Upload 11 files
Browse files- adapter_config.json +16 -0
- adapter_model.bin +3 -0
- all_results.json +11 -0
- eval_results.json +7 -0
- finetuning_args.json +11 -0
- train_results.json +7 -0
- trainer_log.jsonl +453 -0
- trainer_state.json +3103 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
adapter_config.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model_name_or_path": "baichuan-inc/baichuan-7B",
|
| 3 |
+
"bias": "none",
|
| 4 |
+
"fan_in_fan_out": false,
|
| 5 |
+
"inference_mode": true,
|
| 6 |
+
"init_lora_weights": true,
|
| 7 |
+
"lora_alpha": 32.0,
|
| 8 |
+
"lora_dropout": 0.1,
|
| 9 |
+
"modules_to_save": null,
|
| 10 |
+
"peft_type": "LORA",
|
| 11 |
+
"r": 8,
|
| 12 |
+
"target_modules": [
|
| 13 |
+
"W_pack"
|
| 14 |
+
],
|
| 15 |
+
"task_type": "CAUSAL_LM"
|
| 16 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a608b5ca80729ecaa032ad0bfe6b80b33f842f62f183aab7f47d56475108c113
|
| 3 |
+
size 16799153
|
all_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 1.3997734785079956,
|
| 4 |
+
"eval_runtime": 19.9371,
|
| 5 |
+
"eval_samples_per_second": 24.527,
|
| 6 |
+
"eval_steps_per_second": 6.169,
|
| 7 |
+
"train_loss": 1.4043121354732555,
|
| 8 |
+
"train_runtime": 20600.2987,
|
| 9 |
+
"train_samples_per_second": 7.038,
|
| 10 |
+
"train_steps_per_second": 0.22
|
| 11 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 1.3997734785079956,
|
| 4 |
+
"eval_runtime": 19.9371,
|
| 5 |
+
"eval_samples_per_second": 24.527,
|
| 6 |
+
"eval_steps_per_second": 6.169
|
| 7 |
+
}
|
finetuning_args.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"finetuning_type": "lora",
|
| 3 |
+
"lora_alpha": 32.0,
|
| 4 |
+
"lora_dropout": 0.1,
|
| 5 |
+
"lora_rank": 8,
|
| 6 |
+
"lora_target": [
|
| 7 |
+
"W_pack"
|
| 8 |
+
],
|
| 9 |
+
"name_module_trainable": "mlp",
|
| 10 |
+
"num_layer_trainable": 3
|
| 11 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 1.4043121354732555,
|
| 4 |
+
"train_runtime": 20600.2987,
|
| 5 |
+
"train_samples_per_second": 7.038,
|
| 6 |
+
"train_steps_per_second": 0.22
|
| 7 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,453 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 10, "total_steps": 4530, "loss": 1.6257, "reward": null, "learning_rate": 4.999939881018594e-05, "epoch": 0.01, "percentage": 0.22, "elapsed_time": "0:00:48", "remaining_time": "6:04:04"}
|
| 2 |
+
{"current_steps": 20, "total_steps": 4530, "loss": 1.6388, "reward": null, "learning_rate": 4.999759526965809e-05, "epoch": 0.01, "percentage": 0.44, "elapsed_time": "0:01:33", "remaining_time": "5:49:40"}
|
| 3 |
+
{"current_steps": 30, "total_steps": 4530, "loss": 1.5034, "reward": null, "learning_rate": 4.999458946515808e-05, "epoch": 0.02, "percentage": 0.66, "elapsed_time": "0:02:18", "remaining_time": "5:46:24"}
|
| 4 |
+
{"current_steps": 40, "total_steps": 4530, "loss": 1.5761, "reward": null, "learning_rate": 4.999038154125061e-05, "epoch": 0.03, "percentage": 0.88, "elapsed_time": "0:03:01", "remaining_time": "5:40:03"}
|
| 5 |
+
{"current_steps": 50, "total_steps": 4530, "loss": 1.5066, "reward": null, "learning_rate": 4.998497170031657e-05, "epoch": 0.03, "percentage": 1.1, "elapsed_time": "0:03:42", "remaining_time": "5:32:10"}
|
| 6 |
+
{"current_steps": 60, "total_steps": 4530, "loss": 1.5738, "reward": null, "learning_rate": 4.997836020254328e-05, "epoch": 0.04, "percentage": 1.32, "elapsed_time": "0:04:24", "remaining_time": "5:28:48"}
|
| 7 |
+
{"current_steps": 70, "total_steps": 4530, "loss": 1.4921, "reward": null, "learning_rate": 4.9970547365911925e-05, "epoch": 0.05, "percentage": 1.55, "elapsed_time": "0:05:10", "remaining_time": "5:29:44"}
|
| 8 |
+
{"current_steps": 80, "total_steps": 4530, "loss": 1.4508, "reward": null, "learning_rate": 4.996153356618233e-05, "epoch": 0.05, "percentage": 1.77, "elapsed_time": "0:05:55", "remaining_time": "5:29:27"}
|
| 9 |
+
{"current_steps": 90, "total_steps": 4530, "loss": 1.4714, "reward": null, "learning_rate": 4.995131923687488e-05, "epoch": 0.06, "percentage": 1.99, "elapsed_time": "0:06:39", "remaining_time": "5:28:16"}
|
| 10 |
+
{"current_steps": 100, "total_steps": 4530, "loss": 1.494, "reward": null, "learning_rate": 4.9939904869249616e-05, "epoch": 0.07, "percentage": 2.21, "elapsed_time": "0:07:23", "remaining_time": "5:27:38"}
|
| 11 |
+
{"current_steps": 110, "total_steps": 4530, "loss": 1.4934, "reward": null, "learning_rate": 4.992729101228267e-05, "epoch": 0.07, "percentage": 2.43, "elapsed_time": "0:08:27", "remaining_time": "5:39:45"}
|
| 12 |
+
{"current_steps": 120, "total_steps": 4530, "loss": 1.4789, "reward": null, "learning_rate": 4.991347827263982e-05, "epoch": 0.08, "percentage": 2.65, "elapsed_time": "0:09:09", "remaining_time": "5:36:30"}
|
| 13 |
+
{"current_steps": 130, "total_steps": 4530, "loss": 1.4511, "reward": null, "learning_rate": 4.9898467314647356e-05, "epoch": 0.09, "percentage": 2.87, "elapsed_time": "0:09:52", "remaining_time": "5:34:17"}
|
| 14 |
+
{"current_steps": 140, "total_steps": 4530, "loss": 1.4876, "reward": null, "learning_rate": 4.9882258860260065e-05, "epoch": 0.09, "percentage": 3.09, "elapsed_time": "0:10:35", "remaining_time": "5:32:00"}
|
| 15 |
+
{"current_steps": 150, "total_steps": 4530, "loss": 1.5124, "reward": null, "learning_rate": 4.9864853689026556e-05, "epoch": 0.1, "percentage": 3.31, "elapsed_time": "0:11:18", "remaining_time": "5:30:00"}
|
| 16 |
+
{"current_steps": 160, "total_steps": 4530, "loss": 1.4772, "reward": null, "learning_rate": 4.984625263805178e-05, "epoch": 0.11, "percentage": 3.53, "elapsed_time": "0:12:00", "remaining_time": "5:28:04"}
|
| 17 |
+
{"current_steps": 170, "total_steps": 4530, "loss": 1.436, "reward": null, "learning_rate": 4.982645660195671e-05, "epoch": 0.11, "percentage": 3.75, "elapsed_time": "0:12:44", "remaining_time": "5:26:50"}
|
| 18 |
+
{"current_steps": 180, "total_steps": 4530, "loss": 1.4377, "reward": null, "learning_rate": 4.9805466532835376e-05, "epoch": 0.12, "percentage": 3.97, "elapsed_time": "0:13:26", "remaining_time": "5:24:57"}
|
| 19 |
+
{"current_steps": 190, "total_steps": 4530, "loss": 1.438, "reward": null, "learning_rate": 4.978328344020904e-05, "epoch": 0.13, "percentage": 4.19, "elapsed_time": "0:14:10", "remaining_time": "5:23:46"}
|
| 20 |
+
{"current_steps": 200, "total_steps": 4530, "loss": 1.4448, "reward": null, "learning_rate": 4.975990839097764e-05, "epoch": 0.13, "percentage": 4.42, "elapsed_time": "0:14:52", "remaining_time": "5:22:08"}
|
| 21 |
+
{"current_steps": 210, "total_steps": 4530, "loss": 1.452, "reward": null, "learning_rate": 4.973534250936851e-05, "epoch": 0.14, "percentage": 4.64, "elapsed_time": "0:15:58", "remaining_time": "5:28:29"}
|
| 22 |
+
{"current_steps": 220, "total_steps": 4530, "loss": 1.4813, "reward": null, "learning_rate": 4.970958697688226e-05, "epoch": 0.15, "percentage": 4.86, "elapsed_time": "0:16:42", "remaining_time": "5:27:26"}
|
| 23 |
+
{"current_steps": 230, "total_steps": 4530, "loss": 1.41, "reward": null, "learning_rate": 4.9682643032235996e-05, "epoch": 0.15, "percentage": 5.08, "elapsed_time": "0:17:26", "remaining_time": "5:26:12"}
|
| 24 |
+
{"current_steps": 240, "total_steps": 4530, "loss": 1.428, "reward": null, "learning_rate": 4.965451197130373e-05, "epoch": 0.16, "percentage": 5.3, "elapsed_time": "0:18:12", "remaining_time": "5:25:21"}
|
| 25 |
+
{"current_steps": 250, "total_steps": 4530, "loss": 1.463, "reward": null, "learning_rate": 4.9625195147054034e-05, "epoch": 0.17, "percentage": 5.52, "elapsed_time": "0:18:56", "remaining_time": "5:24:16"}
|
| 26 |
+
{"current_steps": 260, "total_steps": 4530, "loss": 1.4821, "reward": null, "learning_rate": 4.9594693969485006e-05, "epoch": 0.17, "percentage": 5.74, "elapsed_time": "0:19:39", "remaining_time": "5:22:51"}
|
| 27 |
+
{"current_steps": 270, "total_steps": 4530, "loss": 1.4855, "reward": null, "learning_rate": 4.956300990555643e-05, "epoch": 0.18, "percentage": 5.96, "elapsed_time": "0:20:25", "remaining_time": "5:22:10"}
|
| 28 |
+
{"current_steps": 280, "total_steps": 4530, "loss": 1.4322, "reward": null, "learning_rate": 4.9530144479119215e-05, "epoch": 0.19, "percentage": 6.18, "elapsed_time": "0:21:09", "remaining_time": "5:21:15"}
|
| 29 |
+
{"current_steps": 290, "total_steps": 4530, "loss": 1.4397, "reward": null, "learning_rate": 4.9496099270842145e-05, "epoch": 0.19, "percentage": 6.4, "elapsed_time": "0:21:51", "remaining_time": "5:19:40"}
|
| 30 |
+
{"current_steps": 300, "total_steps": 4530, "loss": 1.4107, "reward": null, "learning_rate": 4.9460875918135804e-05, "epoch": 0.2, "percentage": 6.62, "elapsed_time": "0:22:35", "remaining_time": "5:18:27"}
|
| 31 |
+
{"current_steps": 310, "total_steps": 4530, "loss": 1.4722, "reward": null, "learning_rate": 4.942447611507386e-05, "epoch": 0.21, "percentage": 6.84, "elapsed_time": "0:23:37", "remaining_time": "5:21:34"}
|
| 32 |
+
{"current_steps": 320, "total_steps": 4530, "loss": 1.423, "reward": null, "learning_rate": 4.938690161231159e-05, "epoch": 0.21, "percentage": 7.06, "elapsed_time": "0:24:21", "remaining_time": "5:20:30"}
|
| 33 |
+
{"current_steps": 330, "total_steps": 4530, "loss": 1.4288, "reward": null, "learning_rate": 4.934815421700165e-05, "epoch": 0.22, "percentage": 7.28, "elapsed_time": "0:25:05", "remaining_time": "5:19:25"}
|
| 34 |
+
{"current_steps": 340, "total_steps": 4530, "loss": 1.4294, "reward": null, "learning_rate": 4.9308235792707194e-05, "epoch": 0.23, "percentage": 7.51, "elapsed_time": "0:25:51", "remaining_time": "5:18:43"}
|
| 35 |
+
{"current_steps": 350, "total_steps": 4530, "loss": 1.4233, "reward": null, "learning_rate": 4.9267148259312224e-05, "epoch": 0.23, "percentage": 7.73, "elapsed_time": "0:26:38", "remaining_time": "5:18:12"}
|
| 36 |
+
{"current_steps": 360, "total_steps": 4530, "loss": 1.4553, "reward": null, "learning_rate": 4.9224893592929275e-05, "epoch": 0.24, "percentage": 7.95, "elapsed_time": "0:27:19", "remaining_time": "5:16:36"}
|
| 37 |
+
{"current_steps": 370, "total_steps": 4530, "loss": 1.4206, "reward": null, "learning_rate": 4.9181473825804346e-05, "epoch": 0.24, "percentage": 8.17, "elapsed_time": "0:28:03", "remaining_time": "5:15:24"}
|
| 38 |
+
{"current_steps": 380, "total_steps": 4530, "loss": 1.442, "reward": null, "learning_rate": 4.913689104621917e-05, "epoch": 0.25, "percentage": 8.39, "elapsed_time": "0:28:48", "remaining_time": "5:14:32"}
|
| 39 |
+
{"current_steps": 390, "total_steps": 4530, "loss": 1.4668, "reward": null, "learning_rate": 4.909114739839079e-05, "epoch": 0.26, "percentage": 8.61, "elapsed_time": "0:29:33", "remaining_time": "5:13:43"}
|
| 40 |
+
{"current_steps": 400, "total_steps": 4530, "loss": 1.4439, "reward": null, "learning_rate": 4.9044245082368415e-05, "epoch": 0.26, "percentage": 8.83, "elapsed_time": "0:30:18", "remaining_time": "5:12:51"}
|
| 41 |
+
{"current_steps": 410, "total_steps": 4530, "loss": 1.4224, "reward": null, "learning_rate": 4.8996186353927606e-05, "epoch": 0.27, "percentage": 9.05, "elapsed_time": "0:31:21", "remaining_time": "5:15:01"}
|
| 42 |
+
{"current_steps": 420, "total_steps": 4530, "loss": 1.4084, "reward": null, "learning_rate": 4.894697352446182e-05, "epoch": 0.28, "percentage": 9.27, "elapsed_time": "0:32:11", "remaining_time": "5:14:58"}
|
| 43 |
+
{"current_steps": 430, "total_steps": 4530, "loss": 1.4398, "reward": null, "learning_rate": 4.889660896087119e-05, "epoch": 0.28, "percentage": 9.49, "elapsed_time": "0:32:54", "remaining_time": "5:13:50"}
|
| 44 |
+
{"current_steps": 440, "total_steps": 4530, "loss": 1.4268, "reward": null, "learning_rate": 4.884509508544874e-05, "epoch": 0.29, "percentage": 9.71, "elapsed_time": "0:33:38", "remaining_time": "5:12:44"}
|
| 45 |
+
{"current_steps": 450, "total_steps": 4530, "loss": 1.4522, "reward": null, "learning_rate": 4.879243437576383e-05, "epoch": 0.3, "percentage": 9.93, "elapsed_time": "0:34:20", "remaining_time": "5:11:24"}
|
| 46 |
+
{"current_steps": 460, "total_steps": 4530, "loss": 1.4222, "reward": null, "learning_rate": 4.8738629364543045e-05, "epoch": 0.3, "percentage": 10.15, "elapsed_time": "0:35:03", "remaining_time": "5:10:09"}
|
| 47 |
+
{"current_steps": 470, "total_steps": 4530, "loss": 1.4956, "reward": null, "learning_rate": 4.8683682639548365e-05, "epoch": 0.31, "percentage": 10.38, "elapsed_time": "0:35:45", "remaining_time": "5:08:51"}
|
| 48 |
+
{"current_steps": 480, "total_steps": 4530, "loss": 1.4538, "reward": null, "learning_rate": 4.862759684345269e-05, "epoch": 0.32, "percentage": 10.6, "elapsed_time": "0:36:28", "remaining_time": "5:07:48"}
|
| 49 |
+
{"current_steps": 490, "total_steps": 4530, "loss": 1.3748, "reward": null, "learning_rate": 4.857037467371278e-05, "epoch": 0.32, "percentage": 10.82, "elapsed_time": "0:37:11", "remaining_time": "5:06:38"}
|
| 50 |
+
{"current_steps": 500, "total_steps": 4530, "loss": 1.4127, "reward": null, "learning_rate": 4.8512018882439475e-05, "epoch": 0.33, "percentage": 11.04, "elapsed_time": "0:37:56", "remaining_time": "5:05:45"}
|
| 51 |
+
{"current_steps": 510, "total_steps": 4530, "loss": 1.3795, "reward": null, "learning_rate": 4.8452532276265364e-05, "epoch": 0.34, "percentage": 11.26, "elapsed_time": "0:39:03", "remaining_time": "5:07:49"}
|
| 52 |
+
{"current_steps": 520, "total_steps": 4530, "loss": 1.4414, "reward": null, "learning_rate": 4.8391917716209765e-05, "epoch": 0.34, "percentage": 11.48, "elapsed_time": "0:39:45", "remaining_time": "5:06:35"}
|
| 53 |
+
{"current_steps": 530, "total_steps": 4530, "loss": 1.4242, "reward": null, "learning_rate": 4.833017811754119e-05, "epoch": 0.35, "percentage": 11.7, "elapsed_time": "0:40:27", "remaining_time": "5:05:19"}
|
| 54 |
+
{"current_steps": 540, "total_steps": 4530, "loss": 1.4196, "reward": null, "learning_rate": 4.8267316449637054e-05, "epoch": 0.36, "percentage": 11.92, "elapsed_time": "0:41:09", "remaining_time": "5:04:08"}
|
| 55 |
+
{"current_steps": 550, "total_steps": 4530, "loss": 1.389, "reward": null, "learning_rate": 4.820333573584091e-05, "epoch": 0.36, "percentage": 12.14, "elapsed_time": "0:41:52", "remaining_time": "5:03:02"}
|
| 56 |
+
{"current_steps": 560, "total_steps": 4530, "loss": 1.4597, "reward": null, "learning_rate": 4.813823905331704e-05, "epoch": 0.37, "percentage": 12.36, "elapsed_time": "0:42:36", "remaining_time": "5:02:04"}
|
| 57 |
+
{"current_steps": 570, "total_steps": 4530, "loss": 1.4275, "reward": null, "learning_rate": 4.8072029532902426e-05, "epoch": 0.38, "percentage": 12.58, "elapsed_time": "0:43:22", "remaining_time": "5:01:23"}
|
| 58 |
+
{"current_steps": 580, "total_steps": 4530, "loss": 1.4364, "reward": null, "learning_rate": 4.800471035895624e-05, "epoch": 0.38, "percentage": 12.8, "elapsed_time": "0:44:08", "remaining_time": "5:00:38"}
|
| 59 |
+
{"current_steps": 590, "total_steps": 4530, "loss": 1.4366, "reward": null, "learning_rate": 4.7936284769206584e-05, "epoch": 0.39, "percentage": 13.02, "elapsed_time": "0:44:49", "remaining_time": "4:59:23"}
|
| 60 |
+
{"current_steps": 600, "total_steps": 4530, "loss": 1.5086, "reward": null, "learning_rate": 4.786675605459487e-05, "epoch": 0.4, "percentage": 13.25, "elapsed_time": "0:45:33", "remaining_time": "4:58:27"}
|
| 61 |
+
{"current_steps": 610, "total_steps": 4530, "loss": 1.4309, "reward": null, "learning_rate": 4.779612755911752e-05, "epoch": 0.4, "percentage": 13.47, "elapsed_time": "0:46:38", "remaining_time": "4:59:43"}
|
| 62 |
+
{"current_steps": 620, "total_steps": 4530, "loss": 1.4102, "reward": null, "learning_rate": 4.772440267966508e-05, "epoch": 0.41, "percentage": 13.69, "elapsed_time": "0:47:21", "remaining_time": "4:58:40"}
|
| 63 |
+
{"current_steps": 630, "total_steps": 4530, "loss": 1.4035, "reward": null, "learning_rate": 4.76515848658589e-05, "epoch": 0.42, "percentage": 13.91, "elapsed_time": "0:48:05", "remaining_time": "4:57:42"}
|
| 64 |
+
{"current_steps": 640, "total_steps": 4530, "loss": 1.4478, "reward": null, "learning_rate": 4.7577677619885234e-05, "epoch": 0.42, "percentage": 14.13, "elapsed_time": "0:48:45", "remaining_time": "4:56:24"}
|
| 65 |
+
{"current_steps": 650, "total_steps": 4530, "loss": 1.3999, "reward": null, "learning_rate": 4.7502684496326746e-05, "epoch": 0.43, "percentage": 14.35, "elapsed_time": "0:49:28", "remaining_time": "4:55:21"}
|
| 66 |
+
{"current_steps": 660, "total_steps": 4530, "loss": 1.4042, "reward": null, "learning_rate": 4.7426609101991605e-05, "epoch": 0.44, "percentage": 14.57, "elapsed_time": "0:50:13", "remaining_time": "4:54:30"}
|
| 67 |
+
{"current_steps": 670, "total_steps": 4530, "loss": 1.4216, "reward": null, "learning_rate": 4.734945509573997e-05, "epoch": 0.44, "percentage": 14.79, "elapsed_time": "0:50:55", "remaining_time": "4:53:21"}
|
| 68 |
+
{"current_steps": 680, "total_steps": 4530, "loss": 1.4786, "reward": null, "learning_rate": 4.727122618830808e-05, "epoch": 0.45, "percentage": 15.01, "elapsed_time": "0:51:41", "remaining_time": "4:52:40"}
|
| 69 |
+
{"current_steps": 690, "total_steps": 4530, "loss": 1.4414, "reward": null, "learning_rate": 4.719192614212969e-05, "epoch": 0.46, "percentage": 15.23, "elapsed_time": "0:52:24", "remaining_time": "4:51:40"}
|
| 70 |
+
{"current_steps": 700, "total_steps": 4530, "loss": 1.493, "reward": null, "learning_rate": 4.711155877115523e-05, "epoch": 0.46, "percentage": 15.45, "elapsed_time": "0:53:05", "remaining_time": "4:50:29"}
|
| 71 |
+
{"current_steps": 710, "total_steps": 4530, "loss": 1.4078, "reward": null, "learning_rate": 4.703012794066827e-05, "epoch": 0.47, "percentage": 15.67, "elapsed_time": "0:54:12", "remaining_time": "4:51:37"}
|
| 72 |
+
{"current_steps": 720, "total_steps": 4530, "loss": 1.4539, "reward": null, "learning_rate": 4.694763756709967e-05, "epoch": 0.48, "percentage": 15.89, "elapsed_time": "0:54:58", "remaining_time": "4:50:53"}
|
| 73 |
+
{"current_steps": 730, "total_steps": 4530, "loss": 1.4458, "reward": null, "learning_rate": 4.6864091617839235e-05, "epoch": 0.48, "percentage": 16.11, "elapsed_time": "0:55:42", "remaining_time": "4:49:59"}
|
| 74 |
+
{"current_steps": 740, "total_steps": 4530, "loss": 1.4001, "reward": null, "learning_rate": 4.677949411104485e-05, "epoch": 0.49, "percentage": 16.34, "elapsed_time": "0:56:25", "remaining_time": "4:49:01"}
|
| 75 |
+
{"current_steps": 750, "total_steps": 4530, "loss": 1.433, "reward": null, "learning_rate": 4.669384911544927e-05, "epoch": 0.5, "percentage": 16.56, "elapsed_time": "0:57:09", "remaining_time": "4:48:06"}
|
| 76 |
+
{"current_steps": 760, "total_steps": 4530, "loss": 1.4323, "reward": null, "learning_rate": 4.660716075016442e-05, "epoch": 0.5, "percentage": 16.78, "elapsed_time": "0:57:56", "remaining_time": "4:47:24"}
|
| 77 |
+
{"current_steps": 770, "total_steps": 4530, "loss": 1.4052, "reward": null, "learning_rate": 4.6519433184483245e-05, "epoch": 0.51, "percentage": 17.0, "elapsed_time": "0:58:42", "remaining_time": "4:46:39"}
|
| 78 |
+
{"current_steps": 780, "total_steps": 4530, "loss": 1.4021, "reward": null, "learning_rate": 4.6430670637679295e-05, "epoch": 0.52, "percentage": 17.22, "elapsed_time": "0:59:27", "remaining_time": "4:45:52"}
|
| 79 |
+
{"current_steps": 790, "total_steps": 4530, "loss": 1.4049, "reward": null, "learning_rate": 4.634087737880367e-05, "epoch": 0.52, "percentage": 17.44, "elapsed_time": "1:00:12", "remaining_time": "4:45:03"}
|
| 80 |
+
{"current_steps": 800, "total_steps": 4530, "loss": 1.3701, "reward": null, "learning_rate": 4.625005772647979e-05, "epoch": 0.53, "percentage": 17.66, "elapsed_time": "1:00:57", "remaining_time": "4:44:14"}
|
| 81 |
+
{"current_steps": 810, "total_steps": 4530, "loss": 1.4209, "reward": null, "learning_rate": 4.615821604869564e-05, "epoch": 0.54, "percentage": 17.88, "elapsed_time": "1:02:00", "remaining_time": "4:44:45"}
|
| 82 |
+
{"current_steps": 820, "total_steps": 4530, "loss": 1.4373, "reward": null, "learning_rate": 4.606535676259372e-05, "epoch": 0.54, "percentage": 18.1, "elapsed_time": "1:02:43", "remaining_time": "4:43:47"}
|
| 83 |
+
{"current_steps": 830, "total_steps": 4530, "loss": 1.4913, "reward": null, "learning_rate": 4.597148433425857e-05, "epoch": 0.55, "percentage": 18.32, "elapsed_time": "1:03:26", "remaining_time": "4:42:48"}
|
| 84 |
+
{"current_steps": 840, "total_steps": 4530, "loss": 1.434, "reward": null, "learning_rate": 4.587660327850203e-05, "epoch": 0.56, "percentage": 18.54, "elapsed_time": "1:04:13", "remaining_time": "4:42:06"}
|
| 85 |
+
{"current_steps": 850, "total_steps": 4530, "loss": 1.3932, "reward": null, "learning_rate": 4.578071815864602e-05, "epoch": 0.56, "percentage": 18.76, "elapsed_time": "1:04:58", "remaining_time": "4:41:18"}
|
| 86 |
+
{"current_steps": 860, "total_steps": 4530, "loss": 1.4232, "reward": null, "learning_rate": 4.5683833586303157e-05, "epoch": 0.57, "percentage": 18.98, "elapsed_time": "1:05:41", "remaining_time": "4:40:19"}
|
| 87 |
+
{"current_steps": 870, "total_steps": 4530, "loss": 1.3651, "reward": null, "learning_rate": 4.5585954221154856e-05, "epoch": 0.58, "percentage": 19.21, "elapsed_time": "1:06:24", "remaining_time": "4:39:23"}
|
| 88 |
+
{"current_steps": 880, "total_steps": 4530, "loss": 1.4009, "reward": null, "learning_rate": 4.548708477072733e-05, "epoch": 0.58, "percentage": 19.43, "elapsed_time": "1:07:10", "remaining_time": "4:38:38"}
|
| 89 |
+
{"current_steps": 890, "total_steps": 4530, "loss": 1.428, "reward": null, "learning_rate": 4.5387229990165073e-05, "epoch": 0.59, "percentage": 19.65, "elapsed_time": "1:07:55", "remaining_time": "4:37:49"}
|
| 90 |
+
{"current_steps": 900, "total_steps": 4530, "loss": 1.413, "reward": null, "learning_rate": 4.528639468200226e-05, "epoch": 0.6, "percentage": 19.87, "elapsed_time": "1:08:40", "remaining_time": "4:36:57"}
|
| 91 |
+
{"current_steps": 910, "total_steps": 4530, "loss": 1.4328, "reward": null, "learning_rate": 4.51845836959317e-05, "epoch": 0.6, "percentage": 20.09, "elapsed_time": "1:09:42", "remaining_time": "4:37:19"}
|
| 92 |
+
{"current_steps": 920, "total_steps": 4530, "loss": 1.4262, "reward": null, "learning_rate": 4.508180192857162e-05, "epoch": 0.61, "percentage": 20.31, "elapsed_time": "1:10:27", "remaining_time": "4:36:28"}
|
| 93 |
+
{"current_steps": 930, "total_steps": 4530, "loss": 1.3677, "reward": null, "learning_rate": 4.497805432323015e-05, "epoch": 0.62, "percentage": 20.53, "elapsed_time": "1:11:12", "remaining_time": "4:35:39"}
|
| 94 |
+
{"current_steps": 940, "total_steps": 4530, "loss": 1.4546, "reward": null, "learning_rate": 4.487334586966756e-05, "epoch": 0.62, "percentage": 20.75, "elapsed_time": "1:11:54", "remaining_time": "4:34:37"}
|
| 95 |
+
{"current_steps": 950, "total_steps": 4530, "loss": 1.4011, "reward": null, "learning_rate": 4.476768160385632e-05, "epoch": 0.63, "percentage": 20.97, "elapsed_time": "1:12:39", "remaining_time": "4:33:49"}
|
| 96 |
+
{"current_steps": 960, "total_steps": 4530, "loss": 1.441, "reward": null, "learning_rate": 4.466106660773885e-05, "epoch": 0.64, "percentage": 21.19, "elapsed_time": "1:13:22", "remaining_time": "4:32:50"}
|
| 97 |
+
{"current_steps": 970, "total_steps": 4530, "loss": 1.3946, "reward": null, "learning_rate": 4.4553506008983126e-05, "epoch": 0.64, "percentage": 21.41, "elapsed_time": "1:14:06", "remaining_time": "4:31:57"}
|
| 98 |
+
{"current_steps": 980, "total_steps": 4530, "loss": 1.4478, "reward": null, "learning_rate": 4.4445004980736064e-05, "epoch": 0.65, "percentage": 21.63, "elapsed_time": "1:14:47", "remaining_time": "4:30:55"}
|
| 99 |
+
{"current_steps": 990, "total_steps": 4530, "loss": 1.4093, "reward": null, "learning_rate": 4.43355687413747e-05, "epoch": 0.66, "percentage": 21.85, "elapsed_time": "1:15:30", "remaining_time": "4:29:58"}
|
| 100 |
+
{"current_steps": 1000, "total_steps": 4530, "loss": 1.4285, "reward": null, "learning_rate": 4.4225202554255227e-05, "epoch": 0.66, "percentage": 22.08, "elapsed_time": "1:16:14", "remaining_time": "4:29:06"}
|
| 101 |
+
{"current_steps": 1010, "total_steps": 4530, "loss": 1.3971, "reward": null, "learning_rate": 4.411391172745984e-05, "epoch": 0.67, "percentage": 22.3, "elapsed_time": "1:17:17", "remaining_time": "4:29:20"}
|
| 102 |
+
{"current_steps": 1020, "total_steps": 4530, "loss": 1.4024, "reward": null, "learning_rate": 4.4001701613541456e-05, "epoch": 0.68, "percentage": 22.52, "elapsed_time": "1:18:00", "remaining_time": "4:28:26"}
|
| 103 |
+
{"current_steps": 1030, "total_steps": 4530, "loss": 1.3623, "reward": null, "learning_rate": 4.388857760926629e-05, "epoch": 0.68, "percentage": 22.74, "elapsed_time": "1:18:45", "remaining_time": "4:27:37"}
|
| 104 |
+
{"current_steps": 1040, "total_steps": 4530, "loss": 1.3943, "reward": null, "learning_rate": 4.3774545155354254e-05, "epoch": 0.69, "percentage": 22.96, "elapsed_time": "1:19:31", "remaining_time": "4:26:53"}
|
| 105 |
+
{"current_steps": 1050, "total_steps": 4530, "loss": 1.4586, "reward": null, "learning_rate": 4.3659609736217344e-05, "epoch": 0.7, "percentage": 23.18, "elapsed_time": "1:20:18", "remaining_time": "4:26:09"}
|
| 106 |
+
{"current_steps": 1060, "total_steps": 4530, "loss": 1.4178, "reward": null, "learning_rate": 4.354377687969581e-05, "epoch": 0.7, "percentage": 23.4, "elapsed_time": "1:21:00", "remaining_time": "4:25:10"}
|
| 107 |
+
{"current_steps": 1070, "total_steps": 4530, "loss": 1.4454, "reward": null, "learning_rate": 4.342705215679232e-05, "epoch": 0.71, "percentage": 23.62, "elapsed_time": "1:21:44", "remaining_time": "4:24:18"}
|
| 108 |
+
{"current_steps": 1080, "total_steps": 4530, "loss": 1.3769, "reward": null, "learning_rate": 4.330944118140407e-05, "epoch": 0.72, "percentage": 23.84, "elapsed_time": "1:22:33", "remaining_time": "4:23:44"}
|
| 109 |
+
{"current_steps": 1090, "total_steps": 4530, "loss": 1.3912, "reward": null, "learning_rate": 4.3190949610052645e-05, "epoch": 0.72, "percentage": 24.06, "elapsed_time": "1:23:18", "remaining_time": "4:22:53"}
|
| 110 |
+
{"current_steps": 1100, "total_steps": 4530, "loss": 1.4116, "reward": null, "learning_rate": 4.3071583141612135e-05, "epoch": 0.73, "percentage": 24.28, "elapsed_time": "1:24:01", "remaining_time": "4:21:58"}
|
| 111 |
+
{"current_steps": 1110, "total_steps": 4530, "loss": 1.4019, "reward": null, "learning_rate": 4.295134751703493e-05, "epoch": 0.73, "percentage": 24.5, "elapsed_time": "1:25:01", "remaining_time": "4:21:59"}
|
| 112 |
+
{"current_steps": 1120, "total_steps": 4530, "loss": 1.378, "reward": null, "learning_rate": 4.283024851907565e-05, "epoch": 0.74, "percentage": 24.72, "elapsed_time": "1:25:46", "remaining_time": "4:21:09"}
|
| 113 |
+
{"current_steps": 1130, "total_steps": 4530, "loss": 1.432, "reward": null, "learning_rate": 4.2708291972013026e-05, "epoch": 0.75, "percentage": 24.94, "elapsed_time": "1:26:31", "remaining_time": "4:20:19"}
|
| 114 |
+
{"current_steps": 1140, "total_steps": 4530, "loss": 1.4531, "reward": null, "learning_rate": 4.2585483741369755e-05, "epoch": 0.75, "percentage": 25.17, "elapsed_time": "1:27:13", "remaining_time": "4:19:24"}
|
| 115 |
+
{"current_steps": 1150, "total_steps": 4530, "loss": 1.4455, "reward": null, "learning_rate": 4.2461829733630435e-05, "epoch": 0.76, "percentage": 25.39, "elapsed_time": "1:27:58", "remaining_time": "4:18:34"}
|
| 116 |
+
{"current_steps": 1160, "total_steps": 4530, "loss": 1.4081, "reward": null, "learning_rate": 4.233733589595746e-05, "epoch": 0.77, "percentage": 25.61, "elapsed_time": "1:28:40", "remaining_time": "4:17:38"}
|
| 117 |
+
{"current_steps": 1170, "total_steps": 4530, "loss": 1.4344, "reward": null, "learning_rate": 4.2212008215905e-05, "epoch": 0.77, "percentage": 25.83, "elapsed_time": "1:29:22", "remaining_time": "4:16:38"}
|
| 118 |
+
{"current_steps": 1180, "total_steps": 4530, "loss": 1.3935, "reward": null, "learning_rate": 4.208585272113102e-05, "epoch": 0.78, "percentage": 26.05, "elapsed_time": "1:30:04", "remaining_time": "4:15:43"}
|
| 119 |
+
{"current_steps": 1190, "total_steps": 4530, "loss": 1.4161, "reward": null, "learning_rate": 4.195887547910741e-05, "epoch": 0.79, "percentage": 26.27, "elapsed_time": "1:30:49", "remaining_time": "4:14:54"}
|
| 120 |
+
{"current_steps": 1200, "total_steps": 4530, "loss": 1.4185, "reward": null, "learning_rate": 4.1831082596828106e-05, "epoch": 0.79, "percentage": 26.49, "elapsed_time": "1:31:31", "remaining_time": "4:13:59"}
|
| 121 |
+
{"current_steps": 1210, "total_steps": 4530, "loss": 1.3714, "reward": null, "learning_rate": 4.1702480220515475e-05, "epoch": 0.8, "percentage": 26.71, "elapsed_time": "1:32:38", "remaining_time": "4:14:10"}
|
| 122 |
+
{"current_steps": 1220, "total_steps": 4530, "loss": 1.4062, "reward": null, "learning_rate": 4.157307453532457e-05, "epoch": 0.81, "percentage": 26.93, "elapsed_time": "1:33:23", "remaining_time": "4:13:23"}
|
| 123 |
+
{"current_steps": 1230, "total_steps": 4530, "loss": 1.4007, "reward": null, "learning_rate": 4.144287176504582e-05, "epoch": 0.81, "percentage": 27.15, "elapsed_time": "1:34:06", "remaining_time": "4:12:29"}
|
| 124 |
+
{"current_steps": 1240, "total_steps": 4530, "loss": 1.4153, "reward": null, "learning_rate": 4.131187817180554e-05, "epoch": 0.82, "percentage": 27.37, "elapsed_time": "1:34:51", "remaining_time": "4:11:41"}
|
| 125 |
+
{"current_steps": 1250, "total_steps": 4530, "loss": 1.3619, "reward": null, "learning_rate": 4.118010005576485e-05, "epoch": 0.83, "percentage": 27.59, "elapsed_time": "1:35:34", "remaining_time": "4:10:48"}
|
| 126 |
+
{"current_steps": 1260, "total_steps": 4530, "loss": 1.507, "reward": null, "learning_rate": 4.104754375481664e-05, "epoch": 0.83, "percentage": 27.81, "elapsed_time": "1:36:17", "remaining_time": "4:09:53"}
|
| 127 |
+
{"current_steps": 1270, "total_steps": 4530, "loss": 1.4487, "reward": null, "learning_rate": 4.0914215644280754e-05, "epoch": 0.84, "percentage": 28.04, "elapsed_time": "1:36:58", "remaining_time": "4:08:55"}
|
| 128 |
+
{"current_steps": 1280, "total_steps": 4530, "loss": 1.409, "reward": null, "learning_rate": 4.0780122136597323e-05, "epoch": 0.85, "percentage": 28.26, "elapsed_time": "1:37:42", "remaining_time": "4:08:04"}
|
| 129 |
+
{"current_steps": 1290, "total_steps": 4530, "loss": 1.3994, "reward": null, "learning_rate": 4.064526968101844e-05, "epoch": 0.85, "percentage": 28.48, "elapsed_time": "1:38:23", "remaining_time": "4:07:07"}
|
| 130 |
+
{"current_steps": 1300, "total_steps": 4530, "loss": 1.4285, "reward": null, "learning_rate": 4.050966476329793e-05, "epoch": 0.86, "percentage": 28.7, "elapsed_time": "1:39:06", "remaining_time": "4:06:14"}
|
| 131 |
+
{"current_steps": 1310, "total_steps": 4530, "loss": 1.4562, "reward": null, "learning_rate": 4.037331390537939e-05, "epoch": 0.87, "percentage": 28.92, "elapsed_time": "1:40:10", "remaining_time": "4:06:13"}
|
| 132 |
+
{"current_steps": 1320, "total_steps": 4530, "loss": 1.4202, "reward": null, "learning_rate": 4.023622366508261e-05, "epoch": 0.87, "percentage": 29.14, "elapsed_time": "1:40:53", "remaining_time": "4:05:22"}
|
| 133 |
+
{"current_steps": 1330, "total_steps": 4530, "loss": 1.381, "reward": null, "learning_rate": 4.0098400635788035e-05, "epoch": 0.88, "percentage": 29.36, "elapsed_time": "1:41:37", "remaining_time": "4:04:30"}
|
| 134 |
+
{"current_steps": 1340, "total_steps": 4530, "loss": 1.4656, "reward": null, "learning_rate": 3.99598514461198e-05, "epoch": 0.89, "percentage": 29.58, "elapsed_time": "1:42:16", "remaining_time": "4:03:27"}
|
| 135 |
+
{"current_steps": 1350, "total_steps": 4530, "loss": 1.4094, "reward": null, "learning_rate": 3.9820582759626825e-05, "epoch": 0.89, "percentage": 29.8, "elapsed_time": "1:43:03", "remaining_time": "4:02:45"}
|
| 136 |
+
{"current_steps": 1360, "total_steps": 4530, "loss": 1.4183, "reward": null, "learning_rate": 3.968060127446236e-05, "epoch": 0.9, "percentage": 30.02, "elapsed_time": "1:43:46", "remaining_time": "4:01:53"}
|
| 137 |
+
{"current_steps": 1370, "total_steps": 4530, "loss": 1.411, "reward": null, "learning_rate": 3.953991372306186e-05, "epoch": 0.91, "percentage": 30.24, "elapsed_time": "1:44:29", "remaining_time": "4:01:00"}
|
| 138 |
+
{"current_steps": 1380, "total_steps": 4530, "loss": 1.418, "reward": null, "learning_rate": 3.9398526871819154e-05, "epoch": 0.91, "percentage": 30.46, "elapsed_time": "1:45:13", "remaining_time": "4:00:10"}
|
| 139 |
+
{"current_steps": 1390, "total_steps": 4530, "loss": 1.4751, "reward": null, "learning_rate": 3.925644752076101e-05, "epoch": 0.92, "percentage": 30.68, "elapsed_time": "1:45:55", "remaining_time": "3:59:17"}
|
| 140 |
+
{"current_steps": 1400, "total_steps": 4530, "loss": 1.4246, "reward": null, "learning_rate": 3.911368250322014e-05, "epoch": 0.93, "percentage": 30.91, "elapsed_time": "1:46:39", "remaining_time": "3:58:27"}
|
| 141 |
+
{"current_steps": 1410, "total_steps": 4530, "loss": 1.4102, "reward": null, "learning_rate": 3.897023868550649e-05, "epoch": 0.93, "percentage": 31.13, "elapsed_time": "1:47:40", "remaining_time": "3:58:15"}
|
| 142 |
+
{"current_steps": 1420, "total_steps": 4530, "loss": 1.3871, "reward": null, "learning_rate": 3.882612296657701e-05, "epoch": 0.94, "percentage": 31.35, "elapsed_time": "1:48:23", "remaining_time": "3:57:24"}
|
| 143 |
+
{"current_steps": 1430, "total_steps": 4530, "loss": 1.4156, "reward": null, "learning_rate": 3.8681342277703906e-05, "epoch": 0.95, "percentage": 31.57, "elapsed_time": "1:49:06", "remaining_time": "3:56:32"}
|
| 144 |
+
{"current_steps": 1440, "total_steps": 4530, "loss": 1.433, "reward": null, "learning_rate": 3.853590358214119e-05, "epoch": 0.95, "percentage": 31.79, "elapsed_time": "1:49:49", "remaining_time": "3:55:40"}
|
| 145 |
+
{"current_steps": 1450, "total_steps": 4530, "loss": 1.4372, "reward": null, "learning_rate": 3.8389813874789856e-05, "epoch": 0.96, "percentage": 32.01, "elapsed_time": "1:50:31", "remaining_time": "3:54:46"}
|
| 146 |
+
{"current_steps": 1460, "total_steps": 4530, "loss": 1.3978, "reward": null, "learning_rate": 3.8243080181861435e-05, "epoch": 0.97, "percentage": 32.23, "elapsed_time": "1:51:13", "remaining_time": "3:53:52"}
|
| 147 |
+
{"current_steps": 1470, "total_steps": 4530, "loss": 1.3964, "reward": null, "learning_rate": 3.809570956054004e-05, "epoch": 0.97, "percentage": 32.45, "elapsed_time": "1:51:54", "remaining_time": "3:52:56"}
|
| 148 |
+
{"current_steps": 1480, "total_steps": 4530, "loss": 1.4332, "reward": null, "learning_rate": 3.794770909864298e-05, "epoch": 0.98, "percentage": 32.67, "elapsed_time": "1:52:35", "remaining_time": "3:52:02"}
|
| 149 |
+
{"current_steps": 1490, "total_steps": 4530, "loss": 1.4044, "reward": null, "learning_rate": 3.779908591427988e-05, "epoch": 0.99, "percentage": 32.89, "elapsed_time": "1:53:20", "remaining_time": "3:51:14"}
|
| 150 |
+
{"current_steps": 1500, "total_steps": 4530, "loss": 1.4301, "reward": null, "learning_rate": 3.764984715551032e-05, "epoch": 0.99, "percentage": 33.11, "elapsed_time": "1:54:00", "remaining_time": "3:50:18"}
|
| 151 |
+
{"current_steps": 1510, "total_steps": 4530, "loss": 1.4721, "reward": null, "learning_rate": 3.7500000000000003e-05, "epoch": 1.0, "percentage": 33.33, "elapsed_time": "1:55:04", "remaining_time": "3:50:08"}
|
| 152 |
+
{"current_steps": 1520, "total_steps": 4530, "loss": 1.3905, "reward": null, "learning_rate": 3.734955165467563e-05, "epoch": 1.01, "percentage": 33.55, "elapsed_time": "1:55:47", "remaining_time": "3:49:17"}
|
| 153 |
+
{"current_steps": 1530, "total_steps": 4530, "loss": 1.423, "reward": null, "learning_rate": 3.719850935537821e-05, "epoch": 1.01, "percentage": 33.77, "elapsed_time": "1:56:29", "remaining_time": "3:48:24"}
|
| 154 |
+
{"current_steps": 1540, "total_steps": 4530, "loss": 1.404, "reward": null, "learning_rate": 3.70468803665151e-05, "epoch": 1.02, "percentage": 34.0, "elapsed_time": "1:57:10", "remaining_time": "3:47:30"}
|
| 155 |
+
{"current_steps": 1550, "total_steps": 4530, "loss": 1.4042, "reward": null, "learning_rate": 3.6894671980710574e-05, "epoch": 1.03, "percentage": 34.22, "elapsed_time": "1:57:54", "remaining_time": "3:46:42"}
|
| 156 |
+
{"current_steps": 1560, "total_steps": 4530, "loss": 1.4158, "reward": null, "learning_rate": 3.674189151845515e-05, "epoch": 1.03, "percentage": 34.44, "elapsed_time": "1:58:40", "remaining_time": "3:45:55"}
|
| 157 |
+
{"current_steps": 1570, "total_steps": 4530, "loss": 1.409, "reward": null, "learning_rate": 3.6588546327753425e-05, "epoch": 1.04, "percentage": 34.66, "elapsed_time": "1:59:21", "remaining_time": "3:45:01"}
|
| 158 |
+
{"current_steps": 1580, "total_steps": 4530, "loss": 1.3764, "reward": null, "learning_rate": 3.6434643783770736e-05, "epoch": 1.05, "percentage": 34.88, "elapsed_time": "2:00:04", "remaining_time": "3:44:11"}
|
| 159 |
+
{"current_steps": 1590, "total_steps": 4530, "loss": 1.4021, "reward": null, "learning_rate": 3.6280191288478436e-05, "epoch": 1.05, "percentage": 35.1, "elapsed_time": "2:00:47", "remaining_time": "3:43:20"}
|
| 160 |
+
{"current_steps": 1600, "total_steps": 4530, "loss": 1.3973, "reward": null, "learning_rate": 3.612519627029787e-05, "epoch": 1.06, "percentage": 35.32, "elapsed_time": "2:01:26", "remaining_time": "3:42:22"}
|
| 161 |
+
{"current_steps": 1610, "total_steps": 4530, "loss": 1.3985, "reward": null, "learning_rate": 3.596966618374313e-05, "epoch": 1.07, "percentage": 35.54, "elapsed_time": "2:02:32", "remaining_time": "3:42:14"}
|
| 162 |
+
{"current_steps": 1620, "total_steps": 4530, "loss": 1.3444, "reward": null, "learning_rate": 3.5813608509062526e-05, "epoch": 1.07, "percentage": 35.76, "elapsed_time": "2:03:19", "remaining_time": "3:41:31"}
|
| 163 |
+
{"current_steps": 1630, "total_steps": 4530, "loss": 1.4207, "reward": null, "learning_rate": 3.5657030751878814e-05, "epoch": 1.08, "percentage": 35.98, "elapsed_time": "2:04:00", "remaining_time": "3:40:38"}
|
| 164 |
+
{"current_steps": 1640, "total_steps": 4530, "loss": 1.4304, "reward": null, "learning_rate": 3.5499940442828206e-05, "epoch": 1.09, "percentage": 36.2, "elapsed_time": "2:04:42", "remaining_time": "3:39:46"}
|
| 165 |
+
{"current_steps": 1650, "total_steps": 4530, "loss": 1.3924, "reward": null, "learning_rate": 3.534234513719821e-05, "epoch": 1.09, "percentage": 36.42, "elapsed_time": "2:05:25", "remaining_time": "3:38:54"}
|
| 166 |
+
{"current_steps": 1660, "total_steps": 4530, "loss": 1.3686, "reward": null, "learning_rate": 3.51842524145642e-05, "epoch": 1.1, "percentage": 36.64, "elapsed_time": "2:06:11", "remaining_time": "3:38:09"}
|
| 167 |
+
{"current_steps": 1670, "total_steps": 4530, "loss": 1.4248, "reward": null, "learning_rate": 3.502566987842496e-05, "epoch": 1.11, "percentage": 36.87, "elapsed_time": "2:06:53", "remaining_time": "3:37:18"}
|
| 168 |
+
{"current_steps": 1680, "total_steps": 4530, "loss": 1.3906, "reward": null, "learning_rate": 3.4866605155836915e-05, "epoch": 1.11, "percentage": 37.09, "elapsed_time": "2:07:34", "remaining_time": "3:36:25"}
|
| 169 |
+
{"current_steps": 1690, "total_steps": 4530, "loss": 1.444, "reward": null, "learning_rate": 3.470706589704734e-05, "epoch": 1.12, "percentage": 37.31, "elapsed_time": "2:08:19", "remaining_time": "3:35:37"}
|
| 170 |
+
{"current_steps": 1700, "total_steps": 4530, "loss": 1.3589, "reward": null, "learning_rate": 3.4547059775126445e-05, "epoch": 1.13, "percentage": 37.53, "elapsed_time": "2:09:04", "remaining_time": "3:34:52"}
|
| 171 |
+
{"current_steps": 1710, "total_steps": 4530, "loss": 1.319, "reward": null, "learning_rate": 3.438659448559825e-05, "epoch": 1.13, "percentage": 37.75, "elapsed_time": "2:10:07", "remaining_time": "3:34:34"}
|
| 172 |
+
{"current_steps": 1720, "total_steps": 4530, "loss": 1.406, "reward": null, "learning_rate": 3.422567774607058e-05, "epoch": 1.14, "percentage": 37.97, "elapsed_time": "2:10:50", "remaining_time": "3:33:44"}
|
| 173 |
+
{"current_steps": 1730, "total_steps": 4530, "loss": 1.4114, "reward": null, "learning_rate": 3.406431729586382e-05, "epoch": 1.15, "percentage": 38.19, "elapsed_time": "2:11:33", "remaining_time": "3:32:55"}
|
| 174 |
+
{"current_steps": 1740, "total_steps": 4530, "loss": 1.3722, "reward": null, "learning_rate": 3.390252089563867e-05, "epoch": 1.15, "percentage": 38.41, "elapsed_time": "2:12:16", "remaining_time": "3:32:05"}
|
| 175 |
+
{"current_steps": 1750, "total_steps": 4530, "loss": 1.3528, "reward": null, "learning_rate": 3.3740296327022984e-05, "epoch": 1.16, "percentage": 38.63, "elapsed_time": "2:13:01", "remaining_time": "3:31:19"}
|
| 176 |
+
{"current_steps": 1760, "total_steps": 4530, "loss": 1.4274, "reward": null, "learning_rate": 3.35776513922374e-05, "epoch": 1.17, "percentage": 38.85, "elapsed_time": "2:13:45", "remaining_time": "3:30:31"}
|
| 177 |
+
{"current_steps": 1770, "total_steps": 4530, "loss": 1.4324, "reward": null, "learning_rate": 3.341459391372016e-05, "epoch": 1.17, "percentage": 39.07, "elapsed_time": "2:14:29", "remaining_time": "3:29:43"}
|
| 178 |
+
{"current_steps": 1780, "total_steps": 4530, "loss": 1.409, "reward": null, "learning_rate": 3.32511317337509e-05, "epoch": 1.18, "percentage": 39.29, "elapsed_time": "2:15:10", "remaining_time": "3:28:50"}
|
| 179 |
+
{"current_steps": 1790, "total_steps": 4530, "loss": 1.3464, "reward": null, "learning_rate": 3.30872727140734e-05, "epoch": 1.19, "percentage": 39.51, "elapsed_time": "2:15:55", "remaining_time": "3:28:04"}
|
| 180 |
+
{"current_steps": 1800, "total_steps": 4530, "loss": 1.4144, "reward": null, "learning_rate": 3.292302473551757e-05, "epoch": 1.19, "percentage": 39.74, "elapsed_time": "2:16:40", "remaining_time": "3:27:16"}
|
| 181 |
+
{"current_steps": 1810, "total_steps": 4530, "loss": 1.4139, "reward": null, "learning_rate": 3.2758395697620334e-05, "epoch": 1.2, "percentage": 39.96, "elapsed_time": "2:17:41", "remaining_time": "3:26:55"}
|
| 182 |
+
{"current_steps": 1820, "total_steps": 4530, "loss": 1.4247, "reward": null, "learning_rate": 3.259339351824575e-05, "epoch": 1.2, "percentage": 40.18, "elapsed_time": "2:18:25", "remaining_time": "3:26:06"}
|
| 183 |
+
{"current_steps": 1830, "total_steps": 4530, "loss": 1.4241, "reward": null, "learning_rate": 3.2428026133204184e-05, "epoch": 1.21, "percentage": 40.4, "elapsed_time": "2:19:09", "remaining_time": "3:25:18"}
|
| 184 |
+
{"current_steps": 1840, "total_steps": 4530, "loss": 1.3941, "reward": null, "learning_rate": 3.226230149587063e-05, "epoch": 1.22, "percentage": 40.62, "elapsed_time": "2:19:53", "remaining_time": "3:24:31"}
|
| 185 |
+
{"current_steps": 1850, "total_steps": 4530, "loss": 1.4238, "reward": null, "learning_rate": 3.20962275768022e-05, "epoch": 1.22, "percentage": 40.84, "elapsed_time": "2:20:36", "remaining_time": "3:23:41"}
|
| 186 |
+
{"current_steps": 1860, "total_steps": 4530, "loss": 1.382, "reward": null, "learning_rate": 3.1929812363354766e-05, "epoch": 1.23, "percentage": 41.06, "elapsed_time": "2:21:17", "remaining_time": "3:22:49"}
|
| 187 |
+
{"current_steps": 1870, "total_steps": 4530, "loss": 1.4124, "reward": null, "learning_rate": 3.1763063859298845e-05, "epoch": 1.24, "percentage": 41.28, "elapsed_time": "2:22:00", "remaining_time": "3:22:00"}
|
| 188 |
+
{"current_steps": 1880, "total_steps": 4530, "loss": 1.3963, "reward": null, "learning_rate": 3.159599008443459e-05, "epoch": 1.24, "percentage": 41.5, "elapsed_time": "2:22:44", "remaining_time": "3:21:12"}
|
| 189 |
+
{"current_steps": 1890, "total_steps": 4530, "loss": 1.3542, "reward": null, "learning_rate": 3.142859907420615e-05, "epoch": 1.25, "percentage": 41.72, "elapsed_time": "2:23:27", "remaining_time": "3:20:23"}
|
| 190 |
+
{"current_steps": 1900, "total_steps": 4530, "loss": 1.3852, "reward": null, "learning_rate": 3.126089887931515e-05, "epoch": 1.26, "percentage": 41.94, "elapsed_time": "2:24:09", "remaining_time": "3:19:32"}
|
| 191 |
+
{"current_steps": 1910, "total_steps": 4530, "loss": 1.3972, "reward": null, "learning_rate": 3.109289756533349e-05, "epoch": 1.26, "percentage": 42.16, "elapsed_time": "2:25:13", "remaining_time": "3:19:13"}
|
| 192 |
+
{"current_steps": 1920, "total_steps": 4530, "loss": 1.3783, "reward": null, "learning_rate": 3.092460321231547e-05, "epoch": 1.27, "percentage": 42.38, "elapsed_time": "2:25:55", "remaining_time": "3:18:21"}
|
| 193 |
+
{"current_steps": 1930, "total_steps": 4530, "loss": 1.4122, "reward": null, "learning_rate": 3.075602391440918e-05, "epoch": 1.28, "percentage": 42.6, "elapsed_time": "2:26:40", "remaining_time": "3:17:35"}
|
| 194 |
+
{"current_steps": 1940, "total_steps": 4530, "loss": 1.4105, "reward": null, "learning_rate": 3.058716777946713e-05, "epoch": 1.28, "percentage": 42.83, "elapsed_time": "2:27:26", "remaining_time": "3:16:50"}
|
| 195 |
+
{"current_steps": 1950, "total_steps": 4530, "loss": 1.4091, "reward": null, "learning_rate": 3.0418042928656414e-05, "epoch": 1.29, "percentage": 43.05, "elapsed_time": "2:28:10", "remaining_time": "3:16:03"}
|
| 196 |
+
{"current_steps": 1960, "total_steps": 4530, "loss": 1.4067, "reward": null, "learning_rate": 3.0248657496068027e-05, "epoch": 1.3, "percentage": 43.27, "elapsed_time": "2:28:55", "remaining_time": "3:15:16"}
|
| 197 |
+
{"current_steps": 1970, "total_steps": 4530, "loss": 1.4172, "reward": null, "learning_rate": 3.0079019628325706e-05, "epoch": 1.3, "percentage": 43.49, "elapsed_time": "2:29:36", "remaining_time": "3:14:24"}
|
| 198 |
+
{"current_steps": 1980, "total_steps": 4530, "loss": 1.3803, "reward": null, "learning_rate": 2.990913748419411e-05, "epoch": 1.31, "percentage": 43.71, "elapsed_time": "2:30:19", "remaining_time": "3:13:36"}
|
| 199 |
+
{"current_steps": 1990, "total_steps": 4530, "loss": 1.4096, "reward": null, "learning_rate": 2.97390192341864e-05, "epoch": 1.32, "percentage": 43.93, "elapsed_time": "2:31:03", "remaining_time": "3:12:48"}
|
| 200 |
+
{"current_steps": 2000, "total_steps": 4530, "loss": 1.3774, "reward": null, "learning_rate": 2.9568673060171326e-05, "epoch": 1.32, "percentage": 44.15, "elapsed_time": "2:31:46", "remaining_time": "3:11:59"}
|
| 201 |
+
{"current_steps": 2010, "total_steps": 4530, "loss": 1.3729, "reward": null, "learning_rate": 2.9398107154979638e-05, "epoch": 1.33, "percentage": 44.37, "elapsed_time": "2:32:51", "remaining_time": "3:11:38"}
|
| 202 |
+
{"current_steps": 2020, "total_steps": 4530, "loss": 1.3687, "reward": null, "learning_rate": 2.922732972201014e-05, "epoch": 1.34, "percentage": 44.59, "elapsed_time": "2:33:33", "remaining_time": "3:10:49"}
|
| 203 |
+
{"current_steps": 2030, "total_steps": 4530, "loss": 1.3946, "reward": null, "learning_rate": 2.9056348974835067e-05, "epoch": 1.34, "percentage": 44.81, "elapsed_time": "2:34:17", "remaining_time": "3:10:01"}
|
| 204 |
+
{"current_steps": 2040, "total_steps": 4530, "loss": 1.3922, "reward": null, "learning_rate": 2.8885173136805127e-05, "epoch": 1.35, "percentage": 45.03, "elapsed_time": "2:35:01", "remaining_time": "3:09:12"}
|
| 205 |
+
{"current_steps": 2050, "total_steps": 4530, "loss": 1.3631, "reward": null, "learning_rate": 2.8713810440653926e-05, "epoch": 1.36, "percentage": 45.25, "elapsed_time": "2:35:45", "remaining_time": "3:08:25"}
|
| 206 |
+
{"current_steps": 2060, "total_steps": 4530, "loss": 1.4193, "reward": null, "learning_rate": 2.8542269128102063e-05, "epoch": 1.36, "percentage": 45.47, "elapsed_time": "2:36:29", "remaining_time": "3:07:37"}
|
| 207 |
+
{"current_steps": 2070, "total_steps": 4530, "loss": 1.3776, "reward": null, "learning_rate": 2.837055744946072e-05, "epoch": 1.37, "percentage": 45.7, "elapsed_time": "2:37:14", "remaining_time": "3:06:51"}
|
| 208 |
+
{"current_steps": 2080, "total_steps": 4530, "loss": 1.4099, "reward": null, "learning_rate": 2.819868366323488e-05, "epoch": 1.38, "percentage": 45.92, "elapsed_time": "2:37:56", "remaining_time": "3:06:02"}
|
| 209 |
+
{"current_steps": 2090, "total_steps": 4530, "loss": 1.41, "reward": null, "learning_rate": 2.8026656035726095e-05, "epoch": 1.38, "percentage": 46.14, "elapsed_time": "2:38:40", "remaining_time": "3:05:14"}
|
| 210 |
+
{"current_steps": 2100, "total_steps": 4530, "loss": 1.4604, "reward": null, "learning_rate": 2.7854482840634965e-05, "epoch": 1.39, "percentage": 46.36, "elapsed_time": "2:39:21", "remaining_time": "3:04:24"}
|
| 211 |
+
{"current_steps": 2110, "total_steps": 4530, "loss": 1.4485, "reward": null, "learning_rate": 2.7682172358663173e-05, "epoch": 1.4, "percentage": 46.58, "elapsed_time": "2:40:23", "remaining_time": "3:03:57"}
|
| 212 |
+
{"current_steps": 2120, "total_steps": 4530, "loss": 1.4445, "reward": null, "learning_rate": 2.7509732877115257e-05, "epoch": 1.4, "percentage": 46.8, "elapsed_time": "2:41:06", "remaining_time": "3:03:08"}
|
| 213 |
+
{"current_steps": 2130, "total_steps": 4530, "loss": 1.3889, "reward": null, "learning_rate": 2.73371726895e-05, "epoch": 1.41, "percentage": 47.02, "elapsed_time": "2:41:49", "remaining_time": "3:02:20"}
|
| 214 |
+
{"current_steps": 2140, "total_steps": 4530, "loss": 1.4167, "reward": null, "learning_rate": 2.716450009513158e-05, "epoch": 1.42, "percentage": 47.24, "elapsed_time": "2:42:32", "remaining_time": "3:01:31"}
|
| 215 |
+
{"current_steps": 2150, "total_steps": 4530, "loss": 1.3388, "reward": null, "learning_rate": 2.6991723398730383e-05, "epoch": 1.42, "percentage": 47.46, "elapsed_time": "2:43:16", "remaining_time": "3:00:44"}
|
| 216 |
+
{"current_steps": 2160, "total_steps": 4530, "loss": 1.4379, "reward": null, "learning_rate": 2.68188509100236e-05, "epoch": 1.43, "percentage": 47.68, "elapsed_time": "2:44:01", "remaining_time": "2:59:57"}
|
| 217 |
+
{"current_steps": 2170, "total_steps": 4530, "loss": 1.4119, "reward": null, "learning_rate": 2.6645890943345585e-05, "epoch": 1.44, "percentage": 47.9, "elapsed_time": "2:44:44", "remaining_time": "2:59:09"}
|
| 218 |
+
{"current_steps": 2180, "total_steps": 4530, "loss": 1.3961, "reward": null, "learning_rate": 2.6472851817237948e-05, "epoch": 1.44, "percentage": 48.12, "elapsed_time": "2:45:29", "remaining_time": "2:58:23"}
|
| 219 |
+
{"current_steps": 2190, "total_steps": 4530, "loss": 1.3999, "reward": null, "learning_rate": 2.6299741854049508e-05, "epoch": 1.45, "percentage": 48.34, "elapsed_time": "2:46:10", "remaining_time": "2:57:33"}
|
| 220 |
+
{"current_steps": 2200, "total_steps": 4530, "loss": 1.3739, "reward": null, "learning_rate": 2.6126569379535985e-05, "epoch": 1.46, "percentage": 48.57, "elapsed_time": "2:46:53", "remaining_time": "2:56:45"}
|
| 221 |
+
{"current_steps": 2210, "total_steps": 4530, "loss": 1.4256, "reward": null, "learning_rate": 2.5953342722459594e-05, "epoch": 1.46, "percentage": 48.79, "elapsed_time": "2:47:53", "remaining_time": "2:56:14"}
|
| 222 |
+
{"current_steps": 2220, "total_steps": 4530, "loss": 1.4615, "reward": null, "learning_rate": 2.5780070214188478e-05, "epoch": 1.47, "percentage": 49.01, "elapsed_time": "2:48:38", "remaining_time": "2:55:28"}
|
| 223 |
+
{"current_steps": 2230, "total_steps": 4530, "loss": 1.3877, "reward": null, "learning_rate": 2.5606760188296004e-05, "epoch": 1.48, "percentage": 49.23, "elapsed_time": "2:49:20", "remaining_time": "2:54:38"}
|
| 224 |
+
{"current_steps": 2240, "total_steps": 4530, "loss": 1.3752, "reward": null, "learning_rate": 2.5433420980159944e-05, "epoch": 1.48, "percentage": 49.45, "elapsed_time": "2:50:03", "remaining_time": "2:53:50"}
|
| 225 |
+
{"current_steps": 2250, "total_steps": 4530, "loss": 1.4084, "reward": null, "learning_rate": 2.526006092656161e-05, "epoch": 1.49, "percentage": 49.67, "elapsed_time": "2:50:45", "remaining_time": "2:53:01"}
|
| 226 |
+
{"current_steps": 2260, "total_steps": 4530, "loss": 1.3921, "reward": null, "learning_rate": 2.508668836528486e-05, "epoch": 1.5, "percentage": 49.89, "elapsed_time": "2:51:29", "remaining_time": "2:52:14"}
|
| 227 |
+
{"current_steps": 2270, "total_steps": 4530, "loss": 1.4104, "reward": null, "learning_rate": 2.491331163471514e-05, "epoch": 1.5, "percentage": 50.11, "elapsed_time": "2:52:13", "remaining_time": "2:51:28"}
|
| 228 |
+
{"current_steps": 2280, "total_steps": 4530, "loss": 1.4053, "reward": null, "learning_rate": 2.4739939073438397e-05, "epoch": 1.51, "percentage": 50.33, "elapsed_time": "2:52:59", "remaining_time": "2:50:42"}
|
| 229 |
+
{"current_steps": 2290, "total_steps": 4530, "loss": 1.381, "reward": null, "learning_rate": 2.456657901984006e-05, "epoch": 1.52, "percentage": 50.55, "elapsed_time": "2:53:45", "remaining_time": "2:49:57"}
|
| 230 |
+
{"current_steps": 2300, "total_steps": 4530, "loss": 1.3752, "reward": null, "learning_rate": 2.4393239811704e-05, "epoch": 1.52, "percentage": 50.77, "elapsed_time": "2:54:29", "remaining_time": "2:49:10"}
|
| 231 |
+
{"current_steps": 2310, "total_steps": 4530, "loss": 1.4023, "reward": null, "learning_rate": 2.4219929785811518e-05, "epoch": 1.53, "percentage": 50.99, "elapsed_time": "2:55:31", "remaining_time": "2:48:41"}
|
| 232 |
+
{"current_steps": 2320, "total_steps": 4530, "loss": 1.3642, "reward": null, "learning_rate": 2.4046657277540412e-05, "epoch": 1.54, "percentage": 51.21, "elapsed_time": "2:56:16", "remaining_time": "2:47:55"}
|
| 233 |
+
{"current_steps": 2330, "total_steps": 4530, "loss": 1.3977, "reward": null, "learning_rate": 2.3873430620464024e-05, "epoch": 1.54, "percentage": 51.43, "elapsed_time": "2:57:01", "remaining_time": "2:47:09"}
|
| 234 |
+
{"current_steps": 2340, "total_steps": 4530, "loss": 1.3905, "reward": null, "learning_rate": 2.3700258145950495e-05, "epoch": 1.55, "percentage": 51.66, "elapsed_time": "2:57:45", "remaining_time": "2:46:22"}
|
| 235 |
+
{"current_steps": 2350, "total_steps": 4530, "loss": 1.4022, "reward": null, "learning_rate": 2.3527148182762054e-05, "epoch": 1.56, "percentage": 51.88, "elapsed_time": "2:58:29", "remaining_time": "2:45:34"}
|
| 236 |
+
{"current_steps": 2360, "total_steps": 4530, "loss": 1.4162, "reward": null, "learning_rate": 2.335410905665442e-05, "epoch": 1.56, "percentage": 52.1, "elapsed_time": "2:59:10", "remaining_time": "2:44:45"}
|
| 237 |
+
{"current_steps": 2370, "total_steps": 4530, "loss": 1.3877, "reward": null, "learning_rate": 2.3181149089976405e-05, "epoch": 1.57, "percentage": 52.32, "elapsed_time": "2:59:55", "remaining_time": "2:43:58"}
|
| 238 |
+
{"current_steps": 2380, "total_steps": 4530, "loss": 1.3704, "reward": null, "learning_rate": 2.3008276601269623e-05, "epoch": 1.58, "percentage": 52.54, "elapsed_time": "3:00:41", "remaining_time": "2:43:14"}
|
| 239 |
+
{"current_steps": 2390, "total_steps": 4530, "loss": 1.3725, "reward": null, "learning_rate": 2.283549990486842e-05, "epoch": 1.58, "percentage": 52.76, "elapsed_time": "3:01:26", "remaining_time": "2:42:28"}
|
| 240 |
+
{"current_steps": 2400, "total_steps": 4530, "loss": 1.4232, "reward": null, "learning_rate": 2.2662827310499995e-05, "epoch": 1.59, "percentage": 52.98, "elapsed_time": "3:02:10", "remaining_time": "2:41:41"}
|
| 241 |
+
{"current_steps": 2410, "total_steps": 4530, "loss": 1.3916, "reward": null, "learning_rate": 2.249026712288474e-05, "epoch": 1.6, "percentage": 53.2, "elapsed_time": "3:03:15", "remaining_time": "2:41:12"}
|
| 242 |
+
{"current_steps": 2420, "total_steps": 4530, "loss": 1.384, "reward": null, "learning_rate": 2.2317827641336833e-05, "epoch": 1.6, "percentage": 53.42, "elapsed_time": "3:03:59", "remaining_time": "2:40:25"}
|
| 243 |
+
{"current_steps": 2430, "total_steps": 4530, "loss": 1.3969, "reward": null, "learning_rate": 2.2145517159365044e-05, "epoch": 1.61, "percentage": 53.64, "elapsed_time": "3:04:44", "remaining_time": "2:39:39"}
|
| 244 |
+
{"current_steps": 2440, "total_steps": 4530, "loss": 1.3742, "reward": null, "learning_rate": 2.197334396427391e-05, "epoch": 1.62, "percentage": 53.86, "elapsed_time": "3:05:26", "remaining_time": "2:38:50"}
|
| 245 |
+
{"current_steps": 2450, "total_steps": 4530, "loss": 1.3901, "reward": null, "learning_rate": 2.1801316336765126e-05, "epoch": 1.62, "percentage": 54.08, "elapsed_time": "3:06:08", "remaining_time": "2:38:02"}
|
| 246 |
+
{"current_steps": 2460, "total_steps": 4530, "loss": 1.3853, "reward": null, "learning_rate": 2.162944255053928e-05, "epoch": 1.63, "percentage": 54.3, "elapsed_time": "3:06:52", "remaining_time": "2:37:14"}
|
| 247 |
+
{"current_steps": 2470, "total_steps": 4530, "loss": 1.3709, "reward": null, "learning_rate": 2.145773087189794e-05, "epoch": 1.64, "percentage": 54.53, "elapsed_time": "3:07:36", "remaining_time": "2:36:27"}
|
| 248 |
+
{"current_steps": 2480, "total_steps": 4530, "loss": 1.3758, "reward": null, "learning_rate": 2.128618955934608e-05, "epoch": 1.64, "percentage": 54.75, "elapsed_time": "3:08:19", "remaining_time": "2:35:40"}
|
| 249 |
+
{"current_steps": 2490, "total_steps": 4530, "loss": 1.3561, "reward": null, "learning_rate": 2.1114826863194882e-05, "epoch": 1.65, "percentage": 54.97, "elapsed_time": "3:09:04", "remaining_time": "2:34:54"}
|
| 250 |
+
{"current_steps": 2500, "total_steps": 4530, "loss": 1.3774, "reward": null, "learning_rate": 2.0943651025164932e-05, "epoch": 1.66, "percentage": 55.19, "elapsed_time": "3:09:48", "remaining_time": "2:34:07"}
|
| 251 |
+
{"current_steps": 2510, "total_steps": 4530, "loss": 1.3961, "reward": null, "learning_rate": 2.0772670277989864e-05, "epoch": 1.66, "percentage": 55.41, "elapsed_time": "3:10:52", "remaining_time": "2:33:36"}
|
| 252 |
+
{"current_steps": 2520, "total_steps": 4530, "loss": 1.3794, "reward": null, "learning_rate": 2.060189284502037e-05, "epoch": 1.67, "percentage": 55.63, "elapsed_time": "3:11:35", "remaining_time": "2:32:49"}
|
| 253 |
+
{"current_steps": 2530, "total_steps": 4530, "loss": 1.4147, "reward": null, "learning_rate": 2.0431326939828686e-05, "epoch": 1.68, "percentage": 55.85, "elapsed_time": "3:12:17", "remaining_time": "2:32:00"}
|
| 254 |
+
{"current_steps": 2540, "total_steps": 4530, "loss": 1.4336, "reward": null, "learning_rate": 2.0260980765813604e-05, "epoch": 1.68, "percentage": 56.07, "elapsed_time": "3:13:00", "remaining_time": "2:31:13"}
|
| 255 |
+
{"current_steps": 2550, "total_steps": 4530, "loss": 1.4228, "reward": null, "learning_rate": 2.0090862515805898e-05, "epoch": 1.69, "percentage": 56.29, "elapsed_time": "3:13:45", "remaining_time": "2:30:26"}
|
| 256 |
+
{"current_steps": 2560, "total_steps": 4530, "loss": 1.4188, "reward": null, "learning_rate": 1.99209803716743e-05, "epoch": 1.69, "percentage": 56.51, "elapsed_time": "3:14:26", "remaining_time": "2:29:37"}
|
| 257 |
+
{"current_steps": 2570, "total_steps": 4530, "loss": 1.4492, "reward": null, "learning_rate": 1.975134250393198e-05, "epoch": 1.7, "percentage": 56.73, "elapsed_time": "3:15:10", "remaining_time": "2:28:50"}
|
| 258 |
+
{"current_steps": 2580, "total_steps": 4530, "loss": 1.4492, "reward": null, "learning_rate": 1.9581957071343592e-05, "epoch": 1.71, "percentage": 56.95, "elapsed_time": "3:15:51", "remaining_time": "2:28:02"}
|
| 259 |
+
{"current_steps": 2590, "total_steps": 4530, "loss": 1.4261, "reward": null, "learning_rate": 1.9412832220532867e-05, "epoch": 1.71, "percentage": 57.17, "elapsed_time": "3:16:32", "remaining_time": "2:27:13"}
|
| 260 |
+
{"current_steps": 2600, "total_steps": 4530, "loss": 1.412, "reward": null, "learning_rate": 1.9243976085590824e-05, "epoch": 1.72, "percentage": 57.4, "elapsed_time": "3:17:14", "remaining_time": "2:26:25"}
|
| 261 |
+
{"current_steps": 2610, "total_steps": 4530, "loss": 1.3858, "reward": null, "learning_rate": 1.9075396787684533e-05, "epoch": 1.73, "percentage": 57.62, "elapsed_time": "3:18:17", "remaining_time": "2:25:51"}
|
| 262 |
+
{"current_steps": 2620, "total_steps": 4530, "loss": 1.3648, "reward": null, "learning_rate": 1.8907102434666523e-05, "epoch": 1.73, "percentage": 57.84, "elapsed_time": "3:19:00", "remaining_time": "2:25:04"}
|
| 263 |
+
{"current_steps": 2630, "total_steps": 4530, "loss": 1.4267, "reward": null, "learning_rate": 1.8739101120684866e-05, "epoch": 1.74, "percentage": 58.06, "elapsed_time": "3:19:40", "remaining_time": "2:24:15"}
|
| 264 |
+
{"current_steps": 2640, "total_steps": 4530, "loss": 1.4115, "reward": null, "learning_rate": 1.8571400925793855e-05, "epoch": 1.75, "percentage": 58.28, "elapsed_time": "3:20:23", "remaining_time": "2:23:27"}
|
| 265 |
+
{"current_steps": 2650, "total_steps": 4530, "loss": 1.3767, "reward": null, "learning_rate": 1.840400991556541e-05, "epoch": 1.75, "percentage": 58.5, "elapsed_time": "3:21:07", "remaining_time": "2:22:41"}
|
| 266 |
+
{"current_steps": 2660, "total_steps": 4530, "loss": 1.3934, "reward": null, "learning_rate": 1.8236936140701165e-05, "epoch": 1.76, "percentage": 58.72, "elapsed_time": "3:21:53", "remaining_time": "2:21:56"}
|
| 267 |
+
{"current_steps": 2670, "total_steps": 4530, "loss": 1.368, "reward": null, "learning_rate": 1.807018763664524e-05, "epoch": 1.77, "percentage": 58.94, "elapsed_time": "3:22:39", "remaining_time": "2:21:10"}
|
| 268 |
+
{"current_steps": 2680, "total_steps": 4530, "loss": 1.3925, "reward": null, "learning_rate": 1.7903772423197806e-05, "epoch": 1.77, "percentage": 59.16, "elapsed_time": "3:23:20", "remaining_time": "2:20:22"}
|
| 269 |
+
{"current_steps": 2690, "total_steps": 4530, "loss": 1.3786, "reward": null, "learning_rate": 1.773769850412937e-05, "epoch": 1.78, "percentage": 59.38, "elapsed_time": "3:24:04", "remaining_time": "2:19:35"}
|
| 270 |
+
{"current_steps": 2700, "total_steps": 4530, "loss": 1.4204, "reward": null, "learning_rate": 1.7571973866795815e-05, "epoch": 1.79, "percentage": 59.6, "elapsed_time": "3:24:46", "remaining_time": "2:18:47"}
|
| 271 |
+
{"current_steps": 2710, "total_steps": 4530, "loss": 1.3907, "reward": null, "learning_rate": 1.7406606481754258e-05, "epoch": 1.79, "percentage": 59.82, "elapsed_time": "3:25:52", "remaining_time": "2:18:15"}
|
| 272 |
+
{"current_steps": 2720, "total_steps": 4530, "loss": 1.3598, "reward": null, "learning_rate": 1.724160430237967e-05, "epoch": 1.8, "percentage": 60.04, "elapsed_time": "3:26:39", "remaining_time": "2:17:31"}
|
| 273 |
+
{"current_steps": 2730, "total_steps": 4530, "loss": 1.4157, "reward": null, "learning_rate": 1.7076975264482434e-05, "epoch": 1.81, "percentage": 60.26, "elapsed_time": "3:27:20", "remaining_time": "2:16:42"}
|
| 274 |
+
{"current_steps": 2740, "total_steps": 4530, "loss": 1.3922, "reward": null, "learning_rate": 1.6912727285926605e-05, "epoch": 1.81, "percentage": 60.49, "elapsed_time": "3:28:04", "remaining_time": "2:15:55"}
|
| 275 |
+
{"current_steps": 2750, "total_steps": 4530, "loss": 1.4413, "reward": null, "learning_rate": 1.6748868266249114e-05, "epoch": 1.82, "percentage": 60.71, "elapsed_time": "3:28:47", "remaining_time": "2:15:08"}
|
| 276 |
+
{"current_steps": 2760, "total_steps": 4530, "loss": 1.4219, "reward": null, "learning_rate": 1.658540608627985e-05, "epoch": 1.83, "percentage": 60.93, "elapsed_time": "3:29:30", "remaining_time": "2:14:21"}
|
| 277 |
+
{"current_steps": 2770, "total_steps": 4530, "loss": 1.3447, "reward": null, "learning_rate": 1.642234860776261e-05, "epoch": 1.83, "percentage": 61.15, "elapsed_time": "3:30:13", "remaining_time": "2:13:34"}
|
| 278 |
+
{"current_steps": 2780, "total_steps": 4530, "loss": 1.4383, "reward": null, "learning_rate": 1.6259703672977022e-05, "epoch": 1.84, "percentage": 61.37, "elapsed_time": "3:30:55", "remaining_time": "2:12:46"}
|
| 279 |
+
{"current_steps": 2790, "total_steps": 4530, "loss": 1.3562, "reward": null, "learning_rate": 1.6097479104361326e-05, "epoch": 1.85, "percentage": 61.59, "elapsed_time": "3:31:39", "remaining_time": "2:12:00"}
|
| 280 |
+
{"current_steps": 2800, "total_steps": 4530, "loss": 1.3865, "reward": null, "learning_rate": 1.5935682704136183e-05, "epoch": 1.85, "percentage": 61.81, "elapsed_time": "3:32:23", "remaining_time": "2:11:13"}
|
| 281 |
+
{"current_steps": 2810, "total_steps": 4530, "loss": 1.3875, "reward": null, "learning_rate": 1.5774322253929425e-05, "epoch": 1.86, "percentage": 62.03, "elapsed_time": "3:33:27", "remaining_time": "2:10:39"}
|
| 282 |
+
{"current_steps": 2820, "total_steps": 4530, "loss": 1.4282, "reward": null, "learning_rate": 1.561340551440176e-05, "epoch": 1.87, "percentage": 62.25, "elapsed_time": "3:34:09", "remaining_time": "2:09:51"}
|
| 283 |
+
{"current_steps": 2830, "total_steps": 4530, "loss": 1.401, "reward": null, "learning_rate": 1.5452940224873568e-05, "epoch": 1.87, "percentage": 62.47, "elapsed_time": "3:34:51", "remaining_time": "2:09:04"}
|
| 284 |
+
{"current_steps": 2840, "total_steps": 4530, "loss": 1.3645, "reward": null, "learning_rate": 1.529293410295266e-05, "epoch": 1.88, "percentage": 62.69, "elapsed_time": "3:35:37", "remaining_time": "2:08:18"}
|
| 285 |
+
{"current_steps": 2850, "total_steps": 4530, "loss": 1.3877, "reward": null, "learning_rate": 1.5133394844163093e-05, "epoch": 1.89, "percentage": 62.91, "elapsed_time": "3:36:19", "remaining_time": "2:07:30"}
|
| 286 |
+
{"current_steps": 2860, "total_steps": 4530, "loss": 1.4026, "reward": null, "learning_rate": 1.4974330121575048e-05, "epoch": 1.89, "percentage": 63.13, "elapsed_time": "3:37:03", "remaining_time": "2:06:44"}
|
| 287 |
+
{"current_steps": 2870, "total_steps": 4530, "loss": 1.4235, "reward": null, "learning_rate": 1.4815747585435801e-05, "epoch": 1.9, "percentage": 63.36, "elapsed_time": "3:37:42", "remaining_time": "2:05:55"}
|
| 288 |
+
{"current_steps": 2880, "total_steps": 4530, "loss": 1.3623, "reward": null, "learning_rate": 1.4657654862801798e-05, "epoch": 1.91, "percentage": 63.58, "elapsed_time": "3:38:23", "remaining_time": "2:05:07"}
|
| 289 |
+
{"current_steps": 2890, "total_steps": 4530, "loss": 1.3823, "reward": null, "learning_rate": 1.4500059557171791e-05, "epoch": 1.91, "percentage": 63.8, "elapsed_time": "3:39:07", "remaining_time": "2:04:20"}
|
| 290 |
+
{"current_steps": 2900, "total_steps": 4530, "loss": 1.3717, "reward": null, "learning_rate": 1.4342969248121185e-05, "epoch": 1.92, "percentage": 64.02, "elapsed_time": "3:39:51", "remaining_time": "2:03:34"}
|
| 291 |
+
{"current_steps": 2910, "total_steps": 4530, "loss": 1.434, "reward": null, "learning_rate": 1.4186391490937481e-05, "epoch": 1.93, "percentage": 64.24, "elapsed_time": "3:40:52", "remaining_time": "2:02:57"}
|
| 292 |
+
{"current_steps": 2920, "total_steps": 4530, "loss": 1.3688, "reward": null, "learning_rate": 1.403033381625688e-05, "epoch": 1.93, "percentage": 64.46, "elapsed_time": "3:41:34", "remaining_time": "2:02:10"}
|
| 293 |
+
{"current_steps": 2930, "total_steps": 4530, "loss": 1.3404, "reward": null, "learning_rate": 1.3874803729702141e-05, "epoch": 1.94, "percentage": 64.68, "elapsed_time": "3:42:21", "remaining_time": "2:01:25"}
|
| 294 |
+
{"current_steps": 2940, "total_steps": 4530, "loss": 1.3956, "reward": null, "learning_rate": 1.3719808711521573e-05, "epoch": 1.95, "percentage": 64.9, "elapsed_time": "3:43:04", "remaining_time": "2:00:38"}
|
| 295 |
+
{"current_steps": 2950, "total_steps": 4530, "loss": 1.366, "reward": null, "learning_rate": 1.3565356216229268e-05, "epoch": 1.95, "percentage": 65.12, "elapsed_time": "3:43:50", "remaining_time": "1:59:53"}
|
| 296 |
+
{"current_steps": 2960, "total_steps": 4530, "loss": 1.4425, "reward": null, "learning_rate": 1.341145367224657e-05, "epoch": 1.96, "percentage": 65.34, "elapsed_time": "3:44:32", "remaining_time": "1:59:06"}
|
| 297 |
+
{"current_steps": 2970, "total_steps": 4530, "loss": 1.3728, "reward": null, "learning_rate": 1.3258108481544849e-05, "epoch": 1.97, "percentage": 65.56, "elapsed_time": "3:45:17", "remaining_time": "1:58:20"}
|
| 298 |
+
{"current_steps": 2980, "total_steps": 4530, "loss": 1.4581, "reward": null, "learning_rate": 1.310532801928942e-05, "epoch": 1.97, "percentage": 65.78, "elapsed_time": "3:45:59", "remaining_time": "1:57:32"}
|
| 299 |
+
{"current_steps": 2990, "total_steps": 4530, "loss": 1.3678, "reward": null, "learning_rate": 1.2953119633484903e-05, "epoch": 1.98, "percentage": 66.0, "elapsed_time": "3:46:42", "remaining_time": "1:56:46"}
|
| 300 |
+
{"current_steps": 3000, "total_steps": 4530, "loss": 1.4091, "reward": null, "learning_rate": 1.2801490644621789e-05, "epoch": 1.99, "percentage": 66.23, "elapsed_time": "3:47:26", "remaining_time": "1:55:59"}
|
| 301 |
+
{"current_steps": 3010, "total_steps": 4530, "loss": 1.3642, "reward": null, "learning_rate": 1.2650448345324384e-05, "epoch": 1.99, "percentage": 66.45, "elapsed_time": "3:48:27", "remaining_time": "1:55:21"}
|
| 302 |
+
{"current_steps": 3020, "total_steps": 4530, "loss": 1.3949, "reward": null, "learning_rate": 1.2500000000000006e-05, "epoch": 2.0, "percentage": 66.67, "elapsed_time": "3:49:12", "remaining_time": "1:54:36"}
|
| 303 |
+
{"current_steps": 3030, "total_steps": 4530, "loss": 1.3507, "reward": null, "learning_rate": 1.235015284448969e-05, "epoch": 2.01, "percentage": 66.89, "elapsed_time": "3:49:55", "remaining_time": "1:53:49"}
|
| 304 |
+
{"current_steps": 3040, "total_steps": 4530, "loss": 1.3553, "reward": null, "learning_rate": 1.2200914085720119e-05, "epoch": 2.01, "percentage": 67.11, "elapsed_time": "3:50:39", "remaining_time": "1:53:03"}
|
| 305 |
+
{"current_steps": 3050, "total_steps": 4530, "loss": 1.4108, "reward": null, "learning_rate": 1.2052290901357025e-05, "epoch": 2.02, "percentage": 67.33, "elapsed_time": "3:51:21", "remaining_time": "1:52:16"}
|
| 306 |
+
{"current_steps": 3060, "total_steps": 4530, "loss": 1.3549, "reward": null, "learning_rate": 1.1904290439459973e-05, "epoch": 2.03, "percentage": 67.55, "elapsed_time": "3:52:05", "remaining_time": "1:51:29"}
|
| 307 |
+
{"current_steps": 3070, "total_steps": 4530, "loss": 1.3371, "reward": null, "learning_rate": 1.175691981813858e-05, "epoch": 2.03, "percentage": 67.77, "elapsed_time": "3:52:51", "remaining_time": "1:50:44"}
|
| 308 |
+
{"current_steps": 3080, "total_steps": 4530, "loss": 1.3775, "reward": null, "learning_rate": 1.1610186125210151e-05, "epoch": 2.04, "percentage": 67.99, "elapsed_time": "3:53:33", "remaining_time": "1:49:57"}
|
| 309 |
+
{"current_steps": 3090, "total_steps": 4530, "loss": 1.3884, "reward": null, "learning_rate": 1.1464096417858822e-05, "epoch": 2.05, "percentage": 68.21, "elapsed_time": "3:54:18", "remaining_time": "1:49:11"}
|
| 310 |
+
{"current_steps": 3100, "total_steps": 4530, "loss": 1.3516, "reward": null, "learning_rate": 1.1318657722296097e-05, "epoch": 2.05, "percentage": 68.43, "elapsed_time": "3:54:59", "remaining_time": "1:48:24"}
|
| 311 |
+
{"current_steps": 3110, "total_steps": 4530, "loss": 1.405, "reward": null, "learning_rate": 1.1173877033422994e-05, "epoch": 2.06, "percentage": 68.65, "elapsed_time": "3:56:02", "remaining_time": "1:47:46"}
|
| 312 |
+
{"current_steps": 3120, "total_steps": 4530, "loss": 1.3909, "reward": null, "learning_rate": 1.102976131449352e-05, "epoch": 2.07, "percentage": 68.87, "elapsed_time": "3:56:44", "remaining_time": "1:46:59"}
|
| 313 |
+
{"current_steps": 3130, "total_steps": 4530, "loss": 1.4057, "reward": null, "learning_rate": 1.0886317496779863e-05, "epoch": 2.07, "percentage": 69.09, "elapsed_time": "3:57:27", "remaining_time": "1:46:12"}
|
| 314 |
+
{"current_steps": 3140, "total_steps": 4530, "loss": 1.3807, "reward": null, "learning_rate": 1.0743552479238994e-05, "epoch": 2.08, "percentage": 69.32, "elapsed_time": "3:58:11", "remaining_time": "1:45:26"}
|
| 315 |
+
{"current_steps": 3150, "total_steps": 4530, "loss": 1.3804, "reward": null, "learning_rate": 1.0601473128180855e-05, "epoch": 2.09, "percentage": 69.54, "elapsed_time": "3:58:55", "remaining_time": "1:44:40"}
|
| 316 |
+
{"current_steps": 3160, "total_steps": 4530, "loss": 1.3368, "reward": null, "learning_rate": 1.0460086276938144e-05, "epoch": 2.09, "percentage": 69.76, "elapsed_time": "3:59:38", "remaining_time": "1:43:53"}
|
| 317 |
+
{"current_steps": 3170, "total_steps": 4530, "loss": 1.3465, "reward": null, "learning_rate": 1.0319398725537644e-05, "epoch": 2.1, "percentage": 69.98, "elapsed_time": "4:00:22", "remaining_time": "1:43:07"}
|
| 318 |
+
{"current_steps": 3180, "total_steps": 4530, "loss": 1.3716, "reward": null, "learning_rate": 1.0179417240373183e-05, "epoch": 2.11, "percentage": 70.2, "elapsed_time": "4:01:04", "remaining_time": "1:42:20"}
|
| 319 |
+
{"current_steps": 3190, "total_steps": 4530, "loss": 1.3833, "reward": null, "learning_rate": 1.0040148553880205e-05, "epoch": 2.11, "percentage": 70.42, "elapsed_time": "4:01:47", "remaining_time": "1:41:33"}
|
| 320 |
+
{"current_steps": 3200, "total_steps": 4530, "loss": 1.3893, "reward": null, "learning_rate": 9.90159936421197e-06, "epoch": 2.12, "percentage": 70.64, "elapsed_time": "4:02:29", "remaining_time": "1:40:47"}
|
| 321 |
+
{"current_steps": 3210, "total_steps": 4530, "loss": 1.4088, "reward": null, "learning_rate": 9.763776334917399e-06, "epoch": 2.13, "percentage": 70.86, "elapsed_time": "4:03:32", "remaining_time": "1:40:08"}
|
| 322 |
+
{"current_steps": 3220, "total_steps": 4530, "loss": 1.402, "reward": null, "learning_rate": 9.626686094620608e-06, "epoch": 2.13, "percentage": 71.08, "elapsed_time": "4:04:14", "remaining_time": "1:39:21"}
|
| 323 |
+
{"current_steps": 3230, "total_steps": 4530, "loss": 1.3151, "reward": null, "learning_rate": 9.490335236702075e-06, "epoch": 2.14, "percentage": 71.3, "elapsed_time": "4:04:57", "remaining_time": "1:38:35"}
|
| 324 |
+
{"current_steps": 3240, "total_steps": 4530, "loss": 1.4126, "reward": null, "learning_rate": 9.354730318981562e-06, "epoch": 2.15, "percentage": 71.52, "elapsed_time": "4:05:40", "remaining_time": "1:37:48"}
|
| 325 |
+
{"current_steps": 3250, "total_steps": 4530, "loss": 1.431, "reward": null, "learning_rate": 9.219877863402682e-06, "epoch": 2.15, "percentage": 71.74, "elapsed_time": "4:06:23", "remaining_time": "1:37:02"}
|
| 326 |
+
{"current_steps": 3260, "total_steps": 4530, "loss": 1.3843, "reward": null, "learning_rate": 9.085784355719257e-06, "epoch": 2.16, "percentage": 71.96, "elapsed_time": "4:07:06", "remaining_time": "1:36:15"}
|
| 327 |
+
{"current_steps": 3270, "total_steps": 4530, "loss": 1.3513, "reward": null, "learning_rate": 8.95245624518336e-06, "epoch": 2.17, "percentage": 72.19, "elapsed_time": "4:07:51", "remaining_time": "1:35:30"}
|
| 328 |
+
{"current_steps": 3280, "total_steps": 4530, "loss": 1.362, "reward": null, "learning_rate": 8.819899944235152e-06, "epoch": 2.17, "percentage": 72.41, "elapsed_time": "4:08:35", "remaining_time": "1:34:44"}
|
| 329 |
+
{"current_steps": 3290, "total_steps": 4530, "loss": 1.3979, "reward": null, "learning_rate": 8.688121828194462e-06, "epoch": 2.18, "percentage": 72.63, "elapsed_time": "4:09:17", "remaining_time": "1:33:57"}
|
| 330 |
+
{"current_steps": 3300, "total_steps": 4530, "loss": 1.3949, "reward": null, "learning_rate": 8.55712823495419e-06, "epoch": 2.18, "percentage": 72.85, "elapsed_time": "4:10:01", "remaining_time": "1:33:11"}
|
| 331 |
+
{"current_steps": 3310, "total_steps": 4530, "loss": 1.3912, "reward": null, "learning_rate": 8.426925464675433e-06, "epoch": 2.19, "percentage": 73.07, "elapsed_time": "4:11:04", "remaining_time": "1:32:32"}
|
| 332 |
+
{"current_steps": 3320, "total_steps": 4530, "loss": 1.35, "reward": null, "learning_rate": 8.297519779484541e-06, "epoch": 2.2, "percentage": 73.29, "elapsed_time": "4:11:47", "remaining_time": "1:31:45"}
|
| 333 |
+
{"current_steps": 3330, "total_steps": 4530, "loss": 1.3528, "reward": null, "learning_rate": 8.168917403171891e-06, "epoch": 2.2, "percentage": 73.51, "elapsed_time": "4:12:33", "remaining_time": "1:31:00"}
|
| 334 |
+
{"current_steps": 3340, "total_steps": 4530, "loss": 1.3743, "reward": null, "learning_rate": 8.041124520892598e-06, "epoch": 2.21, "percentage": 73.73, "elapsed_time": "4:13:19", "remaining_time": "1:30:15"}
|
| 335 |
+
{"current_steps": 3350, "total_steps": 4530, "loss": 1.3708, "reward": null, "learning_rate": 7.91414727886898e-06, "epoch": 2.22, "percentage": 73.95, "elapsed_time": "4:14:05", "remaining_time": "1:29:30"}
|
| 336 |
+
{"current_steps": 3360, "total_steps": 4530, "loss": 1.4525, "reward": null, "learning_rate": 7.787991784095e-06, "epoch": 2.22, "percentage": 74.17, "elapsed_time": "4:14:46", "remaining_time": "1:28:43"}
|
| 337 |
+
{"current_steps": 3370, "total_steps": 4530, "loss": 1.3708, "reward": null, "learning_rate": 7.662664104042538e-06, "epoch": 2.23, "percentage": 74.39, "elapsed_time": "4:15:29", "remaining_time": "1:27:56"}
|
| 338 |
+
{"current_steps": 3380, "total_steps": 4530, "loss": 1.3871, "reward": null, "learning_rate": 7.538170266369563e-06, "epoch": 2.24, "percentage": 74.61, "elapsed_time": "4:16:13", "remaining_time": "1:27:10"}
|
| 339 |
+
{"current_steps": 3390, "total_steps": 4530, "loss": 1.3853, "reward": null, "learning_rate": 7.414516258630244e-06, "epoch": 2.24, "percentage": 74.83, "elapsed_time": "4:16:55", "remaining_time": "1:26:24"}
|
| 340 |
+
{"current_steps": 3400, "total_steps": 4530, "loss": 1.3861, "reward": null, "learning_rate": 7.291708027986988e-06, "epoch": 2.25, "percentage": 75.06, "elapsed_time": "4:17:38", "remaining_time": "1:25:37"}
|
| 341 |
+
{"current_steps": 3410, "total_steps": 4530, "loss": 1.3738, "reward": null, "learning_rate": 7.169751480924361e-06, "epoch": 2.26, "percentage": 75.28, "elapsed_time": "4:18:41", "remaining_time": "1:24:58"}
|
| 342 |
+
{"current_steps": 3420, "total_steps": 4530, "loss": 1.3908, "reward": null, "learning_rate": 7.048652482965079e-06, "epoch": 2.26, "percentage": 75.5, "elapsed_time": "4:19:23", "remaining_time": "1:24:11"}
|
| 343 |
+
{"current_steps": 3430, "total_steps": 4530, "loss": 1.3652, "reward": null, "learning_rate": 6.928416858387874e-06, "epoch": 2.27, "percentage": 75.72, "elapsed_time": "4:20:09", "remaining_time": "1:23:26"}
|
| 344 |
+
{"current_steps": 3440, "total_steps": 4530, "loss": 1.3673, "reward": null, "learning_rate": 6.809050389947363e-06, "epoch": 2.28, "percentage": 75.94, "elapsed_time": "4:20:54", "remaining_time": "1:22:40"}
|
| 345 |
+
{"current_steps": 3450, "total_steps": 4530, "loss": 1.395, "reward": null, "learning_rate": 6.690558818595943e-06, "epoch": 2.28, "percentage": 76.16, "elapsed_time": "4:21:39", "remaining_time": "1:21:54"}
|
| 346 |
+
{"current_steps": 3460, "total_steps": 4530, "loss": 1.3734, "reward": null, "learning_rate": 6.5729478432076775e-06, "epoch": 2.29, "percentage": 76.38, "elapsed_time": "4:22:23", "remaining_time": "1:21:08"}
|
| 347 |
+
{"current_steps": 3470, "total_steps": 4530, "loss": 1.4366, "reward": null, "learning_rate": 6.456223120304192e-06, "epoch": 2.3, "percentage": 76.6, "elapsed_time": "4:23:02", "remaining_time": "1:20:21"}
|
| 348 |
+
{"current_steps": 3480, "total_steps": 4530, "loss": 1.4222, "reward": null, "learning_rate": 6.340390263782655e-06, "epoch": 2.3, "percentage": 76.82, "elapsed_time": "4:23:43", "remaining_time": "1:19:34"}
|
| 349 |
+
{"current_steps": 3490, "total_steps": 4530, "loss": 1.3545, "reward": null, "learning_rate": 6.22545484464574e-06, "epoch": 2.31, "percentage": 77.04, "elapsed_time": "4:24:29", "remaining_time": "1:18:49"}
|
| 350 |
+
{"current_steps": 3500, "total_steps": 4530, "loss": 1.3581, "reward": null, "learning_rate": 6.111422390733715e-06, "epoch": 2.32, "percentage": 77.26, "elapsed_time": "4:25:13", "remaining_time": "1:18:02"}
|
| 351 |
+
{"current_steps": 3510, "total_steps": 4530, "loss": 1.4052, "reward": null, "learning_rate": 5.998298386458545e-06, "epoch": 2.32, "percentage": 77.48, "elapsed_time": "4:26:17", "remaining_time": "1:17:23"}
|
| 352 |
+
{"current_steps": 3520, "total_steps": 4530, "loss": 1.3886, "reward": null, "learning_rate": 5.8860882725401665e-06, "epoch": 2.33, "percentage": 77.7, "elapsed_time": "4:27:02", "remaining_time": "1:16:37"}
|
| 353 |
+
{"current_steps": 3530, "total_steps": 4530, "loss": 1.3818, "reward": null, "learning_rate": 5.774797445744781e-06, "epoch": 2.34, "percentage": 77.92, "elapsed_time": "4:27:45", "remaining_time": "1:15:51"}
|
| 354 |
+
{"current_steps": 3540, "total_steps": 4530, "loss": 1.3817, "reward": null, "learning_rate": 5.664431258625305e-06, "epoch": 2.34, "percentage": 78.15, "elapsed_time": "4:28:25", "remaining_time": "1:15:04"}
|
| 355 |
+
{"current_steps": 3550, "total_steps": 4530, "loss": 1.3617, "reward": null, "learning_rate": 5.55499501926394e-06, "epoch": 2.35, "percentage": 78.37, "elapsed_time": "4:29:09", "remaining_time": "1:14:18"}
|
| 356 |
+
{"current_steps": 3560, "total_steps": 4530, "loss": 1.3768, "reward": null, "learning_rate": 5.446493991016879e-06, "epoch": 2.36, "percentage": 78.59, "elapsed_time": "4:29:50", "remaining_time": "1:13:31"}
|
| 357 |
+
{"current_steps": 3570, "total_steps": 4530, "loss": 1.3755, "reward": null, "learning_rate": 5.338933392261159e-06, "epoch": 2.36, "percentage": 78.81, "elapsed_time": "4:30:35", "remaining_time": "1:12:45"}
|
| 358 |
+
{"current_steps": 3580, "total_steps": 4530, "loss": 1.3823, "reward": null, "learning_rate": 5.23231839614369e-06, "epoch": 2.37, "percentage": 79.03, "elapsed_time": "4:31:20", "remaining_time": "1:12:00"}
|
| 359 |
+
{"current_steps": 3590, "total_steps": 4530, "loss": 1.3883, "reward": null, "learning_rate": 5.126654130332451e-06, "epoch": 2.38, "percentage": 79.25, "elapsed_time": "4:32:02", "remaining_time": "1:11:13"}
|
| 360 |
+
{"current_steps": 3600, "total_steps": 4530, "loss": 1.3988, "reward": null, "learning_rate": 5.02194567676986e-06, "epoch": 2.38, "percentage": 79.47, "elapsed_time": "4:32:44", "remaining_time": "1:10:27"}
|
| 361 |
+
{"current_steps": 3610, "total_steps": 4530, "loss": 1.3838, "reward": null, "learning_rate": 4.918198071428382e-06, "epoch": 2.39, "percentage": 79.69, "elapsed_time": "4:33:48", "remaining_time": "1:09:46"}
|
| 362 |
+
{"current_steps": 3620, "total_steps": 4530, "loss": 1.4422, "reward": null, "learning_rate": 4.815416304068298e-06, "epoch": 2.4, "percentage": 79.91, "elapsed_time": "4:34:36", "remaining_time": "1:09:01"}
|
| 363 |
+
{"current_steps": 3630, "total_steps": 4530, "loss": 1.3834, "reward": null, "learning_rate": 4.713605317997741e-06, "epoch": 2.4, "percentage": 80.13, "elapsed_time": "4:35:20", "remaining_time": "1:08:15"}
|
| 364 |
+
{"current_steps": 3640, "total_steps": 4530, "loss": 1.3743, "reward": null, "learning_rate": 4.61277000983493e-06, "epoch": 2.41, "percentage": 80.35, "elapsed_time": "4:36:00", "remaining_time": "1:07:29"}
|
| 365 |
+
{"current_steps": 3650, "total_steps": 4530, "loss": 1.451, "reward": null, "learning_rate": 4.51291522927268e-06, "epoch": 2.42, "percentage": 80.57, "elapsed_time": "4:36:40", "remaining_time": "1:06:42"}
|
| 366 |
+
{"current_steps": 3660, "total_steps": 4530, "loss": 1.3644, "reward": null, "learning_rate": 4.414045778845144e-06, "epoch": 2.42, "percentage": 80.79, "elapsed_time": "4:37:22", "remaining_time": "1:05:56"}
|
| 367 |
+
{"current_steps": 3670, "total_steps": 4530, "loss": 1.3944, "reward": null, "learning_rate": 4.316166413696851e-06, "epoch": 2.43, "percentage": 81.02, "elapsed_time": "4:38:05", "remaining_time": "1:05:09"}
|
| 368 |
+
{"current_steps": 3680, "total_steps": 4530, "loss": 1.3514, "reward": null, "learning_rate": 4.219281841353981e-06, "epoch": 2.44, "percentage": 81.24, "elapsed_time": "4:38:47", "remaining_time": "1:04:23"}
|
| 369 |
+
{"current_steps": 3690, "total_steps": 4530, "loss": 1.3389, "reward": null, "learning_rate": 4.123396721497977e-06, "epoch": 2.44, "percentage": 81.46, "elapsed_time": "4:39:30", "remaining_time": "1:03:37"}
|
| 370 |
+
{"current_steps": 3700, "total_steps": 4530, "loss": 1.3792, "reward": null, "learning_rate": 4.028515665741439e-06, "epoch": 2.45, "percentage": 81.68, "elapsed_time": "4:40:13", "remaining_time": "1:02:51"}
|
| 371 |
+
{"current_steps": 3710, "total_steps": 4530, "loss": 1.3686, "reward": null, "learning_rate": 3.934643237406291e-06, "epoch": 2.46, "percentage": 81.9, "elapsed_time": "4:41:18", "remaining_time": "1:02:10"}
|
| 372 |
+
{"current_steps": 3720, "total_steps": 4530, "loss": 1.3424, "reward": null, "learning_rate": 3.8417839513043645e-06, "epoch": 2.46, "percentage": 82.12, "elapsed_time": "4:42:03", "remaining_time": "1:01:25"}
|
| 373 |
+
{"current_steps": 3730, "total_steps": 4530, "loss": 1.3684, "reward": null, "learning_rate": 3.7499422735202127e-06, "epoch": 2.47, "percentage": 82.34, "elapsed_time": "4:42:45", "remaining_time": "1:00:38"}
|
| 374 |
+
{"current_steps": 3740, "total_steps": 4530, "loss": 1.3868, "reward": null, "learning_rate": 3.6591226211963287e-06, "epoch": 2.48, "percentage": 82.56, "elapsed_time": "4:43:28", "remaining_time": "0:59:52"}
|
| 375 |
+
{"current_steps": 3750, "total_steps": 4530, "loss": 1.368, "reward": null, "learning_rate": 3.5693293623207086e-06, "epoch": 2.48, "percentage": 82.78, "elapsed_time": "4:44:12", "remaining_time": "0:59:06"}
|
| 376 |
+
{"current_steps": 3760, "total_steps": 4530, "loss": 1.3027, "reward": null, "learning_rate": 3.480566815516756e-06, "epoch": 2.49, "percentage": 83.0, "elapsed_time": "4:44:59", "remaining_time": "0:58:21"}
|
| 377 |
+
{"current_steps": 3770, "total_steps": 4530, "loss": 1.4223, "reward": null, "learning_rate": 3.3928392498355916e-06, "epoch": 2.5, "percentage": 83.22, "elapsed_time": "4:45:40", "remaining_time": "0:57:35"}
|
| 378 |
+
{"current_steps": 3780, "total_steps": 4530, "loss": 1.3674, "reward": null, "learning_rate": 3.3061508845507323e-06, "epoch": 2.5, "percentage": 83.44, "elapsed_time": "4:46:26", "remaining_time": "0:56:49"}
|
| 379 |
+
{"current_steps": 3790, "total_steps": 4530, "loss": 1.3848, "reward": null, "learning_rate": 3.22050588895515e-06, "epoch": 2.51, "percentage": 83.66, "elapsed_time": "4:47:11", "remaining_time": "0:56:04"}
|
| 380 |
+
{"current_steps": 3800, "total_steps": 4530, "loss": 1.4191, "reward": null, "learning_rate": 3.135908382160771e-06, "epoch": 2.52, "percentage": 83.89, "elapsed_time": "4:47:54", "remaining_time": "0:55:18"}
|
| 381 |
+
{"current_steps": 3810, "total_steps": 4530, "loss": 1.3796, "reward": null, "learning_rate": 3.0523624329003324e-06, "epoch": 2.52, "percentage": 84.11, "elapsed_time": "4:49:00", "remaining_time": "0:54:37"}
|
| 382 |
+
{"current_steps": 3820, "total_steps": 4530, "loss": 1.4101, "reward": null, "learning_rate": 2.969872059331738e-06, "epoch": 2.53, "percentage": 84.33, "elapsed_time": "4:49:44", "remaining_time": "0:53:51"}
|
| 383 |
+
{"current_steps": 3830, "total_steps": 4530, "loss": 1.379, "reward": null, "learning_rate": 2.8884412288447737e-06, "epoch": 2.54, "percentage": 84.55, "elapsed_time": "4:50:27", "remaining_time": "0:53:05"}
|
| 384 |
+
{"current_steps": 3840, "total_steps": 4530, "loss": 1.3881, "reward": null, "learning_rate": 2.8080738578703054e-06, "epoch": 2.54, "percentage": 84.77, "elapsed_time": "4:51:09", "remaining_time": "0:52:19"}
|
| 385 |
+
{"current_steps": 3850, "total_steps": 4530, "loss": 1.3464, "reward": null, "learning_rate": 2.728773811691923e-06, "epoch": 2.55, "percentage": 84.99, "elapsed_time": "4:51:54", "remaining_time": "0:51:33"}
|
| 386 |
+
{"current_steps": 3860, "total_steps": 4530, "loss": 1.367, "reward": null, "learning_rate": 2.6505449042600244e-06, "epoch": 2.56, "percentage": 85.21, "elapsed_time": "4:52:39", "remaining_time": "0:50:47"}
|
| 387 |
+
{"current_steps": 3870, "total_steps": 4530, "loss": 1.3498, "reward": null, "learning_rate": 2.5733908980083988e-06, "epoch": 2.56, "percentage": 85.43, "elapsed_time": "4:53:24", "remaining_time": "0:50:02"}
|
| 388 |
+
{"current_steps": 3880, "total_steps": 4530, "loss": 1.3895, "reward": null, "learning_rate": 2.4973155036732534e-06, "epoch": 2.57, "percentage": 85.65, "elapsed_time": "4:54:06", "remaining_time": "0:49:16"}
|
| 389 |
+
{"current_steps": 3890, "total_steps": 4530, "loss": 1.4072, "reward": null, "learning_rate": 2.422322380114772e-06, "epoch": 2.58, "percentage": 85.87, "elapsed_time": "4:54:47", "remaining_time": "0:48:30"}
|
| 390 |
+
{"current_steps": 3900, "total_steps": 4530, "loss": 1.347, "reward": null, "learning_rate": 2.348415134141102e-06, "epoch": 2.58, "percentage": 86.09, "elapsed_time": "4:55:33", "remaining_time": "0:47:44"}
|
| 391 |
+
{"current_steps": 3910, "total_steps": 4530, "loss": 1.3605, "reward": null, "learning_rate": 2.2755973203349294e-06, "epoch": 2.59, "percentage": 86.31, "elapsed_time": "4:56:36", "remaining_time": "0:47:02"}
|
| 392 |
+
{"current_steps": 3920, "total_steps": 4530, "loss": 1.3105, "reward": null, "learning_rate": 2.2038724408824844e-06, "epoch": 2.6, "percentage": 86.53, "elapsed_time": "4:57:21", "remaining_time": "0:46:16"}
|
| 393 |
+
{"current_steps": 3930, "total_steps": 4530, "loss": 1.3718, "reward": null, "learning_rate": 2.133243945405128e-06, "epoch": 2.6, "percentage": 86.75, "elapsed_time": "4:58:06", "remaining_time": "0:45:30"}
|
| 394 |
+
{"current_steps": 3940, "total_steps": 4530, "loss": 1.3293, "reward": null, "learning_rate": 2.0637152307934228e-06, "epoch": 2.61, "percentage": 86.98, "elapsed_time": "4:58:53", "remaining_time": "0:44:45"}
|
| 395 |
+
{"current_steps": 3950, "total_steps": 4530, "loss": 1.3677, "reward": null, "learning_rate": 1.995289641043768e-06, "epoch": 2.62, "percentage": 87.2, "elapsed_time": "4:59:35", "remaining_time": "0:43:59"}
|
| 396 |
+
{"current_steps": 3960, "total_steps": 4530, "loss": 1.409, "reward": null, "learning_rate": 1.927970467097573e-06, "epoch": 2.62, "percentage": 87.42, "elapsed_time": "5:00:16", "remaining_time": "0:43:13"}
|
| 397 |
+
{"current_steps": 3970, "total_steps": 4530, "loss": 1.3973, "reward": null, "learning_rate": 1.8617609466829666e-06, "epoch": 2.63, "percentage": 87.64, "elapsed_time": "5:01:01", "remaining_time": "0:42:27"}
|
| 398 |
+
{"current_steps": 3980, "total_steps": 4530, "loss": 1.3991, "reward": null, "learning_rate": 1.7966642641590925e-06, "epoch": 2.64, "percentage": 87.86, "elapsed_time": "5:01:43", "remaining_time": "0:41:41"}
|
| 399 |
+
{"current_steps": 3990, "total_steps": 4530, "loss": 1.3662, "reward": null, "learning_rate": 1.732683550362954e-06, "epoch": 2.64, "percentage": 88.08, "elapsed_time": "5:02:25", "remaining_time": "0:40:55"}
|
| 400 |
+
{"current_steps": 4000, "total_steps": 4530, "loss": 1.3871, "reward": null, "learning_rate": 1.6698218824588164e-06, "epoch": 2.65, "percentage": 88.3, "elapsed_time": "5:03:09", "remaining_time": "0:40:10"}
|
| 401 |
+
{"current_steps": 4010, "total_steps": 4530, "loss": 1.4072, "reward": null, "learning_rate": 1.6080822837902382e-06, "epoch": 2.65, "percentage": 88.52, "elapsed_time": "5:04:12", "remaining_time": "0:39:26"}
|
| 402 |
+
{"current_steps": 4020, "total_steps": 4530, "loss": 1.3841, "reward": null, "learning_rate": 1.5474677237346468e-06, "epoch": 2.66, "percentage": 88.74, "elapsed_time": "5:04:57", "remaining_time": "0:38:41"}
|
| 403 |
+
{"current_steps": 4030, "total_steps": 4530, "loss": 1.3729, "reward": null, "learning_rate": 1.4879811175605302e-06, "epoch": 2.67, "percentage": 88.96, "elapsed_time": "5:05:42", "remaining_time": "0:37:55"}
|
| 404 |
+
{"current_steps": 4040, "total_steps": 4530, "loss": 1.3648, "reward": null, "learning_rate": 1.4296253262872234e-06, "epoch": 2.67, "percentage": 89.18, "elapsed_time": "5:06:24", "remaining_time": "0:37:09"}
|
| 405 |
+
{"current_steps": 4050, "total_steps": 4530, "loss": 1.4043, "reward": null, "learning_rate": 1.3724031565473112e-06, "epoch": 2.68, "percentage": 89.4, "elapsed_time": "5:07:06", "remaining_time": "0:36:23"}
|
| 406 |
+
{"current_steps": 4060, "total_steps": 4530, "loss": 1.4135, "reward": null, "learning_rate": 1.316317360451641e-06, "epoch": 2.69, "percentage": 89.62, "elapsed_time": "5:07:50", "remaining_time": "0:35:38"}
|
| 407 |
+
{"current_steps": 4070, "total_steps": 4530, "loss": 1.399, "reward": null, "learning_rate": 1.2613706354569571e-06, "epoch": 2.69, "percentage": 89.85, "elapsed_time": "5:08:34", "remaining_time": "0:34:52"}
|
| 408 |
+
{"current_steps": 4080, "total_steps": 4530, "loss": 1.4024, "reward": null, "learning_rate": 1.2075656242361732e-06, "epoch": 2.7, "percentage": 90.07, "elapsed_time": "5:09:18", "remaining_time": "0:34:06"}
|
| 409 |
+
{"current_steps": 4090, "total_steps": 4530, "loss": 1.3668, "reward": null, "learning_rate": 1.1549049145512636e-06, "epoch": 2.71, "percentage": 90.29, "elapsed_time": "5:10:02", "remaining_time": "0:33:21"}
|
| 410 |
+
{"current_steps": 4100, "total_steps": 4530, "loss": 1.3692, "reward": null, "learning_rate": 1.1033910391288065e-06, "epoch": 2.71, "percentage": 90.51, "elapsed_time": "5:10:48", "remaining_time": "0:32:35"}
|
| 411 |
+
{"current_steps": 4110, "total_steps": 4530, "loss": 1.3908, "reward": null, "learning_rate": 1.0530264755381824e-06, "epoch": 2.72, "percentage": 90.73, "elapsed_time": "5:11:50", "remaining_time": "0:31:52"}
|
| 412 |
+
{"current_steps": 4120, "total_steps": 4530, "loss": 1.3999, "reward": null, "learning_rate": 1.0038136460723963e-06, "epoch": 2.73, "percentage": 90.95, "elapsed_time": "5:12:34", "remaining_time": "0:31:06"}
|
| 413 |
+
{"current_steps": 4130, "total_steps": 4530, "loss": 1.4098, "reward": null, "learning_rate": 9.557549176315934e-07, "epoch": 2.73, "percentage": 91.17, "elapsed_time": "5:13:16", "remaining_time": "0:30:20"}
|
| 414 |
+
{"current_steps": 4140, "total_steps": 4530, "loss": 1.3973, "reward": null, "learning_rate": 9.088526016092142e-07, "epoch": 2.74, "percentage": 91.39, "elapsed_time": "5:13:59", "remaining_time": "0:29:34"}
|
| 415 |
+
{"current_steps": 4150, "total_steps": 4530, "loss": 1.3758, "reward": null, "learning_rate": 8.631089537808307e-07, "epoch": 2.75, "percentage": 91.61, "elapsed_time": "5:14:41", "remaining_time": "0:28:48"}
|
| 416 |
+
{"current_steps": 4160, "total_steps": 4530, "loss": 1.3197, "reward": null, "learning_rate": 8.185261741956551e-07, "epoch": 2.75, "percentage": 91.83, "elapsed_time": "5:15:24", "remaining_time": "0:28:03"}
|
| 417 |
+
{"current_steps": 4170, "total_steps": 4530, "loss": 1.3794, "reward": null, "learning_rate": 7.751064070707248e-07, "epoch": 2.76, "percentage": 92.05, "elapsed_time": "5:16:10", "remaining_time": "0:27:17"}
|
| 418 |
+
{"current_steps": 4180, "total_steps": 4530, "loss": 1.3764, "reward": null, "learning_rate": 7.328517406877761e-07, "epoch": 2.77, "percentage": 92.27, "elapsed_time": "5:16:57", "remaining_time": "0:26:32"}
|
| 419 |
+
{"current_steps": 4190, "total_steps": 4530, "loss": 1.4063, "reward": null, "learning_rate": 6.917642072928137e-07, "epoch": 2.77, "percentage": 92.49, "elapsed_time": "5:17:38", "remaining_time": "0:25:46"}
|
| 420 |
+
{"current_steps": 4200, "total_steps": 4530, "loss": 1.3959, "reward": null, "learning_rate": 6.51845782998356e-07, "epoch": 2.78, "percentage": 92.72, "elapsed_time": "5:18:19", "remaining_time": "0:25:00"}
|
| 421 |
+
{"current_steps": 4210, "total_steps": 4530, "loss": 1.3767, "reward": null, "learning_rate": 6.130983876884155e-07, "epoch": 2.79, "percentage": 92.94, "elapsed_time": "5:19:24", "remaining_time": "0:24:16"}
|
| 422 |
+
{"current_steps": 4220, "total_steps": 4530, "loss": 1.3619, "reward": null, "learning_rate": 5.755238849261407e-07, "epoch": 2.79, "percentage": 93.16, "elapsed_time": "5:20:07", "remaining_time": "0:23:30"}
|
| 423 |
+
{"current_steps": 4230, "total_steps": 4530, "loss": 1.3723, "reward": null, "learning_rate": 5.391240818642007e-07, "epoch": 2.8, "percentage": 93.38, "elapsed_time": "5:20:48", "remaining_time": "0:22:45"}
|
| 424 |
+
{"current_steps": 4240, "total_steps": 4530, "loss": 1.4262, "reward": null, "learning_rate": 5.039007291578579e-07, "epoch": 2.81, "percentage": 93.6, "elapsed_time": "5:21:33", "remaining_time": "0:21:59"}
|
| 425 |
+
{"current_steps": 4250, "total_steps": 4530, "loss": 1.3775, "reward": null, "learning_rate": 4.698555208807853e-07, "epoch": 2.81, "percentage": 93.82, "elapsed_time": "5:22:16", "remaining_time": "0:21:13"}
|
| 426 |
+
{"current_steps": 4260, "total_steps": 4530, "loss": 1.4159, "reward": null, "learning_rate": 4.3699009444357344e-07, "epoch": 2.82, "percentage": 94.04, "elapsed_time": "5:22:58", "remaining_time": "0:20:28"}
|
| 427 |
+
{"current_steps": 4270, "total_steps": 4530, "loss": 1.4007, "reward": null, "learning_rate": 4.0530603051499584e-07, "epoch": 2.83, "percentage": 94.26, "elapsed_time": "5:23:38", "remaining_time": "0:19:42"}
|
| 428 |
+
{"current_steps": 4280, "total_steps": 4530, "loss": 1.3898, "reward": null, "learning_rate": 3.7480485294596747e-07, "epoch": 2.83, "percentage": 94.48, "elapsed_time": "5:24:23", "remaining_time": "0:18:56"}
|
| 429 |
+
{"current_steps": 4290, "total_steps": 4530, "loss": 1.4173, "reward": null, "learning_rate": 3.454880286962781e-07, "epoch": 2.84, "percentage": 94.7, "elapsed_time": "5:25:05", "remaining_time": "0:18:11"}
|
| 430 |
+
{"current_steps": 4300, "total_steps": 4530, "loss": 1.3539, "reward": null, "learning_rate": 3.1735696776400703e-07, "epoch": 2.85, "percentage": 94.92, "elapsed_time": "5:25:51", "remaining_time": "0:17:25"}
|
| 431 |
+
{"current_steps": 4310, "total_steps": 4530, "loss": 1.3803, "reward": null, "learning_rate": 2.9041302311774433e-07, "epoch": 2.85, "percentage": 95.14, "elapsed_time": "5:26:52", "remaining_time": "0:16:41"}
|
| 432 |
+
{"current_steps": 4320, "total_steps": 4530, "loss": 1.4141, "reward": null, "learning_rate": 2.646574906314925e-07, "epoch": 2.86, "percentage": 95.36, "elapsed_time": "5:27:35", "remaining_time": "0:15:55"}
|
| 433 |
+
{"current_steps": 4330, "total_steps": 4530, "loss": 1.3444, "reward": null, "learning_rate": 2.4009160902235816e-07, "epoch": 2.87, "percentage": 95.58, "elapsed_time": "5:28:18", "remaining_time": "0:15:09"}
|
| 434 |
+
{"current_steps": 4340, "total_steps": 4530, "loss": 1.3669, "reward": null, "learning_rate": 2.1671655979096094e-07, "epoch": 2.87, "percentage": 95.81, "elapsed_time": "5:29:03", "remaining_time": "0:14:24"}
|
| 435 |
+
{"current_steps": 4350, "total_steps": 4530, "loss": 1.3776, "reward": null, "learning_rate": 1.9453346716462317e-07, "epoch": 2.88, "percentage": 96.03, "elapsed_time": "5:29:46", "remaining_time": "0:13:38"}
|
| 436 |
+
{"current_steps": 4360, "total_steps": 4530, "loss": 1.4048, "reward": null, "learning_rate": 1.73543398043291e-07, "epoch": 2.89, "percentage": 96.25, "elapsed_time": "5:30:28", "remaining_time": "0:12:53"}
|
| 437 |
+
{"current_steps": 4370, "total_steps": 4530, "loss": 1.3623, "reward": null, "learning_rate": 1.537473619482227e-07, "epoch": 2.89, "percentage": 96.47, "elapsed_time": "5:31:09", "remaining_time": "0:12:07"}
|
| 438 |
+
{"current_steps": 4380, "total_steps": 4530, "loss": 1.3861, "reward": null, "learning_rate": 1.351463109734441e-07, "epoch": 2.9, "percentage": 96.69, "elapsed_time": "5:31:48", "remaining_time": "0:11:21"}
|
| 439 |
+
{"current_steps": 4390, "total_steps": 4530, "loss": 1.3323, "reward": null, "learning_rate": 1.1774113973994083e-07, "epoch": 2.91, "percentage": 96.91, "elapsed_time": "5:32:32", "remaining_time": "0:10:36"}
|
| 440 |
+
{"current_steps": 4400, "total_steps": 4530, "loss": 1.3646, "reward": null, "learning_rate": 1.0153268535264827e-07, "epoch": 2.91, "percentage": 97.13, "elapsed_time": "5:33:15", "remaining_time": "0:09:50"}
|
| 441 |
+
{"current_steps": 4410, "total_steps": 4530, "loss": 1.3963, "reward": null, "learning_rate": 8.652172736017816e-08, "epoch": 2.92, "percentage": 97.35, "elapsed_time": "5:34:18", "remaining_time": "0:09:05"}
|
| 442 |
+
{"current_steps": 4420, "total_steps": 4530, "loss": 1.3812, "reward": null, "learning_rate": 7.270898771733481e-08, "epoch": 2.93, "percentage": 97.57, "elapsed_time": "5:35:04", "remaining_time": "0:08:20"}
|
| 443 |
+
{"current_steps": 4430, "total_steps": 4530, "loss": 1.375, "reward": null, "learning_rate": 6.00951307503872e-08, "epoch": 2.93, "percentage": 97.79, "elapsed_time": "5:35:47", "remaining_time": "0:07:34"}
|
| 444 |
+
{"current_steps": 4440, "total_steps": 4530, "loss": 1.4015, "reward": null, "learning_rate": 4.868076312512515e-08, "epoch": 2.94, "percentage": 98.01, "elapsed_time": "5:36:30", "remaining_time": "0:06:49"}
|
| 445 |
+
{"current_steps": 4450, "total_steps": 4530, "loss": 1.3795, "reward": null, "learning_rate": 3.846643381766879e-08, "epoch": 2.95, "percentage": 98.23, "elapsed_time": "5:37:12", "remaining_time": "0:06:03"}
|
| 446 |
+
{"current_steps": 4460, "total_steps": 4530, "loss": 1.4244, "reward": null, "learning_rate": 2.94526340880813e-08, "epoch": 2.95, "percentage": 98.45, "elapsed_time": "5:37:53", "remaining_time": "0:05:18"}
|
| 447 |
+
{"current_steps": 4470, "total_steps": 4530, "loss": 1.3731, "reward": null, "learning_rate": 2.1639797456723952e-08, "epoch": 2.96, "percentage": 98.68, "elapsed_time": "5:38:37", "remaining_time": "0:04:32"}
|
| 448 |
+
{"current_steps": 4480, "total_steps": 4530, "loss": 1.4061, "reward": null, "learning_rate": 1.5028299683425562e-08, "epoch": 2.97, "percentage": 98.9, "elapsed_time": "5:39:21", "remaining_time": "0:03:47"}
|
| 449 |
+
{"current_steps": 4490, "total_steps": 4530, "loss": 1.3842, "reward": null, "learning_rate": 9.618458749391379e-09, "epoch": 2.97, "percentage": 99.12, "elapsed_time": "5:40:04", "remaining_time": "0:03:01"}
|
| 450 |
+
{"current_steps": 4500, "total_steps": 4530, "loss": 1.3693, "reward": null, "learning_rate": 5.41053484192644e-09, "epoch": 2.98, "percentage": 99.34, "elapsed_time": "5:40:45", "remaining_time": "0:02:16"}
|
| 451 |
+
{"current_steps": 4510, "total_steps": 4530, "loss": 1.3439, "reward": null, "learning_rate": 2.4047303419094667e-09, "epoch": 2.99, "percentage": 99.56, "elapsed_time": "5:41:51", "remaining_time": "0:01:30"}
|
| 452 |
+
{"current_steps": 4520, "total_steps": 4530, "loss": 1.3848, "reward": null, "learning_rate": 6.011898140617645e-10, "epoch": 2.99, "percentage": 99.78, "elapsed_time": "5:42:37", "remaining_time": "0:00:45"}
|
| 453 |
+
{"current_steps": 4530, "total_steps": 4530, "loss": 1.3852, "reward": null, "learning_rate": 0.0, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "5:43:21", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3103 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.3997734785079956,
|
| 3 |
+
"best_model_checkpoint": "alpaca_baichuan/checkpoint-4400",
|
| 4 |
+
"epoch": 2.9992551518662585,
|
| 5 |
+
"global_step": 4530,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.01,
|
| 12 |
+
"learning_rate": 4.999939881018594e-05,
|
| 13 |
+
"loss": 1.6257,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.01,
|
| 18 |
+
"learning_rate": 4.999759526965809e-05,
|
| 19 |
+
"loss": 1.6388,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.02,
|
| 24 |
+
"learning_rate": 4.999458946515808e-05,
|
| 25 |
+
"loss": 1.5034,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.03,
|
| 30 |
+
"learning_rate": 4.999038154125061e-05,
|
| 31 |
+
"loss": 1.5761,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.03,
|
| 36 |
+
"learning_rate": 4.998497170031657e-05,
|
| 37 |
+
"loss": 1.5066,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.04,
|
| 42 |
+
"learning_rate": 4.997836020254328e-05,
|
| 43 |
+
"loss": 1.5738,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.05,
|
| 48 |
+
"learning_rate": 4.9970547365911925e-05,
|
| 49 |
+
"loss": 1.4921,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.05,
|
| 54 |
+
"learning_rate": 4.996153356618233e-05,
|
| 55 |
+
"loss": 1.4508,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.06,
|
| 60 |
+
"learning_rate": 4.995131923687488e-05,
|
| 61 |
+
"loss": 1.4714,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.07,
|
| 66 |
+
"learning_rate": 4.9939904869249616e-05,
|
| 67 |
+
"loss": 1.494,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.07,
|
| 72 |
+
"eval_loss": 1.4796885251998901,
|
| 73 |
+
"eval_runtime": 20.1174,
|
| 74 |
+
"eval_samples_per_second": 24.307,
|
| 75 |
+
"eval_steps_per_second": 6.114,
|
| 76 |
+
"step": 100
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 0.07,
|
| 80 |
+
"learning_rate": 4.992729101228267e-05,
|
| 81 |
+
"loss": 1.4934,
|
| 82 |
+
"step": 110
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.08,
|
| 86 |
+
"learning_rate": 4.991347827263982e-05,
|
| 87 |
+
"loss": 1.4789,
|
| 88 |
+
"step": 120
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.09,
|
| 92 |
+
"learning_rate": 4.9898467314647356e-05,
|
| 93 |
+
"loss": 1.4511,
|
| 94 |
+
"step": 130
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.09,
|
| 98 |
+
"learning_rate": 4.9882258860260065e-05,
|
| 99 |
+
"loss": 1.4876,
|
| 100 |
+
"step": 140
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.1,
|
| 104 |
+
"learning_rate": 4.9864853689026556e-05,
|
| 105 |
+
"loss": 1.5124,
|
| 106 |
+
"step": 150
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.11,
|
| 110 |
+
"learning_rate": 4.984625263805178e-05,
|
| 111 |
+
"loss": 1.4772,
|
| 112 |
+
"step": 160
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 0.11,
|
| 116 |
+
"learning_rate": 4.982645660195671e-05,
|
| 117 |
+
"loss": 1.436,
|
| 118 |
+
"step": 170
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 0.12,
|
| 122 |
+
"learning_rate": 4.9805466532835376e-05,
|
| 123 |
+
"loss": 1.4377,
|
| 124 |
+
"step": 180
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.13,
|
| 128 |
+
"learning_rate": 4.978328344020904e-05,
|
| 129 |
+
"loss": 1.438,
|
| 130 |
+
"step": 190
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.13,
|
| 134 |
+
"learning_rate": 4.975990839097764e-05,
|
| 135 |
+
"loss": 1.4448,
|
| 136 |
+
"step": 200
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.13,
|
| 140 |
+
"eval_loss": 1.45673668384552,
|
| 141 |
+
"eval_runtime": 20.2667,
|
| 142 |
+
"eval_samples_per_second": 24.128,
|
| 143 |
+
"eval_steps_per_second": 6.069,
|
| 144 |
+
"step": 200
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.14,
|
| 148 |
+
"learning_rate": 4.973534250936851e-05,
|
| 149 |
+
"loss": 1.452,
|
| 150 |
+
"step": 210
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.15,
|
| 154 |
+
"learning_rate": 4.970958697688226e-05,
|
| 155 |
+
"loss": 1.4813,
|
| 156 |
+
"step": 220
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.15,
|
| 160 |
+
"learning_rate": 4.9682643032235996e-05,
|
| 161 |
+
"loss": 1.41,
|
| 162 |
+
"step": 230
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.16,
|
| 166 |
+
"learning_rate": 4.965451197130373e-05,
|
| 167 |
+
"loss": 1.428,
|
| 168 |
+
"step": 240
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 0.17,
|
| 172 |
+
"learning_rate": 4.9625195147054034e-05,
|
| 173 |
+
"loss": 1.463,
|
| 174 |
+
"step": 250
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.17,
|
| 178 |
+
"learning_rate": 4.9594693969485006e-05,
|
| 179 |
+
"loss": 1.4821,
|
| 180 |
+
"step": 260
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.18,
|
| 184 |
+
"learning_rate": 4.956300990555643e-05,
|
| 185 |
+
"loss": 1.4855,
|
| 186 |
+
"step": 270
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.19,
|
| 190 |
+
"learning_rate": 4.9530144479119215e-05,
|
| 191 |
+
"loss": 1.4322,
|
| 192 |
+
"step": 280
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.19,
|
| 196 |
+
"learning_rate": 4.9496099270842145e-05,
|
| 197 |
+
"loss": 1.4397,
|
| 198 |
+
"step": 290
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.2,
|
| 202 |
+
"learning_rate": 4.9460875918135804e-05,
|
| 203 |
+
"loss": 1.4107,
|
| 204 |
+
"step": 300
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.2,
|
| 208 |
+
"eval_loss": 1.4451508522033691,
|
| 209 |
+
"eval_runtime": 19.869,
|
| 210 |
+
"eval_samples_per_second": 24.611,
|
| 211 |
+
"eval_steps_per_second": 6.191,
|
| 212 |
+
"step": 300
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.21,
|
| 216 |
+
"learning_rate": 4.942447611507386e-05,
|
| 217 |
+
"loss": 1.4722,
|
| 218 |
+
"step": 310
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.21,
|
| 222 |
+
"learning_rate": 4.938690161231159e-05,
|
| 223 |
+
"loss": 1.423,
|
| 224 |
+
"step": 320
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.22,
|
| 228 |
+
"learning_rate": 4.934815421700165e-05,
|
| 229 |
+
"loss": 1.4288,
|
| 230 |
+
"step": 330
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.23,
|
| 234 |
+
"learning_rate": 4.9308235792707194e-05,
|
| 235 |
+
"loss": 1.4294,
|
| 236 |
+
"step": 340
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.23,
|
| 240 |
+
"learning_rate": 4.9267148259312224e-05,
|
| 241 |
+
"loss": 1.4233,
|
| 242 |
+
"step": 350
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.24,
|
| 246 |
+
"learning_rate": 4.9224893592929275e-05,
|
| 247 |
+
"loss": 1.4553,
|
| 248 |
+
"step": 360
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.24,
|
| 252 |
+
"learning_rate": 4.9181473825804346e-05,
|
| 253 |
+
"loss": 1.4206,
|
| 254 |
+
"step": 370
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.25,
|
| 258 |
+
"learning_rate": 4.913689104621917e-05,
|
| 259 |
+
"loss": 1.442,
|
| 260 |
+
"step": 380
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.26,
|
| 264 |
+
"learning_rate": 4.909114739839079e-05,
|
| 265 |
+
"loss": 1.4668,
|
| 266 |
+
"step": 390
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.26,
|
| 270 |
+
"learning_rate": 4.9044245082368415e-05,
|
| 271 |
+
"loss": 1.4439,
|
| 272 |
+
"step": 400
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.26,
|
| 276 |
+
"eval_loss": 1.4394803047180176,
|
| 277 |
+
"eval_runtime": 19.9302,
|
| 278 |
+
"eval_samples_per_second": 24.536,
|
| 279 |
+
"eval_steps_per_second": 6.172,
|
| 280 |
+
"step": 400
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 0.27,
|
| 284 |
+
"learning_rate": 4.8996186353927606e-05,
|
| 285 |
+
"loss": 1.4224,
|
| 286 |
+
"step": 410
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.28,
|
| 290 |
+
"learning_rate": 4.894697352446182e-05,
|
| 291 |
+
"loss": 1.4084,
|
| 292 |
+
"step": 420
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 0.28,
|
| 296 |
+
"learning_rate": 4.889660896087119e-05,
|
| 297 |
+
"loss": 1.4398,
|
| 298 |
+
"step": 430
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 0.29,
|
| 302 |
+
"learning_rate": 4.884509508544874e-05,
|
| 303 |
+
"loss": 1.4268,
|
| 304 |
+
"step": 440
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.3,
|
| 308 |
+
"learning_rate": 4.879243437576383e-05,
|
| 309 |
+
"loss": 1.4522,
|
| 310 |
+
"step": 450
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.3,
|
| 314 |
+
"learning_rate": 4.8738629364543045e-05,
|
| 315 |
+
"loss": 1.4222,
|
| 316 |
+
"step": 460
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 0.31,
|
| 320 |
+
"learning_rate": 4.8683682639548365e-05,
|
| 321 |
+
"loss": 1.4956,
|
| 322 |
+
"step": 470
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.32,
|
| 326 |
+
"learning_rate": 4.862759684345269e-05,
|
| 327 |
+
"loss": 1.4538,
|
| 328 |
+
"step": 480
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.32,
|
| 332 |
+
"learning_rate": 4.857037467371278e-05,
|
| 333 |
+
"loss": 1.3748,
|
| 334 |
+
"step": 490
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.33,
|
| 338 |
+
"learning_rate": 4.8512018882439475e-05,
|
| 339 |
+
"loss": 1.4127,
|
| 340 |
+
"step": 500
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 0.33,
|
| 344 |
+
"eval_loss": 1.435186505317688,
|
| 345 |
+
"eval_runtime": 19.8689,
|
| 346 |
+
"eval_samples_per_second": 24.611,
|
| 347 |
+
"eval_steps_per_second": 6.191,
|
| 348 |
+
"step": 500
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.34,
|
| 352 |
+
"learning_rate": 4.8452532276265364e-05,
|
| 353 |
+
"loss": 1.3795,
|
| 354 |
+
"step": 510
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.34,
|
| 358 |
+
"learning_rate": 4.8391917716209765e-05,
|
| 359 |
+
"loss": 1.4414,
|
| 360 |
+
"step": 520
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.35,
|
| 364 |
+
"learning_rate": 4.833017811754119e-05,
|
| 365 |
+
"loss": 1.4242,
|
| 366 |
+
"step": 530
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.36,
|
| 370 |
+
"learning_rate": 4.8267316449637054e-05,
|
| 371 |
+
"loss": 1.4196,
|
| 372 |
+
"step": 540
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 0.36,
|
| 376 |
+
"learning_rate": 4.820333573584091e-05,
|
| 377 |
+
"loss": 1.389,
|
| 378 |
+
"step": 550
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.37,
|
| 382 |
+
"learning_rate": 4.813823905331704e-05,
|
| 383 |
+
"loss": 1.4597,
|
| 384 |
+
"step": 560
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.38,
|
| 388 |
+
"learning_rate": 4.8072029532902426e-05,
|
| 389 |
+
"loss": 1.4275,
|
| 390 |
+
"step": 570
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.38,
|
| 394 |
+
"learning_rate": 4.800471035895624e-05,
|
| 395 |
+
"loss": 1.4364,
|
| 396 |
+
"step": 580
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.39,
|
| 400 |
+
"learning_rate": 4.7936284769206584e-05,
|
| 401 |
+
"loss": 1.4366,
|
| 402 |
+
"step": 590
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.4,
|
| 406 |
+
"learning_rate": 4.786675605459487e-05,
|
| 407 |
+
"loss": 1.5086,
|
| 408 |
+
"step": 600
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.4,
|
| 412 |
+
"eval_loss": 1.4307918548583984,
|
| 413 |
+
"eval_runtime": 20.0563,
|
| 414 |
+
"eval_samples_per_second": 24.381,
|
| 415 |
+
"eval_steps_per_second": 6.133,
|
| 416 |
+
"step": 600
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.4,
|
| 420 |
+
"learning_rate": 4.779612755911752e-05,
|
| 421 |
+
"loss": 1.4309,
|
| 422 |
+
"step": 610
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.41,
|
| 426 |
+
"learning_rate": 4.772440267966508e-05,
|
| 427 |
+
"loss": 1.4102,
|
| 428 |
+
"step": 620
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.42,
|
| 432 |
+
"learning_rate": 4.76515848658589e-05,
|
| 433 |
+
"loss": 1.4035,
|
| 434 |
+
"step": 630
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.42,
|
| 438 |
+
"learning_rate": 4.7577677619885234e-05,
|
| 439 |
+
"loss": 1.4478,
|
| 440 |
+
"step": 640
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.43,
|
| 444 |
+
"learning_rate": 4.7502684496326746e-05,
|
| 445 |
+
"loss": 1.3999,
|
| 446 |
+
"step": 650
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.44,
|
| 450 |
+
"learning_rate": 4.7426609101991605e-05,
|
| 451 |
+
"loss": 1.4042,
|
| 452 |
+
"step": 660
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.44,
|
| 456 |
+
"learning_rate": 4.734945509573997e-05,
|
| 457 |
+
"loss": 1.4216,
|
| 458 |
+
"step": 670
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.45,
|
| 462 |
+
"learning_rate": 4.727122618830808e-05,
|
| 463 |
+
"loss": 1.4786,
|
| 464 |
+
"step": 680
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.46,
|
| 468 |
+
"learning_rate": 4.719192614212969e-05,
|
| 469 |
+
"loss": 1.4414,
|
| 470 |
+
"step": 690
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.46,
|
| 474 |
+
"learning_rate": 4.711155877115523e-05,
|
| 475 |
+
"loss": 1.493,
|
| 476 |
+
"step": 700
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 0.46,
|
| 480 |
+
"eval_loss": 1.427127480506897,
|
| 481 |
+
"eval_runtime": 20.5172,
|
| 482 |
+
"eval_samples_per_second": 23.834,
|
| 483 |
+
"eval_steps_per_second": 5.995,
|
| 484 |
+
"step": 700
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 0.47,
|
| 488 |
+
"learning_rate": 4.703012794066827e-05,
|
| 489 |
+
"loss": 1.4078,
|
| 490 |
+
"step": 710
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 0.48,
|
| 494 |
+
"learning_rate": 4.694763756709967e-05,
|
| 495 |
+
"loss": 1.4539,
|
| 496 |
+
"step": 720
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.48,
|
| 500 |
+
"learning_rate": 4.6864091617839235e-05,
|
| 501 |
+
"loss": 1.4458,
|
| 502 |
+
"step": 730
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 0.49,
|
| 506 |
+
"learning_rate": 4.677949411104485e-05,
|
| 507 |
+
"loss": 1.4001,
|
| 508 |
+
"step": 740
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.5,
|
| 512 |
+
"learning_rate": 4.669384911544927e-05,
|
| 513 |
+
"loss": 1.433,
|
| 514 |
+
"step": 750
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.5,
|
| 518 |
+
"learning_rate": 4.660716075016442e-05,
|
| 519 |
+
"loss": 1.4323,
|
| 520 |
+
"step": 760
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.51,
|
| 524 |
+
"learning_rate": 4.6519433184483245e-05,
|
| 525 |
+
"loss": 1.4052,
|
| 526 |
+
"step": 770
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 0.52,
|
| 530 |
+
"learning_rate": 4.6430670637679295e-05,
|
| 531 |
+
"loss": 1.4021,
|
| 532 |
+
"step": 780
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.52,
|
| 536 |
+
"learning_rate": 4.634087737880367e-05,
|
| 537 |
+
"loss": 1.4049,
|
| 538 |
+
"step": 790
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 0.53,
|
| 542 |
+
"learning_rate": 4.625005772647979e-05,
|
| 543 |
+
"loss": 1.3701,
|
| 544 |
+
"step": 800
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 0.53,
|
| 548 |
+
"eval_loss": 1.4250208139419556,
|
| 549 |
+
"eval_runtime": 20.0939,
|
| 550 |
+
"eval_samples_per_second": 24.336,
|
| 551 |
+
"eval_steps_per_second": 6.121,
|
| 552 |
+
"step": 800
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 0.54,
|
| 556 |
+
"learning_rate": 4.615821604869564e-05,
|
| 557 |
+
"loss": 1.4209,
|
| 558 |
+
"step": 810
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 0.54,
|
| 562 |
+
"learning_rate": 4.606535676259372e-05,
|
| 563 |
+
"loss": 1.4373,
|
| 564 |
+
"step": 820
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.55,
|
| 568 |
+
"learning_rate": 4.597148433425857e-05,
|
| 569 |
+
"loss": 1.4913,
|
| 570 |
+
"step": 830
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.56,
|
| 574 |
+
"learning_rate": 4.587660327850203e-05,
|
| 575 |
+
"loss": 1.434,
|
| 576 |
+
"step": 840
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.56,
|
| 580 |
+
"learning_rate": 4.578071815864602e-05,
|
| 581 |
+
"loss": 1.3932,
|
| 582 |
+
"step": 850
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 0.57,
|
| 586 |
+
"learning_rate": 4.5683833586303157e-05,
|
| 587 |
+
"loss": 1.4232,
|
| 588 |
+
"step": 860
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 0.58,
|
| 592 |
+
"learning_rate": 4.5585954221154856e-05,
|
| 593 |
+
"loss": 1.3651,
|
| 594 |
+
"step": 870
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 0.58,
|
| 598 |
+
"learning_rate": 4.548708477072733e-05,
|
| 599 |
+
"loss": 1.4009,
|
| 600 |
+
"step": 880
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 0.59,
|
| 604 |
+
"learning_rate": 4.5387229990165073e-05,
|
| 605 |
+
"loss": 1.428,
|
| 606 |
+
"step": 890
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.6,
|
| 610 |
+
"learning_rate": 4.528639468200226e-05,
|
| 611 |
+
"loss": 1.413,
|
| 612 |
+
"step": 900
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.6,
|
| 616 |
+
"eval_loss": 1.4226006269454956,
|
| 617 |
+
"eval_runtime": 20.161,
|
| 618 |
+
"eval_samples_per_second": 24.255,
|
| 619 |
+
"eval_steps_per_second": 6.101,
|
| 620 |
+
"step": 900
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.6,
|
| 624 |
+
"learning_rate": 4.51845836959317e-05,
|
| 625 |
+
"loss": 1.4328,
|
| 626 |
+
"step": 910
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.61,
|
| 630 |
+
"learning_rate": 4.508180192857162e-05,
|
| 631 |
+
"loss": 1.4262,
|
| 632 |
+
"step": 920
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.62,
|
| 636 |
+
"learning_rate": 4.497805432323015e-05,
|
| 637 |
+
"loss": 1.3677,
|
| 638 |
+
"step": 930
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 0.62,
|
| 642 |
+
"learning_rate": 4.487334586966756e-05,
|
| 643 |
+
"loss": 1.4546,
|
| 644 |
+
"step": 940
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 0.63,
|
| 648 |
+
"learning_rate": 4.476768160385632e-05,
|
| 649 |
+
"loss": 1.4011,
|
| 650 |
+
"step": 950
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 0.64,
|
| 654 |
+
"learning_rate": 4.466106660773885e-05,
|
| 655 |
+
"loss": 1.441,
|
| 656 |
+
"step": 960
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 0.64,
|
| 660 |
+
"learning_rate": 4.4553506008983126e-05,
|
| 661 |
+
"loss": 1.3946,
|
| 662 |
+
"step": 970
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.65,
|
| 666 |
+
"learning_rate": 4.4445004980736064e-05,
|
| 667 |
+
"loss": 1.4478,
|
| 668 |
+
"step": 980
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.66,
|
| 672 |
+
"learning_rate": 4.43355687413747e-05,
|
| 673 |
+
"loss": 1.4093,
|
| 674 |
+
"step": 990
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.66,
|
| 678 |
+
"learning_rate": 4.4225202554255227e-05,
|
| 679 |
+
"loss": 1.4285,
|
| 680 |
+
"step": 1000
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 0.66,
|
| 684 |
+
"eval_loss": 1.4204448461532593,
|
| 685 |
+
"eval_runtime": 19.9265,
|
| 686 |
+
"eval_samples_per_second": 24.54,
|
| 687 |
+
"eval_steps_per_second": 6.173,
|
| 688 |
+
"step": 1000
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.67,
|
| 692 |
+
"learning_rate": 4.411391172745984e-05,
|
| 693 |
+
"loss": 1.3971,
|
| 694 |
+
"step": 1010
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.68,
|
| 698 |
+
"learning_rate": 4.4001701613541456e-05,
|
| 699 |
+
"loss": 1.4024,
|
| 700 |
+
"step": 1020
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 0.68,
|
| 704 |
+
"learning_rate": 4.388857760926629e-05,
|
| 705 |
+
"loss": 1.3623,
|
| 706 |
+
"step": 1030
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.69,
|
| 710 |
+
"learning_rate": 4.3774545155354254e-05,
|
| 711 |
+
"loss": 1.3943,
|
| 712 |
+
"step": 1040
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.7,
|
| 716 |
+
"learning_rate": 4.3659609736217344e-05,
|
| 717 |
+
"loss": 1.4586,
|
| 718 |
+
"step": 1050
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.7,
|
| 722 |
+
"learning_rate": 4.354377687969581e-05,
|
| 723 |
+
"loss": 1.4178,
|
| 724 |
+
"step": 1060
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.71,
|
| 728 |
+
"learning_rate": 4.342705215679232e-05,
|
| 729 |
+
"loss": 1.4454,
|
| 730 |
+
"step": 1070
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.72,
|
| 734 |
+
"learning_rate": 4.330944118140407e-05,
|
| 735 |
+
"loss": 1.3769,
|
| 736 |
+
"step": 1080
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 0.72,
|
| 740 |
+
"learning_rate": 4.3190949610052645e-05,
|
| 741 |
+
"loss": 1.3912,
|
| 742 |
+
"step": 1090
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 0.73,
|
| 746 |
+
"learning_rate": 4.3071583141612135e-05,
|
| 747 |
+
"loss": 1.4116,
|
| 748 |
+
"step": 1100
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 0.73,
|
| 752 |
+
"eval_loss": 1.4190473556518555,
|
| 753 |
+
"eval_runtime": 19.9596,
|
| 754 |
+
"eval_samples_per_second": 24.499,
|
| 755 |
+
"eval_steps_per_second": 6.162,
|
| 756 |
+
"step": 1100
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 0.73,
|
| 760 |
+
"learning_rate": 4.295134751703493e-05,
|
| 761 |
+
"loss": 1.4019,
|
| 762 |
+
"step": 1110
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 0.74,
|
| 766 |
+
"learning_rate": 4.283024851907565e-05,
|
| 767 |
+
"loss": 1.378,
|
| 768 |
+
"step": 1120
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.75,
|
| 772 |
+
"learning_rate": 4.2708291972013026e-05,
|
| 773 |
+
"loss": 1.432,
|
| 774 |
+
"step": 1130
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.75,
|
| 778 |
+
"learning_rate": 4.2585483741369755e-05,
|
| 779 |
+
"loss": 1.4531,
|
| 780 |
+
"step": 1140
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.76,
|
| 784 |
+
"learning_rate": 4.2461829733630435e-05,
|
| 785 |
+
"loss": 1.4455,
|
| 786 |
+
"step": 1150
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.77,
|
| 790 |
+
"learning_rate": 4.233733589595746e-05,
|
| 791 |
+
"loss": 1.4081,
|
| 792 |
+
"step": 1160
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 0.77,
|
| 796 |
+
"learning_rate": 4.2212008215905e-05,
|
| 797 |
+
"loss": 1.4344,
|
| 798 |
+
"step": 1170
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 0.78,
|
| 802 |
+
"learning_rate": 4.208585272113102e-05,
|
| 803 |
+
"loss": 1.3935,
|
| 804 |
+
"step": 1180
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 0.79,
|
| 808 |
+
"learning_rate": 4.195887547910741e-05,
|
| 809 |
+
"loss": 1.4161,
|
| 810 |
+
"step": 1190
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.79,
|
| 814 |
+
"learning_rate": 4.1831082596828106e-05,
|
| 815 |
+
"loss": 1.4185,
|
| 816 |
+
"step": 1200
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.79,
|
| 820 |
+
"eval_loss": 1.4168447256088257,
|
| 821 |
+
"eval_runtime": 19.9431,
|
| 822 |
+
"eval_samples_per_second": 24.52,
|
| 823 |
+
"eval_steps_per_second": 6.168,
|
| 824 |
+
"step": 1200
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.8,
|
| 828 |
+
"learning_rate": 4.1702480220515475e-05,
|
| 829 |
+
"loss": 1.3714,
|
| 830 |
+
"step": 1210
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.81,
|
| 834 |
+
"learning_rate": 4.157307453532457e-05,
|
| 835 |
+
"loss": 1.4062,
|
| 836 |
+
"step": 1220
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.81,
|
| 840 |
+
"learning_rate": 4.144287176504582e-05,
|
| 841 |
+
"loss": 1.4007,
|
| 842 |
+
"step": 1230
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.82,
|
| 846 |
+
"learning_rate": 4.131187817180554e-05,
|
| 847 |
+
"loss": 1.4153,
|
| 848 |
+
"step": 1240
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 0.83,
|
| 852 |
+
"learning_rate": 4.118010005576485e-05,
|
| 853 |
+
"loss": 1.3619,
|
| 854 |
+
"step": 1250
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 0.83,
|
| 858 |
+
"learning_rate": 4.104754375481664e-05,
|
| 859 |
+
"loss": 1.507,
|
| 860 |
+
"step": 1260
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 0.84,
|
| 864 |
+
"learning_rate": 4.0914215644280754e-05,
|
| 865 |
+
"loss": 1.4487,
|
| 866 |
+
"step": 1270
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.85,
|
| 870 |
+
"learning_rate": 4.0780122136597323e-05,
|
| 871 |
+
"loss": 1.409,
|
| 872 |
+
"step": 1280
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.85,
|
| 876 |
+
"learning_rate": 4.064526968101844e-05,
|
| 877 |
+
"loss": 1.3994,
|
| 878 |
+
"step": 1290
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.86,
|
| 882 |
+
"learning_rate": 4.050966476329793e-05,
|
| 883 |
+
"loss": 1.4285,
|
| 884 |
+
"step": 1300
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.86,
|
| 888 |
+
"eval_loss": 1.4150002002716064,
|
| 889 |
+
"eval_runtime": 19.9449,
|
| 890 |
+
"eval_samples_per_second": 24.518,
|
| 891 |
+
"eval_steps_per_second": 6.167,
|
| 892 |
+
"step": 1300
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.87,
|
| 896 |
+
"learning_rate": 4.037331390537939e-05,
|
| 897 |
+
"loss": 1.4562,
|
| 898 |
+
"step": 1310
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.87,
|
| 902 |
+
"learning_rate": 4.023622366508261e-05,
|
| 903 |
+
"loss": 1.4202,
|
| 904 |
+
"step": 1320
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 0.88,
|
| 908 |
+
"learning_rate": 4.0098400635788035e-05,
|
| 909 |
+
"loss": 1.381,
|
| 910 |
+
"step": 1330
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 0.89,
|
| 914 |
+
"learning_rate": 3.99598514461198e-05,
|
| 915 |
+
"loss": 1.4656,
|
| 916 |
+
"step": 1340
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 0.89,
|
| 920 |
+
"learning_rate": 3.9820582759626825e-05,
|
| 921 |
+
"loss": 1.4094,
|
| 922 |
+
"step": 1350
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.9,
|
| 926 |
+
"learning_rate": 3.968060127446236e-05,
|
| 927 |
+
"loss": 1.4183,
|
| 928 |
+
"step": 1360
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 0.91,
|
| 932 |
+
"learning_rate": 3.953991372306186e-05,
|
| 933 |
+
"loss": 1.411,
|
| 934 |
+
"step": 1370
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.91,
|
| 938 |
+
"learning_rate": 3.9398526871819154e-05,
|
| 939 |
+
"loss": 1.418,
|
| 940 |
+
"step": 1380
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.92,
|
| 944 |
+
"learning_rate": 3.925644752076101e-05,
|
| 945 |
+
"loss": 1.4751,
|
| 946 |
+
"step": 1390
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 0.93,
|
| 950 |
+
"learning_rate": 3.911368250322014e-05,
|
| 951 |
+
"loss": 1.4246,
|
| 952 |
+
"step": 1400
|
| 953 |
+
},
|
| 954 |
+
{
|
| 955 |
+
"epoch": 0.93,
|
| 956 |
+
"eval_loss": 1.4129770994186401,
|
| 957 |
+
"eval_runtime": 19.9327,
|
| 958 |
+
"eval_samples_per_second": 24.533,
|
| 959 |
+
"eval_steps_per_second": 6.171,
|
| 960 |
+
"step": 1400
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 0.93,
|
| 964 |
+
"learning_rate": 3.897023868550649e-05,
|
| 965 |
+
"loss": 1.4102,
|
| 966 |
+
"step": 1410
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 0.94,
|
| 970 |
+
"learning_rate": 3.882612296657701e-05,
|
| 971 |
+
"loss": 1.3871,
|
| 972 |
+
"step": 1420
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 0.95,
|
| 976 |
+
"learning_rate": 3.8681342277703906e-05,
|
| 977 |
+
"loss": 1.4156,
|
| 978 |
+
"step": 1430
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.95,
|
| 982 |
+
"learning_rate": 3.853590358214119e-05,
|
| 983 |
+
"loss": 1.433,
|
| 984 |
+
"step": 1440
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.96,
|
| 988 |
+
"learning_rate": 3.8389813874789856e-05,
|
| 989 |
+
"loss": 1.4372,
|
| 990 |
+
"step": 1450
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.97,
|
| 994 |
+
"learning_rate": 3.8243080181861435e-05,
|
| 995 |
+
"loss": 1.3978,
|
| 996 |
+
"step": 1460
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.97,
|
| 1000 |
+
"learning_rate": 3.809570956054004e-05,
|
| 1001 |
+
"loss": 1.3964,
|
| 1002 |
+
"step": 1470
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 0.98,
|
| 1006 |
+
"learning_rate": 3.794770909864298e-05,
|
| 1007 |
+
"loss": 1.4332,
|
| 1008 |
+
"step": 1480
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 0.99,
|
| 1012 |
+
"learning_rate": 3.779908591427988e-05,
|
| 1013 |
+
"loss": 1.4044,
|
| 1014 |
+
"step": 1490
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 0.99,
|
| 1018 |
+
"learning_rate": 3.764984715551032e-05,
|
| 1019 |
+
"loss": 1.4301,
|
| 1020 |
+
"step": 1500
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.99,
|
| 1024 |
+
"eval_loss": 1.412743330001831,
|
| 1025 |
+
"eval_runtime": 19.9577,
|
| 1026 |
+
"eval_samples_per_second": 24.502,
|
| 1027 |
+
"eval_steps_per_second": 6.163,
|
| 1028 |
+
"step": 1500
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 1.0,
|
| 1032 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 1033 |
+
"loss": 1.4721,
|
| 1034 |
+
"step": 1510
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 1.01,
|
| 1038 |
+
"learning_rate": 3.734955165467563e-05,
|
| 1039 |
+
"loss": 1.3905,
|
| 1040 |
+
"step": 1520
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 1.01,
|
| 1044 |
+
"learning_rate": 3.719850935537821e-05,
|
| 1045 |
+
"loss": 1.423,
|
| 1046 |
+
"step": 1530
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.02,
|
| 1050 |
+
"learning_rate": 3.70468803665151e-05,
|
| 1051 |
+
"loss": 1.404,
|
| 1052 |
+
"step": 1540
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 1.03,
|
| 1056 |
+
"learning_rate": 3.6894671980710574e-05,
|
| 1057 |
+
"loss": 1.4042,
|
| 1058 |
+
"step": 1550
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 1.03,
|
| 1062 |
+
"learning_rate": 3.674189151845515e-05,
|
| 1063 |
+
"loss": 1.4158,
|
| 1064 |
+
"step": 1560
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 1.04,
|
| 1068 |
+
"learning_rate": 3.6588546327753425e-05,
|
| 1069 |
+
"loss": 1.409,
|
| 1070 |
+
"step": 1570
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 1.05,
|
| 1074 |
+
"learning_rate": 3.6434643783770736e-05,
|
| 1075 |
+
"loss": 1.3764,
|
| 1076 |
+
"step": 1580
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 1.05,
|
| 1080 |
+
"learning_rate": 3.6280191288478436e-05,
|
| 1081 |
+
"loss": 1.4021,
|
| 1082 |
+
"step": 1590
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 1.06,
|
| 1086 |
+
"learning_rate": 3.612519627029787e-05,
|
| 1087 |
+
"loss": 1.3973,
|
| 1088 |
+
"step": 1600
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 1.06,
|
| 1092 |
+
"eval_loss": 1.411142349243164,
|
| 1093 |
+
"eval_runtime": 19.9375,
|
| 1094 |
+
"eval_samples_per_second": 24.527,
|
| 1095 |
+
"eval_steps_per_second": 6.169,
|
| 1096 |
+
"step": 1600
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 1.07,
|
| 1100 |
+
"learning_rate": 3.596966618374313e-05,
|
| 1101 |
+
"loss": 1.3985,
|
| 1102 |
+
"step": 1610
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 1.07,
|
| 1106 |
+
"learning_rate": 3.5813608509062526e-05,
|
| 1107 |
+
"loss": 1.3444,
|
| 1108 |
+
"step": 1620
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 1.08,
|
| 1112 |
+
"learning_rate": 3.5657030751878814e-05,
|
| 1113 |
+
"loss": 1.4207,
|
| 1114 |
+
"step": 1630
|
| 1115 |
+
},
|
| 1116 |
+
{
|
| 1117 |
+
"epoch": 1.09,
|
| 1118 |
+
"learning_rate": 3.5499940442828206e-05,
|
| 1119 |
+
"loss": 1.4304,
|
| 1120 |
+
"step": 1640
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"epoch": 1.09,
|
| 1124 |
+
"learning_rate": 3.534234513719821e-05,
|
| 1125 |
+
"loss": 1.3924,
|
| 1126 |
+
"step": 1650
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 1.1,
|
| 1130 |
+
"learning_rate": 3.51842524145642e-05,
|
| 1131 |
+
"loss": 1.3686,
|
| 1132 |
+
"step": 1660
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 1.11,
|
| 1136 |
+
"learning_rate": 3.502566987842496e-05,
|
| 1137 |
+
"loss": 1.4248,
|
| 1138 |
+
"step": 1670
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 1.11,
|
| 1142 |
+
"learning_rate": 3.4866605155836915e-05,
|
| 1143 |
+
"loss": 1.3906,
|
| 1144 |
+
"step": 1680
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 1.12,
|
| 1148 |
+
"learning_rate": 3.470706589704734e-05,
|
| 1149 |
+
"loss": 1.444,
|
| 1150 |
+
"step": 1690
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 1.13,
|
| 1154 |
+
"learning_rate": 3.4547059775126445e-05,
|
| 1155 |
+
"loss": 1.3589,
|
| 1156 |
+
"step": 1700
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"epoch": 1.13,
|
| 1160 |
+
"eval_loss": 1.4102592468261719,
|
| 1161 |
+
"eval_runtime": 19.9452,
|
| 1162 |
+
"eval_samples_per_second": 24.517,
|
| 1163 |
+
"eval_steps_per_second": 6.167,
|
| 1164 |
+
"step": 1700
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 1.13,
|
| 1168 |
+
"learning_rate": 3.438659448559825e-05,
|
| 1169 |
+
"loss": 1.319,
|
| 1170 |
+
"step": 1710
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 1.14,
|
| 1174 |
+
"learning_rate": 3.422567774607058e-05,
|
| 1175 |
+
"loss": 1.406,
|
| 1176 |
+
"step": 1720
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 1.15,
|
| 1180 |
+
"learning_rate": 3.406431729586382e-05,
|
| 1181 |
+
"loss": 1.4114,
|
| 1182 |
+
"step": 1730
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 1.15,
|
| 1186 |
+
"learning_rate": 3.390252089563867e-05,
|
| 1187 |
+
"loss": 1.3722,
|
| 1188 |
+
"step": 1740
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 1.16,
|
| 1192 |
+
"learning_rate": 3.3740296327022984e-05,
|
| 1193 |
+
"loss": 1.3528,
|
| 1194 |
+
"step": 1750
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 1.17,
|
| 1198 |
+
"learning_rate": 3.35776513922374e-05,
|
| 1199 |
+
"loss": 1.4274,
|
| 1200 |
+
"step": 1760
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.17,
|
| 1204 |
+
"learning_rate": 3.341459391372016e-05,
|
| 1205 |
+
"loss": 1.4324,
|
| 1206 |
+
"step": 1770
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 1.18,
|
| 1210 |
+
"learning_rate": 3.32511317337509e-05,
|
| 1211 |
+
"loss": 1.409,
|
| 1212 |
+
"step": 1780
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 1.19,
|
| 1216 |
+
"learning_rate": 3.30872727140734e-05,
|
| 1217 |
+
"loss": 1.3464,
|
| 1218 |
+
"step": 1790
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 1.19,
|
| 1222 |
+
"learning_rate": 3.292302473551757e-05,
|
| 1223 |
+
"loss": 1.4144,
|
| 1224 |
+
"step": 1800
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 1.19,
|
| 1228 |
+
"eval_loss": 1.4091637134552002,
|
| 1229 |
+
"eval_runtime": 19.9455,
|
| 1230 |
+
"eval_samples_per_second": 24.517,
|
| 1231 |
+
"eval_steps_per_second": 6.167,
|
| 1232 |
+
"step": 1800
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 1.2,
|
| 1236 |
+
"learning_rate": 3.2758395697620334e-05,
|
| 1237 |
+
"loss": 1.4139,
|
| 1238 |
+
"step": 1810
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 1.2,
|
| 1242 |
+
"learning_rate": 3.259339351824575e-05,
|
| 1243 |
+
"loss": 1.4247,
|
| 1244 |
+
"step": 1820
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 1.21,
|
| 1248 |
+
"learning_rate": 3.2428026133204184e-05,
|
| 1249 |
+
"loss": 1.4241,
|
| 1250 |
+
"step": 1830
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 1.22,
|
| 1254 |
+
"learning_rate": 3.226230149587063e-05,
|
| 1255 |
+
"loss": 1.3941,
|
| 1256 |
+
"step": 1840
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 1.22,
|
| 1260 |
+
"learning_rate": 3.20962275768022e-05,
|
| 1261 |
+
"loss": 1.4238,
|
| 1262 |
+
"step": 1850
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 1.23,
|
| 1266 |
+
"learning_rate": 3.1929812363354766e-05,
|
| 1267 |
+
"loss": 1.382,
|
| 1268 |
+
"step": 1860
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 1.24,
|
| 1272 |
+
"learning_rate": 3.1763063859298845e-05,
|
| 1273 |
+
"loss": 1.4124,
|
| 1274 |
+
"step": 1870
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 1.24,
|
| 1278 |
+
"learning_rate": 3.159599008443459e-05,
|
| 1279 |
+
"loss": 1.3963,
|
| 1280 |
+
"step": 1880
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 1.25,
|
| 1284 |
+
"learning_rate": 3.142859907420615e-05,
|
| 1285 |
+
"loss": 1.3542,
|
| 1286 |
+
"step": 1890
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 1.26,
|
| 1290 |
+
"learning_rate": 3.126089887931515e-05,
|
| 1291 |
+
"loss": 1.3852,
|
| 1292 |
+
"step": 1900
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 1.26,
|
| 1296 |
+
"eval_loss": 1.4086569547653198,
|
| 1297 |
+
"eval_runtime": 19.948,
|
| 1298 |
+
"eval_samples_per_second": 24.514,
|
| 1299 |
+
"eval_steps_per_second": 6.166,
|
| 1300 |
+
"step": 1900
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 1.26,
|
| 1304 |
+
"learning_rate": 3.109289756533349e-05,
|
| 1305 |
+
"loss": 1.3972,
|
| 1306 |
+
"step": 1910
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 1.27,
|
| 1310 |
+
"learning_rate": 3.092460321231547e-05,
|
| 1311 |
+
"loss": 1.3783,
|
| 1312 |
+
"step": 1920
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 1.28,
|
| 1316 |
+
"learning_rate": 3.075602391440918e-05,
|
| 1317 |
+
"loss": 1.4122,
|
| 1318 |
+
"step": 1930
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 1.28,
|
| 1322 |
+
"learning_rate": 3.058716777946713e-05,
|
| 1323 |
+
"loss": 1.4105,
|
| 1324 |
+
"step": 1940
|
| 1325 |
+
},
|
| 1326 |
+
{
|
| 1327 |
+
"epoch": 1.29,
|
| 1328 |
+
"learning_rate": 3.0418042928656414e-05,
|
| 1329 |
+
"loss": 1.4091,
|
| 1330 |
+
"step": 1950
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 1.3,
|
| 1334 |
+
"learning_rate": 3.0248657496068027e-05,
|
| 1335 |
+
"loss": 1.4067,
|
| 1336 |
+
"step": 1960
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 1.3,
|
| 1340 |
+
"learning_rate": 3.0079019628325706e-05,
|
| 1341 |
+
"loss": 1.4172,
|
| 1342 |
+
"step": 1970
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 1.31,
|
| 1346 |
+
"learning_rate": 2.990913748419411e-05,
|
| 1347 |
+
"loss": 1.3803,
|
| 1348 |
+
"step": 1980
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 1.32,
|
| 1352 |
+
"learning_rate": 2.97390192341864e-05,
|
| 1353 |
+
"loss": 1.4096,
|
| 1354 |
+
"step": 1990
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 1.32,
|
| 1358 |
+
"learning_rate": 2.9568673060171326e-05,
|
| 1359 |
+
"loss": 1.3774,
|
| 1360 |
+
"step": 2000
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 1.32,
|
| 1364 |
+
"eval_loss": 1.407130479812622,
|
| 1365 |
+
"eval_runtime": 19.928,
|
| 1366 |
+
"eval_samples_per_second": 24.538,
|
| 1367 |
+
"eval_steps_per_second": 6.172,
|
| 1368 |
+
"step": 2000
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 1.33,
|
| 1372 |
+
"learning_rate": 2.9398107154979638e-05,
|
| 1373 |
+
"loss": 1.3729,
|
| 1374 |
+
"step": 2010
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 1.34,
|
| 1378 |
+
"learning_rate": 2.922732972201014e-05,
|
| 1379 |
+
"loss": 1.3687,
|
| 1380 |
+
"step": 2020
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 1.34,
|
| 1384 |
+
"learning_rate": 2.9056348974835067e-05,
|
| 1385 |
+
"loss": 1.3946,
|
| 1386 |
+
"step": 2030
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 1.35,
|
| 1390 |
+
"learning_rate": 2.8885173136805127e-05,
|
| 1391 |
+
"loss": 1.3922,
|
| 1392 |
+
"step": 2040
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 1.36,
|
| 1396 |
+
"learning_rate": 2.8713810440653926e-05,
|
| 1397 |
+
"loss": 1.3631,
|
| 1398 |
+
"step": 2050
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 1.36,
|
| 1402 |
+
"learning_rate": 2.8542269128102063e-05,
|
| 1403 |
+
"loss": 1.4193,
|
| 1404 |
+
"step": 2060
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 1.37,
|
| 1408 |
+
"learning_rate": 2.837055744946072e-05,
|
| 1409 |
+
"loss": 1.3776,
|
| 1410 |
+
"step": 2070
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 1.38,
|
| 1414 |
+
"learning_rate": 2.819868366323488e-05,
|
| 1415 |
+
"loss": 1.4099,
|
| 1416 |
+
"step": 2080
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 1.38,
|
| 1420 |
+
"learning_rate": 2.8026656035726095e-05,
|
| 1421 |
+
"loss": 1.41,
|
| 1422 |
+
"step": 2090
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 1.39,
|
| 1426 |
+
"learning_rate": 2.7854482840634965e-05,
|
| 1427 |
+
"loss": 1.4604,
|
| 1428 |
+
"step": 2100
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 1.39,
|
| 1432 |
+
"eval_loss": 1.406220555305481,
|
| 1433 |
+
"eval_runtime": 19.947,
|
| 1434 |
+
"eval_samples_per_second": 24.515,
|
| 1435 |
+
"eval_steps_per_second": 6.166,
|
| 1436 |
+
"step": 2100
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 1.4,
|
| 1440 |
+
"learning_rate": 2.7682172358663173e-05,
|
| 1441 |
+
"loss": 1.4485,
|
| 1442 |
+
"step": 2110
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 1.4,
|
| 1446 |
+
"learning_rate": 2.7509732877115257e-05,
|
| 1447 |
+
"loss": 1.4445,
|
| 1448 |
+
"step": 2120
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 1.41,
|
| 1452 |
+
"learning_rate": 2.73371726895e-05,
|
| 1453 |
+
"loss": 1.3889,
|
| 1454 |
+
"step": 2130
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 1.42,
|
| 1458 |
+
"learning_rate": 2.716450009513158e-05,
|
| 1459 |
+
"loss": 1.4167,
|
| 1460 |
+
"step": 2140
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 1.42,
|
| 1464 |
+
"learning_rate": 2.6991723398730383e-05,
|
| 1465 |
+
"loss": 1.3388,
|
| 1466 |
+
"step": 2150
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 1.43,
|
| 1470 |
+
"learning_rate": 2.68188509100236e-05,
|
| 1471 |
+
"loss": 1.4379,
|
| 1472 |
+
"step": 2160
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 1.44,
|
| 1476 |
+
"learning_rate": 2.6645890943345585e-05,
|
| 1477 |
+
"loss": 1.4119,
|
| 1478 |
+
"step": 2170
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 1.44,
|
| 1482 |
+
"learning_rate": 2.6472851817237948e-05,
|
| 1483 |
+
"loss": 1.3961,
|
| 1484 |
+
"step": 2180
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 1.45,
|
| 1488 |
+
"learning_rate": 2.6299741854049508e-05,
|
| 1489 |
+
"loss": 1.3999,
|
| 1490 |
+
"step": 2190
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 1.46,
|
| 1494 |
+
"learning_rate": 2.6126569379535985e-05,
|
| 1495 |
+
"loss": 1.3739,
|
| 1496 |
+
"step": 2200
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 1.46,
|
| 1500 |
+
"eval_loss": 1.4052706956863403,
|
| 1501 |
+
"eval_runtime": 19.9293,
|
| 1502 |
+
"eval_samples_per_second": 24.537,
|
| 1503 |
+
"eval_steps_per_second": 6.172,
|
| 1504 |
+
"step": 2200
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 1.46,
|
| 1508 |
+
"learning_rate": 2.5953342722459594e-05,
|
| 1509 |
+
"loss": 1.4256,
|
| 1510 |
+
"step": 2210
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 1.47,
|
| 1514 |
+
"learning_rate": 2.5780070214188478e-05,
|
| 1515 |
+
"loss": 1.4615,
|
| 1516 |
+
"step": 2220
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 1.48,
|
| 1520 |
+
"learning_rate": 2.5606760188296004e-05,
|
| 1521 |
+
"loss": 1.3877,
|
| 1522 |
+
"step": 2230
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 1.48,
|
| 1526 |
+
"learning_rate": 2.5433420980159944e-05,
|
| 1527 |
+
"loss": 1.3752,
|
| 1528 |
+
"step": 2240
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 1.49,
|
| 1532 |
+
"learning_rate": 2.526006092656161e-05,
|
| 1533 |
+
"loss": 1.4084,
|
| 1534 |
+
"step": 2250
|
| 1535 |
+
},
|
| 1536 |
+
{
|
| 1537 |
+
"epoch": 1.5,
|
| 1538 |
+
"learning_rate": 2.508668836528486e-05,
|
| 1539 |
+
"loss": 1.3921,
|
| 1540 |
+
"step": 2260
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 1.5,
|
| 1544 |
+
"learning_rate": 2.491331163471514e-05,
|
| 1545 |
+
"loss": 1.4104,
|
| 1546 |
+
"step": 2270
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 1.51,
|
| 1550 |
+
"learning_rate": 2.4739939073438397e-05,
|
| 1551 |
+
"loss": 1.4053,
|
| 1552 |
+
"step": 2280
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 1.52,
|
| 1556 |
+
"learning_rate": 2.456657901984006e-05,
|
| 1557 |
+
"loss": 1.381,
|
| 1558 |
+
"step": 2290
|
| 1559 |
+
},
|
| 1560 |
+
{
|
| 1561 |
+
"epoch": 1.52,
|
| 1562 |
+
"learning_rate": 2.4393239811704e-05,
|
| 1563 |
+
"loss": 1.3752,
|
| 1564 |
+
"step": 2300
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 1.52,
|
| 1568 |
+
"eval_loss": 1.4050989151000977,
|
| 1569 |
+
"eval_runtime": 19.9544,
|
| 1570 |
+
"eval_samples_per_second": 24.506,
|
| 1571 |
+
"eval_steps_per_second": 6.164,
|
| 1572 |
+
"step": 2300
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 1.53,
|
| 1576 |
+
"learning_rate": 2.4219929785811518e-05,
|
| 1577 |
+
"loss": 1.4023,
|
| 1578 |
+
"step": 2310
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 1.54,
|
| 1582 |
+
"learning_rate": 2.4046657277540412e-05,
|
| 1583 |
+
"loss": 1.3642,
|
| 1584 |
+
"step": 2320
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.54,
|
| 1588 |
+
"learning_rate": 2.3873430620464024e-05,
|
| 1589 |
+
"loss": 1.3977,
|
| 1590 |
+
"step": 2330
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 1.55,
|
| 1594 |
+
"learning_rate": 2.3700258145950495e-05,
|
| 1595 |
+
"loss": 1.3905,
|
| 1596 |
+
"step": 2340
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 1.56,
|
| 1600 |
+
"learning_rate": 2.3527148182762054e-05,
|
| 1601 |
+
"loss": 1.4022,
|
| 1602 |
+
"step": 2350
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 1.56,
|
| 1606 |
+
"learning_rate": 2.335410905665442e-05,
|
| 1607 |
+
"loss": 1.4162,
|
| 1608 |
+
"step": 2360
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 1.57,
|
| 1612 |
+
"learning_rate": 2.3181149089976405e-05,
|
| 1613 |
+
"loss": 1.3877,
|
| 1614 |
+
"step": 2370
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 1.58,
|
| 1618 |
+
"learning_rate": 2.3008276601269623e-05,
|
| 1619 |
+
"loss": 1.3704,
|
| 1620 |
+
"step": 2380
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 1.58,
|
| 1624 |
+
"learning_rate": 2.283549990486842e-05,
|
| 1625 |
+
"loss": 1.3725,
|
| 1626 |
+
"step": 2390
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.59,
|
| 1630 |
+
"learning_rate": 2.2662827310499995e-05,
|
| 1631 |
+
"loss": 1.4232,
|
| 1632 |
+
"step": 2400
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 1.59,
|
| 1636 |
+
"eval_loss": 1.4044643640518188,
|
| 1637 |
+
"eval_runtime": 19.9565,
|
| 1638 |
+
"eval_samples_per_second": 24.503,
|
| 1639 |
+
"eval_steps_per_second": 6.163,
|
| 1640 |
+
"step": 2400
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.6,
|
| 1644 |
+
"learning_rate": 2.249026712288474e-05,
|
| 1645 |
+
"loss": 1.3916,
|
| 1646 |
+
"step": 2410
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 1.6,
|
| 1650 |
+
"learning_rate": 2.2317827641336833e-05,
|
| 1651 |
+
"loss": 1.384,
|
| 1652 |
+
"step": 2420
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 1.61,
|
| 1656 |
+
"learning_rate": 2.2145517159365044e-05,
|
| 1657 |
+
"loss": 1.3969,
|
| 1658 |
+
"step": 2430
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 1.62,
|
| 1662 |
+
"learning_rate": 2.197334396427391e-05,
|
| 1663 |
+
"loss": 1.3742,
|
| 1664 |
+
"step": 2440
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 1.62,
|
| 1668 |
+
"learning_rate": 2.1801316336765126e-05,
|
| 1669 |
+
"loss": 1.3901,
|
| 1670 |
+
"step": 2450
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 1.63,
|
| 1674 |
+
"learning_rate": 2.162944255053928e-05,
|
| 1675 |
+
"loss": 1.3853,
|
| 1676 |
+
"step": 2460
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 1.64,
|
| 1680 |
+
"learning_rate": 2.145773087189794e-05,
|
| 1681 |
+
"loss": 1.3709,
|
| 1682 |
+
"step": 2470
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.64,
|
| 1686 |
+
"learning_rate": 2.128618955934608e-05,
|
| 1687 |
+
"loss": 1.3758,
|
| 1688 |
+
"step": 2480
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 1.65,
|
| 1692 |
+
"learning_rate": 2.1114826863194882e-05,
|
| 1693 |
+
"loss": 1.3561,
|
| 1694 |
+
"step": 2490
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 1.66,
|
| 1698 |
+
"learning_rate": 2.0943651025164932e-05,
|
| 1699 |
+
"loss": 1.3774,
|
| 1700 |
+
"step": 2500
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 1.66,
|
| 1704 |
+
"eval_loss": 1.4048223495483398,
|
| 1705 |
+
"eval_runtime": 19.9312,
|
| 1706 |
+
"eval_samples_per_second": 24.534,
|
| 1707 |
+
"eval_steps_per_second": 6.171,
|
| 1708 |
+
"step": 2500
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 1.66,
|
| 1712 |
+
"learning_rate": 2.0772670277989864e-05,
|
| 1713 |
+
"loss": 1.3961,
|
| 1714 |
+
"step": 2510
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 1.67,
|
| 1718 |
+
"learning_rate": 2.060189284502037e-05,
|
| 1719 |
+
"loss": 1.3794,
|
| 1720 |
+
"step": 2520
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 1.68,
|
| 1724 |
+
"learning_rate": 2.0431326939828686e-05,
|
| 1725 |
+
"loss": 1.4147,
|
| 1726 |
+
"step": 2530
|
| 1727 |
+
},
|
| 1728 |
+
{
|
| 1729 |
+
"epoch": 1.68,
|
| 1730 |
+
"learning_rate": 2.0260980765813604e-05,
|
| 1731 |
+
"loss": 1.4336,
|
| 1732 |
+
"step": 2540
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 1.69,
|
| 1736 |
+
"learning_rate": 2.0090862515805898e-05,
|
| 1737 |
+
"loss": 1.4228,
|
| 1738 |
+
"step": 2550
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 1.69,
|
| 1742 |
+
"learning_rate": 1.99209803716743e-05,
|
| 1743 |
+
"loss": 1.4188,
|
| 1744 |
+
"step": 2560
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 1.7,
|
| 1748 |
+
"learning_rate": 1.975134250393198e-05,
|
| 1749 |
+
"loss": 1.4492,
|
| 1750 |
+
"step": 2570
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 1.71,
|
| 1754 |
+
"learning_rate": 1.9581957071343592e-05,
|
| 1755 |
+
"loss": 1.4492,
|
| 1756 |
+
"step": 2580
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 1.71,
|
| 1760 |
+
"learning_rate": 1.9412832220532867e-05,
|
| 1761 |
+
"loss": 1.4261,
|
| 1762 |
+
"step": 2590
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 1.72,
|
| 1766 |
+
"learning_rate": 1.9243976085590824e-05,
|
| 1767 |
+
"loss": 1.412,
|
| 1768 |
+
"step": 2600
|
| 1769 |
+
},
|
| 1770 |
+
{
|
| 1771 |
+
"epoch": 1.72,
|
| 1772 |
+
"eval_loss": 1.4038400650024414,
|
| 1773 |
+
"eval_runtime": 19.9456,
|
| 1774 |
+
"eval_samples_per_second": 24.517,
|
| 1775 |
+
"eval_steps_per_second": 6.167,
|
| 1776 |
+
"step": 2600
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 1.73,
|
| 1780 |
+
"learning_rate": 1.9075396787684533e-05,
|
| 1781 |
+
"loss": 1.3858,
|
| 1782 |
+
"step": 2610
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"epoch": 1.73,
|
| 1786 |
+
"learning_rate": 1.8907102434666523e-05,
|
| 1787 |
+
"loss": 1.3648,
|
| 1788 |
+
"step": 2620
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 1.74,
|
| 1792 |
+
"learning_rate": 1.8739101120684866e-05,
|
| 1793 |
+
"loss": 1.4267,
|
| 1794 |
+
"step": 2630
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 1.75,
|
| 1798 |
+
"learning_rate": 1.8571400925793855e-05,
|
| 1799 |
+
"loss": 1.4115,
|
| 1800 |
+
"step": 2640
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 1.75,
|
| 1804 |
+
"learning_rate": 1.840400991556541e-05,
|
| 1805 |
+
"loss": 1.3767,
|
| 1806 |
+
"step": 2650
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 1.76,
|
| 1810 |
+
"learning_rate": 1.8236936140701165e-05,
|
| 1811 |
+
"loss": 1.3934,
|
| 1812 |
+
"step": 2660
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 1.77,
|
| 1816 |
+
"learning_rate": 1.807018763664524e-05,
|
| 1817 |
+
"loss": 1.368,
|
| 1818 |
+
"step": 2670
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 1.77,
|
| 1822 |
+
"learning_rate": 1.7903772423197806e-05,
|
| 1823 |
+
"loss": 1.3925,
|
| 1824 |
+
"step": 2680
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 1.78,
|
| 1828 |
+
"learning_rate": 1.773769850412937e-05,
|
| 1829 |
+
"loss": 1.3786,
|
| 1830 |
+
"step": 2690
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 1.79,
|
| 1834 |
+
"learning_rate": 1.7571973866795815e-05,
|
| 1835 |
+
"loss": 1.4204,
|
| 1836 |
+
"step": 2700
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 1.79,
|
| 1840 |
+
"eval_loss": 1.4035720825195312,
|
| 1841 |
+
"eval_runtime": 19.9322,
|
| 1842 |
+
"eval_samples_per_second": 24.533,
|
| 1843 |
+
"eval_steps_per_second": 6.171,
|
| 1844 |
+
"step": 2700
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 1.79,
|
| 1848 |
+
"learning_rate": 1.7406606481754258e-05,
|
| 1849 |
+
"loss": 1.3907,
|
| 1850 |
+
"step": 2710
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 1.8,
|
| 1854 |
+
"learning_rate": 1.724160430237967e-05,
|
| 1855 |
+
"loss": 1.3598,
|
| 1856 |
+
"step": 2720
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 1.81,
|
| 1860 |
+
"learning_rate": 1.7076975264482434e-05,
|
| 1861 |
+
"loss": 1.4157,
|
| 1862 |
+
"step": 2730
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 1.81,
|
| 1866 |
+
"learning_rate": 1.6912727285926605e-05,
|
| 1867 |
+
"loss": 1.3922,
|
| 1868 |
+
"step": 2740
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 1.82,
|
| 1872 |
+
"learning_rate": 1.6748868266249114e-05,
|
| 1873 |
+
"loss": 1.4413,
|
| 1874 |
+
"step": 2750
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 1.83,
|
| 1878 |
+
"learning_rate": 1.658540608627985e-05,
|
| 1879 |
+
"loss": 1.4219,
|
| 1880 |
+
"step": 2760
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 1.83,
|
| 1884 |
+
"learning_rate": 1.642234860776261e-05,
|
| 1885 |
+
"loss": 1.3447,
|
| 1886 |
+
"step": 2770
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 1.84,
|
| 1890 |
+
"learning_rate": 1.6259703672977022e-05,
|
| 1891 |
+
"loss": 1.4383,
|
| 1892 |
+
"step": 2780
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 1.85,
|
| 1896 |
+
"learning_rate": 1.6097479104361326e-05,
|
| 1897 |
+
"loss": 1.3562,
|
| 1898 |
+
"step": 2790
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 1.85,
|
| 1902 |
+
"learning_rate": 1.5935682704136183e-05,
|
| 1903 |
+
"loss": 1.3865,
|
| 1904 |
+
"step": 2800
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 1.85,
|
| 1908 |
+
"eval_loss": 1.40265691280365,
|
| 1909 |
+
"eval_runtime": 19.9442,
|
| 1910 |
+
"eval_samples_per_second": 24.518,
|
| 1911 |
+
"eval_steps_per_second": 6.167,
|
| 1912 |
+
"step": 2800
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"epoch": 1.86,
|
| 1916 |
+
"learning_rate": 1.5774322253929425e-05,
|
| 1917 |
+
"loss": 1.3875,
|
| 1918 |
+
"step": 2810
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 1.87,
|
| 1922 |
+
"learning_rate": 1.561340551440176e-05,
|
| 1923 |
+
"loss": 1.4282,
|
| 1924 |
+
"step": 2820
|
| 1925 |
+
},
|
| 1926 |
+
{
|
| 1927 |
+
"epoch": 1.87,
|
| 1928 |
+
"learning_rate": 1.5452940224873568e-05,
|
| 1929 |
+
"loss": 1.401,
|
| 1930 |
+
"step": 2830
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"epoch": 1.88,
|
| 1934 |
+
"learning_rate": 1.529293410295266e-05,
|
| 1935 |
+
"loss": 1.3645,
|
| 1936 |
+
"step": 2840
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 1.89,
|
| 1940 |
+
"learning_rate": 1.5133394844163093e-05,
|
| 1941 |
+
"loss": 1.3877,
|
| 1942 |
+
"step": 2850
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 1.89,
|
| 1946 |
+
"learning_rate": 1.4974330121575048e-05,
|
| 1947 |
+
"loss": 1.4026,
|
| 1948 |
+
"step": 2860
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 1.9,
|
| 1952 |
+
"learning_rate": 1.4815747585435801e-05,
|
| 1953 |
+
"loss": 1.4235,
|
| 1954 |
+
"step": 2870
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 1.91,
|
| 1958 |
+
"learning_rate": 1.4657654862801798e-05,
|
| 1959 |
+
"loss": 1.3623,
|
| 1960 |
+
"step": 2880
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 1.91,
|
| 1964 |
+
"learning_rate": 1.4500059557171791e-05,
|
| 1965 |
+
"loss": 1.3823,
|
| 1966 |
+
"step": 2890
|
| 1967 |
+
},
|
| 1968 |
+
{
|
| 1969 |
+
"epoch": 1.92,
|
| 1970 |
+
"learning_rate": 1.4342969248121185e-05,
|
| 1971 |
+
"loss": 1.3717,
|
| 1972 |
+
"step": 2900
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 1.92,
|
| 1976 |
+
"eval_loss": 1.4025269746780396,
|
| 1977 |
+
"eval_runtime": 19.9411,
|
| 1978 |
+
"eval_samples_per_second": 24.522,
|
| 1979 |
+
"eval_steps_per_second": 6.168,
|
| 1980 |
+
"step": 2900
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"epoch": 1.93,
|
| 1984 |
+
"learning_rate": 1.4186391490937481e-05,
|
| 1985 |
+
"loss": 1.434,
|
| 1986 |
+
"step": 2910
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 1.93,
|
| 1990 |
+
"learning_rate": 1.403033381625688e-05,
|
| 1991 |
+
"loss": 1.3688,
|
| 1992 |
+
"step": 2920
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"epoch": 1.94,
|
| 1996 |
+
"learning_rate": 1.3874803729702141e-05,
|
| 1997 |
+
"loss": 1.3404,
|
| 1998 |
+
"step": 2930
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 1.95,
|
| 2002 |
+
"learning_rate": 1.3719808711521573e-05,
|
| 2003 |
+
"loss": 1.3956,
|
| 2004 |
+
"step": 2940
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 1.95,
|
| 2008 |
+
"learning_rate": 1.3565356216229268e-05,
|
| 2009 |
+
"loss": 1.366,
|
| 2010 |
+
"step": 2950
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 1.96,
|
| 2014 |
+
"learning_rate": 1.341145367224657e-05,
|
| 2015 |
+
"loss": 1.4425,
|
| 2016 |
+
"step": 2960
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 1.97,
|
| 2020 |
+
"learning_rate": 1.3258108481544849e-05,
|
| 2021 |
+
"loss": 1.3728,
|
| 2022 |
+
"step": 2970
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 1.97,
|
| 2026 |
+
"learning_rate": 1.310532801928942e-05,
|
| 2027 |
+
"loss": 1.4581,
|
| 2028 |
+
"step": 2980
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 1.98,
|
| 2032 |
+
"learning_rate": 1.2953119633484903e-05,
|
| 2033 |
+
"loss": 1.3678,
|
| 2034 |
+
"step": 2990
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 1.99,
|
| 2038 |
+
"learning_rate": 1.2801490644621789e-05,
|
| 2039 |
+
"loss": 1.4091,
|
| 2040 |
+
"step": 3000
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 1.99,
|
| 2044 |
+
"eval_loss": 1.4022454023361206,
|
| 2045 |
+
"eval_runtime": 19.9582,
|
| 2046 |
+
"eval_samples_per_second": 24.501,
|
| 2047 |
+
"eval_steps_per_second": 6.163,
|
| 2048 |
+
"step": 3000
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 1.99,
|
| 2052 |
+
"learning_rate": 1.2650448345324384e-05,
|
| 2053 |
+
"loss": 1.3642,
|
| 2054 |
+
"step": 3010
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 2.0,
|
| 2058 |
+
"learning_rate": 1.2500000000000006e-05,
|
| 2059 |
+
"loss": 1.3949,
|
| 2060 |
+
"step": 3020
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 2.01,
|
| 2064 |
+
"learning_rate": 1.235015284448969e-05,
|
| 2065 |
+
"loss": 1.3507,
|
| 2066 |
+
"step": 3030
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 2.01,
|
| 2070 |
+
"learning_rate": 1.2200914085720119e-05,
|
| 2071 |
+
"loss": 1.3553,
|
| 2072 |
+
"step": 3040
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 2.02,
|
| 2076 |
+
"learning_rate": 1.2052290901357025e-05,
|
| 2077 |
+
"loss": 1.4108,
|
| 2078 |
+
"step": 3050
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 2.03,
|
| 2082 |
+
"learning_rate": 1.1904290439459973e-05,
|
| 2083 |
+
"loss": 1.3549,
|
| 2084 |
+
"step": 3060
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 2.03,
|
| 2088 |
+
"learning_rate": 1.175691981813858e-05,
|
| 2089 |
+
"loss": 1.3371,
|
| 2090 |
+
"step": 3070
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 2.04,
|
| 2094 |
+
"learning_rate": 1.1610186125210151e-05,
|
| 2095 |
+
"loss": 1.3775,
|
| 2096 |
+
"step": 3080
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 2.05,
|
| 2100 |
+
"learning_rate": 1.1464096417858822e-05,
|
| 2101 |
+
"loss": 1.3884,
|
| 2102 |
+
"step": 3090
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 2.05,
|
| 2106 |
+
"learning_rate": 1.1318657722296097e-05,
|
| 2107 |
+
"loss": 1.3516,
|
| 2108 |
+
"step": 3100
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 2.05,
|
| 2112 |
+
"eval_loss": 1.4020849466323853,
|
| 2113 |
+
"eval_runtime": 19.9491,
|
| 2114 |
+
"eval_samples_per_second": 24.512,
|
| 2115 |
+
"eval_steps_per_second": 6.166,
|
| 2116 |
+
"step": 3100
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 2.06,
|
| 2120 |
+
"learning_rate": 1.1173877033422994e-05,
|
| 2121 |
+
"loss": 1.405,
|
| 2122 |
+
"step": 3110
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"epoch": 2.07,
|
| 2126 |
+
"learning_rate": 1.102976131449352e-05,
|
| 2127 |
+
"loss": 1.3909,
|
| 2128 |
+
"step": 3120
|
| 2129 |
+
},
|
| 2130 |
+
{
|
| 2131 |
+
"epoch": 2.07,
|
| 2132 |
+
"learning_rate": 1.0886317496779863e-05,
|
| 2133 |
+
"loss": 1.4057,
|
| 2134 |
+
"step": 3130
|
| 2135 |
+
},
|
| 2136 |
+
{
|
| 2137 |
+
"epoch": 2.08,
|
| 2138 |
+
"learning_rate": 1.0743552479238994e-05,
|
| 2139 |
+
"loss": 1.3807,
|
| 2140 |
+
"step": 3140
|
| 2141 |
+
},
|
| 2142 |
+
{
|
| 2143 |
+
"epoch": 2.09,
|
| 2144 |
+
"learning_rate": 1.0601473128180855e-05,
|
| 2145 |
+
"loss": 1.3804,
|
| 2146 |
+
"step": 3150
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"epoch": 2.09,
|
| 2150 |
+
"learning_rate": 1.0460086276938144e-05,
|
| 2151 |
+
"loss": 1.3368,
|
| 2152 |
+
"step": 3160
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 2.1,
|
| 2156 |
+
"learning_rate": 1.0319398725537644e-05,
|
| 2157 |
+
"loss": 1.3465,
|
| 2158 |
+
"step": 3170
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 2.11,
|
| 2162 |
+
"learning_rate": 1.0179417240373183e-05,
|
| 2163 |
+
"loss": 1.3716,
|
| 2164 |
+
"step": 3180
|
| 2165 |
+
},
|
| 2166 |
+
{
|
| 2167 |
+
"epoch": 2.11,
|
| 2168 |
+
"learning_rate": 1.0040148553880205e-05,
|
| 2169 |
+
"loss": 1.3833,
|
| 2170 |
+
"step": 3190
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 2.12,
|
| 2174 |
+
"learning_rate": 9.90159936421197e-06,
|
| 2175 |
+
"loss": 1.3893,
|
| 2176 |
+
"step": 3200
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 2.12,
|
| 2180 |
+
"eval_loss": 1.4016104936599731,
|
| 2181 |
+
"eval_runtime": 19.9587,
|
| 2182 |
+
"eval_samples_per_second": 24.501,
|
| 2183 |
+
"eval_steps_per_second": 6.163,
|
| 2184 |
+
"step": 3200
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 2.13,
|
| 2188 |
+
"learning_rate": 9.763776334917399e-06,
|
| 2189 |
+
"loss": 1.4088,
|
| 2190 |
+
"step": 3210
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 2.13,
|
| 2194 |
+
"learning_rate": 9.626686094620608e-06,
|
| 2195 |
+
"loss": 1.402,
|
| 2196 |
+
"step": 3220
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"epoch": 2.14,
|
| 2200 |
+
"learning_rate": 9.490335236702075e-06,
|
| 2201 |
+
"loss": 1.3151,
|
| 2202 |
+
"step": 3230
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"epoch": 2.15,
|
| 2206 |
+
"learning_rate": 9.354730318981562e-06,
|
| 2207 |
+
"loss": 1.4126,
|
| 2208 |
+
"step": 3240
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 2.15,
|
| 2212 |
+
"learning_rate": 9.219877863402682e-06,
|
| 2213 |
+
"loss": 1.431,
|
| 2214 |
+
"step": 3250
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 2.16,
|
| 2218 |
+
"learning_rate": 9.085784355719257e-06,
|
| 2219 |
+
"loss": 1.3843,
|
| 2220 |
+
"step": 3260
|
| 2221 |
+
},
|
| 2222 |
+
{
|
| 2223 |
+
"epoch": 2.17,
|
| 2224 |
+
"learning_rate": 8.95245624518336e-06,
|
| 2225 |
+
"loss": 1.3513,
|
| 2226 |
+
"step": 3270
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 2.17,
|
| 2230 |
+
"learning_rate": 8.819899944235152e-06,
|
| 2231 |
+
"loss": 1.362,
|
| 2232 |
+
"step": 3280
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"epoch": 2.18,
|
| 2236 |
+
"learning_rate": 8.688121828194462e-06,
|
| 2237 |
+
"loss": 1.3979,
|
| 2238 |
+
"step": 3290
|
| 2239 |
+
},
|
| 2240 |
+
{
|
| 2241 |
+
"epoch": 2.18,
|
| 2242 |
+
"learning_rate": 8.55712823495419e-06,
|
| 2243 |
+
"loss": 1.3949,
|
| 2244 |
+
"step": 3300
|
| 2245 |
+
},
|
| 2246 |
+
{
|
| 2247 |
+
"epoch": 2.18,
|
| 2248 |
+
"eval_loss": 1.4013094902038574,
|
| 2249 |
+
"eval_runtime": 19.9488,
|
| 2250 |
+
"eval_samples_per_second": 24.513,
|
| 2251 |
+
"eval_steps_per_second": 6.166,
|
| 2252 |
+
"step": 3300
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 2.19,
|
| 2256 |
+
"learning_rate": 8.426925464675433e-06,
|
| 2257 |
+
"loss": 1.3912,
|
| 2258 |
+
"step": 3310
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 2.2,
|
| 2262 |
+
"learning_rate": 8.297519779484541e-06,
|
| 2263 |
+
"loss": 1.35,
|
| 2264 |
+
"step": 3320
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 2.2,
|
| 2268 |
+
"learning_rate": 8.168917403171891e-06,
|
| 2269 |
+
"loss": 1.3528,
|
| 2270 |
+
"step": 3330
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 2.21,
|
| 2274 |
+
"learning_rate": 8.041124520892598e-06,
|
| 2275 |
+
"loss": 1.3743,
|
| 2276 |
+
"step": 3340
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 2.22,
|
| 2280 |
+
"learning_rate": 7.91414727886898e-06,
|
| 2281 |
+
"loss": 1.3708,
|
| 2282 |
+
"step": 3350
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 2.22,
|
| 2286 |
+
"learning_rate": 7.787991784095e-06,
|
| 2287 |
+
"loss": 1.4525,
|
| 2288 |
+
"step": 3360
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 2.23,
|
| 2292 |
+
"learning_rate": 7.662664104042538e-06,
|
| 2293 |
+
"loss": 1.3708,
|
| 2294 |
+
"step": 3370
|
| 2295 |
+
},
|
| 2296 |
+
{
|
| 2297 |
+
"epoch": 2.24,
|
| 2298 |
+
"learning_rate": 7.538170266369563e-06,
|
| 2299 |
+
"loss": 1.3871,
|
| 2300 |
+
"step": 3380
|
| 2301 |
+
},
|
| 2302 |
+
{
|
| 2303 |
+
"epoch": 2.24,
|
| 2304 |
+
"learning_rate": 7.414516258630244e-06,
|
| 2305 |
+
"loss": 1.3853,
|
| 2306 |
+
"step": 3390
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 2.25,
|
| 2310 |
+
"learning_rate": 7.291708027986988e-06,
|
| 2311 |
+
"loss": 1.3861,
|
| 2312 |
+
"step": 3400
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 2.25,
|
| 2316 |
+
"eval_loss": 1.4008599519729614,
|
| 2317 |
+
"eval_runtime": 19.9567,
|
| 2318 |
+
"eval_samples_per_second": 24.503,
|
| 2319 |
+
"eval_steps_per_second": 6.163,
|
| 2320 |
+
"step": 3400
|
| 2321 |
+
},
|
| 2322 |
+
{
|
| 2323 |
+
"epoch": 2.26,
|
| 2324 |
+
"learning_rate": 7.169751480924361e-06,
|
| 2325 |
+
"loss": 1.3738,
|
| 2326 |
+
"step": 3410
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 2.26,
|
| 2330 |
+
"learning_rate": 7.048652482965079e-06,
|
| 2331 |
+
"loss": 1.3908,
|
| 2332 |
+
"step": 3420
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"epoch": 2.27,
|
| 2336 |
+
"learning_rate": 6.928416858387874e-06,
|
| 2337 |
+
"loss": 1.3652,
|
| 2338 |
+
"step": 3430
|
| 2339 |
+
},
|
| 2340 |
+
{
|
| 2341 |
+
"epoch": 2.28,
|
| 2342 |
+
"learning_rate": 6.809050389947363e-06,
|
| 2343 |
+
"loss": 1.3673,
|
| 2344 |
+
"step": 3440
|
| 2345 |
+
},
|
| 2346 |
+
{
|
| 2347 |
+
"epoch": 2.28,
|
| 2348 |
+
"learning_rate": 6.690558818595943e-06,
|
| 2349 |
+
"loss": 1.395,
|
| 2350 |
+
"step": 3450
|
| 2351 |
+
},
|
| 2352 |
+
{
|
| 2353 |
+
"epoch": 2.29,
|
| 2354 |
+
"learning_rate": 6.5729478432076775e-06,
|
| 2355 |
+
"loss": 1.3734,
|
| 2356 |
+
"step": 3460
|
| 2357 |
+
},
|
| 2358 |
+
{
|
| 2359 |
+
"epoch": 2.3,
|
| 2360 |
+
"learning_rate": 6.456223120304192e-06,
|
| 2361 |
+
"loss": 1.4366,
|
| 2362 |
+
"step": 3470
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 2.3,
|
| 2366 |
+
"learning_rate": 6.340390263782655e-06,
|
| 2367 |
+
"loss": 1.4222,
|
| 2368 |
+
"step": 3480
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 2.31,
|
| 2372 |
+
"learning_rate": 6.22545484464574e-06,
|
| 2373 |
+
"loss": 1.3545,
|
| 2374 |
+
"step": 3490
|
| 2375 |
+
},
|
| 2376 |
+
{
|
| 2377 |
+
"epoch": 2.32,
|
| 2378 |
+
"learning_rate": 6.111422390733715e-06,
|
| 2379 |
+
"loss": 1.3581,
|
| 2380 |
+
"step": 3500
|
| 2381 |
+
},
|
| 2382 |
+
{
|
| 2383 |
+
"epoch": 2.32,
|
| 2384 |
+
"eval_loss": 1.4005074501037598,
|
| 2385 |
+
"eval_runtime": 19.9485,
|
| 2386 |
+
"eval_samples_per_second": 24.513,
|
| 2387 |
+
"eval_steps_per_second": 6.166,
|
| 2388 |
+
"step": 3500
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 2.32,
|
| 2392 |
+
"learning_rate": 5.998298386458545e-06,
|
| 2393 |
+
"loss": 1.4052,
|
| 2394 |
+
"step": 3510
|
| 2395 |
+
},
|
| 2396 |
+
{
|
| 2397 |
+
"epoch": 2.33,
|
| 2398 |
+
"learning_rate": 5.8860882725401665e-06,
|
| 2399 |
+
"loss": 1.3886,
|
| 2400 |
+
"step": 3520
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 2.34,
|
| 2404 |
+
"learning_rate": 5.774797445744781e-06,
|
| 2405 |
+
"loss": 1.3818,
|
| 2406 |
+
"step": 3530
|
| 2407 |
+
},
|
| 2408 |
+
{
|
| 2409 |
+
"epoch": 2.34,
|
| 2410 |
+
"learning_rate": 5.664431258625305e-06,
|
| 2411 |
+
"loss": 1.3817,
|
| 2412 |
+
"step": 3540
|
| 2413 |
+
},
|
| 2414 |
+
{
|
| 2415 |
+
"epoch": 2.35,
|
| 2416 |
+
"learning_rate": 5.55499501926394e-06,
|
| 2417 |
+
"loss": 1.3617,
|
| 2418 |
+
"step": 3550
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 2.36,
|
| 2422 |
+
"learning_rate": 5.446493991016879e-06,
|
| 2423 |
+
"loss": 1.3768,
|
| 2424 |
+
"step": 3560
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 2.36,
|
| 2428 |
+
"learning_rate": 5.338933392261159e-06,
|
| 2429 |
+
"loss": 1.3755,
|
| 2430 |
+
"step": 3570
|
| 2431 |
+
},
|
| 2432 |
+
{
|
| 2433 |
+
"epoch": 2.37,
|
| 2434 |
+
"learning_rate": 5.23231839614369e-06,
|
| 2435 |
+
"loss": 1.3823,
|
| 2436 |
+
"step": 3580
|
| 2437 |
+
},
|
| 2438 |
+
{
|
| 2439 |
+
"epoch": 2.38,
|
| 2440 |
+
"learning_rate": 5.126654130332451e-06,
|
| 2441 |
+
"loss": 1.3883,
|
| 2442 |
+
"step": 3590
|
| 2443 |
+
},
|
| 2444 |
+
{
|
| 2445 |
+
"epoch": 2.38,
|
| 2446 |
+
"learning_rate": 5.02194567676986e-06,
|
| 2447 |
+
"loss": 1.3988,
|
| 2448 |
+
"step": 3600
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 2.38,
|
| 2452 |
+
"eval_loss": 1.4005191326141357,
|
| 2453 |
+
"eval_runtime": 19.9633,
|
| 2454 |
+
"eval_samples_per_second": 24.495,
|
| 2455 |
+
"eval_steps_per_second": 6.161,
|
| 2456 |
+
"step": 3600
|
| 2457 |
+
},
|
| 2458 |
+
{
|
| 2459 |
+
"epoch": 2.39,
|
| 2460 |
+
"learning_rate": 4.918198071428382e-06,
|
| 2461 |
+
"loss": 1.3838,
|
| 2462 |
+
"step": 3610
|
| 2463 |
+
},
|
| 2464 |
+
{
|
| 2465 |
+
"epoch": 2.4,
|
| 2466 |
+
"learning_rate": 4.815416304068298e-06,
|
| 2467 |
+
"loss": 1.4422,
|
| 2468 |
+
"step": 3620
|
| 2469 |
+
},
|
| 2470 |
+
{
|
| 2471 |
+
"epoch": 2.4,
|
| 2472 |
+
"learning_rate": 4.713605317997741e-06,
|
| 2473 |
+
"loss": 1.3834,
|
| 2474 |
+
"step": 3630
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 2.41,
|
| 2478 |
+
"learning_rate": 4.61277000983493e-06,
|
| 2479 |
+
"loss": 1.3743,
|
| 2480 |
+
"step": 3640
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 2.42,
|
| 2484 |
+
"learning_rate": 4.51291522927268e-06,
|
| 2485 |
+
"loss": 1.451,
|
| 2486 |
+
"step": 3650
|
| 2487 |
+
},
|
| 2488 |
+
{
|
| 2489 |
+
"epoch": 2.42,
|
| 2490 |
+
"learning_rate": 4.414045778845144e-06,
|
| 2491 |
+
"loss": 1.3644,
|
| 2492 |
+
"step": 3660
|
| 2493 |
+
},
|
| 2494 |
+
{
|
| 2495 |
+
"epoch": 2.43,
|
| 2496 |
+
"learning_rate": 4.316166413696851e-06,
|
| 2497 |
+
"loss": 1.3944,
|
| 2498 |
+
"step": 3670
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 2.44,
|
| 2502 |
+
"learning_rate": 4.219281841353981e-06,
|
| 2503 |
+
"loss": 1.3514,
|
| 2504 |
+
"step": 3680
|
| 2505 |
+
},
|
| 2506 |
+
{
|
| 2507 |
+
"epoch": 2.44,
|
| 2508 |
+
"learning_rate": 4.123396721497977e-06,
|
| 2509 |
+
"loss": 1.3389,
|
| 2510 |
+
"step": 3690
|
| 2511 |
+
},
|
| 2512 |
+
{
|
| 2513 |
+
"epoch": 2.45,
|
| 2514 |
+
"learning_rate": 4.028515665741439e-06,
|
| 2515 |
+
"loss": 1.3792,
|
| 2516 |
+
"step": 3700
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 2.45,
|
| 2520 |
+
"eval_loss": 1.400659203529358,
|
| 2521 |
+
"eval_runtime": 19.9466,
|
| 2522 |
+
"eval_samples_per_second": 24.515,
|
| 2523 |
+
"eval_steps_per_second": 6.166,
|
| 2524 |
+
"step": 3700
|
| 2525 |
+
},
|
| 2526 |
+
{
|
| 2527 |
+
"epoch": 2.46,
|
| 2528 |
+
"learning_rate": 3.934643237406291e-06,
|
| 2529 |
+
"loss": 1.3686,
|
| 2530 |
+
"step": 3710
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 2.46,
|
| 2534 |
+
"learning_rate": 3.8417839513043645e-06,
|
| 2535 |
+
"loss": 1.3424,
|
| 2536 |
+
"step": 3720
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 2.47,
|
| 2540 |
+
"learning_rate": 3.7499422735202127e-06,
|
| 2541 |
+
"loss": 1.3684,
|
| 2542 |
+
"step": 3730
|
| 2543 |
+
},
|
| 2544 |
+
{
|
| 2545 |
+
"epoch": 2.48,
|
| 2546 |
+
"learning_rate": 3.6591226211963287e-06,
|
| 2547 |
+
"loss": 1.3868,
|
| 2548 |
+
"step": 3740
|
| 2549 |
+
},
|
| 2550 |
+
{
|
| 2551 |
+
"epoch": 2.48,
|
| 2552 |
+
"learning_rate": 3.5693293623207086e-06,
|
| 2553 |
+
"loss": 1.368,
|
| 2554 |
+
"step": 3750
|
| 2555 |
+
},
|
| 2556 |
+
{
|
| 2557 |
+
"epoch": 2.49,
|
| 2558 |
+
"learning_rate": 3.480566815516756e-06,
|
| 2559 |
+
"loss": 1.3027,
|
| 2560 |
+
"step": 3760
|
| 2561 |
+
},
|
| 2562 |
+
{
|
| 2563 |
+
"epoch": 2.5,
|
| 2564 |
+
"learning_rate": 3.3928392498355916e-06,
|
| 2565 |
+
"loss": 1.4223,
|
| 2566 |
+
"step": 3770
|
| 2567 |
+
},
|
| 2568 |
+
{
|
| 2569 |
+
"epoch": 2.5,
|
| 2570 |
+
"learning_rate": 3.3061508845507323e-06,
|
| 2571 |
+
"loss": 1.3674,
|
| 2572 |
+
"step": 3780
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 2.51,
|
| 2576 |
+
"learning_rate": 3.22050588895515e-06,
|
| 2577 |
+
"loss": 1.3848,
|
| 2578 |
+
"step": 3790
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 2.52,
|
| 2582 |
+
"learning_rate": 3.135908382160771e-06,
|
| 2583 |
+
"loss": 1.4191,
|
| 2584 |
+
"step": 3800
|
| 2585 |
+
},
|
| 2586 |
+
{
|
| 2587 |
+
"epoch": 2.52,
|
| 2588 |
+
"eval_loss": 1.4003913402557373,
|
| 2589 |
+
"eval_runtime": 19.9553,
|
| 2590 |
+
"eval_samples_per_second": 24.505,
|
| 2591 |
+
"eval_steps_per_second": 6.164,
|
| 2592 |
+
"step": 3800
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 2.52,
|
| 2596 |
+
"learning_rate": 3.0523624329003324e-06,
|
| 2597 |
+
"loss": 1.3796,
|
| 2598 |
+
"step": 3810
|
| 2599 |
+
},
|
| 2600 |
+
{
|
| 2601 |
+
"epoch": 2.53,
|
| 2602 |
+
"learning_rate": 2.969872059331738e-06,
|
| 2603 |
+
"loss": 1.4101,
|
| 2604 |
+
"step": 3820
|
| 2605 |
+
},
|
| 2606 |
+
{
|
| 2607 |
+
"epoch": 2.54,
|
| 2608 |
+
"learning_rate": 2.8884412288447737e-06,
|
| 2609 |
+
"loss": 1.379,
|
| 2610 |
+
"step": 3830
|
| 2611 |
+
},
|
| 2612 |
+
{
|
| 2613 |
+
"epoch": 2.54,
|
| 2614 |
+
"learning_rate": 2.8080738578703054e-06,
|
| 2615 |
+
"loss": 1.3881,
|
| 2616 |
+
"step": 3840
|
| 2617 |
+
},
|
| 2618 |
+
{
|
| 2619 |
+
"epoch": 2.55,
|
| 2620 |
+
"learning_rate": 2.728773811691923e-06,
|
| 2621 |
+
"loss": 1.3464,
|
| 2622 |
+
"step": 3850
|
| 2623 |
+
},
|
| 2624 |
+
{
|
| 2625 |
+
"epoch": 2.56,
|
| 2626 |
+
"learning_rate": 2.6505449042600244e-06,
|
| 2627 |
+
"loss": 1.367,
|
| 2628 |
+
"step": 3860
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 2.56,
|
| 2632 |
+
"learning_rate": 2.5733908980083988e-06,
|
| 2633 |
+
"loss": 1.3498,
|
| 2634 |
+
"step": 3870
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 2.57,
|
| 2638 |
+
"learning_rate": 2.4973155036732534e-06,
|
| 2639 |
+
"loss": 1.3895,
|
| 2640 |
+
"step": 3880
|
| 2641 |
+
},
|
| 2642 |
+
{
|
| 2643 |
+
"epoch": 2.58,
|
| 2644 |
+
"learning_rate": 2.422322380114772e-06,
|
| 2645 |
+
"loss": 1.4072,
|
| 2646 |
+
"step": 3890
|
| 2647 |
+
},
|
| 2648 |
+
{
|
| 2649 |
+
"epoch": 2.58,
|
| 2650 |
+
"learning_rate": 2.348415134141102e-06,
|
| 2651 |
+
"loss": 1.347,
|
| 2652 |
+
"step": 3900
|
| 2653 |
+
},
|
| 2654 |
+
{
|
| 2655 |
+
"epoch": 2.58,
|
| 2656 |
+
"eval_loss": 1.400329351425171,
|
| 2657 |
+
"eval_runtime": 19.9385,
|
| 2658 |
+
"eval_samples_per_second": 24.525,
|
| 2659 |
+
"eval_steps_per_second": 6.169,
|
| 2660 |
+
"step": 3900
|
| 2661 |
+
},
|
| 2662 |
+
{
|
| 2663 |
+
"epoch": 2.59,
|
| 2664 |
+
"learning_rate": 2.2755973203349294e-06,
|
| 2665 |
+
"loss": 1.3605,
|
| 2666 |
+
"step": 3910
|
| 2667 |
+
},
|
| 2668 |
+
{
|
| 2669 |
+
"epoch": 2.6,
|
| 2670 |
+
"learning_rate": 2.2038724408824844e-06,
|
| 2671 |
+
"loss": 1.3105,
|
| 2672 |
+
"step": 3920
|
| 2673 |
+
},
|
| 2674 |
+
{
|
| 2675 |
+
"epoch": 2.6,
|
| 2676 |
+
"learning_rate": 2.133243945405128e-06,
|
| 2677 |
+
"loss": 1.3718,
|
| 2678 |
+
"step": 3930
|
| 2679 |
+
},
|
| 2680 |
+
{
|
| 2681 |
+
"epoch": 2.61,
|
| 2682 |
+
"learning_rate": 2.0637152307934228e-06,
|
| 2683 |
+
"loss": 1.3293,
|
| 2684 |
+
"step": 3940
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 2.62,
|
| 2688 |
+
"learning_rate": 1.995289641043768e-06,
|
| 2689 |
+
"loss": 1.3677,
|
| 2690 |
+
"step": 3950
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 2.62,
|
| 2694 |
+
"learning_rate": 1.927970467097573e-06,
|
| 2695 |
+
"loss": 1.409,
|
| 2696 |
+
"step": 3960
|
| 2697 |
+
},
|
| 2698 |
+
{
|
| 2699 |
+
"epoch": 2.63,
|
| 2700 |
+
"learning_rate": 1.8617609466829666e-06,
|
| 2701 |
+
"loss": 1.3973,
|
| 2702 |
+
"step": 3970
|
| 2703 |
+
},
|
| 2704 |
+
{
|
| 2705 |
+
"epoch": 2.64,
|
| 2706 |
+
"learning_rate": 1.7966642641590925e-06,
|
| 2707 |
+
"loss": 1.3991,
|
| 2708 |
+
"step": 3980
|
| 2709 |
+
},
|
| 2710 |
+
{
|
| 2711 |
+
"epoch": 2.64,
|
| 2712 |
+
"learning_rate": 1.732683550362954e-06,
|
| 2713 |
+
"loss": 1.3662,
|
| 2714 |
+
"step": 3990
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 2.65,
|
| 2718 |
+
"learning_rate": 1.6698218824588164e-06,
|
| 2719 |
+
"loss": 1.3871,
|
| 2720 |
+
"step": 4000
|
| 2721 |
+
},
|
| 2722 |
+
{
|
| 2723 |
+
"epoch": 2.65,
|
| 2724 |
+
"eval_loss": 1.4001953601837158,
|
| 2725 |
+
"eval_runtime": 19.9558,
|
| 2726 |
+
"eval_samples_per_second": 24.504,
|
| 2727 |
+
"eval_steps_per_second": 6.164,
|
| 2728 |
+
"step": 4000
|
| 2729 |
+
},
|
| 2730 |
+
{
|
| 2731 |
+
"epoch": 2.65,
|
| 2732 |
+
"learning_rate": 1.6080822837902382e-06,
|
| 2733 |
+
"loss": 1.4072,
|
| 2734 |
+
"step": 4010
|
| 2735 |
+
},
|
| 2736 |
+
{
|
| 2737 |
+
"epoch": 2.66,
|
| 2738 |
+
"learning_rate": 1.5474677237346468e-06,
|
| 2739 |
+
"loss": 1.3841,
|
| 2740 |
+
"step": 4020
|
| 2741 |
+
},
|
| 2742 |
+
{
|
| 2743 |
+
"epoch": 2.67,
|
| 2744 |
+
"learning_rate": 1.4879811175605302e-06,
|
| 2745 |
+
"loss": 1.3729,
|
| 2746 |
+
"step": 4030
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 2.67,
|
| 2750 |
+
"learning_rate": 1.4296253262872234e-06,
|
| 2751 |
+
"loss": 1.3648,
|
| 2752 |
+
"step": 4040
|
| 2753 |
+
},
|
| 2754 |
+
{
|
| 2755 |
+
"epoch": 2.68,
|
| 2756 |
+
"learning_rate": 1.3724031565473112e-06,
|
| 2757 |
+
"loss": 1.4043,
|
| 2758 |
+
"step": 4050
|
| 2759 |
+
},
|
| 2760 |
+
{
|
| 2761 |
+
"epoch": 2.69,
|
| 2762 |
+
"learning_rate": 1.316317360451641e-06,
|
| 2763 |
+
"loss": 1.4135,
|
| 2764 |
+
"step": 4060
|
| 2765 |
+
},
|
| 2766 |
+
{
|
| 2767 |
+
"epoch": 2.69,
|
| 2768 |
+
"learning_rate": 1.2613706354569571e-06,
|
| 2769 |
+
"loss": 1.399,
|
| 2770 |
+
"step": 4070
|
| 2771 |
+
},
|
| 2772 |
+
{
|
| 2773 |
+
"epoch": 2.7,
|
| 2774 |
+
"learning_rate": 1.2075656242361732e-06,
|
| 2775 |
+
"loss": 1.4024,
|
| 2776 |
+
"step": 4080
|
| 2777 |
+
},
|
| 2778 |
+
{
|
| 2779 |
+
"epoch": 2.71,
|
| 2780 |
+
"learning_rate": 1.1549049145512636e-06,
|
| 2781 |
+
"loss": 1.3668,
|
| 2782 |
+
"step": 4090
|
| 2783 |
+
},
|
| 2784 |
+
{
|
| 2785 |
+
"epoch": 2.71,
|
| 2786 |
+
"learning_rate": 1.1033910391288065e-06,
|
| 2787 |
+
"loss": 1.3692,
|
| 2788 |
+
"step": 4100
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 2.71,
|
| 2792 |
+
"eval_loss": 1.399943232536316,
|
| 2793 |
+
"eval_runtime": 19.9364,
|
| 2794 |
+
"eval_samples_per_second": 24.528,
|
| 2795 |
+
"eval_steps_per_second": 6.17,
|
| 2796 |
+
"step": 4100
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 2.72,
|
| 2800 |
+
"learning_rate": 1.0530264755381824e-06,
|
| 2801 |
+
"loss": 1.3908,
|
| 2802 |
+
"step": 4110
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 2.73,
|
| 2806 |
+
"learning_rate": 1.0038136460723963e-06,
|
| 2807 |
+
"loss": 1.3999,
|
| 2808 |
+
"step": 4120
|
| 2809 |
+
},
|
| 2810 |
+
{
|
| 2811 |
+
"epoch": 2.73,
|
| 2812 |
+
"learning_rate": 9.557549176315934e-07,
|
| 2813 |
+
"loss": 1.4098,
|
| 2814 |
+
"step": 4130
|
| 2815 |
+
},
|
| 2816 |
+
{
|
| 2817 |
+
"epoch": 2.74,
|
| 2818 |
+
"learning_rate": 9.088526016092142e-07,
|
| 2819 |
+
"loss": 1.3973,
|
| 2820 |
+
"step": 4140
|
| 2821 |
+
},
|
| 2822 |
+
{
|
| 2823 |
+
"epoch": 2.75,
|
| 2824 |
+
"learning_rate": 8.631089537808307e-07,
|
| 2825 |
+
"loss": 1.3758,
|
| 2826 |
+
"step": 4150
|
| 2827 |
+
},
|
| 2828 |
+
{
|
| 2829 |
+
"epoch": 2.75,
|
| 2830 |
+
"learning_rate": 8.185261741956551e-07,
|
| 2831 |
+
"loss": 1.3197,
|
| 2832 |
+
"step": 4160
|
| 2833 |
+
},
|
| 2834 |
+
{
|
| 2835 |
+
"epoch": 2.76,
|
| 2836 |
+
"learning_rate": 7.751064070707248e-07,
|
| 2837 |
+
"loss": 1.3794,
|
| 2838 |
+
"step": 4170
|
| 2839 |
+
},
|
| 2840 |
+
{
|
| 2841 |
+
"epoch": 2.77,
|
| 2842 |
+
"learning_rate": 7.328517406877761e-07,
|
| 2843 |
+
"loss": 1.3764,
|
| 2844 |
+
"step": 4180
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 2.77,
|
| 2848 |
+
"learning_rate": 6.917642072928137e-07,
|
| 2849 |
+
"loss": 1.4063,
|
| 2850 |
+
"step": 4190
|
| 2851 |
+
},
|
| 2852 |
+
{
|
| 2853 |
+
"epoch": 2.78,
|
| 2854 |
+
"learning_rate": 6.51845782998356e-07,
|
| 2855 |
+
"loss": 1.3959,
|
| 2856 |
+
"step": 4200
|
| 2857 |
+
},
|
| 2858 |
+
{
|
| 2859 |
+
"epoch": 2.78,
|
| 2860 |
+
"eval_loss": 1.3998632431030273,
|
| 2861 |
+
"eval_runtime": 19.9527,
|
| 2862 |
+
"eval_samples_per_second": 24.508,
|
| 2863 |
+
"eval_steps_per_second": 6.165,
|
| 2864 |
+
"step": 4200
|
| 2865 |
+
},
|
| 2866 |
+
{
|
| 2867 |
+
"epoch": 2.79,
|
| 2868 |
+
"learning_rate": 6.130983876884155e-07,
|
| 2869 |
+
"loss": 1.3767,
|
| 2870 |
+
"step": 4210
|
| 2871 |
+
},
|
| 2872 |
+
{
|
| 2873 |
+
"epoch": 2.79,
|
| 2874 |
+
"learning_rate": 5.755238849261407e-07,
|
| 2875 |
+
"loss": 1.3619,
|
| 2876 |
+
"step": 4220
|
| 2877 |
+
},
|
| 2878 |
+
{
|
| 2879 |
+
"epoch": 2.8,
|
| 2880 |
+
"learning_rate": 5.391240818642007e-07,
|
| 2881 |
+
"loss": 1.3723,
|
| 2882 |
+
"step": 4230
|
| 2883 |
+
},
|
| 2884 |
+
{
|
| 2885 |
+
"epoch": 2.81,
|
| 2886 |
+
"learning_rate": 5.039007291578579e-07,
|
| 2887 |
+
"loss": 1.4262,
|
| 2888 |
+
"step": 4240
|
| 2889 |
+
},
|
| 2890 |
+
{
|
| 2891 |
+
"epoch": 2.81,
|
| 2892 |
+
"learning_rate": 4.698555208807853e-07,
|
| 2893 |
+
"loss": 1.3775,
|
| 2894 |
+
"step": 4250
|
| 2895 |
+
},
|
| 2896 |
+
{
|
| 2897 |
+
"epoch": 2.82,
|
| 2898 |
+
"learning_rate": 4.3699009444357344e-07,
|
| 2899 |
+
"loss": 1.4159,
|
| 2900 |
+
"step": 4260
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 2.83,
|
| 2904 |
+
"learning_rate": 4.0530603051499584e-07,
|
| 2905 |
+
"loss": 1.4007,
|
| 2906 |
+
"step": 4270
|
| 2907 |
+
},
|
| 2908 |
+
{
|
| 2909 |
+
"epoch": 2.83,
|
| 2910 |
+
"learning_rate": 3.7480485294596747e-07,
|
| 2911 |
+
"loss": 1.3898,
|
| 2912 |
+
"step": 4280
|
| 2913 |
+
},
|
| 2914 |
+
{
|
| 2915 |
+
"epoch": 2.84,
|
| 2916 |
+
"learning_rate": 3.454880286962781e-07,
|
| 2917 |
+
"loss": 1.4173,
|
| 2918 |
+
"step": 4290
|
| 2919 |
+
},
|
| 2920 |
+
{
|
| 2921 |
+
"epoch": 2.85,
|
| 2922 |
+
"learning_rate": 3.1735696776400703e-07,
|
| 2923 |
+
"loss": 1.3539,
|
| 2924 |
+
"step": 4300
|
| 2925 |
+
},
|
| 2926 |
+
{
|
| 2927 |
+
"epoch": 2.85,
|
| 2928 |
+
"eval_loss": 1.3998057842254639,
|
| 2929 |
+
"eval_runtime": 19.9318,
|
| 2930 |
+
"eval_samples_per_second": 24.534,
|
| 2931 |
+
"eval_steps_per_second": 6.171,
|
| 2932 |
+
"step": 4300
|
| 2933 |
+
},
|
| 2934 |
+
{
|
| 2935 |
+
"epoch": 2.85,
|
| 2936 |
+
"learning_rate": 2.9041302311774433e-07,
|
| 2937 |
+
"loss": 1.3803,
|
| 2938 |
+
"step": 4310
|
| 2939 |
+
},
|
| 2940 |
+
{
|
| 2941 |
+
"epoch": 2.86,
|
| 2942 |
+
"learning_rate": 2.646574906314925e-07,
|
| 2943 |
+
"loss": 1.4141,
|
| 2944 |
+
"step": 4320
|
| 2945 |
+
},
|
| 2946 |
+
{
|
| 2947 |
+
"epoch": 2.87,
|
| 2948 |
+
"learning_rate": 2.4009160902235816e-07,
|
| 2949 |
+
"loss": 1.3444,
|
| 2950 |
+
"step": 4330
|
| 2951 |
+
},
|
| 2952 |
+
{
|
| 2953 |
+
"epoch": 2.87,
|
| 2954 |
+
"learning_rate": 2.1671655979096094e-07,
|
| 2955 |
+
"loss": 1.3669,
|
| 2956 |
+
"step": 4340
|
| 2957 |
+
},
|
| 2958 |
+
{
|
| 2959 |
+
"epoch": 2.88,
|
| 2960 |
+
"learning_rate": 1.9453346716462317e-07,
|
| 2961 |
+
"loss": 1.3776,
|
| 2962 |
+
"step": 4350
|
| 2963 |
+
},
|
| 2964 |
+
{
|
| 2965 |
+
"epoch": 2.89,
|
| 2966 |
+
"learning_rate": 1.73543398043291e-07,
|
| 2967 |
+
"loss": 1.4048,
|
| 2968 |
+
"step": 4360
|
| 2969 |
+
},
|
| 2970 |
+
{
|
| 2971 |
+
"epoch": 2.89,
|
| 2972 |
+
"learning_rate": 1.537473619482227e-07,
|
| 2973 |
+
"loss": 1.3623,
|
| 2974 |
+
"step": 4370
|
| 2975 |
+
},
|
| 2976 |
+
{
|
| 2977 |
+
"epoch": 2.9,
|
| 2978 |
+
"learning_rate": 1.351463109734441e-07,
|
| 2979 |
+
"loss": 1.3861,
|
| 2980 |
+
"step": 4380
|
| 2981 |
+
},
|
| 2982 |
+
{
|
| 2983 |
+
"epoch": 2.91,
|
| 2984 |
+
"learning_rate": 1.1774113973994083e-07,
|
| 2985 |
+
"loss": 1.3323,
|
| 2986 |
+
"step": 4390
|
| 2987 |
+
},
|
| 2988 |
+
{
|
| 2989 |
+
"epoch": 2.91,
|
| 2990 |
+
"learning_rate": 1.0153268535264827e-07,
|
| 2991 |
+
"loss": 1.3646,
|
| 2992 |
+
"step": 4400
|
| 2993 |
+
},
|
| 2994 |
+
{
|
| 2995 |
+
"epoch": 2.91,
|
| 2996 |
+
"eval_loss": 1.3997734785079956,
|
| 2997 |
+
"eval_runtime": 19.9549,
|
| 2998 |
+
"eval_samples_per_second": 24.505,
|
| 2999 |
+
"eval_steps_per_second": 6.164,
|
| 3000 |
+
"step": 4400
|
| 3001 |
+
},
|
| 3002 |
+
{
|
| 3003 |
+
"epoch": 2.92,
|
| 3004 |
+
"learning_rate": 8.652172736017816e-08,
|
| 3005 |
+
"loss": 1.3963,
|
| 3006 |
+
"step": 4410
|
| 3007 |
+
},
|
| 3008 |
+
{
|
| 3009 |
+
"epoch": 2.93,
|
| 3010 |
+
"learning_rate": 7.270898771733481e-08,
|
| 3011 |
+
"loss": 1.3812,
|
| 3012 |
+
"step": 4420
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 2.93,
|
| 3016 |
+
"learning_rate": 6.00951307503872e-08,
|
| 3017 |
+
"loss": 1.375,
|
| 3018 |
+
"step": 4430
|
| 3019 |
+
},
|
| 3020 |
+
{
|
| 3021 |
+
"epoch": 2.94,
|
| 3022 |
+
"learning_rate": 4.868076312512515e-08,
|
| 3023 |
+
"loss": 1.4015,
|
| 3024 |
+
"step": 4440
|
| 3025 |
+
},
|
| 3026 |
+
{
|
| 3027 |
+
"epoch": 2.95,
|
| 3028 |
+
"learning_rate": 3.846643381766879e-08,
|
| 3029 |
+
"loss": 1.3795,
|
| 3030 |
+
"step": 4450
|
| 3031 |
+
},
|
| 3032 |
+
{
|
| 3033 |
+
"epoch": 2.95,
|
| 3034 |
+
"learning_rate": 2.94526340880813e-08,
|
| 3035 |
+
"loss": 1.4244,
|
| 3036 |
+
"step": 4460
|
| 3037 |
+
},
|
| 3038 |
+
{
|
| 3039 |
+
"epoch": 2.96,
|
| 3040 |
+
"learning_rate": 2.1639797456723952e-08,
|
| 3041 |
+
"loss": 1.3731,
|
| 3042 |
+
"step": 4470
|
| 3043 |
+
},
|
| 3044 |
+
{
|
| 3045 |
+
"epoch": 2.97,
|
| 3046 |
+
"learning_rate": 1.5028299683425562e-08,
|
| 3047 |
+
"loss": 1.4061,
|
| 3048 |
+
"step": 4480
|
| 3049 |
+
},
|
| 3050 |
+
{
|
| 3051 |
+
"epoch": 2.97,
|
| 3052 |
+
"learning_rate": 9.618458749391379e-09,
|
| 3053 |
+
"loss": 1.3842,
|
| 3054 |
+
"step": 4490
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 2.98,
|
| 3058 |
+
"learning_rate": 5.41053484192644e-09,
|
| 3059 |
+
"loss": 1.3693,
|
| 3060 |
+
"step": 4500
|
| 3061 |
+
},
|
| 3062 |
+
{
|
| 3063 |
+
"epoch": 2.98,
|
| 3064 |
+
"eval_loss": 1.3998451232910156,
|
| 3065 |
+
"eval_runtime": 19.9451,
|
| 3066 |
+
"eval_samples_per_second": 24.517,
|
| 3067 |
+
"eval_steps_per_second": 6.167,
|
| 3068 |
+
"step": 4500
|
| 3069 |
+
},
|
| 3070 |
+
{
|
| 3071 |
+
"epoch": 2.99,
|
| 3072 |
+
"learning_rate": 2.4047303419094667e-09,
|
| 3073 |
+
"loss": 1.3439,
|
| 3074 |
+
"step": 4510
|
| 3075 |
+
},
|
| 3076 |
+
{
|
| 3077 |
+
"epoch": 2.99,
|
| 3078 |
+
"learning_rate": 6.011898140617645e-10,
|
| 3079 |
+
"loss": 1.3848,
|
| 3080 |
+
"step": 4520
|
| 3081 |
+
},
|
| 3082 |
+
{
|
| 3083 |
+
"epoch": 3.0,
|
| 3084 |
+
"learning_rate": 0.0,
|
| 3085 |
+
"loss": 1.3852,
|
| 3086 |
+
"step": 4530
|
| 3087 |
+
},
|
| 3088 |
+
{
|
| 3089 |
+
"epoch": 3.0,
|
| 3090 |
+
"step": 4530,
|
| 3091 |
+
"total_flos": 1.828885230092206e+18,
|
| 3092 |
+
"train_loss": 1.4043121354732555,
|
| 3093 |
+
"train_runtime": 20600.2987,
|
| 3094 |
+
"train_samples_per_second": 7.038,
|
| 3095 |
+
"train_steps_per_second": 0.22
|
| 3096 |
+
}
|
| 3097 |
+
],
|
| 3098 |
+
"max_steps": 4530,
|
| 3099 |
+
"num_train_epochs": 3,
|
| 3100 |
+
"total_flos": 1.828885230092206e+18,
|
| 3101 |
+
"trial_name": null,
|
| 3102 |
+
"trial_params": null
|
| 3103 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:600e570fde3f2384ebc2a5bebb380c9dafeb644821c59a35d0ce55abb93dd55d
|
| 3 |
+
size 3274
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|