End of training
Browse files- README.md +14 -2
- all_results.json +15 -0
- eval_results.json +10 -0
- tokenizer.json +1 -6
- train_results.json +8 -0
- trainer_state.json +616 -0
README.md
CHANGED
|
@@ -3,11 +3,23 @@ license: llama2
|
|
| 3 |
base_model: meta-llama/Llama-2-7b-hf
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
metrics:
|
| 7 |
- accuracy
|
| 8 |
model-index:
|
| 9 |
- name: lmind_hotpot_train8000_eval7405_v1_docidx_meta-llama_Llama-2-7b-hf_lora2
|
| 10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -15,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# lmind_hotpot_train8000_eval7405_v1_docidx_meta-llama_Llama-2-7b-hf_lora2
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.7676
|
| 21 |
- Accuracy: 0.7929
|
|
|
|
| 3 |
base_model: meta-llama/Llama-2-7b-hf
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- tyzhu/lmind_hotpot_train8000_eval7405_v1_docidx
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
| 10 |
model-index:
|
| 11 |
- name: lmind_hotpot_train8000_eval7405_v1_docidx_meta-llama_Llama-2-7b-hf_lora2
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Causal Language Modeling
|
| 15 |
+
type: text-generation
|
| 16 |
+
dataset:
|
| 17 |
+
name: tyzhu/lmind_hotpot_train8000_eval7405_v1_docidx
|
| 18 |
+
type: tyzhu/lmind_hotpot_train8000_eval7405_v1_docidx
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Accuracy
|
| 21 |
+
type: accuracy
|
| 22 |
+
value: 0.7928508287292818
|
| 23 |
---
|
| 24 |
|
| 25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 27 |
|
| 28 |
# lmind_hotpot_train8000_eval7405_v1_docidx_meta-llama_Llama-2-7b-hf_lora2
|
| 29 |
|
| 30 |
+
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the tyzhu/lmind_hotpot_train8000_eval7405_v1_docidx dataset.
|
| 31 |
It achieves the following results on the evaluation set:
|
| 32 |
- Loss: 0.7676
|
| 33 |
- Accuracy: 0.7929
|
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.7928508287292818,
|
| 4 |
+
"eval_loss": 0.7676272392272949,
|
| 5 |
+
"eval_runtime": 8.241,
|
| 6 |
+
"eval_samples": 500,
|
| 7 |
+
"eval_samples_per_second": 60.672,
|
| 8 |
+
"eval_steps_per_second": 7.645,
|
| 9 |
+
"perplexity": 2.1546477200691716,
|
| 10 |
+
"train_loss": 0.750629533715413,
|
| 11 |
+
"train_runtime": 6999.9579,
|
| 12 |
+
"train_samples": 26854,
|
| 13 |
+
"train_samples_per_second": 38.363,
|
| 14 |
+
"train_steps_per_second": 1.199
|
| 15 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.7928508287292818,
|
| 4 |
+
"eval_loss": 0.7676272392272949,
|
| 5 |
+
"eval_runtime": 8.241,
|
| 6 |
+
"eval_samples": 500,
|
| 7 |
+
"eval_samples_per_second": 60.672,
|
| 8 |
+
"eval_steps_per_second": 7.645,
|
| 9 |
+
"perplexity": 2.1546477200691716
|
| 10 |
+
}
|
tokenizer.json
CHANGED
|
@@ -1,11 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
-
"truncation":
|
| 4 |
-
"direction": "Right",
|
| 5 |
-
"max_length": 1024,
|
| 6 |
-
"strategy": "LongestFirst",
|
| 7 |
-
"stride": 0
|
| 8 |
-
},
|
| 9 |
"padding": null,
|
| 10 |
"added_tokens": [
|
| 11 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
"padding": null,
|
| 5 |
"added_tokens": [
|
| 6 |
{
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"train_loss": 0.750629533715413,
|
| 4 |
+
"train_runtime": 6999.9579,
|
| 5 |
+
"train_samples": 26854,
|
| 6 |
+
"train_samples_per_second": 38.363,
|
| 7 |
+
"train_steps_per_second": 1.199
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,616 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 9.997021149836163,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8390,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.12,
|
| 13 |
+
"learning_rate": 0.0001,
|
| 14 |
+
"loss": 1.2512,
|
| 15 |
+
"step": 100
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.24,
|
| 19 |
+
"learning_rate": 0.0001,
|
| 20 |
+
"loss": 1.1216,
|
| 21 |
+
"step": 200
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.36,
|
| 25 |
+
"learning_rate": 0.0001,
|
| 26 |
+
"loss": 1.1222,
|
| 27 |
+
"step": 300
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.48,
|
| 31 |
+
"learning_rate": 0.0001,
|
| 32 |
+
"loss": 1.1035,
|
| 33 |
+
"step": 400
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.6,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 1.1224,
|
| 39 |
+
"step": 500
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.71,
|
| 43 |
+
"learning_rate": 0.0001,
|
| 44 |
+
"loss": 1.1125,
|
| 45 |
+
"step": 600
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.83,
|
| 49 |
+
"learning_rate": 0.0001,
|
| 50 |
+
"loss": 1.1132,
|
| 51 |
+
"step": 700
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.95,
|
| 55 |
+
"learning_rate": 0.0001,
|
| 56 |
+
"loss": 1.108,
|
| 57 |
+
"step": 800
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 1.0,
|
| 61 |
+
"eval_accuracy": 0.7537090239410681,
|
| 62 |
+
"eval_loss": 1.3251845836639404,
|
| 63 |
+
"eval_runtime": 7.4484,
|
| 64 |
+
"eval_samples_per_second": 67.128,
|
| 65 |
+
"eval_steps_per_second": 8.458,
|
| 66 |
+
"step": 839
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 1.07,
|
| 70 |
+
"learning_rate": 0.0001,
|
| 71 |
+
"loss": 1.0901,
|
| 72 |
+
"step": 900
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 1.19,
|
| 76 |
+
"learning_rate": 0.0001,
|
| 77 |
+
"loss": 1.0699,
|
| 78 |
+
"step": 1000
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 1.31,
|
| 82 |
+
"learning_rate": 0.0001,
|
| 83 |
+
"loss": 1.0637,
|
| 84 |
+
"step": 1100
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 1.43,
|
| 88 |
+
"learning_rate": 0.0001,
|
| 89 |
+
"loss": 1.0632,
|
| 90 |
+
"step": 1200
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 1.55,
|
| 94 |
+
"learning_rate": 0.0001,
|
| 95 |
+
"loss": 1.0595,
|
| 96 |
+
"step": 1300
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 1.67,
|
| 100 |
+
"learning_rate": 0.0001,
|
| 101 |
+
"loss": 1.0783,
|
| 102 |
+
"step": 1400
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.79,
|
| 106 |
+
"learning_rate": 0.0001,
|
| 107 |
+
"loss": 1.0591,
|
| 108 |
+
"step": 1500
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 1.91,
|
| 112 |
+
"learning_rate": 0.0001,
|
| 113 |
+
"loss": 1.0489,
|
| 114 |
+
"step": 1600
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 2.0,
|
| 118 |
+
"eval_accuracy": 0.7580478821362799,
|
| 119 |
+
"eval_loss": 1.2689599990844727,
|
| 120 |
+
"eval_runtime": 8.4463,
|
| 121 |
+
"eval_samples_per_second": 59.197,
|
| 122 |
+
"eval_steps_per_second": 7.459,
|
| 123 |
+
"step": 1678
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 2.03,
|
| 127 |
+
"learning_rate": 0.0001,
|
| 128 |
+
"loss": 1.0488,
|
| 129 |
+
"step": 1700
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 2.14,
|
| 133 |
+
"learning_rate": 0.0001,
|
| 134 |
+
"loss": 0.9965,
|
| 135 |
+
"step": 1800
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 2.26,
|
| 139 |
+
"learning_rate": 0.0001,
|
| 140 |
+
"loss": 0.9732,
|
| 141 |
+
"step": 1900
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 2.38,
|
| 145 |
+
"learning_rate": 0.0001,
|
| 146 |
+
"loss": 0.99,
|
| 147 |
+
"step": 2000
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 2.5,
|
| 151 |
+
"learning_rate": 0.0001,
|
| 152 |
+
"loss": 0.9894,
|
| 153 |
+
"step": 2100
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.62,
|
| 157 |
+
"learning_rate": 0.0001,
|
| 158 |
+
"loss": 0.9778,
|
| 159 |
+
"step": 2200
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 2.74,
|
| 163 |
+
"learning_rate": 0.0001,
|
| 164 |
+
"loss": 0.9737,
|
| 165 |
+
"step": 2300
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 2.86,
|
| 169 |
+
"learning_rate": 0.0001,
|
| 170 |
+
"loss": 0.9884,
|
| 171 |
+
"step": 2400
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 2.98,
|
| 175 |
+
"learning_rate": 0.0001,
|
| 176 |
+
"loss": 0.9812,
|
| 177 |
+
"step": 2500
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 3.0,
|
| 181 |
+
"eval_accuracy": 0.763097605893186,
|
| 182 |
+
"eval_loss": 1.160219669342041,
|
| 183 |
+
"eval_runtime": 8.5129,
|
| 184 |
+
"eval_samples_per_second": 58.735,
|
| 185 |
+
"eval_steps_per_second": 7.401,
|
| 186 |
+
"step": 2517
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 3.1,
|
| 190 |
+
"learning_rate": 0.0001,
|
| 191 |
+
"loss": 0.9032,
|
| 192 |
+
"step": 2600
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 3.22,
|
| 196 |
+
"learning_rate": 0.0001,
|
| 197 |
+
"loss": 0.8814,
|
| 198 |
+
"step": 2700
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 3.34,
|
| 202 |
+
"learning_rate": 0.0001,
|
| 203 |
+
"loss": 0.875,
|
| 204 |
+
"step": 2800
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 3.46,
|
| 208 |
+
"learning_rate": 0.0001,
|
| 209 |
+
"loss": 0.8893,
|
| 210 |
+
"step": 2900
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 3.57,
|
| 214 |
+
"learning_rate": 0.0001,
|
| 215 |
+
"loss": 0.8892,
|
| 216 |
+
"step": 3000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 3.69,
|
| 220 |
+
"learning_rate": 0.0001,
|
| 221 |
+
"loss": 0.8681,
|
| 222 |
+
"step": 3100
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 3.81,
|
| 226 |
+
"learning_rate": 0.0001,
|
| 227 |
+
"loss": 0.892,
|
| 228 |
+
"step": 3200
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 3.93,
|
| 232 |
+
"learning_rate": 0.0001,
|
| 233 |
+
"loss": 0.902,
|
| 234 |
+
"step": 3300
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 4.0,
|
| 238 |
+
"eval_accuracy": 0.767915285451197,
|
| 239 |
+
"eval_loss": 1.098110556602478,
|
| 240 |
+
"eval_runtime": 8.2233,
|
| 241 |
+
"eval_samples_per_second": 60.803,
|
| 242 |
+
"eval_steps_per_second": 7.661,
|
| 243 |
+
"step": 3357
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 4.05,
|
| 247 |
+
"learning_rate": 0.0001,
|
| 248 |
+
"loss": 0.8432,
|
| 249 |
+
"step": 3400
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 4.17,
|
| 253 |
+
"learning_rate": 0.0001,
|
| 254 |
+
"loss": 0.7736,
|
| 255 |
+
"step": 3500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 4.29,
|
| 259 |
+
"learning_rate": 0.0001,
|
| 260 |
+
"loss": 0.7731,
|
| 261 |
+
"step": 3600
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 4.41,
|
| 265 |
+
"learning_rate": 0.0001,
|
| 266 |
+
"loss": 0.7997,
|
| 267 |
+
"step": 3700
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 4.53,
|
| 271 |
+
"learning_rate": 0.0001,
|
| 272 |
+
"loss": 0.7945,
|
| 273 |
+
"step": 3800
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 4.65,
|
| 277 |
+
"learning_rate": 0.0001,
|
| 278 |
+
"loss": 0.7807,
|
| 279 |
+
"step": 3900
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 4.77,
|
| 283 |
+
"learning_rate": 0.0001,
|
| 284 |
+
"loss": 0.8013,
|
| 285 |
+
"step": 4000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 4.89,
|
| 289 |
+
"learning_rate": 0.0001,
|
| 290 |
+
"loss": 0.8047,
|
| 291 |
+
"step": 4100
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 5.0,
|
| 295 |
+
"eval_accuracy": 0.7726629834254144,
|
| 296 |
+
"eval_loss": 1.0106405019760132,
|
| 297 |
+
"eval_runtime": 8.385,
|
| 298 |
+
"eval_samples_per_second": 59.631,
|
| 299 |
+
"eval_steps_per_second": 7.513,
|
| 300 |
+
"step": 4196
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 5.0,
|
| 304 |
+
"learning_rate": 0.0001,
|
| 305 |
+
"loss": 0.7922,
|
| 306 |
+
"step": 4200
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 5.12,
|
| 310 |
+
"learning_rate": 0.0001,
|
| 311 |
+
"loss": 0.6729,
|
| 312 |
+
"step": 4300
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 5.24,
|
| 316 |
+
"learning_rate": 0.0001,
|
| 317 |
+
"loss": 0.6862,
|
| 318 |
+
"step": 4400
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 5.36,
|
| 322 |
+
"learning_rate": 0.0001,
|
| 323 |
+
"loss": 0.7017,
|
| 324 |
+
"step": 4500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 5.48,
|
| 328 |
+
"learning_rate": 0.0001,
|
| 329 |
+
"loss": 0.7026,
|
| 330 |
+
"step": 4600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 5.6,
|
| 334 |
+
"learning_rate": 0.0001,
|
| 335 |
+
"loss": 0.696,
|
| 336 |
+
"step": 4700
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 5.72,
|
| 340 |
+
"learning_rate": 0.0001,
|
| 341 |
+
"loss": 0.6963,
|
| 342 |
+
"step": 4800
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 5.84,
|
| 346 |
+
"learning_rate": 0.0001,
|
| 347 |
+
"loss": 0.6963,
|
| 348 |
+
"step": 4900
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 5.96,
|
| 352 |
+
"learning_rate": 0.0001,
|
| 353 |
+
"loss": 0.7028,
|
| 354 |
+
"step": 5000
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 6.0,
|
| 358 |
+
"eval_accuracy": 0.7776611418047882,
|
| 359 |
+
"eval_loss": 0.9447547793388367,
|
| 360 |
+
"eval_runtime": 7.5604,
|
| 361 |
+
"eval_samples_per_second": 66.134,
|
| 362 |
+
"eval_steps_per_second": 8.333,
|
| 363 |
+
"step": 5035
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 6.08,
|
| 367 |
+
"learning_rate": 0.0001,
|
| 368 |
+
"loss": 0.645,
|
| 369 |
+
"step": 5100
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 6.2,
|
| 373 |
+
"learning_rate": 0.0001,
|
| 374 |
+
"loss": 0.5865,
|
| 375 |
+
"step": 5200
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 6.32,
|
| 379 |
+
"learning_rate": 0.0001,
|
| 380 |
+
"loss": 0.5926,
|
| 381 |
+
"step": 5300
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 6.43,
|
| 385 |
+
"learning_rate": 0.0001,
|
| 386 |
+
"loss": 0.6205,
|
| 387 |
+
"step": 5400
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 6.55,
|
| 391 |
+
"learning_rate": 0.0001,
|
| 392 |
+
"loss": 0.5919,
|
| 393 |
+
"step": 5500
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 6.67,
|
| 397 |
+
"learning_rate": 0.0001,
|
| 398 |
+
"loss": 0.6014,
|
| 399 |
+
"step": 5600
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 6.79,
|
| 403 |
+
"learning_rate": 0.0001,
|
| 404 |
+
"loss": 0.6239,
|
| 405 |
+
"step": 5700
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 6.91,
|
| 409 |
+
"learning_rate": 0.0001,
|
| 410 |
+
"loss": 0.6141,
|
| 411 |
+
"step": 5800
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 7.0,
|
| 415 |
+
"eval_accuracy": 0.7818011049723756,
|
| 416 |
+
"eval_loss": 0.87887042760849,
|
| 417 |
+
"eval_runtime": 8.2091,
|
| 418 |
+
"eval_samples_per_second": 60.908,
|
| 419 |
+
"eval_steps_per_second": 7.674,
|
| 420 |
+
"step": 5874
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 7.03,
|
| 424 |
+
"learning_rate": 0.0001,
|
| 425 |
+
"loss": 0.5949,
|
| 426 |
+
"step": 5900
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 7.15,
|
| 430 |
+
"learning_rate": 0.0001,
|
| 431 |
+
"loss": 0.4956,
|
| 432 |
+
"step": 6000
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 7.27,
|
| 436 |
+
"learning_rate": 0.0001,
|
| 437 |
+
"loss": 0.5174,
|
| 438 |
+
"step": 6100
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 7.39,
|
| 442 |
+
"learning_rate": 0.0001,
|
| 443 |
+
"loss": 0.5071,
|
| 444 |
+
"step": 6200
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 7.51,
|
| 448 |
+
"learning_rate": 0.0001,
|
| 449 |
+
"loss": 0.5261,
|
| 450 |
+
"step": 6300
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 7.63,
|
| 454 |
+
"learning_rate": 0.0001,
|
| 455 |
+
"loss": 0.5203,
|
| 456 |
+
"step": 6400
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 7.75,
|
| 460 |
+
"learning_rate": 0.0001,
|
| 461 |
+
"loss": 0.5369,
|
| 462 |
+
"step": 6500
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 7.86,
|
| 466 |
+
"learning_rate": 0.0001,
|
| 467 |
+
"loss": 0.5414,
|
| 468 |
+
"step": 6600
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 7.98,
|
| 472 |
+
"learning_rate": 0.0001,
|
| 473 |
+
"loss": 0.5393,
|
| 474 |
+
"step": 6700
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 8.0,
|
| 478 |
+
"eval_accuracy": 0.7858710865561694,
|
| 479 |
+
"eval_loss": 0.8736603856086731,
|
| 480 |
+
"eval_runtime": 7.5811,
|
| 481 |
+
"eval_samples_per_second": 65.954,
|
| 482 |
+
"eval_steps_per_second": 8.31,
|
| 483 |
+
"step": 6714
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 8.1,
|
| 487 |
+
"learning_rate": 0.0001,
|
| 488 |
+
"loss": 0.448,
|
| 489 |
+
"step": 6800
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 8.22,
|
| 493 |
+
"learning_rate": 0.0001,
|
| 494 |
+
"loss": 0.4347,
|
| 495 |
+
"step": 6900
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 8.34,
|
| 499 |
+
"learning_rate": 0.0001,
|
| 500 |
+
"loss": 0.4397,
|
| 501 |
+
"step": 7000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 8.46,
|
| 505 |
+
"learning_rate": 0.0001,
|
| 506 |
+
"loss": 0.4468,
|
| 507 |
+
"step": 7100
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 8.58,
|
| 511 |
+
"learning_rate": 0.0001,
|
| 512 |
+
"loss": 0.4477,
|
| 513 |
+
"step": 7200
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 8.7,
|
| 517 |
+
"learning_rate": 0.0001,
|
| 518 |
+
"loss": 0.449,
|
| 519 |
+
"step": 7300
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 8.82,
|
| 523 |
+
"learning_rate": 0.0001,
|
| 524 |
+
"loss": 0.4498,
|
| 525 |
+
"step": 7400
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 8.94,
|
| 529 |
+
"learning_rate": 0.0001,
|
| 530 |
+
"loss": 0.4595,
|
| 531 |
+
"step": 7500
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 9.0,
|
| 535 |
+
"eval_accuracy": 0.7895580110497238,
|
| 536 |
+
"eval_loss": 0.8018783926963806,
|
| 537 |
+
"eval_runtime": 8.3817,
|
| 538 |
+
"eval_samples_per_second": 59.654,
|
| 539 |
+
"eval_steps_per_second": 7.516,
|
| 540 |
+
"step": 7553
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 9.06,
|
| 544 |
+
"learning_rate": 0.0001,
|
| 545 |
+
"loss": 0.4064,
|
| 546 |
+
"step": 7600
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 9.17,
|
| 550 |
+
"learning_rate": 0.0001,
|
| 551 |
+
"loss": 0.3644,
|
| 552 |
+
"step": 7700
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 9.29,
|
| 556 |
+
"learning_rate": 0.0001,
|
| 557 |
+
"loss": 0.3693,
|
| 558 |
+
"step": 7800
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 9.41,
|
| 562 |
+
"learning_rate": 0.0001,
|
| 563 |
+
"loss": 0.3776,
|
| 564 |
+
"step": 7900
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 9.53,
|
| 568 |
+
"learning_rate": 0.0001,
|
| 569 |
+
"loss": 0.3877,
|
| 570 |
+
"step": 8000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 9.65,
|
| 574 |
+
"learning_rate": 0.0001,
|
| 575 |
+
"loss": 0.3802,
|
| 576 |
+
"step": 8100
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 9.77,
|
| 580 |
+
"learning_rate": 0.0001,
|
| 581 |
+
"loss": 0.3881,
|
| 582 |
+
"step": 8200
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 9.89,
|
| 586 |
+
"learning_rate": 0.0001,
|
| 587 |
+
"loss": 0.3927,
|
| 588 |
+
"step": 8300
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 10.0,
|
| 592 |
+
"eval_accuracy": 0.7928508287292818,
|
| 593 |
+
"eval_loss": 0.7676272392272949,
|
| 594 |
+
"eval_runtime": 8.6003,
|
| 595 |
+
"eval_samples_per_second": 58.138,
|
| 596 |
+
"eval_steps_per_second": 7.325,
|
| 597 |
+
"step": 8390
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 10.0,
|
| 601 |
+
"step": 8390,
|
| 602 |
+
"total_flos": 1.7650637705911992e+18,
|
| 603 |
+
"train_loss": 0.750629533715413,
|
| 604 |
+
"train_runtime": 6999.9579,
|
| 605 |
+
"train_samples_per_second": 38.363,
|
| 606 |
+
"train_steps_per_second": 1.199
|
| 607 |
+
}
|
| 608 |
+
],
|
| 609 |
+
"logging_steps": 100,
|
| 610 |
+
"max_steps": 8390,
|
| 611 |
+
"num_train_epochs": 10,
|
| 612 |
+
"save_steps": 500,
|
| 613 |
+
"total_flos": 1.7650637705911992e+18,
|
| 614 |
+
"trial_name": null,
|
| 615 |
+
"trial_params": null
|
| 616 |
+
}
|