Farouk
commited on
Commit
•
1b4b4b5
1
Parent(s):
9c4a04f
Training in progress, step 8800
Browse files- adapter_model.bin +1 -1
- checkpoint-6200/adapter_model/adapter_model/README.md +12 -0
- checkpoint-6200/adapter_model/adapter_model/adapter_model.bin +1 -1
- {checkpoint-6800 → checkpoint-8800}/README.md +0 -0
- {checkpoint-6800 → checkpoint-8800}/adapter_config.json +0 -0
- {checkpoint-6800 → checkpoint-8800}/adapter_model.bin +1 -1
- {checkpoint-6800 → checkpoint-8800}/added_tokens.json +0 -0
- {checkpoint-6800 → checkpoint-8800}/optimizer.pt +1 -1
- {checkpoint-6800 → checkpoint-8800}/rng_state.pth +1 -1
- {checkpoint-6800 → checkpoint-8800}/scheduler.pt +1 -1
- {checkpoint-6800 → checkpoint-8800}/special_tokens_map.json +0 -0
- {checkpoint-6800 → checkpoint-8800}/tokenizer.model +0 -0
- {checkpoint-6800 → checkpoint-8800}/tokenizer_config.json +0 -0
- {checkpoint-6800 → checkpoint-8800}/trainer_state.json +1913 -3
- {checkpoint-6800 → checkpoint-8800}/training_args.bin +0 -0
adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319977229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:41bbe8a392b25ffc2919422c6cdf1817811f8a50007bc8663a3b59aa22412094
|
| 3 |
size 319977229
|
checkpoint-6200/adapter_model/adapter_model/README.md
CHANGED
|
@@ -125,6 +125,17 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 125 |
- bnb_4bit_use_double_quant: True
|
| 126 |
- bnb_4bit_compute_dtype: bfloat16
|
| 127 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 128 |
The following `bitsandbytes` quantization config was used during training:
|
| 129 |
- load_in_8bit: False
|
| 130 |
- load_in_4bit: True
|
|
@@ -148,5 +159,6 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 148 |
- PEFT 0.4.0
|
| 149 |
- PEFT 0.4.0
|
| 150 |
- PEFT 0.4.0
|
|
|
|
| 151 |
|
| 152 |
- PEFT 0.4.0
|
|
|
|
| 125 |
- bnb_4bit_use_double_quant: True
|
| 126 |
- bnb_4bit_compute_dtype: bfloat16
|
| 127 |
|
| 128 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 129 |
+
- load_in_8bit: False
|
| 130 |
+
- load_in_4bit: True
|
| 131 |
+
- llm_int8_threshold: 6.0
|
| 132 |
+
- llm_int8_skip_modules: None
|
| 133 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 134 |
+
- llm_int8_has_fp16_weight: False
|
| 135 |
+
- bnb_4bit_quant_type: nf4
|
| 136 |
+
- bnb_4bit_use_double_quant: True
|
| 137 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 138 |
+
|
| 139 |
The following `bitsandbytes` quantization config was used during training:
|
| 140 |
- load_in_8bit: False
|
| 141 |
- load_in_4bit: True
|
|
|
|
| 159 |
- PEFT 0.4.0
|
| 160 |
- PEFT 0.4.0
|
| 161 |
- PEFT 0.4.0
|
| 162 |
+
- PEFT 0.4.0
|
| 163 |
|
| 164 |
- PEFT 0.4.0
|
checkpoint-6200/adapter_model/adapter_model/adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319977229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a4f06a49bfdc391f60588e60dc50b17e1a132774226ad27f7a77af18c898d01
|
| 3 |
size 319977229
|
{checkpoint-6800 → checkpoint-8800}/README.md
RENAMED
|
File without changes
|
{checkpoint-6800 → checkpoint-8800}/adapter_config.json
RENAMED
|
File without changes
|
{checkpoint-6800 → checkpoint-8800}/adapter_model.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319977229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:41bbe8a392b25ffc2919422c6cdf1817811f8a50007bc8663a3b59aa22412094
|
| 3 |
size 319977229
|
{checkpoint-6800 → checkpoint-8800}/added_tokens.json
RENAMED
|
File without changes
|
{checkpoint-6800 → checkpoint-8800}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1279539973
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbdf2568c0db3d4de9fa4854ac46b58d8c6555f3c21b9a5f53bf67582a0bf52c
|
| 3 |
size 1279539973
|
{checkpoint-6800 → checkpoint-8800}/rng_state.pth
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14511
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02bd4bd99fac2f29a37cb3cc9a750bb54a25ae7fc2c05a087715695d7c16f290
|
| 3 |
size 14511
|
{checkpoint-6800 → checkpoint-8800}/scheduler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 627
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6c21e5e690d8e0cade5418c2fcaefb2d060d01ccdb64d9d6411a6d2dbbe882b0
|
| 3 |
size 627
|
{checkpoint-6800 → checkpoint-8800}/special_tokens_map.json
RENAMED
|
File without changes
|
{checkpoint-6800 → checkpoint-8800}/tokenizer.model
RENAMED
|
File without changes
|
{checkpoint-6800 → checkpoint-8800}/tokenizer_config.json
RENAMED
|
File without changes
|
{checkpoint-6800 → checkpoint-8800}/trainer_state.json
RENAMED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.7293602228164673,
|
| 3 |
"best_model_checkpoint": "experts/expert-16/checkpoint-6200",
|
| 4 |
-
"epoch": 2.
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -6500,11 +6500,1921 @@
|
|
| 6500 |
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 6501 |
"mmlu_loss": 1.295992794337223,
|
| 6502 |
"step": 6800
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6503 |
}
|
| 6504 |
],
|
| 6505 |
"max_steps": 10000,
|
| 6506 |
"num_train_epochs": 4,
|
| 6507 |
-
"total_flos": 2.
|
| 6508 |
"trial_name": null,
|
| 6509 |
"trial_params": null
|
| 6510 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.7293602228164673,
|
| 3 |
"best_model_checkpoint": "experts/expert-16/checkpoint-6200",
|
| 4 |
+
"epoch": 2.788339670468948,
|
| 5 |
+
"global_step": 8800,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 6500 |
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 6501 |
"mmlu_loss": 1.295992794337223,
|
| 6502 |
"step": 6800
|
| 6503 |
+
},
|
| 6504 |
+
{
|
| 6505 |
+
"epoch": 2.16,
|
| 6506 |
+
"learning_rate": 0.0002,
|
| 6507 |
+
"loss": 0.5435,
|
| 6508 |
+
"step": 6810
|
| 6509 |
+
},
|
| 6510 |
+
{
|
| 6511 |
+
"epoch": 2.16,
|
| 6512 |
+
"learning_rate": 0.0002,
|
| 6513 |
+
"loss": 0.593,
|
| 6514 |
+
"step": 6820
|
| 6515 |
+
},
|
| 6516 |
+
{
|
| 6517 |
+
"epoch": 2.16,
|
| 6518 |
+
"learning_rate": 0.0002,
|
| 6519 |
+
"loss": 0.5898,
|
| 6520 |
+
"step": 6830
|
| 6521 |
+
},
|
| 6522 |
+
{
|
| 6523 |
+
"epoch": 2.17,
|
| 6524 |
+
"learning_rate": 0.0002,
|
| 6525 |
+
"loss": 0.5404,
|
| 6526 |
+
"step": 6840
|
| 6527 |
+
},
|
| 6528 |
+
{
|
| 6529 |
+
"epoch": 2.17,
|
| 6530 |
+
"learning_rate": 0.0002,
|
| 6531 |
+
"loss": 0.593,
|
| 6532 |
+
"step": 6850
|
| 6533 |
+
},
|
| 6534 |
+
{
|
| 6535 |
+
"epoch": 2.17,
|
| 6536 |
+
"learning_rate": 0.0002,
|
| 6537 |
+
"loss": 0.5832,
|
| 6538 |
+
"step": 6860
|
| 6539 |
+
},
|
| 6540 |
+
{
|
| 6541 |
+
"epoch": 2.18,
|
| 6542 |
+
"learning_rate": 0.0002,
|
| 6543 |
+
"loss": 0.6201,
|
| 6544 |
+
"step": 6870
|
| 6545 |
+
},
|
| 6546 |
+
{
|
| 6547 |
+
"epoch": 2.18,
|
| 6548 |
+
"learning_rate": 0.0002,
|
| 6549 |
+
"loss": 0.6147,
|
| 6550 |
+
"step": 6880
|
| 6551 |
+
},
|
| 6552 |
+
{
|
| 6553 |
+
"epoch": 2.18,
|
| 6554 |
+
"learning_rate": 0.0002,
|
| 6555 |
+
"loss": 0.6102,
|
| 6556 |
+
"step": 6890
|
| 6557 |
+
},
|
| 6558 |
+
{
|
| 6559 |
+
"epoch": 2.19,
|
| 6560 |
+
"learning_rate": 0.0002,
|
| 6561 |
+
"loss": 0.5885,
|
| 6562 |
+
"step": 6900
|
| 6563 |
+
},
|
| 6564 |
+
{
|
| 6565 |
+
"epoch": 2.19,
|
| 6566 |
+
"learning_rate": 0.0002,
|
| 6567 |
+
"loss": 0.5549,
|
| 6568 |
+
"step": 6910
|
| 6569 |
+
},
|
| 6570 |
+
{
|
| 6571 |
+
"epoch": 2.19,
|
| 6572 |
+
"learning_rate": 0.0002,
|
| 6573 |
+
"loss": 0.5973,
|
| 6574 |
+
"step": 6920
|
| 6575 |
+
},
|
| 6576 |
+
{
|
| 6577 |
+
"epoch": 2.2,
|
| 6578 |
+
"learning_rate": 0.0002,
|
| 6579 |
+
"loss": 0.589,
|
| 6580 |
+
"step": 6930
|
| 6581 |
+
},
|
| 6582 |
+
{
|
| 6583 |
+
"epoch": 2.2,
|
| 6584 |
+
"learning_rate": 0.0002,
|
| 6585 |
+
"loss": 0.6258,
|
| 6586 |
+
"step": 6940
|
| 6587 |
+
},
|
| 6588 |
+
{
|
| 6589 |
+
"epoch": 2.2,
|
| 6590 |
+
"learning_rate": 0.0002,
|
| 6591 |
+
"loss": 0.6038,
|
| 6592 |
+
"step": 6950
|
| 6593 |
+
},
|
| 6594 |
+
{
|
| 6595 |
+
"epoch": 2.21,
|
| 6596 |
+
"learning_rate": 0.0002,
|
| 6597 |
+
"loss": 0.5865,
|
| 6598 |
+
"step": 6960
|
| 6599 |
+
},
|
| 6600 |
+
{
|
| 6601 |
+
"epoch": 2.21,
|
| 6602 |
+
"learning_rate": 0.0002,
|
| 6603 |
+
"loss": 0.6355,
|
| 6604 |
+
"step": 6970
|
| 6605 |
+
},
|
| 6606 |
+
{
|
| 6607 |
+
"epoch": 2.21,
|
| 6608 |
+
"learning_rate": 0.0002,
|
| 6609 |
+
"loss": 0.6572,
|
| 6610 |
+
"step": 6980
|
| 6611 |
+
},
|
| 6612 |
+
{
|
| 6613 |
+
"epoch": 2.21,
|
| 6614 |
+
"learning_rate": 0.0002,
|
| 6615 |
+
"loss": 0.5367,
|
| 6616 |
+
"step": 6990
|
| 6617 |
+
},
|
| 6618 |
+
{
|
| 6619 |
+
"epoch": 2.22,
|
| 6620 |
+
"learning_rate": 0.0002,
|
| 6621 |
+
"loss": 0.5959,
|
| 6622 |
+
"step": 7000
|
| 6623 |
+
},
|
| 6624 |
+
{
|
| 6625 |
+
"epoch": 2.22,
|
| 6626 |
+
"eval_loss": 0.7645158767700195,
|
| 6627 |
+
"eval_runtime": 111.037,
|
| 6628 |
+
"eval_samples_per_second": 9.006,
|
| 6629 |
+
"eval_steps_per_second": 4.503,
|
| 6630 |
+
"step": 7000
|
| 6631 |
+
},
|
| 6632 |
+
{
|
| 6633 |
+
"epoch": 2.22,
|
| 6634 |
+
"mmlu_eval_accuracy": 0.478166482161635,
|
| 6635 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 6636 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
| 6637 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 6638 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 6639 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 6640 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 6641 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 6642 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 6643 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 6644 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 6645 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 6646 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
| 6647 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
|
| 6648 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
| 6649 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 6650 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 6651 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
| 6652 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 6653 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 6654 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 6655 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 6656 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 6657 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 6658 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 6659 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 6660 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862,
|
| 6661 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 6662 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
| 6663 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 6664 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 6665 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 6666 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
| 6667 |
+
"mmlu_eval_accuracy_human_aging": 0.782608695652174,
|
| 6668 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 6669 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 6670 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 6671 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 6672 |
+
"mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
|
| 6673 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 6674 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 6675 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 6676 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
| 6677 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 6678 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
| 6679 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 6680 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 6681 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 6682 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
| 6683 |
+
"mmlu_eval_accuracy_professional_law": 0.35294117647058826,
|
| 6684 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5161290322580645,
|
| 6685 |
+
"mmlu_eval_accuracy_professional_psychology": 0.463768115942029,
|
| 6686 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 6687 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 6688 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 6689 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 6690 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 6691 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 6692 |
+
"mmlu_loss": 1.506881151358079,
|
| 6693 |
+
"step": 7000
|
| 6694 |
+
},
|
| 6695 |
+
{
|
| 6696 |
+
"epoch": 2.22,
|
| 6697 |
+
"learning_rate": 0.0002,
|
| 6698 |
+
"loss": 0.6429,
|
| 6699 |
+
"step": 7010
|
| 6700 |
+
},
|
| 6701 |
+
{
|
| 6702 |
+
"epoch": 2.22,
|
| 6703 |
+
"learning_rate": 0.0002,
|
| 6704 |
+
"loss": 0.5899,
|
| 6705 |
+
"step": 7020
|
| 6706 |
+
},
|
| 6707 |
+
{
|
| 6708 |
+
"epoch": 2.23,
|
| 6709 |
+
"learning_rate": 0.0002,
|
| 6710 |
+
"loss": 0.5661,
|
| 6711 |
+
"step": 7030
|
| 6712 |
+
},
|
| 6713 |
+
{
|
| 6714 |
+
"epoch": 2.23,
|
| 6715 |
+
"learning_rate": 0.0002,
|
| 6716 |
+
"loss": 0.5747,
|
| 6717 |
+
"step": 7040
|
| 6718 |
+
},
|
| 6719 |
+
{
|
| 6720 |
+
"epoch": 2.23,
|
| 6721 |
+
"learning_rate": 0.0002,
|
| 6722 |
+
"loss": 0.603,
|
| 6723 |
+
"step": 7050
|
| 6724 |
+
},
|
| 6725 |
+
{
|
| 6726 |
+
"epoch": 2.24,
|
| 6727 |
+
"learning_rate": 0.0002,
|
| 6728 |
+
"loss": 0.5864,
|
| 6729 |
+
"step": 7060
|
| 6730 |
+
},
|
| 6731 |
+
{
|
| 6732 |
+
"epoch": 2.24,
|
| 6733 |
+
"learning_rate": 0.0002,
|
| 6734 |
+
"loss": 0.588,
|
| 6735 |
+
"step": 7070
|
| 6736 |
+
},
|
| 6737 |
+
{
|
| 6738 |
+
"epoch": 2.24,
|
| 6739 |
+
"learning_rate": 0.0002,
|
| 6740 |
+
"loss": 0.6275,
|
| 6741 |
+
"step": 7080
|
| 6742 |
+
},
|
| 6743 |
+
{
|
| 6744 |
+
"epoch": 2.25,
|
| 6745 |
+
"learning_rate": 0.0002,
|
| 6746 |
+
"loss": 0.6118,
|
| 6747 |
+
"step": 7090
|
| 6748 |
+
},
|
| 6749 |
+
{
|
| 6750 |
+
"epoch": 2.25,
|
| 6751 |
+
"learning_rate": 0.0002,
|
| 6752 |
+
"loss": 0.6475,
|
| 6753 |
+
"step": 7100
|
| 6754 |
+
},
|
| 6755 |
+
{
|
| 6756 |
+
"epoch": 2.25,
|
| 6757 |
+
"learning_rate": 0.0002,
|
| 6758 |
+
"loss": 0.6191,
|
| 6759 |
+
"step": 7110
|
| 6760 |
+
},
|
| 6761 |
+
{
|
| 6762 |
+
"epoch": 2.26,
|
| 6763 |
+
"learning_rate": 0.0002,
|
| 6764 |
+
"loss": 0.5623,
|
| 6765 |
+
"step": 7120
|
| 6766 |
+
},
|
| 6767 |
+
{
|
| 6768 |
+
"epoch": 2.26,
|
| 6769 |
+
"learning_rate": 0.0002,
|
| 6770 |
+
"loss": 0.6052,
|
| 6771 |
+
"step": 7130
|
| 6772 |
+
},
|
| 6773 |
+
{
|
| 6774 |
+
"epoch": 2.26,
|
| 6775 |
+
"learning_rate": 0.0002,
|
| 6776 |
+
"loss": 0.545,
|
| 6777 |
+
"step": 7140
|
| 6778 |
+
},
|
| 6779 |
+
{
|
| 6780 |
+
"epoch": 2.27,
|
| 6781 |
+
"learning_rate": 0.0002,
|
| 6782 |
+
"loss": 0.5975,
|
| 6783 |
+
"step": 7150
|
| 6784 |
+
},
|
| 6785 |
+
{
|
| 6786 |
+
"epoch": 2.27,
|
| 6787 |
+
"learning_rate": 0.0002,
|
| 6788 |
+
"loss": 0.6022,
|
| 6789 |
+
"step": 7160
|
| 6790 |
+
},
|
| 6791 |
+
{
|
| 6792 |
+
"epoch": 2.27,
|
| 6793 |
+
"learning_rate": 0.0002,
|
| 6794 |
+
"loss": 0.608,
|
| 6795 |
+
"step": 7170
|
| 6796 |
+
},
|
| 6797 |
+
{
|
| 6798 |
+
"epoch": 2.28,
|
| 6799 |
+
"learning_rate": 0.0002,
|
| 6800 |
+
"loss": 0.6401,
|
| 6801 |
+
"step": 7180
|
| 6802 |
+
},
|
| 6803 |
+
{
|
| 6804 |
+
"epoch": 2.28,
|
| 6805 |
+
"learning_rate": 0.0002,
|
| 6806 |
+
"loss": 0.6429,
|
| 6807 |
+
"step": 7190
|
| 6808 |
+
},
|
| 6809 |
+
{
|
| 6810 |
+
"epoch": 2.28,
|
| 6811 |
+
"learning_rate": 0.0002,
|
| 6812 |
+
"loss": 0.5495,
|
| 6813 |
+
"step": 7200
|
| 6814 |
+
},
|
| 6815 |
+
{
|
| 6816 |
+
"epoch": 2.28,
|
| 6817 |
+
"eval_loss": 0.7578040361404419,
|
| 6818 |
+
"eval_runtime": 111.0662,
|
| 6819 |
+
"eval_samples_per_second": 9.004,
|
| 6820 |
+
"eval_steps_per_second": 4.502,
|
| 6821 |
+
"step": 7200
|
| 6822 |
+
},
|
| 6823 |
+
{
|
| 6824 |
+
"epoch": 2.28,
|
| 6825 |
+
"mmlu_eval_accuracy": 0.47051789661643223,
|
| 6826 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 6827 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 6828 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 6829 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 6830 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
| 6831 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 6832 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 6833 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 6834 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 6835 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 6836 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 6837 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 6838 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 6839 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 6840 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 6841 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
|
| 6842 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
| 6843 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
| 6844 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
| 6845 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 6846 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 6847 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 6848 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 6849 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 6850 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 6851 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 6852 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
| 6853 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
| 6854 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 6855 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
| 6856 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 6857 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 6858 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 6859 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 6860 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
| 6861 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 6862 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 6863 |
+
"mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
|
| 6864 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 6865 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
| 6866 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 6867 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 6868 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
| 6869 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 6870 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 6871 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
| 6872 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 6873 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 6874 |
+
"mmlu_eval_accuracy_professional_law": 0.3176470588235294,
|
| 6875 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
|
| 6876 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
| 6877 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 6878 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 6879 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 6880 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 6881 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 6882 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 6883 |
+
"mmlu_loss": 1.5382918150944747,
|
| 6884 |
+
"step": 7200
|
| 6885 |
+
},
|
| 6886 |
+
{
|
| 6887 |
+
"epoch": 2.28,
|
| 6888 |
+
"learning_rate": 0.0002,
|
| 6889 |
+
"loss": 0.5606,
|
| 6890 |
+
"step": 7210
|
| 6891 |
+
},
|
| 6892 |
+
{
|
| 6893 |
+
"epoch": 2.29,
|
| 6894 |
+
"learning_rate": 0.0002,
|
| 6895 |
+
"loss": 0.5737,
|
| 6896 |
+
"step": 7220
|
| 6897 |
+
},
|
| 6898 |
+
{
|
| 6899 |
+
"epoch": 2.29,
|
| 6900 |
+
"learning_rate": 0.0002,
|
| 6901 |
+
"loss": 0.6112,
|
| 6902 |
+
"step": 7230
|
| 6903 |
+
},
|
| 6904 |
+
{
|
| 6905 |
+
"epoch": 2.29,
|
| 6906 |
+
"learning_rate": 0.0002,
|
| 6907 |
+
"loss": 0.626,
|
| 6908 |
+
"step": 7240
|
| 6909 |
+
},
|
| 6910 |
+
{
|
| 6911 |
+
"epoch": 2.3,
|
| 6912 |
+
"learning_rate": 0.0002,
|
| 6913 |
+
"loss": 0.608,
|
| 6914 |
+
"step": 7250
|
| 6915 |
+
},
|
| 6916 |
+
{
|
| 6917 |
+
"epoch": 2.3,
|
| 6918 |
+
"learning_rate": 0.0002,
|
| 6919 |
+
"loss": 0.6265,
|
| 6920 |
+
"step": 7260
|
| 6921 |
+
},
|
| 6922 |
+
{
|
| 6923 |
+
"epoch": 2.3,
|
| 6924 |
+
"learning_rate": 0.0002,
|
| 6925 |
+
"loss": 0.6053,
|
| 6926 |
+
"step": 7270
|
| 6927 |
+
},
|
| 6928 |
+
{
|
| 6929 |
+
"epoch": 2.31,
|
| 6930 |
+
"learning_rate": 0.0002,
|
| 6931 |
+
"loss": 0.6135,
|
| 6932 |
+
"step": 7280
|
| 6933 |
+
},
|
| 6934 |
+
{
|
| 6935 |
+
"epoch": 2.31,
|
| 6936 |
+
"learning_rate": 0.0002,
|
| 6937 |
+
"loss": 0.5217,
|
| 6938 |
+
"step": 7290
|
| 6939 |
+
},
|
| 6940 |
+
{
|
| 6941 |
+
"epoch": 2.31,
|
| 6942 |
+
"learning_rate": 0.0002,
|
| 6943 |
+
"loss": 0.6124,
|
| 6944 |
+
"step": 7300
|
| 6945 |
+
},
|
| 6946 |
+
{
|
| 6947 |
+
"epoch": 2.32,
|
| 6948 |
+
"learning_rate": 0.0002,
|
| 6949 |
+
"loss": 0.5506,
|
| 6950 |
+
"step": 7310
|
| 6951 |
+
},
|
| 6952 |
+
{
|
| 6953 |
+
"epoch": 2.32,
|
| 6954 |
+
"learning_rate": 0.0002,
|
| 6955 |
+
"loss": 0.6095,
|
| 6956 |
+
"step": 7320
|
| 6957 |
+
},
|
| 6958 |
+
{
|
| 6959 |
+
"epoch": 2.32,
|
| 6960 |
+
"learning_rate": 0.0002,
|
| 6961 |
+
"loss": 0.5972,
|
| 6962 |
+
"step": 7330
|
| 6963 |
+
},
|
| 6964 |
+
{
|
| 6965 |
+
"epoch": 2.33,
|
| 6966 |
+
"learning_rate": 0.0002,
|
| 6967 |
+
"loss": 0.6714,
|
| 6968 |
+
"step": 7340
|
| 6969 |
+
},
|
| 6970 |
+
{
|
| 6971 |
+
"epoch": 2.33,
|
| 6972 |
+
"learning_rate": 0.0002,
|
| 6973 |
+
"loss": 0.6083,
|
| 6974 |
+
"step": 7350
|
| 6975 |
+
},
|
| 6976 |
+
{
|
| 6977 |
+
"epoch": 2.33,
|
| 6978 |
+
"learning_rate": 0.0002,
|
| 6979 |
+
"loss": 0.6033,
|
| 6980 |
+
"step": 7360
|
| 6981 |
+
},
|
| 6982 |
+
{
|
| 6983 |
+
"epoch": 2.34,
|
| 6984 |
+
"learning_rate": 0.0002,
|
| 6985 |
+
"loss": 0.5881,
|
| 6986 |
+
"step": 7370
|
| 6987 |
+
},
|
| 6988 |
+
{
|
| 6989 |
+
"epoch": 2.34,
|
| 6990 |
+
"learning_rate": 0.0002,
|
| 6991 |
+
"loss": 0.5958,
|
| 6992 |
+
"step": 7380
|
| 6993 |
+
},
|
| 6994 |
+
{
|
| 6995 |
+
"epoch": 2.34,
|
| 6996 |
+
"learning_rate": 0.0002,
|
| 6997 |
+
"loss": 0.6009,
|
| 6998 |
+
"step": 7390
|
| 6999 |
+
},
|
| 7000 |
+
{
|
| 7001 |
+
"epoch": 2.34,
|
| 7002 |
+
"learning_rate": 0.0002,
|
| 7003 |
+
"loss": 0.5608,
|
| 7004 |
+
"step": 7400
|
| 7005 |
+
},
|
| 7006 |
+
{
|
| 7007 |
+
"epoch": 2.34,
|
| 7008 |
+
"eval_loss": 0.767185628414154,
|
| 7009 |
+
"eval_runtime": 111.2161,
|
| 7010 |
+
"eval_samples_per_second": 8.992,
|
| 7011 |
+
"eval_steps_per_second": 4.496,
|
| 7012 |
+
"step": 7400
|
| 7013 |
+
},
|
| 7014 |
+
{
|
| 7015 |
+
"epoch": 2.34,
|
| 7016 |
+
"mmlu_eval_accuracy": 0.46046773240416866,
|
| 7017 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 7018 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 7019 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 7020 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 7021 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 7022 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 7023 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 7024 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 7025 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 7026 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 7027 |
+
"mmlu_eval_accuracy_college_physics": 0.09090909090909091,
|
| 7028 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 7029 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 7030 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 7031 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 7032 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683,
|
| 7033 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 7034 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
| 7035 |
+
"mmlu_eval_accuracy_high_school_biology": 0.3125,
|
| 7036 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.13636363636363635,
|
| 7037 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 7038 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 7039 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 7040 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 7041 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 7042 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 7043 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
| 7044 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
| 7045 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 7046 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
| 7047 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 7048 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
| 7049 |
+
"mmlu_eval_accuracy_human_aging": 0.782608695652174,
|
| 7050 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 7051 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 7052 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 7053 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 7054 |
+
"mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
|
| 7055 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 7056 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
| 7057 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 7058 |
+
"mmlu_eval_accuracy_miscellaneous": 0.627906976744186,
|
| 7059 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
|
| 7060 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.27,
|
| 7061 |
+
"mmlu_eval_accuracy_nutrition": 0.5454545454545454,
|
| 7062 |
+
"mmlu_eval_accuracy_philosophy": 0.4117647058823529,
|
| 7063 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 7064 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 7065 |
+
"mmlu_eval_accuracy_professional_law": 0.3,
|
| 7066 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
|
| 7067 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
| 7068 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 7069 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 7070 |
+
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
| 7071 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 7072 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 7073 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 7074 |
+
"mmlu_loss": 1.5711101981040392,
|
| 7075 |
+
"step": 7400
|
| 7076 |
+
},
|
| 7077 |
+
{
|
| 7078 |
+
"epoch": 2.35,
|
| 7079 |
+
"learning_rate": 0.0002,
|
| 7080 |
+
"loss": 0.5974,
|
| 7081 |
+
"step": 7410
|
| 7082 |
+
},
|
| 7083 |
+
{
|
| 7084 |
+
"epoch": 2.35,
|
| 7085 |
+
"learning_rate": 0.0002,
|
| 7086 |
+
"loss": 0.5677,
|
| 7087 |
+
"step": 7420
|
| 7088 |
+
},
|
| 7089 |
+
{
|
| 7090 |
+
"epoch": 2.35,
|
| 7091 |
+
"learning_rate": 0.0002,
|
| 7092 |
+
"loss": 0.5592,
|
| 7093 |
+
"step": 7430
|
| 7094 |
+
},
|
| 7095 |
+
{
|
| 7096 |
+
"epoch": 2.36,
|
| 7097 |
+
"learning_rate": 0.0002,
|
| 7098 |
+
"loss": 0.5754,
|
| 7099 |
+
"step": 7440
|
| 7100 |
+
},
|
| 7101 |
+
{
|
| 7102 |
+
"epoch": 2.36,
|
| 7103 |
+
"learning_rate": 0.0002,
|
| 7104 |
+
"loss": 0.6117,
|
| 7105 |
+
"step": 7450
|
| 7106 |
+
},
|
| 7107 |
+
{
|
| 7108 |
+
"epoch": 2.36,
|
| 7109 |
+
"learning_rate": 0.0002,
|
| 7110 |
+
"loss": 0.5462,
|
| 7111 |
+
"step": 7460
|
| 7112 |
+
},
|
| 7113 |
+
{
|
| 7114 |
+
"epoch": 2.37,
|
| 7115 |
+
"learning_rate": 0.0002,
|
| 7116 |
+
"loss": 0.5888,
|
| 7117 |
+
"step": 7470
|
| 7118 |
+
},
|
| 7119 |
+
{
|
| 7120 |
+
"epoch": 2.37,
|
| 7121 |
+
"learning_rate": 0.0002,
|
| 7122 |
+
"loss": 0.5933,
|
| 7123 |
+
"step": 7480
|
| 7124 |
+
},
|
| 7125 |
+
{
|
| 7126 |
+
"epoch": 2.37,
|
| 7127 |
+
"learning_rate": 0.0002,
|
| 7128 |
+
"loss": 0.6329,
|
| 7129 |
+
"step": 7490
|
| 7130 |
+
},
|
| 7131 |
+
{
|
| 7132 |
+
"epoch": 2.38,
|
| 7133 |
+
"learning_rate": 0.0002,
|
| 7134 |
+
"loss": 0.6803,
|
| 7135 |
+
"step": 7500
|
| 7136 |
+
},
|
| 7137 |
+
{
|
| 7138 |
+
"epoch": 2.38,
|
| 7139 |
+
"learning_rate": 0.0002,
|
| 7140 |
+
"loss": 0.5907,
|
| 7141 |
+
"step": 7510
|
| 7142 |
+
},
|
| 7143 |
+
{
|
| 7144 |
+
"epoch": 2.38,
|
| 7145 |
+
"learning_rate": 0.0002,
|
| 7146 |
+
"loss": 0.5929,
|
| 7147 |
+
"step": 7520
|
| 7148 |
+
},
|
| 7149 |
+
{
|
| 7150 |
+
"epoch": 2.39,
|
| 7151 |
+
"learning_rate": 0.0002,
|
| 7152 |
+
"loss": 0.6288,
|
| 7153 |
+
"step": 7530
|
| 7154 |
+
},
|
| 7155 |
+
{
|
| 7156 |
+
"epoch": 2.39,
|
| 7157 |
+
"learning_rate": 0.0002,
|
| 7158 |
+
"loss": 0.5839,
|
| 7159 |
+
"step": 7540
|
| 7160 |
+
},
|
| 7161 |
+
{
|
| 7162 |
+
"epoch": 2.39,
|
| 7163 |
+
"learning_rate": 0.0002,
|
| 7164 |
+
"loss": 0.5886,
|
| 7165 |
+
"step": 7550
|
| 7166 |
+
},
|
| 7167 |
+
{
|
| 7168 |
+
"epoch": 2.4,
|
| 7169 |
+
"learning_rate": 0.0002,
|
| 7170 |
+
"loss": 0.6225,
|
| 7171 |
+
"step": 7560
|
| 7172 |
+
},
|
| 7173 |
+
{
|
| 7174 |
+
"epoch": 2.4,
|
| 7175 |
+
"learning_rate": 0.0002,
|
| 7176 |
+
"loss": 0.6009,
|
| 7177 |
+
"step": 7570
|
| 7178 |
+
},
|
| 7179 |
+
{
|
| 7180 |
+
"epoch": 2.4,
|
| 7181 |
+
"learning_rate": 0.0002,
|
| 7182 |
+
"loss": 0.5975,
|
| 7183 |
+
"step": 7580
|
| 7184 |
+
},
|
| 7185 |
+
{
|
| 7186 |
+
"epoch": 2.4,
|
| 7187 |
+
"learning_rate": 0.0002,
|
| 7188 |
+
"loss": 0.5581,
|
| 7189 |
+
"step": 7590
|
| 7190 |
+
},
|
| 7191 |
+
{
|
| 7192 |
+
"epoch": 2.41,
|
| 7193 |
+
"learning_rate": 0.0002,
|
| 7194 |
+
"loss": 0.612,
|
| 7195 |
+
"step": 7600
|
| 7196 |
+
},
|
| 7197 |
+
{
|
| 7198 |
+
"epoch": 2.41,
|
| 7199 |
+
"eval_loss": 0.76031494140625,
|
| 7200 |
+
"eval_runtime": 111.0399,
|
| 7201 |
+
"eval_samples_per_second": 9.006,
|
| 7202 |
+
"eval_steps_per_second": 4.503,
|
| 7203 |
+
"step": 7600
|
| 7204 |
+
},
|
| 7205 |
+
{
|
| 7206 |
+
"epoch": 2.41,
|
| 7207 |
+
"mmlu_eval_accuracy": 0.47951118911559576,
|
| 7208 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 7209 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 7210 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
| 7211 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 7212 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 7213 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 7214 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 7215 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 7216 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 7217 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 7218 |
+
"mmlu_eval_accuracy_college_physics": 0.18181818181818182,
|
| 7219 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 7220 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 7221 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 7222 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 7223 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 7224 |
+
"mmlu_eval_accuracy_formal_logic": 0.07142857142857142,
|
| 7225 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 7226 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 7227 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 7228 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 7229 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
| 7230 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 7231 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 7232 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
|
| 7233 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 7234 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
| 7235 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
| 7236 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333,
|
| 7237 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.21739130434782608,
|
| 7238 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 7239 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 7240 |
+
"mmlu_eval_accuracy_human_aging": 0.782608695652174,
|
| 7241 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 7242 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 7243 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 7244 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 7245 |
+
"mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
|
| 7246 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 7247 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
| 7248 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 7249 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 7250 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
| 7251 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 7252 |
+
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
| 7253 |
+
"mmlu_eval_accuracy_philosophy": 0.5588235294117647,
|
| 7254 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
| 7255 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
| 7256 |
+
"mmlu_eval_accuracy_professional_law": 0.3352941176470588,
|
| 7257 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
| 7258 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5217391304347826,
|
| 7259 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 7260 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 7261 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 7262 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 7263 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 7264 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 7265 |
+
"mmlu_loss": 1.584926052947891,
|
| 7266 |
+
"step": 7600
|
| 7267 |
+
},
|
| 7268 |
+
{
|
| 7269 |
+
"epoch": 2.41,
|
| 7270 |
+
"learning_rate": 0.0002,
|
| 7271 |
+
"loss": 0.5914,
|
| 7272 |
+
"step": 7610
|
| 7273 |
+
},
|
| 7274 |
+
{
|
| 7275 |
+
"epoch": 2.41,
|
| 7276 |
+
"learning_rate": 0.0002,
|
| 7277 |
+
"loss": 0.59,
|
| 7278 |
+
"step": 7620
|
| 7279 |
+
},
|
| 7280 |
+
{
|
| 7281 |
+
"epoch": 2.42,
|
| 7282 |
+
"learning_rate": 0.0002,
|
| 7283 |
+
"loss": 0.6179,
|
| 7284 |
+
"step": 7630
|
| 7285 |
+
},
|
| 7286 |
+
{
|
| 7287 |
+
"epoch": 2.42,
|
| 7288 |
+
"learning_rate": 0.0002,
|
| 7289 |
+
"loss": 0.6203,
|
| 7290 |
+
"step": 7640
|
| 7291 |
+
},
|
| 7292 |
+
{
|
| 7293 |
+
"epoch": 2.42,
|
| 7294 |
+
"learning_rate": 0.0002,
|
| 7295 |
+
"loss": 0.6113,
|
| 7296 |
+
"step": 7650
|
| 7297 |
+
},
|
| 7298 |
+
{
|
| 7299 |
+
"epoch": 2.43,
|
| 7300 |
+
"learning_rate": 0.0002,
|
| 7301 |
+
"loss": 0.5505,
|
| 7302 |
+
"step": 7660
|
| 7303 |
+
},
|
| 7304 |
+
{
|
| 7305 |
+
"epoch": 2.43,
|
| 7306 |
+
"learning_rate": 0.0002,
|
| 7307 |
+
"loss": 0.5664,
|
| 7308 |
+
"step": 7670
|
| 7309 |
+
},
|
| 7310 |
+
{
|
| 7311 |
+
"epoch": 2.43,
|
| 7312 |
+
"learning_rate": 0.0002,
|
| 7313 |
+
"loss": 0.596,
|
| 7314 |
+
"step": 7680
|
| 7315 |
+
},
|
| 7316 |
+
{
|
| 7317 |
+
"epoch": 2.44,
|
| 7318 |
+
"learning_rate": 0.0002,
|
| 7319 |
+
"loss": 0.6125,
|
| 7320 |
+
"step": 7690
|
| 7321 |
+
},
|
| 7322 |
+
{
|
| 7323 |
+
"epoch": 2.44,
|
| 7324 |
+
"learning_rate": 0.0002,
|
| 7325 |
+
"loss": 0.607,
|
| 7326 |
+
"step": 7700
|
| 7327 |
+
},
|
| 7328 |
+
{
|
| 7329 |
+
"epoch": 2.44,
|
| 7330 |
+
"learning_rate": 0.0002,
|
| 7331 |
+
"loss": 0.5657,
|
| 7332 |
+
"step": 7710
|
| 7333 |
+
},
|
| 7334 |
+
{
|
| 7335 |
+
"epoch": 2.45,
|
| 7336 |
+
"learning_rate": 0.0002,
|
| 7337 |
+
"loss": 0.5419,
|
| 7338 |
+
"step": 7720
|
| 7339 |
+
},
|
| 7340 |
+
{
|
| 7341 |
+
"epoch": 2.45,
|
| 7342 |
+
"learning_rate": 0.0002,
|
| 7343 |
+
"loss": 0.614,
|
| 7344 |
+
"step": 7730
|
| 7345 |
+
},
|
| 7346 |
+
{
|
| 7347 |
+
"epoch": 2.45,
|
| 7348 |
+
"learning_rate": 0.0002,
|
| 7349 |
+
"loss": 0.6107,
|
| 7350 |
+
"step": 7740
|
| 7351 |
+
},
|
| 7352 |
+
{
|
| 7353 |
+
"epoch": 2.46,
|
| 7354 |
+
"learning_rate": 0.0002,
|
| 7355 |
+
"loss": 0.6099,
|
| 7356 |
+
"step": 7750
|
| 7357 |
+
},
|
| 7358 |
+
{
|
| 7359 |
+
"epoch": 2.46,
|
| 7360 |
+
"learning_rate": 0.0002,
|
| 7361 |
+
"loss": 0.5994,
|
| 7362 |
+
"step": 7760
|
| 7363 |
+
},
|
| 7364 |
+
{
|
| 7365 |
+
"epoch": 2.46,
|
| 7366 |
+
"learning_rate": 0.0002,
|
| 7367 |
+
"loss": 0.6274,
|
| 7368 |
+
"step": 7770
|
| 7369 |
+
},
|
| 7370 |
+
{
|
| 7371 |
+
"epoch": 2.47,
|
| 7372 |
+
"learning_rate": 0.0002,
|
| 7373 |
+
"loss": 0.5902,
|
| 7374 |
+
"step": 7780
|
| 7375 |
+
},
|
| 7376 |
+
{
|
| 7377 |
+
"epoch": 2.47,
|
| 7378 |
+
"learning_rate": 0.0002,
|
| 7379 |
+
"loss": 0.5902,
|
| 7380 |
+
"step": 7790
|
| 7381 |
+
},
|
| 7382 |
+
{
|
| 7383 |
+
"epoch": 2.47,
|
| 7384 |
+
"learning_rate": 0.0002,
|
| 7385 |
+
"loss": 0.599,
|
| 7386 |
+
"step": 7800
|
| 7387 |
+
},
|
| 7388 |
+
{
|
| 7389 |
+
"epoch": 2.47,
|
| 7390 |
+
"eval_loss": 0.760485827922821,
|
| 7391 |
+
"eval_runtime": 111.1916,
|
| 7392 |
+
"eval_samples_per_second": 8.993,
|
| 7393 |
+
"eval_steps_per_second": 4.497,
|
| 7394 |
+
"step": 7800
|
| 7395 |
+
},
|
| 7396 |
+
{
|
| 7397 |
+
"epoch": 2.47,
|
| 7398 |
+
"mmlu_eval_accuracy": 0.48418694277386404,
|
| 7399 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 7400 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
| 7401 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 7402 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 7403 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 7404 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 7405 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 7406 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 7407 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 7408 |
+
"mmlu_eval_accuracy_college_medicine": 0.5,
|
| 7409 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
| 7410 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 7411 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 7412 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 7413 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 7414 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
| 7415 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 7416 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 7417 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 7418 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 7419 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 7420 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 7421 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 7422 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 7423 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 7424 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 7425 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 7426 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
| 7427 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 7428 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 7429 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 7430 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 7431 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 7432 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 7433 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 7434 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 7435 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 7436 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
| 7437 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 7438 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 7439 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 7440 |
+
"mmlu_eval_accuracy_miscellaneous": 0.627906976744186,
|
| 7441 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
|
| 7442 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.27,
|
| 7443 |
+
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
| 7444 |
+
"mmlu_eval_accuracy_philosophy": 0.5588235294117647,
|
| 7445 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 7446 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
| 7447 |
+
"mmlu_eval_accuracy_professional_law": 0.34705882352941175,
|
| 7448 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
|
| 7449 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
| 7450 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 7451 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
| 7452 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
| 7453 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 7454 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 7455 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 7456 |
+
"mmlu_loss": 1.4828916400204128,
|
| 7457 |
+
"step": 7800
|
| 7458 |
+
},
|
| 7459 |
+
{
|
| 7460 |
+
"epoch": 2.47,
|
| 7461 |
+
"learning_rate": 0.0002,
|
| 7462 |
+
"loss": 0.6005,
|
| 7463 |
+
"step": 7810
|
| 7464 |
+
},
|
| 7465 |
+
{
|
| 7466 |
+
"epoch": 2.48,
|
| 7467 |
+
"learning_rate": 0.0002,
|
| 7468 |
+
"loss": 0.6662,
|
| 7469 |
+
"step": 7820
|
| 7470 |
+
},
|
| 7471 |
+
{
|
| 7472 |
+
"epoch": 2.48,
|
| 7473 |
+
"learning_rate": 0.0002,
|
| 7474 |
+
"loss": 0.5821,
|
| 7475 |
+
"step": 7830
|
| 7476 |
+
},
|
| 7477 |
+
{
|
| 7478 |
+
"epoch": 2.48,
|
| 7479 |
+
"learning_rate": 0.0002,
|
| 7480 |
+
"loss": 0.5826,
|
| 7481 |
+
"step": 7840
|
| 7482 |
+
},
|
| 7483 |
+
{
|
| 7484 |
+
"epoch": 2.49,
|
| 7485 |
+
"learning_rate": 0.0002,
|
| 7486 |
+
"loss": 0.5804,
|
| 7487 |
+
"step": 7850
|
| 7488 |
+
},
|
| 7489 |
+
{
|
| 7490 |
+
"epoch": 2.49,
|
| 7491 |
+
"learning_rate": 0.0002,
|
| 7492 |
+
"loss": 0.587,
|
| 7493 |
+
"step": 7860
|
| 7494 |
+
},
|
| 7495 |
+
{
|
| 7496 |
+
"epoch": 2.49,
|
| 7497 |
+
"learning_rate": 0.0002,
|
| 7498 |
+
"loss": 0.6062,
|
| 7499 |
+
"step": 7870
|
| 7500 |
+
},
|
| 7501 |
+
{
|
| 7502 |
+
"epoch": 2.5,
|
| 7503 |
+
"learning_rate": 0.0002,
|
| 7504 |
+
"loss": 0.5616,
|
| 7505 |
+
"step": 7880
|
| 7506 |
+
},
|
| 7507 |
+
{
|
| 7508 |
+
"epoch": 2.5,
|
| 7509 |
+
"learning_rate": 0.0002,
|
| 7510 |
+
"loss": 0.6351,
|
| 7511 |
+
"step": 7890
|
| 7512 |
+
},
|
| 7513 |
+
{
|
| 7514 |
+
"epoch": 2.5,
|
| 7515 |
+
"learning_rate": 0.0002,
|
| 7516 |
+
"loss": 0.5738,
|
| 7517 |
+
"step": 7900
|
| 7518 |
+
},
|
| 7519 |
+
{
|
| 7520 |
+
"epoch": 2.51,
|
| 7521 |
+
"learning_rate": 0.0002,
|
| 7522 |
+
"loss": 0.5564,
|
| 7523 |
+
"step": 7910
|
| 7524 |
+
},
|
| 7525 |
+
{
|
| 7526 |
+
"epoch": 2.51,
|
| 7527 |
+
"learning_rate": 0.0002,
|
| 7528 |
+
"loss": 0.5696,
|
| 7529 |
+
"step": 7920
|
| 7530 |
+
},
|
| 7531 |
+
{
|
| 7532 |
+
"epoch": 2.51,
|
| 7533 |
+
"learning_rate": 0.0002,
|
| 7534 |
+
"loss": 0.5812,
|
| 7535 |
+
"step": 7930
|
| 7536 |
+
},
|
| 7537 |
+
{
|
| 7538 |
+
"epoch": 2.52,
|
| 7539 |
+
"learning_rate": 0.0002,
|
| 7540 |
+
"loss": 0.5786,
|
| 7541 |
+
"step": 7940
|
| 7542 |
+
},
|
| 7543 |
+
{
|
| 7544 |
+
"epoch": 2.52,
|
| 7545 |
+
"learning_rate": 0.0002,
|
| 7546 |
+
"loss": 0.6053,
|
| 7547 |
+
"step": 7950
|
| 7548 |
+
},
|
| 7549 |
+
{
|
| 7550 |
+
"epoch": 2.52,
|
| 7551 |
+
"learning_rate": 0.0002,
|
| 7552 |
+
"loss": 0.5727,
|
| 7553 |
+
"step": 7960
|
| 7554 |
+
},
|
| 7555 |
+
{
|
| 7556 |
+
"epoch": 2.53,
|
| 7557 |
+
"learning_rate": 0.0002,
|
| 7558 |
+
"loss": 0.621,
|
| 7559 |
+
"step": 7970
|
| 7560 |
+
},
|
| 7561 |
+
{
|
| 7562 |
+
"epoch": 2.53,
|
| 7563 |
+
"learning_rate": 0.0002,
|
| 7564 |
+
"loss": 0.5679,
|
| 7565 |
+
"step": 7980
|
| 7566 |
+
},
|
| 7567 |
+
{
|
| 7568 |
+
"epoch": 2.53,
|
| 7569 |
+
"learning_rate": 0.0002,
|
| 7570 |
+
"loss": 0.6138,
|
| 7571 |
+
"step": 7990
|
| 7572 |
+
},
|
| 7573 |
+
{
|
| 7574 |
+
"epoch": 2.53,
|
| 7575 |
+
"learning_rate": 0.0002,
|
| 7576 |
+
"loss": 0.588,
|
| 7577 |
+
"step": 8000
|
| 7578 |
+
},
|
| 7579 |
+
{
|
| 7580 |
+
"epoch": 2.53,
|
| 7581 |
+
"eval_loss": 0.7585816979408264,
|
| 7582 |
+
"eval_runtime": 111.2835,
|
| 7583 |
+
"eval_samples_per_second": 8.986,
|
| 7584 |
+
"eval_steps_per_second": 4.493,
|
| 7585 |
+
"step": 8000
|
| 7586 |
+
},
|
| 7587 |
+
{
|
| 7588 |
+
"epoch": 2.53,
|
| 7589 |
+
"mmlu_eval_accuracy": 0.48589851563960756,
|
| 7590 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 7591 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 7592 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 7593 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 7594 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
| 7595 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 7596 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 7597 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 7598 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 7599 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 7600 |
+
"mmlu_eval_accuracy_college_physics": 0.18181818181818182,
|
| 7601 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 7602 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 7603 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 7604 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.375,
|
| 7605 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 7606 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
| 7607 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 7608 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 7609 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 7610 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 7611 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 7612 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 7613 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 7614 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
| 7615 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 7616 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
|
| 7617 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
| 7618 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.9,
|
| 7619 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 7620 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 7621 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
| 7622 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 7623 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 7624 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 7625 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 7626 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 7627 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 7628 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 7629 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 7630 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 7631 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
| 7632 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685,
|
| 7633 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 7634 |
+
"mmlu_eval_accuracy_nutrition": 0.48484848484848486,
|
| 7635 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 7636 |
+
"mmlu_eval_accuracy_prehistory": 0.5428571428571428,
|
| 7637 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
| 7638 |
+
"mmlu_eval_accuracy_professional_law": 0.3588235294117647,
|
| 7639 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
| 7640 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
| 7641 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 7642 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
| 7643 |
+
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
| 7644 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 7645 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 7646 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 7647 |
+
"mmlu_loss": 1.566373301120402,
|
| 7648 |
+
"step": 8000
|
| 7649 |
+
},
|
| 7650 |
+
{
|
| 7651 |
+
"epoch": 2.54,
|
| 7652 |
+
"learning_rate": 0.0002,
|
| 7653 |
+
"loss": 0.5624,
|
| 7654 |
+
"step": 8010
|
| 7655 |
+
},
|
| 7656 |
+
{
|
| 7657 |
+
"epoch": 2.54,
|
| 7658 |
+
"learning_rate": 0.0002,
|
| 7659 |
+
"loss": 0.6206,
|
| 7660 |
+
"step": 8020
|
| 7661 |
+
},
|
| 7662 |
+
{
|
| 7663 |
+
"epoch": 2.54,
|
| 7664 |
+
"learning_rate": 0.0002,
|
| 7665 |
+
"loss": 0.607,
|
| 7666 |
+
"step": 8030
|
| 7667 |
+
},
|
| 7668 |
+
{
|
| 7669 |
+
"epoch": 2.55,
|
| 7670 |
+
"learning_rate": 0.0002,
|
| 7671 |
+
"loss": 0.6344,
|
| 7672 |
+
"step": 8040
|
| 7673 |
+
},
|
| 7674 |
+
{
|
| 7675 |
+
"epoch": 2.55,
|
| 7676 |
+
"learning_rate": 0.0002,
|
| 7677 |
+
"loss": 0.6705,
|
| 7678 |
+
"step": 8050
|
| 7679 |
+
},
|
| 7680 |
+
{
|
| 7681 |
+
"epoch": 2.55,
|
| 7682 |
+
"learning_rate": 0.0002,
|
| 7683 |
+
"loss": 0.5679,
|
| 7684 |
+
"step": 8060
|
| 7685 |
+
},
|
| 7686 |
+
{
|
| 7687 |
+
"epoch": 2.56,
|
| 7688 |
+
"learning_rate": 0.0002,
|
| 7689 |
+
"loss": 0.6,
|
| 7690 |
+
"step": 8070
|
| 7691 |
+
},
|
| 7692 |
+
{
|
| 7693 |
+
"epoch": 2.56,
|
| 7694 |
+
"learning_rate": 0.0002,
|
| 7695 |
+
"loss": 0.6486,
|
| 7696 |
+
"step": 8080
|
| 7697 |
+
},
|
| 7698 |
+
{
|
| 7699 |
+
"epoch": 2.56,
|
| 7700 |
+
"learning_rate": 0.0002,
|
| 7701 |
+
"loss": 0.5959,
|
| 7702 |
+
"step": 8090
|
| 7703 |
+
},
|
| 7704 |
+
{
|
| 7705 |
+
"epoch": 2.57,
|
| 7706 |
+
"learning_rate": 0.0002,
|
| 7707 |
+
"loss": 0.6454,
|
| 7708 |
+
"step": 8100
|
| 7709 |
+
},
|
| 7710 |
+
{
|
| 7711 |
+
"epoch": 2.57,
|
| 7712 |
+
"learning_rate": 0.0002,
|
| 7713 |
+
"loss": 0.6085,
|
| 7714 |
+
"step": 8110
|
| 7715 |
+
},
|
| 7716 |
+
{
|
| 7717 |
+
"epoch": 2.57,
|
| 7718 |
+
"learning_rate": 0.0002,
|
| 7719 |
+
"loss": 0.5509,
|
| 7720 |
+
"step": 8120
|
| 7721 |
+
},
|
| 7722 |
+
{
|
| 7723 |
+
"epoch": 2.58,
|
| 7724 |
+
"learning_rate": 0.0002,
|
| 7725 |
+
"loss": 0.6267,
|
| 7726 |
+
"step": 8130
|
| 7727 |
+
},
|
| 7728 |
+
{
|
| 7729 |
+
"epoch": 2.58,
|
| 7730 |
+
"learning_rate": 0.0002,
|
| 7731 |
+
"loss": 0.5865,
|
| 7732 |
+
"step": 8140
|
| 7733 |
+
},
|
| 7734 |
+
{
|
| 7735 |
+
"epoch": 2.58,
|
| 7736 |
+
"learning_rate": 0.0002,
|
| 7737 |
+
"loss": 0.6002,
|
| 7738 |
+
"step": 8150
|
| 7739 |
+
},
|
| 7740 |
+
{
|
| 7741 |
+
"epoch": 2.59,
|
| 7742 |
+
"learning_rate": 0.0002,
|
| 7743 |
+
"loss": 0.6342,
|
| 7744 |
+
"step": 8160
|
| 7745 |
+
},
|
| 7746 |
+
{
|
| 7747 |
+
"epoch": 2.59,
|
| 7748 |
+
"learning_rate": 0.0002,
|
| 7749 |
+
"loss": 0.6312,
|
| 7750 |
+
"step": 8170
|
| 7751 |
+
},
|
| 7752 |
+
{
|
| 7753 |
+
"epoch": 2.59,
|
| 7754 |
+
"learning_rate": 0.0002,
|
| 7755 |
+
"loss": 0.6361,
|
| 7756 |
+
"step": 8180
|
| 7757 |
+
},
|
| 7758 |
+
{
|
| 7759 |
+
"epoch": 2.6,
|
| 7760 |
+
"learning_rate": 0.0002,
|
| 7761 |
+
"loss": 0.5676,
|
| 7762 |
+
"step": 8190
|
| 7763 |
+
},
|
| 7764 |
+
{
|
| 7765 |
+
"epoch": 2.6,
|
| 7766 |
+
"learning_rate": 0.0002,
|
| 7767 |
+
"loss": 0.6125,
|
| 7768 |
+
"step": 8200
|
| 7769 |
+
},
|
| 7770 |
+
{
|
| 7771 |
+
"epoch": 2.6,
|
| 7772 |
+
"eval_loss": 0.7568719387054443,
|
| 7773 |
+
"eval_runtime": 111.2374,
|
| 7774 |
+
"eval_samples_per_second": 8.99,
|
| 7775 |
+
"eval_steps_per_second": 4.495,
|
| 7776 |
+
"step": 8200
|
| 7777 |
+
},
|
| 7778 |
+
{
|
| 7779 |
+
"epoch": 2.6,
|
| 7780 |
+
"mmlu_eval_accuracy": 0.4699982014237092,
|
| 7781 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 7782 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 7783 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 7784 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 7785 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
|
| 7786 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 7787 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 7788 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 7789 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 7790 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 7791 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
| 7792 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 7793 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 7794 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 7795 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 7796 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 7797 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 7798 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
| 7799 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 7800 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 7801 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 7802 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 7803 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 7804 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 7805 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 7806 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
| 7807 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
| 7808 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
| 7809 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 7810 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
| 7811 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 7812 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
| 7813 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 7814 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 7815 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 7816 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 7817 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 7818 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
| 7819 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 7820 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 7821 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
| 7822 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 7823 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 7824 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 7825 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 7826 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
| 7827 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 7828 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
| 7829 |
+
"mmlu_eval_accuracy_professional_law": 0.3588235294117647,
|
| 7830 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
| 7831 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
| 7832 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 7833 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 7834 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 7835 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 7836 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 7837 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 7838 |
+
"mmlu_loss": 1.3685555242527248,
|
| 7839 |
+
"step": 8200
|
| 7840 |
+
},
|
| 7841 |
+
{
|
| 7842 |
+
"epoch": 2.6,
|
| 7843 |
+
"learning_rate": 0.0002,
|
| 7844 |
+
"loss": 0.5992,
|
| 7845 |
+
"step": 8210
|
| 7846 |
+
},
|
| 7847 |
+
{
|
| 7848 |
+
"epoch": 2.6,
|
| 7849 |
+
"learning_rate": 0.0002,
|
| 7850 |
+
"loss": 0.6068,
|
| 7851 |
+
"step": 8220
|
| 7852 |
+
},
|
| 7853 |
+
{
|
| 7854 |
+
"epoch": 2.61,
|
| 7855 |
+
"learning_rate": 0.0002,
|
| 7856 |
+
"loss": 0.6986,
|
| 7857 |
+
"step": 8230
|
| 7858 |
+
},
|
| 7859 |
+
{
|
| 7860 |
+
"epoch": 2.61,
|
| 7861 |
+
"learning_rate": 0.0002,
|
| 7862 |
+
"loss": 0.5809,
|
| 7863 |
+
"step": 8240
|
| 7864 |
+
},
|
| 7865 |
+
{
|
| 7866 |
+
"epoch": 2.61,
|
| 7867 |
+
"learning_rate": 0.0002,
|
| 7868 |
+
"loss": 0.6368,
|
| 7869 |
+
"step": 8250
|
| 7870 |
+
},
|
| 7871 |
+
{
|
| 7872 |
+
"epoch": 2.62,
|
| 7873 |
+
"learning_rate": 0.0002,
|
| 7874 |
+
"loss": 0.5731,
|
| 7875 |
+
"step": 8260
|
| 7876 |
+
},
|
| 7877 |
+
{
|
| 7878 |
+
"epoch": 2.62,
|
| 7879 |
+
"learning_rate": 0.0002,
|
| 7880 |
+
"loss": 0.6439,
|
| 7881 |
+
"step": 8270
|
| 7882 |
+
},
|
| 7883 |
+
{
|
| 7884 |
+
"epoch": 2.62,
|
| 7885 |
+
"learning_rate": 0.0002,
|
| 7886 |
+
"loss": 0.5661,
|
| 7887 |
+
"step": 8280
|
| 7888 |
+
},
|
| 7889 |
+
{
|
| 7890 |
+
"epoch": 2.63,
|
| 7891 |
+
"learning_rate": 0.0002,
|
| 7892 |
+
"loss": 0.5816,
|
| 7893 |
+
"step": 8290
|
| 7894 |
+
},
|
| 7895 |
+
{
|
| 7896 |
+
"epoch": 2.63,
|
| 7897 |
+
"learning_rate": 0.0002,
|
| 7898 |
+
"loss": 0.5385,
|
| 7899 |
+
"step": 8300
|
| 7900 |
+
},
|
| 7901 |
+
{
|
| 7902 |
+
"epoch": 2.63,
|
| 7903 |
+
"learning_rate": 0.0002,
|
| 7904 |
+
"loss": 0.5913,
|
| 7905 |
+
"step": 8310
|
| 7906 |
+
},
|
| 7907 |
+
{
|
| 7908 |
+
"epoch": 2.64,
|
| 7909 |
+
"learning_rate": 0.0002,
|
| 7910 |
+
"loss": 0.5817,
|
| 7911 |
+
"step": 8320
|
| 7912 |
+
},
|
| 7913 |
+
{
|
| 7914 |
+
"epoch": 2.64,
|
| 7915 |
+
"learning_rate": 0.0002,
|
| 7916 |
+
"loss": 0.6098,
|
| 7917 |
+
"step": 8330
|
| 7918 |
+
},
|
| 7919 |
+
{
|
| 7920 |
+
"epoch": 2.64,
|
| 7921 |
+
"learning_rate": 0.0002,
|
| 7922 |
+
"loss": 0.558,
|
| 7923 |
+
"step": 8340
|
| 7924 |
+
},
|
| 7925 |
+
{
|
| 7926 |
+
"epoch": 2.65,
|
| 7927 |
+
"learning_rate": 0.0002,
|
| 7928 |
+
"loss": 0.6008,
|
| 7929 |
+
"step": 8350
|
| 7930 |
+
},
|
| 7931 |
+
{
|
| 7932 |
+
"epoch": 2.65,
|
| 7933 |
+
"learning_rate": 0.0002,
|
| 7934 |
+
"loss": 0.5921,
|
| 7935 |
+
"step": 8360
|
| 7936 |
+
},
|
| 7937 |
+
{
|
| 7938 |
+
"epoch": 2.65,
|
| 7939 |
+
"learning_rate": 0.0002,
|
| 7940 |
+
"loss": 0.6194,
|
| 7941 |
+
"step": 8370
|
| 7942 |
+
},
|
| 7943 |
+
{
|
| 7944 |
+
"epoch": 2.66,
|
| 7945 |
+
"learning_rate": 0.0002,
|
| 7946 |
+
"loss": 0.6849,
|
| 7947 |
+
"step": 8380
|
| 7948 |
+
},
|
| 7949 |
+
{
|
| 7950 |
+
"epoch": 2.66,
|
| 7951 |
+
"learning_rate": 0.0002,
|
| 7952 |
+
"loss": 0.5851,
|
| 7953 |
+
"step": 8390
|
| 7954 |
+
},
|
| 7955 |
+
{
|
| 7956 |
+
"epoch": 2.66,
|
| 7957 |
+
"learning_rate": 0.0002,
|
| 7958 |
+
"loss": 0.5574,
|
| 7959 |
+
"step": 8400
|
| 7960 |
+
},
|
| 7961 |
+
{
|
| 7962 |
+
"epoch": 2.66,
|
| 7963 |
+
"eval_loss": 0.7574586868286133,
|
| 7964 |
+
"eval_runtime": 111.0853,
|
| 7965 |
+
"eval_samples_per_second": 9.002,
|
| 7966 |
+
"eval_steps_per_second": 4.501,
|
| 7967 |
+
"step": 8400
|
| 7968 |
+
},
|
| 7969 |
+
{
|
| 7970 |
+
"epoch": 2.66,
|
| 7971 |
+
"mmlu_eval_accuracy": 0.47813110611906134,
|
| 7972 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 7973 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
| 7974 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 7975 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 7976 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
|
| 7977 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 7978 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 7979 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 7980 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 7981 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 7982 |
+
"mmlu_eval_accuracy_college_physics": 0.18181818181818182,
|
| 7983 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 7984 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 7985 |
+
"mmlu_eval_accuracy_econometrics": 0.3333333333333333,
|
| 7986 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 7987 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 7988 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 7989 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
| 7990 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 7991 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 7992 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 7993 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 7994 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 7995 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 7996 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
| 7997 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 7998 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
|
| 7999 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
| 8000 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333,
|
| 8001 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 8002 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 8003 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 8004 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 8005 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 8006 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 8007 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 8008 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 8009 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
| 8010 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 8011 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
| 8012 |
+
"mmlu_eval_accuracy_medical_genetics": 0.8181818181818182,
|
| 8013 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 8014 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 8015 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 8016 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
| 8017 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
| 8018 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 8019 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
| 8020 |
+
"mmlu_eval_accuracy_professional_law": 0.3588235294117647,
|
| 8021 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 8022 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
| 8023 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 8024 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
| 8025 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 8026 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 8027 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 8028 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 8029 |
+
"mmlu_loss": 1.4071070384574622,
|
| 8030 |
+
"step": 8400
|
| 8031 |
+
},
|
| 8032 |
+
{
|
| 8033 |
+
"epoch": 2.66,
|
| 8034 |
+
"learning_rate": 0.0002,
|
| 8035 |
+
"loss": 0.5795,
|
| 8036 |
+
"step": 8410
|
| 8037 |
+
},
|
| 8038 |
+
{
|
| 8039 |
+
"epoch": 2.67,
|
| 8040 |
+
"learning_rate": 0.0002,
|
| 8041 |
+
"loss": 0.6109,
|
| 8042 |
+
"step": 8420
|
| 8043 |
+
},
|
| 8044 |
+
{
|
| 8045 |
+
"epoch": 2.67,
|
| 8046 |
+
"learning_rate": 0.0002,
|
| 8047 |
+
"loss": 0.6136,
|
| 8048 |
+
"step": 8430
|
| 8049 |
+
},
|
| 8050 |
+
{
|
| 8051 |
+
"epoch": 2.67,
|
| 8052 |
+
"learning_rate": 0.0002,
|
| 8053 |
+
"loss": 0.5795,
|
| 8054 |
+
"step": 8440
|
| 8055 |
+
},
|
| 8056 |
+
{
|
| 8057 |
+
"epoch": 2.68,
|
| 8058 |
+
"learning_rate": 0.0002,
|
| 8059 |
+
"loss": 0.5639,
|
| 8060 |
+
"step": 8450
|
| 8061 |
+
},
|
| 8062 |
+
{
|
| 8063 |
+
"epoch": 2.68,
|
| 8064 |
+
"learning_rate": 0.0002,
|
| 8065 |
+
"loss": 0.5869,
|
| 8066 |
+
"step": 8460
|
| 8067 |
+
},
|
| 8068 |
+
{
|
| 8069 |
+
"epoch": 2.68,
|
| 8070 |
+
"learning_rate": 0.0002,
|
| 8071 |
+
"loss": 0.5946,
|
| 8072 |
+
"step": 8470
|
| 8073 |
+
},
|
| 8074 |
+
{
|
| 8075 |
+
"epoch": 2.69,
|
| 8076 |
+
"learning_rate": 0.0002,
|
| 8077 |
+
"loss": 0.5745,
|
| 8078 |
+
"step": 8480
|
| 8079 |
+
},
|
| 8080 |
+
{
|
| 8081 |
+
"epoch": 2.69,
|
| 8082 |
+
"learning_rate": 0.0002,
|
| 8083 |
+
"loss": 0.573,
|
| 8084 |
+
"step": 8490
|
| 8085 |
+
},
|
| 8086 |
+
{
|
| 8087 |
+
"epoch": 2.69,
|
| 8088 |
+
"learning_rate": 0.0002,
|
| 8089 |
+
"loss": 0.5846,
|
| 8090 |
+
"step": 8500
|
| 8091 |
+
},
|
| 8092 |
+
{
|
| 8093 |
+
"epoch": 2.7,
|
| 8094 |
+
"learning_rate": 0.0002,
|
| 8095 |
+
"loss": 0.6058,
|
| 8096 |
+
"step": 8510
|
| 8097 |
+
},
|
| 8098 |
+
{
|
| 8099 |
+
"epoch": 2.7,
|
| 8100 |
+
"learning_rate": 0.0002,
|
| 8101 |
+
"loss": 0.5072,
|
| 8102 |
+
"step": 8520
|
| 8103 |
+
},
|
| 8104 |
+
{
|
| 8105 |
+
"epoch": 2.7,
|
| 8106 |
+
"learning_rate": 0.0002,
|
| 8107 |
+
"loss": 0.6296,
|
| 8108 |
+
"step": 8530
|
| 8109 |
+
},
|
| 8110 |
+
{
|
| 8111 |
+
"epoch": 2.71,
|
| 8112 |
+
"learning_rate": 0.0002,
|
| 8113 |
+
"loss": 0.6057,
|
| 8114 |
+
"step": 8540
|
| 8115 |
+
},
|
| 8116 |
+
{
|
| 8117 |
+
"epoch": 2.71,
|
| 8118 |
+
"learning_rate": 0.0002,
|
| 8119 |
+
"loss": 0.544,
|
| 8120 |
+
"step": 8550
|
| 8121 |
+
},
|
| 8122 |
+
{
|
| 8123 |
+
"epoch": 2.71,
|
| 8124 |
+
"learning_rate": 0.0002,
|
| 8125 |
+
"loss": 0.6256,
|
| 8126 |
+
"step": 8560
|
| 8127 |
+
},
|
| 8128 |
+
{
|
| 8129 |
+
"epoch": 2.72,
|
| 8130 |
+
"learning_rate": 0.0002,
|
| 8131 |
+
"loss": 0.6307,
|
| 8132 |
+
"step": 8570
|
| 8133 |
+
},
|
| 8134 |
+
{
|
| 8135 |
+
"epoch": 2.72,
|
| 8136 |
+
"learning_rate": 0.0002,
|
| 8137 |
+
"loss": 0.5717,
|
| 8138 |
+
"step": 8580
|
| 8139 |
+
},
|
| 8140 |
+
{
|
| 8141 |
+
"epoch": 2.72,
|
| 8142 |
+
"learning_rate": 0.0002,
|
| 8143 |
+
"loss": 0.5946,
|
| 8144 |
+
"step": 8590
|
| 8145 |
+
},
|
| 8146 |
+
{
|
| 8147 |
+
"epoch": 2.72,
|
| 8148 |
+
"learning_rate": 0.0002,
|
| 8149 |
+
"loss": 0.6025,
|
| 8150 |
+
"step": 8600
|
| 8151 |
+
},
|
| 8152 |
+
{
|
| 8153 |
+
"epoch": 2.72,
|
| 8154 |
+
"eval_loss": 0.7557567358016968,
|
| 8155 |
+
"eval_runtime": 111.5506,
|
| 8156 |
+
"eval_samples_per_second": 8.965,
|
| 8157 |
+
"eval_steps_per_second": 4.482,
|
| 8158 |
+
"step": 8600
|
| 8159 |
+
},
|
| 8160 |
+
{
|
| 8161 |
+
"epoch": 2.72,
|
| 8162 |
+
"mmlu_eval_accuracy": 0.4768331170577644,
|
| 8163 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 8164 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 8165 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 8166 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 8167 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241,
|
| 8168 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 8169 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 8170 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 8171 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 8172 |
+
"mmlu_eval_accuracy_college_medicine": 0.5,
|
| 8173 |
+
"mmlu_eval_accuracy_college_physics": 0.18181818181818182,
|
| 8174 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 8175 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 8176 |
+
"mmlu_eval_accuracy_econometrics": 0.3333333333333333,
|
| 8177 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 8178 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 8179 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 8180 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
| 8181 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 8182 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 8183 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 8184 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 8185 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
| 8186 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 8187 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
| 8188 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 8189 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 8190 |
+
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
|
| 8191 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.9,
|
| 8192 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
| 8193 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 8194 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 8195 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 8196 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 8197 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 8198 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 8199 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 8200 |
+
"mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
|
| 8201 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 8202 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
| 8203 |
+
"mmlu_eval_accuracy_medical_genetics": 0.8181818181818182,
|
| 8204 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 8205 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
|
| 8206 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
| 8207 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
| 8208 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
| 8209 |
+
"mmlu_eval_accuracy_prehistory": 0.5428571428571428,
|
| 8210 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
| 8211 |
+
"mmlu_eval_accuracy_professional_law": 0.3352941176470588,
|
| 8212 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 8213 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
| 8214 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 8215 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
| 8216 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
| 8217 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 8218 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 8219 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 8220 |
+
"mmlu_loss": 1.4071306704152036,
|
| 8221 |
+
"step": 8600
|
| 8222 |
+
},
|
| 8223 |
+
{
|
| 8224 |
+
"epoch": 2.73,
|
| 8225 |
+
"learning_rate": 0.0002,
|
| 8226 |
+
"loss": 0.6607,
|
| 8227 |
+
"step": 8610
|
| 8228 |
+
},
|
| 8229 |
+
{
|
| 8230 |
+
"epoch": 2.73,
|
| 8231 |
+
"learning_rate": 0.0002,
|
| 8232 |
+
"loss": 0.6087,
|
| 8233 |
+
"step": 8620
|
| 8234 |
+
},
|
| 8235 |
+
{
|
| 8236 |
+
"epoch": 2.73,
|
| 8237 |
+
"learning_rate": 0.0002,
|
| 8238 |
+
"loss": 0.6077,
|
| 8239 |
+
"step": 8630
|
| 8240 |
+
},
|
| 8241 |
+
{
|
| 8242 |
+
"epoch": 2.74,
|
| 8243 |
+
"learning_rate": 0.0002,
|
| 8244 |
+
"loss": 0.5746,
|
| 8245 |
+
"step": 8640
|
| 8246 |
+
},
|
| 8247 |
+
{
|
| 8248 |
+
"epoch": 2.74,
|
| 8249 |
+
"learning_rate": 0.0002,
|
| 8250 |
+
"loss": 0.6372,
|
| 8251 |
+
"step": 8650
|
| 8252 |
+
},
|
| 8253 |
+
{
|
| 8254 |
+
"epoch": 2.74,
|
| 8255 |
+
"learning_rate": 0.0002,
|
| 8256 |
+
"loss": 0.603,
|
| 8257 |
+
"step": 8660
|
| 8258 |
+
},
|
| 8259 |
+
{
|
| 8260 |
+
"epoch": 2.75,
|
| 8261 |
+
"learning_rate": 0.0002,
|
| 8262 |
+
"loss": 0.5913,
|
| 8263 |
+
"step": 8670
|
| 8264 |
+
},
|
| 8265 |
+
{
|
| 8266 |
+
"epoch": 2.75,
|
| 8267 |
+
"learning_rate": 0.0002,
|
| 8268 |
+
"loss": 0.664,
|
| 8269 |
+
"step": 8680
|
| 8270 |
+
},
|
| 8271 |
+
{
|
| 8272 |
+
"epoch": 2.75,
|
| 8273 |
+
"learning_rate": 0.0002,
|
| 8274 |
+
"loss": 0.5766,
|
| 8275 |
+
"step": 8690
|
| 8276 |
+
},
|
| 8277 |
+
{
|
| 8278 |
+
"epoch": 2.76,
|
| 8279 |
+
"learning_rate": 0.0002,
|
| 8280 |
+
"loss": 0.6316,
|
| 8281 |
+
"step": 8700
|
| 8282 |
+
},
|
| 8283 |
+
{
|
| 8284 |
+
"epoch": 2.76,
|
| 8285 |
+
"learning_rate": 0.0002,
|
| 8286 |
+
"loss": 0.5913,
|
| 8287 |
+
"step": 8710
|
| 8288 |
+
},
|
| 8289 |
+
{
|
| 8290 |
+
"epoch": 2.76,
|
| 8291 |
+
"learning_rate": 0.0002,
|
| 8292 |
+
"loss": 0.5974,
|
| 8293 |
+
"step": 8720
|
| 8294 |
+
},
|
| 8295 |
+
{
|
| 8296 |
+
"epoch": 2.77,
|
| 8297 |
+
"learning_rate": 0.0002,
|
| 8298 |
+
"loss": 0.6519,
|
| 8299 |
+
"step": 8730
|
| 8300 |
+
},
|
| 8301 |
+
{
|
| 8302 |
+
"epoch": 2.77,
|
| 8303 |
+
"learning_rate": 0.0002,
|
| 8304 |
+
"loss": 0.6502,
|
| 8305 |
+
"step": 8740
|
| 8306 |
+
},
|
| 8307 |
+
{
|
| 8308 |
+
"epoch": 2.77,
|
| 8309 |
+
"learning_rate": 0.0002,
|
| 8310 |
+
"loss": 0.6069,
|
| 8311 |
+
"step": 8750
|
| 8312 |
+
},
|
| 8313 |
+
{
|
| 8314 |
+
"epoch": 2.78,
|
| 8315 |
+
"learning_rate": 0.0002,
|
| 8316 |
+
"loss": 0.6073,
|
| 8317 |
+
"step": 8760
|
| 8318 |
+
},
|
| 8319 |
+
{
|
| 8320 |
+
"epoch": 2.78,
|
| 8321 |
+
"learning_rate": 0.0002,
|
| 8322 |
+
"loss": 0.5314,
|
| 8323 |
+
"step": 8770
|
| 8324 |
+
},
|
| 8325 |
+
{
|
| 8326 |
+
"epoch": 2.78,
|
| 8327 |
+
"learning_rate": 0.0002,
|
| 8328 |
+
"loss": 0.6515,
|
| 8329 |
+
"step": 8780
|
| 8330 |
+
},
|
| 8331 |
+
{
|
| 8332 |
+
"epoch": 2.79,
|
| 8333 |
+
"learning_rate": 0.0002,
|
| 8334 |
+
"loss": 0.6515,
|
| 8335 |
+
"step": 8790
|
| 8336 |
+
},
|
| 8337 |
+
{
|
| 8338 |
+
"epoch": 2.79,
|
| 8339 |
+
"learning_rate": 0.0002,
|
| 8340 |
+
"loss": 0.6188,
|
| 8341 |
+
"step": 8800
|
| 8342 |
+
},
|
| 8343 |
+
{
|
| 8344 |
+
"epoch": 2.79,
|
| 8345 |
+
"eval_loss": 0.7575909495353699,
|
| 8346 |
+
"eval_runtime": 111.2733,
|
| 8347 |
+
"eval_samples_per_second": 8.987,
|
| 8348 |
+
"eval_steps_per_second": 4.493,
|
| 8349 |
+
"step": 8800
|
| 8350 |
+
},
|
| 8351 |
+
{
|
| 8352 |
+
"epoch": 2.79,
|
| 8353 |
+
"mmlu_eval_accuracy": 0.489029874622582,
|
| 8354 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 8355 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 8356 |
+
"mmlu_eval_accuracy_astronomy": 0.375,
|
| 8357 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 8358 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138,
|
| 8359 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 8360 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
| 8361 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 8362 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 8363 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 8364 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
| 8365 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
| 8366 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 8367 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 8368 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 8369 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 8370 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 8371 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 8372 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 8373 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 8374 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 8375 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 8376 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 8377 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 8378 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442,
|
| 8379 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
| 8380 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
| 8381 |
+
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
|
| 8382 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 8383 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
| 8384 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 8385 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
|
| 8386 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 8387 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 8388 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 8389 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 8390 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 8391 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 8392 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 8393 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 8394 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 8395 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 8396 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
| 8397 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.27,
|
| 8398 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 8399 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 8400 |
+
"mmlu_eval_accuracy_prehistory": 0.6285714285714286,
|
| 8401 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 8402 |
+
"mmlu_eval_accuracy_professional_law": 0.3588235294117647,
|
| 8403 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 8404 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
| 8405 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 8406 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 8407 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
| 8408 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 8409 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 8410 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 8411 |
+
"mmlu_loss": 1.3448165364505105,
|
| 8412 |
+
"step": 8800
|
| 8413 |
}
|
| 8414 |
],
|
| 8415 |
"max_steps": 10000,
|
| 8416 |
"num_train_epochs": 4,
|
| 8417 |
+
"total_flos": 2.672155898548568e+18,
|
| 8418 |
"trial_name": null,
|
| 8419 |
"trial_params": null
|
| 8420 |
}
|
{checkpoint-6800 → checkpoint-8800}/training_args.bin
RENAMED
|
File without changes
|