End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1344 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: CuratedThoughts-OpenR1-Math-220k-default
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# CuratedThoughts-OpenR1-Math-220k-default
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: CuratedThoughts-OpenR1-Math-220k-default
|
|
|
|
| 16 |
|
| 17 |
# CuratedThoughts-OpenR1-Math-220k-default
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the bethgelab/CuratedThoughts dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.984,
|
| 3 |
+
"total_flos": 4.786332995139142e+18,
|
| 4 |
+
"train_loss": 0.42651380758772617,
|
| 5 |
+
"train_runtime": 40803.7285,
|
| 6 |
+
"train_samples_per_second": 2.352,
|
| 7 |
+
"train_steps_per_second": 0.005
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.984,
|
| 3 |
+
"total_flos": 4.786332995139142e+18,
|
| 4 |
+
"train_loss": 0.42651380758772617,
|
| 5 |
+
"train_runtime": 40803.7285,
|
| 6 |
+
"train_samples_per_second": 2.352,
|
| 7 |
+
"train_steps_per_second": 0.005
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1344 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.984,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 186,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.016,
|
| 13 |
+
"grad_norm": 5.864202829388014,
|
| 14 |
+
"learning_rate": 4.210526315789474e-06,
|
| 15 |
+
"loss": 0.7913,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.032,
|
| 20 |
+
"grad_norm": 5.872648147144048,
|
| 21 |
+
"learning_rate": 8.421052631578948e-06,
|
| 22 |
+
"loss": 0.7915,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.048,
|
| 27 |
+
"grad_norm": 4.448830758701059,
|
| 28 |
+
"learning_rate": 1.263157894736842e-05,
|
| 29 |
+
"loss": 0.7505,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.064,
|
| 34 |
+
"grad_norm": 2.157234346723898,
|
| 35 |
+
"learning_rate": 1.6842105263157896e-05,
|
| 36 |
+
"loss": 0.6908,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.08,
|
| 41 |
+
"grad_norm": 5.8390869826392064,
|
| 42 |
+
"learning_rate": 2.105263157894737e-05,
|
| 43 |
+
"loss": 0.7192,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.096,
|
| 48 |
+
"grad_norm": 10.449669701716074,
|
| 49 |
+
"learning_rate": 2.526315789473684e-05,
|
| 50 |
+
"loss": 0.7618,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.112,
|
| 55 |
+
"grad_norm": 7.154448692780618,
|
| 56 |
+
"learning_rate": 2.9473684210526317e-05,
|
| 57 |
+
"loss": 0.7162,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.128,
|
| 62 |
+
"grad_norm": 4.552028823354591,
|
| 63 |
+
"learning_rate": 3.368421052631579e-05,
|
| 64 |
+
"loss": 0.6638,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.144,
|
| 69 |
+
"grad_norm": 2.957730965082692,
|
| 70 |
+
"learning_rate": 3.789473684210526e-05,
|
| 71 |
+
"loss": 0.6244,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.16,
|
| 76 |
+
"grad_norm": 2.1615064746513872,
|
| 77 |
+
"learning_rate": 4.210526315789474e-05,
|
| 78 |
+
"loss": 0.6009,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.176,
|
| 83 |
+
"grad_norm": 1.6417146425469031,
|
| 84 |
+
"learning_rate": 4.6315789473684214e-05,
|
| 85 |
+
"loss": 0.5816,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.192,
|
| 90 |
+
"grad_norm": 10.412899659562997,
|
| 91 |
+
"learning_rate": 5.052631578947368e-05,
|
| 92 |
+
"loss": 0.6001,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.208,
|
| 97 |
+
"grad_norm": 2.614556696999853,
|
| 98 |
+
"learning_rate": 5.4736842105263165e-05,
|
| 99 |
+
"loss": 0.5923,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.224,
|
| 104 |
+
"grad_norm": 2.5343953646048223,
|
| 105 |
+
"learning_rate": 5.8947368421052634e-05,
|
| 106 |
+
"loss": 0.5706,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.24,
|
| 111 |
+
"grad_norm": 1.7460829243404183,
|
| 112 |
+
"learning_rate": 6.315789473684212e-05,
|
| 113 |
+
"loss": 0.5565,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.256,
|
| 118 |
+
"grad_norm": 10.716457870383207,
|
| 119 |
+
"learning_rate": 6.736842105263159e-05,
|
| 120 |
+
"loss": 0.5475,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.272,
|
| 125 |
+
"grad_norm": 3.630113840118509,
|
| 126 |
+
"learning_rate": 7.157894736842105e-05,
|
| 127 |
+
"loss": 0.6018,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.288,
|
| 132 |
+
"grad_norm": 1.658431334016499,
|
| 133 |
+
"learning_rate": 7.578947368421052e-05,
|
| 134 |
+
"loss": 0.5425,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.304,
|
| 139 |
+
"grad_norm": 2.6385079779437928,
|
| 140 |
+
"learning_rate": 8e-05,
|
| 141 |
+
"loss": 0.554,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.32,
|
| 146 |
+
"grad_norm": 2.4726162725880063,
|
| 147 |
+
"learning_rate": 7.999292243297167e-05,
|
| 148 |
+
"loss": 0.5573,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.336,
|
| 153 |
+
"grad_norm": 1.3862293955306393,
|
| 154 |
+
"learning_rate": 7.997169223648443e-05,
|
| 155 |
+
"loss": 0.5248,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.352,
|
| 160 |
+
"grad_norm": 2.1185258579948756,
|
| 161 |
+
"learning_rate": 7.993631692344518e-05,
|
| 162 |
+
"loss": 0.5208,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.368,
|
| 167 |
+
"grad_norm": 1.379815852064984,
|
| 168 |
+
"learning_rate": 7.988680901241142e-05,
|
| 169 |
+
"loss": 0.5215,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.384,
|
| 174 |
+
"grad_norm": 1.0692164193091471,
|
| 175 |
+
"learning_rate": 7.982318602316107e-05,
|
| 176 |
+
"loss": 0.5076,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.4,
|
| 181 |
+
"grad_norm": 1.363683637565687,
|
| 182 |
+
"learning_rate": 7.974547047049269e-05,
|
| 183 |
+
"loss": 0.5094,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.416,
|
| 188 |
+
"grad_norm": 1.166001995295674,
|
| 189 |
+
"learning_rate": 7.965368985625792e-05,
|
| 190 |
+
"loss": 0.5012,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.432,
|
| 195 |
+
"grad_norm": 1.0753197080774943,
|
| 196 |
+
"learning_rate": 7.954787665962922e-05,
|
| 197 |
+
"loss": 0.5007,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.448,
|
| 202 |
+
"grad_norm": 1.4284904204862443,
|
| 203 |
+
"learning_rate": 7.94280683256062e-05,
|
| 204 |
+
"loss": 0.4822,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.464,
|
| 209 |
+
"grad_norm": 1.1277979040005555,
|
| 210 |
+
"learning_rate": 7.929430725176456e-05,
|
| 211 |
+
"loss": 0.4889,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.48,
|
| 216 |
+
"grad_norm": 1.0432850580644155,
|
| 217 |
+
"learning_rate": 7.91466407732526e-05,
|
| 218 |
+
"loss": 0.4762,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.496,
|
| 223 |
+
"grad_norm": 1.1070887307945323,
|
| 224 |
+
"learning_rate": 7.898512114604028e-05,
|
| 225 |
+
"loss": 0.4726,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.512,
|
| 230 |
+
"grad_norm": 2.030373295391588,
|
| 231 |
+
"learning_rate": 7.880980552842705e-05,
|
| 232 |
+
"loss": 0.4785,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.528,
|
| 237 |
+
"grad_norm": 0.7829256797346418,
|
| 238 |
+
"learning_rate": 7.862075596081459e-05,
|
| 239 |
+
"loss": 0.4755,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.544,
|
| 244 |
+
"grad_norm": 2.014060782852139,
|
| 245 |
+
"learning_rate": 7.841803934375226e-05,
|
| 246 |
+
"loss": 0.473,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.56,
|
| 251 |
+
"grad_norm": 1.078945846658623,
|
| 252 |
+
"learning_rate": 7.820172741426231e-05,
|
| 253 |
+
"loss": 0.4751,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.576,
|
| 258 |
+
"grad_norm": 1.8168080297827258,
|
| 259 |
+
"learning_rate": 7.79718967204537e-05,
|
| 260 |
+
"loss": 0.4702,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.592,
|
| 265 |
+
"grad_norm": 1.4755432053603468,
|
| 266 |
+
"learning_rate": 7.772862859443352e-05,
|
| 267 |
+
"loss": 0.4747,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.608,
|
| 272 |
+
"grad_norm": 1.2588926553170865,
|
| 273 |
+
"learning_rate": 7.747200912352512e-05,
|
| 274 |
+
"loss": 0.4649,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.624,
|
| 279 |
+
"grad_norm": 1.1548094943568747,
|
| 280 |
+
"learning_rate": 7.72021291198038e-05,
|
| 281 |
+
"loss": 0.4545,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.64,
|
| 286 |
+
"grad_norm": 0.9865958679876434,
|
| 287 |
+
"learning_rate": 7.691908408796038e-05,
|
| 288 |
+
"loss": 0.4614,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.656,
|
| 293 |
+
"grad_norm": 1.2434531732087855,
|
| 294 |
+
"learning_rate": 7.66229741915041e-05,
|
| 295 |
+
"loss": 0.4573,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.672,
|
| 300 |
+
"grad_norm": 1.0543164731703125,
|
| 301 |
+
"learning_rate": 7.631390421731695e-05,
|
| 302 |
+
"loss": 0.4548,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.688,
|
| 307 |
+
"grad_norm": 1.5040641587819343,
|
| 308 |
+
"learning_rate": 7.599198353857187e-05,
|
| 309 |
+
"loss": 0.4531,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.704,
|
| 314 |
+
"grad_norm": 0.8330593510457461,
|
| 315 |
+
"learning_rate": 7.565732607602794e-05,
|
| 316 |
+
"loss": 0.4525,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.72,
|
| 321 |
+
"grad_norm": 1.747249068381139,
|
| 322 |
+
"learning_rate": 7.53100502577163e-05,
|
| 323 |
+
"loss": 0.4613,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.736,
|
| 328 |
+
"grad_norm": 1.0849239550821672,
|
| 329 |
+
"learning_rate": 7.495027897703102e-05,
|
| 330 |
+
"loss": 0.4476,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.752,
|
| 335 |
+
"grad_norm": 2.2810114466095355,
|
| 336 |
+
"learning_rate": 7.457813954923979e-05,
|
| 337 |
+
"loss": 0.456,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.768,
|
| 342 |
+
"grad_norm": 2.1542133598504853,
|
| 343 |
+
"learning_rate": 7.419376366642982e-05,
|
| 344 |
+
"loss": 0.4602,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.784,
|
| 349 |
+
"grad_norm": 1.2484775835760495,
|
| 350 |
+
"learning_rate": 7.379728735090483e-05,
|
| 351 |
+
"loss": 0.4489,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.8,
|
| 356 |
+
"grad_norm": 1.3318281738925397,
|
| 357 |
+
"learning_rate": 7.338885090704975e-05,
|
| 358 |
+
"loss": 0.4426,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.816,
|
| 363 |
+
"grad_norm": 0.9892797570742369,
|
| 364 |
+
"learning_rate": 7.296859887167997e-05,
|
| 365 |
+
"loss": 0.4452,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.832,
|
| 370 |
+
"grad_norm": 1.0679050135993293,
|
| 371 |
+
"learning_rate": 7.253667996289298e-05,
|
| 372 |
+
"loss": 0.4458,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.848,
|
| 377 |
+
"grad_norm": 0.8781093256497718,
|
| 378 |
+
"learning_rate": 7.209324702744015e-05,
|
| 379 |
+
"loss": 0.4396,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.864,
|
| 384 |
+
"grad_norm": 0.7875697278327576,
|
| 385 |
+
"learning_rate": 7.163845698663763e-05,
|
| 386 |
+
"loss": 0.4287,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.88,
|
| 391 |
+
"grad_norm": 0.6302650996963544,
|
| 392 |
+
"learning_rate": 7.117247078083531e-05,
|
| 393 |
+
"loss": 0.4327,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.896,
|
| 398 |
+
"grad_norm": 0.7388582241554006,
|
| 399 |
+
"learning_rate": 7.069545331246348e-05,
|
| 400 |
+
"loss": 0.4245,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.912,
|
| 405 |
+
"grad_norm": 0.5712302618683613,
|
| 406 |
+
"learning_rate": 7.020757338767745e-05,
|
| 407 |
+
"loss": 0.429,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.928,
|
| 412 |
+
"grad_norm": 0.5166798385795193,
|
| 413 |
+
"learning_rate": 6.970900365662068e-05,
|
| 414 |
+
"loss": 0.4274,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.944,
|
| 419 |
+
"grad_norm": 0.6460391947769224,
|
| 420 |
+
"learning_rate": 6.919992055232768e-05,
|
| 421 |
+
"loss": 0.4349,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.96,
|
| 426 |
+
"grad_norm": 0.79433873003954,
|
| 427 |
+
"learning_rate": 6.868050422828812e-05,
|
| 428 |
+
"loss": 0.4277,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.976,
|
| 433 |
+
"grad_norm": 0.6213339825027192,
|
| 434 |
+
"learning_rate": 6.815093849469446e-05,
|
| 435 |
+
"loss": 0.4296,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.992,
|
| 440 |
+
"grad_norm": 0.743688598894428,
|
| 441 |
+
"learning_rate": 6.761141075339546e-05,
|
| 442 |
+
"loss": 0.4256,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.012,
|
| 447 |
+
"grad_norm": 1.4189759219760636,
|
| 448 |
+
"learning_rate": 6.706211193157875e-05,
|
| 449 |
+
"loss": 0.7285,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.028,
|
| 454 |
+
"grad_norm": 1.7305791668754007,
|
| 455 |
+
"learning_rate": 6.650323641420585e-05,
|
| 456 |
+
"loss": 0.4151,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.044,
|
| 461 |
+
"grad_norm": 0.5488342270834748,
|
| 462 |
+
"learning_rate": 6.593498197522348e-05,
|
| 463 |
+
"loss": 0.4082,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.06,
|
| 468 |
+
"grad_norm": 1.407405101124588,
|
| 469 |
+
"learning_rate": 6.535754970757567e-05,
|
| 470 |
+
"loss": 0.4055,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.076,
|
| 475 |
+
"grad_norm": 1.1715312695903517,
|
| 476 |
+
"learning_rate": 6.477114395204142e-05,
|
| 477 |
+
"loss": 0.4079,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 1.092,
|
| 482 |
+
"grad_norm": 0.7475361072820644,
|
| 483 |
+
"learning_rate": 6.417597222492268e-05,
|
| 484 |
+
"loss": 0.4013,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.108,
|
| 489 |
+
"grad_norm": 0.8282992327933414,
|
| 490 |
+
"learning_rate": 6.35722451446091e-05,
|
| 491 |
+
"loss": 0.4065,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 1.124,
|
| 496 |
+
"grad_norm": 1.330922993760041,
|
| 497 |
+
"learning_rate": 6.296017635704455e-05,
|
| 498 |
+
"loss": 0.3964,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 1.1400000000000001,
|
| 503 |
+
"grad_norm": 0.6478437984552811,
|
| 504 |
+
"learning_rate": 6.233998246012253e-05,
|
| 505 |
+
"loss": 0.4053,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 1.156,
|
| 510 |
+
"grad_norm": 0.7988653435688005,
|
| 511 |
+
"learning_rate": 6.171188292703685e-05,
|
| 512 |
+
"loss": 0.3926,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 1.172,
|
| 517 |
+
"grad_norm": 1.0972598731114915,
|
| 518 |
+
"learning_rate": 6.10761000286148e-05,
|
| 519 |
+
"loss": 0.3957,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.188,
|
| 524 |
+
"grad_norm": 0.862697446731696,
|
| 525 |
+
"learning_rate": 6.043285875466032e-05,
|
| 526 |
+
"loss": 0.401,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.204,
|
| 531 |
+
"grad_norm": 0.5416451681744806,
|
| 532 |
+
"learning_rate": 5.978238673433502e-05,
|
| 533 |
+
"loss": 0.4009,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 1.22,
|
| 538 |
+
"grad_norm": 0.7072795192209076,
|
| 539 |
+
"learning_rate": 5.912491415560507e-05,
|
| 540 |
+
"loss": 0.3976,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 1.236,
|
| 545 |
+
"grad_norm": 0.8609532314533869,
|
| 546 |
+
"learning_rate": 5.8460673683782756e-05,
|
| 547 |
+
"loss": 0.3983,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.252,
|
| 552 |
+
"grad_norm": 0.7434541182762888,
|
| 553 |
+
"learning_rate": 5.7789900379191186e-05,
|
| 554 |
+
"loss": 0.3989,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.268,
|
| 559 |
+
"grad_norm": 0.4898816861440509,
|
| 560 |
+
"learning_rate": 5.7112831613981554e-05,
|
| 561 |
+
"loss": 0.3995,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 1.284,
|
| 566 |
+
"grad_norm": 0.6047589566419349,
|
| 567 |
+
"learning_rate": 5.64297069881323e-05,
|
| 568 |
+
"loss": 0.3968,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.3,
|
| 573 |
+
"grad_norm": 0.5063824542389925,
|
| 574 |
+
"learning_rate": 5.574076824465983e-05,
|
| 575 |
+
"loss": 0.3963,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.316,
|
| 580 |
+
"grad_norm": 0.4743504375272986,
|
| 581 |
+
"learning_rate": 5.5046259184070894e-05,
|
| 582 |
+
"loss": 0.3985,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 1.332,
|
| 587 |
+
"grad_norm": 0.37959186577275045,
|
| 588 |
+
"learning_rate": 5.4346425578086915e-05,
|
| 589 |
+
"loss": 0.3893,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 1.3479999999999999,
|
| 594 |
+
"grad_norm": 0.36257857231635615,
|
| 595 |
+
"learning_rate": 5.364151508267064e-05,
|
| 596 |
+
"loss": 0.3927,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 1.3639999999999999,
|
| 601 |
+
"grad_norm": 0.49654142820117314,
|
| 602 |
+
"learning_rate": 5.293177715038608e-05,
|
| 603 |
+
"loss": 0.3913,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 1.38,
|
| 608 |
+
"grad_norm": 0.38761620057730195,
|
| 609 |
+
"learning_rate": 5.2217462942122664e-05,
|
| 610 |
+
"loss": 0.3893,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.396,
|
| 615 |
+
"grad_norm": 0.39789159963838117,
|
| 616 |
+
"learning_rate": 5.1498825238214786e-05,
|
| 617 |
+
"loss": 0.3903,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 1.412,
|
| 622 |
+
"grad_norm": 0.4117452965109853,
|
| 623 |
+
"learning_rate": 5.077611834898839e-05,
|
| 624 |
+
"loss": 0.3974,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 1.428,
|
| 629 |
+
"grad_norm": 0.4695252822255102,
|
| 630 |
+
"learning_rate": 5.004959802476596e-05,
|
| 631 |
+
"loss": 0.3912,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.444,
|
| 636 |
+
"grad_norm": 0.37317710408872046,
|
| 637 |
+
"learning_rate": 4.931952136536213e-05,
|
| 638 |
+
"loss": 0.3898,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 1.46,
|
| 643 |
+
"grad_norm": 0.3897759717249992,
|
| 644 |
+
"learning_rate": 4.858614672910155e-05,
|
| 645 |
+
"loss": 0.3902,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 1.476,
|
| 650 |
+
"grad_norm": 0.32177578059016193,
|
| 651 |
+
"learning_rate": 4.784973364139144e-05,
|
| 652 |
+
"loss": 0.389,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 1.492,
|
| 657 |
+
"grad_norm": 0.3153711132788146,
|
| 658 |
+
"learning_rate": 4.711054270288125e-05,
|
| 659 |
+
"loss": 0.3923,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.508,
|
| 664 |
+
"grad_norm": 0.3481604699048208,
|
| 665 |
+
"learning_rate": 4.6368835497241704e-05,
|
| 666 |
+
"loss": 0.3915,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 1.524,
|
| 671 |
+
"grad_norm": 0.2840999008054265,
|
| 672 |
+
"learning_rate": 4.562487449859594e-05,
|
| 673 |
+
"loss": 0.3868,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.54,
|
| 678 |
+
"grad_norm": 0.23128563796625934,
|
| 679 |
+
"learning_rate": 4.4878922978635686e-05,
|
| 680 |
+
"loss": 0.3901,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.556,
|
| 685 |
+
"grad_norm": 0.31644599189945527,
|
| 686 |
+
"learning_rate": 4.4131244913455064e-05,
|
| 687 |
+
"loss": 0.3918,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 1.572,
|
| 692 |
+
"grad_norm": 0.27458323292125525,
|
| 693 |
+
"learning_rate": 4.3382104890135164e-05,
|
| 694 |
+
"loss": 0.3857,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 1.588,
|
| 699 |
+
"grad_norm": 0.2671626515653335,
|
| 700 |
+
"learning_rate": 4.263176801311243e-05,
|
| 701 |
+
"loss": 0.3872,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 1.604,
|
| 706 |
+
"grad_norm": 0.2634055661736952,
|
| 707 |
+
"learning_rate": 4.1880499810363906e-05,
|
| 708 |
+
"loss": 0.386,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 1.62,
|
| 713 |
+
"grad_norm": 0.31168502886080895,
|
| 714 |
+
"learning_rate": 4.112856613944265e-05,
|
| 715 |
+
"loss": 0.3858,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 1.6360000000000001,
|
| 720 |
+
"grad_norm": 0.28772714634529506,
|
| 721 |
+
"learning_rate": 4.03762330933965e-05,
|
| 722 |
+
"loss": 0.3867,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 1.6520000000000001,
|
| 727 |
+
"grad_norm": 0.22254705016216964,
|
| 728 |
+
"learning_rate": 3.962376690660352e-05,
|
| 729 |
+
"loss": 0.3818,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 1.6680000000000001,
|
| 734 |
+
"grad_norm": 0.2510682576803876,
|
| 735 |
+
"learning_rate": 3.8871433860557365e-05,
|
| 736 |
+
"loss": 0.3856,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 1.6840000000000002,
|
| 741 |
+
"grad_norm": 0.31237598815995105,
|
| 742 |
+
"learning_rate": 3.811950018963611e-05,
|
| 743 |
+
"loss": 0.389,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 1.7,
|
| 748 |
+
"grad_norm": 0.23942776865557513,
|
| 749 |
+
"learning_rate": 3.736823198688758e-05,
|
| 750 |
+
"loss": 0.3876,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 1.716,
|
| 755 |
+
"grad_norm": 0.27005716759409326,
|
| 756 |
+
"learning_rate": 3.6617895109864836e-05,
|
| 757 |
+
"loss": 0.3849,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 1.732,
|
| 762 |
+
"grad_norm": 0.3015434191544345,
|
| 763 |
+
"learning_rate": 3.586875508654495e-05,
|
| 764 |
+
"loss": 0.3881,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 1.748,
|
| 769 |
+
"grad_norm": 0.19166539999174675,
|
| 770 |
+
"learning_rate": 3.512107702136432e-05,
|
| 771 |
+
"loss": 0.3882,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 1.764,
|
| 776 |
+
"grad_norm": 0.21230418165639647,
|
| 777 |
+
"learning_rate": 3.437512550140408e-05,
|
| 778 |
+
"loss": 0.3796,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 1.78,
|
| 783 |
+
"grad_norm": 0.25002720097786907,
|
| 784 |
+
"learning_rate": 3.363116450275831e-05,
|
| 785 |
+
"loss": 0.3807,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 1.796,
|
| 790 |
+
"grad_norm": 0.20135016309524,
|
| 791 |
+
"learning_rate": 3.2889457297118754e-05,
|
| 792 |
+
"loss": 0.3898,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 1.812,
|
| 797 |
+
"grad_norm": 0.18671037288899267,
|
| 798 |
+
"learning_rate": 3.2150266358608566e-05,
|
| 799 |
+
"loss": 0.3829,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 1.8279999999999998,
|
| 804 |
+
"grad_norm": 0.20612969013889648,
|
| 805 |
+
"learning_rate": 3.1413853270898456e-05,
|
| 806 |
+
"loss": 0.3831,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 1.8439999999999999,
|
| 811 |
+
"grad_norm": 0.1695900113836421,
|
| 812 |
+
"learning_rate": 3.0680478634637876e-05,
|
| 813 |
+
"loss": 0.3797,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 1.8599999999999999,
|
| 818 |
+
"grad_norm": 0.16849043151908083,
|
| 819 |
+
"learning_rate": 2.9950401975234053e-05,
|
| 820 |
+
"loss": 0.3784,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 1.876,
|
| 825 |
+
"grad_norm": 0.16791616048036132,
|
| 826 |
+
"learning_rate": 2.922388165101164e-05,
|
| 827 |
+
"loss": 0.38,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 1.892,
|
| 832 |
+
"grad_norm": 0.1867473422097629,
|
| 833 |
+
"learning_rate": 2.8501174761785227e-05,
|
| 834 |
+
"loss": 0.383,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 1.908,
|
| 839 |
+
"grad_norm": 0.16677580216318222,
|
| 840 |
+
"learning_rate": 2.7782537057877353e-05,
|
| 841 |
+
"loss": 0.3803,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 1.924,
|
| 846 |
+
"grad_norm": 0.1905216502882764,
|
| 847 |
+
"learning_rate": 2.7068222849613924e-05,
|
| 848 |
+
"loss": 0.3828,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 1.94,
|
| 853 |
+
"grad_norm": 0.16487804894112876,
|
| 854 |
+
"learning_rate": 2.635848491732936e-05,
|
| 855 |
+
"loss": 0.3807,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 1.956,
|
| 860 |
+
"grad_norm": 0.22163492772363522,
|
| 861 |
+
"learning_rate": 2.56535744219131e-05,
|
| 862 |
+
"loss": 0.3762,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 1.972,
|
| 867 |
+
"grad_norm": 0.16836461157466331,
|
| 868 |
+
"learning_rate": 2.4953740815929112e-05,
|
| 869 |
+
"loss": 0.3779,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 1.988,
|
| 874 |
+
"grad_norm": 0.22449736267068884,
|
| 875 |
+
"learning_rate": 2.4259231755340185e-05,
|
| 876 |
+
"loss": 0.3772,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 2.008,
|
| 881 |
+
"grad_norm": 0.29425089250674447,
|
| 882 |
+
"learning_rate": 2.3570293011867705e-05,
|
| 883 |
+
"loss": 0.6469,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.024,
|
| 888 |
+
"grad_norm": 0.20003275394226644,
|
| 889 |
+
"learning_rate": 2.2887168386018446e-05,
|
| 890 |
+
"loss": 0.3551,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.04,
|
| 895 |
+
"grad_norm": 0.19001926769088684,
|
| 896 |
+
"learning_rate": 2.221009962080883e-05,
|
| 897 |
+
"loss": 0.3608,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 2.056,
|
| 902 |
+
"grad_norm": 0.18422402408869987,
|
| 903 |
+
"learning_rate": 2.153932631621725e-05,
|
| 904 |
+
"loss": 0.3618,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 2.072,
|
| 909 |
+
"grad_norm": 0.1729886118160922,
|
| 910 |
+
"learning_rate": 2.0875085844394933e-05,
|
| 911 |
+
"loss": 0.36,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 2.088,
|
| 916 |
+
"grad_norm": 0.1851607233564855,
|
| 917 |
+
"learning_rate": 2.021761326566499e-05,
|
| 918 |
+
"loss": 0.366,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 2.104,
|
| 923 |
+
"grad_norm": 0.19992169897269865,
|
| 924 |
+
"learning_rate": 1.9567141245339695e-05,
|
| 925 |
+
"loss": 0.3577,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 2.12,
|
| 930 |
+
"grad_norm": 0.16441974122210465,
|
| 931 |
+
"learning_rate": 1.8923899971385215e-05,
|
| 932 |
+
"loss": 0.3628,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 2.136,
|
| 937 |
+
"grad_norm": 0.16834557329643168,
|
| 938 |
+
"learning_rate": 1.828811707296315e-05,
|
| 939 |
+
"loss": 0.3596,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 2.152,
|
| 944 |
+
"grad_norm": 0.1662004780531857,
|
| 945 |
+
"learning_rate": 1.766001753987748e-05,
|
| 946 |
+
"loss": 0.3576,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 2.168,
|
| 951 |
+
"grad_norm": 0.16194237818485746,
|
| 952 |
+
"learning_rate": 1.7039823642955458e-05,
|
| 953 |
+
"loss": 0.3625,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 2.184,
|
| 958 |
+
"grad_norm": 0.15877853767585423,
|
| 959 |
+
"learning_rate": 1.642775485539092e-05,
|
| 960 |
+
"loss": 0.3579,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 2.2,
|
| 965 |
+
"grad_norm": 0.17226140130729017,
|
| 966 |
+
"learning_rate": 1.5824027775077322e-05,
|
| 967 |
+
"loss": 0.3584,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 2.216,
|
| 972 |
+
"grad_norm": 0.1824547271309309,
|
| 973 |
+
"learning_rate": 1.5228856047958603e-05,
|
| 974 |
+
"loss": 0.359,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.232,
|
| 979 |
+
"grad_norm": 0.14742431009044868,
|
| 980 |
+
"learning_rate": 1.4642450292424326e-05,
|
| 981 |
+
"loss": 0.3659,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 2.248,
|
| 986 |
+
"grad_norm": 0.18857304621628812,
|
| 987 |
+
"learning_rate": 1.4065018024776533e-05,
|
| 988 |
+
"loss": 0.3572,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 2.2640000000000002,
|
| 993 |
+
"grad_norm": 0.16549233991248866,
|
| 994 |
+
"learning_rate": 1.3496763585794166e-05,
|
| 995 |
+
"loss": 0.365,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 2.2800000000000002,
|
| 1000 |
+
"grad_norm": 0.14586726135391748,
|
| 1001 |
+
"learning_rate": 1.2937888068421254e-05,
|
| 1002 |
+
"loss": 0.3513,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 2.296,
|
| 1007 |
+
"grad_norm": 0.17868762335531224,
|
| 1008 |
+
"learning_rate": 1.238858924660456e-05,
|
| 1009 |
+
"loss": 0.3515,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 2.312,
|
| 1014 |
+
"grad_norm": 0.1231709928263777,
|
| 1015 |
+
"learning_rate": 1.184906150530555e-05,
|
| 1016 |
+
"loss": 0.3576,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 2.328,
|
| 1021 |
+
"grad_norm": 0.11583163070452697,
|
| 1022 |
+
"learning_rate": 1.1319495771711884e-05,
|
| 1023 |
+
"loss": 0.3611,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 2.344,
|
| 1028 |
+
"grad_norm": 0.16102203297114398,
|
| 1029 |
+
"learning_rate": 1.0800079447672318e-05,
|
| 1030 |
+
"loss": 0.3584,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 2.36,
|
| 1035 |
+
"grad_norm": 0.12131478717359077,
|
| 1036 |
+
"learning_rate": 1.0290996343379316e-05,
|
| 1037 |
+
"loss": 0.3596,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 2.376,
|
| 1042 |
+
"grad_norm": 0.11478795957786868,
|
| 1043 |
+
"learning_rate": 9.79242661232256e-06,
|
| 1044 |
+
"loss": 0.3631,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 2.392,
|
| 1049 |
+
"grad_norm": 0.13320908433173181,
|
| 1050 |
+
"learning_rate": 9.304546687536523e-06,
|
| 1051 |
+
"loss": 0.3597,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 2.408,
|
| 1056 |
+
"grad_norm": 0.12093270155957273,
|
| 1057 |
+
"learning_rate": 8.827529219164704e-06,
|
| 1058 |
+
"loss": 0.3593,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 2.424,
|
| 1063 |
+
"grad_norm": 0.1041619528441601,
|
| 1064 |
+
"learning_rate": 8.361543013362384e-06,
|
| 1065 |
+
"loss": 0.3578,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 2.44,
|
| 1070 |
+
"grad_norm": 0.12990258536636803,
|
| 1071 |
+
"learning_rate": 7.90675297255986e-06,
|
| 1072 |
+
"loss": 0.3564,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 2.456,
|
| 1077 |
+
"grad_norm": 0.13418689782006024,
|
| 1078 |
+
"learning_rate": 7.463320037107018e-06,
|
| 1079 |
+
"loss": 0.3555,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 2.472,
|
| 1084 |
+
"grad_norm": 0.1033047329894609,
|
| 1085 |
+
"learning_rate": 7.031401128320019e-06,
|
| 1086 |
+
"loss": 0.3618,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 2.488,
|
| 1091 |
+
"grad_norm": 0.11229925264342833,
|
| 1092 |
+
"learning_rate": 6.61114909295026e-06,
|
| 1093 |
+
"loss": 0.3623,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 2.504,
|
| 1098 |
+
"grad_norm": 0.11335812258557738,
|
| 1099 |
+
"learning_rate": 6.202712649095177e-06,
|
| 1100 |
+
"loss": 0.3576,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 2.52,
|
| 1105 |
+
"grad_norm": 0.10858403644770878,
|
| 1106 |
+
"learning_rate": 5.806236333570203e-06,
|
| 1107 |
+
"loss": 0.3618,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 2.536,
|
| 1112 |
+
"grad_norm": 0.09670915625383128,
|
| 1113 |
+
"learning_rate": 5.421860450760226e-06,
|
| 1114 |
+
"loss": 0.3573,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 2.552,
|
| 1119 |
+
"grad_norm": 0.09519799807892575,
|
| 1120 |
+
"learning_rate": 5.04972102296899e-06,
|
| 1121 |
+
"loss": 0.3555,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 2.568,
|
| 1126 |
+
"grad_norm": 0.09889559191933857,
|
| 1127 |
+
"learning_rate": 4.6899497422837035e-06,
|
| 1128 |
+
"loss": 0.3596,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 2.584,
|
| 1133 |
+
"grad_norm": 0.09837408849770972,
|
| 1134 |
+
"learning_rate": 4.34267392397206e-06,
|
| 1135 |
+
"loss": 0.3558,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 2.6,
|
| 1140 |
+
"grad_norm": 0.08865406915783132,
|
| 1141 |
+
"learning_rate": 4.0080164614281395e-06,
|
| 1142 |
+
"loss": 0.3534,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 2.616,
|
| 1147 |
+
"grad_norm": 0.09991828929700397,
|
| 1148 |
+
"learning_rate": 3.6860957826830545e-06,
|
| 1149 |
+
"loss": 0.3596,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 2.632,
|
| 1154 |
+
"grad_norm": 0.10236445503716023,
|
| 1155 |
+
"learning_rate": 3.377025808495913e-06,
|
| 1156 |
+
"loss": 0.3552,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 2.648,
|
| 1161 |
+
"grad_norm": 0.08439473747294635,
|
| 1162 |
+
"learning_rate": 3.080915912039628e-06,
|
| 1163 |
+
"loss": 0.3581,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 2.664,
|
| 1168 |
+
"grad_norm": 0.08954435303382993,
|
| 1169 |
+
"learning_rate": 2.797870880196203e-06,
|
| 1170 |
+
"loss": 0.3547,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 2.68,
|
| 1175 |
+
"grad_norm": 0.09218355997294332,
|
| 1176 |
+
"learning_rate": 2.527990876474893e-06,
|
| 1177 |
+
"loss": 0.3601,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 2.6959999999999997,
|
| 1182 |
+
"grad_norm": 0.08584647995949408,
|
| 1183 |
+
"learning_rate": 2.271371405566485e-06,
|
| 1184 |
+
"loss": 0.3545,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 2.7119999999999997,
|
| 1189 |
+
"grad_norm": 0.08273734564915391,
|
| 1190 |
+
"learning_rate": 2.0281032795462963e-06,
|
| 1191 |
+
"loss": 0.3553,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 2.7279999999999998,
|
| 1196 |
+
"grad_norm": 0.08006013416615393,
|
| 1197 |
+
"learning_rate": 1.7982725857377036e-06,
|
| 1198 |
+
"loss": 0.3575,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 2.7439999999999998,
|
| 1203 |
+
"grad_norm": 0.08474559651311726,
|
| 1204 |
+
"learning_rate": 1.5819606562477475e-06,
|
| 1205 |
+
"loss": 0.3552,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 2.76,
|
| 1210 |
+
"grad_norm": 0.08815499678673341,
|
| 1211 |
+
"learning_rate": 1.3792440391854122e-06,
|
| 1212 |
+
"loss": 0.3559,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 2.776,
|
| 1217 |
+
"grad_norm": 0.08633285045942303,
|
| 1218 |
+
"learning_rate": 1.190194471572963e-06,
|
| 1219 |
+
"loss": 0.3593,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 2.792,
|
| 1224 |
+
"grad_norm": 0.0802807002308741,
|
| 1225 |
+
"learning_rate": 1.0148788539597176e-06,
|
| 1226 |
+
"loss": 0.3621,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 2.808,
|
| 1231 |
+
"grad_norm": 0.08660360505575548,
|
| 1232 |
+
"learning_rate": 8.533592267474166e-07,
|
| 1233 |
+
"loss": 0.3589,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 2.824,
|
| 1238 |
+
"grad_norm": 0.08068230637387531,
|
| 1239 |
+
"learning_rate": 7.056927482354514e-07,
|
| 1240 |
+
"loss": 0.3563,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 2.84,
|
| 1245 |
+
"grad_norm": 0.07523651247335839,
|
| 1246 |
+
"learning_rate": 5.719316743938086e-07,
|
| 1247 |
+
"loss": 0.3547,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 2.856,
|
| 1252 |
+
"grad_norm": 0.0797260677230398,
|
| 1253 |
+
"learning_rate": 4.521233403707781e-07,
|
| 1254 |
+
"loss": 0.3514,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 2.872,
|
| 1259 |
+
"grad_norm": 0.076655921195965,
|
| 1260 |
+
"learning_rate": 3.463101437420857e-07,
|
| 1261 |
+
"loss": 0.3576,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 2.888,
|
| 1266 |
+
"grad_norm": 0.07807817201802293,
|
| 1267 |
+
"learning_rate": 2.5452952950732136e-07,
|
| 1268 |
+
"loss": 0.3496,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 2.904,
|
| 1273 |
+
"grad_norm": 0.08466849233747002,
|
| 1274 |
+
"learning_rate": 1.768139768389343e-07,
|
| 1275 |
+
"loss": 0.3584,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 2.92,
|
| 1280 |
+
"grad_norm": 0.07987580277852142,
|
| 1281 |
+
"learning_rate": 1.1319098758858726e-07,
|
| 1282 |
+
"loss": 0.3559,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 2.936,
|
| 1287 |
+
"grad_norm": 0.07757053010174227,
|
| 1288 |
+
"learning_rate": 6.368307655482576e-08,
|
| 1289 |
+
"loss": 0.3566,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 2.952,
|
| 1294 |
+
"grad_norm": 0.07422516712369932,
|
| 1295 |
+
"learning_rate": 2.830776351558484e-08,
|
| 1296 |
+
"loss": 0.3628,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 2.968,
|
| 1301 |
+
"grad_norm": 0.08498877761473865,
|
| 1302 |
+
"learning_rate": 7.077567028335175e-09,
|
| 1303 |
+
"loss": 0.3557,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 2.984,
|
| 1308 |
+
"grad_norm": 0.08178318612333094,
|
| 1309 |
+
"learning_rate": 0.0,
|
| 1310 |
+
"loss": 0.3594,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 2.984,
|
| 1315 |
+
"step": 186,
|
| 1316 |
+
"total_flos": 4.786332995139142e+18,
|
| 1317 |
+
"train_loss": 0.42651380758772617,
|
| 1318 |
+
"train_runtime": 40803.7285,
|
| 1319 |
+
"train_samples_per_second": 2.352,
|
| 1320 |
+
"train_steps_per_second": 0.005
|
| 1321 |
+
}
|
| 1322 |
+
],
|
| 1323 |
+
"logging_steps": 1.0,
|
| 1324 |
+
"max_steps": 186,
|
| 1325 |
+
"num_input_tokens_seen": 0,
|
| 1326 |
+
"num_train_epochs": 3,
|
| 1327 |
+
"save_steps": 500,
|
| 1328 |
+
"stateful_callbacks": {
|
| 1329 |
+
"TrainerControl": {
|
| 1330 |
+
"args": {
|
| 1331 |
+
"should_epoch_stop": false,
|
| 1332 |
+
"should_evaluate": false,
|
| 1333 |
+
"should_log": false,
|
| 1334 |
+
"should_save": true,
|
| 1335 |
+
"should_training_stop": true
|
| 1336 |
+
},
|
| 1337 |
+
"attributes": {}
|
| 1338 |
+
}
|
| 1339 |
+
},
|
| 1340 |
+
"total_flos": 4.786332995139142e+18,
|
| 1341 |
+
"train_batch_size": 1,
|
| 1342 |
+
"trial_name": null,
|
| 1343 |
+
"trial_params": null
|
| 1344 |
+
}
|
training_loss.png
ADDED
|