End of training
Browse files- README.md +3 -2
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +1785 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3.1
|
|
| 4 |
base_model: meta-llama/Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: llama_8b_lima_42
|
|
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# llama_8b_lima_42
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
- Loss: 0.
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 4 |
base_model: meta-llama/Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: llama_8b_lima_42
|
|
|
|
| 16 |
|
| 17 |
# llama_8b_lima_42
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the open_webui_dataset dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.9014
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9998570816064027,
|
| 3 |
+
"eval_loss": 0.9013698101043701,
|
| 4 |
+
"eval_runtime": 19.0091,
|
| 5 |
+
"eval_samples_per_second": 10.521,
|
| 6 |
+
"eval_steps_per_second": 2.63,
|
| 7 |
+
"total_flos": 1.7681949461682586e+17,
|
| 8 |
+
"train_loss": 0.944941889564946,
|
| 9 |
+
"train_runtime": 15099.9882,
|
| 10 |
+
"train_samples_per_second": 2.78,
|
| 11 |
+
"train_steps_per_second": 0.077
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9998570816064027,
|
| 3 |
+
"eval_loss": 0.9013698101043701,
|
| 4 |
+
"eval_runtime": 19.0091,
|
| 5 |
+
"eval_samples_per_second": 10.521,
|
| 6 |
+
"eval_steps_per_second": 2.63
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9998570816064027,
|
| 3 |
+
"total_flos": 1.7681949461682586e+17,
|
| 4 |
+
"train_loss": 0.944941889564946,
|
| 5 |
+
"train_runtime": 15099.9882,
|
| 6 |
+
"train_samples_per_second": 2.78,
|
| 7 |
+
"train_steps_per_second": 0.077
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1785 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9998570816064027,
|
| 5 |
+
"eval_steps": 80,
|
| 6 |
+
"global_step": 1166,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.004287551807917679,
|
| 13 |
+
"grad_norm": 49.0459476401418,
|
| 14 |
+
"learning_rate": 5.000000000000001e-07,
|
| 15 |
+
"loss": 1.2482,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.008575103615835357,
|
| 20 |
+
"grad_norm": 46.49636895863856,
|
| 21 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 22 |
+
"loss": 1.2111,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.012862655423753037,
|
| 27 |
+
"grad_norm": 75.02893655779658,
|
| 28 |
+
"learning_rate": 1.5e-06,
|
| 29 |
+
"loss": 1.2375,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.017150207231670715,
|
| 34 |
+
"grad_norm": 3.8741623300934016,
|
| 35 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 36 |
+
"loss": 1.0833,
|
| 37 |
+
"step": 20
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.021437759039588396,
|
| 41 |
+
"grad_norm": 8.80211103072482,
|
| 42 |
+
"learning_rate": 2.5e-06,
|
| 43 |
+
"loss": 1.0052,
|
| 44 |
+
"step": 25
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.025725310847506073,
|
| 48 |
+
"grad_norm": 11.672065444786128,
|
| 49 |
+
"learning_rate": 3e-06,
|
| 50 |
+
"loss": 1.0283,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.030012862655423755,
|
| 55 |
+
"grad_norm": 4.987083560214949,
|
| 56 |
+
"learning_rate": 3.5e-06,
|
| 57 |
+
"loss": 1.0801,
|
| 58 |
+
"step": 35
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.03430041446334143,
|
| 62 |
+
"grad_norm": 2.966299005953653,
|
| 63 |
+
"learning_rate": 4.000000000000001e-06,
|
| 64 |
+
"loss": 1.0753,
|
| 65 |
+
"step": 40
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.038587966271259114,
|
| 69 |
+
"grad_norm": 3.0065164197825074,
|
| 70 |
+
"learning_rate": 4.5e-06,
|
| 71 |
+
"loss": 0.9409,
|
| 72 |
+
"step": 45
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.04287551807917679,
|
| 76 |
+
"grad_norm": 3.381394216826962,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 1.0198,
|
| 79 |
+
"step": 50
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04716306988709447,
|
| 83 |
+
"grad_norm": 3.6309559490350654,
|
| 84 |
+
"learning_rate": 4.926711109482401e-06,
|
| 85 |
+
"loss": 1.0699,
|
| 86 |
+
"step": 55
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.05145062169501215,
|
| 90 |
+
"grad_norm": 4.134626791396976,
|
| 91 |
+
"learning_rate": 4.854242179361151e-06,
|
| 92 |
+
"loss": 1.0268,
|
| 93 |
+
"step": 60
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.055738173502929825,
|
| 97 |
+
"grad_norm": 3.3445998120937954,
|
| 98 |
+
"learning_rate": 4.782587680591894e-06,
|
| 99 |
+
"loss": 1.2315,
|
| 100 |
+
"step": 65
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.06002572531084751,
|
| 104 |
+
"grad_norm": 2.4730316039429288,
|
| 105 |
+
"learning_rate": 4.711742096614044e-06,
|
| 106 |
+
"loss": 0.9914,
|
| 107 |
+
"step": 70
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.06431327711876518,
|
| 111 |
+
"grad_norm": 3.063463397168402,
|
| 112 |
+
"learning_rate": 4.641699923379107e-06,
|
| 113 |
+
"loss": 0.9354,
|
| 114 |
+
"step": 75
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.06860082892668286,
|
| 118 |
+
"grad_norm": 3.72217017018073,
|
| 119 |
+
"learning_rate": 4.5724556693791996e-06,
|
| 120 |
+
"loss": 1.0356,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.06860082892668286,
|
| 125 |
+
"eval_loss": 0.9710695743560791,
|
| 126 |
+
"eval_runtime": 20.9077,
|
| 127 |
+
"eval_samples_per_second": 9.566,
|
| 128 |
+
"eval_steps_per_second": 2.391,
|
| 129 |
+
"step": 80
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.07288838073460055,
|
| 133 |
+
"grad_norm": 2.8296964090488466,
|
| 134 |
+
"learning_rate": 4.504003855675734e-06,
|
| 135 |
+
"loss": 1.0218,
|
| 136 |
+
"step": 85
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.07717593254251823,
|
| 140 |
+
"grad_norm": 3.9492533196858313,
|
| 141 |
+
"learning_rate": 4.436339015928335e-06,
|
| 142 |
+
"loss": 0.9059,
|
| 143 |
+
"step": 90
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.0814634843504359,
|
| 147 |
+
"grad_norm": 2.945729589644999,
|
| 148 |
+
"learning_rate": 4.369455696423936e-06,
|
| 149 |
+
"loss": 0.9862,
|
| 150 |
+
"step": 95
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.08575103615835358,
|
| 154 |
+
"grad_norm": 2.8934728265120553,
|
| 155 |
+
"learning_rate": 4.303348456106082e-06,
|
| 156 |
+
"loss": 0.9869,
|
| 157 |
+
"step": 100
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.09003858796627126,
|
| 161 |
+
"grad_norm": 3.6370231743108636,
|
| 162 |
+
"learning_rate": 4.238011866604447e-06,
|
| 163 |
+
"loss": 1.0137,
|
| 164 |
+
"step": 105
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.09432613977418894,
|
| 168 |
+
"grad_norm": 2.8095030003011976,
|
| 169 |
+
"learning_rate": 4.173440512264544e-06,
|
| 170 |
+
"loss": 0.9834,
|
| 171 |
+
"step": 110
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.09861369158210662,
|
| 175 |
+
"grad_norm": 2.5605385368574205,
|
| 176 |
+
"learning_rate": 4.109628990177651e-06,
|
| 177 |
+
"loss": 0.9828,
|
| 178 |
+
"step": 115
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.1029012433900243,
|
| 182 |
+
"grad_norm": 3.328262187145733,
|
| 183 |
+
"learning_rate": 4.04657191021096e-06,
|
| 184 |
+
"loss": 0.9892,
|
| 185 |
+
"step": 120
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.10718879519794197,
|
| 189 |
+
"grad_norm": 3.4906689890189835,
|
| 190 |
+
"learning_rate": 3.984263895037921e-06,
|
| 191 |
+
"loss": 0.9903,
|
| 192 |
+
"step": 125
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.11147634700585965,
|
| 196 |
+
"grad_norm": 2.845690441710927,
|
| 197 |
+
"learning_rate": 3.9226995801688165e-06,
|
| 198 |
+
"loss": 1.1259,
|
| 199 |
+
"step": 130
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.11576389881377733,
|
| 203 |
+
"grad_norm": 2.7267526391731334,
|
| 204 |
+
"learning_rate": 3.8618736139815605e-06,
|
| 205 |
+
"loss": 0.9734,
|
| 206 |
+
"step": 135
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.12005145062169502,
|
| 210 |
+
"grad_norm": 2.062870391280079,
|
| 211 |
+
"learning_rate": 3.8017806577526982e-06,
|
| 212 |
+
"loss": 1.0515,
|
| 213 |
+
"step": 140
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.1243390024296127,
|
| 217 |
+
"grad_norm": 2.814034294378353,
|
| 218 |
+
"learning_rate": 3.7424153856886596e-06,
|
| 219 |
+
"loss": 0.8449,
|
| 220 |
+
"step": 145
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.12862655423753036,
|
| 224 |
+
"grad_norm": 3.0711652275263357,
|
| 225 |
+
"learning_rate": 3.6837724849572175e-06,
|
| 226 |
+
"loss": 0.8388,
|
| 227 |
+
"step": 150
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.13291410604544804,
|
| 231 |
+
"grad_norm": 3.437400624778036,
|
| 232 |
+
"learning_rate": 3.6258466557191907e-06,
|
| 233 |
+
"loss": 1.1761,
|
| 234 |
+
"step": 155
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.13720165785336572,
|
| 238 |
+
"grad_norm": 3.081997188340036,
|
| 239 |
+
"learning_rate": 3.5686326111603775e-06,
|
| 240 |
+
"loss": 1.0348,
|
| 241 |
+
"step": 160
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.13720165785336572,
|
| 245 |
+
"eval_loss": 0.9355081915855408,
|
| 246 |
+
"eval_runtime": 19.1453,
|
| 247 |
+
"eval_samples_per_second": 10.446,
|
| 248 |
+
"eval_steps_per_second": 2.612,
|
| 249 |
+
"step": 160
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.1414892096612834,
|
| 253 |
+
"grad_norm": 2.8114117836276513,
|
| 254 |
+
"learning_rate": 3.512125077523717e-06,
|
| 255 |
+
"loss": 1.0048,
|
| 256 |
+
"step": 165
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 0.1457767614692011,
|
| 260 |
+
"grad_norm": 2.707619981442126,
|
| 261 |
+
"learning_rate": 3.456318794141709e-06,
|
| 262 |
+
"loss": 0.8126,
|
| 263 |
+
"step": 170
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 0.15006431327711878,
|
| 267 |
+
"grad_norm": 2.6357116905007856,
|
| 268 |
+
"learning_rate": 3.4012085134690555e-06,
|
| 269 |
+
"loss": 0.8684,
|
| 270 |
+
"step": 175
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.15435186508503645,
|
| 274 |
+
"grad_norm": 2.902285405452677,
|
| 275 |
+
"learning_rate": 3.346789001115556e-06,
|
| 276 |
+
"loss": 1.023,
|
| 277 |
+
"step": 180
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 0.15863941689295413,
|
| 281 |
+
"grad_norm": 3.1470604950987546,
|
| 282 |
+
"learning_rate": 3.293055035879266e-06,
|
| 283 |
+
"loss": 0.979,
|
| 284 |
+
"step": 185
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.1629269687008718,
|
| 288 |
+
"grad_norm": 2.429084645315808,
|
| 289 |
+
"learning_rate": 3.2400014097798766e-06,
|
| 290 |
+
"loss": 0.9414,
|
| 291 |
+
"step": 190
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.1672145205087895,
|
| 295 |
+
"grad_norm": 2.6607376091673283,
|
| 296 |
+
"learning_rate": 3.187622928092377e-06,
|
| 297 |
+
"loss": 1.0719,
|
| 298 |
+
"step": 195
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 0.17150207231670717,
|
| 302 |
+
"grad_norm": 3.064466109382867,
|
| 303 |
+
"learning_rate": 3.1359144093809653e-06,
|
| 304 |
+
"loss": 0.9007,
|
| 305 |
+
"step": 200
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.17578962412462484,
|
| 309 |
+
"grad_norm": 3.3202976410761815,
|
| 310 |
+
"learning_rate": 3.084870685533213e-06,
|
| 311 |
+
"loss": 1.0225,
|
| 312 |
+
"step": 205
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 0.18007717593254252,
|
| 316 |
+
"grad_norm": 9.376729410524437,
|
| 317 |
+
"learning_rate": 3.034486601794506e-06,
|
| 318 |
+
"loss": 0.8927,
|
| 319 |
+
"step": 210
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.1843647277404602,
|
| 323 |
+
"grad_norm": 4.24264134885146,
|
| 324 |
+
"learning_rate": 2.984757016802754e-06,
|
| 325 |
+
"loss": 0.8904,
|
| 326 |
+
"step": 215
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.18865227954837788,
|
| 330 |
+
"grad_norm": 3.401996163001482,
|
| 331 |
+
"learning_rate": 2.935676802623359e-06,
|
| 332 |
+
"loss": 0.89,
|
| 333 |
+
"step": 220
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 0.19293983135629555,
|
| 337 |
+
"grad_norm": 2.811911382062161,
|
| 338 |
+
"learning_rate": 2.887240844784472e-06,
|
| 339 |
+
"loss": 1.0528,
|
| 340 |
+
"step": 225
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 0.19722738316421323,
|
| 344 |
+
"grad_norm": 6.117694360086105,
|
| 345 |
+
"learning_rate": 2.8394440423125295e-06,
|
| 346 |
+
"loss": 0.957,
|
| 347 |
+
"step": 230
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.2015149349721309,
|
| 351 |
+
"grad_norm": 2.5418193456876024,
|
| 352 |
+
"learning_rate": 2.7922813077680564e-06,
|
| 353 |
+
"loss": 0.8757,
|
| 354 |
+
"step": 235
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.2058024867800486,
|
| 358 |
+
"grad_norm": 2.980094551138022,
|
| 359 |
+
"learning_rate": 2.7457475672817817e-06,
|
| 360 |
+
"loss": 0.7212,
|
| 361 |
+
"step": 240
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.2058024867800486,
|
| 365 |
+
"eval_loss": 0.9225141406059265,
|
| 366 |
+
"eval_runtime": 19.142,
|
| 367 |
+
"eval_samples_per_second": 10.448,
|
| 368 |
+
"eval_steps_per_second": 2.612,
|
| 369 |
+
"step": 240
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.21009003858796627,
|
| 373 |
+
"grad_norm": 2.8229472248870113,
|
| 374 |
+
"learning_rate": 2.6998377605910153e-06,
|
| 375 |
+
"loss": 0.7847,
|
| 376 |
+
"step": 245
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 0.21437759039588394,
|
| 380 |
+
"grad_norm": 3.313576806878507,
|
| 381 |
+
"learning_rate": 2.6545468410763466e-06,
|
| 382 |
+
"loss": 0.7885,
|
| 383 |
+
"step": 250
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 0.21866514220380162,
|
| 387 |
+
"grad_norm": 2.7546057206480863,
|
| 388 |
+
"learning_rate": 2.60986977579862e-06,
|
| 389 |
+
"loss": 0.9853,
|
| 390 |
+
"step": 255
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.2229526940117193,
|
| 394 |
+
"grad_norm": 2.62325989569962,
|
| 395 |
+
"learning_rate": 2.565801545536224e-06,
|
| 396 |
+
"loss": 0.8693,
|
| 397 |
+
"step": 260
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.22724024581963698,
|
| 401 |
+
"grad_norm": 2.494330977302947,
|
| 402 |
+
"learning_rate": 2.52233714482269e-06,
|
| 403 |
+
"loss": 0.8483,
|
| 404 |
+
"step": 265
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.23152779762755465,
|
| 408 |
+
"grad_norm": 3.0508796153780815,
|
| 409 |
+
"learning_rate": 2.479471581984588e-06,
|
| 410 |
+
"loss": 0.9198,
|
| 411 |
+
"step": 270
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.23581534943547233,
|
| 415 |
+
"grad_norm": 2.8596047579477077,
|
| 416 |
+
"learning_rate": 2.437199879179748e-06,
|
| 417 |
+
"loss": 0.8111,
|
| 418 |
+
"step": 275
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 0.24010290124339004,
|
| 422 |
+
"grad_norm": 2.9634105907172676,
|
| 423 |
+
"learning_rate": 2.395517072435804e-06,
|
| 424 |
+
"loss": 0.9249,
|
| 425 |
+
"step": 280
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 0.24439045305130772,
|
| 429 |
+
"grad_norm": 2.876075717907315,
|
| 430 |
+
"learning_rate": 2.35441821168905e-06,
|
| 431 |
+
"loss": 0.8466,
|
| 432 |
+
"step": 285
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 0.2486780048592254,
|
| 436 |
+
"grad_norm": 2.707429407550077,
|
| 437 |
+
"learning_rate": 2.313898360823632e-06,
|
| 438 |
+
"loss": 0.8335,
|
| 439 |
+
"step": 290
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 0.25296555666714304,
|
| 443 |
+
"grad_norm": 2.424659422914543,
|
| 444 |
+
"learning_rate": 2.2739525977110787e-06,
|
| 445 |
+
"loss": 0.9591,
|
| 446 |
+
"step": 295
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.2572531084750607,
|
| 450 |
+
"grad_norm": 2.3503862613323054,
|
| 451 |
+
"learning_rate": 2.234576014250154e-06,
|
| 452 |
+
"loss": 0.8867,
|
| 453 |
+
"step": 300
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.2615406602829784,
|
| 457 |
+
"grad_norm": 2.487930933633346,
|
| 458 |
+
"learning_rate": 2.195763716407068e-06,
|
| 459 |
+
"loss": 0.9301,
|
| 460 |
+
"step": 305
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.2658282120908961,
|
| 464 |
+
"grad_norm": 2.9951853980801206,
|
| 465 |
+
"learning_rate": 2.15751082425603e-06,
|
| 466 |
+
"loss": 0.8933,
|
| 467 |
+
"step": 310
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.27011576389881375,
|
| 471 |
+
"grad_norm": 2.6479548343780044,
|
| 472 |
+
"learning_rate": 2.119812472020151e-06,
|
| 473 |
+
"loss": 1.1902,
|
| 474 |
+
"step": 315
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.27440331570673143,
|
| 478 |
+
"grad_norm": 3.031373376327646,
|
| 479 |
+
"learning_rate": 2.082663808112706e-06,
|
| 480 |
+
"loss": 0.8077,
|
| 481 |
+
"step": 320
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.27440331570673143,
|
| 485 |
+
"eval_loss": 0.9141628742218018,
|
| 486 |
+
"eval_runtime": 19.1329,
|
| 487 |
+
"eval_samples_per_second": 10.453,
|
| 488 |
+
"eval_steps_per_second": 2.613,
|
| 489 |
+
"step": 320
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.2786908675146491,
|
| 493 |
+
"grad_norm": 3.8925204318472777,
|
| 494 |
+
"learning_rate": 2.0460599951787676e-06,
|
| 495 |
+
"loss": 1.003,
|
| 496 |
+
"step": 325
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.2829784193225668,
|
| 500 |
+
"grad_norm": 2.8374998009671213,
|
| 501 |
+
"learning_rate": 2.0099962101371912e-06,
|
| 502 |
+
"loss": 0.9517,
|
| 503 |
+
"step": 330
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 0.2872659711304845,
|
| 507 |
+
"grad_norm": 2.7039222330267725,
|
| 508 |
+
"learning_rate": 1.9744676442229893e-06,
|
| 509 |
+
"loss": 0.8129,
|
| 510 |
+
"step": 335
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 0.2915535229384022,
|
| 514 |
+
"grad_norm": 3.5945398321446014,
|
| 515 |
+
"learning_rate": 1.9394695030300814e-06,
|
| 516 |
+
"loss": 0.9616,
|
| 517 |
+
"step": 340
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 0.2958410747463199,
|
| 521 |
+
"grad_norm": 4.022714585976749,
|
| 522 |
+
"learning_rate": 1.904997006554424e-06,
|
| 523 |
+
"loss": 0.9347,
|
| 524 |
+
"step": 345
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 0.30012862655423755,
|
| 528 |
+
"grad_norm": 2.449025495886818,
|
| 529 |
+
"learning_rate": 1.8710453892375372e-06,
|
| 530 |
+
"loss": 0.9365,
|
| 531 |
+
"step": 350
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 0.30441617836215523,
|
| 535 |
+
"grad_norm": 1.97102566822208,
|
| 536 |
+
"learning_rate": 1.837609900010423e-06,
|
| 537 |
+
"loss": 1.0678,
|
| 538 |
+
"step": 355
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 0.3087037301700729,
|
| 542 |
+
"grad_norm": 2.9794081240205292,
|
| 543 |
+
"learning_rate": 1.8046858023378982e-06,
|
| 544 |
+
"loss": 0.8233,
|
| 545 |
+
"step": 360
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 0.3129912819779906,
|
| 549 |
+
"grad_norm": 2.623718879014175,
|
| 550 |
+
"learning_rate": 1.7722683742633203e-06,
|
| 551 |
+
"loss": 1.089,
|
| 552 |
+
"step": 365
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 0.31727883378590827,
|
| 556 |
+
"grad_norm": 3.1393160530750808,
|
| 557 |
+
"learning_rate": 1.7403529084537394e-06,
|
| 558 |
+
"loss": 0.8982,
|
| 559 |
+
"step": 370
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 0.32156638559382594,
|
| 563 |
+
"grad_norm": 3.5048967956402506,
|
| 564 |
+
"learning_rate": 1.708934712245474e-06,
|
| 565 |
+
"loss": 0.8602,
|
| 566 |
+
"step": 375
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 0.3258539374017436,
|
| 570 |
+
"grad_norm": 2.731824579589462,
|
| 571 |
+
"learning_rate": 1.6780091076901074e-06,
|
| 572 |
+
"loss": 0.9206,
|
| 573 |
+
"step": 380
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 0.3301414892096613,
|
| 577 |
+
"grad_norm": 2.6508962987997164,
|
| 578 |
+
"learning_rate": 1.6475714316009228e-06,
|
| 579 |
+
"loss": 0.9,
|
| 580 |
+
"step": 385
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 0.334429041017579,
|
| 584 |
+
"grad_norm": 3.3563303629070194,
|
| 585 |
+
"learning_rate": 1.6176170355997885e-06,
|
| 586 |
+
"loss": 0.9077,
|
| 587 |
+
"step": 390
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 0.33871659282549665,
|
| 591 |
+
"grad_norm": 2.510811889533464,
|
| 592 |
+
"learning_rate": 1.5881412861644783e-06,
|
| 593 |
+
"loss": 0.8796,
|
| 594 |
+
"step": 395
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 0.34300414463341433,
|
| 598 |
+
"grad_norm": 2.7025767408039423,
|
| 599 |
+
"learning_rate": 1.559139564676459e-06,
|
| 600 |
+
"loss": 0.8442,
|
| 601 |
+
"step": 400
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.34300414463341433,
|
| 605 |
+
"eval_loss": 0.9068123698234558,
|
| 606 |
+
"eval_runtime": 19.1503,
|
| 607 |
+
"eval_samples_per_second": 10.444,
|
| 608 |
+
"eval_steps_per_second": 2.611,
|
| 609 |
+
"step": 400
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.347291696441332,
|
| 613 |
+
"grad_norm": 2.3723461526691687,
|
| 614 |
+
"learning_rate": 1.530607267469142e-06,
|
| 615 |
+
"loss": 0.8776,
|
| 616 |
+
"step": 405
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 0.3515792482492497,
|
| 620 |
+
"grad_norm": 2.326426360163379,
|
| 621 |
+
"learning_rate": 1.502539805876598e-06,
|
| 622 |
+
"loss": 0.8368,
|
| 623 |
+
"step": 410
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 0.35586680005716737,
|
| 627 |
+
"grad_norm": 2.609797589938526,
|
| 628 |
+
"learning_rate": 1.4749326062827624e-06,
|
| 629 |
+
"loss": 0.8314,
|
| 630 |
+
"step": 415
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 0.36015435186508504,
|
| 634 |
+
"grad_norm": 3.018034878541378,
|
| 635 |
+
"learning_rate": 1.447781110171118e-06,
|
| 636 |
+
"loss": 0.8639,
|
| 637 |
+
"step": 420
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 0.3644419036730027,
|
| 641 |
+
"grad_norm": 2.9665919577118394,
|
| 642 |
+
"learning_rate": 1.421080774174884e-06,
|
| 643 |
+
"loss": 0.8738,
|
| 644 |
+
"step": 425
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 0.3687294554809204,
|
| 648 |
+
"grad_norm": 2.7395052466656082,
|
| 649 |
+
"learning_rate": 1.3948270701276901e-06,
|
| 650 |
+
"loss": 0.8124,
|
| 651 |
+
"step": 430
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 0.3730170072888381,
|
| 655 |
+
"grad_norm": 2.4814426410417547,
|
| 656 |
+
"learning_rate": 1.3690154851147892e-06,
|
| 657 |
+
"loss": 0.8018,
|
| 658 |
+
"step": 435
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 0.37730455909675575,
|
| 662 |
+
"grad_norm": 2.9039262323143697,
|
| 663 |
+
"learning_rate": 1.3436415215247681e-06,
|
| 664 |
+
"loss": 0.7621,
|
| 665 |
+
"step": 440
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 0.38159211090467343,
|
| 669 |
+
"grad_norm": 2.776860383566422,
|
| 670 |
+
"learning_rate": 1.3187006971017973e-06,
|
| 671 |
+
"loss": 0.9082,
|
| 672 |
+
"step": 445
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 0.3858796627125911,
|
| 676 |
+
"grad_norm": 2.1181970553123257,
|
| 677 |
+
"learning_rate": 1.2941885449984206e-06,
|
| 678 |
+
"loss": 0.8821,
|
| 679 |
+
"step": 450
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 0.3901672145205088,
|
| 683 |
+
"grad_norm": 2.5660032110684767,
|
| 684 |
+
"learning_rate": 1.2701006138288915e-06,
|
| 685 |
+
"loss": 0.9639,
|
| 686 |
+
"step": 455
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 0.39445476632842646,
|
| 690 |
+
"grad_norm": 4.632813592554,
|
| 691 |
+
"learning_rate": 1.2464324677230652e-06,
|
| 692 |
+
"loss": 0.9052,
|
| 693 |
+
"step": 460
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 0.39874231813634414,
|
| 697 |
+
"grad_norm": 3.394837987828098,
|
| 698 |
+
"learning_rate": 1.22317968638086e-06,
|
| 699 |
+
"loss": 0.8723,
|
| 700 |
+
"step": 465
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 0.4030298699442618,
|
| 704 |
+
"grad_norm": 2.716611388027132,
|
| 705 |
+
"learning_rate": 1.2003378651272997e-06,
|
| 706 |
+
"loss": 0.8457,
|
| 707 |
+
"step": 470
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 0.4073174217521795,
|
| 711 |
+
"grad_norm": 2.1520375204146625,
|
| 712 |
+
"learning_rate": 1.1779026149681347e-06,
|
| 713 |
+
"loss": 0.9502,
|
| 714 |
+
"step": 475
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 0.4116049735600972,
|
| 718 |
+
"grad_norm": 2.7552080232688696,
|
| 719 |
+
"learning_rate": 1.155869562646071e-06,
|
| 720 |
+
"loss": 0.831,
|
| 721 |
+
"step": 480
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.4116049735600972,
|
| 725 |
+
"eval_loss": 0.9032189846038818,
|
| 726 |
+
"eval_runtime": 19.1348,
|
| 727 |
+
"eval_samples_per_second": 10.452,
|
| 728 |
+
"eval_steps_per_second": 2.613,
|
| 729 |
+
"step": 480
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.41589252536801485,
|
| 733 |
+
"grad_norm": 2.0689491545152663,
|
| 734 |
+
"learning_rate": 1.1342343506976044e-06,
|
| 735 |
+
"loss": 0.8338,
|
| 736 |
+
"step": 485
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 0.42018007717593253,
|
| 740 |
+
"grad_norm": 3.2134570774473494,
|
| 741 |
+
"learning_rate": 1.1129926375104734e-06,
|
| 742 |
+
"loss": 0.8289,
|
| 743 |
+
"step": 490
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 0.4244676289838502,
|
| 747 |
+
"grad_norm": 2.822597617038844,
|
| 748 |
+
"learning_rate": 1.0921400973817452e-06,
|
| 749 |
+
"loss": 0.9218,
|
| 750 |
+
"step": 495
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 0.4287551807917679,
|
| 754 |
+
"grad_norm": 3.1918997161652003,
|
| 755 |
+
"learning_rate": 1.071672420576549e-06,
|
| 756 |
+
"loss": 0.8467,
|
| 757 |
+
"step": 500
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.43304273259968556,
|
| 761 |
+
"grad_norm": 3.0230981418285885,
|
| 762 |
+
"learning_rate": 1.051585313387455e-06,
|
| 763 |
+
"loss": 0.8871,
|
| 764 |
+
"step": 505
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 0.43733028440760324,
|
| 768 |
+
"grad_norm": 2.345223930068171,
|
| 769 |
+
"learning_rate": 1.0318744981945303e-06,
|
| 770 |
+
"loss": 1.1172,
|
| 771 |
+
"step": 510
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 0.4416178362155209,
|
| 775 |
+
"grad_norm": 2.23873439529607,
|
| 776 |
+
"learning_rate": 1.0125357135260713e-06,
|
| 777 |
+
"loss": 1.0281,
|
| 778 |
+
"step": 515
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 0.4459053880234386,
|
| 782 |
+
"grad_norm": 2.17521388870601,
|
| 783 |
+
"learning_rate": 9.93564714120029e-07,
|
| 784 |
+
"loss": 0.9027,
|
| 785 |
+
"step": 520
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 0.4501929398313563,
|
| 789 |
+
"grad_norm": 2.805982076338286,
|
| 790 |
+
"learning_rate": 9.749572709861371e-07,
|
| 791 |
+
"loss": 0.8424,
|
| 792 |
+
"step": 525
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 0.45448049163927395,
|
| 796 |
+
"grad_norm": 3.076865463356093,
|
| 797 |
+
"learning_rate": 9.5670917146877e-07,
|
| 798 |
+
"loss": 1.0317,
|
| 799 |
+
"step": 530
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 0.45876804344719163,
|
| 803 |
+
"grad_norm": 2.351075063586948,
|
| 804 |
+
"learning_rate": 9.38816219310525e-07,
|
| 805 |
+
"loss": 0.9455,
|
| 806 |
+
"step": 535
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 0.4630555952551093,
|
| 810 |
+
"grad_norm": 3.042494238619368,
|
| 811 |
+
"learning_rate": 9.212742347165562e-07,
|
| 812 |
+
"loss": 0.914,
|
| 813 |
+
"step": 540
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 0.467343147063027,
|
| 817 |
+
"grad_norm": 2.51152797954818,
|
| 818 |
+
"learning_rate": 9.040790544196722e-07,
|
| 819 |
+
"loss": 0.8507,
|
| 820 |
+
"step": 545
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 0.47163069887094466,
|
| 824 |
+
"grad_norm": 2.2530854319732647,
|
| 825 |
+
"learning_rate": 8.872265317462145e-07,
|
| 826 |
+
"loss": 0.7923,
|
| 827 |
+
"step": 550
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 0.47591825067886234,
|
| 831 |
+
"grad_norm": 2.4496883783363876,
|
| 832 |
+
"learning_rate": 8.707125366827236e-07,
|
| 833 |
+
"loss": 0.8219,
|
| 834 |
+
"step": 555
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 0.4802058024867801,
|
| 838 |
+
"grad_norm": 2.85322554374369,
|
| 839 |
+
"learning_rate": 8.54532955943421e-07,
|
| 840 |
+
"loss": 0.9696,
|
| 841 |
+
"step": 560
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 0.4802058024867801,
|
| 845 |
+
"eval_loss": 0.8974508047103882,
|
| 846 |
+
"eval_runtime": 19.0314,
|
| 847 |
+
"eval_samples_per_second": 10.509,
|
| 848 |
+
"eval_steps_per_second": 2.627,
|
| 849 |
+
"step": 560
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.48449335429469775,
|
| 853 |
+
"grad_norm": 2.657892610245309,
|
| 854 |
+
"learning_rate": 8.386836930385165e-07,
|
| 855 |
+
"loss": 0.8421,
|
| 856 |
+
"step": 565
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.48878090610261543,
|
| 860 |
+
"grad_norm": 2.602711920187755,
|
| 861 |
+
"learning_rate": 8.231606683433569e-07,
|
| 862 |
+
"loss": 0.8295,
|
| 863 |
+
"step": 570
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.4930684579105331,
|
| 867 |
+
"grad_norm": 2.1213399589470616,
|
| 868 |
+
"learning_rate": 8.079598191684382e-07,
|
| 869 |
+
"loss": 0.8803,
|
| 870 |
+
"step": 575
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.4973560097184508,
|
| 874 |
+
"grad_norm": 2.244791995121278,
|
| 875 |
+
"learning_rate": 7.930770998302978e-07,
|
| 876 |
+
"loss": 0.8343,
|
| 877 |
+
"step": 580
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.5016435615263685,
|
| 881 |
+
"grad_norm": 2.566423079642009,
|
| 882 |
+
"learning_rate": 7.785084817233009e-07,
|
| 883 |
+
"loss": 0.8736,
|
| 884 |
+
"step": 585
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.5059311133342861,
|
| 888 |
+
"grad_norm": 2.3039665634657487,
|
| 889 |
+
"learning_rate": 7.642499533923466e-07,
|
| 890 |
+
"loss": 0.8449,
|
| 891 |
+
"step": 590
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.5102186651422038,
|
| 895 |
+
"grad_norm": 2.6413196407680095,
|
| 896 |
+
"learning_rate": 7.502975206065118e-07,
|
| 897 |
+
"loss": 0.9765,
|
| 898 |
+
"step": 595
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.5145062169501214,
|
| 902 |
+
"grad_norm": 2.6494694608389806,
|
| 903 |
+
"learning_rate": 7.366472064336485e-07,
|
| 904 |
+
"loss": 1.041,
|
| 905 |
+
"step": 600
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.5187937687580392,
|
| 909 |
+
"grad_norm": 2.777084503723626,
|
| 910 |
+
"learning_rate": 7.232950513159591e-07,
|
| 911 |
+
"loss": 0.7932,
|
| 912 |
+
"step": 605
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.5230813205659568,
|
| 916 |
+
"grad_norm": 2.487662762486022,
|
| 917 |
+
"learning_rate": 7.102371131465766e-07,
|
| 918 |
+
"loss": 0.8704,
|
| 919 |
+
"step": 610
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.5273688723738745,
|
| 923 |
+
"grad_norm": 2.55250344248028,
|
| 924 |
+
"learning_rate": 6.974694673471581e-07,
|
| 925 |
+
"loss": 0.8656,
|
| 926 |
+
"step": 615
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.5316564241817922,
|
| 930 |
+
"grad_norm": 3.215607059371808,
|
| 931 |
+
"learning_rate": 6.849882069465297e-07,
|
| 932 |
+
"loss": 0.8775,
|
| 933 |
+
"step": 620
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.5359439759897099,
|
| 937 |
+
"grad_norm": 2.663679299659993,
|
| 938 |
+
"learning_rate": 6.727894426603947e-07,
|
| 939 |
+
"loss": 0.9558,
|
| 940 |
+
"step": 625
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.5402315277976275,
|
| 944 |
+
"grad_norm": 1.8863771094416066,
|
| 945 |
+
"learning_rate": 6.608693029721375e-07,
|
| 946 |
+
"loss": 1.0649,
|
| 947 |
+
"step": 630
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.5445190796055452,
|
| 951 |
+
"grad_norm": 2.3166038184540345,
|
| 952 |
+
"learning_rate": 6.492239342147439e-07,
|
| 953 |
+
"loss": 0.9116,
|
| 954 |
+
"step": 635
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.5488066314134629,
|
| 958 |
+
"grad_norm": 2.451365227453816,
|
| 959 |
+
"learning_rate": 6.378495006538639e-07,
|
| 960 |
+
"loss": 0.9949,
|
| 961 |
+
"step": 640
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.5488066314134629,
|
| 965 |
+
"eval_loss": 0.8972450494766235,
|
| 966 |
+
"eval_runtime": 19.0746,
|
| 967 |
+
"eval_samples_per_second": 10.485,
|
| 968 |
+
"eval_steps_per_second": 2.621,
|
| 969 |
+
"step": 640
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.5530941832213806,
|
| 973 |
+
"grad_norm": 2.431525558235171,
|
| 974 |
+
"learning_rate": 6.267421845720492e-07,
|
| 975 |
+
"loss": 0.9208,
|
| 976 |
+
"step": 645
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.5573817350292982,
|
| 980 |
+
"grad_norm": 3.025842320604373,
|
| 981 |
+
"learning_rate": 6.158981863541822e-07,
|
| 982 |
+
"loss": 0.8782,
|
| 983 |
+
"step": 650
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.561669286837216,
|
| 987 |
+
"grad_norm": 2.713593393993989,
|
| 988 |
+
"learning_rate": 6.053137245741388e-07,
|
| 989 |
+
"loss": 0.8848,
|
| 990 |
+
"step": 655
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.5659568386451336,
|
| 994 |
+
"grad_norm": 2.364400143996411,
|
| 995 |
+
"learning_rate": 5.949850360827048e-07,
|
| 996 |
+
"loss": 0.8214,
|
| 997 |
+
"step": 660
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.5702443904530513,
|
| 1001 |
+
"grad_norm": 3.1249075781445654,
|
| 1002 |
+
"learning_rate": 5.849083760967786e-07,
|
| 1003 |
+
"loss": 0.9232,
|
| 1004 |
+
"step": 665
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.574531942260969,
|
| 1008 |
+
"grad_norm": 2.371939438179526,
|
| 1009 |
+
"learning_rate": 5.750800182898949e-07,
|
| 1010 |
+
"loss": 0.9599,
|
| 1011 |
+
"step": 670
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.5788194940688867,
|
| 1015 |
+
"grad_norm": 2.657320971034355,
|
| 1016 |
+
"learning_rate": 5.654962548840998e-07,
|
| 1017 |
+
"loss": 0.957,
|
| 1018 |
+
"step": 675
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.5831070458768044,
|
| 1022 |
+
"grad_norm": 1.9610510581627134,
|
| 1023 |
+
"learning_rate": 5.561533967432111e-07,
|
| 1024 |
+
"loss": 0.8544,
|
| 1025 |
+
"step": 680
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.587394597684722,
|
| 1029 |
+
"grad_norm": 1.9590021785129759,
|
| 1030 |
+
"learning_rate": 5.470477734675006e-07,
|
| 1031 |
+
"loss": 0.9022,
|
| 1032 |
+
"step": 685
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.5916821494926398,
|
| 1036 |
+
"grad_norm": 3.0946081747543532,
|
| 1037 |
+
"learning_rate": 5.381757334898326e-07,
|
| 1038 |
+
"loss": 0.8607,
|
| 1039 |
+
"step": 690
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.5959697013005574,
|
| 1043 |
+
"grad_norm": 2.6523600890631447,
|
| 1044 |
+
"learning_rate": 5.295336441732995e-07,
|
| 1045 |
+
"loss": 0.9483,
|
| 1046 |
+
"step": 695
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.6002572531084751,
|
| 1050 |
+
"grad_norm": 2.6162593545931943,
|
| 1051 |
+
"learning_rate": 5.211178919103908e-07,
|
| 1052 |
+
"loss": 0.8484,
|
| 1053 |
+
"step": 700
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.6045448049163927,
|
| 1057 |
+
"grad_norm": 2.7584028741566935,
|
| 1058 |
+
"learning_rate": 5.129248822237369e-07,
|
| 1059 |
+
"loss": 0.8153,
|
| 1060 |
+
"step": 705
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.6088323567243105,
|
| 1064 |
+
"grad_norm": 2.2177368688014263,
|
| 1065 |
+
"learning_rate": 5.049510398684706e-07,
|
| 1066 |
+
"loss": 0.8865,
|
| 1067 |
+
"step": 710
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.6131199085322281,
|
| 1071 |
+
"grad_norm": 2.7385320493457175,
|
| 1072 |
+
"learning_rate": 4.97192808936251e-07,
|
| 1073 |
+
"loss": 0.8288,
|
| 1074 |
+
"step": 715
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.6174074603401458,
|
| 1078 |
+
"grad_norm": 2.969022490845044,
|
| 1079 |
+
"learning_rate": 4.896466529609901e-07,
|
| 1080 |
+
"loss": 0.8154,
|
| 1081 |
+
"step": 720
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.6174074603401458,
|
| 1085 |
+
"eval_loss": 0.8948369026184082,
|
| 1086 |
+
"eval_runtime": 19.0474,
|
| 1087 |
+
"eval_samples_per_second": 10.5,
|
| 1088 |
+
"eval_steps_per_second": 2.625,
|
| 1089 |
+
"step": 720
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.6216950121480634,
|
| 1093 |
+
"grad_norm": 2.4080414960336576,
|
| 1094 |
+
"learning_rate": 4.823090550263373e-07,
|
| 1095 |
+
"loss": 0.8132,
|
| 1096 |
+
"step": 725
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 0.6259825639559812,
|
| 1100 |
+
"grad_norm": 2.4062548632108305,
|
| 1101 |
+
"learning_rate": 4.7517651787496393e-07,
|
| 1102 |
+
"loss": 0.8563,
|
| 1103 |
+
"step": 730
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 0.6302701157638988,
|
| 1107 |
+
"grad_norm": 2.4974176263678145,
|
| 1108 |
+
"learning_rate": 4.682455640197012e-07,
|
| 1109 |
+
"loss": 0.83,
|
| 1110 |
+
"step": 735
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 0.6345576675718165,
|
| 1114 |
+
"grad_norm": 2.782934403189113,
|
| 1115 |
+
"learning_rate": 4.6151273585658703e-07,
|
| 1116 |
+
"loss": 0.7722,
|
| 1117 |
+
"step": 740
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 0.6388452193797342,
|
| 1121 |
+
"grad_norm": 3.589995905013926,
|
| 1122 |
+
"learning_rate": 4.549745957798709e-07,
|
| 1123 |
+
"loss": 0.9013,
|
| 1124 |
+
"step": 745
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 0.6431327711876519,
|
| 1128 |
+
"grad_norm": 1.5164412373226497,
|
| 1129 |
+
"learning_rate": 4.486277262990414e-07,
|
| 1130 |
+
"loss": 0.8061,
|
| 1131 |
+
"step": 750
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 0.6474203229955695,
|
| 1135 |
+
"grad_norm": 2.4822941257221496,
|
| 1136 |
+
"learning_rate": 4.424687301579312e-07,
|
| 1137 |
+
"loss": 0.8018,
|
| 1138 |
+
"step": 755
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 0.6517078748034872,
|
| 1142 |
+
"grad_norm": 2.3163460863010044,
|
| 1143 |
+
"learning_rate": 4.364942304559619e-07,
|
| 1144 |
+
"loss": 0.97,
|
| 1145 |
+
"step": 760
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 0.6559954266114049,
|
| 1149 |
+
"grad_norm": 2.5709552598683048,
|
| 1150 |
+
"learning_rate": 4.307008707715972e-07,
|
| 1151 |
+
"loss": 0.8424,
|
| 1152 |
+
"step": 765
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 0.6602829784193226,
|
| 1156 |
+
"grad_norm": 2.97580695190474,
|
| 1157 |
+
"learning_rate": 4.250853152880694e-07,
|
| 1158 |
+
"loss": 0.9495,
|
| 1159 |
+
"step": 770
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 0.6645705302272402,
|
| 1163 |
+
"grad_norm": 2.780816600415984,
|
| 1164 |
+
"learning_rate": 4.1964424892144836e-07,
|
| 1165 |
+
"loss": 0.9217,
|
| 1166 |
+
"step": 775
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 0.668858082035158,
|
| 1170 |
+
"grad_norm": 3.106789897489022,
|
| 1171 |
+
"learning_rate": 4.143743774511321e-07,
|
| 1172 |
+
"loss": 0.7872,
|
| 1173 |
+
"step": 780
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 0.6731456338430756,
|
| 1177 |
+
"grad_norm": 2.6180834213520425,
|
| 1178 |
+
"learning_rate": 4.0927242765282987e-07,
|
| 1179 |
+
"loss": 0.9516,
|
| 1180 |
+
"step": 785
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 0.6774331856509933,
|
| 1184 |
+
"grad_norm": 3.3693090699327675,
|
| 1185 |
+
"learning_rate": 4.043351474341226e-07,
|
| 1186 |
+
"loss": 0.918,
|
| 1187 |
+
"step": 790
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 0.6817207374589109,
|
| 1191 |
+
"grad_norm": 2.6455267685583292,
|
| 1192 |
+
"learning_rate": 3.995593059726841e-07,
|
| 1193 |
+
"loss": 0.8869,
|
| 1194 |
+
"step": 795
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 0.6860082892668287,
|
| 1198 |
+
"grad_norm": 2.6976779093683985,
|
| 1199 |
+
"learning_rate": 3.9494169385724855e-07,
|
| 1200 |
+
"loss": 0.9682,
|
| 1201 |
+
"step": 800
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 0.6860082892668287,
|
| 1205 |
+
"eval_loss": 0.8931262493133545,
|
| 1206 |
+
"eval_runtime": 19.039,
|
| 1207 |
+
"eval_samples_per_second": 10.505,
|
| 1208 |
+
"eval_steps_per_second": 2.626,
|
| 1209 |
+
"step": 800
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.6902958410747463,
|
| 1213 |
+
"grad_norm": 2.73935107332009,
|
| 1214 |
+
"learning_rate": 3.904791232314207e-07,
|
| 1215 |
+
"loss": 0.9497,
|
| 1216 |
+
"step": 805
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 0.694583392882664,
|
| 1220 |
+
"grad_norm": 2.594513781497614,
|
| 1221 |
+
"learning_rate": 3.861684279404229e-07,
|
| 1222 |
+
"loss": 0.9616,
|
| 1223 |
+
"step": 810
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.6988709446905816,
|
| 1227 |
+
"grad_norm": 2.2189306808012694,
|
| 1228 |
+
"learning_rate": 3.820064636808802e-07,
|
| 1229 |
+
"loss": 1.0817,
|
| 1230 |
+
"step": 815
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 0.7031584964984994,
|
| 1234 |
+
"grad_norm": 2.636673641067638,
|
| 1235 |
+
"learning_rate": 3.7799010815375107e-07,
|
| 1236 |
+
"loss": 0.9003,
|
| 1237 |
+
"step": 820
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.707446048306417,
|
| 1241 |
+
"grad_norm": 2.074697655719305,
|
| 1242 |
+
"learning_rate": 3.741162612205157e-07,
|
| 1243 |
+
"loss": 1.1193,
|
| 1244 |
+
"step": 825
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.7117336001143347,
|
| 1248 |
+
"grad_norm": 2.4627913841496425,
|
| 1249 |
+
"learning_rate": 3.703818450627364e-07,
|
| 1250 |
+
"loss": 0.8603,
|
| 1251 |
+
"step": 830
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.7160211519222524,
|
| 1255 |
+
"grad_norm": 2.4468198599625044,
|
| 1256 |
+
"learning_rate": 3.6678380434511737e-07,
|
| 1257 |
+
"loss": 1.012,
|
| 1258 |
+
"step": 835
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.7203087037301701,
|
| 1262 |
+
"grad_norm": 2.231882643368985,
|
| 1263 |
+
"learning_rate": 3.6331910638219e-07,
|
| 1264 |
+
"loss": 1.0174,
|
| 1265 |
+
"step": 840
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.7245962555380877,
|
| 1269 |
+
"grad_norm": 3.0961788514759374,
|
| 1270 |
+
"learning_rate": 3.5998474130876195e-07,
|
| 1271 |
+
"loss": 0.982,
|
| 1272 |
+
"step": 845
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.7288838073460054,
|
| 1276 |
+
"grad_norm": 2.699948117104775,
|
| 1277 |
+
"learning_rate": 3.567777222542744e-07,
|
| 1278 |
+
"loss": 0.9954,
|
| 1279 |
+
"step": 850
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.7331713591539231,
|
| 1283 |
+
"grad_norm": 2.0352300295309815,
|
| 1284 |
+
"learning_rate": 3.536950855212165e-07,
|
| 1285 |
+
"loss": 0.9349,
|
| 1286 |
+
"step": 855
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.7374589109618408,
|
| 1290 |
+
"grad_norm": 2.3439290267355664,
|
| 1291 |
+
"learning_rate": 3.5073389076775976e-07,
|
| 1292 |
+
"loss": 1.1525,
|
| 1293 |
+
"step": 860
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.7417464627697584,
|
| 1297 |
+
"grad_norm": 1.8013900413258555,
|
| 1298 |
+
"learning_rate": 3.4789122119478064e-07,
|
| 1299 |
+
"loss": 1.0404,
|
| 1300 |
+
"step": 865
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.7460340145776762,
|
| 1304 |
+
"grad_norm": 2.432177798756092,
|
| 1305 |
+
"learning_rate": 3.451641837374477e-07,
|
| 1306 |
+
"loss": 1.1018,
|
| 1307 |
+
"step": 870
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.7503215663855938,
|
| 1311 |
+
"grad_norm": 2.339931147492053,
|
| 1312 |
+
"learning_rate": 3.425499092615662e-07,
|
| 1313 |
+
"loss": 1.0088,
|
| 1314 |
+
"step": 875
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.7546091181935115,
|
| 1318 |
+
"grad_norm": 2.865649768086174,
|
| 1319 |
+
"learning_rate": 3.4004555276487614e-07,
|
| 1320 |
+
"loss": 0.9491,
|
| 1321 |
+
"step": 880
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.7546091181935115,
|
| 1325 |
+
"eval_loss": 0.9030270576477051,
|
| 1326 |
+
"eval_runtime": 19.0612,
|
| 1327 |
+
"eval_samples_per_second": 10.493,
|
| 1328 |
+
"eval_steps_per_second": 2.623,
|
| 1329 |
+
"step": 880
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.7588966700014291,
|
| 1333 |
+
"grad_norm": 1.9608521922901478,
|
| 1334 |
+
"learning_rate": 3.376482935835186e-07,
|
| 1335 |
+
"loss": 1.0566,
|
| 1336 |
+
"step": 885
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.7631842218093469,
|
| 1340 |
+
"grad_norm": 2.001405740517041,
|
| 1341 |
+
"learning_rate": 3.3535533560389486e-07,
|
| 1342 |
+
"loss": 1.0203,
|
| 1343 |
+
"step": 890
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.7674717736172646,
|
| 1347 |
+
"grad_norm": 3.114574828020116,
|
| 1348 |
+
"learning_rate": 3.331639074801548e-07,
|
| 1349 |
+
"loss": 0.9489,
|
| 1350 |
+
"step": 895
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.7717593254251822,
|
| 1354 |
+
"grad_norm": 2.3092110155282985,
|
| 1355 |
+
"learning_rate": 3.3107126285757256e-07,
|
| 1356 |
+
"loss": 0.9057,
|
| 1357 |
+
"step": 900
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.7760468772331,
|
| 1361 |
+
"grad_norm": 2.714773467015402,
|
| 1362 |
+
"learning_rate": 3.290746806020766e-07,
|
| 1363 |
+
"loss": 0.9441,
|
| 1364 |
+
"step": 905
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.7803344290410176,
|
| 1368 |
+
"grad_norm": 3.186486155591397,
|
| 1369 |
+
"learning_rate": 3.271714650362233e-07,
|
| 1370 |
+
"loss": 1.0213,
|
| 1371 |
+
"step": 910
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.7846219808489353,
|
| 1375 |
+
"grad_norm": 2.5861267874594174,
|
| 1376 |
+
"learning_rate": 3.2535894618192186e-07,
|
| 1377 |
+
"loss": 0.9689,
|
| 1378 |
+
"step": 915
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.7889095326568529,
|
| 1382 |
+
"grad_norm": 3.826794117846477,
|
| 1383 |
+
"learning_rate": 3.236344800102375e-07,
|
| 1384 |
+
"loss": 0.8944,
|
| 1385 |
+
"step": 920
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.7931970844647707,
|
| 1389 |
+
"grad_norm": 2.7462154972645814,
|
| 1390 |
+
"learning_rate": 3.2199544869862547e-07,
|
| 1391 |
+
"loss": 1.0624,
|
| 1392 |
+
"step": 925
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.7974846362726883,
|
| 1396 |
+
"grad_norm": 2.8358584012860777,
|
| 1397 |
+
"learning_rate": 3.204392608959703e-07,
|
| 1398 |
+
"loss": 0.9327,
|
| 1399 |
+
"step": 930
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.801772188080606,
|
| 1403 |
+
"grad_norm": 2.101011305773841,
|
| 1404 |
+
"learning_rate": 3.1896335199583363e-07,
|
| 1405 |
+
"loss": 0.9159,
|
| 1406 |
+
"step": 935
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.8060597398885236,
|
| 1410 |
+
"grad_norm": 2.5833966453921198,
|
| 1411 |
+
"learning_rate": 3.1756518441834397e-07,
|
| 1412 |
+
"loss": 1.0248,
|
| 1413 |
+
"step": 940
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.8103472916964414,
|
| 1417 |
+
"grad_norm": 6.2684841674997775,
|
| 1418 |
+
"learning_rate": 3.151927901941027e-07,
|
| 1419 |
+
"loss": 1.0413,
|
| 1420 |
+
"step": 945
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 0.814634843504359,
|
| 1424 |
+
"grad_norm": 2.276372461235212,
|
| 1425 |
+
"learning_rate": 3.1032417503134016e-07,
|
| 1426 |
+
"loss": 1.1134,
|
| 1427 |
+
"step": 950
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.8189223953122767,
|
| 1431 |
+
"grad_norm": 2.6812797606926555,
|
| 1432 |
+
"learning_rate": 3.054555598685777e-07,
|
| 1433 |
+
"loss": 0.9336,
|
| 1434 |
+
"step": 955
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.8232099471201944,
|
| 1438 |
+
"grad_norm": 2.417389224635538,
|
| 1439 |
+
"learning_rate": 3.0058694470581514e-07,
|
| 1440 |
+
"loss": 1.068,
|
| 1441 |
+
"step": 960
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.8232099471201944,
|
| 1445 |
+
"eval_loss": 0.9022178053855896,
|
| 1446 |
+
"eval_runtime": 19.0566,
|
| 1447 |
+
"eval_samples_per_second": 10.495,
|
| 1448 |
+
"eval_steps_per_second": 2.624,
|
| 1449 |
+
"step": 960
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 0.8274974989281121,
|
| 1453 |
+
"grad_norm": 2.503558384043619,
|
| 1454 |
+
"learning_rate": 2.9571832954305265e-07,
|
| 1455 |
+
"loss": 1.0307,
|
| 1456 |
+
"step": 965
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 0.8317850507360297,
|
| 1460 |
+
"grad_norm": 2.249581998288759,
|
| 1461 |
+
"learning_rate": 2.9084971438029017e-07,
|
| 1462 |
+
"loss": 0.9962,
|
| 1463 |
+
"step": 970
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 0.8360726025439474,
|
| 1467 |
+
"grad_norm": 3.875121879524354,
|
| 1468 |
+
"learning_rate": 2.8598109921752763e-07,
|
| 1469 |
+
"loss": 1.0143,
|
| 1470 |
+
"step": 975
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 0.8403601543518651,
|
| 1474 |
+
"grad_norm": 1.730446489555693,
|
| 1475 |
+
"learning_rate": 2.8111248405476515e-07,
|
| 1476 |
+
"loss": 0.9869,
|
| 1477 |
+
"step": 980
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.8446477061597828,
|
| 1481 |
+
"grad_norm": 3.3232425457372745,
|
| 1482 |
+
"learning_rate": 2.7624386889200266e-07,
|
| 1483 |
+
"loss": 1.0683,
|
| 1484 |
+
"step": 985
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 0.8489352579677004,
|
| 1488 |
+
"grad_norm": 2.4807364391304225,
|
| 1489 |
+
"learning_rate": 2.713752537292401e-07,
|
| 1490 |
+
"loss": 0.9797,
|
| 1491 |
+
"step": 990
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 0.8532228097756182,
|
| 1495 |
+
"grad_norm": 2.3616731714440724,
|
| 1496 |
+
"learning_rate": 2.6650663856647764e-07,
|
| 1497 |
+
"loss": 1.0389,
|
| 1498 |
+
"step": 995
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 0.8575103615835358,
|
| 1502 |
+
"grad_norm": 2.6062865385957514,
|
| 1503 |
+
"learning_rate": 2.616380234037151e-07,
|
| 1504 |
+
"loss": 1.0267,
|
| 1505 |
+
"step": 1000
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 0.8617979133914535,
|
| 1509 |
+
"grad_norm": 2.907979106229624,
|
| 1510 |
+
"learning_rate": 2.567694082409526e-07,
|
| 1511 |
+
"loss": 0.9329,
|
| 1512 |
+
"step": 1005
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 0.8660854651993711,
|
| 1516 |
+
"grad_norm": 2.6968962865268407,
|
| 1517 |
+
"learning_rate": 2.5190079307819013e-07,
|
| 1518 |
+
"loss": 0.9386,
|
| 1519 |
+
"step": 1010
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.8703730170072889,
|
| 1523 |
+
"grad_norm": 2.21037904641155,
|
| 1524 |
+
"learning_rate": 2.4703217791542765e-07,
|
| 1525 |
+
"loss": 1.0709,
|
| 1526 |
+
"step": 1015
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 0.8746605688152065,
|
| 1530 |
+
"grad_norm": 2.8255592337377915,
|
| 1531 |
+
"learning_rate": 2.421635627526651e-07,
|
| 1532 |
+
"loss": 0.8629,
|
| 1533 |
+
"step": 1020
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 0.8789481206231242,
|
| 1537 |
+
"grad_norm": 2.6598508915895516,
|
| 1538 |
+
"learning_rate": 2.3729494758990262e-07,
|
| 1539 |
+
"loss": 0.9564,
|
| 1540 |
+
"step": 1025
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 0.8832356724310418,
|
| 1544 |
+
"grad_norm": 2.5349227338549043,
|
| 1545 |
+
"learning_rate": 2.3242633242714014e-07,
|
| 1546 |
+
"loss": 0.9884,
|
| 1547 |
+
"step": 1030
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 0.8875232242389596,
|
| 1551 |
+
"grad_norm": 1.8000674399648018,
|
| 1552 |
+
"learning_rate": 2.275577172643776e-07,
|
| 1553 |
+
"loss": 1.1607,
|
| 1554 |
+
"step": 1035
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 0.8918107760468772,
|
| 1558 |
+
"grad_norm": 2.0150522007599654,
|
| 1559 |
+
"learning_rate": 2.2268910210161506e-07,
|
| 1560 |
+
"loss": 1.06,
|
| 1561 |
+
"step": 1040
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 0.8918107760468772,
|
| 1565 |
+
"eval_loss": 0.9013447761535645,
|
| 1566 |
+
"eval_runtime": 19.0476,
|
| 1567 |
+
"eval_samples_per_second": 10.5,
|
| 1568 |
+
"eval_steps_per_second": 2.625,
|
| 1569 |
+
"step": 1040
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.8960983278547949,
|
| 1573 |
+
"grad_norm": 2.714964092055051,
|
| 1574 |
+
"learning_rate": 2.1782048693885258e-07,
|
| 1575 |
+
"loss": 0.8408,
|
| 1576 |
+
"step": 1045
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"epoch": 0.9003858796627126,
|
| 1580 |
+
"grad_norm": 2.328572268378804,
|
| 1581 |
+
"learning_rate": 2.129518717760901e-07,
|
| 1582 |
+
"loss": 0.9585,
|
| 1583 |
+
"step": 1050
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"epoch": 0.9046734314706303,
|
| 1587 |
+
"grad_norm": 3.3294058341520847,
|
| 1588 |
+
"learning_rate": 2.0808325661332756e-07,
|
| 1589 |
+
"loss": 1.0169,
|
| 1590 |
+
"step": 1055
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 0.9089609832785479,
|
| 1594 |
+
"grad_norm": 2.3567378214154453,
|
| 1595 |
+
"learning_rate": 2.0321464145056507e-07,
|
| 1596 |
+
"loss": 1.0411,
|
| 1597 |
+
"step": 1060
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 0.9132485350864656,
|
| 1601 |
+
"grad_norm": 2.3516481223731702,
|
| 1602 |
+
"learning_rate": 1.9834602628780256e-07,
|
| 1603 |
+
"loss": 1.0731,
|
| 1604 |
+
"step": 1065
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 0.9175360868943833,
|
| 1608 |
+
"grad_norm": 2.3183322496467484,
|
| 1609 |
+
"learning_rate": 1.934774111250401e-07,
|
| 1610 |
+
"loss": 0.9489,
|
| 1611 |
+
"step": 1070
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.921823638702301,
|
| 1615 |
+
"grad_norm": 1.97960646392379,
|
| 1616 |
+
"learning_rate": 1.8860879596227757e-07,
|
| 1617 |
+
"loss": 1.0331,
|
| 1618 |
+
"step": 1075
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 0.9261111905102186,
|
| 1622 |
+
"grad_norm": 2.3395284448987086,
|
| 1623 |
+
"learning_rate": 1.8374018079951505e-07,
|
| 1624 |
+
"loss": 0.7678,
|
| 1625 |
+
"step": 1080
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 0.9303987423181364,
|
| 1629 |
+
"grad_norm": 1.945316009597557,
|
| 1630 |
+
"learning_rate": 1.788715656367526e-07,
|
| 1631 |
+
"loss": 1.0268,
|
| 1632 |
+
"step": 1085
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 0.934686294126054,
|
| 1636 |
+
"grad_norm": 2.5392514762785603,
|
| 1637 |
+
"learning_rate": 1.7400295047399006e-07,
|
| 1638 |
+
"loss": 1.0499,
|
| 1639 |
+
"step": 1090
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 0.9389738459339717,
|
| 1643 |
+
"grad_norm": 2.147497075881358,
|
| 1644 |
+
"learning_rate": 1.6913433531122752e-07,
|
| 1645 |
+
"loss": 0.8984,
|
| 1646 |
+
"step": 1095
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 0.9432613977418893,
|
| 1650 |
+
"grad_norm": 2.3338579963123043,
|
| 1651 |
+
"learning_rate": 1.6426572014846504e-07,
|
| 1652 |
+
"loss": 1.0244,
|
| 1653 |
+
"step": 1100
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.9475489495498071,
|
| 1657 |
+
"grad_norm": 2.272071646300021,
|
| 1658 |
+
"learning_rate": 1.5939710498570255e-07,
|
| 1659 |
+
"loss": 0.8251,
|
| 1660 |
+
"step": 1105
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 0.9518365013577247,
|
| 1664 |
+
"grad_norm": 1.6609121532926487,
|
| 1665 |
+
"learning_rate": 1.5452848982294004e-07,
|
| 1666 |
+
"loss": 0.9794,
|
| 1667 |
+
"step": 1110
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 0.9561240531656424,
|
| 1671 |
+
"grad_norm": 2.2563188492644493,
|
| 1672 |
+
"learning_rate": 1.4965987466017753e-07,
|
| 1673 |
+
"loss": 0.972,
|
| 1674 |
+
"step": 1115
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 0.9604116049735602,
|
| 1678 |
+
"grad_norm": 2.667525192015302,
|
| 1679 |
+
"learning_rate": 1.4479125949741505e-07,
|
| 1680 |
+
"loss": 0.8302,
|
| 1681 |
+
"step": 1120
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 0.9604116049735602,
|
| 1685 |
+
"eval_loss": 0.9002277851104736,
|
| 1686 |
+
"eval_runtime": 19.0592,
|
| 1687 |
+
"eval_samples_per_second": 10.494,
|
| 1688 |
+
"eval_steps_per_second": 2.623,
|
| 1689 |
+
"step": 1120
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.9646991567814778,
|
| 1693 |
+
"grad_norm": 1.8891294277340498,
|
| 1694 |
+
"learning_rate": 1.3992264433465253e-07,
|
| 1695 |
+
"loss": 0.8849,
|
| 1696 |
+
"step": 1125
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.9689867085893955,
|
| 1700 |
+
"grad_norm": 2.5578344667960127,
|
| 1701 |
+
"learning_rate": 1.3505402917189002e-07,
|
| 1702 |
+
"loss": 0.9591,
|
| 1703 |
+
"step": 1130
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.9732742603973131,
|
| 1707 |
+
"grad_norm": 2.001959937555614,
|
| 1708 |
+
"learning_rate": 1.301854140091275e-07,
|
| 1709 |
+
"loss": 1.0343,
|
| 1710 |
+
"step": 1135
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.9775618122052309,
|
| 1714 |
+
"grad_norm": 1.578569313456066,
|
| 1715 |
+
"learning_rate": 1.2531679884636503e-07,
|
| 1716 |
+
"loss": 1.0543,
|
| 1717 |
+
"step": 1140
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.9818493640131485,
|
| 1721 |
+
"grad_norm": 2.0720069005801953,
|
| 1722 |
+
"learning_rate": 1.2044818368360252e-07,
|
| 1723 |
+
"loss": 0.8641,
|
| 1724 |
+
"step": 1145
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.9861369158210662,
|
| 1728 |
+
"grad_norm": 1.8810386084158826,
|
| 1729 |
+
"learning_rate": 1.1557956852084e-07,
|
| 1730 |
+
"loss": 1.0326,
|
| 1731 |
+
"step": 1150
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.9904244676289838,
|
| 1735 |
+
"grad_norm": 2.0266012589600613,
|
| 1736 |
+
"learning_rate": 1.1071095335807752e-07,
|
| 1737 |
+
"loss": 1.0289,
|
| 1738 |
+
"step": 1155
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.9947120194369016,
|
| 1742 |
+
"grad_norm": 2.2518373465247357,
|
| 1743 |
+
"learning_rate": 1.0584233819531501e-07,
|
| 1744 |
+
"loss": 0.939,
|
| 1745 |
+
"step": 1160
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.9989995712448192,
|
| 1749 |
+
"grad_norm": 2.7326466173600337,
|
| 1750 |
+
"learning_rate": 1.009737230325525e-07,
|
| 1751 |
+
"loss": 1.0486,
|
| 1752 |
+
"step": 1165
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.9998570816064027,
|
| 1756 |
+
"step": 1166,
|
| 1757 |
+
"total_flos": 1.7681949461682586e+17,
|
| 1758 |
+
"train_loss": 0.944941889564946,
|
| 1759 |
+
"train_runtime": 15099.9882,
|
| 1760 |
+
"train_samples_per_second": 2.78,
|
| 1761 |
+
"train_steps_per_second": 0.077
|
| 1762 |
+
}
|
| 1763 |
+
],
|
| 1764 |
+
"logging_steps": 5,
|
| 1765 |
+
"max_steps": 1166,
|
| 1766 |
+
"num_input_tokens_seen": 0,
|
| 1767 |
+
"num_train_epochs": 1,
|
| 1768 |
+
"save_steps": 1166,
|
| 1769 |
+
"stateful_callbacks": {
|
| 1770 |
+
"TrainerControl": {
|
| 1771 |
+
"args": {
|
| 1772 |
+
"should_epoch_stop": false,
|
| 1773 |
+
"should_evaluate": false,
|
| 1774 |
+
"should_log": false,
|
| 1775 |
+
"should_save": true,
|
| 1776 |
+
"should_training_stop": true
|
| 1777 |
+
},
|
| 1778 |
+
"attributes": {}
|
| 1779 |
+
}
|
| 1780 |
+
},
|
| 1781 |
+
"total_flos": 1.7681949461682586e+17,
|
| 1782 |
+
"train_batch_size": 3,
|
| 1783 |
+
"trial_name": null,
|
| 1784 |
+
"trial_params": null
|
| 1785 |
+
}
|