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 +1816 -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_v1.3_slim_orca_x8
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# oh_v1.3_slim_orca_x8
|
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: 0.7030
|
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_v1.3_slim_orca_x8
|
|
|
16 |
|
17 |
# oh_v1.3_slim_orca_x8
|
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_v1.3_slim_orca_x8 dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.7030
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.998204667863555,
|
3 |
+
"eval_loss": 0.7030414938926697,
|
4 |
+
"eval_runtime": 149.4567,
|
5 |
+
"eval_samples_per_second": 150.639,
|
6 |
+
"eval_steps_per_second": 0.589,
|
7 |
+
"total_flos": 4195130781204480.0,
|
8 |
+
"train_loss": 0.6780577095206864,
|
9 |
+
"train_runtime": 21666.0023,
|
10 |
+
"train_samples_per_second": 59.229,
|
11 |
+
"train_steps_per_second": 0.116
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.998204667863555,
|
3 |
+
"eval_loss": 0.7030414938926697,
|
4 |
+
"eval_runtime": 149.4567,
|
5 |
+
"eval_samples_per_second": 150.639,
|
6 |
+
"eval_steps_per_second": 0.589
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.998204667863555,
|
3 |
+
"total_flos": 4195130781204480.0,
|
4 |
+
"train_loss": 0.6780577095206864,
|
5 |
+
"train_runtime": 21666.0023,
|
6 |
+
"train_samples_per_second": 59.229,
|
7 |
+
"train_steps_per_second": 0.116
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1816 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.998204667863555,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2505,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.011968880909634948,
|
13 |
+
"grad_norm": 26.500904248426494,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 1.0918,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.023937761819269897,
|
20 |
+
"grad_norm": 2.050351070135692,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.9643,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03590664272890485,
|
27 |
+
"grad_norm": 1.5804902490894754,
|
28 |
+
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.8994,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.047875523638539794,
|
34 |
+
"grad_norm": 1.3296407219003534,
|
35 |
+
"learning_rate": 5e-06,
|
36 |
+
"loss": 0.8624,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.059844404548174746,
|
41 |
+
"grad_norm": 1.2478037629085867,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.8386,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.0718132854578097,
|
48 |
+
"grad_norm": 1.5244344651863047,
|
49 |
+
"learning_rate": 5e-06,
|
50 |
+
"loss": 0.8163,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.08378216636744465,
|
55 |
+
"grad_norm": 1.4588200289873845,
|
56 |
+
"learning_rate": 5e-06,
|
57 |
+
"loss": 0.8072,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.09575104727707959,
|
62 |
+
"grad_norm": 1.0982027372762801,
|
63 |
+
"learning_rate": 5e-06,
|
64 |
+
"loss": 0.793,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.10771992818671454,
|
69 |
+
"grad_norm": 0.8816222607041236,
|
70 |
+
"learning_rate": 5e-06,
|
71 |
+
"loss": 0.7803,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.11968880909634949,
|
76 |
+
"grad_norm": 0.756880071100982,
|
77 |
+
"learning_rate": 5e-06,
|
78 |
+
"loss": 0.7751,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.13165769000598443,
|
83 |
+
"grad_norm": 1.055426572397012,
|
84 |
+
"learning_rate": 5e-06,
|
85 |
+
"loss": 0.7709,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1436265709156194,
|
90 |
+
"grad_norm": 0.6572909169517717,
|
91 |
+
"learning_rate": 5e-06,
|
92 |
+
"loss": 0.7696,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.15559545182525433,
|
97 |
+
"grad_norm": 0.9133460033726442,
|
98 |
+
"learning_rate": 5e-06,
|
99 |
+
"loss": 0.7674,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.1675643327348893,
|
104 |
+
"grad_norm": 1.3148870123285326,
|
105 |
+
"learning_rate": 5e-06,
|
106 |
+
"loss": 0.7689,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.17953321364452424,
|
111 |
+
"grad_norm": 1.2147160089970106,
|
112 |
+
"learning_rate": 5e-06,
|
113 |
+
"loss": 0.7629,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.19150209455415917,
|
118 |
+
"grad_norm": 1.0090571814802656,
|
119 |
+
"learning_rate": 5e-06,
|
120 |
+
"loss": 0.7539,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.20347097546379414,
|
125 |
+
"grad_norm": 0.6786427727932486,
|
126 |
+
"learning_rate": 5e-06,
|
127 |
+
"loss": 0.7581,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.21543985637342908,
|
132 |
+
"grad_norm": 0.6292227320745046,
|
133 |
+
"learning_rate": 5e-06,
|
134 |
+
"loss": 0.7586,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.22740873728306404,
|
139 |
+
"grad_norm": 0.7713241812517966,
|
140 |
+
"learning_rate": 5e-06,
|
141 |
+
"loss": 0.7502,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.23937761819269898,
|
146 |
+
"grad_norm": 0.7205115952689147,
|
147 |
+
"learning_rate": 5e-06,
|
148 |
+
"loss": 0.7547,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2513464991023339,
|
153 |
+
"grad_norm": 0.6517310095502118,
|
154 |
+
"learning_rate": 5e-06,
|
155 |
+
"loss": 0.7483,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.26331538001196886,
|
160 |
+
"grad_norm": 0.9369409311428439,
|
161 |
+
"learning_rate": 5e-06,
|
162 |
+
"loss": 0.746,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.27528426092160385,
|
167 |
+
"grad_norm": 0.6858210048955122,
|
168 |
+
"learning_rate": 5e-06,
|
169 |
+
"loss": 0.7441,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.2872531418312388,
|
174 |
+
"grad_norm": 0.7081095639219623,
|
175 |
+
"learning_rate": 5e-06,
|
176 |
+
"loss": 0.7445,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.2992220227408737,
|
181 |
+
"grad_norm": 0.8305808826463342,
|
182 |
+
"learning_rate": 5e-06,
|
183 |
+
"loss": 0.7422,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.31119090365050867,
|
188 |
+
"grad_norm": 0.641119207471586,
|
189 |
+
"learning_rate": 5e-06,
|
190 |
+
"loss": 0.7436,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.3231597845601436,
|
195 |
+
"grad_norm": 0.6092200095597452,
|
196 |
+
"learning_rate": 5e-06,
|
197 |
+
"loss": 0.742,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.3351286654697786,
|
202 |
+
"grad_norm": 0.7329815044595642,
|
203 |
+
"learning_rate": 5e-06,
|
204 |
+
"loss": 0.7446,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.34709754637941354,
|
209 |
+
"grad_norm": 0.837913540141014,
|
210 |
+
"learning_rate": 5e-06,
|
211 |
+
"loss": 0.7405,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.3590664272890485,
|
216 |
+
"grad_norm": 0.7796180622052511,
|
217 |
+
"learning_rate": 5e-06,
|
218 |
+
"loss": 0.7361,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.3710353081986834,
|
223 |
+
"grad_norm": 0.6206194415830822,
|
224 |
+
"learning_rate": 5e-06,
|
225 |
+
"loss": 0.7385,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.38300418910831835,
|
230 |
+
"grad_norm": 0.807676253948667,
|
231 |
+
"learning_rate": 5e-06,
|
232 |
+
"loss": 0.7354,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.39497307001795334,
|
237 |
+
"grad_norm": 0.6508042723489613,
|
238 |
+
"learning_rate": 5e-06,
|
239 |
+
"loss": 0.7342,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.4069419509275883,
|
244 |
+
"grad_norm": 1.127544531436106,
|
245 |
+
"learning_rate": 5e-06,
|
246 |
+
"loss": 0.7393,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.4189108318372232,
|
251 |
+
"grad_norm": 0.7264448945571097,
|
252 |
+
"learning_rate": 5e-06,
|
253 |
+
"loss": 0.7335,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.43087971274685816,
|
258 |
+
"grad_norm": 0.7993530026874973,
|
259 |
+
"learning_rate": 5e-06,
|
260 |
+
"loss": 0.7367,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.4428485936564931,
|
265 |
+
"grad_norm": 0.9608462791926143,
|
266 |
+
"learning_rate": 5e-06,
|
267 |
+
"loss": 0.7402,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.4548174745661281,
|
272 |
+
"grad_norm": 0.7292313869577105,
|
273 |
+
"learning_rate": 5e-06,
|
274 |
+
"loss": 0.7346,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.466786355475763,
|
279 |
+
"grad_norm": 1.047700429826994,
|
280 |
+
"learning_rate": 5e-06,
|
281 |
+
"loss": 0.7306,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.47875523638539796,
|
286 |
+
"grad_norm": 0.7162891952015032,
|
287 |
+
"learning_rate": 5e-06,
|
288 |
+
"loss": 0.7298,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.4907241172950329,
|
293 |
+
"grad_norm": 0.8782360080252781,
|
294 |
+
"learning_rate": 5e-06,
|
295 |
+
"loss": 0.7313,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.5026929982046678,
|
300 |
+
"grad_norm": 0.6666343216734302,
|
301 |
+
"learning_rate": 5e-06,
|
302 |
+
"loss": 0.7314,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.5146618791143028,
|
307 |
+
"grad_norm": 0.8384501076164775,
|
308 |
+
"learning_rate": 5e-06,
|
309 |
+
"loss": 0.7355,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.5266307600239377,
|
314 |
+
"grad_norm": 0.6150369560469455,
|
315 |
+
"learning_rate": 5e-06,
|
316 |
+
"loss": 0.7298,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.5385996409335727,
|
321 |
+
"grad_norm": 0.6124319945799728,
|
322 |
+
"learning_rate": 5e-06,
|
323 |
+
"loss": 0.7292,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.5505685218432077,
|
328 |
+
"grad_norm": 0.6189565248445754,
|
329 |
+
"learning_rate": 5e-06,
|
330 |
+
"loss": 0.7263,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.5625374027528426,
|
335 |
+
"grad_norm": 0.6421927415859262,
|
336 |
+
"learning_rate": 5e-06,
|
337 |
+
"loss": 0.7299,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.5745062836624776,
|
342 |
+
"grad_norm": 0.7163639686041191,
|
343 |
+
"learning_rate": 5e-06,
|
344 |
+
"loss": 0.7288,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.5864751645721125,
|
349 |
+
"grad_norm": 0.7901780871296374,
|
350 |
+
"learning_rate": 5e-06,
|
351 |
+
"loss": 0.7233,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.5984440454817475,
|
356 |
+
"grad_norm": 0.6075768057357427,
|
357 |
+
"learning_rate": 5e-06,
|
358 |
+
"loss": 0.7285,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.6104129263913824,
|
363 |
+
"grad_norm": 0.7432513250953633,
|
364 |
+
"learning_rate": 5e-06,
|
365 |
+
"loss": 0.7255,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.6223818073010173,
|
370 |
+
"grad_norm": 0.6882126061650138,
|
371 |
+
"learning_rate": 5e-06,
|
372 |
+
"loss": 0.7228,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.6343506882106523,
|
377 |
+
"grad_norm": 0.6444331452668448,
|
378 |
+
"learning_rate": 5e-06,
|
379 |
+
"loss": 0.7208,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.6463195691202872,
|
384 |
+
"grad_norm": 0.6113206044775283,
|
385 |
+
"learning_rate": 5e-06,
|
386 |
+
"loss": 0.725,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.6582884500299222,
|
391 |
+
"grad_norm": 0.6186132585168679,
|
392 |
+
"learning_rate": 5e-06,
|
393 |
+
"loss": 0.7237,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.6702573309395572,
|
398 |
+
"grad_norm": 0.8008035313826654,
|
399 |
+
"learning_rate": 5e-06,
|
400 |
+
"loss": 0.7214,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.6822262118491921,
|
405 |
+
"grad_norm": 0.7712979616981473,
|
406 |
+
"learning_rate": 5e-06,
|
407 |
+
"loss": 0.7201,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.6941950927588271,
|
412 |
+
"grad_norm": 0.771784813198081,
|
413 |
+
"learning_rate": 5e-06,
|
414 |
+
"loss": 0.712,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.706163973668462,
|
419 |
+
"grad_norm": 0.7490151127607958,
|
420 |
+
"learning_rate": 5e-06,
|
421 |
+
"loss": 0.7186,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.718132854578097,
|
426 |
+
"grad_norm": 0.7472145149920045,
|
427 |
+
"learning_rate": 5e-06,
|
428 |
+
"loss": 0.7215,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.7301017354877319,
|
433 |
+
"grad_norm": 0.669766192904856,
|
434 |
+
"learning_rate": 5e-06,
|
435 |
+
"loss": 0.7203,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.7420706163973668,
|
440 |
+
"grad_norm": 0.7074773906209623,
|
441 |
+
"learning_rate": 5e-06,
|
442 |
+
"loss": 0.7206,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.7540394973070018,
|
447 |
+
"grad_norm": 0.6359019991344024,
|
448 |
+
"learning_rate": 5e-06,
|
449 |
+
"loss": 0.7173,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.7660083782166367,
|
454 |
+
"grad_norm": 0.7248185956514057,
|
455 |
+
"learning_rate": 5e-06,
|
456 |
+
"loss": 0.715,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.7779772591262717,
|
461 |
+
"grad_norm": 0.5916566575834068,
|
462 |
+
"learning_rate": 5e-06,
|
463 |
+
"loss": 0.7153,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.7899461400359067,
|
468 |
+
"grad_norm": 0.9435696828561574,
|
469 |
+
"learning_rate": 5e-06,
|
470 |
+
"loss": 0.7132,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.8019150209455416,
|
475 |
+
"grad_norm": 1.043671294723693,
|
476 |
+
"learning_rate": 5e-06,
|
477 |
+
"loss": 0.7208,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.8138839018551766,
|
482 |
+
"grad_norm": 0.6012906477211288,
|
483 |
+
"learning_rate": 5e-06,
|
484 |
+
"loss": 0.7169,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.8258527827648114,
|
489 |
+
"grad_norm": 0.6760825364942948,
|
490 |
+
"learning_rate": 5e-06,
|
491 |
+
"loss": 0.7099,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.8378216636744464,
|
496 |
+
"grad_norm": 0.6518956331777058,
|
497 |
+
"learning_rate": 5e-06,
|
498 |
+
"loss": 0.7148,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.8497905445840814,
|
503 |
+
"grad_norm": 0.7071013655191297,
|
504 |
+
"learning_rate": 5e-06,
|
505 |
+
"loss": 0.714,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.8617594254937163,
|
510 |
+
"grad_norm": 0.6247282830782587,
|
511 |
+
"learning_rate": 5e-06,
|
512 |
+
"loss": 0.7147,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.8737283064033513,
|
517 |
+
"grad_norm": 0.6919222170502861,
|
518 |
+
"learning_rate": 5e-06,
|
519 |
+
"loss": 0.7128,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.8856971873129862,
|
524 |
+
"grad_norm": 0.6537145672155599,
|
525 |
+
"learning_rate": 5e-06,
|
526 |
+
"loss": 0.7162,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.8976660682226212,
|
531 |
+
"grad_norm": 0.68375157978155,
|
532 |
+
"learning_rate": 5e-06,
|
533 |
+
"loss": 0.7147,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.9096349491322562,
|
538 |
+
"grad_norm": 0.6647354124963691,
|
539 |
+
"learning_rate": 5e-06,
|
540 |
+
"loss": 0.7126,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.9216038300418911,
|
545 |
+
"grad_norm": 0.5977043002608496,
|
546 |
+
"learning_rate": 5e-06,
|
547 |
+
"loss": 0.7149,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.933572710951526,
|
552 |
+
"grad_norm": 0.5976562834062398,
|
553 |
+
"learning_rate": 5e-06,
|
554 |
+
"loss": 0.715,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.9455415918611609,
|
559 |
+
"grad_norm": 0.6047572754156897,
|
560 |
+
"learning_rate": 5e-06,
|
561 |
+
"loss": 0.7098,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.9575104727707959,
|
566 |
+
"grad_norm": 0.7904694447754029,
|
567 |
+
"learning_rate": 5e-06,
|
568 |
+
"loss": 0.7144,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.9694793536804309,
|
573 |
+
"grad_norm": 0.5807742093881076,
|
574 |
+
"learning_rate": 5e-06,
|
575 |
+
"loss": 0.7101,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.9814482345900658,
|
580 |
+
"grad_norm": 0.7039850599689602,
|
581 |
+
"learning_rate": 5e-06,
|
582 |
+
"loss": 0.7148,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.9934171154997008,
|
587 |
+
"grad_norm": 0.6174865022883058,
|
588 |
+
"learning_rate": 5e-06,
|
589 |
+
"loss": 0.7062,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.9994015559545183,
|
594 |
+
"eval_loss": 0.7114372849464417,
|
595 |
+
"eval_runtime": 147.5298,
|
596 |
+
"eval_samples_per_second": 152.606,
|
597 |
+
"eval_steps_per_second": 0.596,
|
598 |
+
"step": 835
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.0053859964093357,
|
602 |
+
"grad_norm": 0.8962593548100513,
|
603 |
+
"learning_rate": 5e-06,
|
604 |
+
"loss": 0.728,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.0173548773189707,
|
609 |
+
"grad_norm": 0.7772228818285795,
|
610 |
+
"learning_rate": 5e-06,
|
611 |
+
"loss": 0.6687,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.0293237582286057,
|
616 |
+
"grad_norm": 0.7166716512779154,
|
617 |
+
"learning_rate": 5e-06,
|
618 |
+
"loss": 0.6638,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.0412926391382407,
|
623 |
+
"grad_norm": 0.6621044482167691,
|
624 |
+
"learning_rate": 5e-06,
|
625 |
+
"loss": 0.6701,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.0532615200478754,
|
630 |
+
"grad_norm": 0.6053908490954104,
|
631 |
+
"learning_rate": 5e-06,
|
632 |
+
"loss": 0.6647,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.0652304009575104,
|
637 |
+
"grad_norm": 0.6887973939100516,
|
638 |
+
"learning_rate": 5e-06,
|
639 |
+
"loss": 0.6638,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.0771992818671454,
|
644 |
+
"grad_norm": 0.702826603937809,
|
645 |
+
"learning_rate": 5e-06,
|
646 |
+
"loss": 0.6683,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.0891681627767804,
|
651 |
+
"grad_norm": 0.7995617189411401,
|
652 |
+
"learning_rate": 5e-06,
|
653 |
+
"loss": 0.6661,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.1011370436864154,
|
658 |
+
"grad_norm": 0.6519665847110662,
|
659 |
+
"learning_rate": 5e-06,
|
660 |
+
"loss": 0.6656,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.1131059245960502,
|
665 |
+
"grad_norm": 0.6273625611261167,
|
666 |
+
"learning_rate": 5e-06,
|
667 |
+
"loss": 0.6642,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.1250748055056852,
|
672 |
+
"grad_norm": 0.7185612601640737,
|
673 |
+
"learning_rate": 5e-06,
|
674 |
+
"loss": 0.6655,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.1370436864153202,
|
679 |
+
"grad_norm": 0.6572849791275432,
|
680 |
+
"learning_rate": 5e-06,
|
681 |
+
"loss": 0.6694,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.1490125673249552,
|
686 |
+
"grad_norm": 0.6670384809386003,
|
687 |
+
"learning_rate": 5e-06,
|
688 |
+
"loss": 0.6702,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.1609814482345902,
|
693 |
+
"grad_norm": 0.6742291672674092,
|
694 |
+
"learning_rate": 5e-06,
|
695 |
+
"loss": 0.6694,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.172950329144225,
|
700 |
+
"grad_norm": 0.7341117675868765,
|
701 |
+
"learning_rate": 5e-06,
|
702 |
+
"loss": 0.6661,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.18491921005386,
|
707 |
+
"grad_norm": 0.647754764205428,
|
708 |
+
"learning_rate": 5e-06,
|
709 |
+
"loss": 0.6626,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.196888090963495,
|
714 |
+
"grad_norm": 0.6349210444739344,
|
715 |
+
"learning_rate": 5e-06,
|
716 |
+
"loss": 0.673,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.20885697187313,
|
721 |
+
"grad_norm": 0.7055438799763827,
|
722 |
+
"learning_rate": 5e-06,
|
723 |
+
"loss": 0.6678,
|
724 |
+
"step": 1010
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 1.220825852782765,
|
728 |
+
"grad_norm": 0.5932598557482555,
|
729 |
+
"learning_rate": 5e-06,
|
730 |
+
"loss": 0.6636,
|
731 |
+
"step": 1020
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 1.2327947336923997,
|
735 |
+
"grad_norm": 0.5945872005782129,
|
736 |
+
"learning_rate": 5e-06,
|
737 |
+
"loss": 0.6734,
|
738 |
+
"step": 1030
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 1.2447636146020347,
|
742 |
+
"grad_norm": 0.6634460553155971,
|
743 |
+
"learning_rate": 5e-06,
|
744 |
+
"loss": 0.6686,
|
745 |
+
"step": 1040
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 1.2567324955116697,
|
749 |
+
"grad_norm": 0.6119696190494924,
|
750 |
+
"learning_rate": 5e-06,
|
751 |
+
"loss": 0.6632,
|
752 |
+
"step": 1050
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 1.2687013764213046,
|
756 |
+
"grad_norm": 0.5680998374934575,
|
757 |
+
"learning_rate": 5e-06,
|
758 |
+
"loss": 0.6639,
|
759 |
+
"step": 1060
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 1.2806702573309394,
|
763 |
+
"grad_norm": 0.7632716086431686,
|
764 |
+
"learning_rate": 5e-06,
|
765 |
+
"loss": 0.6707,
|
766 |
+
"step": 1070
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 1.2926391382405744,
|
770 |
+
"grad_norm": 0.5773596573256996,
|
771 |
+
"learning_rate": 5e-06,
|
772 |
+
"loss": 0.667,
|
773 |
+
"step": 1080
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.3046080191502094,
|
777 |
+
"grad_norm": 0.7249658131418688,
|
778 |
+
"learning_rate": 5e-06,
|
779 |
+
"loss": 0.6627,
|
780 |
+
"step": 1090
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 1.3165769000598444,
|
784 |
+
"grad_norm": 0.6627381756172364,
|
785 |
+
"learning_rate": 5e-06,
|
786 |
+
"loss": 0.67,
|
787 |
+
"step": 1100
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 1.3285457809694794,
|
791 |
+
"grad_norm": 0.5614593187441069,
|
792 |
+
"learning_rate": 5e-06,
|
793 |
+
"loss": 0.6647,
|
794 |
+
"step": 1110
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.3405146618791144,
|
798 |
+
"grad_norm": 0.582853382816816,
|
799 |
+
"learning_rate": 5e-06,
|
800 |
+
"loss": 0.6669,
|
801 |
+
"step": 1120
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 1.3524835427887494,
|
805 |
+
"grad_norm": 0.7100796913546954,
|
806 |
+
"learning_rate": 5e-06,
|
807 |
+
"loss": 0.6726,
|
808 |
+
"step": 1130
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 1.3644524236983842,
|
812 |
+
"grad_norm": 0.6440445846779764,
|
813 |
+
"learning_rate": 5e-06,
|
814 |
+
"loss": 0.6645,
|
815 |
+
"step": 1140
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 1.3764213046080191,
|
819 |
+
"grad_norm": 0.6414609210769443,
|
820 |
+
"learning_rate": 5e-06,
|
821 |
+
"loss": 0.6649,
|
822 |
+
"step": 1150
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 1.3883901855176541,
|
826 |
+
"grad_norm": 0.6066442073205667,
|
827 |
+
"learning_rate": 5e-06,
|
828 |
+
"loss": 0.6671,
|
829 |
+
"step": 1160
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 1.400359066427289,
|
833 |
+
"grad_norm": 0.5517122631957174,
|
834 |
+
"learning_rate": 5e-06,
|
835 |
+
"loss": 0.6676,
|
836 |
+
"step": 1170
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 1.412327947336924,
|
840 |
+
"grad_norm": 0.6431261043778982,
|
841 |
+
"learning_rate": 5e-06,
|
842 |
+
"loss": 0.6639,
|
843 |
+
"step": 1180
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 1.424296828246559,
|
847 |
+
"grad_norm": 0.7260721545398744,
|
848 |
+
"learning_rate": 5e-06,
|
849 |
+
"loss": 0.6701,
|
850 |
+
"step": 1190
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 1.436265709156194,
|
854 |
+
"grad_norm": 0.7161457181189081,
|
855 |
+
"learning_rate": 5e-06,
|
856 |
+
"loss": 0.6559,
|
857 |
+
"step": 1200
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 1.4482345900658289,
|
861 |
+
"grad_norm": 0.6352035083119371,
|
862 |
+
"learning_rate": 5e-06,
|
863 |
+
"loss": 0.6681,
|
864 |
+
"step": 1210
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 1.4602034709754639,
|
868 |
+
"grad_norm": 0.7063524982241797,
|
869 |
+
"learning_rate": 5e-06,
|
870 |
+
"loss": 0.6654,
|
871 |
+
"step": 1220
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 1.4721723518850989,
|
875 |
+
"grad_norm": 0.6879403956072693,
|
876 |
+
"learning_rate": 5e-06,
|
877 |
+
"loss": 0.6694,
|
878 |
+
"step": 1230
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.4841412327947336,
|
882 |
+
"grad_norm": 0.6783332447999513,
|
883 |
+
"learning_rate": 5e-06,
|
884 |
+
"loss": 0.6666,
|
885 |
+
"step": 1240
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 1.4961101137043686,
|
889 |
+
"grad_norm": 0.6478235600361606,
|
890 |
+
"learning_rate": 5e-06,
|
891 |
+
"loss": 0.6675,
|
892 |
+
"step": 1250
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 1.5080789946140036,
|
896 |
+
"grad_norm": 0.5883450422091347,
|
897 |
+
"learning_rate": 5e-06,
|
898 |
+
"loss": 0.6645,
|
899 |
+
"step": 1260
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 1.5200478755236384,
|
903 |
+
"grad_norm": 0.6660437650036387,
|
904 |
+
"learning_rate": 5e-06,
|
905 |
+
"loss": 0.6611,
|
906 |
+
"step": 1270
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 1.5320167564332734,
|
910 |
+
"grad_norm": 0.5948419571007313,
|
911 |
+
"learning_rate": 5e-06,
|
912 |
+
"loss": 0.6661,
|
913 |
+
"step": 1280
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 1.5439856373429084,
|
917 |
+
"grad_norm": 0.5853041784577795,
|
918 |
+
"learning_rate": 5e-06,
|
919 |
+
"loss": 0.6681,
|
920 |
+
"step": 1290
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.5559545182525434,
|
924 |
+
"grad_norm": 0.7356480278739408,
|
925 |
+
"learning_rate": 5e-06,
|
926 |
+
"loss": 0.6678,
|
927 |
+
"step": 1300
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 1.5679233991621784,
|
931 |
+
"grad_norm": 0.6949205522779035,
|
932 |
+
"learning_rate": 5e-06,
|
933 |
+
"loss": 0.6669,
|
934 |
+
"step": 1310
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 1.5798922800718134,
|
938 |
+
"grad_norm": 0.6507079001414935,
|
939 |
+
"learning_rate": 5e-06,
|
940 |
+
"loss": 0.67,
|
941 |
+
"step": 1320
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 1.5918611609814484,
|
945 |
+
"grad_norm": 0.6100230292150697,
|
946 |
+
"learning_rate": 5e-06,
|
947 |
+
"loss": 0.6653,
|
948 |
+
"step": 1330
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 1.6038300418910831,
|
952 |
+
"grad_norm": 0.594443951679209,
|
953 |
+
"learning_rate": 5e-06,
|
954 |
+
"loss": 0.664,
|
955 |
+
"step": 1340
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 1.6157989228007181,
|
959 |
+
"grad_norm": 0.6096985220862555,
|
960 |
+
"learning_rate": 5e-06,
|
961 |
+
"loss": 0.6647,
|
962 |
+
"step": 1350
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.6277678037103531,
|
966 |
+
"grad_norm": 0.5760594804542581,
|
967 |
+
"learning_rate": 5e-06,
|
968 |
+
"loss": 0.6669,
|
969 |
+
"step": 1360
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.639736684619988,
|
973 |
+
"grad_norm": 0.691475316154413,
|
974 |
+
"learning_rate": 5e-06,
|
975 |
+
"loss": 0.6659,
|
976 |
+
"step": 1370
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 1.6517055655296229,
|
980 |
+
"grad_norm": 0.6527081133567483,
|
981 |
+
"learning_rate": 5e-06,
|
982 |
+
"loss": 0.6682,
|
983 |
+
"step": 1380
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 1.6636744464392579,
|
987 |
+
"grad_norm": 0.620764034153086,
|
988 |
+
"learning_rate": 5e-06,
|
989 |
+
"loss": 0.6658,
|
990 |
+
"step": 1390
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 1.6756433273488929,
|
994 |
+
"grad_norm": 0.5624863643686968,
|
995 |
+
"learning_rate": 5e-06,
|
996 |
+
"loss": 0.6629,
|
997 |
+
"step": 1400
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 1.6876122082585279,
|
1001 |
+
"grad_norm": 0.5866917073665039,
|
1002 |
+
"learning_rate": 5e-06,
|
1003 |
+
"loss": 0.662,
|
1004 |
+
"step": 1410
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 1.6995810891681629,
|
1008 |
+
"grad_norm": 0.5725120938110386,
|
1009 |
+
"learning_rate": 5e-06,
|
1010 |
+
"loss": 0.6679,
|
1011 |
+
"step": 1420
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 1.7115499700777979,
|
1015 |
+
"grad_norm": 0.6259302322367788,
|
1016 |
+
"learning_rate": 5e-06,
|
1017 |
+
"loss": 0.6681,
|
1018 |
+
"step": 1430
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 1.7235188509874326,
|
1022 |
+
"grad_norm": 0.6855515829037336,
|
1023 |
+
"learning_rate": 5e-06,
|
1024 |
+
"loss": 0.6642,
|
1025 |
+
"step": 1440
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 1.7354877318970676,
|
1029 |
+
"grad_norm": 0.586477759363614,
|
1030 |
+
"learning_rate": 5e-06,
|
1031 |
+
"loss": 0.6645,
|
1032 |
+
"step": 1450
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 1.7474566128067026,
|
1036 |
+
"grad_norm": 0.7473190145452194,
|
1037 |
+
"learning_rate": 5e-06,
|
1038 |
+
"loss": 0.6657,
|
1039 |
+
"step": 1460
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 1.7594254937163374,
|
1043 |
+
"grad_norm": 0.6856637572630547,
|
1044 |
+
"learning_rate": 5e-06,
|
1045 |
+
"loss": 0.6666,
|
1046 |
+
"step": 1470
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 1.7713943746259724,
|
1050 |
+
"grad_norm": 0.6356257155539595,
|
1051 |
+
"learning_rate": 5e-06,
|
1052 |
+
"loss": 0.6632,
|
1053 |
+
"step": 1480
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 1.7833632555356074,
|
1057 |
+
"grad_norm": 0.5780948416794784,
|
1058 |
+
"learning_rate": 5e-06,
|
1059 |
+
"loss": 0.6651,
|
1060 |
+
"step": 1490
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 1.7953321364452424,
|
1064 |
+
"grad_norm": 0.6040049759436176,
|
1065 |
+
"learning_rate": 5e-06,
|
1066 |
+
"loss": 0.6687,
|
1067 |
+
"step": 1500
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 1.8073010173548774,
|
1071 |
+
"grad_norm": 0.6116754536140059,
|
1072 |
+
"learning_rate": 5e-06,
|
1073 |
+
"loss": 0.6611,
|
1074 |
+
"step": 1510
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 1.8192698982645124,
|
1078 |
+
"grad_norm": 0.6285933290005205,
|
1079 |
+
"learning_rate": 5e-06,
|
1080 |
+
"loss": 0.6685,
|
1081 |
+
"step": 1520
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 1.8312387791741473,
|
1085 |
+
"grad_norm": 0.6069230952248156,
|
1086 |
+
"learning_rate": 5e-06,
|
1087 |
+
"loss": 0.6633,
|
1088 |
+
"step": 1530
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 1.8432076600837821,
|
1092 |
+
"grad_norm": 0.5757493835177011,
|
1093 |
+
"learning_rate": 5e-06,
|
1094 |
+
"loss": 0.6595,
|
1095 |
+
"step": 1540
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 1.8551765409934171,
|
1099 |
+
"grad_norm": 0.6335783323377564,
|
1100 |
+
"learning_rate": 5e-06,
|
1101 |
+
"loss": 0.6667,
|
1102 |
+
"step": 1550
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 1.867145421903052,
|
1106 |
+
"grad_norm": 0.5676650286620293,
|
1107 |
+
"learning_rate": 5e-06,
|
1108 |
+
"loss": 0.662,
|
1109 |
+
"step": 1560
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 1.8791143028126869,
|
1113 |
+
"grad_norm": 0.6035969519376175,
|
1114 |
+
"learning_rate": 5e-06,
|
1115 |
+
"loss": 0.6628,
|
1116 |
+
"step": 1570
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 1.8910831837223219,
|
1120 |
+
"grad_norm": 0.5896338538296376,
|
1121 |
+
"learning_rate": 5e-06,
|
1122 |
+
"loss": 0.664,
|
1123 |
+
"step": 1580
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 1.9030520646319569,
|
1127 |
+
"grad_norm": 0.6039070875737724,
|
1128 |
+
"learning_rate": 5e-06,
|
1129 |
+
"loss": 0.6658,
|
1130 |
+
"step": 1590
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 1.9150209455415919,
|
1134 |
+
"grad_norm": 0.6567541390615723,
|
1135 |
+
"learning_rate": 5e-06,
|
1136 |
+
"loss": 0.6622,
|
1137 |
+
"step": 1600
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 1.9269898264512269,
|
1141 |
+
"grad_norm": 0.6276807530688414,
|
1142 |
+
"learning_rate": 5e-06,
|
1143 |
+
"loss": 0.6604,
|
1144 |
+
"step": 1610
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 1.9389587073608618,
|
1148 |
+
"grad_norm": 0.8336847726568148,
|
1149 |
+
"learning_rate": 5e-06,
|
1150 |
+
"loss": 0.6663,
|
1151 |
+
"step": 1620
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 1.9509275882704968,
|
1155 |
+
"grad_norm": 0.7013759476620051,
|
1156 |
+
"learning_rate": 5e-06,
|
1157 |
+
"loss": 0.6664,
|
1158 |
+
"step": 1630
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 1.9628964691801316,
|
1162 |
+
"grad_norm": 0.611731666630219,
|
1163 |
+
"learning_rate": 5e-06,
|
1164 |
+
"loss": 0.6663,
|
1165 |
+
"step": 1640
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 1.9748653500897666,
|
1169 |
+
"grad_norm": 0.7128314798758998,
|
1170 |
+
"learning_rate": 5e-06,
|
1171 |
+
"loss": 0.6692,
|
1172 |
+
"step": 1650
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 1.9868342309994016,
|
1176 |
+
"grad_norm": 0.6475123732829592,
|
1177 |
+
"learning_rate": 5e-06,
|
1178 |
+
"loss": 0.6627,
|
1179 |
+
"step": 1660
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 1.9988031119090364,
|
1183 |
+
"grad_norm": 0.6022136617663713,
|
1184 |
+
"learning_rate": 5e-06,
|
1185 |
+
"loss": 0.6629,
|
1186 |
+
"step": 1670
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 2.0,
|
1190 |
+
"eval_loss": 0.7005711197853088,
|
1191 |
+
"eval_runtime": 146.1272,
|
1192 |
+
"eval_samples_per_second": 154.071,
|
1193 |
+
"eval_steps_per_second": 0.602,
|
1194 |
+
"step": 1671
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 2.0107719928186714,
|
1198 |
+
"grad_norm": 0.7068198157977486,
|
1199 |
+
"learning_rate": 5e-06,
|
1200 |
+
"loss": 0.6508,
|
1201 |
+
"step": 1680
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"epoch": 2.0227408737283064,
|
1205 |
+
"grad_norm": 0.7453932940551323,
|
1206 |
+
"learning_rate": 5e-06,
|
1207 |
+
"loss": 0.6156,
|
1208 |
+
"step": 1690
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 2.0347097546379413,
|
1212 |
+
"grad_norm": 0.8134275271355035,
|
1213 |
+
"learning_rate": 5e-06,
|
1214 |
+
"loss": 0.6119,
|
1215 |
+
"step": 1700
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 2.0466786355475763,
|
1219 |
+
"grad_norm": 0.7119278959971719,
|
1220 |
+
"learning_rate": 5e-06,
|
1221 |
+
"loss": 0.6121,
|
1222 |
+
"step": 1710
|
1223 |
+
},
|
1224 |
+
{
|
1225 |
+
"epoch": 2.0586475164572113,
|
1226 |
+
"grad_norm": 0.581844000106152,
|
1227 |
+
"learning_rate": 5e-06,
|
1228 |
+
"loss": 0.614,
|
1229 |
+
"step": 1720
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 2.0706163973668463,
|
1233 |
+
"grad_norm": 0.6161063490938795,
|
1234 |
+
"learning_rate": 5e-06,
|
1235 |
+
"loss": 0.6179,
|
1236 |
+
"step": 1730
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 2.0825852782764813,
|
1240 |
+
"grad_norm": 0.6987854084656979,
|
1241 |
+
"learning_rate": 5e-06,
|
1242 |
+
"loss": 0.6166,
|
1243 |
+
"step": 1740
|
1244 |
+
},
|
1245 |
+
{
|
1246 |
+
"epoch": 2.0945541591861163,
|
1247 |
+
"grad_norm": 0.6139695159601696,
|
1248 |
+
"learning_rate": 5e-06,
|
1249 |
+
"loss": 0.6181,
|
1250 |
+
"step": 1750
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 2.106523040095751,
|
1254 |
+
"grad_norm": 0.6608056746575605,
|
1255 |
+
"learning_rate": 5e-06,
|
1256 |
+
"loss": 0.6169,
|
1257 |
+
"step": 1760
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 2.118491921005386,
|
1261 |
+
"grad_norm": 0.8330792159736297,
|
1262 |
+
"learning_rate": 5e-06,
|
1263 |
+
"loss": 0.621,
|
1264 |
+
"step": 1770
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 2.130460801915021,
|
1268 |
+
"grad_norm": 0.6496515220438018,
|
1269 |
+
"learning_rate": 5e-06,
|
1270 |
+
"loss": 0.6168,
|
1271 |
+
"step": 1780
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 2.142429682824656,
|
1275 |
+
"grad_norm": 0.5764478857585879,
|
1276 |
+
"learning_rate": 5e-06,
|
1277 |
+
"loss": 0.6172,
|
1278 |
+
"step": 1790
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 2.154398563734291,
|
1282 |
+
"grad_norm": 0.5983155038303072,
|
1283 |
+
"learning_rate": 5e-06,
|
1284 |
+
"loss": 0.6165,
|
1285 |
+
"step": 1800
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 2.166367444643926,
|
1289 |
+
"grad_norm": 0.6670875041460964,
|
1290 |
+
"learning_rate": 5e-06,
|
1291 |
+
"loss": 0.6154,
|
1292 |
+
"step": 1810
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 2.178336325553561,
|
1296 |
+
"grad_norm": 0.5905406904657257,
|
1297 |
+
"learning_rate": 5e-06,
|
1298 |
+
"loss": 0.6136,
|
1299 |
+
"step": 1820
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 2.190305206463196,
|
1303 |
+
"grad_norm": 0.7480577496080604,
|
1304 |
+
"learning_rate": 5e-06,
|
1305 |
+
"loss": 0.6174,
|
1306 |
+
"step": 1830
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 2.202274087372831,
|
1310 |
+
"grad_norm": 0.6481682954787796,
|
1311 |
+
"learning_rate": 5e-06,
|
1312 |
+
"loss": 0.6193,
|
1313 |
+
"step": 1840
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 2.2142429682824654,
|
1317 |
+
"grad_norm": 0.697692521344505,
|
1318 |
+
"learning_rate": 5e-06,
|
1319 |
+
"loss": 0.6151,
|
1320 |
+
"step": 1850
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 2.2262118491921004,
|
1324 |
+
"grad_norm": 0.6518002225384566,
|
1325 |
+
"learning_rate": 5e-06,
|
1326 |
+
"loss": 0.62,
|
1327 |
+
"step": 1860
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 2.2381807301017353,
|
1331 |
+
"grad_norm": 0.7977413337144527,
|
1332 |
+
"learning_rate": 5e-06,
|
1333 |
+
"loss": 0.6174,
|
1334 |
+
"step": 1870
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 2.2501496110113703,
|
1338 |
+
"grad_norm": 0.6920554891456565,
|
1339 |
+
"learning_rate": 5e-06,
|
1340 |
+
"loss": 0.6206,
|
1341 |
+
"step": 1880
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 2.2621184919210053,
|
1345 |
+
"grad_norm": 1.0045237891952645,
|
1346 |
+
"learning_rate": 5e-06,
|
1347 |
+
"loss": 0.6174,
|
1348 |
+
"step": 1890
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 2.2740873728306403,
|
1352 |
+
"grad_norm": 0.7405972846803555,
|
1353 |
+
"learning_rate": 5e-06,
|
1354 |
+
"loss": 0.6218,
|
1355 |
+
"step": 1900
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 2.2860562537402753,
|
1359 |
+
"grad_norm": 0.7565616201062902,
|
1360 |
+
"learning_rate": 5e-06,
|
1361 |
+
"loss": 0.6212,
|
1362 |
+
"step": 1910
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 2.2980251346499103,
|
1366 |
+
"grad_norm": 0.6602100152398376,
|
1367 |
+
"learning_rate": 5e-06,
|
1368 |
+
"loss": 0.6165,
|
1369 |
+
"step": 1920
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 2.3099940155595453,
|
1373 |
+
"grad_norm": 0.6690244571651464,
|
1374 |
+
"learning_rate": 5e-06,
|
1375 |
+
"loss": 0.6213,
|
1376 |
+
"step": 1930
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 2.3219628964691803,
|
1380 |
+
"grad_norm": 0.7205634813241224,
|
1381 |
+
"learning_rate": 5e-06,
|
1382 |
+
"loss": 0.6199,
|
1383 |
+
"step": 1940
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 2.3339317773788153,
|
1387 |
+
"grad_norm": 0.6533808767235285,
|
1388 |
+
"learning_rate": 5e-06,
|
1389 |
+
"loss": 0.6197,
|
1390 |
+
"step": 1950
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 2.34590065828845,
|
1394 |
+
"grad_norm": 0.6671459242816263,
|
1395 |
+
"learning_rate": 5e-06,
|
1396 |
+
"loss": 0.6248,
|
1397 |
+
"step": 1960
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 2.357869539198085,
|
1401 |
+
"grad_norm": 0.5765039507445094,
|
1402 |
+
"learning_rate": 5e-06,
|
1403 |
+
"loss": 0.6198,
|
1404 |
+
"step": 1970
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 2.36983842010772,
|
1408 |
+
"grad_norm": 0.6003833286471706,
|
1409 |
+
"learning_rate": 5e-06,
|
1410 |
+
"loss": 0.6211,
|
1411 |
+
"step": 1980
|
1412 |
+
},
|
1413 |
+
{
|
1414 |
+
"epoch": 2.381807301017355,
|
1415 |
+
"grad_norm": 0.6310887330444114,
|
1416 |
+
"learning_rate": 5e-06,
|
1417 |
+
"loss": 0.6181,
|
1418 |
+
"step": 1990
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 2.39377618192699,
|
1422 |
+
"grad_norm": 0.6533436296134522,
|
1423 |
+
"learning_rate": 5e-06,
|
1424 |
+
"loss": 0.6223,
|
1425 |
+
"step": 2000
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 2.405745062836625,
|
1429 |
+
"grad_norm": 0.7613938683728527,
|
1430 |
+
"learning_rate": 5e-06,
|
1431 |
+
"loss": 0.6209,
|
1432 |
+
"step": 2010
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 2.41771394374626,
|
1436 |
+
"grad_norm": 0.7227768963538012,
|
1437 |
+
"learning_rate": 5e-06,
|
1438 |
+
"loss": 0.6203,
|
1439 |
+
"step": 2020
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 2.429682824655895,
|
1443 |
+
"grad_norm": 0.8304498753841795,
|
1444 |
+
"learning_rate": 5e-06,
|
1445 |
+
"loss": 0.6154,
|
1446 |
+
"step": 2030
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 2.44165170556553,
|
1450 |
+
"grad_norm": 0.7574321335984159,
|
1451 |
+
"learning_rate": 5e-06,
|
1452 |
+
"loss": 0.6221,
|
1453 |
+
"step": 2040
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"epoch": 2.4536205864751643,
|
1457 |
+
"grad_norm": 0.6154411257768034,
|
1458 |
+
"learning_rate": 5e-06,
|
1459 |
+
"loss": 0.6213,
|
1460 |
+
"step": 2050
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 2.4655894673847993,
|
1464 |
+
"grad_norm": 0.6619336134055549,
|
1465 |
+
"learning_rate": 5e-06,
|
1466 |
+
"loss": 0.6229,
|
1467 |
+
"step": 2060
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 2.4775583482944343,
|
1471 |
+
"grad_norm": 0.5882549911232717,
|
1472 |
+
"learning_rate": 5e-06,
|
1473 |
+
"loss": 0.62,
|
1474 |
+
"step": 2070
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 2.4895272292040693,
|
1478 |
+
"grad_norm": 0.6446559545029906,
|
1479 |
+
"learning_rate": 5e-06,
|
1480 |
+
"loss": 0.6256,
|
1481 |
+
"step": 2080
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 2.5014961101137043,
|
1485 |
+
"grad_norm": 0.6769098922036072,
|
1486 |
+
"learning_rate": 5e-06,
|
1487 |
+
"loss": 0.6233,
|
1488 |
+
"step": 2090
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 2.5134649910233393,
|
1492 |
+
"grad_norm": 0.7292441062228914,
|
1493 |
+
"learning_rate": 5e-06,
|
1494 |
+
"loss": 0.6193,
|
1495 |
+
"step": 2100
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 2.5254338719329743,
|
1499 |
+
"grad_norm": 0.8318160977446282,
|
1500 |
+
"learning_rate": 5e-06,
|
1501 |
+
"loss": 0.6187,
|
1502 |
+
"step": 2110
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 2.5374027528426093,
|
1506 |
+
"grad_norm": 0.6089671262894073,
|
1507 |
+
"learning_rate": 5e-06,
|
1508 |
+
"loss": 0.624,
|
1509 |
+
"step": 2120
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 2.5493716337522443,
|
1513 |
+
"grad_norm": 0.7615201829189324,
|
1514 |
+
"learning_rate": 5e-06,
|
1515 |
+
"loss": 0.6171,
|
1516 |
+
"step": 2130
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 2.561340514661879,
|
1520 |
+
"grad_norm": 0.724596159991658,
|
1521 |
+
"learning_rate": 5e-06,
|
1522 |
+
"loss": 0.6217,
|
1523 |
+
"step": 2140
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 2.5733093955715143,
|
1527 |
+
"grad_norm": 0.612004698756559,
|
1528 |
+
"learning_rate": 5e-06,
|
1529 |
+
"loss": 0.6226,
|
1530 |
+
"step": 2150
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 2.585278276481149,
|
1534 |
+
"grad_norm": 0.596628658148184,
|
1535 |
+
"learning_rate": 5e-06,
|
1536 |
+
"loss": 0.6271,
|
1537 |
+
"step": 2160
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 2.597247157390784,
|
1541 |
+
"grad_norm": 0.6069344442414866,
|
1542 |
+
"learning_rate": 5e-06,
|
1543 |
+
"loss": 0.6224,
|
1544 |
+
"step": 2170
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 2.609216038300419,
|
1548 |
+
"grad_norm": 0.6286980131185356,
|
1549 |
+
"learning_rate": 5e-06,
|
1550 |
+
"loss": 0.6212,
|
1551 |
+
"step": 2180
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 2.621184919210054,
|
1555 |
+
"grad_norm": 0.6326929087930854,
|
1556 |
+
"learning_rate": 5e-06,
|
1557 |
+
"loss": 0.6235,
|
1558 |
+
"step": 2190
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 2.633153800119689,
|
1562 |
+
"grad_norm": 0.7985721977529328,
|
1563 |
+
"learning_rate": 5e-06,
|
1564 |
+
"loss": 0.6237,
|
1565 |
+
"step": 2200
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 2.645122681029324,
|
1569 |
+
"grad_norm": 0.644881510300382,
|
1570 |
+
"learning_rate": 5e-06,
|
1571 |
+
"loss": 0.6269,
|
1572 |
+
"step": 2210
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 2.657091561938959,
|
1576 |
+
"grad_norm": 0.6012955887624781,
|
1577 |
+
"learning_rate": 5e-06,
|
1578 |
+
"loss": 0.6213,
|
1579 |
+
"step": 2220
|
1580 |
+
},
|
1581 |
+
{
|
1582 |
+
"epoch": 2.669060442848594,
|
1583 |
+
"grad_norm": 0.7267444291377996,
|
1584 |
+
"learning_rate": 5e-06,
|
1585 |
+
"loss": 0.6261,
|
1586 |
+
"step": 2230
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 2.6810293237582288,
|
1590 |
+
"grad_norm": 0.7195410501187053,
|
1591 |
+
"learning_rate": 5e-06,
|
1592 |
+
"loss": 0.6238,
|
1593 |
+
"step": 2240
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 2.6929982046678633,
|
1597 |
+
"grad_norm": 0.6633140798395725,
|
1598 |
+
"learning_rate": 5e-06,
|
1599 |
+
"loss": 0.6224,
|
1600 |
+
"step": 2250
|
1601 |
+
},
|
1602 |
+
{
|
1603 |
+
"epoch": 2.7049670855774988,
|
1604 |
+
"grad_norm": 0.6423861744102355,
|
1605 |
+
"learning_rate": 5e-06,
|
1606 |
+
"loss": 0.6245,
|
1607 |
+
"step": 2260
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 2.7169359664871333,
|
1611 |
+
"grad_norm": 0.6091203181297667,
|
1612 |
+
"learning_rate": 5e-06,
|
1613 |
+
"loss": 0.626,
|
1614 |
+
"step": 2270
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 2.7289048473967683,
|
1618 |
+
"grad_norm": 0.5794538334059404,
|
1619 |
+
"learning_rate": 5e-06,
|
1620 |
+
"loss": 0.6213,
|
1621 |
+
"step": 2280
|
1622 |
+
},
|
1623 |
+
{
|
1624 |
+
"epoch": 2.7408737283064033,
|
1625 |
+
"grad_norm": 0.6730274420363707,
|
1626 |
+
"learning_rate": 5e-06,
|
1627 |
+
"loss": 0.6257,
|
1628 |
+
"step": 2290
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 2.7528426092160383,
|
1632 |
+
"grad_norm": 0.7260668423987153,
|
1633 |
+
"learning_rate": 5e-06,
|
1634 |
+
"loss": 0.6209,
|
1635 |
+
"step": 2300
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 2.7648114901256733,
|
1639 |
+
"grad_norm": 0.6505297721856697,
|
1640 |
+
"learning_rate": 5e-06,
|
1641 |
+
"loss": 0.627,
|
1642 |
+
"step": 2310
|
1643 |
+
},
|
1644 |
+
{
|
1645 |
+
"epoch": 2.7767803710353083,
|
1646 |
+
"grad_norm": 0.6701846540950109,
|
1647 |
+
"learning_rate": 5e-06,
|
1648 |
+
"loss": 0.626,
|
1649 |
+
"step": 2320
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 2.7887492519449433,
|
1653 |
+
"grad_norm": 0.6651727549955714,
|
1654 |
+
"learning_rate": 5e-06,
|
1655 |
+
"loss": 0.6284,
|
1656 |
+
"step": 2330
|
1657 |
+
},
|
1658 |
+
{
|
1659 |
+
"epoch": 2.800718132854578,
|
1660 |
+
"grad_norm": 0.5926739432014144,
|
1661 |
+
"learning_rate": 5e-06,
|
1662 |
+
"loss": 0.6277,
|
1663 |
+
"step": 2340
|
1664 |
+
},
|
1665 |
+
{
|
1666 |
+
"epoch": 2.8126870137642133,
|
1667 |
+
"grad_norm": 0.5816608379432976,
|
1668 |
+
"learning_rate": 5e-06,
|
1669 |
+
"loss": 0.6214,
|
1670 |
+
"step": 2350
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 2.824655894673848,
|
1674 |
+
"grad_norm": 0.6395212133787649,
|
1675 |
+
"learning_rate": 5e-06,
|
1676 |
+
"loss": 0.6176,
|
1677 |
+
"step": 2360
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 2.836624775583483,
|
1681 |
+
"grad_norm": 0.6634354922942822,
|
1682 |
+
"learning_rate": 5e-06,
|
1683 |
+
"loss": 0.6228,
|
1684 |
+
"step": 2370
|
1685 |
+
},
|
1686 |
+
{
|
1687 |
+
"epoch": 2.848593656493118,
|
1688 |
+
"grad_norm": 0.608805000460622,
|
1689 |
+
"learning_rate": 5e-06,
|
1690 |
+
"loss": 0.6236,
|
1691 |
+
"step": 2380
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 2.860562537402753,
|
1695 |
+
"grad_norm": 0.6392304210790648,
|
1696 |
+
"learning_rate": 5e-06,
|
1697 |
+
"loss": 0.6247,
|
1698 |
+
"step": 2390
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 2.872531418312388,
|
1702 |
+
"grad_norm": 0.6074342205287091,
|
1703 |
+
"learning_rate": 5e-06,
|
1704 |
+
"loss": 0.6227,
|
1705 |
+
"step": 2400
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"epoch": 2.884500299222023,
|
1709 |
+
"grad_norm": 0.5852140611153283,
|
1710 |
+
"learning_rate": 5e-06,
|
1711 |
+
"loss": 0.625,
|
1712 |
+
"step": 2410
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 2.8964691801316578,
|
1716 |
+
"grad_norm": 0.7091297497420493,
|
1717 |
+
"learning_rate": 5e-06,
|
1718 |
+
"loss": 0.6195,
|
1719 |
+
"step": 2420
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 2.9084380610412928,
|
1723 |
+
"grad_norm": 0.5525054193264387,
|
1724 |
+
"learning_rate": 5e-06,
|
1725 |
+
"loss": 0.6234,
|
1726 |
+
"step": 2430
|
1727 |
+
},
|
1728 |
+
{
|
1729 |
+
"epoch": 2.9204069419509278,
|
1730 |
+
"grad_norm": 0.7138183691173519,
|
1731 |
+
"learning_rate": 5e-06,
|
1732 |
+
"loss": 0.6247,
|
1733 |
+
"step": 2440
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 2.9323758228605623,
|
1737 |
+
"grad_norm": 0.5805881225718816,
|
1738 |
+
"learning_rate": 5e-06,
|
1739 |
+
"loss": 0.623,
|
1740 |
+
"step": 2450
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 2.9443447037701977,
|
1744 |
+
"grad_norm": 0.6015585624593602,
|
1745 |
+
"learning_rate": 5e-06,
|
1746 |
+
"loss": 0.6258,
|
1747 |
+
"step": 2460
|
1748 |
+
},
|
1749 |
+
{
|
1750 |
+
"epoch": 2.9563135846798323,
|
1751 |
+
"grad_norm": 0.5689711805490192,
|
1752 |
+
"learning_rate": 5e-06,
|
1753 |
+
"loss": 0.6196,
|
1754 |
+
"step": 2470
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 2.9682824655894673,
|
1758 |
+
"grad_norm": 0.5963313497836371,
|
1759 |
+
"learning_rate": 5e-06,
|
1760 |
+
"loss": 0.6265,
|
1761 |
+
"step": 2480
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 2.9802513464991023,
|
1765 |
+
"grad_norm": 0.6519931383722206,
|
1766 |
+
"learning_rate": 5e-06,
|
1767 |
+
"loss": 0.6217,
|
1768 |
+
"step": 2490
|
1769 |
+
},
|
1770 |
+
{
|
1771 |
+
"epoch": 2.9922202274087373,
|
1772 |
+
"grad_norm": 0.5587383883911408,
|
1773 |
+
"learning_rate": 5e-06,
|
1774 |
+
"loss": 0.6193,
|
1775 |
+
"step": 2500
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 2.998204667863555,
|
1779 |
+
"eval_loss": 0.7030414938926697,
|
1780 |
+
"eval_runtime": 143.5127,
|
1781 |
+
"eval_samples_per_second": 156.878,
|
1782 |
+
"eval_steps_per_second": 0.613,
|
1783 |
+
"step": 2505
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 2.998204667863555,
|
1787 |
+
"step": 2505,
|
1788 |
+
"total_flos": 4195130781204480.0,
|
1789 |
+
"train_loss": 0.6780577095206864,
|
1790 |
+
"train_runtime": 21666.0023,
|
1791 |
+
"train_samples_per_second": 59.229,
|
1792 |
+
"train_steps_per_second": 0.116
|
1793 |
+
}
|
1794 |
+
],
|
1795 |
+
"logging_steps": 10,
|
1796 |
+
"max_steps": 2505,
|
1797 |
+
"num_input_tokens_seen": 0,
|
1798 |
+
"num_train_epochs": 3,
|
1799 |
+
"save_steps": 500,
|
1800 |
+
"stateful_callbacks": {
|
1801 |
+
"TrainerControl": {
|
1802 |
+
"args": {
|
1803 |
+
"should_epoch_stop": false,
|
1804 |
+
"should_evaluate": false,
|
1805 |
+
"should_log": false,
|
1806 |
+
"should_save": true,
|
1807 |
+
"should_training_stop": true
|
1808 |
+
},
|
1809 |
+
"attributes": {}
|
1810 |
+
}
|
1811 |
+
},
|
1812 |
+
"total_flos": 4195130781204480.0,
|
1813 |
+
"train_batch_size": 8,
|
1814 |
+
"trial_name": null,
|
1815 |
+
"trial_params": null
|
1816 |
+
}
|
training_eval_loss.png
ADDED
training_loss.png
ADDED