End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +1095 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: mistralai/Mistral-7B-v0.1
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: hp_ablations_mistral_scheduler_linear_warmup0.05
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# hp_ablations_mistral_scheduler_linear_warmup0.05
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.0701
|
| 21 |
|
|
|
|
| 4 |
base_model: mistralai/Mistral-7B-v0.1
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: hp_ablations_mistral_scheduler_linear_warmup0.05
|
|
|
|
| 16 |
|
| 17 |
# hp_ablations_mistral_scheduler_linear_warmup0.05
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.0701
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9954430379746837,
|
| 3 |
+
"eval_loss": 0.0700838565826416,
|
| 4 |
+
"eval_runtime": 510.6467,
|
| 5 |
+
"eval_samples_per_second": 26.053,
|
| 6 |
+
"eval_steps_per_second": 0.407,
|
| 7 |
+
"total_flos": 2477170706350080.0,
|
| 8 |
+
"train_loss": 0.4888964453768779,
|
| 9 |
+
"train_runtime": 84815.3932,
|
| 10 |
+
"train_samples_per_second": 8.94,
|
| 11 |
+
"train_steps_per_second": 0.017
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9954430379746837,
|
| 3 |
+
"eval_loss": 0.0700838565826416,
|
| 4 |
+
"eval_runtime": 510.6467,
|
| 5 |
+
"eval_samples_per_second": 26.053,
|
| 6 |
+
"eval_steps_per_second": 0.407
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9954430379746837,
|
| 3 |
+
"total_flos": 2477170706350080.0,
|
| 4 |
+
"train_loss": 0.4888964453768779,
|
| 5 |
+
"train_runtime": 84815.3932,
|
| 6 |
+
"train_samples_per_second": 8.94,
|
| 7 |
+
"train_steps_per_second": 0.017
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1095 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9954430379746837,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1479,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.020253164556962026,
|
| 13 |
+
"grad_norm": 4.742581199201631,
|
| 14 |
+
"learning_rate": 6.756756756756758e-07,
|
| 15 |
+
"loss": 0.8238,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.04050632911392405,
|
| 20 |
+
"grad_norm": 2.7089177182440225,
|
| 21 |
+
"learning_rate": 1.3513513513513515e-06,
|
| 22 |
+
"loss": 0.7256,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.060759493670886074,
|
| 27 |
+
"grad_norm": 1.6438330526897271,
|
| 28 |
+
"learning_rate": 2.0270270270270273e-06,
|
| 29 |
+
"loss": 0.6705,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0810126582278481,
|
| 34 |
+
"grad_norm": 1.9649059006708485,
|
| 35 |
+
"learning_rate": 2.702702702702703e-06,
|
| 36 |
+
"loss": 0.6382,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.10126582278481013,
|
| 41 |
+
"grad_norm": 1.8319812554661556,
|
| 42 |
+
"learning_rate": 3.3783783783783788e-06,
|
| 43 |
+
"loss": 0.62,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.12151898734177215,
|
| 48 |
+
"grad_norm": 1.8563981143868757,
|
| 49 |
+
"learning_rate": 4.0540540540540545e-06,
|
| 50 |
+
"loss": 0.6097,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.14177215189873418,
|
| 55 |
+
"grad_norm": 2.0369557567075196,
|
| 56 |
+
"learning_rate": 4.72972972972973e-06,
|
| 57 |
+
"loss": 0.6039,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.1620253164556962,
|
| 62 |
+
"grad_norm": 3.933193428286484,
|
| 63 |
+
"learning_rate": 4.978647686832741e-06,
|
| 64 |
+
"loss": 0.5981,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.18227848101265823,
|
| 69 |
+
"grad_norm": 3.961786031844899,
|
| 70 |
+
"learning_rate": 4.943060498220641e-06,
|
| 71 |
+
"loss": 0.5957,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.20253164556962025,
|
| 76 |
+
"grad_norm": 3.016653386179453,
|
| 77 |
+
"learning_rate": 4.907473309608541e-06,
|
| 78 |
+
"loss": 0.5966,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.22278481012658227,
|
| 83 |
+
"grad_norm": 2.0911611009486664,
|
| 84 |
+
"learning_rate": 4.8718861209964415e-06,
|
| 85 |
+
"loss": 0.5874,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.2430379746835443,
|
| 90 |
+
"grad_norm": 2.3577222635919877,
|
| 91 |
+
"learning_rate": 4.836298932384342e-06,
|
| 92 |
+
"loss": 0.5851,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.26329113924050634,
|
| 97 |
+
"grad_norm": 2.4189498060173826,
|
| 98 |
+
"learning_rate": 4.800711743772242e-06,
|
| 99 |
+
"loss": 0.5839,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.28354430379746837,
|
| 104 |
+
"grad_norm": 1.9667579738688012,
|
| 105 |
+
"learning_rate": 4.765124555160142e-06,
|
| 106 |
+
"loss": 0.573,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.3037974683544304,
|
| 111 |
+
"grad_norm": 1.369959691403867,
|
| 112 |
+
"learning_rate": 4.7295373665480435e-06,
|
| 113 |
+
"loss": 0.5838,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.3240506329113924,
|
| 118 |
+
"grad_norm": 1.4080935903120366,
|
| 119 |
+
"learning_rate": 4.693950177935944e-06,
|
| 120 |
+
"loss": 0.5826,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.34430379746835443,
|
| 125 |
+
"grad_norm": 1.375777676837261,
|
| 126 |
+
"learning_rate": 4.658362989323843e-06,
|
| 127 |
+
"loss": 0.5827,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.36455696202531646,
|
| 132 |
+
"grad_norm": 1.6546345406257401,
|
| 133 |
+
"learning_rate": 4.622775800711744e-06,
|
| 134 |
+
"loss": 0.5783,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.3848101265822785,
|
| 139 |
+
"grad_norm": 2.138184576302769,
|
| 140 |
+
"learning_rate": 4.587188612099645e-06,
|
| 141 |
+
"loss": 0.578,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.4050632911392405,
|
| 146 |
+
"grad_norm": 1.5042114599648924,
|
| 147 |
+
"learning_rate": 4.551601423487545e-06,
|
| 148 |
+
"loss": 0.5713,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.4253164556962025,
|
| 153 |
+
"grad_norm": 2.34307337846717,
|
| 154 |
+
"learning_rate": 4.516014234875445e-06,
|
| 155 |
+
"loss": 0.5659,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.44556962025316454,
|
| 160 |
+
"grad_norm": 2.2965660467623983,
|
| 161 |
+
"learning_rate": 4.4804270462633455e-06,
|
| 162 |
+
"loss": 0.5711,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.46582278481012657,
|
| 167 |
+
"grad_norm": 2.2958689571859363,
|
| 168 |
+
"learning_rate": 4.444839857651246e-06,
|
| 169 |
+
"loss": 0.5693,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.4860759493670886,
|
| 174 |
+
"grad_norm": 2.417004138332344,
|
| 175 |
+
"learning_rate": 4.409252669039146e-06,
|
| 176 |
+
"loss": 0.5646,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.5063291139240507,
|
| 181 |
+
"grad_norm": 2.12941087663038,
|
| 182 |
+
"learning_rate": 4.373665480427046e-06,
|
| 183 |
+
"loss": 0.5681,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.5265822784810127,
|
| 188 |
+
"grad_norm": 1.8555366173965417,
|
| 189 |
+
"learning_rate": 4.3380782918149475e-06,
|
| 190 |
+
"loss": 0.5543,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.5468354430379747,
|
| 195 |
+
"grad_norm": 1.5852520856985666,
|
| 196 |
+
"learning_rate": 4.302491103202847e-06,
|
| 197 |
+
"loss": 0.5639,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.5670886075949367,
|
| 202 |
+
"grad_norm": 1.460016106438118,
|
| 203 |
+
"learning_rate": 4.266903914590747e-06,
|
| 204 |
+
"loss": 0.5593,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.5873417721518988,
|
| 209 |
+
"grad_norm": 1.7121558558722028,
|
| 210 |
+
"learning_rate": 4.231316725978648e-06,
|
| 211 |
+
"loss": 0.5608,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.6075949367088608,
|
| 216 |
+
"grad_norm": 1.3067137647800322,
|
| 217 |
+
"learning_rate": 4.195729537366549e-06,
|
| 218 |
+
"loss": 0.5607,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.6278481012658228,
|
| 223 |
+
"grad_norm": 1.418773706013845,
|
| 224 |
+
"learning_rate": 4.160142348754449e-06,
|
| 225 |
+
"loss": 0.5666,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.6481012658227848,
|
| 230 |
+
"grad_norm": 1.4267499965709702,
|
| 231 |
+
"learning_rate": 4.124555160142349e-06,
|
| 232 |
+
"loss": 0.5629,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.6683544303797468,
|
| 237 |
+
"grad_norm": 1.3749578870885502,
|
| 238 |
+
"learning_rate": 4.0889679715302495e-06,
|
| 239 |
+
"loss": 0.5619,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.6886075949367089,
|
| 244 |
+
"grad_norm": 1.275893799768224,
|
| 245 |
+
"learning_rate": 4.05338078291815e-06,
|
| 246 |
+
"loss": 0.5611,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.7088607594936709,
|
| 251 |
+
"grad_norm": 1.2613374964537525,
|
| 252 |
+
"learning_rate": 4.01779359430605e-06,
|
| 253 |
+
"loss": 0.5625,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.7291139240506329,
|
| 258 |
+
"grad_norm": 1.282128305662025,
|
| 259 |
+
"learning_rate": 3.98220640569395e-06,
|
| 260 |
+
"loss": 0.5647,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.7493670886075949,
|
| 265 |
+
"grad_norm": 1.2183620482413273,
|
| 266 |
+
"learning_rate": 3.946619217081851e-06,
|
| 267 |
+
"loss": 0.557,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.769620253164557,
|
| 272 |
+
"grad_norm": 1.1816403948954313,
|
| 273 |
+
"learning_rate": 3.911032028469751e-06,
|
| 274 |
+
"loss": 0.5535,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.789873417721519,
|
| 279 |
+
"grad_norm": 1.343065511383417,
|
| 280 |
+
"learning_rate": 3.875444839857651e-06,
|
| 281 |
+
"loss": 0.5564,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.810126582278481,
|
| 286 |
+
"grad_norm": 1.1056411836705247,
|
| 287 |
+
"learning_rate": 3.839857651245552e-06,
|
| 288 |
+
"loss": 0.5562,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.830379746835443,
|
| 293 |
+
"grad_norm": 1.1617514638384954,
|
| 294 |
+
"learning_rate": 3.804270462633452e-06,
|
| 295 |
+
"loss": 0.5509,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.850632911392405,
|
| 300 |
+
"grad_norm": 1.2456514736887305,
|
| 301 |
+
"learning_rate": 3.7686832740213525e-06,
|
| 302 |
+
"loss": 0.5589,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.8708860759493671,
|
| 307 |
+
"grad_norm": 1.0959898492388527,
|
| 308 |
+
"learning_rate": 3.733096085409253e-06,
|
| 309 |
+
"loss": 0.5521,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.8911392405063291,
|
| 314 |
+
"grad_norm": 1.295665638247925,
|
| 315 |
+
"learning_rate": 3.6975088967971536e-06,
|
| 316 |
+
"loss": 0.5572,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.9113924050632911,
|
| 321 |
+
"grad_norm": 1.0535123677725715,
|
| 322 |
+
"learning_rate": 3.661921708185054e-06,
|
| 323 |
+
"loss": 0.5482,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.9316455696202531,
|
| 328 |
+
"grad_norm": 1.0683406426734499,
|
| 329 |
+
"learning_rate": 3.6263345195729537e-06,
|
| 330 |
+
"loss": 0.5525,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.9518987341772152,
|
| 335 |
+
"grad_norm": 1.253383608055468,
|
| 336 |
+
"learning_rate": 3.5907473309608544e-06,
|
| 337 |
+
"loss": 0.5533,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.9721518987341772,
|
| 342 |
+
"grad_norm": 1.2809747280599841,
|
| 343 |
+
"learning_rate": 3.5551601423487547e-06,
|
| 344 |
+
"loss": 0.5505,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.9924050632911392,
|
| 349 |
+
"grad_norm": 1.1325843807943288,
|
| 350 |
+
"learning_rate": 3.519572953736655e-06,
|
| 351 |
+
"loss": 0.5465,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.9984810126582279,
|
| 356 |
+
"eval_loss": 0.068679079413414,
|
| 357 |
+
"eval_runtime": 507.7278,
|
| 358 |
+
"eval_samples_per_second": 26.203,
|
| 359 |
+
"eval_steps_per_second": 0.41,
|
| 360 |
+
"step": 493
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.0126582278481013,
|
| 364 |
+
"grad_norm": 1.7325407692218586,
|
| 365 |
+
"learning_rate": 3.4839857651245557e-06,
|
| 366 |
+
"loss": 0.5125,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.0329113924050632,
|
| 371 |
+
"grad_norm": 1.9559729603669886,
|
| 372 |
+
"learning_rate": 3.4483985765124556e-06,
|
| 373 |
+
"loss": 0.4812,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.0531645569620254,
|
| 378 |
+
"grad_norm": 1.4932963289367234,
|
| 379 |
+
"learning_rate": 3.412811387900356e-06,
|
| 380 |
+
"loss": 0.4774,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.0734177215189873,
|
| 385 |
+
"grad_norm": 1.185384048798669,
|
| 386 |
+
"learning_rate": 3.3772241992882566e-06,
|
| 387 |
+
"loss": 0.4785,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.0936708860759494,
|
| 392 |
+
"grad_norm": 1.1972600486999827,
|
| 393 |
+
"learning_rate": 3.341637010676157e-06,
|
| 394 |
+
"loss": 0.4758,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.1139240506329113,
|
| 399 |
+
"grad_norm": 1.1460022054980692,
|
| 400 |
+
"learning_rate": 3.3060498220640576e-06,
|
| 401 |
+
"loss": 0.4778,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.1341772151898735,
|
| 406 |
+
"grad_norm": 1.1197932329811855,
|
| 407 |
+
"learning_rate": 3.2704626334519575e-06,
|
| 408 |
+
"loss": 0.4752,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.1544303797468354,
|
| 413 |
+
"grad_norm": 1.194566549573746,
|
| 414 |
+
"learning_rate": 3.2348754448398577e-06,
|
| 415 |
+
"loss": 0.4818,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.1746835443037975,
|
| 420 |
+
"grad_norm": 1.2784411634842332,
|
| 421 |
+
"learning_rate": 3.1992882562277585e-06,
|
| 422 |
+
"loss": 0.4798,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.1949367088607594,
|
| 427 |
+
"grad_norm": 1.123327911933,
|
| 428 |
+
"learning_rate": 3.1637010676156587e-06,
|
| 429 |
+
"loss": 0.4736,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.2151898734177216,
|
| 434 |
+
"grad_norm": 1.193089413979018,
|
| 435 |
+
"learning_rate": 3.128113879003559e-06,
|
| 436 |
+
"loss": 0.4804,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.2354430379746835,
|
| 441 |
+
"grad_norm": 1.1785101089717391,
|
| 442 |
+
"learning_rate": 3.0925266903914593e-06,
|
| 443 |
+
"loss": 0.4762,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.2556962025316456,
|
| 448 |
+
"grad_norm": 1.2080168650481182,
|
| 449 |
+
"learning_rate": 3.0569395017793596e-06,
|
| 450 |
+
"loss": 0.4798,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.2759493670886077,
|
| 455 |
+
"grad_norm": 1.3205102063888547,
|
| 456 |
+
"learning_rate": 3.02135231316726e-06,
|
| 457 |
+
"loss": 0.4796,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.2962025316455696,
|
| 462 |
+
"grad_norm": 1.3147319714200894,
|
| 463 |
+
"learning_rate": 2.9857651245551606e-06,
|
| 464 |
+
"loss": 0.4787,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.3164556962025316,
|
| 469 |
+
"grad_norm": 1.1490461889736139,
|
| 470 |
+
"learning_rate": 2.950177935943061e-06,
|
| 471 |
+
"loss": 0.482,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.3367088607594937,
|
| 476 |
+
"grad_norm": 1.3228852312739667,
|
| 477 |
+
"learning_rate": 2.9145907473309608e-06,
|
| 478 |
+
"loss": 0.4705,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.3569620253164558,
|
| 483 |
+
"grad_norm": 1.2638864667189769,
|
| 484 |
+
"learning_rate": 2.8790035587188615e-06,
|
| 485 |
+
"loss": 0.4839,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3772151898734177,
|
| 490 |
+
"grad_norm": 1.1378222725461256,
|
| 491 |
+
"learning_rate": 2.8434163701067618e-06,
|
| 492 |
+
"loss": 0.4807,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.3974683544303796,
|
| 497 |
+
"grad_norm": 1.136931180029992,
|
| 498 |
+
"learning_rate": 2.8078291814946625e-06,
|
| 499 |
+
"loss": 0.4793,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.4177215189873418,
|
| 504 |
+
"grad_norm": 1.2382582028693814,
|
| 505 |
+
"learning_rate": 2.7722419928825624e-06,
|
| 506 |
+
"loss": 0.476,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.437974683544304,
|
| 511 |
+
"grad_norm": 1.2304522818128008,
|
| 512 |
+
"learning_rate": 2.7366548042704626e-06,
|
| 513 |
+
"loss": 0.4813,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.4582278481012658,
|
| 518 |
+
"grad_norm": 1.123509723565589,
|
| 519 |
+
"learning_rate": 2.7010676156583634e-06,
|
| 520 |
+
"loss": 0.4809,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.4784810126582277,
|
| 525 |
+
"grad_norm": 1.1387958282357735,
|
| 526 |
+
"learning_rate": 2.6654804270462636e-06,
|
| 527 |
+
"loss": 0.4833,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.4987341772151899,
|
| 532 |
+
"grad_norm": 1.118649730450664,
|
| 533 |
+
"learning_rate": 2.629893238434164e-06,
|
| 534 |
+
"loss": 0.4758,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.518987341772152,
|
| 539 |
+
"grad_norm": 1.222896592137077,
|
| 540 |
+
"learning_rate": 2.5943060498220642e-06,
|
| 541 |
+
"loss": 0.4779,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.539240506329114,
|
| 546 |
+
"grad_norm": 1.4074398237958103,
|
| 547 |
+
"learning_rate": 2.5587188612099645e-06,
|
| 548 |
+
"loss": 0.4788,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.5594936708860758,
|
| 553 |
+
"grad_norm": 1.1619300400485018,
|
| 554 |
+
"learning_rate": 2.523131672597865e-06,
|
| 555 |
+
"loss": 0.4772,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.579746835443038,
|
| 560 |
+
"grad_norm": 1.422184034548514,
|
| 561 |
+
"learning_rate": 2.4875444839857655e-06,
|
| 562 |
+
"loss": 0.4778,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.6,
|
| 567 |
+
"grad_norm": 1.2234336626816806,
|
| 568 |
+
"learning_rate": 2.451957295373666e-06,
|
| 569 |
+
"loss": 0.4792,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.620253164556962,
|
| 574 |
+
"grad_norm": 1.1332543250276066,
|
| 575 |
+
"learning_rate": 2.416370106761566e-06,
|
| 576 |
+
"loss": 0.4753,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.640506329113924,
|
| 581 |
+
"grad_norm": 1.2069589755433405,
|
| 582 |
+
"learning_rate": 2.3807829181494664e-06,
|
| 583 |
+
"loss": 0.4683,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.660759493670886,
|
| 588 |
+
"grad_norm": 1.106986539594195,
|
| 589 |
+
"learning_rate": 2.3451957295373667e-06,
|
| 590 |
+
"loss": 0.4773,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.6810126582278482,
|
| 595 |
+
"grad_norm": 1.1080989558058947,
|
| 596 |
+
"learning_rate": 2.3096085409252674e-06,
|
| 597 |
+
"loss": 0.472,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.70126582278481,
|
| 602 |
+
"grad_norm": 1.1905792829948112,
|
| 603 |
+
"learning_rate": 2.2740213523131673e-06,
|
| 604 |
+
"loss": 0.4734,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.721518987341772,
|
| 609 |
+
"grad_norm": 1.1263868733328295,
|
| 610 |
+
"learning_rate": 2.238434163701068e-06,
|
| 611 |
+
"loss": 0.4755,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.7417721518987341,
|
| 616 |
+
"grad_norm": 1.033205957803366,
|
| 617 |
+
"learning_rate": 2.2028469750889683e-06,
|
| 618 |
+
"loss": 0.475,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.7620253164556963,
|
| 623 |
+
"grad_norm": 1.127189794873212,
|
| 624 |
+
"learning_rate": 2.1672597864768685e-06,
|
| 625 |
+
"loss": 0.4785,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.7822784810126582,
|
| 630 |
+
"grad_norm": 1.1788992895844184,
|
| 631 |
+
"learning_rate": 2.131672597864769e-06,
|
| 632 |
+
"loss": 0.479,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.80253164556962,
|
| 637 |
+
"grad_norm": 1.186766190893949,
|
| 638 |
+
"learning_rate": 2.096085409252669e-06,
|
| 639 |
+
"loss": 0.4763,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.8227848101265822,
|
| 644 |
+
"grad_norm": 1.1866935971232218,
|
| 645 |
+
"learning_rate": 2.06049822064057e-06,
|
| 646 |
+
"loss": 0.4751,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.8430379746835444,
|
| 651 |
+
"grad_norm": 1.2254733687693131,
|
| 652 |
+
"learning_rate": 2.0249110320284697e-06,
|
| 653 |
+
"loss": 0.4767,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.8632911392405065,
|
| 658 |
+
"grad_norm": 1.0999643877142318,
|
| 659 |
+
"learning_rate": 1.9893238434163704e-06,
|
| 660 |
+
"loss": 0.475,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.8835443037974684,
|
| 665 |
+
"grad_norm": 1.1191194093430747,
|
| 666 |
+
"learning_rate": 1.9537366548042703e-06,
|
| 667 |
+
"loss": 0.4714,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.9037974683544303,
|
| 672 |
+
"grad_norm": 1.1342720462254603,
|
| 673 |
+
"learning_rate": 1.918149466192171e-06,
|
| 674 |
+
"loss": 0.4751,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.9240506329113924,
|
| 679 |
+
"grad_norm": 1.0241324911004035,
|
| 680 |
+
"learning_rate": 1.8825622775800715e-06,
|
| 681 |
+
"loss": 0.4759,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.9443037974683546,
|
| 686 |
+
"grad_norm": 1.1373301367884234,
|
| 687 |
+
"learning_rate": 1.8469750889679716e-06,
|
| 688 |
+
"loss": 0.4795,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.9645569620253165,
|
| 693 |
+
"grad_norm": 1.047662657429949,
|
| 694 |
+
"learning_rate": 1.811387900355872e-06,
|
| 695 |
+
"loss": 0.4778,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.9848101265822784,
|
| 700 |
+
"grad_norm": 1.0623876456662695,
|
| 701 |
+
"learning_rate": 1.7758007117437724e-06,
|
| 702 |
+
"loss": 0.4778,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.998987341772152,
|
| 707 |
+
"eval_loss": 0.06775479018688202,
|
| 708 |
+
"eval_runtime": 509.7296,
|
| 709 |
+
"eval_samples_per_second": 26.1,
|
| 710 |
+
"eval_steps_per_second": 0.408,
|
| 711 |
+
"step": 987
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.0050632911392405,
|
| 715 |
+
"grad_norm": 1.885410249625527,
|
| 716 |
+
"learning_rate": 1.7402135231316727e-06,
|
| 717 |
+
"loss": 0.456,
|
| 718 |
+
"step": 990
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.0253164556962027,
|
| 722 |
+
"grad_norm": 1.4856083185892484,
|
| 723 |
+
"learning_rate": 1.7046263345195732e-06,
|
| 724 |
+
"loss": 0.4107,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.0455696202531644,
|
| 729 |
+
"grad_norm": 1.309133994163287,
|
| 730 |
+
"learning_rate": 1.6690391459074735e-06,
|
| 731 |
+
"loss": 0.4093,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 2.0658227848101265,
|
| 736 |
+
"grad_norm": 1.1938535418758685,
|
| 737 |
+
"learning_rate": 1.633451957295374e-06,
|
| 738 |
+
"loss": 0.4054,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 2.0860759493670886,
|
| 743 |
+
"grad_norm": 1.107962295104452,
|
| 744 |
+
"learning_rate": 1.597864768683274e-06,
|
| 745 |
+
"loss": 0.4053,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 2.1063291139240508,
|
| 750 |
+
"grad_norm": 1.2052202862963048,
|
| 751 |
+
"learning_rate": 1.5622775800711745e-06,
|
| 752 |
+
"loss": 0.4024,
|
| 753 |
+
"step": 1040
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 2.1265822784810124,
|
| 757 |
+
"grad_norm": 1.1688527474064736,
|
| 758 |
+
"learning_rate": 1.526690391459075e-06,
|
| 759 |
+
"loss": 0.411,
|
| 760 |
+
"step": 1050
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 2.1468354430379746,
|
| 764 |
+
"grad_norm": 1.159582820630888,
|
| 765 |
+
"learning_rate": 1.4911032028469751e-06,
|
| 766 |
+
"loss": 0.4056,
|
| 767 |
+
"step": 1060
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 2.1670886075949367,
|
| 771 |
+
"grad_norm": 1.1801911147741104,
|
| 772 |
+
"learning_rate": 1.4555160142348756e-06,
|
| 773 |
+
"loss": 0.4079,
|
| 774 |
+
"step": 1070
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 2.187341772151899,
|
| 778 |
+
"grad_norm": 1.1866560972006943,
|
| 779 |
+
"learning_rate": 1.419928825622776e-06,
|
| 780 |
+
"loss": 0.4061,
|
| 781 |
+
"step": 1080
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 2.207594936708861,
|
| 785 |
+
"grad_norm": 1.1271721136927093,
|
| 786 |
+
"learning_rate": 1.3843416370106764e-06,
|
| 787 |
+
"loss": 0.4035,
|
| 788 |
+
"step": 1090
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 2.2278481012658227,
|
| 792 |
+
"grad_norm": 1.148968106587725,
|
| 793 |
+
"learning_rate": 1.3487544483985765e-06,
|
| 794 |
+
"loss": 0.412,
|
| 795 |
+
"step": 1100
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.248101265822785,
|
| 799 |
+
"grad_norm": 1.17444595906901,
|
| 800 |
+
"learning_rate": 1.313167259786477e-06,
|
| 801 |
+
"loss": 0.4078,
|
| 802 |
+
"step": 1110
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 2.268354430379747,
|
| 806 |
+
"grad_norm": 1.241550247309238,
|
| 807 |
+
"learning_rate": 1.2775800711743775e-06,
|
| 808 |
+
"loss": 0.4091,
|
| 809 |
+
"step": 1120
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 2.2886075949367086,
|
| 813 |
+
"grad_norm": 1.1322921512574697,
|
| 814 |
+
"learning_rate": 1.2419928825622776e-06,
|
| 815 |
+
"loss": 0.41,
|
| 816 |
+
"step": 1130
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.3088607594936708,
|
| 820 |
+
"grad_norm": 1.1038688400048324,
|
| 821 |
+
"learning_rate": 1.206405693950178e-06,
|
| 822 |
+
"loss": 0.4052,
|
| 823 |
+
"step": 1140
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 2.329113924050633,
|
| 827 |
+
"grad_norm": 1.1471785710291027,
|
| 828 |
+
"learning_rate": 1.1708185053380784e-06,
|
| 829 |
+
"loss": 0.4116,
|
| 830 |
+
"step": 1150
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 2.349367088607595,
|
| 834 |
+
"grad_norm": 1.1748513395840992,
|
| 835 |
+
"learning_rate": 1.1352313167259789e-06,
|
| 836 |
+
"loss": 0.4104,
|
| 837 |
+
"step": 1160
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 2.369620253164557,
|
| 841 |
+
"grad_norm": 1.1687832541778012,
|
| 842 |
+
"learning_rate": 1.0996441281138791e-06,
|
| 843 |
+
"loss": 0.4103,
|
| 844 |
+
"step": 1170
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 2.389873417721519,
|
| 848 |
+
"grad_norm": 1.2153707569716299,
|
| 849 |
+
"learning_rate": 1.0640569395017794e-06,
|
| 850 |
+
"loss": 0.4102,
|
| 851 |
+
"step": 1180
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 2.410126582278481,
|
| 855 |
+
"grad_norm": 1.2043915036892876,
|
| 856 |
+
"learning_rate": 1.0284697508896797e-06,
|
| 857 |
+
"loss": 0.4093,
|
| 858 |
+
"step": 1190
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 2.430379746835443,
|
| 862 |
+
"grad_norm": 1.1154060559605754,
|
| 863 |
+
"learning_rate": 9.928825622775802e-07,
|
| 864 |
+
"loss": 0.4077,
|
| 865 |
+
"step": 1200
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 2.4506329113924052,
|
| 869 |
+
"grad_norm": 1.1249500649551158,
|
| 870 |
+
"learning_rate": 9.572953736654805e-07,
|
| 871 |
+
"loss": 0.4067,
|
| 872 |
+
"step": 1210
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.470886075949367,
|
| 876 |
+
"grad_norm": 1.1373080270061644,
|
| 877 |
+
"learning_rate": 9.217081850533809e-07,
|
| 878 |
+
"loss": 0.4094,
|
| 879 |
+
"step": 1220
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 2.491139240506329,
|
| 883 |
+
"grad_norm": 1.2009940834893456,
|
| 884 |
+
"learning_rate": 8.861209964412812e-07,
|
| 885 |
+
"loss": 0.4081,
|
| 886 |
+
"step": 1230
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 2.511392405063291,
|
| 890 |
+
"grad_norm": 1.1805699402158027,
|
| 891 |
+
"learning_rate": 8.505338078291815e-07,
|
| 892 |
+
"loss": 0.412,
|
| 893 |
+
"step": 1240
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 2.5316455696202533,
|
| 897 |
+
"grad_norm": 1.1650230538613433,
|
| 898 |
+
"learning_rate": 8.14946619217082e-07,
|
| 899 |
+
"loss": 0.4053,
|
| 900 |
+
"step": 1250
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.5518987341772155,
|
| 904 |
+
"grad_norm": 1.1148652618881494,
|
| 905 |
+
"learning_rate": 7.793594306049823e-07,
|
| 906 |
+
"loss": 0.4003,
|
| 907 |
+
"step": 1260
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 2.572151898734177,
|
| 911 |
+
"grad_norm": 1.1203790714411743,
|
| 912 |
+
"learning_rate": 7.437722419928827e-07,
|
| 913 |
+
"loss": 0.4071,
|
| 914 |
+
"step": 1270
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 2.5924050632911393,
|
| 918 |
+
"grad_norm": 1.1540738131106723,
|
| 919 |
+
"learning_rate": 7.08185053380783e-07,
|
| 920 |
+
"loss": 0.4088,
|
| 921 |
+
"step": 1280
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.6126582278481014,
|
| 925 |
+
"grad_norm": 1.1564560350860578,
|
| 926 |
+
"learning_rate": 6.725978647686833e-07,
|
| 927 |
+
"loss": 0.4136,
|
| 928 |
+
"step": 1290
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 2.632911392405063,
|
| 932 |
+
"grad_norm": 1.1502008333731566,
|
| 933 |
+
"learning_rate": 6.370106761565837e-07,
|
| 934 |
+
"loss": 0.4074,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.6531645569620252,
|
| 939 |
+
"grad_norm": 1.084342294241873,
|
| 940 |
+
"learning_rate": 6.01423487544484e-07,
|
| 941 |
+
"loss": 0.4068,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 2.6734177215189874,
|
| 946 |
+
"grad_norm": 1.0975552769986037,
|
| 947 |
+
"learning_rate": 5.658362989323843e-07,
|
| 948 |
+
"loss": 0.408,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 2.6936708860759495,
|
| 953 |
+
"grad_norm": 1.1097418341903917,
|
| 954 |
+
"learning_rate": 5.302491103202847e-07,
|
| 955 |
+
"loss": 0.4103,
|
| 956 |
+
"step": 1330
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.7139240506329116,
|
| 960 |
+
"grad_norm": 1.158009570288043,
|
| 961 |
+
"learning_rate": 4.946619217081851e-07,
|
| 962 |
+
"loss": 0.4086,
|
| 963 |
+
"step": 1340
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 2.7341772151898733,
|
| 967 |
+
"grad_norm": 1.082032638132166,
|
| 968 |
+
"learning_rate": 4.5907473309608547e-07,
|
| 969 |
+
"loss": 0.4067,
|
| 970 |
+
"step": 1350
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 2.7544303797468355,
|
| 974 |
+
"grad_norm": 1.0910706188001162,
|
| 975 |
+
"learning_rate": 4.234875444839858e-07,
|
| 976 |
+
"loss": 0.4025,
|
| 977 |
+
"step": 1360
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 2.7746835443037976,
|
| 981 |
+
"grad_norm": 1.1340308917418294,
|
| 982 |
+
"learning_rate": 3.8790035587188615e-07,
|
| 983 |
+
"loss": 0.4074,
|
| 984 |
+
"step": 1370
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 2.7949367088607593,
|
| 988 |
+
"grad_norm": 1.0972217494408671,
|
| 989 |
+
"learning_rate": 3.5231316725978655e-07,
|
| 990 |
+
"loss": 0.4059,
|
| 991 |
+
"step": 1380
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 2.8151898734177214,
|
| 995 |
+
"grad_norm": 1.1023421234405986,
|
| 996 |
+
"learning_rate": 3.1672597864768684e-07,
|
| 997 |
+
"loss": 0.408,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.8354430379746836,
|
| 1002 |
+
"grad_norm": 1.076348844263821,
|
| 1003 |
+
"learning_rate": 2.811387900355872e-07,
|
| 1004 |
+
"loss": 0.4008,
|
| 1005 |
+
"step": 1400
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.8556962025316457,
|
| 1009 |
+
"grad_norm": 1.0727773827003273,
|
| 1010 |
+
"learning_rate": 2.455516014234876e-07,
|
| 1011 |
+
"loss": 0.4095,
|
| 1012 |
+
"step": 1410
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 2.875949367088608,
|
| 1016 |
+
"grad_norm": 1.094488859203195,
|
| 1017 |
+
"learning_rate": 2.0996441281138792e-07,
|
| 1018 |
+
"loss": 0.4044,
|
| 1019 |
+
"step": 1420
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 2.8962025316455695,
|
| 1023 |
+
"grad_norm": 1.1022638043714281,
|
| 1024 |
+
"learning_rate": 1.743772241992883e-07,
|
| 1025 |
+
"loss": 0.4053,
|
| 1026 |
+
"step": 1430
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.9164556962025316,
|
| 1030 |
+
"grad_norm": 1.056288437679614,
|
| 1031 |
+
"learning_rate": 1.3879003558718863e-07,
|
| 1032 |
+
"loss": 0.407,
|
| 1033 |
+
"step": 1440
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 2.9367088607594938,
|
| 1037 |
+
"grad_norm": 1.1311358899472859,
|
| 1038 |
+
"learning_rate": 1.0320284697508897e-07,
|
| 1039 |
+
"loss": 0.4152,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.9569620253164555,
|
| 1044 |
+
"grad_norm": 1.0577864076415648,
|
| 1045 |
+
"learning_rate": 6.761565836298933e-08,
|
| 1046 |
+
"loss": 0.4032,
|
| 1047 |
+
"step": 1460
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 2.9772151898734176,
|
| 1051 |
+
"grad_norm": 1.0913097767086777,
|
| 1052 |
+
"learning_rate": 3.202846975088968e-08,
|
| 1053 |
+
"loss": 0.4067,
|
| 1054 |
+
"step": 1470
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.9954430379746837,
|
| 1058 |
+
"eval_loss": 0.0700838565826416,
|
| 1059 |
+
"eval_runtime": 511.013,
|
| 1060 |
+
"eval_samples_per_second": 26.035,
|
| 1061 |
+
"eval_steps_per_second": 0.407,
|
| 1062 |
+
"step": 1479
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 2.9954430379746837,
|
| 1066 |
+
"step": 1479,
|
| 1067 |
+
"total_flos": 2477170706350080.0,
|
| 1068 |
+
"train_loss": 0.4888964453768779,
|
| 1069 |
+
"train_runtime": 84815.3932,
|
| 1070 |
+
"train_samples_per_second": 8.94,
|
| 1071 |
+
"train_steps_per_second": 0.017
|
| 1072 |
+
}
|
| 1073 |
+
],
|
| 1074 |
+
"logging_steps": 10,
|
| 1075 |
+
"max_steps": 1479,
|
| 1076 |
+
"num_input_tokens_seen": 0,
|
| 1077 |
+
"num_train_epochs": 3,
|
| 1078 |
+
"save_steps": 500,
|
| 1079 |
+
"stateful_callbacks": {
|
| 1080 |
+
"TrainerControl": {
|
| 1081 |
+
"args": {
|
| 1082 |
+
"should_epoch_stop": false,
|
| 1083 |
+
"should_evaluate": false,
|
| 1084 |
+
"should_log": false,
|
| 1085 |
+
"should_save": true,
|
| 1086 |
+
"should_training_stop": true
|
| 1087 |
+
},
|
| 1088 |
+
"attributes": {}
|
| 1089 |
+
}
|
| 1090 |
+
},
|
| 1091 |
+
"total_flos": 2477170706350080.0,
|
| 1092 |
+
"train_batch_size": 8,
|
| 1093 |
+
"trial_name": null,
|
| 1094 |
+
"trial_params": null
|
| 1095 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|