sedrickkeh
commited on
End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +2860 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
|
|
4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: oh_scale_x4_compute_equal
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# oh_scale_x4_compute_equal
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.7223
|
21 |
|
|
|
4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: oh_scale_x4_compute_equal
|
|
|
16 |
|
17 |
# oh_scale_x4_compute_equal
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v1.3_no-curation_gpt-4o-mini_scale_4x dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.7223
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.99849454271735,
|
3 |
+
"eval_loss": 0.7222821116447449,
|
4 |
+
"eval_runtime": 690.268,
|
5 |
+
"eval_samples_per_second": 38.896,
|
6 |
+
"eval_steps_per_second": 0.608,
|
7 |
+
"total_flos": 6673139006177280.0,
|
8 |
+
"train_loss": 0.6817261522194468,
|
9 |
+
"train_runtime": 130344.1738,
|
10 |
+
"train_samples_per_second": 15.654,
|
11 |
+
"train_steps_per_second": 0.031
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.99849454271735,
|
3 |
+
"eval_loss": 0.7222821116447449,
|
4 |
+
"eval_runtime": 690.268,
|
5 |
+
"eval_samples_per_second": 38.896,
|
6 |
+
"eval_steps_per_second": 0.608
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.99849454271735,
|
3 |
+
"total_flos": 6673139006177280.0,
|
4 |
+
"train_loss": 0.6817261522194468,
|
5 |
+
"train_runtime": 130344.1738,
|
6 |
+
"train_samples_per_second": 15.654,
|
7 |
+
"train_steps_per_second": 0.031
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2860 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.99849454271735,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3984,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0100363818843307,
|
13 |
+
"grad_norm": 33.33474786117092,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 1.0592,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0200727637686614,
|
20 |
+
"grad_norm": 1.3624139034064995,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.9442,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.030109145652992095,
|
27 |
+
"grad_norm": 1.4119904374590468,
|
28 |
+
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.8939,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.0401455275373228,
|
34 |
+
"grad_norm": 1.528739282183849,
|
35 |
+
"learning_rate": 5e-06,
|
36 |
+
"loss": 0.8733,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.050181909421653494,
|
41 |
+
"grad_norm": 1.0731508202908417,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.8605,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06021829130598419,
|
48 |
+
"grad_norm": 0.9332984692607159,
|
49 |
+
"learning_rate": 5e-06,
|
50 |
+
"loss": 0.8442,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07025467319031489,
|
55 |
+
"grad_norm": 0.872377007810567,
|
56 |
+
"learning_rate": 5e-06,
|
57 |
+
"loss": 0.8326,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.0802910550746456,
|
62 |
+
"grad_norm": 1.1369570969633511,
|
63 |
+
"learning_rate": 5e-06,
|
64 |
+
"loss": 0.8255,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.09032743695897628,
|
69 |
+
"grad_norm": 1.2039587178247435,
|
70 |
+
"learning_rate": 5e-06,
|
71 |
+
"loss": 0.8131,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.10036381884330699,
|
76 |
+
"grad_norm": 0.7786189445202707,
|
77 |
+
"learning_rate": 5e-06,
|
78 |
+
"loss": 0.8089,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.11040020072763769,
|
83 |
+
"grad_norm": 0.8167899418786717,
|
84 |
+
"learning_rate": 5e-06,
|
85 |
+
"loss": 0.8015,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.12043658261196838,
|
90 |
+
"grad_norm": 0.7700801877494686,
|
91 |
+
"learning_rate": 5e-06,
|
92 |
+
"loss": 0.7984,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.13047296449629908,
|
97 |
+
"grad_norm": 0.7344316347793653,
|
98 |
+
"learning_rate": 5e-06,
|
99 |
+
"loss": 0.8001,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.14050934638062978,
|
104 |
+
"grad_norm": 0.8770050061566579,
|
105 |
+
"learning_rate": 5e-06,
|
106 |
+
"loss": 0.7932,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.1505457282649605,
|
111 |
+
"grad_norm": 0.996787607804233,
|
112 |
+
"learning_rate": 5e-06,
|
113 |
+
"loss": 0.7958,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.1605821101492912,
|
118 |
+
"grad_norm": 0.6341583113229519,
|
119 |
+
"learning_rate": 5e-06,
|
120 |
+
"loss": 0.7933,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.17061849203362187,
|
125 |
+
"grad_norm": 0.7057153333092503,
|
126 |
+
"learning_rate": 5e-06,
|
127 |
+
"loss": 0.7864,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.18065487391795257,
|
132 |
+
"grad_norm": 0.5875164626639859,
|
133 |
+
"learning_rate": 5e-06,
|
134 |
+
"loss": 0.7864,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.19069125580228327,
|
139 |
+
"grad_norm": 0.696758643929393,
|
140 |
+
"learning_rate": 5e-06,
|
141 |
+
"loss": 0.7851,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.20072763768661397,
|
146 |
+
"grad_norm": 0.6720306069577169,
|
147 |
+
"learning_rate": 5e-06,
|
148 |
+
"loss": 0.782,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.21076401957094468,
|
153 |
+
"grad_norm": 0.7205930987361605,
|
154 |
+
"learning_rate": 5e-06,
|
155 |
+
"loss": 0.7802,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.22080040145527538,
|
160 |
+
"grad_norm": 0.7263170071853633,
|
161 |
+
"learning_rate": 5e-06,
|
162 |
+
"loss": 0.7766,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.23083678333960608,
|
167 |
+
"grad_norm": 0.6222177030840054,
|
168 |
+
"learning_rate": 5e-06,
|
169 |
+
"loss": 0.7811,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.24087316522393676,
|
174 |
+
"grad_norm": 0.7933389948657629,
|
175 |
+
"learning_rate": 5e-06,
|
176 |
+
"loss": 0.7785,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.25090954710826746,
|
181 |
+
"grad_norm": 0.677033021877631,
|
182 |
+
"learning_rate": 5e-06,
|
183 |
+
"loss": 0.774,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.26094592899259816,
|
188 |
+
"grad_norm": 1.1592201237448847,
|
189 |
+
"learning_rate": 5e-06,
|
190 |
+
"loss": 0.7685,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.27098231087692887,
|
195 |
+
"grad_norm": 0.8219803131042634,
|
196 |
+
"learning_rate": 5e-06,
|
197 |
+
"loss": 0.7733,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.28101869276125957,
|
202 |
+
"grad_norm": 0.8862071608668877,
|
203 |
+
"learning_rate": 5e-06,
|
204 |
+
"loss": 0.7717,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.2910550746455903,
|
209 |
+
"grad_norm": 0.7936049147378009,
|
210 |
+
"learning_rate": 5e-06,
|
211 |
+
"loss": 0.7732,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.301091456529921,
|
216 |
+
"grad_norm": 1.0061666072778264,
|
217 |
+
"learning_rate": 5e-06,
|
218 |
+
"loss": 0.7694,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.3111278384142517,
|
223 |
+
"grad_norm": 0.8032266175827166,
|
224 |
+
"learning_rate": 5e-06,
|
225 |
+
"loss": 0.7667,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.3211642202985824,
|
230 |
+
"grad_norm": 0.6353992902115431,
|
231 |
+
"learning_rate": 5e-06,
|
232 |
+
"loss": 0.7651,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.3312006021829131,
|
237 |
+
"grad_norm": 0.771841795504432,
|
238 |
+
"learning_rate": 5e-06,
|
239 |
+
"loss": 0.7628,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.34123698406724373,
|
244 |
+
"grad_norm": 0.6845658986967137,
|
245 |
+
"learning_rate": 5e-06,
|
246 |
+
"loss": 0.7717,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.35127336595157443,
|
251 |
+
"grad_norm": 0.5670233457983912,
|
252 |
+
"learning_rate": 5e-06,
|
253 |
+
"loss": 0.7634,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.36130974783590514,
|
258 |
+
"grad_norm": 0.6478342801580839,
|
259 |
+
"learning_rate": 5e-06,
|
260 |
+
"loss": 0.7629,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.37134612972023584,
|
265 |
+
"grad_norm": 0.6993852271462582,
|
266 |
+
"learning_rate": 5e-06,
|
267 |
+
"loss": 0.7633,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.38138251160456654,
|
272 |
+
"grad_norm": 0.8808430833699983,
|
273 |
+
"learning_rate": 5e-06,
|
274 |
+
"loss": 0.7689,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.39141889348889725,
|
279 |
+
"grad_norm": 0.8240632882958299,
|
280 |
+
"learning_rate": 5e-06,
|
281 |
+
"loss": 0.7595,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.40145527537322795,
|
286 |
+
"grad_norm": 0.6461166154976471,
|
287 |
+
"learning_rate": 5e-06,
|
288 |
+
"loss": 0.758,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.41149165725755865,
|
293 |
+
"grad_norm": 0.6015328676217312,
|
294 |
+
"learning_rate": 5e-06,
|
295 |
+
"loss": 0.7615,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.42152803914188935,
|
300 |
+
"grad_norm": 0.6844312177243449,
|
301 |
+
"learning_rate": 5e-06,
|
302 |
+
"loss": 0.7604,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.43156442102622006,
|
307 |
+
"grad_norm": 0.5903552392115103,
|
308 |
+
"learning_rate": 5e-06,
|
309 |
+
"loss": 0.762,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.44160080291055076,
|
314 |
+
"grad_norm": 0.6188002518762006,
|
315 |
+
"learning_rate": 5e-06,
|
316 |
+
"loss": 0.7608,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.45163718479488146,
|
321 |
+
"grad_norm": 0.5972767152570548,
|
322 |
+
"learning_rate": 5e-06,
|
323 |
+
"loss": 0.7498,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.46167356667921217,
|
328 |
+
"grad_norm": 0.8557407016909138,
|
329 |
+
"learning_rate": 5e-06,
|
330 |
+
"loss": 0.7557,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.47170994856354287,
|
335 |
+
"grad_norm": 0.5850889857419986,
|
336 |
+
"learning_rate": 5e-06,
|
337 |
+
"loss": 0.7506,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.4817463304478735,
|
342 |
+
"grad_norm": 0.6245054223045923,
|
343 |
+
"learning_rate": 5e-06,
|
344 |
+
"loss": 0.7577,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.4917827123322042,
|
349 |
+
"grad_norm": 0.8464030388596748,
|
350 |
+
"learning_rate": 5e-06,
|
351 |
+
"loss": 0.7524,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.5018190942165349,
|
356 |
+
"grad_norm": 0.5975779064483824,
|
357 |
+
"learning_rate": 5e-06,
|
358 |
+
"loss": 0.7542,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.5118554761008657,
|
363 |
+
"grad_norm": 0.5557828388284775,
|
364 |
+
"learning_rate": 5e-06,
|
365 |
+
"loss": 0.7562,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.5218918579851963,
|
370 |
+
"grad_norm": 0.5041527087050589,
|
371 |
+
"learning_rate": 5e-06,
|
372 |
+
"loss": 0.7505,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.5319282398695271,
|
377 |
+
"grad_norm": 0.606175554740277,
|
378 |
+
"learning_rate": 5e-06,
|
379 |
+
"loss": 0.7488,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.5419646217538577,
|
384 |
+
"grad_norm": 0.6932655836595772,
|
385 |
+
"learning_rate": 5e-06,
|
386 |
+
"loss": 0.7459,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.5520010036381884,
|
391 |
+
"grad_norm": 0.6342619574494085,
|
392 |
+
"learning_rate": 5e-06,
|
393 |
+
"loss": 0.748,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.5620373855225191,
|
398 |
+
"grad_norm": 0.7273685186875936,
|
399 |
+
"learning_rate": 5e-06,
|
400 |
+
"loss": 0.7514,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.5720737674068498,
|
405 |
+
"grad_norm": 0.6175109686722693,
|
406 |
+
"learning_rate": 5e-06,
|
407 |
+
"loss": 0.7487,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.5821101492911805,
|
412 |
+
"grad_norm": 0.5906521692541239,
|
413 |
+
"learning_rate": 5e-06,
|
414 |
+
"loss": 0.7444,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.5921465311755112,
|
419 |
+
"grad_norm": 0.5770083684995156,
|
420 |
+
"learning_rate": 5e-06,
|
421 |
+
"loss": 0.7463,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.602182913059842,
|
426 |
+
"grad_norm": 0.5611205193626524,
|
427 |
+
"learning_rate": 5e-06,
|
428 |
+
"loss": 0.7501,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.6122192949441726,
|
433 |
+
"grad_norm": 0.5626260973998957,
|
434 |
+
"learning_rate": 5e-06,
|
435 |
+
"loss": 0.7476,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.6222556768285034,
|
440 |
+
"grad_norm": 0.5359369641368554,
|
441 |
+
"learning_rate": 5e-06,
|
442 |
+
"loss": 0.7438,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.632292058712834,
|
447 |
+
"grad_norm": 0.5986655577379103,
|
448 |
+
"learning_rate": 5e-06,
|
449 |
+
"loss": 0.7486,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.6423284405971648,
|
454 |
+
"grad_norm": 0.6386177918361722,
|
455 |
+
"learning_rate": 5e-06,
|
456 |
+
"loss": 0.7485,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.6523648224814954,
|
461 |
+
"grad_norm": 0.5978315440058417,
|
462 |
+
"learning_rate": 5e-06,
|
463 |
+
"loss": 0.7433,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.6624012043658262,
|
468 |
+
"grad_norm": 0.6036098551107931,
|
469 |
+
"learning_rate": 5e-06,
|
470 |
+
"loss": 0.7455,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.6724375862501568,
|
475 |
+
"grad_norm": 0.5636202992429957,
|
476 |
+
"learning_rate": 5e-06,
|
477 |
+
"loss": 0.7466,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.6824739681344875,
|
482 |
+
"grad_norm": 0.702719868075261,
|
483 |
+
"learning_rate": 5e-06,
|
484 |
+
"loss": 0.7423,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.6925103500188182,
|
489 |
+
"grad_norm": 0.5833095780838476,
|
490 |
+
"learning_rate": 5e-06,
|
491 |
+
"loss": 0.7398,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.7025467319031489,
|
496 |
+
"grad_norm": 0.6308085334601381,
|
497 |
+
"learning_rate": 5e-06,
|
498 |
+
"loss": 0.7429,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.7125831137874796,
|
503 |
+
"grad_norm": 0.5487784356318717,
|
504 |
+
"learning_rate": 5e-06,
|
505 |
+
"loss": 0.7411,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.7226194956718103,
|
510 |
+
"grad_norm": 0.5865151577104253,
|
511 |
+
"learning_rate": 5e-06,
|
512 |
+
"loss": 0.7428,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.732655877556141,
|
517 |
+
"grad_norm": 0.6872870216284236,
|
518 |
+
"learning_rate": 5e-06,
|
519 |
+
"loss": 0.7431,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.7426922594404717,
|
524 |
+
"grad_norm": 0.7183251325599549,
|
525 |
+
"learning_rate": 5e-06,
|
526 |
+
"loss": 0.7423,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.7527286413248024,
|
531 |
+
"grad_norm": 0.7454754048807214,
|
532 |
+
"learning_rate": 5e-06,
|
533 |
+
"loss": 0.7387,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.7627650232091331,
|
538 |
+
"grad_norm": 0.5531190685288089,
|
539 |
+
"learning_rate": 5e-06,
|
540 |
+
"loss": 0.743,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.7728014050934638,
|
545 |
+
"grad_norm": 0.5534601111291695,
|
546 |
+
"learning_rate": 5e-06,
|
547 |
+
"loss": 0.741,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.7828377869777945,
|
552 |
+
"grad_norm": 0.5724229278027059,
|
553 |
+
"learning_rate": 5e-06,
|
554 |
+
"loss": 0.742,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.7928741688621253,
|
559 |
+
"grad_norm": 0.5444775257450564,
|
560 |
+
"learning_rate": 5e-06,
|
561 |
+
"loss": 0.7375,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.8029105507464559,
|
566 |
+
"grad_norm": 0.5172792176589391,
|
567 |
+
"learning_rate": 5e-06,
|
568 |
+
"loss": 0.7387,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.8129469326307867,
|
573 |
+
"grad_norm": 0.5788117817392925,
|
574 |
+
"learning_rate": 5e-06,
|
575 |
+
"loss": 0.7376,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.8229833145151173,
|
580 |
+
"grad_norm": 0.5261510224866858,
|
581 |
+
"learning_rate": 5e-06,
|
582 |
+
"loss": 0.739,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.833019696399448,
|
587 |
+
"grad_norm": 0.5280046534368359,
|
588 |
+
"learning_rate": 5e-06,
|
589 |
+
"loss": 0.7359,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.8430560782837787,
|
594 |
+
"grad_norm": 0.5641435748973659,
|
595 |
+
"learning_rate": 5e-06,
|
596 |
+
"loss": 0.7349,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.8530924601681094,
|
601 |
+
"grad_norm": 0.557571684728077,
|
602 |
+
"learning_rate": 5e-06,
|
603 |
+
"loss": 0.7365,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.8631288420524401,
|
608 |
+
"grad_norm": 0.6296144133240885,
|
609 |
+
"learning_rate": 5e-06,
|
610 |
+
"loss": 0.7373,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.8731652239367708,
|
615 |
+
"grad_norm": 0.5966607955551202,
|
616 |
+
"learning_rate": 5e-06,
|
617 |
+
"loss": 0.7353,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.8832016058211015,
|
622 |
+
"grad_norm": 0.5563914474354427,
|
623 |
+
"learning_rate": 5e-06,
|
624 |
+
"loss": 0.7353,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.8932379877054322,
|
629 |
+
"grad_norm": 0.536620041860774,
|
630 |
+
"learning_rate": 5e-06,
|
631 |
+
"loss": 0.7338,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.9032743695897629,
|
636 |
+
"grad_norm": 0.5387289422962349,
|
637 |
+
"learning_rate": 5e-06,
|
638 |
+
"loss": 0.7372,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.9133107514740936,
|
643 |
+
"grad_norm": 0.6013347978585226,
|
644 |
+
"learning_rate": 5e-06,
|
645 |
+
"loss": 0.7337,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.9233471333584243,
|
650 |
+
"grad_norm": 0.583886043468759,
|
651 |
+
"learning_rate": 5e-06,
|
652 |
+
"loss": 0.7336,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.933383515242755,
|
657 |
+
"grad_norm": 0.5382696935521819,
|
658 |
+
"learning_rate": 5e-06,
|
659 |
+
"loss": 0.7368,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.9434198971270857,
|
664 |
+
"grad_norm": 0.5653997036590966,
|
665 |
+
"learning_rate": 5e-06,
|
666 |
+
"loss": 0.7345,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.9534562790114164,
|
671 |
+
"grad_norm": 0.6567632931315763,
|
672 |
+
"learning_rate": 5e-06,
|
673 |
+
"loss": 0.7304,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.963492660895747,
|
678 |
+
"grad_norm": 0.6418916205752738,
|
679 |
+
"learning_rate": 5e-06,
|
680 |
+
"loss": 0.7301,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.9735290427800778,
|
685 |
+
"grad_norm": 0.6530499607318279,
|
686 |
+
"learning_rate": 5e-06,
|
687 |
+
"loss": 0.7387,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.9835654246644084,
|
692 |
+
"grad_norm": 0.5551081098759132,
|
693 |
+
"learning_rate": 5e-06,
|
694 |
+
"loss": 0.7333,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.9936018065487392,
|
699 |
+
"grad_norm": 0.6077836691860066,
|
700 |
+
"learning_rate": 5e-06,
|
701 |
+
"loss": 0.7336,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.9996236356793377,
|
706 |
+
"eval_loss": 0.7306540608406067,
|
707 |
+
"eval_runtime": 710.0823,
|
708 |
+
"eval_samples_per_second": 37.811,
|
709 |
+
"eval_steps_per_second": 0.591,
|
710 |
+
"step": 996
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.0036381884330698,
|
714 |
+
"grad_norm": 0.7501884083987931,
|
715 |
+
"learning_rate": 5e-06,
|
716 |
+
"loss": 0.7631,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.0136745703174006,
|
721 |
+
"grad_norm": 0.6377477928653016,
|
722 |
+
"learning_rate": 5e-06,
|
723 |
+
"loss": 0.6949,
|
724 |
+
"step": 1010
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 1.0237109522017314,
|
728 |
+
"grad_norm": 0.5049710429815633,
|
729 |
+
"learning_rate": 5e-06,
|
730 |
+
"loss": 0.6968,
|
731 |
+
"step": 1020
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 1.033747334086062,
|
735 |
+
"grad_norm": 0.6837967725702919,
|
736 |
+
"learning_rate": 5e-06,
|
737 |
+
"loss": 0.6905,
|
738 |
+
"step": 1030
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 1.0437837159703927,
|
742 |
+
"grad_norm": 0.5356223402685194,
|
743 |
+
"learning_rate": 5e-06,
|
744 |
+
"loss": 0.6922,
|
745 |
+
"step": 1040
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 1.0538200978547234,
|
749 |
+
"grad_norm": 0.8370676577254016,
|
750 |
+
"learning_rate": 5e-06,
|
751 |
+
"loss": 0.6901,
|
752 |
+
"step": 1050
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 1.0638564797390542,
|
756 |
+
"grad_norm": 0.6105636596448625,
|
757 |
+
"learning_rate": 5e-06,
|
758 |
+
"loss": 0.6922,
|
759 |
+
"step": 1060
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 1.0738928616233847,
|
763 |
+
"grad_norm": 0.5927877282574158,
|
764 |
+
"learning_rate": 5e-06,
|
765 |
+
"loss": 0.6979,
|
766 |
+
"step": 1070
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 1.0839292435077155,
|
770 |
+
"grad_norm": 0.540102358596148,
|
771 |
+
"learning_rate": 5e-06,
|
772 |
+
"loss": 0.6958,
|
773 |
+
"step": 1080
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.0939656253920462,
|
777 |
+
"grad_norm": 0.59126294445945,
|
778 |
+
"learning_rate": 5e-06,
|
779 |
+
"loss": 0.6931,
|
780 |
+
"step": 1090
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 1.1040020072763768,
|
784 |
+
"grad_norm": 0.6608825970633089,
|
785 |
+
"learning_rate": 5e-06,
|
786 |
+
"loss": 0.6937,
|
787 |
+
"step": 1100
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 1.1140383891607075,
|
791 |
+
"grad_norm": 0.5164144607050836,
|
792 |
+
"learning_rate": 5e-06,
|
793 |
+
"loss": 0.6917,
|
794 |
+
"step": 1110
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.1240747710450383,
|
798 |
+
"grad_norm": 0.5814527717684509,
|
799 |
+
"learning_rate": 5e-06,
|
800 |
+
"loss": 0.6972,
|
801 |
+
"step": 1120
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 1.134111152929369,
|
805 |
+
"grad_norm": 0.8029370829094067,
|
806 |
+
"learning_rate": 5e-06,
|
807 |
+
"loss": 0.6911,
|
808 |
+
"step": 1130
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 1.1441475348136996,
|
812 |
+
"grad_norm": 0.5560867302991094,
|
813 |
+
"learning_rate": 5e-06,
|
814 |
+
"loss": 0.6934,
|
815 |
+
"step": 1140
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 1.1541839166980303,
|
819 |
+
"grad_norm": 0.5562556075209857,
|
820 |
+
"learning_rate": 5e-06,
|
821 |
+
"loss": 0.6966,
|
822 |
+
"step": 1150
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 1.164220298582361,
|
826 |
+
"grad_norm": 0.5466240170135728,
|
827 |
+
"learning_rate": 5e-06,
|
828 |
+
"loss": 0.6905,
|
829 |
+
"step": 1160
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 1.1742566804666918,
|
833 |
+
"grad_norm": 0.6181691352555871,
|
834 |
+
"learning_rate": 5e-06,
|
835 |
+
"loss": 0.6949,
|
836 |
+
"step": 1170
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 1.1842930623510224,
|
840 |
+
"grad_norm": 0.5816875585540926,
|
841 |
+
"learning_rate": 5e-06,
|
842 |
+
"loss": 0.6982,
|
843 |
+
"step": 1180
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 1.1943294442353531,
|
847 |
+
"grad_norm": 0.6682656613454141,
|
848 |
+
"learning_rate": 5e-06,
|
849 |
+
"loss": 0.6975,
|
850 |
+
"step": 1190
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 1.204365826119684,
|
854 |
+
"grad_norm": 0.5227039044223272,
|
855 |
+
"learning_rate": 5e-06,
|
856 |
+
"loss": 0.6938,
|
857 |
+
"step": 1200
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 1.2144022080040147,
|
861 |
+
"grad_norm": 0.5934796942110975,
|
862 |
+
"learning_rate": 5e-06,
|
863 |
+
"loss": 0.6928,
|
864 |
+
"step": 1210
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 1.2244385898883452,
|
868 |
+
"grad_norm": 0.7797726771495517,
|
869 |
+
"learning_rate": 5e-06,
|
870 |
+
"loss": 0.6966,
|
871 |
+
"step": 1220
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 1.234474971772676,
|
875 |
+
"grad_norm": 0.529604849325101,
|
876 |
+
"learning_rate": 5e-06,
|
877 |
+
"loss": 0.6923,
|
878 |
+
"step": 1230
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.2445113536570067,
|
882 |
+
"grad_norm": 0.6023982359465729,
|
883 |
+
"learning_rate": 5e-06,
|
884 |
+
"loss": 0.6945,
|
885 |
+
"step": 1240
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 1.2545477355413372,
|
889 |
+
"grad_norm": 0.5560385701612578,
|
890 |
+
"learning_rate": 5e-06,
|
891 |
+
"loss": 0.6944,
|
892 |
+
"step": 1250
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 1.264584117425668,
|
896 |
+
"grad_norm": 0.5283876353062209,
|
897 |
+
"learning_rate": 5e-06,
|
898 |
+
"loss": 0.6959,
|
899 |
+
"step": 1260
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 1.2746204993099988,
|
903 |
+
"grad_norm": 0.673569525320333,
|
904 |
+
"learning_rate": 5e-06,
|
905 |
+
"loss": 0.6957,
|
906 |
+
"step": 1270
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 1.2846568811943295,
|
910 |
+
"grad_norm": 0.5956349315336121,
|
911 |
+
"learning_rate": 5e-06,
|
912 |
+
"loss": 0.6919,
|
913 |
+
"step": 1280
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 1.29469326307866,
|
917 |
+
"grad_norm": 0.5672304692349656,
|
918 |
+
"learning_rate": 5e-06,
|
919 |
+
"loss": 0.6886,
|
920 |
+
"step": 1290
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.3047296449629908,
|
924 |
+
"grad_norm": 0.5877274033488099,
|
925 |
+
"learning_rate": 5e-06,
|
926 |
+
"loss": 0.6962,
|
927 |
+
"step": 1300
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 1.3147660268473216,
|
931 |
+
"grad_norm": 0.6060436152781087,
|
932 |
+
"learning_rate": 5e-06,
|
933 |
+
"loss": 0.6972,
|
934 |
+
"step": 1310
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 1.3248024087316521,
|
938 |
+
"grad_norm": 0.566578140937884,
|
939 |
+
"learning_rate": 5e-06,
|
940 |
+
"loss": 0.6929,
|
941 |
+
"step": 1320
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 1.3348387906159829,
|
945 |
+
"grad_norm": 0.5294558357936279,
|
946 |
+
"learning_rate": 5e-06,
|
947 |
+
"loss": 0.6879,
|
948 |
+
"step": 1330
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 1.3448751725003136,
|
952 |
+
"grad_norm": 0.6237162250745834,
|
953 |
+
"learning_rate": 5e-06,
|
954 |
+
"loss": 0.6963,
|
955 |
+
"step": 1340
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 1.3549115543846444,
|
959 |
+
"grad_norm": 0.5430804692697989,
|
960 |
+
"learning_rate": 5e-06,
|
961 |
+
"loss": 0.6879,
|
962 |
+
"step": 1350
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.3649479362689751,
|
966 |
+
"grad_norm": 0.7283462410509066,
|
967 |
+
"learning_rate": 5e-06,
|
968 |
+
"loss": 0.6976,
|
969 |
+
"step": 1360
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.3749843181533057,
|
973 |
+
"grad_norm": 0.6917759789030041,
|
974 |
+
"learning_rate": 5e-06,
|
975 |
+
"loss": 0.6852,
|
976 |
+
"step": 1370
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 1.3850207000376364,
|
980 |
+
"grad_norm": 0.5567789537021975,
|
981 |
+
"learning_rate": 5e-06,
|
982 |
+
"loss": 0.6948,
|
983 |
+
"step": 1380
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 1.3950570819219672,
|
987 |
+
"grad_norm": 0.5454605064190993,
|
988 |
+
"learning_rate": 5e-06,
|
989 |
+
"loss": 0.6954,
|
990 |
+
"step": 1390
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 1.4050934638062977,
|
994 |
+
"grad_norm": 0.5900124519339845,
|
995 |
+
"learning_rate": 5e-06,
|
996 |
+
"loss": 0.6921,
|
997 |
+
"step": 1400
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 1.4151298456906285,
|
1001 |
+
"grad_norm": 0.5690895340205371,
|
1002 |
+
"learning_rate": 5e-06,
|
1003 |
+
"loss": 0.6907,
|
1004 |
+
"step": 1410
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 1.4251662275749593,
|
1008 |
+
"grad_norm": 0.5672995415143901,
|
1009 |
+
"learning_rate": 5e-06,
|
1010 |
+
"loss": 0.6924,
|
1011 |
+
"step": 1420
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 1.43520260945929,
|
1015 |
+
"grad_norm": 0.5311142120372314,
|
1016 |
+
"learning_rate": 5e-06,
|
1017 |
+
"loss": 0.696,
|
1018 |
+
"step": 1430
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 1.4452389913436205,
|
1022 |
+
"grad_norm": 0.5999039652092255,
|
1023 |
+
"learning_rate": 5e-06,
|
1024 |
+
"loss": 0.6902,
|
1025 |
+
"step": 1440
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 1.4552753732279513,
|
1029 |
+
"grad_norm": 0.5933508701370325,
|
1030 |
+
"learning_rate": 5e-06,
|
1031 |
+
"loss": 0.6921,
|
1032 |
+
"step": 1450
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 1.465311755112282,
|
1036 |
+
"grad_norm": 0.5165015340634761,
|
1037 |
+
"learning_rate": 5e-06,
|
1038 |
+
"loss": 0.6926,
|
1039 |
+
"step": 1460
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 1.4753481369966126,
|
1043 |
+
"grad_norm": 0.542825456215961,
|
1044 |
+
"learning_rate": 5e-06,
|
1045 |
+
"loss": 0.6924,
|
1046 |
+
"step": 1470
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 1.4853845188809434,
|
1050 |
+
"grad_norm": 0.5173942736182007,
|
1051 |
+
"learning_rate": 5e-06,
|
1052 |
+
"loss": 0.6889,
|
1053 |
+
"step": 1480
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 1.4954209007652741,
|
1057 |
+
"grad_norm": 0.5444379147874959,
|
1058 |
+
"learning_rate": 5e-06,
|
1059 |
+
"loss": 0.6895,
|
1060 |
+
"step": 1490
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 1.5054572826496049,
|
1064 |
+
"grad_norm": 0.5186245031758688,
|
1065 |
+
"learning_rate": 5e-06,
|
1066 |
+
"loss": 0.6955,
|
1067 |
+
"step": 1500
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 1.5154936645339356,
|
1071 |
+
"grad_norm": 0.5273924158023976,
|
1072 |
+
"learning_rate": 5e-06,
|
1073 |
+
"loss": 0.6971,
|
1074 |
+
"step": 1510
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 1.5255300464182662,
|
1078 |
+
"grad_norm": 0.5676022244683365,
|
1079 |
+
"learning_rate": 5e-06,
|
1080 |
+
"loss": 0.695,
|
1081 |
+
"step": 1520
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 1.535566428302597,
|
1085 |
+
"grad_norm": 0.6271761201828187,
|
1086 |
+
"learning_rate": 5e-06,
|
1087 |
+
"loss": 0.6917,
|
1088 |
+
"step": 1530
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 1.5456028101869275,
|
1092 |
+
"grad_norm": 0.6124159982732021,
|
1093 |
+
"learning_rate": 5e-06,
|
1094 |
+
"loss": 0.6911,
|
1095 |
+
"step": 1540
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 1.5556391920712582,
|
1099 |
+
"grad_norm": 0.6862261314401948,
|
1100 |
+
"learning_rate": 5e-06,
|
1101 |
+
"loss": 0.6864,
|
1102 |
+
"step": 1550
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 1.565675573955589,
|
1106 |
+
"grad_norm": 0.6275955880807454,
|
1107 |
+
"learning_rate": 5e-06,
|
1108 |
+
"loss": 0.6936,
|
1109 |
+
"step": 1560
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 1.5757119558399197,
|
1113 |
+
"grad_norm": 0.6289883161946416,
|
1114 |
+
"learning_rate": 5e-06,
|
1115 |
+
"loss": 0.6894,
|
1116 |
+
"step": 1570
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 1.5857483377242505,
|
1120 |
+
"grad_norm": 0.580105480957792,
|
1121 |
+
"learning_rate": 5e-06,
|
1122 |
+
"loss": 0.693,
|
1123 |
+
"step": 1580
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 1.5957847196085813,
|
1127 |
+
"grad_norm": 0.5560879464825351,
|
1128 |
+
"learning_rate": 5e-06,
|
1129 |
+
"loss": 0.692,
|
1130 |
+
"step": 1590
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 1.6058211014929118,
|
1134 |
+
"grad_norm": 0.58969515178897,
|
1135 |
+
"learning_rate": 5e-06,
|
1136 |
+
"loss": 0.6916,
|
1137 |
+
"step": 1600
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 1.6158574833772426,
|
1141 |
+
"grad_norm": 0.626694720233302,
|
1142 |
+
"learning_rate": 5e-06,
|
1143 |
+
"loss": 0.6867,
|
1144 |
+
"step": 1610
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 1.625893865261573,
|
1148 |
+
"grad_norm": 0.5549455637786119,
|
1149 |
+
"learning_rate": 5e-06,
|
1150 |
+
"loss": 0.6897,
|
1151 |
+
"step": 1620
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 1.6359302471459038,
|
1155 |
+
"grad_norm": 0.5938553058669086,
|
1156 |
+
"learning_rate": 5e-06,
|
1157 |
+
"loss": 0.6921,
|
1158 |
+
"step": 1630
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 1.6459666290302346,
|
1162 |
+
"grad_norm": 0.5753903253177306,
|
1163 |
+
"learning_rate": 5e-06,
|
1164 |
+
"loss": 0.6848,
|
1165 |
+
"step": 1640
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 1.6560030109145654,
|
1169 |
+
"grad_norm": 0.5191405989431156,
|
1170 |
+
"learning_rate": 5e-06,
|
1171 |
+
"loss": 0.69,
|
1172 |
+
"step": 1650
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 1.6660393927988961,
|
1176 |
+
"grad_norm": 0.5561359520494403,
|
1177 |
+
"learning_rate": 5e-06,
|
1178 |
+
"loss": 0.6986,
|
1179 |
+
"step": 1660
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 1.6760757746832267,
|
1183 |
+
"grad_norm": 0.6203674148098636,
|
1184 |
+
"learning_rate": 5e-06,
|
1185 |
+
"loss": 0.6908,
|
1186 |
+
"step": 1670
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 1.6861121565675574,
|
1190 |
+
"grad_norm": 0.6125267283499654,
|
1191 |
+
"learning_rate": 5e-06,
|
1192 |
+
"loss": 0.6914,
|
1193 |
+
"step": 1680
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 1.696148538451888,
|
1197 |
+
"grad_norm": 0.6670104437553405,
|
1198 |
+
"learning_rate": 5e-06,
|
1199 |
+
"loss": 0.6921,
|
1200 |
+
"step": 1690
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 1.7061849203362187,
|
1204 |
+
"grad_norm": 0.6164770721352887,
|
1205 |
+
"learning_rate": 5e-06,
|
1206 |
+
"loss": 0.6906,
|
1207 |
+
"step": 1700
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 1.7162213022205495,
|
1211 |
+
"grad_norm": 0.5419884156579401,
|
1212 |
+
"learning_rate": 5e-06,
|
1213 |
+
"loss": 0.6943,
|
1214 |
+
"step": 1710
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 1.7262576841048802,
|
1218 |
+
"grad_norm": 0.5735849533542166,
|
1219 |
+
"learning_rate": 5e-06,
|
1220 |
+
"loss": 0.69,
|
1221 |
+
"step": 1720
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 1.736294065989211,
|
1225 |
+
"grad_norm": 0.5297233454269522,
|
1226 |
+
"learning_rate": 5e-06,
|
1227 |
+
"loss": 0.6892,
|
1228 |
+
"step": 1730
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 1.7463304478735417,
|
1232 |
+
"grad_norm": 0.5393616139715296,
|
1233 |
+
"learning_rate": 5e-06,
|
1234 |
+
"loss": 0.6915,
|
1235 |
+
"step": 1740
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 1.7563668297578723,
|
1239 |
+
"grad_norm": 0.5643636572625912,
|
1240 |
+
"learning_rate": 5e-06,
|
1241 |
+
"loss": 0.6946,
|
1242 |
+
"step": 1750
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 1.7664032116422028,
|
1246 |
+
"grad_norm": 0.5884196950446513,
|
1247 |
+
"learning_rate": 5e-06,
|
1248 |
+
"loss": 0.6888,
|
1249 |
+
"step": 1760
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 1.7764395935265336,
|
1253 |
+
"grad_norm": 0.5236101003130557,
|
1254 |
+
"learning_rate": 5e-06,
|
1255 |
+
"loss": 0.687,
|
1256 |
+
"step": 1770
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 1.7864759754108643,
|
1260 |
+
"grad_norm": 0.5035132462272621,
|
1261 |
+
"learning_rate": 5e-06,
|
1262 |
+
"loss": 0.6888,
|
1263 |
+
"step": 1780
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 1.796512357295195,
|
1267 |
+
"grad_norm": 0.503023782309955,
|
1268 |
+
"learning_rate": 5e-06,
|
1269 |
+
"loss": 0.697,
|
1270 |
+
"step": 1790
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 1.8065487391795259,
|
1274 |
+
"grad_norm": 0.6043844268122752,
|
1275 |
+
"learning_rate": 5e-06,
|
1276 |
+
"loss": 0.6939,
|
1277 |
+
"step": 1800
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 1.8165851210638566,
|
1281 |
+
"grad_norm": 0.5232601740320375,
|
1282 |
+
"learning_rate": 5e-06,
|
1283 |
+
"loss": 0.6904,
|
1284 |
+
"step": 1810
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 1.8266215029481871,
|
1288 |
+
"grad_norm": 0.5370830872283877,
|
1289 |
+
"learning_rate": 5e-06,
|
1290 |
+
"loss": 0.6911,
|
1291 |
+
"step": 1820
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 1.836657884832518,
|
1295 |
+
"grad_norm": 0.6459700462195024,
|
1296 |
+
"learning_rate": 5e-06,
|
1297 |
+
"loss": 0.6882,
|
1298 |
+
"step": 1830
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 1.8466942667168484,
|
1302 |
+
"grad_norm": 0.582019267718641,
|
1303 |
+
"learning_rate": 5e-06,
|
1304 |
+
"loss": 0.6922,
|
1305 |
+
"step": 1840
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 1.8567306486011792,
|
1309 |
+
"grad_norm": 0.5870687122095531,
|
1310 |
+
"learning_rate": 5e-06,
|
1311 |
+
"loss": 0.6922,
|
1312 |
+
"step": 1850
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 1.86676703048551,
|
1316 |
+
"grad_norm": 0.5078692726109669,
|
1317 |
+
"learning_rate": 5e-06,
|
1318 |
+
"loss": 0.6885,
|
1319 |
+
"step": 1860
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 1.8768034123698407,
|
1323 |
+
"grad_norm": 0.5040649883447891,
|
1324 |
+
"learning_rate": 5e-06,
|
1325 |
+
"loss": 0.6881,
|
1326 |
+
"step": 1870
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 1.8868397942541715,
|
1330 |
+
"grad_norm": 0.4995959267347782,
|
1331 |
+
"learning_rate": 5e-06,
|
1332 |
+
"loss": 0.6862,
|
1333 |
+
"step": 1880
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 1.8968761761385022,
|
1337 |
+
"grad_norm": 0.5881241901658035,
|
1338 |
+
"learning_rate": 5e-06,
|
1339 |
+
"loss": 0.6917,
|
1340 |
+
"step": 1890
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 1.9069125580228328,
|
1344 |
+
"grad_norm": 0.5588343821948456,
|
1345 |
+
"learning_rate": 5e-06,
|
1346 |
+
"loss": 0.6888,
|
1347 |
+
"step": 1900
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 1.9169489399071633,
|
1351 |
+
"grad_norm": 0.4870751715972866,
|
1352 |
+
"learning_rate": 5e-06,
|
1353 |
+
"loss": 0.6872,
|
1354 |
+
"step": 1910
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 1.926985321791494,
|
1358 |
+
"grad_norm": 0.5735655591316463,
|
1359 |
+
"learning_rate": 5e-06,
|
1360 |
+
"loss": 0.6947,
|
1361 |
+
"step": 1920
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 1.9370217036758248,
|
1365 |
+
"grad_norm": 0.6085871436334919,
|
1366 |
+
"learning_rate": 5e-06,
|
1367 |
+
"loss": 0.6888,
|
1368 |
+
"step": 1930
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 1.9470580855601556,
|
1372 |
+
"grad_norm": 0.6006262589490265,
|
1373 |
+
"learning_rate": 5e-06,
|
1374 |
+
"loss": 0.6884,
|
1375 |
+
"step": 1940
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 1.9570944674444863,
|
1379 |
+
"grad_norm": 0.6341474482034111,
|
1380 |
+
"learning_rate": 5e-06,
|
1381 |
+
"loss": 0.6886,
|
1382 |
+
"step": 1950
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 1.967130849328817,
|
1386 |
+
"grad_norm": 0.5362807629078432,
|
1387 |
+
"learning_rate": 5e-06,
|
1388 |
+
"loss": 0.6873,
|
1389 |
+
"step": 1960
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 1.9771672312131476,
|
1393 |
+
"grad_norm": 0.4940952174490118,
|
1394 |
+
"learning_rate": 5e-06,
|
1395 |
+
"loss": 0.6895,
|
1396 |
+
"step": 1970
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 1.9872036130974784,
|
1400 |
+
"grad_norm": 0.5068555383392377,
|
1401 |
+
"learning_rate": 5e-06,
|
1402 |
+
"loss": 0.6886,
|
1403 |
+
"step": 1980
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 1.997239994981809,
|
1407 |
+
"grad_norm": 0.5115531434616939,
|
1408 |
+
"learning_rate": 5e-06,
|
1409 |
+
"loss": 0.6923,
|
1410 |
+
"step": 1990
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 1.999247271358675,
|
1414 |
+
"eval_loss": 0.7167317867279053,
|
1415 |
+
"eval_runtime": 681.5165,
|
1416 |
+
"eval_samples_per_second": 39.396,
|
1417 |
+
"eval_steps_per_second": 0.616,
|
1418 |
+
"step": 1992
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 2.0072763768661397,
|
1422 |
+
"grad_norm": 0.7464092668086445,
|
1423 |
+
"learning_rate": 5e-06,
|
1424 |
+
"loss": 0.7021,
|
1425 |
+
"step": 2000
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 2.0173127587504704,
|
1429 |
+
"grad_norm": 0.6285168143241044,
|
1430 |
+
"learning_rate": 5e-06,
|
1431 |
+
"loss": 0.6464,
|
1432 |
+
"step": 2010
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 2.027349140634801,
|
1436 |
+
"grad_norm": 0.6153973121048567,
|
1437 |
+
"learning_rate": 5e-06,
|
1438 |
+
"loss": 0.6468,
|
1439 |
+
"step": 2020
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 2.037385522519132,
|
1443 |
+
"grad_norm": 0.5873302210415512,
|
1444 |
+
"learning_rate": 5e-06,
|
1445 |
+
"loss": 0.6466,
|
1446 |
+
"step": 2030
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 2.0474219044034627,
|
1450 |
+
"grad_norm": 0.6320791509681155,
|
1451 |
+
"learning_rate": 5e-06,
|
1452 |
+
"loss": 0.645,
|
1453 |
+
"step": 2040
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"epoch": 2.057458286287793,
|
1457 |
+
"grad_norm": 0.7492672540101699,
|
1458 |
+
"learning_rate": 5e-06,
|
1459 |
+
"loss": 0.6484,
|
1460 |
+
"step": 2050
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 2.067494668172124,
|
1464 |
+
"grad_norm": 0.6049252570937941,
|
1465 |
+
"learning_rate": 5e-06,
|
1466 |
+
"loss": 0.6479,
|
1467 |
+
"step": 2060
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 2.0775310500564546,
|
1471 |
+
"grad_norm": 0.5658472447863507,
|
1472 |
+
"learning_rate": 5e-06,
|
1473 |
+
"loss": 0.646,
|
1474 |
+
"step": 2070
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 2.0875674319407853,
|
1478 |
+
"grad_norm": 0.5516870136698201,
|
1479 |
+
"learning_rate": 5e-06,
|
1480 |
+
"loss": 0.6492,
|
1481 |
+
"step": 2080
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 2.097603813825116,
|
1485 |
+
"grad_norm": 0.7029586116565276,
|
1486 |
+
"learning_rate": 5e-06,
|
1487 |
+
"loss": 0.6538,
|
1488 |
+
"step": 2090
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 2.107640195709447,
|
1492 |
+
"grad_norm": 0.5501781567288918,
|
1493 |
+
"learning_rate": 5e-06,
|
1494 |
+
"loss": 0.6468,
|
1495 |
+
"step": 2100
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 2.1176765775937776,
|
1499 |
+
"grad_norm": 0.5732859435604044,
|
1500 |
+
"learning_rate": 5e-06,
|
1501 |
+
"loss": 0.6468,
|
1502 |
+
"step": 2110
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 2.1277129594781083,
|
1506 |
+
"grad_norm": 0.6097094231081762,
|
1507 |
+
"learning_rate": 5e-06,
|
1508 |
+
"loss": 0.645,
|
1509 |
+
"step": 2120
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 2.1377493413624387,
|
1513 |
+
"grad_norm": 0.6168934436640728,
|
1514 |
+
"learning_rate": 5e-06,
|
1515 |
+
"loss": 0.6495,
|
1516 |
+
"step": 2130
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 2.1477857232467694,
|
1520 |
+
"grad_norm": 0.5791030315614372,
|
1521 |
+
"learning_rate": 5e-06,
|
1522 |
+
"loss": 0.6494,
|
1523 |
+
"step": 2140
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 2.1578221051311,
|
1527 |
+
"grad_norm": 0.5248289813751731,
|
1528 |
+
"learning_rate": 5e-06,
|
1529 |
+
"loss": 0.6502,
|
1530 |
+
"step": 2150
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 2.167858487015431,
|
1534 |
+
"grad_norm": 0.5339345181224099,
|
1535 |
+
"learning_rate": 5e-06,
|
1536 |
+
"loss": 0.6469,
|
1537 |
+
"step": 2160
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 2.1778948688997617,
|
1541 |
+
"grad_norm": 0.5503349261990413,
|
1542 |
+
"learning_rate": 5e-06,
|
1543 |
+
"loss": 0.6445,
|
1544 |
+
"step": 2170
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 2.1879312507840925,
|
1548 |
+
"grad_norm": 0.5464800148102408,
|
1549 |
+
"learning_rate": 5e-06,
|
1550 |
+
"loss": 0.6506,
|
1551 |
+
"step": 2180
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 2.197967632668423,
|
1555 |
+
"grad_norm": 0.5247947975936182,
|
1556 |
+
"learning_rate": 5e-06,
|
1557 |
+
"loss": 0.6527,
|
1558 |
+
"step": 2190
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 2.2080040145527535,
|
1562 |
+
"grad_norm": 0.5606999830634875,
|
1563 |
+
"learning_rate": 5e-06,
|
1564 |
+
"loss": 0.6493,
|
1565 |
+
"step": 2200
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 2.2180403964370843,
|
1569 |
+
"grad_norm": 0.5331049457160831,
|
1570 |
+
"learning_rate": 5e-06,
|
1571 |
+
"loss": 0.6537,
|
1572 |
+
"step": 2210
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 2.228076778321415,
|
1576 |
+
"grad_norm": 0.5988937144831796,
|
1577 |
+
"learning_rate": 5e-06,
|
1578 |
+
"loss": 0.6491,
|
1579 |
+
"step": 2220
|
1580 |
+
},
|
1581 |
+
{
|
1582 |
+
"epoch": 2.238113160205746,
|
1583 |
+
"grad_norm": 0.5493199529484449,
|
1584 |
+
"learning_rate": 5e-06,
|
1585 |
+
"loss": 0.6497,
|
1586 |
+
"step": 2230
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 2.2481495420900766,
|
1590 |
+
"grad_norm": 0.5391276137070077,
|
1591 |
+
"learning_rate": 5e-06,
|
1592 |
+
"loss": 0.6479,
|
1593 |
+
"step": 2240
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 2.2581859239744073,
|
1597 |
+
"grad_norm": 0.5468874755147779,
|
1598 |
+
"learning_rate": 5e-06,
|
1599 |
+
"loss": 0.6481,
|
1600 |
+
"step": 2250
|
1601 |
+
},
|
1602 |
+
{
|
1603 |
+
"epoch": 2.268222305858738,
|
1604 |
+
"grad_norm": 0.6698860969319781,
|
1605 |
+
"learning_rate": 5e-06,
|
1606 |
+
"loss": 0.6496,
|
1607 |
+
"step": 2260
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 2.278258687743069,
|
1611 |
+
"grad_norm": 0.5534091734548499,
|
1612 |
+
"learning_rate": 5e-06,
|
1613 |
+
"loss": 0.6495,
|
1614 |
+
"step": 2270
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 2.288295069627399,
|
1618 |
+
"grad_norm": 0.5251666746216365,
|
1619 |
+
"learning_rate": 5e-06,
|
1620 |
+
"loss": 0.6488,
|
1621 |
+
"step": 2280
|
1622 |
+
},
|
1623 |
+
{
|
1624 |
+
"epoch": 2.29833145151173,
|
1625 |
+
"grad_norm": 0.6041634029692523,
|
1626 |
+
"learning_rate": 5e-06,
|
1627 |
+
"loss": 0.6463,
|
1628 |
+
"step": 2290
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 2.3083678333960607,
|
1632 |
+
"grad_norm": 0.6700682402301694,
|
1633 |
+
"learning_rate": 5e-06,
|
1634 |
+
"loss": 0.6512,
|
1635 |
+
"step": 2300
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 2.3184042152803914,
|
1639 |
+
"grad_norm": 0.5507167873654453,
|
1640 |
+
"learning_rate": 5e-06,
|
1641 |
+
"loss": 0.6531,
|
1642 |
+
"step": 2310
|
1643 |
+
},
|
1644 |
+
{
|
1645 |
+
"epoch": 2.328440597164722,
|
1646 |
+
"grad_norm": 0.7110576199813733,
|
1647 |
+
"learning_rate": 5e-06,
|
1648 |
+
"loss": 0.651,
|
1649 |
+
"step": 2320
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 2.338476979049053,
|
1653 |
+
"grad_norm": 0.547011003517586,
|
1654 |
+
"learning_rate": 5e-06,
|
1655 |
+
"loss": 0.6496,
|
1656 |
+
"step": 2330
|
1657 |
+
},
|
1658 |
+
{
|
1659 |
+
"epoch": 2.3485133609333837,
|
1660 |
+
"grad_norm": 0.5277892887616297,
|
1661 |
+
"learning_rate": 5e-06,
|
1662 |
+
"loss": 0.6478,
|
1663 |
+
"step": 2340
|
1664 |
+
},
|
1665 |
+
{
|
1666 |
+
"epoch": 2.358549742817714,
|
1667 |
+
"grad_norm": 0.5418890015733175,
|
1668 |
+
"learning_rate": 5e-06,
|
1669 |
+
"loss": 0.6474,
|
1670 |
+
"step": 2350
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 2.3685861247020448,
|
1674 |
+
"grad_norm": 0.5453644592494074,
|
1675 |
+
"learning_rate": 5e-06,
|
1676 |
+
"loss": 0.6513,
|
1677 |
+
"step": 2360
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 2.3786225065863755,
|
1681 |
+
"grad_norm": 0.5570648512157045,
|
1682 |
+
"learning_rate": 5e-06,
|
1683 |
+
"loss": 0.6549,
|
1684 |
+
"step": 2370
|
1685 |
+
},
|
1686 |
+
{
|
1687 |
+
"epoch": 2.3886588884707063,
|
1688 |
+
"grad_norm": 0.6533123491533362,
|
1689 |
+
"learning_rate": 5e-06,
|
1690 |
+
"loss": 0.6517,
|
1691 |
+
"step": 2380
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 2.398695270355037,
|
1695 |
+
"grad_norm": 0.5514173498092635,
|
1696 |
+
"learning_rate": 5e-06,
|
1697 |
+
"loss": 0.6479,
|
1698 |
+
"step": 2390
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 2.408731652239368,
|
1702 |
+
"grad_norm": 0.6169109034186734,
|
1703 |
+
"learning_rate": 5e-06,
|
1704 |
+
"loss": 0.6497,
|
1705 |
+
"step": 2400
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"epoch": 2.4187680341236986,
|
1709 |
+
"grad_norm": 0.6092701719038681,
|
1710 |
+
"learning_rate": 5e-06,
|
1711 |
+
"loss": 0.6523,
|
1712 |
+
"step": 2410
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 2.4288044160080293,
|
1716 |
+
"grad_norm": 0.5995748884635175,
|
1717 |
+
"learning_rate": 5e-06,
|
1718 |
+
"loss": 0.653,
|
1719 |
+
"step": 2420
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 2.4388407978923596,
|
1723 |
+
"grad_norm": 0.5733910522734972,
|
1724 |
+
"learning_rate": 5e-06,
|
1725 |
+
"loss": 0.6482,
|
1726 |
+
"step": 2430
|
1727 |
+
},
|
1728 |
+
{
|
1729 |
+
"epoch": 2.4488771797766904,
|
1730 |
+
"grad_norm": 0.5191638101081872,
|
1731 |
+
"learning_rate": 5e-06,
|
1732 |
+
"loss": 0.656,
|
1733 |
+
"step": 2440
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 2.458913561661021,
|
1737 |
+
"grad_norm": 0.8798002303204917,
|
1738 |
+
"learning_rate": 5e-06,
|
1739 |
+
"loss": 0.6501,
|
1740 |
+
"step": 2450
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 2.468949943545352,
|
1744 |
+
"grad_norm": 0.5055430681257954,
|
1745 |
+
"learning_rate": 5e-06,
|
1746 |
+
"loss": 0.6526,
|
1747 |
+
"step": 2460
|
1748 |
+
},
|
1749 |
+
{
|
1750 |
+
"epoch": 2.4789863254296827,
|
1751 |
+
"grad_norm": 0.5305005320670955,
|
1752 |
+
"learning_rate": 5e-06,
|
1753 |
+
"loss": 0.6579,
|
1754 |
+
"step": 2470
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 2.4890227073140134,
|
1758 |
+
"grad_norm": 0.6181982492315344,
|
1759 |
+
"learning_rate": 5e-06,
|
1760 |
+
"loss": 0.6473,
|
1761 |
+
"step": 2480
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 2.499059089198344,
|
1765 |
+
"grad_norm": 0.6215467401287779,
|
1766 |
+
"learning_rate": 5e-06,
|
1767 |
+
"loss": 0.6511,
|
1768 |
+
"step": 2490
|
1769 |
+
},
|
1770 |
+
{
|
1771 |
+
"epoch": 2.5090954710826745,
|
1772 |
+
"grad_norm": 0.5729138634014542,
|
1773 |
+
"learning_rate": 5e-06,
|
1774 |
+
"loss": 0.6577,
|
1775 |
+
"step": 2500
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 2.5191318529670053,
|
1779 |
+
"grad_norm": 0.5393679833546277,
|
1780 |
+
"learning_rate": 5e-06,
|
1781 |
+
"loss": 0.6536,
|
1782 |
+
"step": 2510
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 2.529168234851336,
|
1786 |
+
"grad_norm": 0.534381658436043,
|
1787 |
+
"learning_rate": 5e-06,
|
1788 |
+
"loss": 0.6489,
|
1789 |
+
"step": 2520
|
1790 |
+
},
|
1791 |
+
{
|
1792 |
+
"epoch": 2.5392046167356668,
|
1793 |
+
"grad_norm": 0.539600655245499,
|
1794 |
+
"learning_rate": 5e-06,
|
1795 |
+
"loss": 0.6495,
|
1796 |
+
"step": 2530
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 2.5492409986199975,
|
1800 |
+
"grad_norm": 0.6226376194292436,
|
1801 |
+
"learning_rate": 5e-06,
|
1802 |
+
"loss": 0.651,
|
1803 |
+
"step": 2540
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 2.5592773805043283,
|
1807 |
+
"grad_norm": 0.5865717492190782,
|
1808 |
+
"learning_rate": 5e-06,
|
1809 |
+
"loss": 0.6541,
|
1810 |
+
"step": 2550
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 2.569313762388659,
|
1814 |
+
"grad_norm": 0.6438993538240664,
|
1815 |
+
"learning_rate": 5e-06,
|
1816 |
+
"loss": 0.6507,
|
1817 |
+
"step": 2560
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 2.57935014427299,
|
1821 |
+
"grad_norm": 0.7518127666950809,
|
1822 |
+
"learning_rate": 5e-06,
|
1823 |
+
"loss": 0.6499,
|
1824 |
+
"step": 2570
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 2.58938652615732,
|
1828 |
+
"grad_norm": 0.586864178840436,
|
1829 |
+
"learning_rate": 5e-06,
|
1830 |
+
"loss": 0.6616,
|
1831 |
+
"step": 2580
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 2.599422908041651,
|
1835 |
+
"grad_norm": 0.5941413788184908,
|
1836 |
+
"learning_rate": 5e-06,
|
1837 |
+
"loss": 0.6486,
|
1838 |
+
"step": 2590
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 2.6094592899259816,
|
1842 |
+
"grad_norm": 0.5451550588012898,
|
1843 |
+
"learning_rate": 5e-06,
|
1844 |
+
"loss": 0.6544,
|
1845 |
+
"step": 2600
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 2.6194956718103124,
|
1849 |
+
"grad_norm": 0.5147403638954634,
|
1850 |
+
"learning_rate": 5e-06,
|
1851 |
+
"loss": 0.6539,
|
1852 |
+
"step": 2610
|
1853 |
+
},
|
1854 |
+
{
|
1855 |
+
"epoch": 2.629532053694643,
|
1856 |
+
"grad_norm": 0.5467938780782444,
|
1857 |
+
"learning_rate": 5e-06,
|
1858 |
+
"loss": 0.6475,
|
1859 |
+
"step": 2620
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 2.639568435578974,
|
1863 |
+
"grad_norm": 0.5458940947855774,
|
1864 |
+
"learning_rate": 5e-06,
|
1865 |
+
"loss": 0.6501,
|
1866 |
+
"step": 2630
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 2.6496048174633042,
|
1870 |
+
"grad_norm": 0.600288340260203,
|
1871 |
+
"learning_rate": 5e-06,
|
1872 |
+
"loss": 0.6533,
|
1873 |
+
"step": 2640
|
1874 |
+
},
|
1875 |
+
{
|
1876 |
+
"epoch": 2.659641199347635,
|
1877 |
+
"grad_norm": 0.5329802788249394,
|
1878 |
+
"learning_rate": 5e-06,
|
1879 |
+
"loss": 0.6539,
|
1880 |
+
"step": 2650
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 2.6696775812319657,
|
1884 |
+
"grad_norm": 0.5494428968278945,
|
1885 |
+
"learning_rate": 5e-06,
|
1886 |
+
"loss": 0.6485,
|
1887 |
+
"step": 2660
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 2.6797139631162965,
|
1891 |
+
"grad_norm": 0.5583817948296362,
|
1892 |
+
"learning_rate": 5e-06,
|
1893 |
+
"loss": 0.6522,
|
1894 |
+
"step": 2670
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"epoch": 2.6897503450006273,
|
1898 |
+
"grad_norm": 0.5760005041925667,
|
1899 |
+
"learning_rate": 5e-06,
|
1900 |
+
"loss": 0.6513,
|
1901 |
+
"step": 2680
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 2.699786726884958,
|
1905 |
+
"grad_norm": 0.6094121074922789,
|
1906 |
+
"learning_rate": 5e-06,
|
1907 |
+
"loss": 0.6507,
|
1908 |
+
"step": 2690
|
1909 |
+
},
|
1910 |
+
{
|
1911 |
+
"epoch": 2.709823108769289,
|
1912 |
+
"grad_norm": 0.6168874365624798,
|
1913 |
+
"learning_rate": 5e-06,
|
1914 |
+
"loss": 0.6532,
|
1915 |
+
"step": 2700
|
1916 |
+
},
|
1917 |
+
{
|
1918 |
+
"epoch": 2.7198594906536195,
|
1919 |
+
"grad_norm": 0.5204111827775895,
|
1920 |
+
"learning_rate": 5e-06,
|
1921 |
+
"loss": 0.652,
|
1922 |
+
"step": 2710
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 2.7298958725379503,
|
1926 |
+
"grad_norm": 0.5414555391536807,
|
1927 |
+
"learning_rate": 5e-06,
|
1928 |
+
"loss": 0.6529,
|
1929 |
+
"step": 2720
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 2.7399322544222806,
|
1933 |
+
"grad_norm": 0.5343532711007503,
|
1934 |
+
"learning_rate": 5e-06,
|
1935 |
+
"loss": 0.6551,
|
1936 |
+
"step": 2730
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 2.7499686363066114,
|
1940 |
+
"grad_norm": 0.5730034177518993,
|
1941 |
+
"learning_rate": 5e-06,
|
1942 |
+
"loss": 0.6559,
|
1943 |
+
"step": 2740
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 2.760005018190942,
|
1947 |
+
"grad_norm": 0.5413799739509437,
|
1948 |
+
"learning_rate": 5e-06,
|
1949 |
+
"loss": 0.6536,
|
1950 |
+
"step": 2750
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 2.770041400075273,
|
1954 |
+
"grad_norm": 0.58185222058302,
|
1955 |
+
"learning_rate": 5e-06,
|
1956 |
+
"loss": 0.6607,
|
1957 |
+
"step": 2760
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 2.7800777819596036,
|
1961 |
+
"grad_norm": 0.5659358615987367,
|
1962 |
+
"learning_rate": 5e-06,
|
1963 |
+
"loss": 0.6532,
|
1964 |
+
"step": 2770
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 2.7901141638439344,
|
1968 |
+
"grad_norm": 0.5269963486852614,
|
1969 |
+
"learning_rate": 5e-06,
|
1970 |
+
"loss": 0.6516,
|
1971 |
+
"step": 2780
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 2.8001505457282647,
|
1975 |
+
"grad_norm": 0.6056482620803397,
|
1976 |
+
"learning_rate": 5e-06,
|
1977 |
+
"loss": 0.6552,
|
1978 |
+
"step": 2790
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 2.8101869276125955,
|
1982 |
+
"grad_norm": 1.0590493469402826,
|
1983 |
+
"learning_rate": 5e-06,
|
1984 |
+
"loss": 0.6556,
|
1985 |
+
"step": 2800
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 2.8202233094969262,
|
1989 |
+
"grad_norm": 0.8284099367079102,
|
1990 |
+
"learning_rate": 5e-06,
|
1991 |
+
"loss": 0.6549,
|
1992 |
+
"step": 2810
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 2.830259691381257,
|
1996 |
+
"grad_norm": 0.6501574839000807,
|
1997 |
+
"learning_rate": 5e-06,
|
1998 |
+
"loss": 0.6507,
|
1999 |
+
"step": 2820
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 2.8402960732655878,
|
2003 |
+
"grad_norm": 0.5410870388612636,
|
2004 |
+
"learning_rate": 5e-06,
|
2005 |
+
"loss": 0.6526,
|
2006 |
+
"step": 2830
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 2.8503324551499185,
|
2010 |
+
"grad_norm": 0.6510662758185398,
|
2011 |
+
"learning_rate": 5e-06,
|
2012 |
+
"loss": 0.6519,
|
2013 |
+
"step": 2840
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 2.8603688370342493,
|
2017 |
+
"grad_norm": 0.5238204299865007,
|
2018 |
+
"learning_rate": 5e-06,
|
2019 |
+
"loss": 0.6593,
|
2020 |
+
"step": 2850
|
2021 |
+
},
|
2022 |
+
{
|
2023 |
+
"epoch": 2.87040521891858,
|
2024 |
+
"grad_norm": 0.5397683523247623,
|
2025 |
+
"learning_rate": 5e-06,
|
2026 |
+
"loss": 0.6526,
|
2027 |
+
"step": 2860
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 2.880441600802911,
|
2031 |
+
"grad_norm": 0.5558371306126749,
|
2032 |
+
"learning_rate": 5e-06,
|
2033 |
+
"loss": 0.6521,
|
2034 |
+
"step": 2870
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 2.890477982687241,
|
2038 |
+
"grad_norm": 0.5084123704706736,
|
2039 |
+
"learning_rate": 5e-06,
|
2040 |
+
"loss": 0.655,
|
2041 |
+
"step": 2880
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 2.900514364571572,
|
2045 |
+
"grad_norm": 0.5363806596935408,
|
2046 |
+
"learning_rate": 5e-06,
|
2047 |
+
"loss": 0.6523,
|
2048 |
+
"step": 2890
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 2.9105507464559026,
|
2052 |
+
"grad_norm": 0.526536425381128,
|
2053 |
+
"learning_rate": 5e-06,
|
2054 |
+
"loss": 0.6549,
|
2055 |
+
"step": 2900
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 2.9205871283402334,
|
2059 |
+
"grad_norm": 0.5720711163344511,
|
2060 |
+
"learning_rate": 5e-06,
|
2061 |
+
"loss": 0.6516,
|
2062 |
+
"step": 2910
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 2.930623510224564,
|
2066 |
+
"grad_norm": 0.5168344329750222,
|
2067 |
+
"learning_rate": 5e-06,
|
2068 |
+
"loss": 0.6505,
|
2069 |
+
"step": 2920
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 2.940659892108895,
|
2073 |
+
"grad_norm": 0.5068041805158231,
|
2074 |
+
"learning_rate": 5e-06,
|
2075 |
+
"loss": 0.6523,
|
2076 |
+
"step": 2930
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 2.950696273993225,
|
2080 |
+
"grad_norm": 0.5854150052744146,
|
2081 |
+
"learning_rate": 5e-06,
|
2082 |
+
"loss": 0.6562,
|
2083 |
+
"step": 2940
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 2.960732655877556,
|
2087 |
+
"grad_norm": 0.6196831772444017,
|
2088 |
+
"learning_rate": 5e-06,
|
2089 |
+
"loss": 0.6542,
|
2090 |
+
"step": 2950
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 2.9707690377618867,
|
2094 |
+
"grad_norm": 0.5314563776407271,
|
2095 |
+
"learning_rate": 5e-06,
|
2096 |
+
"loss": 0.6561,
|
2097 |
+
"step": 2960
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 2.9808054196462175,
|
2101 |
+
"grad_norm": 0.5039099479336567,
|
2102 |
+
"learning_rate": 5e-06,
|
2103 |
+
"loss": 0.6563,
|
2104 |
+
"step": 2970
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 2.9908418015305482,
|
2108 |
+
"grad_norm": 0.5313007683420622,
|
2109 |
+
"learning_rate": 5e-06,
|
2110 |
+
"loss": 0.6521,
|
2111 |
+
"step": 2980
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 2.999874545226446,
|
2115 |
+
"eval_loss": 0.7146658897399902,
|
2116 |
+
"eval_runtime": 674.3767,
|
2117 |
+
"eval_samples_per_second": 39.813,
|
2118 |
+
"eval_steps_per_second": 0.623,
|
2119 |
+
"step": 2989
|
2120 |
+
},
|
2121 |
+
{
|
2122 |
+
"epoch": 3.000878183414879,
|
2123 |
+
"grad_norm": 1.159167907299322,
|
2124 |
+
"learning_rate": 5e-06,
|
2125 |
+
"loss": 0.6898,
|
2126 |
+
"step": 2990
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 3.0109145652992098,
|
2130 |
+
"grad_norm": 0.7818114221168871,
|
2131 |
+
"learning_rate": 5e-06,
|
2132 |
+
"loss": 0.6112,
|
2133 |
+
"step": 3000
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 3.0209509471835405,
|
2137 |
+
"grad_norm": 0.7106384774672879,
|
2138 |
+
"learning_rate": 5e-06,
|
2139 |
+
"loss": 0.6059,
|
2140 |
+
"step": 3010
|
2141 |
+
},
|
2142 |
+
{
|
2143 |
+
"epoch": 3.030987329067871,
|
2144 |
+
"grad_norm": 0.640003891116449,
|
2145 |
+
"learning_rate": 5e-06,
|
2146 |
+
"loss": 0.6085,
|
2147 |
+
"step": 3020
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 3.0410237109522016,
|
2151 |
+
"grad_norm": 0.6066326657235696,
|
2152 |
+
"learning_rate": 5e-06,
|
2153 |
+
"loss": 0.6077,
|
2154 |
+
"step": 3030
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"epoch": 3.0510600928365323,
|
2158 |
+
"grad_norm": 0.6071064742090702,
|
2159 |
+
"learning_rate": 5e-06,
|
2160 |
+
"loss": 0.6116,
|
2161 |
+
"step": 3040
|
2162 |
+
},
|
2163 |
+
{
|
2164 |
+
"epoch": 3.061096474720863,
|
2165 |
+
"grad_norm": 0.693281501487692,
|
2166 |
+
"learning_rate": 5e-06,
|
2167 |
+
"loss": 0.6052,
|
2168 |
+
"step": 3050
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 3.071132856605194,
|
2172 |
+
"grad_norm": 0.7693025911684378,
|
2173 |
+
"learning_rate": 5e-06,
|
2174 |
+
"loss": 0.6095,
|
2175 |
+
"step": 3060
|
2176 |
+
},
|
2177 |
+
{
|
2178 |
+
"epoch": 3.0811692384895246,
|
2179 |
+
"grad_norm": 0.6184427233437038,
|
2180 |
+
"learning_rate": 5e-06,
|
2181 |
+
"loss": 0.6069,
|
2182 |
+
"step": 3070
|
2183 |
+
},
|
2184 |
+
{
|
2185 |
+
"epoch": 3.0912056203738554,
|
2186 |
+
"grad_norm": 0.634870226376911,
|
2187 |
+
"learning_rate": 5e-06,
|
2188 |
+
"loss": 0.6099,
|
2189 |
+
"step": 3080
|
2190 |
+
},
|
2191 |
+
{
|
2192 |
+
"epoch": 3.101242002258186,
|
2193 |
+
"grad_norm": 0.5947920487741215,
|
2194 |
+
"learning_rate": 5e-06,
|
2195 |
+
"loss": 0.6092,
|
2196 |
+
"step": 3090
|
2197 |
+
},
|
2198 |
+
{
|
2199 |
+
"epoch": 3.1112783841425165,
|
2200 |
+
"grad_norm": 0.5475506951891964,
|
2201 |
+
"learning_rate": 5e-06,
|
2202 |
+
"loss": 0.6066,
|
2203 |
+
"step": 3100
|
2204 |
+
},
|
2205 |
+
{
|
2206 |
+
"epoch": 3.121314766026847,
|
2207 |
+
"grad_norm": 0.5786846254856872,
|
2208 |
+
"learning_rate": 5e-06,
|
2209 |
+
"loss": 0.6077,
|
2210 |
+
"step": 3110
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 3.131351147911178,
|
2214 |
+
"grad_norm": 0.5837921428316006,
|
2215 |
+
"learning_rate": 5e-06,
|
2216 |
+
"loss": 0.6125,
|
2217 |
+
"step": 3120
|
2218 |
+
},
|
2219 |
+
{
|
2220 |
+
"epoch": 3.1413875297955087,
|
2221 |
+
"grad_norm": 0.6388660075166559,
|
2222 |
+
"learning_rate": 5e-06,
|
2223 |
+
"loss": 0.6073,
|
2224 |
+
"step": 3130
|
2225 |
+
},
|
2226 |
+
{
|
2227 |
+
"epoch": 3.1514239116798395,
|
2228 |
+
"grad_norm": 0.6247319700614546,
|
2229 |
+
"learning_rate": 5e-06,
|
2230 |
+
"loss": 0.6129,
|
2231 |
+
"step": 3140
|
2232 |
+
},
|
2233 |
+
{
|
2234 |
+
"epoch": 3.1614602935641702,
|
2235 |
+
"grad_norm": 0.7220969862146115,
|
2236 |
+
"learning_rate": 5e-06,
|
2237 |
+
"loss": 0.6096,
|
2238 |
+
"step": 3150
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 3.171496675448501,
|
2242 |
+
"grad_norm": 0.5966143252277392,
|
2243 |
+
"learning_rate": 5e-06,
|
2244 |
+
"loss": 0.6108,
|
2245 |
+
"step": 3160
|
2246 |
+
},
|
2247 |
+
{
|
2248 |
+
"epoch": 3.1815330573328313,
|
2249 |
+
"grad_norm": 0.5806668148525886,
|
2250 |
+
"learning_rate": 5e-06,
|
2251 |
+
"loss": 0.611,
|
2252 |
+
"step": 3170
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 3.191569439217162,
|
2256 |
+
"grad_norm": 0.5847564401984537,
|
2257 |
+
"learning_rate": 5e-06,
|
2258 |
+
"loss": 0.6099,
|
2259 |
+
"step": 3180
|
2260 |
+
},
|
2261 |
+
{
|
2262 |
+
"epoch": 3.201605821101493,
|
2263 |
+
"grad_norm": 0.5685073324759383,
|
2264 |
+
"learning_rate": 5e-06,
|
2265 |
+
"loss": 0.6162,
|
2266 |
+
"step": 3190
|
2267 |
+
},
|
2268 |
+
{
|
2269 |
+
"epoch": 3.2116422029858236,
|
2270 |
+
"grad_norm": 0.5806892343391038,
|
2271 |
+
"learning_rate": 5e-06,
|
2272 |
+
"loss": 0.6099,
|
2273 |
+
"step": 3200
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 3.2216785848701543,
|
2277 |
+
"grad_norm": 0.5629335787755336,
|
2278 |
+
"learning_rate": 5e-06,
|
2279 |
+
"loss": 0.6122,
|
2280 |
+
"step": 3210
|
2281 |
+
},
|
2282 |
+
{
|
2283 |
+
"epoch": 3.231714966754485,
|
2284 |
+
"grad_norm": 0.6104998235017857,
|
2285 |
+
"learning_rate": 5e-06,
|
2286 |
+
"loss": 0.6128,
|
2287 |
+
"step": 3220
|
2288 |
+
},
|
2289 |
+
{
|
2290 |
+
"epoch": 3.241751348638816,
|
2291 |
+
"grad_norm": 0.670576007712542,
|
2292 |
+
"learning_rate": 5e-06,
|
2293 |
+
"loss": 0.6122,
|
2294 |
+
"step": 3230
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 3.251787730523146,
|
2298 |
+
"grad_norm": 0.6597487550561909,
|
2299 |
+
"learning_rate": 5e-06,
|
2300 |
+
"loss": 0.6135,
|
2301 |
+
"step": 3240
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 3.261824112407477,
|
2305 |
+
"grad_norm": 0.5645378989833628,
|
2306 |
+
"learning_rate": 5e-06,
|
2307 |
+
"loss": 0.6149,
|
2308 |
+
"step": 3250
|
2309 |
+
},
|
2310 |
+
{
|
2311 |
+
"epoch": 3.2718604942918077,
|
2312 |
+
"grad_norm": 0.5939861646065504,
|
2313 |
+
"learning_rate": 5e-06,
|
2314 |
+
"loss": 0.6097,
|
2315 |
+
"step": 3260
|
2316 |
+
},
|
2317 |
+
{
|
2318 |
+
"epoch": 3.2818968761761385,
|
2319 |
+
"grad_norm": 0.6160406690736504,
|
2320 |
+
"learning_rate": 5e-06,
|
2321 |
+
"loss": 0.6086,
|
2322 |
+
"step": 3270
|
2323 |
+
},
|
2324 |
+
{
|
2325 |
+
"epoch": 3.291933258060469,
|
2326 |
+
"grad_norm": 0.5487825374465094,
|
2327 |
+
"learning_rate": 5e-06,
|
2328 |
+
"loss": 0.6144,
|
2329 |
+
"step": 3280
|
2330 |
+
},
|
2331 |
+
{
|
2332 |
+
"epoch": 3.3019696399448,
|
2333 |
+
"grad_norm": 0.6520181865316601,
|
2334 |
+
"learning_rate": 5e-06,
|
2335 |
+
"loss": 0.6183,
|
2336 |
+
"step": 3290
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 3.3120060218291307,
|
2340 |
+
"grad_norm": 0.5977506986605584,
|
2341 |
+
"learning_rate": 5e-06,
|
2342 |
+
"loss": 0.6147,
|
2343 |
+
"step": 3300
|
2344 |
+
},
|
2345 |
+
{
|
2346 |
+
"epoch": 3.3220424037134615,
|
2347 |
+
"grad_norm": 0.6484133892242163,
|
2348 |
+
"learning_rate": 5e-06,
|
2349 |
+
"loss": 0.6151,
|
2350 |
+
"step": 3310
|
2351 |
+
},
|
2352 |
+
{
|
2353 |
+
"epoch": 3.332078785597792,
|
2354 |
+
"grad_norm": 0.5970543245993525,
|
2355 |
+
"learning_rate": 5e-06,
|
2356 |
+
"loss": 0.6108,
|
2357 |
+
"step": 3320
|
2358 |
+
},
|
2359 |
+
{
|
2360 |
+
"epoch": 3.3421151674821226,
|
2361 |
+
"grad_norm": 0.6116862845869632,
|
2362 |
+
"learning_rate": 5e-06,
|
2363 |
+
"loss": 0.6166,
|
2364 |
+
"step": 3330
|
2365 |
+
},
|
2366 |
+
{
|
2367 |
+
"epoch": 3.3521515493664533,
|
2368 |
+
"grad_norm": 0.5580458755366267,
|
2369 |
+
"learning_rate": 5e-06,
|
2370 |
+
"loss": 0.6177,
|
2371 |
+
"step": 3340
|
2372 |
+
},
|
2373 |
+
{
|
2374 |
+
"epoch": 3.362187931250784,
|
2375 |
+
"grad_norm": 0.7040073547476862,
|
2376 |
+
"learning_rate": 5e-06,
|
2377 |
+
"loss": 0.6181,
|
2378 |
+
"step": 3350
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 3.372224313135115,
|
2382 |
+
"grad_norm": 0.652807816857214,
|
2383 |
+
"learning_rate": 5e-06,
|
2384 |
+
"loss": 0.6186,
|
2385 |
+
"step": 3360
|
2386 |
+
},
|
2387 |
+
{
|
2388 |
+
"epoch": 3.3822606950194456,
|
2389 |
+
"grad_norm": 0.6106384378999347,
|
2390 |
+
"learning_rate": 5e-06,
|
2391 |
+
"loss": 0.6189,
|
2392 |
+
"step": 3370
|
2393 |
+
},
|
2394 |
+
{
|
2395 |
+
"epoch": 3.3922970769037764,
|
2396 |
+
"grad_norm": 0.6920160744092827,
|
2397 |
+
"learning_rate": 5e-06,
|
2398 |
+
"loss": 0.617,
|
2399 |
+
"step": 3380
|
2400 |
+
},
|
2401 |
+
{
|
2402 |
+
"epoch": 3.4023334587881067,
|
2403 |
+
"grad_norm": 0.5814853765567533,
|
2404 |
+
"learning_rate": 5e-06,
|
2405 |
+
"loss": 0.6118,
|
2406 |
+
"step": 3390
|
2407 |
+
},
|
2408 |
+
{
|
2409 |
+
"epoch": 3.4123698406724374,
|
2410 |
+
"grad_norm": 0.5389887117603109,
|
2411 |
+
"learning_rate": 5e-06,
|
2412 |
+
"loss": 0.6126,
|
2413 |
+
"step": 3400
|
2414 |
+
},
|
2415 |
+
{
|
2416 |
+
"epoch": 3.422406222556768,
|
2417 |
+
"grad_norm": 0.582316325799389,
|
2418 |
+
"learning_rate": 5e-06,
|
2419 |
+
"loss": 0.6143,
|
2420 |
+
"step": 3410
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 3.432442604441099,
|
2424 |
+
"grad_norm": 0.5612761289810537,
|
2425 |
+
"learning_rate": 5e-06,
|
2426 |
+
"loss": 0.616,
|
2427 |
+
"step": 3420
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"epoch": 3.4424789863254297,
|
2431 |
+
"grad_norm": 0.5315307027152637,
|
2432 |
+
"learning_rate": 5e-06,
|
2433 |
+
"loss": 0.6126,
|
2434 |
+
"step": 3430
|
2435 |
+
},
|
2436 |
+
{
|
2437 |
+
"epoch": 3.4525153682097605,
|
2438 |
+
"grad_norm": 0.5632095541748001,
|
2439 |
+
"learning_rate": 5e-06,
|
2440 |
+
"loss": 0.6139,
|
2441 |
+
"step": 3440
|
2442 |
+
},
|
2443 |
+
{
|
2444 |
+
"epoch": 3.462551750094091,
|
2445 |
+
"grad_norm": 0.5777253428377956,
|
2446 |
+
"learning_rate": 5e-06,
|
2447 |
+
"loss": 0.6153,
|
2448 |
+
"step": 3450
|
2449 |
+
},
|
2450 |
+
{
|
2451 |
+
"epoch": 3.472588131978422,
|
2452 |
+
"grad_norm": 0.5802066633079221,
|
2453 |
+
"learning_rate": 5e-06,
|
2454 |
+
"loss": 0.6183,
|
2455 |
+
"step": 3460
|
2456 |
+
},
|
2457 |
+
{
|
2458 |
+
"epoch": 3.4826245138627523,
|
2459 |
+
"grad_norm": 0.6858510179050318,
|
2460 |
+
"learning_rate": 5e-06,
|
2461 |
+
"loss": 0.6105,
|
2462 |
+
"step": 3470
|
2463 |
+
},
|
2464 |
+
{
|
2465 |
+
"epoch": 3.492660895747083,
|
2466 |
+
"grad_norm": 0.6150923461042579,
|
2467 |
+
"learning_rate": 5e-06,
|
2468 |
+
"loss": 0.6123,
|
2469 |
+
"step": 3480
|
2470 |
+
},
|
2471 |
+
{
|
2472 |
+
"epoch": 3.502697277631414,
|
2473 |
+
"grad_norm": 0.6850358509214438,
|
2474 |
+
"learning_rate": 5e-06,
|
2475 |
+
"loss": 0.6176,
|
2476 |
+
"step": 3490
|
2477 |
+
},
|
2478 |
+
{
|
2479 |
+
"epoch": 3.5127336595157446,
|
2480 |
+
"grad_norm": 0.6221194287714066,
|
2481 |
+
"learning_rate": 5e-06,
|
2482 |
+
"loss": 0.6135,
|
2483 |
+
"step": 3500
|
2484 |
+
},
|
2485 |
+
{
|
2486 |
+
"epoch": 3.5227700414000753,
|
2487 |
+
"grad_norm": 0.6337555357747637,
|
2488 |
+
"learning_rate": 5e-06,
|
2489 |
+
"loss": 0.6176,
|
2490 |
+
"step": 3510
|
2491 |
+
},
|
2492 |
+
{
|
2493 |
+
"epoch": 3.532806423284406,
|
2494 |
+
"grad_norm": 0.5696342404252304,
|
2495 |
+
"learning_rate": 5e-06,
|
2496 |
+
"loss": 0.6194,
|
2497 |
+
"step": 3520
|
2498 |
+
},
|
2499 |
+
{
|
2500 |
+
"epoch": 3.5428428051687364,
|
2501 |
+
"grad_norm": 0.5192096724412292,
|
2502 |
+
"learning_rate": 5e-06,
|
2503 |
+
"loss": 0.6169,
|
2504 |
+
"step": 3530
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 3.552879187053067,
|
2508 |
+
"grad_norm": 0.6461636488212382,
|
2509 |
+
"learning_rate": 5e-06,
|
2510 |
+
"loss": 0.6194,
|
2511 |
+
"step": 3540
|
2512 |
+
},
|
2513 |
+
{
|
2514 |
+
"epoch": 3.562915568937398,
|
2515 |
+
"grad_norm": 0.5204792269879596,
|
2516 |
+
"learning_rate": 5e-06,
|
2517 |
+
"loss": 0.6134,
|
2518 |
+
"step": 3550
|
2519 |
+
},
|
2520 |
+
{
|
2521 |
+
"epoch": 3.5729519508217287,
|
2522 |
+
"grad_norm": 0.5799708864875738,
|
2523 |
+
"learning_rate": 5e-06,
|
2524 |
+
"loss": 0.6188,
|
2525 |
+
"step": 3560
|
2526 |
+
},
|
2527 |
+
{
|
2528 |
+
"epoch": 3.5829883327060594,
|
2529 |
+
"grad_norm": 0.5463250823773549,
|
2530 |
+
"learning_rate": 5e-06,
|
2531 |
+
"loss": 0.6176,
|
2532 |
+
"step": 3570
|
2533 |
+
},
|
2534 |
+
{
|
2535 |
+
"epoch": 3.59302471459039,
|
2536 |
+
"grad_norm": 0.6314712032266755,
|
2537 |
+
"learning_rate": 5e-06,
|
2538 |
+
"loss": 0.6207,
|
2539 |
+
"step": 3580
|
2540 |
+
},
|
2541 |
+
{
|
2542 |
+
"epoch": 3.603061096474721,
|
2543 |
+
"grad_norm": 0.6479660409480549,
|
2544 |
+
"learning_rate": 5e-06,
|
2545 |
+
"loss": 0.6164,
|
2546 |
+
"step": 3590
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 3.6130974783590517,
|
2550 |
+
"grad_norm": 0.6300826657668005,
|
2551 |
+
"learning_rate": 5e-06,
|
2552 |
+
"loss": 0.6161,
|
2553 |
+
"step": 3600
|
2554 |
+
},
|
2555 |
+
{
|
2556 |
+
"epoch": 3.6231338602433825,
|
2557 |
+
"grad_norm": 0.6595382686169196,
|
2558 |
+
"learning_rate": 5e-06,
|
2559 |
+
"loss": 0.6206,
|
2560 |
+
"step": 3610
|
2561 |
+
},
|
2562 |
+
{
|
2563 |
+
"epoch": 3.6331702421277132,
|
2564 |
+
"grad_norm": 0.5652565303110992,
|
2565 |
+
"learning_rate": 5e-06,
|
2566 |
+
"loss": 0.6196,
|
2567 |
+
"step": 3620
|
2568 |
+
},
|
2569 |
+
{
|
2570 |
+
"epoch": 3.6432066240120435,
|
2571 |
+
"grad_norm": 0.579203582642288,
|
2572 |
+
"learning_rate": 5e-06,
|
2573 |
+
"loss": 0.6204,
|
2574 |
+
"step": 3630
|
2575 |
+
},
|
2576 |
+
{
|
2577 |
+
"epoch": 3.6532430058963743,
|
2578 |
+
"grad_norm": 0.5437849615714947,
|
2579 |
+
"learning_rate": 5e-06,
|
2580 |
+
"loss": 0.6183,
|
2581 |
+
"step": 3640
|
2582 |
+
},
|
2583 |
+
{
|
2584 |
+
"epoch": 3.663279387780705,
|
2585 |
+
"grad_norm": 0.5787593937881179,
|
2586 |
+
"learning_rate": 5e-06,
|
2587 |
+
"loss": 0.6167,
|
2588 |
+
"step": 3650
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 3.673315769665036,
|
2592 |
+
"grad_norm": 0.5811897003512283,
|
2593 |
+
"learning_rate": 5e-06,
|
2594 |
+
"loss": 0.6152,
|
2595 |
+
"step": 3660
|
2596 |
+
},
|
2597 |
+
{
|
2598 |
+
"epoch": 3.6833521515493666,
|
2599 |
+
"grad_norm": 0.5178334072146914,
|
2600 |
+
"learning_rate": 5e-06,
|
2601 |
+
"loss": 0.612,
|
2602 |
+
"step": 3670
|
2603 |
+
},
|
2604 |
+
{
|
2605 |
+
"epoch": 3.693388533433697,
|
2606 |
+
"grad_norm": 0.6269969593175169,
|
2607 |
+
"learning_rate": 5e-06,
|
2608 |
+
"loss": 0.616,
|
2609 |
+
"step": 3680
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 3.7034249153180276,
|
2613 |
+
"grad_norm": 0.6398231596326978,
|
2614 |
+
"learning_rate": 5e-06,
|
2615 |
+
"loss": 0.62,
|
2616 |
+
"step": 3690
|
2617 |
+
},
|
2618 |
+
{
|
2619 |
+
"epoch": 3.7134612972023584,
|
2620 |
+
"grad_norm": 0.5787553408157999,
|
2621 |
+
"learning_rate": 5e-06,
|
2622 |
+
"loss": 0.6199,
|
2623 |
+
"step": 3700
|
2624 |
+
},
|
2625 |
+
{
|
2626 |
+
"epoch": 3.723497679086689,
|
2627 |
+
"grad_norm": 0.5592510334692263,
|
2628 |
+
"learning_rate": 5e-06,
|
2629 |
+
"loss": 0.6172,
|
2630 |
+
"step": 3710
|
2631 |
+
},
|
2632 |
+
{
|
2633 |
+
"epoch": 3.73353406097102,
|
2634 |
+
"grad_norm": 0.5911520225126639,
|
2635 |
+
"learning_rate": 5e-06,
|
2636 |
+
"loss": 0.6206,
|
2637 |
+
"step": 3720
|
2638 |
+
},
|
2639 |
+
{
|
2640 |
+
"epoch": 3.7435704428553507,
|
2641 |
+
"grad_norm": 0.5509577144961972,
|
2642 |
+
"learning_rate": 5e-06,
|
2643 |
+
"loss": 0.6162,
|
2644 |
+
"step": 3730
|
2645 |
+
},
|
2646 |
+
{
|
2647 |
+
"epoch": 3.7536068247396814,
|
2648 |
+
"grad_norm": 0.6230171740270747,
|
2649 |
+
"learning_rate": 5e-06,
|
2650 |
+
"loss": 0.6211,
|
2651 |
+
"step": 3740
|
2652 |
+
},
|
2653 |
+
{
|
2654 |
+
"epoch": 3.763643206624012,
|
2655 |
+
"grad_norm": 0.606064062911815,
|
2656 |
+
"learning_rate": 5e-06,
|
2657 |
+
"loss": 0.6169,
|
2658 |
+
"step": 3750
|
2659 |
+
},
|
2660 |
+
{
|
2661 |
+
"epoch": 3.773679588508343,
|
2662 |
+
"grad_norm": 0.5251378729385787,
|
2663 |
+
"learning_rate": 5e-06,
|
2664 |
+
"loss": 0.6142,
|
2665 |
+
"step": 3760
|
2666 |
+
},
|
2667 |
+
{
|
2668 |
+
"epoch": 3.7837159703926737,
|
2669 |
+
"grad_norm": 0.5313902122829314,
|
2670 |
+
"learning_rate": 5e-06,
|
2671 |
+
"loss": 0.6171,
|
2672 |
+
"step": 3770
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 3.793752352277004,
|
2676 |
+
"grad_norm": 0.5738855269066635,
|
2677 |
+
"learning_rate": 5e-06,
|
2678 |
+
"loss": 0.614,
|
2679 |
+
"step": 3780
|
2680 |
+
},
|
2681 |
+
{
|
2682 |
+
"epoch": 3.803788734161335,
|
2683 |
+
"grad_norm": 0.6094017649137001,
|
2684 |
+
"learning_rate": 5e-06,
|
2685 |
+
"loss": 0.6184,
|
2686 |
+
"step": 3790
|
2687 |
+
},
|
2688 |
+
{
|
2689 |
+
"epoch": 3.8138251160456655,
|
2690 |
+
"grad_norm": 0.577775104243207,
|
2691 |
+
"learning_rate": 5e-06,
|
2692 |
+
"loss": 0.6147,
|
2693 |
+
"step": 3800
|
2694 |
+
},
|
2695 |
+
{
|
2696 |
+
"epoch": 3.8238614979299963,
|
2697 |
+
"grad_norm": 0.5896473350091869,
|
2698 |
+
"learning_rate": 5e-06,
|
2699 |
+
"loss": 0.6191,
|
2700 |
+
"step": 3810
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 3.833897879814327,
|
2704 |
+
"grad_norm": 0.6197381864983481,
|
2705 |
+
"learning_rate": 5e-06,
|
2706 |
+
"loss": 0.6204,
|
2707 |
+
"step": 3820
|
2708 |
+
},
|
2709 |
+
{
|
2710 |
+
"epoch": 3.8439342616986574,
|
2711 |
+
"grad_norm": 0.6385235404417998,
|
2712 |
+
"learning_rate": 5e-06,
|
2713 |
+
"loss": 0.6184,
|
2714 |
+
"step": 3830
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 3.853970643582988,
|
2718 |
+
"grad_norm": 0.5605836986977404,
|
2719 |
+
"learning_rate": 5e-06,
|
2720 |
+
"loss": 0.6184,
|
2721 |
+
"step": 3840
|
2722 |
+
},
|
2723 |
+
{
|
2724 |
+
"epoch": 3.864007025467319,
|
2725 |
+
"grad_norm": 0.5314662217673221,
|
2726 |
+
"learning_rate": 5e-06,
|
2727 |
+
"loss": 0.6175,
|
2728 |
+
"step": 3850
|
2729 |
+
},
|
2730 |
+
{
|
2731 |
+
"epoch": 3.8740434073516496,
|
2732 |
+
"grad_norm": 0.5617746957894754,
|
2733 |
+
"learning_rate": 5e-06,
|
2734 |
+
"loss": 0.6168,
|
2735 |
+
"step": 3860
|
2736 |
+
},
|
2737 |
+
{
|
2738 |
+
"epoch": 3.8840797892359804,
|
2739 |
+
"grad_norm": 0.6130682994037887,
|
2740 |
+
"learning_rate": 5e-06,
|
2741 |
+
"loss": 0.6213,
|
2742 |
+
"step": 3870
|
2743 |
+
},
|
2744 |
+
{
|
2745 |
+
"epoch": 3.894116171120311,
|
2746 |
+
"grad_norm": 0.6330660373549564,
|
2747 |
+
"learning_rate": 5e-06,
|
2748 |
+
"loss": 0.6237,
|
2749 |
+
"step": 3880
|
2750 |
+
},
|
2751 |
+
{
|
2752 |
+
"epoch": 3.904152553004642,
|
2753 |
+
"grad_norm": 0.5757814490358608,
|
2754 |
+
"learning_rate": 5e-06,
|
2755 |
+
"loss": 0.6199,
|
2756 |
+
"step": 3890
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 3.9141889348889727,
|
2760 |
+
"grad_norm": 0.5686860241059948,
|
2761 |
+
"learning_rate": 5e-06,
|
2762 |
+
"loss": 0.6166,
|
2763 |
+
"step": 3900
|
2764 |
+
},
|
2765 |
+
{
|
2766 |
+
"epoch": 3.9242253167733034,
|
2767 |
+
"grad_norm": 0.577591496190582,
|
2768 |
+
"learning_rate": 5e-06,
|
2769 |
+
"loss": 0.6194,
|
2770 |
+
"step": 3910
|
2771 |
+
},
|
2772 |
+
{
|
2773 |
+
"epoch": 3.934261698657634,
|
2774 |
+
"grad_norm": 0.5589041470451204,
|
2775 |
+
"learning_rate": 5e-06,
|
2776 |
+
"loss": 0.619,
|
2777 |
+
"step": 3920
|
2778 |
+
},
|
2779 |
+
{
|
2780 |
+
"epoch": 3.9442980805419645,
|
2781 |
+
"grad_norm": 0.6004802459840047,
|
2782 |
+
"learning_rate": 5e-06,
|
2783 |
+
"loss": 0.6148,
|
2784 |
+
"step": 3930
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 3.9543344624262953,
|
2788 |
+
"grad_norm": 0.6153349703188992,
|
2789 |
+
"learning_rate": 5e-06,
|
2790 |
+
"loss": 0.6166,
|
2791 |
+
"step": 3940
|
2792 |
+
},
|
2793 |
+
{
|
2794 |
+
"epoch": 3.964370844310626,
|
2795 |
+
"grad_norm": 0.5218178205884076,
|
2796 |
+
"learning_rate": 5e-06,
|
2797 |
+
"loss": 0.619,
|
2798 |
+
"step": 3950
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 3.974407226194957,
|
2802 |
+
"grad_norm": 0.547168472398349,
|
2803 |
+
"learning_rate": 5e-06,
|
2804 |
+
"loss": 0.6194,
|
2805 |
+
"step": 3960
|
2806 |
+
},
|
2807 |
+
{
|
2808 |
+
"epoch": 3.9844436080792875,
|
2809 |
+
"grad_norm": 0.5359836200059497,
|
2810 |
+
"learning_rate": 5e-06,
|
2811 |
+
"loss": 0.6225,
|
2812 |
+
"step": 3970
|
2813 |
+
},
|
2814 |
+
{
|
2815 |
+
"epoch": 3.994479989963618,
|
2816 |
+
"grad_norm": 0.7180200697231374,
|
2817 |
+
"learning_rate": 5e-06,
|
2818 |
+
"loss": 0.6204,
|
2819 |
+
"step": 3980
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 3.99849454271735,
|
2823 |
+
"eval_loss": 0.7222821116447449,
|
2824 |
+
"eval_runtime": 679.219,
|
2825 |
+
"eval_samples_per_second": 39.529,
|
2826 |
+
"eval_steps_per_second": 0.618,
|
2827 |
+
"step": 3984
|
2828 |
+
},
|
2829 |
+
{
|
2830 |
+
"epoch": 3.99849454271735,
|
2831 |
+
"step": 3984,
|
2832 |
+
"total_flos": 6673139006177280.0,
|
2833 |
+
"train_loss": 0.6817261522194468,
|
2834 |
+
"train_runtime": 130344.1738,
|
2835 |
+
"train_samples_per_second": 15.654,
|
2836 |
+
"train_steps_per_second": 0.031
|
2837 |
+
}
|
2838 |
+
],
|
2839 |
+
"logging_steps": 10,
|
2840 |
+
"max_steps": 3984,
|
2841 |
+
"num_input_tokens_seen": 0,
|
2842 |
+
"num_train_epochs": 4,
|
2843 |
+
"save_steps": 500,
|
2844 |
+
"stateful_callbacks": {
|
2845 |
+
"TrainerControl": {
|
2846 |
+
"args": {
|
2847 |
+
"should_epoch_stop": false,
|
2848 |
+
"should_evaluate": false,
|
2849 |
+
"should_log": false,
|
2850 |
+
"should_save": true,
|
2851 |
+
"should_training_stop": true
|
2852 |
+
},
|
2853 |
+
"attributes": {}
|
2854 |
+
}
|
2855 |
+
},
|
2856 |
+
"total_flos": 6673139006177280.0,
|
2857 |
+
"train_batch_size": 8,
|
2858 |
+
"trial_name": null,
|
2859 |
+
"trial_params": null
|
2860 |
+
}
|
training_eval_loss.png
ADDED
training_loss.png
ADDED