End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2772 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: b2_code_askllm_10k
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# b2_code_askllm_10k
|
17 |
|
18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: b2_code_askllm_10k
|
|
|
16 |
|
17 |
# b2_code_askllm_10k
|
18 |
|
19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/b2_code_askllm_10k dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.992,
|
3 |
+
"total_flos": 1.9434542678430188e+18,
|
4 |
+
"train_loss": 0.5044988004060892,
|
5 |
+
"train_runtime": 62031.5499,
|
6 |
+
"train_samples_per_second": 0.806,
|
7 |
+
"train_steps_per_second": 0.006
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.992,
|
3 |
+
"total_flos": 1.9434542678430188e+18,
|
4 |
+
"train_loss": 0.5044988004060892,
|
5 |
+
"train_runtime": 62031.5499,
|
6 |
+
"train_samples_per_second": 0.806,
|
7 |
+
"train_steps_per_second": 0.006
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2772 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.992,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 390,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0128,
|
13 |
+
"grad_norm": 6.440505180668678,
|
14 |
+
"learning_rate": 1.0256410256410257e-06,
|
15 |
+
"loss": 1.0338,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0256,
|
20 |
+
"grad_norm": 6.360134627939838,
|
21 |
+
"learning_rate": 2.0512820512820513e-06,
|
22 |
+
"loss": 1.0112,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0384,
|
27 |
+
"grad_norm": 6.268412021121898,
|
28 |
+
"learning_rate": 3.0769230769230774e-06,
|
29 |
+
"loss": 1.0222,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.0512,
|
34 |
+
"grad_norm": 5.816218990274612,
|
35 |
+
"learning_rate": 4.102564102564103e-06,
|
36 |
+
"loss": 1.0173,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.064,
|
41 |
+
"grad_norm": 4.284063377996134,
|
42 |
+
"learning_rate": 5.128205128205128e-06,
|
43 |
+
"loss": 0.9658,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.0768,
|
48 |
+
"grad_norm": 2.6899860465527485,
|
49 |
+
"learning_rate": 6.153846153846155e-06,
|
50 |
+
"loss": 0.9648,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.0896,
|
55 |
+
"grad_norm": 2.496586497267657,
|
56 |
+
"learning_rate": 7.17948717948718e-06,
|
57 |
+
"loss": 0.9224,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.1024,
|
62 |
+
"grad_norm": 4.3506016896731605,
|
63 |
+
"learning_rate": 8.205128205128205e-06,
|
64 |
+
"loss": 0.9467,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1152,
|
69 |
+
"grad_norm": 4.1490515738724145,
|
70 |
+
"learning_rate": 9.230769230769232e-06,
|
71 |
+
"loss": 0.9192,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.128,
|
76 |
+
"grad_norm": 3.948953116030095,
|
77 |
+
"learning_rate": 1.0256410256410256e-05,
|
78 |
+
"loss": 0.8814,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1408,
|
83 |
+
"grad_norm": 3.5834213792492458,
|
84 |
+
"learning_rate": 1.1282051282051283e-05,
|
85 |
+
"loss": 0.8726,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1536,
|
90 |
+
"grad_norm": 2.374696347338207,
|
91 |
+
"learning_rate": 1.230769230769231e-05,
|
92 |
+
"loss": 0.8524,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.1664,
|
97 |
+
"grad_norm": 1.7200259478397855,
|
98 |
+
"learning_rate": 1.3333333333333333e-05,
|
99 |
+
"loss": 0.8208,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.1792,
|
104 |
+
"grad_norm": 1.6523655711025134,
|
105 |
+
"learning_rate": 1.435897435897436e-05,
|
106 |
+
"loss": 0.7982,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.192,
|
111 |
+
"grad_norm": 1.3117464345799783,
|
112 |
+
"learning_rate": 1.5384615384615387e-05,
|
113 |
+
"loss": 0.776,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.2048,
|
118 |
+
"grad_norm": 1.0872725354418016,
|
119 |
+
"learning_rate": 1.641025641025641e-05,
|
120 |
+
"loss": 0.7718,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.2176,
|
125 |
+
"grad_norm": 1.2630060897661322,
|
126 |
+
"learning_rate": 1.7435897435897438e-05,
|
127 |
+
"loss": 0.7649,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2304,
|
132 |
+
"grad_norm": 1.1285511450226429,
|
133 |
+
"learning_rate": 1.8461538461538465e-05,
|
134 |
+
"loss": 0.7453,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2432,
|
139 |
+
"grad_norm": 0.8713404568210159,
|
140 |
+
"learning_rate": 1.9487179487179488e-05,
|
141 |
+
"loss": 0.7418,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.256,
|
146 |
+
"grad_norm": 1.1022623507071383,
|
147 |
+
"learning_rate": 2.0512820512820512e-05,
|
148 |
+
"loss": 0.7295,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2688,
|
153 |
+
"grad_norm": 1.1636613532977724,
|
154 |
+
"learning_rate": 2.153846153846154e-05,
|
155 |
+
"loss": 0.719,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.2816,
|
160 |
+
"grad_norm": 0.9325043449885487,
|
161 |
+
"learning_rate": 2.2564102564102566e-05,
|
162 |
+
"loss": 0.7254,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.2944,
|
167 |
+
"grad_norm": 1.090542169821071,
|
168 |
+
"learning_rate": 2.3589743589743593e-05,
|
169 |
+
"loss": 0.7139,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3072,
|
174 |
+
"grad_norm": 0.842549769847692,
|
175 |
+
"learning_rate": 2.461538461538462e-05,
|
176 |
+
"loss": 0.7238,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.32,
|
181 |
+
"grad_norm": 0.7114948348319531,
|
182 |
+
"learning_rate": 2.5641025641025646e-05,
|
183 |
+
"loss": 0.705,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.3328,
|
188 |
+
"grad_norm": 0.8921820771837474,
|
189 |
+
"learning_rate": 2.6666666666666667e-05,
|
190 |
+
"loss": 0.7078,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.3456,
|
195 |
+
"grad_norm": 0.7921749112393623,
|
196 |
+
"learning_rate": 2.7692307692307694e-05,
|
197 |
+
"loss": 0.7068,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.3584,
|
202 |
+
"grad_norm": 0.7644141503561558,
|
203 |
+
"learning_rate": 2.871794871794872e-05,
|
204 |
+
"loss": 0.6914,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.3712,
|
209 |
+
"grad_norm": 0.9144509766520436,
|
210 |
+
"learning_rate": 2.9743589743589747e-05,
|
211 |
+
"loss": 0.6792,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.384,
|
216 |
+
"grad_norm": 1.1055713469684516,
|
217 |
+
"learning_rate": 3.0769230769230774e-05,
|
218 |
+
"loss": 0.6912,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.3968,
|
223 |
+
"grad_norm": 0.7849781574172187,
|
224 |
+
"learning_rate": 3.1794871794871795e-05,
|
225 |
+
"loss": 0.6774,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.4096,
|
230 |
+
"grad_norm": 1.1009807222432384,
|
231 |
+
"learning_rate": 3.282051282051282e-05,
|
232 |
+
"loss": 0.6574,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4224,
|
237 |
+
"grad_norm": 1.1657586549517602,
|
238 |
+
"learning_rate": 3.384615384615385e-05,
|
239 |
+
"loss": 0.6836,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.4352,
|
244 |
+
"grad_norm": 1.5020689377881666,
|
245 |
+
"learning_rate": 3.4871794871794875e-05,
|
246 |
+
"loss": 0.6653,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.448,
|
251 |
+
"grad_norm": 0.8086964944354174,
|
252 |
+
"learning_rate": 3.58974358974359e-05,
|
253 |
+
"loss": 0.6723,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.4608,
|
258 |
+
"grad_norm": 2.087558717206756,
|
259 |
+
"learning_rate": 3.692307692307693e-05,
|
260 |
+
"loss": 0.665,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.4736,
|
265 |
+
"grad_norm": 1.3739438121951246,
|
266 |
+
"learning_rate": 3.794871794871795e-05,
|
267 |
+
"loss": 0.6789,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.4864,
|
272 |
+
"grad_norm": 1.9589960994697235,
|
273 |
+
"learning_rate": 3.8974358974358976e-05,
|
274 |
+
"loss": 0.6778,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.4992,
|
279 |
+
"grad_norm": 1.7197772072895912,
|
280 |
+
"learning_rate": 4e-05,
|
281 |
+
"loss": 0.6754,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.512,
|
286 |
+
"grad_norm": 1.239516859482234,
|
287 |
+
"learning_rate": 3.9999198907597046e-05,
|
288 |
+
"loss": 0.6605,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.5248,
|
293 |
+
"grad_norm": 1.3222263492108368,
|
294 |
+
"learning_rate": 3.9996795694563096e-05,
|
295 |
+
"loss": 0.665,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.5376,
|
300 |
+
"grad_norm": 0.8974468069466353,
|
301 |
+
"learning_rate": 3.999279055341771e-05,
|
302 |
+
"loss": 0.6615,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.5504,
|
307 |
+
"grad_norm": 1.2420342798281085,
|
308 |
+
"learning_rate": 3.998718380500971e-05,
|
309 |
+
"loss": 0.6587,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.5632,
|
314 |
+
"grad_norm": 1.226235999609397,
|
315 |
+
"learning_rate": 3.997997589849145e-05,
|
316 |
+
"loss": 0.6604,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.576,
|
321 |
+
"grad_norm": 1.1133987875860607,
|
322 |
+
"learning_rate": 3.9971167411282835e-05,
|
323 |
+
"loss": 0.6563,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.5888,
|
328 |
+
"grad_norm": 0.9041885925772853,
|
329 |
+
"learning_rate": 3.99607590490251e-05,
|
330 |
+
"loss": 0.6514,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.6016,
|
335 |
+
"grad_norm": 0.8949480429440133,
|
336 |
+
"learning_rate": 3.9948751645524235e-05,
|
337 |
+
"loss": 0.6626,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.6144,
|
342 |
+
"grad_norm": 1.318063035845643,
|
343 |
+
"learning_rate": 3.9935146162684206e-05,
|
344 |
+
"loss": 0.6654,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.6272,
|
349 |
+
"grad_norm": 0.8046633597729084,
|
350 |
+
"learning_rate": 3.9919943690429906e-05,
|
351 |
+
"loss": 0.655,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.64,
|
356 |
+
"grad_norm": 1.6058287067824193,
|
357 |
+
"learning_rate": 3.9903145446619837e-05,
|
358 |
+
"loss": 0.6569,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.6528,
|
363 |
+
"grad_norm": 0.9533893187645094,
|
364 |
+
"learning_rate": 3.9884752776948564e-05,
|
365 |
+
"loss": 0.6478,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.6656,
|
370 |
+
"grad_norm": 1.7417364834918179,
|
371 |
+
"learning_rate": 3.9864767154838864e-05,
|
372 |
+
"loss": 0.6635,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.6784,
|
377 |
+
"grad_norm": 1.2249766521333794,
|
378 |
+
"learning_rate": 3.9843190181323744e-05,
|
379 |
+
"loss": 0.6484,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.6912,
|
384 |
+
"grad_norm": 1.5359824771240203,
|
385 |
+
"learning_rate": 3.982002358491817e-05,
|
386 |
+
"loss": 0.6655,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.704,
|
391 |
+
"grad_norm": 1.3606419207755613,
|
392 |
+
"learning_rate": 3.979526922148058e-05,
|
393 |
+
"loss": 0.6576,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.7168,
|
398 |
+
"grad_norm": 1.133037884656615,
|
399 |
+
"learning_rate": 3.9768929074064206e-05,
|
400 |
+
"loss": 0.6355,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.7296,
|
405 |
+
"grad_norm": 1.2625950366285374,
|
406 |
+
"learning_rate": 3.9741005252758255e-05,
|
407 |
+
"loss": 0.6432,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.7424,
|
412 |
+
"grad_norm": 0.9892824359096428,
|
413 |
+
"learning_rate": 3.971149999451886e-05,
|
414 |
+
"loss": 0.6465,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.7552,
|
419 |
+
"grad_norm": 1.3290509959496604,
|
420 |
+
"learning_rate": 3.9680415662989806e-05,
|
421 |
+
"loss": 0.6469,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.768,
|
426 |
+
"grad_norm": 0.9544676550042052,
|
427 |
+
"learning_rate": 3.9647754748313294e-05,
|
428 |
+
"loss": 0.6261,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.7808,
|
433 |
+
"grad_norm": 1.3783376727212315,
|
434 |
+
"learning_rate": 3.96135198669304e-05,
|
435 |
+
"loss": 0.6357,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.7936,
|
440 |
+
"grad_norm": 0.9440358615212426,
|
441 |
+
"learning_rate": 3.957771376137144e-05,
|
442 |
+
"loss": 0.6338,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.8064,
|
447 |
+
"grad_norm": 0.9803709039155389,
|
448 |
+
"learning_rate": 3.954033930003634e-05,
|
449 |
+
"loss": 0.6286,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.8192,
|
454 |
+
"grad_norm": 1.0995516160551828,
|
455 |
+
"learning_rate": 3.9501399476964806e-05,
|
456 |
+
"loss": 0.6408,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.832,
|
461 |
+
"grad_norm": 1.06604572631698,
|
462 |
+
"learning_rate": 3.946089741159648e-05,
|
463 |
+
"loss": 0.6317,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.8448,
|
468 |
+
"grad_norm": 0.9553425734859959,
|
469 |
+
"learning_rate": 3.9418836348521045e-05,
|
470 |
+
"loss": 0.6345,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.8576,
|
475 |
+
"grad_norm": 0.9344995799040006,
|
476 |
+
"learning_rate": 3.937521965721831e-05,
|
477 |
+
"loss": 0.6347,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.8704,
|
482 |
+
"grad_norm": 0.7717967370748647,
|
483 |
+
"learning_rate": 3.933005083178828e-05,
|
484 |
+
"loss": 0.6277,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.8832,
|
489 |
+
"grad_norm": 0.8845532815632384,
|
490 |
+
"learning_rate": 3.928333349067125e-05,
|
491 |
+
"loss": 0.6333,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.896,
|
496 |
+
"grad_norm": 0.7811593435671148,
|
497 |
+
"learning_rate": 3.923507137635792e-05,
|
498 |
+
"loss": 0.6385,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.9088,
|
503 |
+
"grad_norm": 0.6722600324453193,
|
504 |
+
"learning_rate": 3.9185268355089606e-05,
|
505 |
+
"loss": 0.6363,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.9216,
|
510 |
+
"grad_norm": 0.7013843628196784,
|
511 |
+
"learning_rate": 3.913392841654851e-05,
|
512 |
+
"loss": 0.6182,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.9344,
|
517 |
+
"grad_norm": 0.5241271397222523,
|
518 |
+
"learning_rate": 3.9081055673538093e-05,
|
519 |
+
"loss": 0.6286,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.9472,
|
524 |
+
"grad_norm": 0.8378711686250688,
|
525 |
+
"learning_rate": 3.902665436165364e-05,
|
526 |
+
"loss": 0.6262,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.96,
|
531 |
+
"grad_norm": 0.5700616630534898,
|
532 |
+
"learning_rate": 3.897072883894291e-05,
|
533 |
+
"loss": 0.6247,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.9728,
|
538 |
+
"grad_norm": 0.707717496346406,
|
539 |
+
"learning_rate": 3.8913283585557054e-05,
|
540 |
+
"loss": 0.6331,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.9856,
|
545 |
+
"grad_norm": 0.4854149491841238,
|
546 |
+
"learning_rate": 3.885432320339167e-05,
|
547 |
+
"loss": 0.622,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.9984,
|
552 |
+
"grad_norm": 0.7025692117424397,
|
553 |
+
"learning_rate": 3.879385241571817e-05,
|
554 |
+
"loss": 0.6358,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.0112,
|
559 |
+
"grad_norm": 0.7476411190441912,
|
560 |
+
"learning_rate": 3.873187606680543e-05,
|
561 |
+
"loss": 0.5851,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.024,
|
566 |
+
"grad_norm": 0.5354881944955312,
|
567 |
+
"learning_rate": 3.866839912153168e-05,
|
568 |
+
"loss": 0.5616,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.0368,
|
573 |
+
"grad_norm": 0.72979259702871,
|
574 |
+
"learning_rate": 3.860342666498677e-05,
|
575 |
+
"loss": 0.5687,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.0496,
|
580 |
+
"grad_norm": 0.9107316631547568,
|
581 |
+
"learning_rate": 3.853696390206484e-05,
|
582 |
+
"loss": 0.5701,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.0624,
|
587 |
+
"grad_norm": 0.8142918955825038,
|
588 |
+
"learning_rate": 3.846901615704734e-05,
|
589 |
+
"loss": 0.5783,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.0752,
|
594 |
+
"grad_norm": 0.9013571744948835,
|
595 |
+
"learning_rate": 3.839958887317649e-05,
|
596 |
+
"loss": 0.5834,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.088,
|
601 |
+
"grad_norm": 1.0062069408220184,
|
602 |
+
"learning_rate": 3.832868761221926e-05,
|
603 |
+
"loss": 0.5719,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.1008,
|
608 |
+
"grad_norm": 0.8228424564002687,
|
609 |
+
"learning_rate": 3.825631805402182e-05,
|
610 |
+
"loss": 0.5642,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.1136,
|
615 |
+
"grad_norm": 0.8592927492803276,
|
616 |
+
"learning_rate": 3.818248599605448e-05,
|
617 |
+
"loss": 0.5876,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.1264,
|
622 |
+
"grad_norm": 0.9406399419576136,
|
623 |
+
"learning_rate": 3.810719735294731e-05,
|
624 |
+
"loss": 0.5723,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.1392,
|
629 |
+
"grad_norm": 0.6830298227783856,
|
630 |
+
"learning_rate": 3.8030458156016326e-05,
|
631 |
+
"loss": 0.5637,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.152,
|
636 |
+
"grad_norm": 0.7339719088666201,
|
637 |
+
"learning_rate": 3.795227455278029e-05,
|
638 |
+
"loss": 0.5847,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.1648,
|
643 |
+
"grad_norm": 0.6629114611083571,
|
644 |
+
"learning_rate": 3.787265280646825e-05,
|
645 |
+
"loss": 0.5819,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.1776,
|
650 |
+
"grad_norm": 0.5708712660332336,
|
651 |
+
"learning_rate": 3.7791599295517825e-05,
|
652 |
+
"loss": 0.5704,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.1904,
|
657 |
+
"grad_norm": 0.6220784047435565,
|
658 |
+
"learning_rate": 3.7709120513064196e-05,
|
659 |
+
"loss": 0.5719,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.2032,
|
664 |
+
"grad_norm": 0.7301067427856471,
|
665 |
+
"learning_rate": 3.762522306641998e-05,
|
666 |
+
"loss": 0.582,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.216,
|
671 |
+
"grad_norm": 0.833057664299409,
|
672 |
+
"learning_rate": 3.7539913676545874e-05,
|
673 |
+
"loss": 0.5842,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.2288000000000001,
|
678 |
+
"grad_norm": 0.9379034745119356,
|
679 |
+
"learning_rate": 3.745319917751229e-05,
|
680 |
+
"loss": 0.5704,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.2416,
|
685 |
+
"grad_norm": 0.8127571638061729,
|
686 |
+
"learning_rate": 3.736508651595188e-05,
|
687 |
+
"loss": 0.5653,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.2544,
|
692 |
+
"grad_norm": 0.6766945990885098,
|
693 |
+
"learning_rate": 3.727558275050301e-05,
|
694 |
+
"loss": 0.5633,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.2671999999999999,
|
699 |
+
"grad_norm": 0.6430573461612847,
|
700 |
+
"learning_rate": 3.718469505124434e-05,
|
701 |
+
"loss": 0.5606,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.28,
|
706 |
+
"grad_norm": 0.6753115266892358,
|
707 |
+
"learning_rate": 3.709243069912041e-05,
|
708 |
+
"loss": 0.5661,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.2928,
|
713 |
+
"grad_norm": 0.8345931599971936,
|
714 |
+
"learning_rate": 3.699879708535838e-05,
|
715 |
+
"loss": 0.5702,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.3056,
|
720 |
+
"grad_norm": 0.617803588936545,
|
721 |
+
"learning_rate": 3.69038017108759e-05,
|
722 |
+
"loss": 0.5608,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.3184,
|
727 |
+
"grad_norm": 0.5088020067540242,
|
728 |
+
"learning_rate": 3.680745218568026e-05,
|
729 |
+
"loss": 0.565,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.3312,
|
734 |
+
"grad_norm": 0.7276172035472214,
|
735 |
+
"learning_rate": 3.6709756228258735e-05,
|
736 |
+
"loss": 0.5633,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.3439999999999999,
|
741 |
+
"grad_norm": 0.7328563107909479,
|
742 |
+
"learning_rate": 3.6610721664960236e-05,
|
743 |
+
"loss": 0.5469,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.3568,
|
748 |
+
"grad_norm": 0.6484190996796542,
|
749 |
+
"learning_rate": 3.65103564293684e-05,
|
750 |
+
"loss": 0.5624,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.3696,
|
755 |
+
"grad_norm": 0.5845316546941463,
|
756 |
+
"learning_rate": 3.640866856166601e-05,
|
757 |
+
"loss": 0.5712,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.3824,
|
762 |
+
"grad_norm": 0.7680563077284489,
|
763 |
+
"learning_rate": 3.6305666207990886e-05,
|
764 |
+
"loss": 0.5611,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.3952,
|
769 |
+
"grad_norm": 0.5730659339685035,
|
770 |
+
"learning_rate": 3.6201357619783336e-05,
|
771 |
+
"loss": 0.577,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.408,
|
776 |
+
"grad_norm": 0.4851095532004884,
|
777 |
+
"learning_rate": 3.609575115312511e-05,
|
778 |
+
"loss": 0.5556,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.4208,
|
783 |
+
"grad_norm": 0.7826442580287045,
|
784 |
+
"learning_rate": 3.598885526807003e-05,
|
785 |
+
"loss": 0.578,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.4336,
|
790 |
+
"grad_norm": 0.5403543360554025,
|
791 |
+
"learning_rate": 3.5880678527966224e-05,
|
792 |
+
"loss": 0.5543,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.4464000000000001,
|
797 |
+
"grad_norm": 0.520450735369304,
|
798 |
+
"learning_rate": 3.577122959877017e-05,
|
799 |
+
"loss": 0.5428,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.4592,
|
804 |
+
"grad_norm": 0.6730691244877828,
|
805 |
+
"learning_rate": 3.566051724835245e-05,
|
806 |
+
"loss": 0.5707,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.472,
|
811 |
+
"grad_norm": 0.4482581465131313,
|
812 |
+
"learning_rate": 3.554855034579532e-05,
|
813 |
+
"loss": 0.5685,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.4848,
|
818 |
+
"grad_norm": 0.4674208810680886,
|
819 |
+
"learning_rate": 3.5435337860682304e-05,
|
820 |
+
"loss": 0.5642,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.4976,
|
825 |
+
"grad_norm": 0.45402044921252604,
|
826 |
+
"learning_rate": 3.532088886237956e-05,
|
827 |
+
"loss": 0.5645,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.5104,
|
832 |
+
"grad_norm": 0.4927930274515102,
|
833 |
+
"learning_rate": 3.520521251930941e-05,
|
834 |
+
"loss": 0.5542,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.5232,
|
839 |
+
"grad_norm": 0.4501428271386669,
|
840 |
+
"learning_rate": 3.5088318098215805e-05,
|
841 |
+
"loss": 0.568,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.536,
|
846 |
+
"grad_norm": 0.4896780844891411,
|
847 |
+
"learning_rate": 3.497021496342203e-05,
|
848 |
+
"loss": 0.5517,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.5488,
|
853 |
+
"grad_norm": 0.4949783954604816,
|
854 |
+
"learning_rate": 3.485091257608047e-05,
|
855 |
+
"loss": 0.5609,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.5615999999999999,
|
860 |
+
"grad_norm": 0.43184064258446964,
|
861 |
+
"learning_rate": 3.473042049341474e-05,
|
862 |
+
"loss": 0.5671,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.5744,
|
867 |
+
"grad_norm": 0.46773313003774414,
|
868 |
+
"learning_rate": 3.4608748367954064e-05,
|
869 |
+
"loss": 0.5571,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.5872000000000002,
|
874 |
+
"grad_norm": 0.4801033155074372,
|
875 |
+
"learning_rate": 3.4485905946759965e-05,
|
876 |
+
"loss": 0.5585,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.6,
|
881 |
+
"grad_norm": 0.48761484953567685,
|
882 |
+
"learning_rate": 3.4361903070645484e-05,
|
883 |
+
"loss": 0.578,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.6128,
|
888 |
+
"grad_norm": 0.5183931155891501,
|
889 |
+
"learning_rate": 3.423674967338681e-05,
|
890 |
+
"loss": 0.5709,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.6256,
|
895 |
+
"grad_norm": 0.5027240920465532,
|
896 |
+
"learning_rate": 3.411045578092754e-05,
|
897 |
+
"loss": 0.5458,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.6383999999999999,
|
902 |
+
"grad_norm": 0.3668021582009626,
|
903 |
+
"learning_rate": 3.398303151057543e-05,
|
904 |
+
"loss": 0.5604,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 1.6512,
|
909 |
+
"grad_norm": 0.5293360802932268,
|
910 |
+
"learning_rate": 3.385448707019199e-05,
|
911 |
+
"loss": 0.5706,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 1.6640000000000001,
|
916 |
+
"grad_norm": 0.5067359991418402,
|
917 |
+
"learning_rate": 3.372483275737468e-05,
|
918 |
+
"loss": 0.5613,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 1.6768,
|
923 |
+
"grad_norm": 0.43956211682669255,
|
924 |
+
"learning_rate": 3.359407895863199e-05,
|
925 |
+
"loss": 0.5426,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.6896,
|
930 |
+
"grad_norm": 0.43321820890624846,
|
931 |
+
"learning_rate": 3.34622361485514e-05,
|
932 |
+
"loss": 0.5714,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 1.7024,
|
937 |
+
"grad_norm": 0.5506855614494184,
|
938 |
+
"learning_rate": 3.332931488896029e-05,
|
939 |
+
"loss": 0.5663,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 1.7151999999999998,
|
944 |
+
"grad_norm": 0.40674075771239687,
|
945 |
+
"learning_rate": 3.319532582807977e-05,
|
946 |
+
"loss": 0.5553,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 1.728,
|
951 |
+
"grad_norm": 0.5942652931118136,
|
952 |
+
"learning_rate": 3.30602796996717e-05,
|
953 |
+
"loss": 0.5581,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 1.7408000000000001,
|
958 |
+
"grad_norm": 0.5165956517595004,
|
959 |
+
"learning_rate": 3.2924187322178865e-05,
|
960 |
+
"loss": 0.5573,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 1.7536,
|
965 |
+
"grad_norm": 0.46259566037191663,
|
966 |
+
"learning_rate": 3.278705959785821e-05,
|
967 |
+
"loss": 0.5543,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 1.7664,
|
972 |
+
"grad_norm": 0.5222546408351808,
|
973 |
+
"learning_rate": 3.2648907511907544e-05,
|
974 |
+
"loss": 0.5644,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 1.7792,
|
979 |
+
"grad_norm": 0.377430226314278,
|
980 |
+
"learning_rate": 3.250974213158555e-05,
|
981 |
+
"loss": 0.5534,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 1.792,
|
986 |
+
"grad_norm": 0.557254631898166,
|
987 |
+
"learning_rate": 3.23695746053251e-05,
|
988 |
+
"loss": 0.562,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 1.8048,
|
993 |
+
"grad_norm": 0.4428053343917969,
|
994 |
+
"learning_rate": 3.222841616184025e-05,
|
995 |
+
"loss": 0.5634,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 1.8176,
|
1000 |
+
"grad_norm": 0.507424711580751,
|
1001 |
+
"learning_rate": 3.208627810922665e-05,
|
1002 |
+
"loss": 0.5615,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 1.8304,
|
1007 |
+
"grad_norm": 0.48740719950313904,
|
1008 |
+
"learning_rate": 3.194317183405573e-05,
|
1009 |
+
"loss": 0.5622,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 1.8432,
|
1014 |
+
"grad_norm": 0.5520350720623239,
|
1015 |
+
"learning_rate": 3.1799108800462466e-05,
|
1016 |
+
"loss": 0.5644,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 1.8559999999999999,
|
1021 |
+
"grad_norm": 0.4470006220654049,
|
1022 |
+
"learning_rate": 3.1654100549227024e-05,
|
1023 |
+
"loss": 0.5569,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 1.8688,
|
1028 |
+
"grad_norm": 0.5049011825096722,
|
1029 |
+
"learning_rate": 3.1508158696850275e-05,
|
1030 |
+
"loss": 0.5583,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 1.8816000000000002,
|
1035 |
+
"grad_norm": 0.5024884916073381,
|
1036 |
+
"learning_rate": 3.136129493462312e-05,
|
1037 |
+
"loss": 0.5604,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 1.8944,
|
1042 |
+
"grad_norm": 0.42965423511043344,
|
1043 |
+
"learning_rate": 3.121352102768998e-05,
|
1044 |
+
"loss": 0.5681,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 1.9072,
|
1049 |
+
"grad_norm": 0.43628178509966303,
|
1050 |
+
"learning_rate": 3.106484881410628e-05,
|
1051 |
+
"loss": 0.5561,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 1.92,
|
1056 |
+
"grad_norm": 0.516672384401874,
|
1057 |
+
"learning_rate": 3.091529020389009e-05,
|
1058 |
+
"loss": 0.5612,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 1.9327999999999999,
|
1063 |
+
"grad_norm": 0.3971572803988885,
|
1064 |
+
"learning_rate": 3.076485717806808e-05,
|
1065 |
+
"loss": 0.5479,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 1.9456,
|
1070 |
+
"grad_norm": 0.5219460456119351,
|
1071 |
+
"learning_rate": 3.061356178771564e-05,
|
1072 |
+
"loss": 0.5511,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 1.9584000000000001,
|
1077 |
+
"grad_norm": 0.5441247836401949,
|
1078 |
+
"learning_rate": 3.0461416152991555e-05,
|
1079 |
+
"loss": 0.5478,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 1.9712,
|
1084 |
+
"grad_norm": 0.42158079374127294,
|
1085 |
+
"learning_rate": 3.0308432462167045e-05,
|
1086 |
+
"loss": 0.556,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 1.984,
|
1091 |
+
"grad_norm": 0.3710818016637592,
|
1092 |
+
"learning_rate": 3.015462297064936e-05,
|
1093 |
+
"loss": 0.5622,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 1.9968,
|
1098 |
+
"grad_norm": 0.39287859604255465,
|
1099 |
+
"learning_rate": 3.0000000000000004e-05,
|
1100 |
+
"loss": 0.5552,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.0096,
|
1105 |
+
"grad_norm": 0.4810957487215277,
|
1106 |
+
"learning_rate": 2.98445759369477e-05,
|
1107 |
+
"loss": 0.5019,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 2.0224,
|
1112 |
+
"grad_norm": 0.4696753127217347,
|
1113 |
+
"learning_rate": 2.9688363232396056e-05,
|
1114 |
+
"loss": 0.4898,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 2.0352,
|
1119 |
+
"grad_norm": 0.559677168390859,
|
1120 |
+
"learning_rate": 2.9531374400426158e-05,
|
1121 |
+
"loss": 0.4841,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 2.048,
|
1126 |
+
"grad_norm": 0.6879445150427815,
|
1127 |
+
"learning_rate": 2.9373622017294075e-05,
|
1128 |
+
"loss": 0.4749,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 2.0608,
|
1133 |
+
"grad_norm": 0.5741929875240579,
|
1134 |
+
"learning_rate": 2.9215118720423375e-05,
|
1135 |
+
"loss": 0.4689,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.0736,
|
1140 |
+
"grad_norm": 0.5702999528092169,
|
1141 |
+
"learning_rate": 2.9055877207392752e-05,
|
1142 |
+
"loss": 0.4915,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 2.0864,
|
1147 |
+
"grad_norm": 0.5786948955417902,
|
1148 |
+
"learning_rate": 2.8895910234918828e-05,
|
1149 |
+
"loss": 0.4726,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 2.0992,
|
1154 |
+
"grad_norm": 0.5927881966274303,
|
1155 |
+
"learning_rate": 2.873523061783426e-05,
|
1156 |
+
"loss": 0.4683,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 2.112,
|
1161 |
+
"grad_norm": 0.5356273330838037,
|
1162 |
+
"learning_rate": 2.8573851228061084e-05,
|
1163 |
+
"loss": 0.4553,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 2.1248,
|
1168 |
+
"grad_norm": 0.5196550141498971,
|
1169 |
+
"learning_rate": 2.8411784993579633e-05,
|
1170 |
+
"loss": 0.4763,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 2.1376,
|
1175 |
+
"grad_norm": 0.5484054422196126,
|
1176 |
+
"learning_rate": 2.8249044897392814e-05,
|
1177 |
+
"loss": 0.4885,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.1504,
|
1182 |
+
"grad_norm": 0.627010389991889,
|
1183 |
+
"learning_rate": 2.80856439764861e-05,
|
1184 |
+
"loss": 0.474,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 2.1632,
|
1189 |
+
"grad_norm": 0.5943064505781659,
|
1190 |
+
"learning_rate": 2.792159532078314e-05,
|
1191 |
+
"loss": 0.4745,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 2.176,
|
1196 |
+
"grad_norm": 0.5078520524905042,
|
1197 |
+
"learning_rate": 2.77569120720971e-05,
|
1198 |
+
"loss": 0.474,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 2.1888,
|
1203 |
+
"grad_norm": 0.5247617124108166,
|
1204 |
+
"learning_rate": 2.7591607423077932e-05,
|
1205 |
+
"loss": 0.4857,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 2.2016,
|
1210 |
+
"grad_norm": 0.4548412049154901,
|
1211 |
+
"learning_rate": 2.7425694616155474e-05,
|
1212 |
+
"loss": 0.477,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 2.2144,
|
1217 |
+
"grad_norm": 0.464235021826899,
|
1218 |
+
"learning_rate": 2.7259186942478656e-05,
|
1219 |
+
"loss": 0.4702,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.2272,
|
1224 |
+
"grad_norm": 0.536156033395784,
|
1225 |
+
"learning_rate": 2.7092097740850712e-05,
|
1226 |
+
"loss": 0.4765,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 2.24,
|
1231 |
+
"grad_norm": 0.455714036052608,
|
1232 |
+
"learning_rate": 2.692444039666066e-05,
|
1233 |
+
"loss": 0.484,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 2.2528,
|
1238 |
+
"grad_norm": 0.4397770750259298,
|
1239 |
+
"learning_rate": 2.6756228340810946e-05,
|
1240 |
+
"loss": 0.4805,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 2.2656,
|
1245 |
+
"grad_norm": 0.4012588163930126,
|
1246 |
+
"learning_rate": 2.6587475048641596e-05,
|
1247 |
+
"loss": 0.4841,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 2.2784,
|
1252 |
+
"grad_norm": 0.44509143203605256,
|
1253 |
+
"learning_rate": 2.6418194038850634e-05,
|
1254 |
+
"loss": 0.4754,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 2.2912,
|
1259 |
+
"grad_norm": 0.3610143090508979,
|
1260 |
+
"learning_rate": 2.624839887241115e-05,
|
1261 |
+
"loss": 0.4822,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.304,
|
1266 |
+
"grad_norm": 0.580899767456742,
|
1267 |
+
"learning_rate": 2.607810315148494e-05,
|
1268 |
+
"loss": 0.4665,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 2.3168,
|
1273 |
+
"grad_norm": 0.36906325472102786,
|
1274 |
+
"learning_rate": 2.5907320518332827e-05,
|
1275 |
+
"loss": 0.481,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 2.3296,
|
1280 |
+
"grad_norm": 0.49840724291179755,
|
1281 |
+
"learning_rate": 2.5736064654221808e-05,
|
1282 |
+
"loss": 0.474,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 2.3424,
|
1287 |
+
"grad_norm": 0.33340363432650977,
|
1288 |
+
"learning_rate": 2.5564349278329056e-05,
|
1289 |
+
"loss": 0.4787,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 2.3552,
|
1294 |
+
"grad_norm": 0.4446905727425129,
|
1295 |
+
"learning_rate": 2.539218814664288e-05,
|
1296 |
+
"loss": 0.4748,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 2.368,
|
1301 |
+
"grad_norm": 0.3456318247132697,
|
1302 |
+
"learning_rate": 2.521959505086075e-05,
|
1303 |
+
"loss": 0.4863,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.3808,
|
1308 |
+
"grad_norm": 0.3908786848365938,
|
1309 |
+
"learning_rate": 2.5046583817284437e-05,
|
1310 |
+
"loss": 0.4743,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 2.3936,
|
1315 |
+
"grad_norm": 0.37827442700520575,
|
1316 |
+
"learning_rate": 2.487316830571244e-05,
|
1317 |
+
"loss": 0.4881,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 2.4064,
|
1322 |
+
"grad_norm": 0.36474956731721675,
|
1323 |
+
"learning_rate": 2.4699362408329646e-05,
|
1324 |
+
"loss": 0.4755,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 2.4192,
|
1329 |
+
"grad_norm": 0.46148927737950757,
|
1330 |
+
"learning_rate": 2.4525180048594452e-05,
|
1331 |
+
"loss": 0.4833,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 2.432,
|
1336 |
+
"grad_norm": 0.32648315431106817,
|
1337 |
+
"learning_rate": 2.435063518012335e-05,
|
1338 |
+
"loss": 0.4821,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 2.4448,
|
1343 |
+
"grad_norm": 0.43546951278327345,
|
1344 |
+
"learning_rate": 2.4175741785573177e-05,
|
1345 |
+
"loss": 0.4882,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 2.4576000000000002,
|
1350 |
+
"grad_norm": 0.3750762365022394,
|
1351 |
+
"learning_rate": 2.4000513875520892e-05,
|
1352 |
+
"loss": 0.488,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 2.4704,
|
1357 |
+
"grad_norm": 0.3568417525583788,
|
1358 |
+
"learning_rate": 2.3824965487341247e-05,
|
1359 |
+
"loss": 0.4744,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 2.4832,
|
1364 |
+
"grad_norm": 0.37221601465303467,
|
1365 |
+
"learning_rate": 2.3649110684082258e-05,
|
1366 |
+
"loss": 0.4804,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 2.496,
|
1371 |
+
"grad_norm": 0.3204035329648721,
|
1372 |
+
"learning_rate": 2.3472963553338614e-05,
|
1373 |
+
"loss": 0.4864,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 2.5088,
|
1378 |
+
"grad_norm": 0.31257417198288145,
|
1379 |
+
"learning_rate": 2.3296538206123134e-05,
|
1380 |
+
"loss": 0.4644,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 2.5216,
|
1385 |
+
"grad_norm": 0.3121211904729013,
|
1386 |
+
"learning_rate": 2.311984877573636e-05,
|
1387 |
+
"loss": 0.4757,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 2.5343999999999998,
|
1392 |
+
"grad_norm": 0.36782619196771305,
|
1393 |
+
"learning_rate": 2.2942909416634326e-05,
|
1394 |
+
"loss": 0.4867,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 2.5472,
|
1399 |
+
"grad_norm": 0.3375621503827436,
|
1400 |
+
"learning_rate": 2.2765734303294666e-05,
|
1401 |
+
"loss": 0.471,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 2.56,
|
1406 |
+
"grad_norm": 0.3328945194503403,
|
1407 |
+
"learning_rate": 2.2588337629081107e-05,
|
1408 |
+
"loss": 0.466,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 2.5728,
|
1413 |
+
"grad_norm": 0.3474306821675776,
|
1414 |
+
"learning_rate": 2.2410733605106462e-05,
|
1415 |
+
"loss": 0.4871,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 2.5856,
|
1420 |
+
"grad_norm": 0.3082815992096003,
|
1421 |
+
"learning_rate": 2.2232936459094158e-05,
|
1422 |
+
"loss": 0.4832,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 2.5984,
|
1427 |
+
"grad_norm": 0.35202613044348846,
|
1428 |
+
"learning_rate": 2.205496043423849e-05,
|
1429 |
+
"loss": 0.4761,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 2.6112,
|
1434 |
+
"grad_norm": 0.3214647520518177,
|
1435 |
+
"learning_rate": 2.1876819788063586e-05,
|
1436 |
+
"loss": 0.4705,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 2.624,
|
1441 |
+
"grad_norm": 0.36274690635166024,
|
1442 |
+
"learning_rate": 2.16985287912813e-05,
|
1443 |
+
"loss": 0.4784,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 2.6368,
|
1448 |
+
"grad_norm": 0.3812928113876961,
|
1449 |
+
"learning_rate": 2.1520101726647922e-05,
|
1450 |
+
"loss": 0.4778,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 2.6496,
|
1455 |
+
"grad_norm": 0.3671138052949733,
|
1456 |
+
"learning_rate": 2.1341552887820048e-05,
|
1457 |
+
"loss": 0.4959,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 2.6624,
|
1462 |
+
"grad_norm": 0.4081573643432729,
|
1463 |
+
"learning_rate": 2.1162896578209517e-05,
|
1464 |
+
"loss": 0.4887,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 2.6752000000000002,
|
1469 |
+
"grad_norm": 0.35479419412733626,
|
1470 |
+
"learning_rate": 2.0984147109837564e-05,
|
1471 |
+
"loss": 0.4793,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 2.6879999999999997,
|
1476 |
+
"grad_norm": 0.359314772773895,
|
1477 |
+
"learning_rate": 2.0805318802188307e-05,
|
1478 |
+
"loss": 0.4771,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 2.7008,
|
1483 |
+
"grad_norm": 0.32255143450933743,
|
1484 |
+
"learning_rate": 2.0626425981061608e-05,
|
1485 |
+
"loss": 0.4863,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 2.7136,
|
1490 |
+
"grad_norm": 0.36887422582218393,
|
1491 |
+
"learning_rate": 2.0447482977425465e-05,
|
1492 |
+
"loss": 0.4557,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 2.7264,
|
1497 |
+
"grad_norm": 0.3433586828942609,
|
1498 |
+
"learning_rate": 2.0268504126267952e-05,
|
1499 |
+
"loss": 0.463,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 2.7392,
|
1504 |
+
"grad_norm": 0.3725158685333721,
|
1505 |
+
"learning_rate": 2.008950376544887e-05,
|
1506 |
+
"loss": 0.4876,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 2.752,
|
1511 |
+
"grad_norm": 0.3724465983324709,
|
1512 |
+
"learning_rate": 1.9910496234551132e-05,
|
1513 |
+
"loss": 0.4704,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 2.7648,
|
1518 |
+
"grad_norm": 0.3635263348421871,
|
1519 |
+
"learning_rate": 1.9731495873732055e-05,
|
1520 |
+
"loss": 0.4886,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 2.7776,
|
1525 |
+
"grad_norm": 0.34375654841143083,
|
1526 |
+
"learning_rate": 1.9552517022574542e-05,
|
1527 |
+
"loss": 0.4873,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 2.7904,
|
1532 |
+
"grad_norm": 0.40213447796532403,
|
1533 |
+
"learning_rate": 1.93735740189384e-05,
|
1534 |
+
"loss": 0.4664,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 2.8032,
|
1539 |
+
"grad_norm": 0.3191206042145243,
|
1540 |
+
"learning_rate": 1.9194681197811703e-05,
|
1541 |
+
"loss": 0.4828,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 2.816,
|
1546 |
+
"grad_norm": 0.3586806902127841,
|
1547 |
+
"learning_rate": 1.901585289016244e-05,
|
1548 |
+
"loss": 0.4797,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 2.8288,
|
1553 |
+
"grad_norm": 0.3373025892719824,
|
1554 |
+
"learning_rate": 1.8837103421790486e-05,
|
1555 |
+
"loss": 0.4821,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 2.8416,
|
1560 |
+
"grad_norm": 0.3803205603470629,
|
1561 |
+
"learning_rate": 1.8658447112179952e-05,
|
1562 |
+
"loss": 0.4664,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 2.8544,
|
1567 |
+
"grad_norm": 0.3371932795198666,
|
1568 |
+
"learning_rate": 1.8479898273352084e-05,
|
1569 |
+
"loss": 0.4879,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 2.8672,
|
1574 |
+
"grad_norm": 0.38110756107404326,
|
1575 |
+
"learning_rate": 1.83014712087187e-05,
|
1576 |
+
"loss": 0.4612,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 2.88,
|
1581 |
+
"grad_norm": 0.3019413205986473,
|
1582 |
+
"learning_rate": 1.8123180211936417e-05,
|
1583 |
+
"loss": 0.4738,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 2.8928000000000003,
|
1588 |
+
"grad_norm": 0.3493524234310519,
|
1589 |
+
"learning_rate": 1.794503956576152e-05,
|
1590 |
+
"loss": 0.4712,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 2.9055999999999997,
|
1595 |
+
"grad_norm": 0.28037950243473425,
|
1596 |
+
"learning_rate": 1.776706354090585e-05,
|
1597 |
+
"loss": 0.4801,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 2.9184,
|
1602 |
+
"grad_norm": 0.3752528476673087,
|
1603 |
+
"learning_rate": 1.758926639489354e-05,
|
1604 |
+
"loss": 0.4769,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 2.9312,
|
1609 |
+
"grad_norm": 0.30040214185976755,
|
1610 |
+
"learning_rate": 1.7411662370918893e-05,
|
1611 |
+
"loss": 0.4785,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 2.944,
|
1616 |
+
"grad_norm": 0.3394484343902263,
|
1617 |
+
"learning_rate": 1.7234265696705344e-05,
|
1618 |
+
"loss": 0.4772,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 2.9568,
|
1623 |
+
"grad_norm": 0.3116248684218825,
|
1624 |
+
"learning_rate": 1.7057090583365678e-05,
|
1625 |
+
"loss": 0.49,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 2.9696,
|
1630 |
+
"grad_norm": 0.33715778998035495,
|
1631 |
+
"learning_rate": 1.6880151224263646e-05,
|
1632 |
+
"loss": 0.4656,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 2.9824,
|
1637 |
+
"grad_norm": 0.32132598320200595,
|
1638 |
+
"learning_rate": 1.6703461793876876e-05,
|
1639 |
+
"loss": 0.4783,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 2.9952,
|
1644 |
+
"grad_norm": 0.3123433780390215,
|
1645 |
+
"learning_rate": 1.6527036446661396e-05,
|
1646 |
+
"loss": 0.4583,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 3.008,
|
1651 |
+
"grad_norm": 0.40270534460041507,
|
1652 |
+
"learning_rate": 1.635088931591775e-05,
|
1653 |
+
"loss": 0.4601,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 3.0208,
|
1658 |
+
"grad_norm": 0.3832052503211483,
|
1659 |
+
"learning_rate": 1.6175034512658753e-05,
|
1660 |
+
"loss": 0.3934,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 3.0336,
|
1665 |
+
"grad_norm": 0.8324835512594142,
|
1666 |
+
"learning_rate": 1.5999486124479115e-05,
|
1667 |
+
"loss": 0.4322,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 3.0464,
|
1672 |
+
"grad_norm": 0.45099281151716625,
|
1673 |
+
"learning_rate": 1.5824258214426833e-05,
|
1674 |
+
"loss": 0.4099,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 3.0592,
|
1679 |
+
"grad_norm": 0.4947330786718981,
|
1680 |
+
"learning_rate": 1.5649364819876655e-05,
|
1681 |
+
"loss": 0.4227,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 3.072,
|
1686 |
+
"grad_norm": 0.41140040631194025,
|
1687 |
+
"learning_rate": 1.547481995140556e-05,
|
1688 |
+
"loss": 0.4161,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 3.0848,
|
1693 |
+
"grad_norm": 0.39409332415502946,
|
1694 |
+
"learning_rate": 1.5300637591670357e-05,
|
1695 |
+
"loss": 0.3971,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 3.0976,
|
1700 |
+
"grad_norm": 0.5010026713099779,
|
1701 |
+
"learning_rate": 1.5126831694287564e-05,
|
1702 |
+
"loss": 0.4059,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 3.1104,
|
1707 |
+
"grad_norm": 0.38675629193171374,
|
1708 |
+
"learning_rate": 1.4953416182715566e-05,
|
1709 |
+
"loss": 0.3961,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 3.1232,
|
1714 |
+
"grad_norm": 0.4328614957549023,
|
1715 |
+
"learning_rate": 1.478040494913926e-05,
|
1716 |
+
"loss": 0.4089,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 3.136,
|
1721 |
+
"grad_norm": 0.39946159823496,
|
1722 |
+
"learning_rate": 1.460781185335713e-05,
|
1723 |
+
"loss": 0.4111,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 3.1488,
|
1728 |
+
"grad_norm": 0.4261990447434158,
|
1729 |
+
"learning_rate": 1.443565072167095e-05,
|
1730 |
+
"loss": 0.4184,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 3.1616,
|
1735 |
+
"grad_norm": 0.37975984472504815,
|
1736 |
+
"learning_rate": 1.4263935345778202e-05,
|
1737 |
+
"loss": 0.4052,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 3.1744,
|
1742 |
+
"grad_norm": 0.437694596145041,
|
1743 |
+
"learning_rate": 1.409267948166718e-05,
|
1744 |
+
"loss": 0.4011,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 3.1872,
|
1749 |
+
"grad_norm": 0.35901948722786137,
|
1750 |
+
"learning_rate": 1.3921896848515064e-05,
|
1751 |
+
"loss": 0.401,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 3.2,
|
1756 |
+
"grad_norm": 0.3650305665036746,
|
1757 |
+
"learning_rate": 1.3751601127588849e-05,
|
1758 |
+
"loss": 0.4094,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 3.2128,
|
1763 |
+
"grad_norm": 0.38456740974263476,
|
1764 |
+
"learning_rate": 1.3581805961149371e-05,
|
1765 |
+
"loss": 0.4081,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 3.2256,
|
1770 |
+
"grad_norm": 0.35571023954259984,
|
1771 |
+
"learning_rate": 1.341252495135841e-05,
|
1772 |
+
"loss": 0.4071,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 3.2384,
|
1777 |
+
"grad_norm": 0.32402895653700925,
|
1778 |
+
"learning_rate": 1.324377165918906e-05,
|
1779 |
+
"loss": 0.428,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 3.2512,
|
1784 |
+
"grad_norm": 0.3439002016673635,
|
1785 |
+
"learning_rate": 1.3075559603339354e-05,
|
1786 |
+
"loss": 0.4055,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 3.2640000000000002,
|
1791 |
+
"grad_norm": 0.3662462529815356,
|
1792 |
+
"learning_rate": 1.2907902259149287e-05,
|
1793 |
+
"loss": 0.4157,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 3.2768,
|
1798 |
+
"grad_norm": 0.33452003926097973,
|
1799 |
+
"learning_rate": 1.274081305752135e-05,
|
1800 |
+
"loss": 0.3953,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 3.2896,
|
1805 |
+
"grad_norm": 0.35019843113943855,
|
1806 |
+
"learning_rate": 1.2574305383844528e-05,
|
1807 |
+
"loss": 0.4133,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 3.3024,
|
1812 |
+
"grad_norm": 0.33591721458605356,
|
1813 |
+
"learning_rate": 1.2408392576922075e-05,
|
1814 |
+
"loss": 0.4179,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 3.3152,
|
1819 |
+
"grad_norm": 0.3667925625479648,
|
1820 |
+
"learning_rate": 1.2243087927902905e-05,
|
1821 |
+
"loss": 0.397,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 3.328,
|
1826 |
+
"grad_norm": 0.3157839864337689,
|
1827 |
+
"learning_rate": 1.2078404679216864e-05,
|
1828 |
+
"loss": 0.3612,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 3.3407999999999998,
|
1833 |
+
"grad_norm": 0.3213885312238281,
|
1834 |
+
"learning_rate": 1.1914356023513904e-05,
|
1835 |
+
"loss": 0.4029,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 3.3536,
|
1840 |
+
"grad_norm": 0.3302359587917098,
|
1841 |
+
"learning_rate": 1.1750955102607193e-05,
|
1842 |
+
"loss": 0.4073,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 3.3664,
|
1847 |
+
"grad_norm": 0.29441598571428257,
|
1848 |
+
"learning_rate": 1.1588215006420374e-05,
|
1849 |
+
"loss": 0.4004,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 3.3792,
|
1854 |
+
"grad_norm": 0.30978932262090814,
|
1855 |
+
"learning_rate": 1.1426148771938915e-05,
|
1856 |
+
"loss": 0.3983,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 3.392,
|
1861 |
+
"grad_norm": 0.30007203422440043,
|
1862 |
+
"learning_rate": 1.1264769382165748e-05,
|
1863 |
+
"loss": 0.4367,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 3.4048,
|
1868 |
+
"grad_norm": 0.29754442735073233,
|
1869 |
+
"learning_rate": 1.110408976508118e-05,
|
1870 |
+
"loss": 0.3954,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 3.4176,
|
1875 |
+
"grad_norm": 0.2810672036171426,
|
1876 |
+
"learning_rate": 1.094412279260726e-05,
|
1877 |
+
"loss": 0.4133,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 3.4304,
|
1882 |
+
"grad_norm": 0.27872442410858883,
|
1883 |
+
"learning_rate": 1.0784881279576635e-05,
|
1884 |
+
"loss": 0.4158,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 3.4432,
|
1889 |
+
"grad_norm": 0.2752414564773996,
|
1890 |
+
"learning_rate": 1.0626377982705929e-05,
|
1891 |
+
"loss": 0.4003,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 3.456,
|
1896 |
+
"grad_norm": 0.2825684542341568,
|
1897 |
+
"learning_rate": 1.0468625599573842e-05,
|
1898 |
+
"loss": 0.3875,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 3.4688,
|
1903 |
+
"grad_norm": 0.28187758820442765,
|
1904 |
+
"learning_rate": 1.0311636767603952e-05,
|
1905 |
+
"loss": 0.4092,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 3.4816,
|
1910 |
+
"grad_norm": 0.25823425566847735,
|
1911 |
+
"learning_rate": 1.0155424063052306e-05,
|
1912 |
+
"loss": 0.4083,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 3.4944,
|
1917 |
+
"grad_norm": 0.27031841166677434,
|
1918 |
+
"learning_rate": 1.0000000000000006e-05,
|
1919 |
+
"loss": 0.4134,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 3.5072,
|
1924 |
+
"grad_norm": 0.2776823550225193,
|
1925 |
+
"learning_rate": 9.84537702935065e-06,
|
1926 |
+
"loss": 0.3988,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 3.52,
|
1931 |
+
"grad_norm": 0.30650246734285985,
|
1932 |
+
"learning_rate": 9.691567537832964e-06,
|
1933 |
+
"loss": 0.3755,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 3.5328,
|
1938 |
+
"grad_norm": 0.32477357150757086,
|
1939 |
+
"learning_rate": 9.538583847008452e-06,
|
1940 |
+
"loss": 0.416,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 3.5456,
|
1945 |
+
"grad_norm": 0.2788014705196268,
|
1946 |
+
"learning_rate": 9.386438212284372e-06,
|
1947 |
+
"loss": 0.4173,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 3.5584,
|
1952 |
+
"grad_norm": 0.30861774136922526,
|
1953 |
+
"learning_rate": 9.235142821931928e-06,
|
1954 |
+
"loss": 0.4141,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 3.5712,
|
1959 |
+
"grad_norm": 0.3306405964299962,
|
1960 |
+
"learning_rate": 9.084709796109907e-06,
|
1961 |
+
"loss": 0.3963,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 3.584,
|
1966 |
+
"grad_norm": 0.2655132439233068,
|
1967 |
+
"learning_rate": 8.93515118589373e-06,
|
1968 |
+
"loss": 0.4107,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 3.5968,
|
1973 |
+
"grad_norm": 0.2874632947514457,
|
1974 |
+
"learning_rate": 8.786478972310023e-06,
|
1975 |
+
"loss": 0.3967,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 3.6096,
|
1980 |
+
"grad_norm": 0.315468335088531,
|
1981 |
+
"learning_rate": 8.638705065376887e-06,
|
1982 |
+
"loss": 0.4146,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 3.6224,
|
1987 |
+
"grad_norm": 0.28204155791769175,
|
1988 |
+
"learning_rate": 8.491841303149728e-06,
|
1989 |
+
"loss": 0.4096,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 3.6352,
|
1994 |
+
"grad_norm": 0.26847189337376914,
|
1995 |
+
"learning_rate": 8.345899450772975e-06,
|
1996 |
+
"loss": 0.4051,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 3.648,
|
2001 |
+
"grad_norm": 0.2792543365674268,
|
2002 |
+
"learning_rate": 8.200891199537549e-06,
|
2003 |
+
"loss": 0.3995,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 3.6608,
|
2008 |
+
"grad_norm": 0.29342950668842016,
|
2009 |
+
"learning_rate": 8.056828165944282e-06,
|
2010 |
+
"loss": 0.4097,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 3.6736,
|
2015 |
+
"grad_norm": 0.2784342000075087,
|
2016 |
+
"learning_rate": 7.913721890773354e-06,
|
2017 |
+
"loss": 0.4132,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 3.6864,
|
2022 |
+
"grad_norm": 0.2997277490020625,
|
2023 |
+
"learning_rate": 7.771583838159756e-06,
|
2024 |
+
"loss": 0.3957,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 3.6992000000000003,
|
2029 |
+
"grad_norm": 0.2501811859736929,
|
2030 |
+
"learning_rate": 7.630425394674903e-06,
|
2031 |
+
"loss": 0.4073,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 3.7119999999999997,
|
2036 |
+
"grad_norm": 0.2631978829633404,
|
2037 |
+
"learning_rate": 7.49025786841445e-06,
|
2038 |
+
"loss": 0.4049,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 3.7248,
|
2043 |
+
"grad_norm": 0.27384311014579543,
|
2044 |
+
"learning_rate": 7.3510924880924575e-06,
|
2045 |
+
"loss": 0.402,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 3.7376,
|
2050 |
+
"grad_norm": 0.28437773635271907,
|
2051 |
+
"learning_rate": 7.212940402141808e-06,
|
2052 |
+
"loss": 0.3984,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 3.7504,
|
2057 |
+
"grad_norm": 0.25658095866069414,
|
2058 |
+
"learning_rate": 7.075812677821145e-06,
|
2059 |
+
"loss": 0.4101,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 3.7632,
|
2064 |
+
"grad_norm": 0.3018970187904178,
|
2065 |
+
"learning_rate": 6.939720300328303e-06,
|
2066 |
+
"loss": 0.3971,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 3.776,
|
2071 |
+
"grad_norm": 0.2808611351344886,
|
2072 |
+
"learning_rate": 6.8046741719202385e-06,
|
2073 |
+
"loss": 0.405,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 3.7888,
|
2078 |
+
"grad_norm": 0.24692824734018473,
|
2079 |
+
"learning_rate": 6.67068511103971e-06,
|
2080 |
+
"loss": 0.4179,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 3.8016,
|
2085 |
+
"grad_norm": 0.2516970002949449,
|
2086 |
+
"learning_rate": 6.537763851448593e-06,
|
2087 |
+
"loss": 0.4128,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 3.8144,
|
2092 |
+
"grad_norm": 0.2855497669115216,
|
2093 |
+
"learning_rate": 6.4059210413680175e-06,
|
2094 |
+
"loss": 0.4124,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 3.8272,
|
2099 |
+
"grad_norm": 0.2627089532398548,
|
2100 |
+
"learning_rate": 6.275167242625331e-06,
|
2101 |
+
"loss": 0.3971,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 3.84,
|
2106 |
+
"grad_norm": 0.25278969727962275,
|
2107 |
+
"learning_rate": 6.145512929808013e-06,
|
2108 |
+
"loss": 0.3957,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 3.8528000000000002,
|
2113 |
+
"grad_norm": 0.2690667867338895,
|
2114 |
+
"learning_rate": 6.016968489424572e-06,
|
2115 |
+
"loss": 0.3991,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 3.8656,
|
2120 |
+
"grad_norm": 0.27107813354791993,
|
2121 |
+
"learning_rate": 5.889544219072465e-06,
|
2122 |
+
"loss": 0.3826,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 3.8784,
|
2127 |
+
"grad_norm": 0.24557623802864986,
|
2128 |
+
"learning_rate": 5.7632503266131925e-06,
|
2129 |
+
"loss": 0.4158,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 3.8912,
|
2134 |
+
"grad_norm": 0.26451015741555556,
|
2135 |
+
"learning_rate": 5.638096929354522e-06,
|
2136 |
+
"loss": 0.3973,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 3.904,
|
2141 |
+
"grad_norm": 0.25580789997428777,
|
2142 |
+
"learning_rate": 5.514094053240035e-06,
|
2143 |
+
"loss": 0.4109,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 3.9168,
|
2148 |
+
"grad_norm": 0.23648647171218837,
|
2149 |
+
"learning_rate": 5.39125163204594e-06,
|
2150 |
+
"loss": 0.3874,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 3.9295999999999998,
|
2155 |
+
"grad_norm": 0.2557805537687245,
|
2156 |
+
"learning_rate": 5.269579506585259e-06,
|
2157 |
+
"loss": 0.4011,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 3.9424,
|
2162 |
+
"grad_norm": 0.26075051352920386,
|
2163 |
+
"learning_rate": 5.149087423919541e-06,
|
2164 |
+
"loss": 0.4092,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 3.9552,
|
2169 |
+
"grad_norm": 0.24517119714384644,
|
2170 |
+
"learning_rate": 5.029785036577976e-06,
|
2171 |
+
"loss": 0.3826,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 3.968,
|
2176 |
+
"grad_norm": 0.24214584145520887,
|
2177 |
+
"learning_rate": 4.911681901784198e-06,
|
2178 |
+
"loss": 0.4155,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 3.9808,
|
2183 |
+
"grad_norm": 0.26415663488367225,
|
2184 |
+
"learning_rate": 4.794787480690597e-06,
|
2185 |
+
"loss": 0.3933,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 3.9936,
|
2190 |
+
"grad_norm": 0.2578942066880794,
|
2191 |
+
"learning_rate": 4.679111137620442e-06,
|
2192 |
+
"loss": 0.4027,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 4.0064,
|
2197 |
+
"grad_norm": 0.307625626165692,
|
2198 |
+
"learning_rate": 4.5646621393177e-06,
|
2199 |
+
"loss": 0.3813,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 4.0192,
|
2204 |
+
"grad_norm": 0.359895059636786,
|
2205 |
+
"learning_rate": 4.451449654204685e-06,
|
2206 |
+
"loss": 0.3595,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 4.032,
|
2211 |
+
"grad_norm": 0.24909865193186964,
|
2212 |
+
"learning_rate": 4.339482751647557e-06,
|
2213 |
+
"loss": 0.3616,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 4.0448,
|
2218 |
+
"grad_norm": 0.3648806485319156,
|
2219 |
+
"learning_rate": 4.228770401229824e-06,
|
2220 |
+
"loss": 0.369,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 4.0576,
|
2225 |
+
"grad_norm": 0.4508768732268639,
|
2226 |
+
"learning_rate": 4.119321472033779e-06,
|
2227 |
+
"loss": 0.3598,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 4.0704,
|
2232 |
+
"grad_norm": 0.33319265146607197,
|
2233 |
+
"learning_rate": 4.011144731929981e-06,
|
2234 |
+
"loss": 0.3708,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 4.0832,
|
2239 |
+
"grad_norm": 0.2772075012948269,
|
2240 |
+
"learning_rate": 3.904248846874894e-06,
|
2241 |
+
"loss": 0.3732,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 4.096,
|
2246 |
+
"grad_norm": 0.32215945026006015,
|
2247 |
+
"learning_rate": 3.7986423802166705e-06,
|
2248 |
+
"loss": 0.3593,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 4.1088,
|
2253 |
+
"grad_norm": 0.3279649668658508,
|
2254 |
+
"learning_rate": 3.694333792009115e-06,
|
2255 |
+
"loss": 0.3692,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 4.1216,
|
2260 |
+
"grad_norm": 0.31012637762523926,
|
2261 |
+
"learning_rate": 3.5913314383339937e-06,
|
2262 |
+
"loss": 0.3523,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 4.1344,
|
2267 |
+
"grad_norm": 0.26246355036669916,
|
2268 |
+
"learning_rate": 3.4896435706316e-06,
|
2269 |
+
"loss": 0.3583,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 4.1472,
|
2274 |
+
"grad_norm": 0.28165937028456406,
|
2275 |
+
"learning_rate": 3.3892783350397675e-06,
|
2276 |
+
"loss": 0.3554,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 4.16,
|
2281 |
+
"grad_norm": 0.29778682042645416,
|
2282 |
+
"learning_rate": 3.290243771741275e-06,
|
2283 |
+
"loss": 0.3614,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 4.1728,
|
2288 |
+
"grad_norm": 0.29591789039807403,
|
2289 |
+
"learning_rate": 3.1925478143197418e-06,
|
2290 |
+
"loss": 0.3522,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 4.1856,
|
2295 |
+
"grad_norm": 0.24016911221949988,
|
2296 |
+
"learning_rate": 3.0961982891241083e-06,
|
2297 |
+
"loss": 0.359,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 4.1984,
|
2302 |
+
"grad_norm": 0.23986536636292846,
|
2303 |
+
"learning_rate": 3.001202914641628e-06,
|
2304 |
+
"loss": 0.357,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 4.2112,
|
2309 |
+
"grad_norm": 0.26334209884708454,
|
2310 |
+
"learning_rate": 2.907569300879596e-06,
|
2311 |
+
"loss": 0.3486,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 4.224,
|
2316 |
+
"grad_norm": 0.2347298521857969,
|
2317 |
+
"learning_rate": 2.815304948755664e-06,
|
2318 |
+
"loss": 0.3809,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 4.2368,
|
2323 |
+
"grad_norm": 0.2477382718090426,
|
2324 |
+
"learning_rate": 2.7244172494969978e-06,
|
2325 |
+
"loss": 0.3667,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 4.2496,
|
2330 |
+
"grad_norm": 0.24640888582955534,
|
2331 |
+
"learning_rate": 2.6349134840481294e-06,
|
2332 |
+
"loss": 0.361,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 4.2624,
|
2337 |
+
"grad_norm": 0.23681448161959096,
|
2338 |
+
"learning_rate": 2.546800822487714e-06,
|
2339 |
+
"loss": 0.3578,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 4.2752,
|
2344 |
+
"grad_norm": 0.24377848059734736,
|
2345 |
+
"learning_rate": 2.4600863234541338e-06,
|
2346 |
+
"loss": 0.3769,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 4.288,
|
2351 |
+
"grad_norm": 0.24124734082669758,
|
2352 |
+
"learning_rate": 2.374776933580025e-06,
|
2353 |
+
"loss": 0.3652,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 4.3008,
|
2358 |
+
"grad_norm": 0.23567196328347514,
|
2359 |
+
"learning_rate": 2.2908794869358044e-06,
|
2360 |
+
"loss": 0.3581,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 4.3136,
|
2365 |
+
"grad_norm": 0.2471817925509731,
|
2366 |
+
"learning_rate": 2.2084007044821764e-06,
|
2367 |
+
"loss": 0.3491,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 4.3264,
|
2372 |
+
"grad_norm": 0.22505345794144224,
|
2373 |
+
"learning_rate": 2.127347193531757e-06,
|
2374 |
+
"loss": 0.3806,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 4.3392,
|
2379 |
+
"grad_norm": 0.23309771793506243,
|
2380 |
+
"learning_rate": 2.0477254472197237e-06,
|
2381 |
+
"loss": 0.3592,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 4.352,
|
2386 |
+
"grad_norm": 0.2307999217043977,
|
2387 |
+
"learning_rate": 1.96954184398368e-06,
|
2388 |
+
"loss": 0.3648,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 4.3648,
|
2393 |
+
"grad_norm": 0.226707972968475,
|
2394 |
+
"learning_rate": 1.8928026470526917e-06,
|
2395 |
+
"loss": 0.3676,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 4.3776,
|
2400 |
+
"grad_norm": 0.22081392972723213,
|
2401 |
+
"learning_rate": 1.817514003945524e-06,
|
2402 |
+
"loss": 0.345,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 4.3904,
|
2407 |
+
"grad_norm": 0.2245861482305544,
|
2408 |
+
"learning_rate": 1.743681945978184e-06,
|
2409 |
+
"loss": 0.3617,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 4.4032,
|
2414 |
+
"grad_norm": 0.23412311570974062,
|
2415 |
+
"learning_rate": 1.6713123877807413e-06,
|
2416 |
+
"loss": 0.384,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 4.416,
|
2421 |
+
"grad_norm": 0.22298020322013068,
|
2422 |
+
"learning_rate": 1.6004111268235156e-06,
|
2423 |
+
"loss": 0.3442,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 4.4288,
|
2428 |
+
"grad_norm": 0.22093630814967327,
|
2429 |
+
"learning_rate": 1.5309838429526714e-06,
|
2430 |
+
"loss": 0.3619,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 4.4416,
|
2435 |
+
"grad_norm": 0.22555487152430145,
|
2436 |
+
"learning_rate": 1.4630360979351644e-06,
|
2437 |
+
"loss": 0.3556,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 4.4544,
|
2442 |
+
"grad_norm": 0.2230100622437554,
|
2443 |
+
"learning_rate": 1.396573335013236e-06,
|
2444 |
+
"loss": 0.375,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 4.4672,
|
2449 |
+
"grad_norm": 0.21836815951522665,
|
2450 |
+
"learning_rate": 1.3316008784683265e-06,
|
2451 |
+
"loss": 0.3517,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 4.48,
|
2456 |
+
"grad_norm": 0.2218280639803106,
|
2457 |
+
"learning_rate": 1.2681239331945695e-06,
|
2458 |
+
"loss": 0.3576,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 4.4928,
|
2463 |
+
"grad_norm": 0.20939855098756494,
|
2464 |
+
"learning_rate": 1.2061475842818337e-06,
|
2465 |
+
"loss": 0.3387,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 4.5056,
|
2470 |
+
"grad_norm": 0.21161810150051819,
|
2471 |
+
"learning_rate": 1.1456767966083393e-06,
|
2472 |
+
"loss": 0.3592,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 4.5184,
|
2477 |
+
"grad_norm": 0.21086232167583766,
|
2478 |
+
"learning_rate": 1.086716414442952e-06,
|
2479 |
+
"loss": 0.3676,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 4.5312,
|
2484 |
+
"grad_norm": 0.22193056132525696,
|
2485 |
+
"learning_rate": 1.0292711610570904e-06,
|
2486 |
+
"loss": 0.3395,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 4.5440000000000005,
|
2491 |
+
"grad_norm": 0.2139593798230955,
|
2492 |
+
"learning_rate": 9.733456383463658e-07,
|
2493 |
+
"loss": 0.3497,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 4.5568,
|
2498 |
+
"grad_norm": 0.22173246216531514,
|
2499 |
+
"learning_rate": 9.189443264619102e-07,
|
2500 |
+
"loss": 0.345,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 4.5696,
|
2505 |
+
"grad_norm": 0.2223505979608682,
|
2506 |
+
"learning_rate": 8.660715834514977e-07,
|
2507 |
+
"loss": 0.3311,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 4.5824,
|
2512 |
+
"grad_norm": 0.22064500116435354,
|
2513 |
+
"learning_rate": 8.147316449103959e-07,
|
2514 |
+
"loss": 0.3468,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 4.5952,
|
2519 |
+
"grad_norm": 0.2653736320358872,
|
2520 |
+
"learning_rate": 7.649286236420806e-07,
|
2521 |
+
"loss": 0.3599,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 4.608,
|
2526 |
+
"grad_norm": 0.2058638745445594,
|
2527 |
+
"learning_rate": 7.166665093287539e-07,
|
2528 |
+
"loss": 0.347,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 4.6208,
|
2533 |
+
"grad_norm": 0.20543274515074986,
|
2534 |
+
"learning_rate": 6.69949168211721e-07,
|
2535 |
+
"loss": 0.3703,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 4.6336,
|
2540 |
+
"grad_norm": 0.2110127031713333,
|
2541 |
+
"learning_rate": 6.247803427816945e-07,
|
2542 |
+
"loss": 0.3455,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 4.6464,
|
2547 |
+
"grad_norm": 0.21596202266760922,
|
2548 |
+
"learning_rate": 5.811636514789598e-07,
|
2549 |
+
"loss": 0.3513,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 4.6592,
|
2554 |
+
"grad_norm": 0.22522996290186065,
|
2555 |
+
"learning_rate": 5.391025884035239e-07,
|
2556 |
+
"loss": 0.3306,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 4.672,
|
2561 |
+
"grad_norm": 0.211823793351152,
|
2562 |
+
"learning_rate": 4.986005230351954e-07,
|
2563 |
+
"loss": 0.35,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 4.6848,
|
2568 |
+
"grad_norm": 0.2274284269740909,
|
2569 |
+
"learning_rate": 4.5966069996365993e-07,
|
2570 |
+
"loss": 0.3468,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 4.6975999999999996,
|
2575 |
+
"grad_norm": 0.2264157008952427,
|
2576 |
+
"learning_rate": 4.22286238628562e-07,
|
2577 |
+
"loss": 0.3721,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 4.7104,
|
2582 |
+
"grad_norm": 0.2087623130384067,
|
2583 |
+
"learning_rate": 3.8648013306960664e-07,
|
2584 |
+
"loss": 0.3556,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 4.7232,
|
2589 |
+
"grad_norm": 0.2184256543912645,
|
2590 |
+
"learning_rate": 3.522452516867048e-07,
|
2591 |
+
"loss": 0.3552,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 4.736,
|
2596 |
+
"grad_norm": 0.2036290746246842,
|
2597 |
+
"learning_rate": 3.1958433701019697e-07,
|
2598 |
+
"loss": 0.3655,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 4.7488,
|
2603 |
+
"grad_norm": 0.2157222040338971,
|
2604 |
+
"learning_rate": 2.8850000548115155e-07,
|
2605 |
+
"loss": 0.3519,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 4.7616,
|
2610 |
+
"grad_norm": 0.20350721467845614,
|
2611 |
+
"learning_rate": 2.5899474724174313e-07,
|
2612 |
+
"loss": 0.3604,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 4.7744,
|
2617 |
+
"grad_norm": 0.2099619313758119,
|
2618 |
+
"learning_rate": 2.3107092593579905e-07,
|
2619 |
+
"loss": 0.3544,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 4.7872,
|
2624 |
+
"grad_norm": 0.2032473270845786,
|
2625 |
+
"learning_rate": 2.0473077851942858e-07,
|
2626 |
+
"loss": 0.3726,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 4.8,
|
2631 |
+
"grad_norm": 0.20459497279966066,
|
2632 |
+
"learning_rate": 1.799764150818306e-07,
|
2633 |
+
"loss": 0.3418,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 4.8128,
|
2638 |
+
"grad_norm": 0.20198939605952645,
|
2639 |
+
"learning_rate": 1.5680981867625566e-07,
|
2640 |
+
"loss": 0.3799,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 4.8256,
|
2645 |
+
"grad_norm": 0.21873468599263174,
|
2646 |
+
"learning_rate": 1.3523284516113955e-07,
|
2647 |
+
"loss": 0.3684,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 4.8384,
|
2652 |
+
"grad_norm": 0.20799442470283128,
|
2653 |
+
"learning_rate": 1.1524722305144231e-07,
|
2654 |
+
"loss": 0.3705,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 4.8512,
|
2659 |
+
"grad_norm": 0.21174809799681588,
|
2660 |
+
"learning_rate": 9.685455338016347e-08,
|
2661 |
+
"loss": 0.3683,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 4.864,
|
2666 |
+
"grad_norm": 0.20958435877026446,
|
2667 |
+
"learning_rate": 8.005630957010014e-08,
|
2668 |
+
"loss": 0.3633,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 4.8768,
|
2673 |
+
"grad_norm": 0.2176512792959373,
|
2674 |
+
"learning_rate": 6.485383731580142e-08,
|
2675 |
+
"loss": 0.3888,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 4.8896,
|
2680 |
+
"grad_norm": 0.2073198282002002,
|
2681 |
+
"learning_rate": 5.1248354475768034e-08,
|
2682 |
+
"loss": 0.3529,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 4.9024,
|
2687 |
+
"grad_norm": 0.2154539076366996,
|
2688 |
+
"learning_rate": 3.924095097489922e-08,
|
2689 |
+
"loss": 0.3405,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 4.9152000000000005,
|
2694 |
+
"grad_norm": 0.20959975179624796,
|
2695 |
+
"learning_rate": 2.8832588717164766e-08,
|
2696 |
+
"loss": 0.3743,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 4.928,
|
2701 |
+
"grad_norm": 0.20556679449289894,
|
2702 |
+
"learning_rate": 2.0024101508555604e-08,
|
2703 |
+
"loss": 0.3555,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 4.9408,
|
2708 |
+
"grad_norm": 0.21217068333574515,
|
2709 |
+
"learning_rate": 1.281619499029274e-08,
|
2710 |
+
"loss": 0.3458,
|
2711 |
+
"step": 386
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 4.9536,
|
2715 |
+
"grad_norm": 0.20702970651106367,
|
2716 |
+
"learning_rate": 7.209446582292501e-09,
|
2717 |
+
"loss": 0.3545,
|
2718 |
+
"step": 387
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 4.9664,
|
2722 |
+
"grad_norm": 0.2123866845066802,
|
2723 |
+
"learning_rate": 3.2043054369057523e-09,
|
2724 |
+
"loss": 0.3672,
|
2725 |
+
"step": 388
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 4.9792,
|
2729 |
+
"grad_norm": 0.2007902799746407,
|
2730 |
+
"learning_rate": 8.010924029533406e-10,
|
2731 |
+
"loss": 0.3521,
|
2732 |
+
"step": 389
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 4.992,
|
2736 |
+
"grad_norm": 0.21132775167360818,
|
2737 |
+
"learning_rate": 0.0,
|
2738 |
+
"loss": 0.37,
|
2739 |
+
"step": 390
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 4.992,
|
2743 |
+
"step": 390,
|
2744 |
+
"total_flos": 1.9434542678430188e+18,
|
2745 |
+
"train_loss": 0.5044988004060892,
|
2746 |
+
"train_runtime": 62031.5499,
|
2747 |
+
"train_samples_per_second": 0.806,
|
2748 |
+
"train_steps_per_second": 0.006
|
2749 |
+
}
|
2750 |
+
],
|
2751 |
+
"logging_steps": 1,
|
2752 |
+
"max_steps": 390,
|
2753 |
+
"num_input_tokens_seen": 0,
|
2754 |
+
"num_train_epochs": 5,
|
2755 |
+
"save_steps": 500,
|
2756 |
+
"stateful_callbacks": {
|
2757 |
+
"TrainerControl": {
|
2758 |
+
"args": {
|
2759 |
+
"should_epoch_stop": false,
|
2760 |
+
"should_evaluate": false,
|
2761 |
+
"should_log": false,
|
2762 |
+
"should_save": true,
|
2763 |
+
"should_training_stop": true
|
2764 |
+
},
|
2765 |
+
"attributes": {}
|
2766 |
+
}
|
2767 |
+
},
|
2768 |
+
"total_flos": 1.9434542678430188e+18,
|
2769 |
+
"train_batch_size": 1,
|
2770 |
+
"trial_name": null,
|
2771 |
+
"trial_params": null
|
2772 |
+
}
|
training_loss.png
ADDED
![]() |