End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2107 -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: no_pipeline_code_100k
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# no_pipeline_code_100k
|
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: no_pipeline_code_100k
|
|
|
16 |
|
17 |
# no_pipeline_code_100k
|
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 mlfoundations-dev/no_pipeline_code_100k dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.993657505285412,
|
3 |
+
"total_flos": 7.598088478550655e+18,
|
4 |
+
"train_loss": 0.30004240335044213,
|
5 |
+
"train_runtime": 18569.8184,
|
6 |
+
"train_samples_per_second": 8.145,
|
7 |
+
"train_steps_per_second": 0.016
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.993657505285412,
|
3 |
+
"total_flos": 7.598088478550655e+18,
|
4 |
+
"train_loss": 0.30004240335044213,
|
5 |
+
"train_runtime": 18569.8184,
|
6 |
+
"train_samples_per_second": 8.145,
|
7 |
+
"train_steps_per_second": 0.016
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.993657505285412,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 295,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.016913319238900635,
|
13 |
+
"grad_norm": 6.413493663490327,
|
14 |
+
"learning_rate": 2.666666666666667e-06,
|
15 |
+
"loss": 1.0794,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03382663847780127,
|
20 |
+
"grad_norm": 6.34987510249828,
|
21 |
+
"learning_rate": 5.333333333333334e-06,
|
22 |
+
"loss": 1.0841,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0507399577167019,
|
27 |
+
"grad_norm": 5.862015398896724,
|
28 |
+
"learning_rate": 8.000000000000001e-06,
|
29 |
+
"loss": 1.0589,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.06765327695560254,
|
34 |
+
"grad_norm": 2.6264000529624996,
|
35 |
+
"learning_rate": 1.0666666666666667e-05,
|
36 |
+
"loss": 0.9746,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.08456659619450317,
|
41 |
+
"grad_norm": 3.0635961192506502,
|
42 |
+
"learning_rate": 1.3333333333333333e-05,
|
43 |
+
"loss": 0.9471,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.1014799154334038,
|
48 |
+
"grad_norm": 3.580252863085836,
|
49 |
+
"learning_rate": 1.6000000000000003e-05,
|
50 |
+
"loss": 0.95,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.11839323467230443,
|
55 |
+
"grad_norm": 3.4613054685344182,
|
56 |
+
"learning_rate": 1.866666666666667e-05,
|
57 |
+
"loss": 0.9157,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.13530655391120508,
|
62 |
+
"grad_norm": 2.6771694322893844,
|
63 |
+
"learning_rate": 2.1333333333333335e-05,
|
64 |
+
"loss": 0.8833,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1522198731501057,
|
69 |
+
"grad_norm": 1.7580967437469759,
|
70 |
+
"learning_rate": 2.4e-05,
|
71 |
+
"loss": 0.842,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.16913319238900634,
|
76 |
+
"grad_norm": 1.7394019715308653,
|
77 |
+
"learning_rate": 2.6666666666666667e-05,
|
78 |
+
"loss": 0.823,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.18604651162790697,
|
83 |
+
"grad_norm": 1.332232805805825,
|
84 |
+
"learning_rate": 2.9333333333333333e-05,
|
85 |
+
"loss": 0.8125,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.2029598308668076,
|
90 |
+
"grad_norm": 1.289986148292898,
|
91 |
+
"learning_rate": 3.2000000000000005e-05,
|
92 |
+
"loss": 0.7992,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.21987315010570824,
|
97 |
+
"grad_norm": 1.147742600710193,
|
98 |
+
"learning_rate": 3.466666666666667e-05,
|
99 |
+
"loss": 0.7872,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.23678646934460887,
|
104 |
+
"grad_norm": 1.9207899190874598,
|
105 |
+
"learning_rate": 3.733333333333334e-05,
|
106 |
+
"loss": 0.7753,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2536997885835095,
|
111 |
+
"grad_norm": 1.7005933022049142,
|
112 |
+
"learning_rate": 4e-05,
|
113 |
+
"loss": 0.7693,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.27061310782241016,
|
118 |
+
"grad_norm": 0.853282426815688,
|
119 |
+
"learning_rate": 4.266666666666667e-05,
|
120 |
+
"loss": 0.7601,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.28752642706131076,
|
125 |
+
"grad_norm": 1.471682682867534,
|
126 |
+
"learning_rate": 4.5333333333333335e-05,
|
127 |
+
"loss": 0.751,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.3044397463002114,
|
132 |
+
"grad_norm": 1.5841279329606288,
|
133 |
+
"learning_rate": 4.8e-05,
|
134 |
+
"loss": 0.7541,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.321353065539112,
|
139 |
+
"grad_norm": 1.4625696419760468,
|
140 |
+
"learning_rate": 5.066666666666667e-05,
|
141 |
+
"loss": 0.7397,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3382663847780127,
|
146 |
+
"grad_norm": 50.69019319771752,
|
147 |
+
"learning_rate": 5.333333333333333e-05,
|
148 |
+
"loss": 0.7588,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.35517970401691334,
|
153 |
+
"grad_norm": 4.0525214348541345,
|
154 |
+
"learning_rate": 5.6e-05,
|
155 |
+
"loss": 0.763,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.37209302325581395,
|
160 |
+
"grad_norm": 1.7351812762822147,
|
161 |
+
"learning_rate": 5.8666666666666665e-05,
|
162 |
+
"loss": 0.7546,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.3890063424947146,
|
167 |
+
"grad_norm": 3.664964660931191,
|
168 |
+
"learning_rate": 6.133333333333334e-05,
|
169 |
+
"loss": 0.7522,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.4059196617336152,
|
174 |
+
"grad_norm": 3.6956209810139753,
|
175 |
+
"learning_rate": 6.400000000000001e-05,
|
176 |
+
"loss": 0.7642,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.42283298097251587,
|
181 |
+
"grad_norm": 1.7807368149386305,
|
182 |
+
"learning_rate": 6.666666666666667e-05,
|
183 |
+
"loss": 0.7496,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.4397463002114165,
|
188 |
+
"grad_norm": 2.385581543567798,
|
189 |
+
"learning_rate": 6.933333333333334e-05,
|
190 |
+
"loss": 0.7377,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.45665961945031713,
|
195 |
+
"grad_norm": 1.6901682837168546,
|
196 |
+
"learning_rate": 7.2e-05,
|
197 |
+
"loss": 0.7384,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.47357293868921774,
|
202 |
+
"grad_norm": 1.6948090663946762,
|
203 |
+
"learning_rate": 7.466666666666667e-05,
|
204 |
+
"loss": 0.7232,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4904862579281184,
|
209 |
+
"grad_norm": 1.180671981877562,
|
210 |
+
"learning_rate": 7.733333333333333e-05,
|
211 |
+
"loss": 0.7249,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.507399577167019,
|
216 |
+
"grad_norm": 1.3783789465537124,
|
217 |
+
"learning_rate": 8e-05,
|
218 |
+
"loss": 0.7223,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.5243128964059197,
|
223 |
+
"grad_norm": 1.5100176453293683,
|
224 |
+
"learning_rate": 7.99971891808302e-05,
|
225 |
+
"loss": 0.7261,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.5412262156448203,
|
230 |
+
"grad_norm": 1.562246995921935,
|
231 |
+
"learning_rate": 7.998875711835601e-05,
|
232 |
+
"loss": 0.7216,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.5581395348837209,
|
237 |
+
"grad_norm": 1.1934672919692264,
|
238 |
+
"learning_rate": 7.997470499762758e-05,
|
239 |
+
"loss": 0.7129,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5750528541226215,
|
244 |
+
"grad_norm": 2.0782935739839576,
|
245 |
+
"learning_rate": 7.995503479354342e-05,
|
246 |
+
"loss": 0.7085,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5919661733615222,
|
251 |
+
"grad_norm": 1.104206642275378,
|
252 |
+
"learning_rate": 7.992974927057287e-05,
|
253 |
+
"loss": 0.7097,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6088794926004228,
|
258 |
+
"grad_norm": 2.051456349616284,
|
259 |
+
"learning_rate": 7.989885198236755e-05,
|
260 |
+
"loss": 0.7098,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.6257928118393234,
|
265 |
+
"grad_norm": 1.422142463903418,
|
266 |
+
"learning_rate": 7.986234727126197e-05,
|
267 |
+
"loss": 0.7012,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.642706131078224,
|
272 |
+
"grad_norm": 1.324149510082725,
|
273 |
+
"learning_rate": 7.982024026766325e-05,
|
274 |
+
"loss": 0.6947,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.6596194503171248,
|
279 |
+
"grad_norm": 1.601060608608025,
|
280 |
+
"learning_rate": 7.977253688932997e-05,
|
281 |
+
"loss": 0.697,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.6765327695560254,
|
286 |
+
"grad_norm": 1.0264261603183695,
|
287 |
+
"learning_rate": 7.971924384054068e-05,
|
288 |
+
"loss": 0.6917,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.693446088794926,
|
293 |
+
"grad_norm": 1.781187471972741,
|
294 |
+
"learning_rate": 7.966036861115155e-05,
|
295 |
+
"loss": 0.69,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.7103594080338267,
|
300 |
+
"grad_norm": 1.2812537114829534,
|
301 |
+
"learning_rate": 7.959591947554373e-05,
|
302 |
+
"loss": 0.6952,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.7272727272727273,
|
307 |
+
"grad_norm": 1.7999793641707087,
|
308 |
+
"learning_rate": 7.952590549146052e-05,
|
309 |
+
"loss": 0.6907,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.7441860465116279,
|
314 |
+
"grad_norm": 1.5439280136655336,
|
315 |
+
"learning_rate": 7.945033649873435e-05,
|
316 |
+
"loss": 0.6832,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.7610993657505285,
|
321 |
+
"grad_norm": 1.5662443672607453,
|
322 |
+
"learning_rate": 7.936922311790388e-05,
|
323 |
+
"loss": 0.6823,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.7780126849894292,
|
328 |
+
"grad_norm": 1.2497658868722825,
|
329 |
+
"learning_rate": 7.928257674872142e-05,
|
330 |
+
"loss": 0.6788,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7949260042283298,
|
335 |
+
"grad_norm": 1.3978874875812968,
|
336 |
+
"learning_rate": 7.919040956855071e-05,
|
337 |
+
"loss": 0.6791,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.8118393234672304,
|
342 |
+
"grad_norm": 1.111875470009674,
|
343 |
+
"learning_rate": 7.909273453065563e-05,
|
344 |
+
"loss": 0.674,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.828752642706131,
|
349 |
+
"grad_norm": 1.4084012661336456,
|
350 |
+
"learning_rate": 7.89895653623796e-05,
|
351 |
+
"loss": 0.6768,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.8456659619450317,
|
356 |
+
"grad_norm": 1.3198648139235754,
|
357 |
+
"learning_rate": 7.888091656321644e-05,
|
358 |
+
"loss": 0.6722,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.8625792811839323,
|
363 |
+
"grad_norm": 1.1704302169641951,
|
364 |
+
"learning_rate": 7.87668034027725e-05,
|
365 |
+
"loss": 0.6686,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.879492600422833,
|
370 |
+
"grad_norm": 1.1249582629641917,
|
371 |
+
"learning_rate": 7.864724191862074e-05,
|
372 |
+
"loss": 0.6691,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.8964059196617337,
|
377 |
+
"grad_norm": 1.1642061181623538,
|
378 |
+
"learning_rate": 7.852224891404673e-05,
|
379 |
+
"loss": 0.67,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.9133192389006343,
|
384 |
+
"grad_norm": 1.0543662434799908,
|
385 |
+
"learning_rate": 7.839184195568714e-05,
|
386 |
+
"loss": 0.6647,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.9302325581395349,
|
391 |
+
"grad_norm": 1.5828108299174015,
|
392 |
+
"learning_rate": 7.82560393710609e-05,
|
393 |
+
"loss": 0.664,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.9471458773784355,
|
398 |
+
"grad_norm": 0.8359446447224135,
|
399 |
+
"learning_rate": 7.811486024599342e-05,
|
400 |
+
"loss": 0.662,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.9640591966173362,
|
405 |
+
"grad_norm": 1.2866726070810746,
|
406 |
+
"learning_rate": 7.796832442193425e-05,
|
407 |
+
"loss": 0.6609,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.9809725158562368,
|
412 |
+
"grad_norm": 1.2282172708094552,
|
413 |
+
"learning_rate": 7.781645249316853e-05,
|
414 |
+
"loss": 0.6642,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.9978858350951374,
|
419 |
+
"grad_norm": 0.7677257570393213,
|
420 |
+
"learning_rate": 7.765926580392275e-05,
|
421 |
+
"loss": 0.6568,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.014799154334038,
|
426 |
+
"grad_norm": 1.3799867955469376,
|
427 |
+
"learning_rate": 7.749678644536485e-05,
|
428 |
+
"loss": 0.6371,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.0317124735729386,
|
433 |
+
"grad_norm": 0.4439451726960683,
|
434 |
+
"learning_rate": 7.73290372524996e-05,
|
435 |
+
"loss": 0.6287,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.0486257928118394,
|
440 |
+
"grad_norm": 1.0937067857650518,
|
441 |
+
"learning_rate": 7.715604180095937e-05,
|
442 |
+
"loss": 0.6311,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.06553911205074,
|
447 |
+
"grad_norm": 1.0880050070195724,
|
448 |
+
"learning_rate": 7.697782440369076e-05,
|
449 |
+
"loss": 0.6307,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.0824524312896406,
|
454 |
+
"grad_norm": 1.6112248603514676,
|
455 |
+
"learning_rate": 7.679441010753755e-05,
|
456 |
+
"loss": 0.6299,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.0993657505285412,
|
461 |
+
"grad_norm": 0.9149122411261773,
|
462 |
+
"learning_rate": 7.660582468972074e-05,
|
463 |
+
"loss": 0.6192,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.1162790697674418,
|
468 |
+
"grad_norm": 1.9537086622590363,
|
469 |
+
"learning_rate": 7.641209465421573e-05,
|
470 |
+
"loss": 0.6292,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.1331923890063424,
|
475 |
+
"grad_norm": 1.2724614656696243,
|
476 |
+
"learning_rate": 7.621324722802738e-05,
|
477 |
+
"loss": 0.6316,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.150105708245243,
|
482 |
+
"grad_norm": 1.6155167051243937,
|
483 |
+
"learning_rate": 7.600931035736356e-05,
|
484 |
+
"loss": 0.6248,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.1670190274841437,
|
489 |
+
"grad_norm": 1.3093098660806457,
|
490 |
+
"learning_rate": 7.580031270370755e-05,
|
491 |
+
"loss": 0.6262,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.1839323467230445,
|
496 |
+
"grad_norm": 1.2664188246406738,
|
497 |
+
"learning_rate": 7.558628363978991e-05,
|
498 |
+
"loss": 0.6263,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.200845665961945,
|
503 |
+
"grad_norm": 0.8919605951501496,
|
504 |
+
"learning_rate": 7.536725324546042e-05,
|
505 |
+
"loss": 0.627,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.2177589852008457,
|
510 |
+
"grad_norm": 1.1152785128821758,
|
511 |
+
"learning_rate": 7.514325230346066e-05,
|
512 |
+
"loss": 0.6235,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.2346723044397463,
|
517 |
+
"grad_norm": 0.9185876080820494,
|
518 |
+
"learning_rate": 7.491431229509771e-05,
|
519 |
+
"loss": 0.6217,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.251585623678647,
|
524 |
+
"grad_norm": 1.1551636783901125,
|
525 |
+
"learning_rate": 7.468046539581978e-05,
|
526 |
+
"loss": 0.6223,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.2684989429175475,
|
531 |
+
"grad_norm": 0.8850366558402643,
|
532 |
+
"learning_rate": 7.444174447069423e-05,
|
533 |
+
"loss": 0.6222,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.285412262156448,
|
538 |
+
"grad_norm": 0.8894422352367355,
|
539 |
+
"learning_rate": 7.41981830697887e-05,
|
540 |
+
"loss": 0.6216,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.302325581395349,
|
545 |
+
"grad_norm": 1.091924658217144,
|
546 |
+
"learning_rate": 7.394981542345592e-05,
|
547 |
+
"loss": 0.6271,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.3192389006342495,
|
552 |
+
"grad_norm": 0.9640574762684255,
|
553 |
+
"learning_rate": 7.369667643752296e-05,
|
554 |
+
"loss": 0.6182,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.3361522198731501,
|
559 |
+
"grad_norm": 1.1327847666719373,
|
560 |
+
"learning_rate": 7.343880168838554e-05,
|
561 |
+
"loss": 0.6224,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.3530655391120507,
|
566 |
+
"grad_norm": 0.8421172391545804,
|
567 |
+
"learning_rate": 7.317622741800808e-05,
|
568 |
+
"loss": 0.623,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.3699788583509513,
|
573 |
+
"grad_norm": 0.8423363009487923,
|
574 |
+
"learning_rate": 7.29089905288302e-05,
|
575 |
+
"loss": 0.6244,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.386892177589852,
|
580 |
+
"grad_norm": 0.9885572798098522,
|
581 |
+
"learning_rate": 7.263712857858044e-05,
|
582 |
+
"loss": 0.6166,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.4038054968287526,
|
587 |
+
"grad_norm": 0.8421007232951924,
|
588 |
+
"learning_rate": 7.236067977499791e-05,
|
589 |
+
"loss": 0.6132,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.4207188160676534,
|
594 |
+
"grad_norm": 0.42329016939891345,
|
595 |
+
"learning_rate": 7.207968297046238e-05,
|
596 |
+
"loss": 0.6144,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.437632135306554,
|
601 |
+
"grad_norm": 0.9004545194045358,
|
602 |
+
"learning_rate": 7.179417765653413e-05,
|
603 |
+
"loss": 0.6069,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.4545454545454546,
|
608 |
+
"grad_norm": 0.72292442473883,
|
609 |
+
"learning_rate": 7.150420395840363e-05,
|
610 |
+
"loss": 0.6118,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.4714587737843552,
|
615 |
+
"grad_norm": 0.5087366701779765,
|
616 |
+
"learning_rate": 7.120980262925234e-05,
|
617 |
+
"loss": 0.6125,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.4883720930232558,
|
622 |
+
"grad_norm": 0.7021860102124763,
|
623 |
+
"learning_rate": 7.091101504452525e-05,
|
624 |
+
"loss": 0.6092,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.5052854122621564,
|
629 |
+
"grad_norm": 0.6531135578741417,
|
630 |
+
"learning_rate": 7.06078831961159e-05,
|
631 |
+
"loss": 0.6104,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.522198731501057,
|
636 |
+
"grad_norm": 0.620584574447578,
|
637 |
+
"learning_rate": 7.030044968646481e-05,
|
638 |
+
"loss": 0.6031,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.5391120507399578,
|
643 |
+
"grad_norm": 0.6340486656719341,
|
644 |
+
"learning_rate": 6.99887577225721e-05,
|
645 |
+
"loss": 0.6142,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.5560253699788582,
|
650 |
+
"grad_norm": 0.5925773699892677,
|
651 |
+
"learning_rate": 6.967285110992512e-05,
|
652 |
+
"loss": 0.606,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.572938689217759,
|
657 |
+
"grad_norm": 0.7122308584870107,
|
658 |
+
"learning_rate": 6.935277424634203e-05,
|
659 |
+
"loss": 0.608,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.5898520084566596,
|
664 |
+
"grad_norm": 0.9363280749847648,
|
665 |
+
"learning_rate": 6.902857211573202e-05,
|
666 |
+
"loss": 0.609,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.6067653276955602,
|
671 |
+
"grad_norm": 0.9901231884806686,
|
672 |
+
"learning_rate": 6.870029028177324e-05,
|
673 |
+
"loss": 0.6072,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.6236786469344608,
|
678 |
+
"grad_norm": 1.0018010515926403,
|
679 |
+
"learning_rate": 6.836797488150935e-05,
|
680 |
+
"loss": 0.6104,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.6405919661733614,
|
685 |
+
"grad_norm": 0.6949270946643731,
|
686 |
+
"learning_rate": 6.803167261886515e-05,
|
687 |
+
"loss": 0.6047,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.6575052854122623,
|
692 |
+
"grad_norm": 0.5234509114513365,
|
693 |
+
"learning_rate": 6.769143075808304e-05,
|
694 |
+
"loss": 0.6043,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.6744186046511627,
|
699 |
+
"grad_norm": 0.6188932225550015,
|
700 |
+
"learning_rate": 6.734729711708021e-05,
|
701 |
+
"loss": 0.5988,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.6913319238900635,
|
706 |
+
"grad_norm": 0.7286170214049876,
|
707 |
+
"learning_rate": 6.699932006072842e-05,
|
708 |
+
"loss": 0.6073,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.708245243128964,
|
713 |
+
"grad_norm": 0.6562439434486612,
|
714 |
+
"learning_rate": 6.664754849405673e-05,
|
715 |
+
"loss": 0.5998,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.7251585623678647,
|
720 |
+
"grad_norm": 0.5574155347365618,
|
721 |
+
"learning_rate": 6.629203185537827e-05,
|
722 |
+
"loss": 0.6021,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.7420718816067653,
|
727 |
+
"grad_norm": 0.4662591572025372,
|
728 |
+
"learning_rate": 6.59328201093422e-05,
|
729 |
+
"loss": 0.6063,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.758985200845666,
|
734 |
+
"grad_norm": 0.46204690353298944,
|
735 |
+
"learning_rate": 6.55699637399116e-05,
|
736 |
+
"loss": 0.5995,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.7758985200845667,
|
741 |
+
"grad_norm": 0.3701809211539143,
|
742 |
+
"learning_rate": 6.520351374326846e-05,
|
743 |
+
"loss": 0.595,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.792811839323467,
|
748 |
+
"grad_norm": 0.3579684499942591,
|
749 |
+
"learning_rate": 6.483352162064649e-05,
|
750 |
+
"loss": 0.5937,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.809725158562368,
|
755 |
+
"grad_norm": 0.515564761624972,
|
756 |
+
"learning_rate": 6.446003937109329e-05,
|
757 |
+
"loss": 0.596,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.8266384778012685,
|
762 |
+
"grad_norm": 0.41538935816991474,
|
763 |
+
"learning_rate": 6.408311948416215e-05,
|
764 |
+
"loss": 0.6024,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.8435517970401691,
|
769 |
+
"grad_norm": 0.4508434982575453,
|
770 |
+
"learning_rate": 6.370281493253529e-05,
|
771 |
+
"loss": 0.6001,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.8604651162790697,
|
776 |
+
"grad_norm": 0.5724863863429978,
|
777 |
+
"learning_rate": 6.331917916457889e-05,
|
778 |
+
"loss": 0.6003,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.8773784355179703,
|
783 |
+
"grad_norm": 0.41473660661334366,
|
784 |
+
"learning_rate": 6.29322660968315e-05,
|
785 |
+
"loss": 0.5952,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.8942917547568712,
|
790 |
+
"grad_norm": 0.32580341976564303,
|
791 |
+
"learning_rate": 6.25421301064265e-05,
|
792 |
+
"loss": 0.5921,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.9112050739957716,
|
797 |
+
"grad_norm": 0.38295760654427335,
|
798 |
+
"learning_rate": 6.214882602344995e-05,
|
799 |
+
"loss": 0.6011,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.9281183932346724,
|
804 |
+
"grad_norm": 0.3244321997739756,
|
805 |
+
"learning_rate": 6.175240912323461e-05,
|
806 |
+
"loss": 0.5954,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.945031712473573,
|
811 |
+
"grad_norm": 0.32295724623540595,
|
812 |
+
"learning_rate": 6.135293511859164e-05,
|
813 |
+
"loss": 0.596,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.9619450317124736,
|
818 |
+
"grad_norm": 0.32981827862880453,
|
819 |
+
"learning_rate": 6.0950460151980515e-05,
|
820 |
+
"loss": 0.5992,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.9788583509513742,
|
825 |
+
"grad_norm": 0.33513981785491215,
|
826 |
+
"learning_rate": 6.054504078761882e-05,
|
827 |
+
"loss": 0.5942,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.9957716701902748,
|
832 |
+
"grad_norm": 0.43957183704822417,
|
833 |
+
"learning_rate": 6.013673400353261e-05,
|
834 |
+
"loss": 0.5989,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 2.016913319238901,
|
839 |
+
"grad_norm": 0.4106878114289402,
|
840 |
+
"learning_rate": 5.972559718354869e-05,
|
841 |
+
"loss": 0.5492,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 2.033826638477801,
|
846 |
+
"grad_norm": 0.29599026203285267,
|
847 |
+
"learning_rate": 5.93116881092298e-05,
|
848 |
+
"loss": 0.5505,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.050739957716702,
|
853 |
+
"grad_norm": 0.41586247840496515,
|
854 |
+
"learning_rate": 5.889506495175398e-05,
|
855 |
+
"loss": 0.5567,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.0676532769556024,
|
860 |
+
"grad_norm": 0.46137903528836155,
|
861 |
+
"learning_rate": 5.84757862637391e-05,
|
862 |
+
"loss": 0.5475,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 2.0845665961945032,
|
867 |
+
"grad_norm": 0.5142539826227918,
|
868 |
+
"learning_rate": 5.805391097101386e-05,
|
869 |
+
"loss": 0.5529,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.1014799154334036,
|
874 |
+
"grad_norm": 0.5647347155617343,
|
875 |
+
"learning_rate": 5.7629498364336256e-05,
|
876 |
+
"loss": 0.5516,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 2.1183932346723044,
|
881 |
+
"grad_norm": 0.6807919704137664,
|
882 |
+
"learning_rate": 5.720260809106083e-05,
|
883 |
+
"loss": 0.5445,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.1353065539112053,
|
888 |
+
"grad_norm": 0.730835621573782,
|
889 |
+
"learning_rate": 5.677330014675576e-05,
|
890 |
+
"loss": 0.5479,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.1522198731501057,
|
895 |
+
"grad_norm": 0.5114565807078407,
|
896 |
+
"learning_rate": 5.6341634866771e-05,
|
897 |
+
"loss": 0.5441,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.1691331923890065,
|
902 |
+
"grad_norm": 0.34308498907363805,
|
903 |
+
"learning_rate": 5.590767291775879e-05,
|
904 |
+
"loss": 0.5476,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.186046511627907,
|
909 |
+
"grad_norm": 0.3813014132912667,
|
910 |
+
"learning_rate": 5.547147528914735e-05,
|
911 |
+
"loss": 0.5495,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.2029598308668077,
|
916 |
+
"grad_norm": 0.48593415246661353,
|
917 |
+
"learning_rate": 5.503310328456953e-05,
|
918 |
+
"loss": 0.5479,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.219873150105708,
|
923 |
+
"grad_norm": 0.40094753079245804,
|
924 |
+
"learning_rate": 5.4592618513247016e-05,
|
925 |
+
"loss": 0.5392,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.236786469344609,
|
930 |
+
"grad_norm": 0.31635385666109733,
|
931 |
+
"learning_rate": 5.415008288133177e-05,
|
932 |
+
"loss": 0.5468,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.2536997885835097,
|
937 |
+
"grad_norm": 0.3287876640890785,
|
938 |
+
"learning_rate": 5.370555858320566e-05,
|
939 |
+
"loss": 0.5409,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.27061310782241,
|
944 |
+
"grad_norm": 0.3122683615724309,
|
945 |
+
"learning_rate": 5.3259108092739626e-05,
|
946 |
+
"loss": 0.5514,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.287526427061311,
|
951 |
+
"grad_norm": 0.319955463863539,
|
952 |
+
"learning_rate": 5.2810794154513503e-05,
|
953 |
+
"loss": 0.5424,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.3044397463002113,
|
958 |
+
"grad_norm": 0.28593481287881645,
|
959 |
+
"learning_rate": 5.23606797749979e-05,
|
960 |
+
"loss": 0.5415,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.321353065539112,
|
965 |
+
"grad_norm": 0.2918153776339266,
|
966 |
+
"learning_rate": 5.1908828213699125e-05,
|
967 |
+
"loss": 0.541,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.3382663847780125,
|
972 |
+
"grad_norm": 0.28151361793855834,
|
973 |
+
"learning_rate": 5.1455302974268694e-05,
|
974 |
+
"loss": 0.5427,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.3551797040169133,
|
979 |
+
"grad_norm": 0.27500490422917934,
|
980 |
+
"learning_rate": 5.1000167795578484e-05,
|
981 |
+
"loss": 0.542,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.3720930232558137,
|
986 |
+
"grad_norm": 0.3200274413563897,
|
987 |
+
"learning_rate": 5.054348664276271e-05,
|
988 |
+
"loss": 0.5448,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.3890063424947146,
|
993 |
+
"grad_norm": 0.2861683135632117,
|
994 |
+
"learning_rate": 5.008532369822835e-05,
|
995 |
+
"loss": 0.5441,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.4059196617336154,
|
1000 |
+
"grad_norm": 0.20893676601241593,
|
1001 |
+
"learning_rate": 4.962574335263474e-05,
|
1002 |
+
"loss": 0.5445,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.4228329809725158,
|
1007 |
+
"grad_norm": 0.299912000074808,
|
1008 |
+
"learning_rate": 4.916481019584417e-05,
|
1009 |
+
"loss": 0.5428,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.4397463002114166,
|
1014 |
+
"grad_norm": 0.27003374848243444,
|
1015 |
+
"learning_rate": 4.870258900784432e-05,
|
1016 |
+
"loss": 0.5427,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.456659619450317,
|
1021 |
+
"grad_norm": 0.24488626825340698,
|
1022 |
+
"learning_rate": 4.8239144749643936e-05,
|
1023 |
+
"loss": 0.5461,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.473572938689218,
|
1028 |
+
"grad_norm": 0.25658483521351827,
|
1029 |
+
"learning_rate": 4.777454255414331e-05,
|
1030 |
+
"loss": 0.5431,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.4904862579281186,
|
1035 |
+
"grad_norm": 0.19603545245500628,
|
1036 |
+
"learning_rate": 4.73088477169803e-05,
|
1037 |
+
"loss": 0.5396,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.507399577167019,
|
1042 |
+
"grad_norm": 0.28300406666883615,
|
1043 |
+
"learning_rate": 4.684212568735369e-05,
|
1044 |
+
"loss": 0.532,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.52431289640592,
|
1049 |
+
"grad_norm": 0.2724387227062065,
|
1050 |
+
"learning_rate": 4.637444205882487e-05,
|
1051 |
+
"loss": 0.543,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.54122621564482,
|
1056 |
+
"grad_norm": 0.2075227722673983,
|
1057 |
+
"learning_rate": 4.5905862560099255e-05,
|
1058 |
+
"loss": 0.5422,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.558139534883721,
|
1063 |
+
"grad_norm": 0.25415891498988885,
|
1064 |
+
"learning_rate": 4.5436453045788733e-05,
|
1065 |
+
"loss": 0.5431,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.5750528541226214,
|
1070 |
+
"grad_norm": 0.20324165471116562,
|
1071 |
+
"learning_rate": 4.496627948715638e-05,
|
1072 |
+
"loss": 0.54,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.5919661733615222,
|
1077 |
+
"grad_norm": 0.21426587375636572,
|
1078 |
+
"learning_rate": 4.449540796284476e-05,
|
1079 |
+
"loss": 0.5452,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.6088794926004226,
|
1084 |
+
"grad_norm": 0.20410713982332912,
|
1085 |
+
"learning_rate": 4.4023904649589237e-05,
|
1086 |
+
"loss": 0.5398,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 2.6257928118393234,
|
1091 |
+
"grad_norm": 0.20650709370533174,
|
1092 |
+
"learning_rate": 4.3551835812917395e-05,
|
1093 |
+
"loss": 0.5388,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.6427061310782243,
|
1098 |
+
"grad_norm": 0.2021444216203898,
|
1099 |
+
"learning_rate": 4.307926779783601e-05,
|
1100 |
+
"loss": 0.5444,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.6596194503171247,
|
1105 |
+
"grad_norm": 0.18385190099930163,
|
1106 |
+
"learning_rate": 4.260626701950686e-05,
|
1107 |
+
"loss": 0.5406,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 2.6765327695560255,
|
1112 |
+
"grad_norm": 0.1752246532104731,
|
1113 |
+
"learning_rate": 4.2132899953912705e-05,
|
1114 |
+
"loss": 0.5426,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 2.693446088794926,
|
1119 |
+
"grad_norm": 0.1585697465046842,
|
1120 |
+
"learning_rate": 4.165923312851467e-05,
|
1121 |
+
"loss": 0.544,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 2.7103594080338267,
|
1126 |
+
"grad_norm": 0.21945528633795194,
|
1127 |
+
"learning_rate": 4.1185333112902394e-05,
|
1128 |
+
"loss": 0.5376,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 2.7272727272727275,
|
1133 |
+
"grad_norm": 0.19966909732217533,
|
1134 |
+
"learning_rate": 4.07112665094383e-05,
|
1135 |
+
"loss": 0.5411,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.744186046511628,
|
1140 |
+
"grad_norm": 0.16846533638414993,
|
1141 |
+
"learning_rate": 4.023709994389722e-05,
|
1142 |
+
"loss": 0.5379,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 2.7610993657505283,
|
1147 |
+
"grad_norm": 0.20479487690940176,
|
1148 |
+
"learning_rate": 3.9762900056102785e-05,
|
1149 |
+
"loss": 0.539,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 2.778012684989429,
|
1154 |
+
"grad_norm": 0.14969683381172016,
|
1155 |
+
"learning_rate": 3.9288733490561705e-05,
|
1156 |
+
"loss": 0.5422,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 2.79492600422833,
|
1161 |
+
"grad_norm": 0.14298399402404394,
|
1162 |
+
"learning_rate": 3.881466688709761e-05,
|
1163 |
+
"loss": 0.547,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 2.8118393234672303,
|
1168 |
+
"grad_norm": 0.1326674456864354,
|
1169 |
+
"learning_rate": 3.834076687148534e-05,
|
1170 |
+
"loss": 0.5402,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 2.828752642706131,
|
1175 |
+
"grad_norm": 0.1565141669653189,
|
1176 |
+
"learning_rate": 3.78671000460873e-05,
|
1177 |
+
"loss": 0.5403,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.8456659619450315,
|
1182 |
+
"grad_norm": 0.17191157629121617,
|
1183 |
+
"learning_rate": 3.739373298049316e-05,
|
1184 |
+
"loss": 0.5443,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 2.8625792811839323,
|
1189 |
+
"grad_norm": 0.13984668543400278,
|
1190 |
+
"learning_rate": 3.6920732202164004e-05,
|
1191 |
+
"loss": 0.5369,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 2.879492600422833,
|
1196 |
+
"grad_norm": 0.17590249185629464,
|
1197 |
+
"learning_rate": 3.644816418708261e-05,
|
1198 |
+
"loss": 0.5429,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 2.8964059196617336,
|
1203 |
+
"grad_norm": 0.1343551922163818,
|
1204 |
+
"learning_rate": 3.597609535041078e-05,
|
1205 |
+
"loss": 0.543,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 2.9133192389006344,
|
1210 |
+
"grad_norm": 0.15576348131316683,
|
1211 |
+
"learning_rate": 3.550459203715525e-05,
|
1212 |
+
"loss": 0.5382,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 2.9302325581395348,
|
1217 |
+
"grad_norm": 0.1623704977836399,
|
1218 |
+
"learning_rate": 3.503372051284363e-05,
|
1219 |
+
"loss": 0.5376,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.9471458773784356,
|
1224 |
+
"grad_norm": 0.13213505440843387,
|
1225 |
+
"learning_rate": 3.456354695421128e-05,
|
1226 |
+
"loss": 0.5421,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 2.9640591966173364,
|
1231 |
+
"grad_norm": 0.15458290460245686,
|
1232 |
+
"learning_rate": 3.409413743990076e-05,
|
1233 |
+
"loss": 0.5408,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 2.980972515856237,
|
1238 |
+
"grad_norm": 0.1500443395740853,
|
1239 |
+
"learning_rate": 3.3625557941175145e-05,
|
1240 |
+
"loss": 0.5425,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 2.997885835095137,
|
1245 |
+
"grad_norm": 0.1677161485147336,
|
1246 |
+
"learning_rate": 3.3157874312646324e-05,
|
1247 |
+
"loss": 0.5353,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 3.014799154334038,
|
1252 |
+
"grad_norm": 0.240255196729171,
|
1253 |
+
"learning_rate": 3.2691152283019707e-05,
|
1254 |
+
"loss": 0.5039,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 3.031712473572939,
|
1259 |
+
"grad_norm": 0.20288998273603662,
|
1260 |
+
"learning_rate": 3.2225457445856704e-05,
|
1261 |
+
"loss": 0.5005,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 3.048625792811839,
|
1266 |
+
"grad_norm": 0.28352379794986865,
|
1267 |
+
"learning_rate": 3.176085525035607e-05,
|
1268 |
+
"loss": 0.4999,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 3.06553911205074,
|
1273 |
+
"grad_norm": 0.2392769360527132,
|
1274 |
+
"learning_rate": 3.1297410992155695e-05,
|
1275 |
+
"loss": 0.4967,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 3.0824524312896404,
|
1280 |
+
"grad_norm": 0.2462801377255953,
|
1281 |
+
"learning_rate": 3.083518980415584e-05,
|
1282 |
+
"loss": 0.494,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 3.0993657505285412,
|
1287 |
+
"grad_norm": 0.2046816342985542,
|
1288 |
+
"learning_rate": 3.0374256647365273e-05,
|
1289 |
+
"loss": 0.5016,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 3.116279069767442,
|
1294 |
+
"grad_norm": 0.22502245541413787,
|
1295 |
+
"learning_rate": 2.9914676301771667e-05,
|
1296 |
+
"loss": 0.4959,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 3.1331923890063424,
|
1301 |
+
"grad_norm": 0.18690899643344464,
|
1302 |
+
"learning_rate": 2.9456513357237305e-05,
|
1303 |
+
"loss": 0.492,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 3.1501057082452433,
|
1308 |
+
"grad_norm": 0.19999084225689995,
|
1309 |
+
"learning_rate": 2.8999832204421533e-05,
|
1310 |
+
"loss": 0.4957,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 3.1670190274841437,
|
1315 |
+
"grad_norm": 0.1996724844721772,
|
1316 |
+
"learning_rate": 2.8544697025731312e-05,
|
1317 |
+
"loss": 0.4938,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 3.1839323467230445,
|
1322 |
+
"grad_norm": 0.2002516110848758,
|
1323 |
+
"learning_rate": 2.809117178630089e-05,
|
1324 |
+
"loss": 0.4936,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 3.200845665961945,
|
1329 |
+
"grad_norm": 0.17568802053410443,
|
1330 |
+
"learning_rate": 2.7639320225002108e-05,
|
1331 |
+
"loss": 0.4939,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 3.2177589852008457,
|
1336 |
+
"grad_norm": 0.20159507891702164,
|
1337 |
+
"learning_rate": 2.7189205845486503e-05,
|
1338 |
+
"loss": 0.4919,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 3.234672304439746,
|
1343 |
+
"grad_norm": 0.16886465927465108,
|
1344 |
+
"learning_rate": 2.674089190726039e-05,
|
1345 |
+
"loss": 0.4945,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 3.251585623678647,
|
1350 |
+
"grad_norm": 0.1723463481490629,
|
1351 |
+
"learning_rate": 2.6294441416794348e-05,
|
1352 |
+
"loss": 0.4955,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 3.2684989429175477,
|
1357 |
+
"grad_norm": 0.16732875150642199,
|
1358 |
+
"learning_rate": 2.584991711866825e-05,
|
1359 |
+
"loss": 0.4941,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 3.285412262156448,
|
1364 |
+
"grad_norm": 0.17449947574909114,
|
1365 |
+
"learning_rate": 2.5407381486753e-05,
|
1366 |
+
"loss": 0.4972,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 3.302325581395349,
|
1371 |
+
"grad_norm": 0.14277976300939269,
|
1372 |
+
"learning_rate": 2.4966896715430484e-05,
|
1373 |
+
"loss": 0.4944,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 3.3192389006342493,
|
1378 |
+
"grad_norm": 0.19392491996803443,
|
1379 |
+
"learning_rate": 2.452852471085266e-05,
|
1380 |
+
"loss": 0.4874,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 3.33615221987315,
|
1385 |
+
"grad_norm": 0.14591210591063591,
|
1386 |
+
"learning_rate": 2.4092327082241228e-05,
|
1387 |
+
"loss": 0.49,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 3.353065539112051,
|
1392 |
+
"grad_norm": 0.1939023023120768,
|
1393 |
+
"learning_rate": 2.3658365133229014e-05,
|
1394 |
+
"loss": 0.4949,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.3699788583509513,
|
1399 |
+
"grad_norm": 0.1506331699728423,
|
1400 |
+
"learning_rate": 2.322669985324427e-05,
|
1401 |
+
"loss": 0.496,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 3.386892177589852,
|
1406 |
+
"grad_norm": 0.17026720830980485,
|
1407 |
+
"learning_rate": 2.2797391908939196e-05,
|
1408 |
+
"loss": 0.496,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 3.4038054968287526,
|
1413 |
+
"grad_norm": 0.15274280208208957,
|
1414 |
+
"learning_rate": 2.2370501635663758e-05,
|
1415 |
+
"loss": 0.4987,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.4207188160676534,
|
1420 |
+
"grad_norm": 0.14480714539854772,
|
1421 |
+
"learning_rate": 2.194608902898615e-05,
|
1422 |
+
"loss": 0.4912,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 3.4376321353065538,
|
1427 |
+
"grad_norm": 0.14876158010489382,
|
1428 |
+
"learning_rate": 2.1524213736260914e-05,
|
1429 |
+
"loss": 0.4935,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 3.4545454545454546,
|
1434 |
+
"grad_norm": 0.1364126534380488,
|
1435 |
+
"learning_rate": 2.110493504824603e-05,
|
1436 |
+
"loss": 0.4931,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 3.471458773784355,
|
1441 |
+
"grad_norm": 0.15223961963330843,
|
1442 |
+
"learning_rate": 2.068831189077021e-05,
|
1443 |
+
"loss": 0.4915,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 3.488372093023256,
|
1448 |
+
"grad_norm": 0.14067164049375167,
|
1449 |
+
"learning_rate": 2.0274402816451327e-05,
|
1450 |
+
"loss": 0.4901,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 3.5052854122621566,
|
1455 |
+
"grad_norm": 0.15323248544608387,
|
1456 |
+
"learning_rate": 1.9863265996467395e-05,
|
1457 |
+
"loss": 0.4948,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 3.522198731501057,
|
1462 |
+
"grad_norm": 0.12078036411953312,
|
1463 |
+
"learning_rate": 1.9454959212381196e-05,
|
1464 |
+
"loss": 0.4848,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 3.539112050739958,
|
1469 |
+
"grad_norm": 0.12738222077825645,
|
1470 |
+
"learning_rate": 1.9049539848019508e-05,
|
1471 |
+
"loss": 0.4888,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 3.556025369978858,
|
1476 |
+
"grad_norm": 0.12613094212304587,
|
1477 |
+
"learning_rate": 1.864706488140839e-05,
|
1478 |
+
"loss": 0.494,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 3.572938689217759,
|
1483 |
+
"grad_norm": 0.12945970120865485,
|
1484 |
+
"learning_rate": 1.8247590876765397e-05,
|
1485 |
+
"loss": 0.4913,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 3.58985200845666,
|
1490 |
+
"grad_norm": 0.11877352509538937,
|
1491 |
+
"learning_rate": 1.7851173976550074e-05,
|
1492 |
+
"loss": 0.4896,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 3.6067653276955602,
|
1497 |
+
"grad_norm": 0.12898445441968645,
|
1498 |
+
"learning_rate": 1.745786989357352e-05,
|
1499 |
+
"loss": 0.4934,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 3.6236786469344606,
|
1504 |
+
"grad_norm": 0.13331259276005983,
|
1505 |
+
"learning_rate": 1.7067733903168514e-05,
|
1506 |
+
"loss": 0.4981,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 3.6405919661733614,
|
1511 |
+
"grad_norm": 0.11640753956712334,
|
1512 |
+
"learning_rate": 1.6680820835421124e-05,
|
1513 |
+
"loss": 0.491,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 3.6575052854122623,
|
1518 |
+
"grad_norm": 0.12393383517827684,
|
1519 |
+
"learning_rate": 1.629718506746473e-05,
|
1520 |
+
"loss": 0.4911,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 3.6744186046511627,
|
1525 |
+
"grad_norm": 0.12400022320701169,
|
1526 |
+
"learning_rate": 1.5916880515837853e-05,
|
1527 |
+
"loss": 0.491,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 3.6913319238900635,
|
1532 |
+
"grad_norm": 0.12083588772836475,
|
1533 |
+
"learning_rate": 1.553996062890673e-05,
|
1534 |
+
"loss": 0.4901,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 3.708245243128964,
|
1539 |
+
"grad_norm": 0.13296886717929732,
|
1540 |
+
"learning_rate": 1.5166478379353527e-05,
|
1541 |
+
"loss": 0.4896,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 3.7251585623678647,
|
1546 |
+
"grad_norm": 0.11987707415916331,
|
1547 |
+
"learning_rate": 1.4796486256731561e-05,
|
1548 |
+
"loss": 0.4884,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 3.7420718816067655,
|
1553 |
+
"grad_norm": 0.12937806479206745,
|
1554 |
+
"learning_rate": 1.4430036260088405e-05,
|
1555 |
+
"loss": 0.4914,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 3.758985200845666,
|
1560 |
+
"grad_norm": 0.12105949781103952,
|
1561 |
+
"learning_rate": 1.4067179890657818e-05,
|
1562 |
+
"loss": 0.4932,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 3.7758985200845667,
|
1567 |
+
"grad_norm": 0.12603422119328564,
|
1568 |
+
"learning_rate": 1.3707968144621737e-05,
|
1569 |
+
"loss": 0.4906,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 3.792811839323467,
|
1574 |
+
"grad_norm": 0.12895057359839834,
|
1575 |
+
"learning_rate": 1.3352451505943283e-05,
|
1576 |
+
"loss": 0.4916,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 3.809725158562368,
|
1581 |
+
"grad_norm": 0.11779059685514345,
|
1582 |
+
"learning_rate": 1.3000679939271588e-05,
|
1583 |
+
"loss": 0.4899,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 3.8266384778012688,
|
1588 |
+
"grad_norm": 0.12005505548485516,
|
1589 |
+
"learning_rate": 1.2652702882919816e-05,
|
1590 |
+
"loss": 0.4892,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 3.843551797040169,
|
1595 |
+
"grad_norm": 0.11693857702189722,
|
1596 |
+
"learning_rate": 1.2308569241916982e-05,
|
1597 |
+
"loss": 0.4882,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 3.8604651162790695,
|
1602 |
+
"grad_norm": 0.11331616842600968,
|
1603 |
+
"learning_rate": 1.196832738113486e-05,
|
1604 |
+
"loss": 0.4905,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 3.8773784355179703,
|
1609 |
+
"grad_norm": 0.10701739590523425,
|
1610 |
+
"learning_rate": 1.1632025118490668e-05,
|
1611 |
+
"loss": 0.4909,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 3.894291754756871,
|
1616 |
+
"grad_norm": 0.11988576190072246,
|
1617 |
+
"learning_rate": 1.1299709718226745e-05,
|
1618 |
+
"loss": 0.4944,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 3.9112050739957716,
|
1623 |
+
"grad_norm": 0.11121462964705828,
|
1624 |
+
"learning_rate": 1.0971427884267984e-05,
|
1625 |
+
"loss": 0.4917,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 3.9281183932346724,
|
1630 |
+
"grad_norm": 0.11395570640396327,
|
1631 |
+
"learning_rate": 1.064722575365797e-05,
|
1632 |
+
"loss": 0.4882,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 3.9450317124735728,
|
1637 |
+
"grad_norm": 0.10396461016739235,
|
1638 |
+
"learning_rate": 1.032714889007488e-05,
|
1639 |
+
"loss": 0.491,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 3.9619450317124736,
|
1644 |
+
"grad_norm": 0.11715702891007032,
|
1645 |
+
"learning_rate": 1.0011242277427903e-05,
|
1646 |
+
"loss": 0.4934,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 3.9788583509513744,
|
1651 |
+
"grad_norm": 0.10219289031069584,
|
1652 |
+
"learning_rate": 9.699550313535196e-06,
|
1653 |
+
"loss": 0.4935,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 3.995771670190275,
|
1658 |
+
"grad_norm": 0.11020769064641903,
|
1659 |
+
"learning_rate": 9.392116803884113e-06,
|
1660 |
+
"loss": 0.4957,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 4.012684989429175,
|
1665 |
+
"grad_norm": 0.18561847101112702,
|
1666 |
+
"learning_rate": 9.088984955474749e-06,
|
1667 |
+
"loss": 0.4642,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 4.029598308668076,
|
1672 |
+
"grad_norm": 0.15415668805772503,
|
1673 |
+
"learning_rate": 8.790197370747662e-06,
|
1674 |
+
"loss": 0.4702,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 4.046511627906977,
|
1679 |
+
"grad_norm": 0.12412421502966088,
|
1680 |
+
"learning_rate": 8.495796041596379e-06,
|
1681 |
+
"loss": 0.4616,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 4.063424947145878,
|
1686 |
+
"grad_norm": 0.19340636921802185,
|
1687 |
+
"learning_rate": 8.205822343465865e-06,
|
1688 |
+
"loss": 0.4672,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 4.080338266384778,
|
1693 |
+
"grad_norm": 0.150303545226307,
|
1694 |
+
"learning_rate": 7.92031702953762e-06,
|
1695 |
+
"loss": 0.4673,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 4.097251585623678,
|
1700 |
+
"grad_norm": 0.14036203510057205,
|
1701 |
+
"learning_rate": 7.639320225002106e-06,
|
1702 |
+
"loss": 0.4643,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 4.114164904862579,
|
1707 |
+
"grad_norm": 0.16636230140015693,
|
1708 |
+
"learning_rate": 7.3628714214195505e-06,
|
1709 |
+
"loss": 0.4621,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 4.13107822410148,
|
1714 |
+
"grad_norm": 0.14909566928796342,
|
1715 |
+
"learning_rate": 7.091009471169808e-06,
|
1716 |
+
"loss": 0.469,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 4.147991543340381,
|
1721 |
+
"grad_norm": 0.11531951346631214,
|
1722 |
+
"learning_rate": 6.82377258199193e-06,
|
1723 |
+
"loss": 0.4653,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 4.164904862579281,
|
1728 |
+
"grad_norm": 0.13465762115081634,
|
1729 |
+
"learning_rate": 6.561198311614458e-06,
|
1730 |
+
"loss": 0.4643,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 4.181818181818182,
|
1735 |
+
"grad_norm": 0.13766735110553913,
|
1736 |
+
"learning_rate": 6.303323562477044e-06,
|
1737 |
+
"loss": 0.4639,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 4.1987315010570825,
|
1742 |
+
"grad_norm": 0.12778265696240118,
|
1743 |
+
"learning_rate": 6.050184576544089e-06,
|
1744 |
+
"loss": 0.4632,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 4.215644820295983,
|
1749 |
+
"grad_norm": 0.12810633421345125,
|
1750 |
+
"learning_rate": 5.801816930211304e-06,
|
1751 |
+
"loss": 0.4628,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 4.232558139534884,
|
1756 |
+
"grad_norm": 0.12277690959577636,
|
1757 |
+
"learning_rate": 5.558255529305779e-06,
|
1758 |
+
"loss": 0.4604,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 4.249471458773784,
|
1763 |
+
"grad_norm": 0.11589528975540994,
|
1764 |
+
"learning_rate": 5.319534604180239e-06,
|
1765 |
+
"loss": 0.4628,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 4.266384778012685,
|
1770 |
+
"grad_norm": 0.11147424185940413,
|
1771 |
+
"learning_rate": 5.085687704902311e-06,
|
1772 |
+
"loss": 0.466,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 4.283298097251586,
|
1777 |
+
"grad_norm": 0.11257144199561298,
|
1778 |
+
"learning_rate": 4.856747696539352e-06,
|
1779 |
+
"loss": 0.46,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 4.3002114164904865,
|
1784 |
+
"grad_norm": 0.10813455698764987,
|
1785 |
+
"learning_rate": 4.632746754539592e-06,
|
1786 |
+
"loss": 0.4683,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 4.3171247357293865,
|
1791 |
+
"grad_norm": 0.11373800536544551,
|
1792 |
+
"learning_rate": 4.4137163602101114e-06,
|
1793 |
+
"loss": 0.4637,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 4.334038054968287,
|
1798 |
+
"grad_norm": 0.11046741984632462,
|
1799 |
+
"learning_rate": 4.199687296292463e-06,
|
1800 |
+
"loss": 0.4681,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 4.350951374207188,
|
1805 |
+
"grad_norm": 0.10305627940281147,
|
1806 |
+
"learning_rate": 3.990689642636451e-06,
|
1807 |
+
"loss": 0.463,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 4.367864693446089,
|
1812 |
+
"grad_norm": 0.10783556670627031,
|
1813 |
+
"learning_rate": 3.786752771972633e-06,
|
1814 |
+
"loss": 0.4647,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 4.38477801268499,
|
1819 |
+
"grad_norm": 0.10174481636306562,
|
1820 |
+
"learning_rate": 3.5879053457842727e-06,
|
1821 |
+
"loss": 0.4621,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 4.40169133192389,
|
1826 |
+
"grad_norm": 0.10049574033809064,
|
1827 |
+
"learning_rate": 3.3941753102792617e-06,
|
1828 |
+
"loss": 0.4654,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 4.4186046511627906,
|
1833 |
+
"grad_norm": 0.10311281679860648,
|
1834 |
+
"learning_rate": 3.205589892462464e-06,
|
1835 |
+
"loss": 0.463,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 4.435517970401691,
|
1840 |
+
"grad_norm": 0.10087280232737314,
|
1841 |
+
"learning_rate": 3.0221755963092535e-06,
|
1842 |
+
"loss": 0.466,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 4.452431289640592,
|
1847 |
+
"grad_norm": 0.09530791545173184,
|
1848 |
+
"learning_rate": 2.8439581990406282e-06,
|
1849 |
+
"loss": 0.465,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 4.469344608879492,
|
1854 |
+
"grad_norm": 0.09269838586731129,
|
1855 |
+
"learning_rate": 2.670962747500405e-06,
|
1856 |
+
"loss": 0.4607,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 4.486257928118393,
|
1861 |
+
"grad_norm": 0.09668199136577137,
|
1862 |
+
"learning_rate": 2.5032135546351644e-06,
|
1863 |
+
"loss": 0.4596,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 4.503171247357294,
|
1868 |
+
"grad_norm": 0.1008178633134841,
|
1869 |
+
"learning_rate": 2.3407341960772543e-06,
|
1870 |
+
"loss": 0.4658,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 4.520084566596195,
|
1875 |
+
"grad_norm": 0.10094408556234877,
|
1876 |
+
"learning_rate": 2.1835475068314692e-06,
|
1877 |
+
"loss": 0.4639,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 4.5369978858350954,
|
1882 |
+
"grad_norm": 0.09784559877008187,
|
1883 |
+
"learning_rate": 2.0316755780657705e-06,
|
1884 |
+
"loss": 0.4653,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 4.553911205073996,
|
1889 |
+
"grad_norm": 0.09246547841202873,
|
1890 |
+
"learning_rate": 1.8851397540065886e-06,
|
1891 |
+
"loss": 0.4597,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 4.570824524312896,
|
1896 |
+
"grad_norm": 0.09230546176024836,
|
1897 |
+
"learning_rate": 1.7439606289391032e-06,
|
1898 |
+
"loss": 0.4666,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 4.587737843551797,
|
1903 |
+
"grad_norm": 0.09069653553878448,
|
1904 |
+
"learning_rate": 1.608158044312864e-06,
|
1905 |
+
"loss": 0.466,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 4.604651162790698,
|
1910 |
+
"grad_norm": 0.09690792075887246,
|
1911 |
+
"learning_rate": 1.4777510859532763e-06,
|
1912 |
+
"loss": 0.4687,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 4.621564482029599,
|
1917 |
+
"grad_norm": 0.09533181538032626,
|
1918 |
+
"learning_rate": 1.3527580813792728e-06,
|
1919 |
+
"loss": 0.4581,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 4.638477801268499,
|
1924 |
+
"grad_norm": 0.09317947770300303,
|
1925 |
+
"learning_rate": 1.2331965972275107e-06,
|
1926 |
+
"loss": 0.4628,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 4.6553911205073994,
|
1931 |
+
"grad_norm": 0.08913847523022372,
|
1932 |
+
"learning_rate": 1.1190834367835701e-06,
|
1933 |
+
"loss": 0.4647,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 4.6723044397463,
|
1938 |
+
"grad_norm": 0.09155386565900821,
|
1939 |
+
"learning_rate": 1.010434637620401e-06,
|
1940 |
+
"loss": 0.4659,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 4.689217758985201,
|
1945 |
+
"grad_norm": 0.08976753051025516,
|
1946 |
+
"learning_rate": 9.072654693443783e-07,
|
1947 |
+
"loss": 0.4635,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 4.706131078224102,
|
1952 |
+
"grad_norm": 0.090700209019417,
|
1953 |
+
"learning_rate": 8.095904314492942e-07,
|
1954 |
+
"loss": 0.4625,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 4.723044397463002,
|
1959 |
+
"grad_norm": 0.08968168081301507,
|
1960 |
+
"learning_rate": 7.174232512785973e-07,
|
1961 |
+
"loss": 0.462,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 4.739957716701903,
|
1966 |
+
"grad_norm": 0.09022904628045551,
|
1967 |
+
"learning_rate": 6.307768820961269e-07,
|
1968 |
+
"loss": 0.4662,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 4.7568710359408035,
|
1973 |
+
"grad_norm": 0.08812034626625409,
|
1974 |
+
"learning_rate": 5.496635012656626e-07,
|
1975 |
+
"loss": 0.4617,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 4.773784355179704,
|
1980 |
+
"grad_norm": 0.08899207755030464,
|
1981 |
+
"learning_rate": 4.740945085394888e-07,
|
1982 |
+
"loss": 0.4607,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 4.790697674418604,
|
1987 |
+
"grad_norm": 0.08829590124797453,
|
1988 |
+
"learning_rate": 4.040805244562762e-07,
|
1989 |
+
"loss": 0.4616,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 4.807610993657505,
|
1994 |
+
"grad_norm": 0.08657373837928006,
|
1995 |
+
"learning_rate": 3.3963138884845817e-07,
|
1996 |
+
"loss": 0.4633,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 4.824524312896406,
|
2001 |
+
"grad_norm": 0.08459948267077814,
|
2002 |
+
"learning_rate": 2.8075615945932333e-07,
|
2003 |
+
"loss": 0.4628,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 4.841437632135307,
|
2008 |
+
"grad_norm": 0.0853250253562712,
|
2009 |
+
"learning_rate": 2.2746311067004312e-07,
|
2010 |
+
"loss": 0.4639,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 4.858350951374208,
|
2015 |
+
"grad_norm": 0.0839434709427079,
|
2016 |
+
"learning_rate": 1.7975973233677058e-07,
|
2017 |
+
"loss": 0.4625,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 4.8752642706131075,
|
2022 |
+
"grad_norm": 0.08679449032412258,
|
2023 |
+
"learning_rate": 1.3765272873802914e-07,
|
2024 |
+
"loss": 0.4576,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 4.892177589852008,
|
2029 |
+
"grad_norm": 0.08550971284939722,
|
2030 |
+
"learning_rate": 1.0114801763245751e-07,
|
2031 |
+
"loss": 0.4616,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 4.909090909090909,
|
2036 |
+
"grad_norm": 0.08742773106225907,
|
2037 |
+
"learning_rate": 7.025072942714595e-08,
|
2038 |
+
"loss": 0.4647,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 4.92600422832981,
|
2043 |
+
"grad_norm": 0.08631984891841402,
|
2044 |
+
"learning_rate": 4.496520645659086e-08,
|
2045 |
+
"loss": 0.4656,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 4.94291754756871,
|
2050 |
+
"grad_norm": 0.0883297410165756,
|
2051 |
+
"learning_rate": 2.5295002372427436e-08,
|
2052 |
+
"loss": 0.4642,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 4.959830866807611,
|
2057 |
+
"grad_norm": 0.08562200061581574,
|
2058 |
+
"learning_rate": 1.1242881643993563e-08,
|
2059 |
+
"loss": 0.4629,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 4.976744186046512,
|
2064 |
+
"grad_norm": 0.08606794059852,
|
2065 |
+
"learning_rate": 2.8108191698050793e-09,
|
2066 |
+
"loss": 0.4655,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 4.993657505285412,
|
2071 |
+
"grad_norm": 0.08601525210984347,
|
2072 |
+
"learning_rate": 0.0,
|
2073 |
+
"loss": 0.4663,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 4.993657505285412,
|
2078 |
+
"step": 295,
|
2079 |
+
"total_flos": 7.598088478550655e+18,
|
2080 |
+
"train_loss": 0.30004240335044213,
|
2081 |
+
"train_runtime": 18569.8184,
|
2082 |
+
"train_samples_per_second": 8.145,
|
2083 |
+
"train_steps_per_second": 0.016
|
2084 |
+
}
|
2085 |
+
],
|
2086 |
+
"logging_steps": 1,
|
2087 |
+
"max_steps": 295,
|
2088 |
+
"num_input_tokens_seen": 0,
|
2089 |
+
"num_train_epochs": 5,
|
2090 |
+
"save_steps": 500,
|
2091 |
+
"stateful_callbacks": {
|
2092 |
+
"TrainerControl": {
|
2093 |
+
"args": {
|
2094 |
+
"should_epoch_stop": false,
|
2095 |
+
"should_evaluate": false,
|
2096 |
+
"should_log": false,
|
2097 |
+
"should_save": true,
|
2098 |
+
"should_training_stop": true
|
2099 |
+
},
|
2100 |
+
"attributes": {}
|
2101 |
+
}
|
2102 |
+
},
|
2103 |
+
"total_flos": 7.598088478550655e+18,
|
2104 |
+
"train_batch_size": 1,
|
2105 |
+
"trial_name": null,
|
2106 |
+
"trial_params": null
|
2107 |
+
}
|
training_loss.png
ADDED
![]() |