End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1449 -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: qwen2-5_multiple_samples_gpt_verification_seed_code
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# qwen2-5_multiple_samples_gpt_verification_seed_code
|
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: qwen2-5_multiple_samples_gpt_verification_seed_code
|
|
|
16 |
|
17 |
# qwen2-5_multiple_samples_gpt_verification_seed_code
|
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/multiple_samples_gpt_verification_seed_code dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.985148514851485,
|
3 |
+
"total_flos": 138721009057792.0,
|
4 |
+
"train_loss": 0.7744821606583856,
|
5 |
+
"train_runtime": 2765.7022,
|
6 |
+
"train_samples_per_second": 6.994,
|
7 |
+
"train_steps_per_second": 0.073
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.985148514851485,
|
3 |
+
"total_flos": 138721009057792.0,
|
4 |
+
"train_loss": 0.7744821606583856,
|
5 |
+
"train_runtime": 2765.7022,
|
6 |
+
"train_samples_per_second": 6.994,
|
7 |
+
"train_steps_per_second": 0.073
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1449 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.985148514851485,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 201,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01485148514851485,
|
13 |
+
"grad_norm": 6.48456557234758,
|
14 |
+
"learning_rate": 4.7619047619047623e-07,
|
15 |
+
"loss": 1.1703,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0297029702970297,
|
20 |
+
"grad_norm": 6.594689369570434,
|
21 |
+
"learning_rate": 9.523809523809525e-07,
|
22 |
+
"loss": 1.1918,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04455445544554455,
|
27 |
+
"grad_norm": 6.23293374565609,
|
28 |
+
"learning_rate": 1.4285714285714286e-06,
|
29 |
+
"loss": 1.1576,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.0594059405940594,
|
34 |
+
"grad_norm": 6.401466218218343,
|
35 |
+
"learning_rate": 1.904761904761905e-06,
|
36 |
+
"loss": 1.2099,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.07425742574257425,
|
41 |
+
"grad_norm": 5.7694144179716,
|
42 |
+
"learning_rate": 2.380952380952381e-06,
|
43 |
+
"loss": 1.1447,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.0891089108910891,
|
48 |
+
"grad_norm": 4.584773158856208,
|
49 |
+
"learning_rate": 2.8571428571428573e-06,
|
50 |
+
"loss": 1.1128,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10396039603960396,
|
55 |
+
"grad_norm": 4.408264566567633,
|
56 |
+
"learning_rate": 3.3333333333333333e-06,
|
57 |
+
"loss": 1.1444,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.1188118811881188,
|
62 |
+
"grad_norm": 2.6961190293519213,
|
63 |
+
"learning_rate": 3.80952380952381e-06,
|
64 |
+
"loss": 1.0333,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.13366336633663367,
|
69 |
+
"grad_norm": 2.366910263126932,
|
70 |
+
"learning_rate": 4.2857142857142855e-06,
|
71 |
+
"loss": 1.039,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1485148514851485,
|
76 |
+
"grad_norm": 3.6999770055634555,
|
77 |
+
"learning_rate": 4.761904761904762e-06,
|
78 |
+
"loss": 1.0171,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16336633663366337,
|
83 |
+
"grad_norm": 3.894316339063172,
|
84 |
+
"learning_rate": 5.2380952380952384e-06,
|
85 |
+
"loss": 1.0232,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1782178217821782,
|
90 |
+
"grad_norm": 3.8249399482892703,
|
91 |
+
"learning_rate": 5.7142857142857145e-06,
|
92 |
+
"loss": 1.0875,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19306930693069307,
|
97 |
+
"grad_norm": 3.0670108504304334,
|
98 |
+
"learning_rate": 6.1904761904761914e-06,
|
99 |
+
"loss": 1.0108,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.2079207920792079,
|
104 |
+
"grad_norm": 2.6030053112293676,
|
105 |
+
"learning_rate": 6.666666666666667e-06,
|
106 |
+
"loss": 0.9857,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.22277227722772278,
|
111 |
+
"grad_norm": 2.370576635506437,
|
112 |
+
"learning_rate": 7.1428571428571436e-06,
|
113 |
+
"loss": 0.9728,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.2376237623762376,
|
118 |
+
"grad_norm": 2.3399338429829615,
|
119 |
+
"learning_rate": 7.61904761904762e-06,
|
120 |
+
"loss": 0.9694,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.2524752475247525,
|
125 |
+
"grad_norm": 1.8311702968068935,
|
126 |
+
"learning_rate": 8.095238095238097e-06,
|
127 |
+
"loss": 0.934,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.26732673267326734,
|
132 |
+
"grad_norm": 1.4308728197686567,
|
133 |
+
"learning_rate": 8.571428571428571e-06,
|
134 |
+
"loss": 0.9175,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.28217821782178215,
|
139 |
+
"grad_norm": 1.5620018816986423,
|
140 |
+
"learning_rate": 9.047619047619049e-06,
|
141 |
+
"loss": 0.9595,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.297029702970297,
|
146 |
+
"grad_norm": 1.4122378912732825,
|
147 |
+
"learning_rate": 9.523809523809525e-06,
|
148 |
+
"loss": 0.9082,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3118811881188119,
|
153 |
+
"grad_norm": 1.2544223318659375,
|
154 |
+
"learning_rate": 1e-05,
|
155 |
+
"loss": 0.8293,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32673267326732675,
|
160 |
+
"grad_norm": 1.0621864931131515,
|
161 |
+
"learning_rate": 9.999238475781957e-06,
|
162 |
+
"loss": 0.8615,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.3415841584158416,
|
167 |
+
"grad_norm": 1.067756678297183,
|
168 |
+
"learning_rate": 9.99695413509548e-06,
|
169 |
+
"loss": 0.8963,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3564356435643564,
|
174 |
+
"grad_norm": 1.1625635155258327,
|
175 |
+
"learning_rate": 9.993147673772869e-06,
|
176 |
+
"loss": 0.875,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.3712871287128713,
|
181 |
+
"grad_norm": 0.9411109178322155,
|
182 |
+
"learning_rate": 9.987820251299121e-06,
|
183 |
+
"loss": 0.8488,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38613861386138615,
|
188 |
+
"grad_norm": 0.8920662981646181,
|
189 |
+
"learning_rate": 9.980973490458728e-06,
|
190 |
+
"loss": 0.8838,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.400990099009901,
|
195 |
+
"grad_norm": 0.9110888685882579,
|
196 |
+
"learning_rate": 9.972609476841368e-06,
|
197 |
+
"loss": 0.8299,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.4158415841584158,
|
202 |
+
"grad_norm": 0.8423480290666405,
|
203 |
+
"learning_rate": 9.962730758206612e-06,
|
204 |
+
"loss": 0.866,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4306930693069307,
|
209 |
+
"grad_norm": 0.8825677961798845,
|
210 |
+
"learning_rate": 9.951340343707852e-06,
|
211 |
+
"loss": 0.8509,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.44554455445544555,
|
216 |
+
"grad_norm": 0.7581834656729458,
|
217 |
+
"learning_rate": 9.938441702975689e-06,
|
218 |
+
"loss": 0.8288,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.4603960396039604,
|
223 |
+
"grad_norm": 1.055473120057636,
|
224 |
+
"learning_rate": 9.924038765061042e-06,
|
225 |
+
"loss": 0.838,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.4752475247524752,
|
230 |
+
"grad_norm": 0.7922082592771019,
|
231 |
+
"learning_rate": 9.908135917238321e-06,
|
232 |
+
"loss": 0.8609,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4900990099009901,
|
237 |
+
"grad_norm": 0.754302150819188,
|
238 |
+
"learning_rate": 9.890738003669029e-06,
|
239 |
+
"loss": 0.8583,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.504950495049505,
|
244 |
+
"grad_norm": 1.0626447047968044,
|
245 |
+
"learning_rate": 9.871850323926178e-06,
|
246 |
+
"loss": 0.7944,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5198019801980198,
|
251 |
+
"grad_norm": 0.8923345386621004,
|
252 |
+
"learning_rate": 9.851478631379982e-06,
|
253 |
+
"loss": 0.8975,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5346534653465347,
|
258 |
+
"grad_norm": 0.7366372348142536,
|
259 |
+
"learning_rate": 9.829629131445342e-06,
|
260 |
+
"loss": 0.8676,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5495049504950495,
|
265 |
+
"grad_norm": 1.2738146882781316,
|
266 |
+
"learning_rate": 9.806308479691595e-06,
|
267 |
+
"loss": 0.8975,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5643564356435643,
|
272 |
+
"grad_norm": 0.8592154350621992,
|
273 |
+
"learning_rate": 9.781523779815178e-06,
|
274 |
+
"loss": 0.8207,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5792079207920792,
|
279 |
+
"grad_norm": 0.7049611640819059,
|
280 |
+
"learning_rate": 9.755282581475769e-06,
|
281 |
+
"loss": 0.8416,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.594059405940594,
|
286 |
+
"grad_norm": 0.8172609258295951,
|
287 |
+
"learning_rate": 9.727592877996585e-06,
|
288 |
+
"loss": 0.9003,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6089108910891089,
|
293 |
+
"grad_norm": 0.943383839148404,
|
294 |
+
"learning_rate": 9.698463103929542e-06,
|
295 |
+
"loss": 0.8279,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6237623762376238,
|
300 |
+
"grad_norm": 0.8200827897891733,
|
301 |
+
"learning_rate": 9.667902132486009e-06,
|
302 |
+
"loss": 0.8252,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6386138613861386,
|
307 |
+
"grad_norm": 0.750459606762128,
|
308 |
+
"learning_rate": 9.635919272833938e-06,
|
309 |
+
"loss": 0.8417,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6534653465346535,
|
314 |
+
"grad_norm": 0.8256180076390092,
|
315 |
+
"learning_rate": 9.602524267262202e-06,
|
316 |
+
"loss": 0.8068,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6683168316831684,
|
321 |
+
"grad_norm": 0.7362971479000804,
|
322 |
+
"learning_rate": 9.567727288213005e-06,
|
323 |
+
"loss": 0.8116,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.6831683168316832,
|
328 |
+
"grad_norm": 0.6611484879378139,
|
329 |
+
"learning_rate": 9.531538935183252e-06,
|
330 |
+
"loss": 0.8049,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.698019801980198,
|
335 |
+
"grad_norm": 0.6483590920807921,
|
336 |
+
"learning_rate": 9.493970231495836e-06,
|
337 |
+
"loss": 0.8158,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.7128712871287128,
|
342 |
+
"grad_norm": 0.6499715006108466,
|
343 |
+
"learning_rate": 9.45503262094184e-06,
|
344 |
+
"loss": 0.7963,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7277227722772277,
|
349 |
+
"grad_norm": 0.6445318374705665,
|
350 |
+
"learning_rate": 9.414737964294636e-06,
|
351 |
+
"loss": 0.8372,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7425742574257426,
|
356 |
+
"grad_norm": 0.6749851299246947,
|
357 |
+
"learning_rate": 9.37309853569698e-06,
|
358 |
+
"loss": 0.7974,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7574257425742574,
|
363 |
+
"grad_norm": 0.6430920805349686,
|
364 |
+
"learning_rate": 9.330127018922195e-06,
|
365 |
+
"loss": 0.797,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.7722772277227723,
|
370 |
+
"grad_norm": 0.7122774157069339,
|
371 |
+
"learning_rate": 9.285836503510562e-06,
|
372 |
+
"loss": 0.8178,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.7871287128712872,
|
377 |
+
"grad_norm": 0.6222782441453497,
|
378 |
+
"learning_rate": 9.24024048078213e-06,
|
379 |
+
"loss": 0.8286,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.801980198019802,
|
384 |
+
"grad_norm": 0.6774898848973883,
|
385 |
+
"learning_rate": 9.193352839727122e-06,
|
386 |
+
"loss": 0.8199,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.8168316831683168,
|
391 |
+
"grad_norm": 0.6685577033399003,
|
392 |
+
"learning_rate": 9.145187862775208e-06,
|
393 |
+
"loss": 0.8325,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.8316831683168316,
|
398 |
+
"grad_norm": 0.6954610466193606,
|
399 |
+
"learning_rate": 9.09576022144496e-06,
|
400 |
+
"loss": 0.7876,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.8465346534653465,
|
405 |
+
"grad_norm": 0.6717917465533401,
|
406 |
+
"learning_rate": 9.045084971874738e-06,
|
407 |
+
"loss": 0.7889,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.8613861386138614,
|
412 |
+
"grad_norm": 0.6710948817812145,
|
413 |
+
"learning_rate": 8.993177550236464e-06,
|
414 |
+
"loss": 0.819,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.8762376237623762,
|
419 |
+
"grad_norm": 0.6677437938362905,
|
420 |
+
"learning_rate": 8.94005376803361e-06,
|
421 |
+
"loss": 0.815,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.8910891089108911,
|
426 |
+
"grad_norm": 0.6333145369648289,
|
427 |
+
"learning_rate": 8.885729807284855e-06,
|
428 |
+
"loss": 0.8033,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.905940594059406,
|
433 |
+
"grad_norm": 0.810414558269581,
|
434 |
+
"learning_rate": 8.83022221559489e-06,
|
435 |
+
"loss": 0.8495,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.9207920792079208,
|
440 |
+
"grad_norm": 0.8092632573192287,
|
441 |
+
"learning_rate": 8.773547901113862e-06,
|
442 |
+
"loss": 0.7934,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.9356435643564357,
|
447 |
+
"grad_norm": 0.6595329129270622,
|
448 |
+
"learning_rate": 8.715724127386971e-06,
|
449 |
+
"loss": 0.8037,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.9504950495049505,
|
454 |
+
"grad_norm": 0.8763924940559503,
|
455 |
+
"learning_rate": 8.656768508095853e-06,
|
456 |
+
"loss": 0.8148,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.9653465346534653,
|
461 |
+
"grad_norm": 0.7170557641262976,
|
462 |
+
"learning_rate": 8.596699001693257e-06,
|
463 |
+
"loss": 0.8634,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.9801980198019802,
|
468 |
+
"grad_norm": 0.7120219047413958,
|
469 |
+
"learning_rate": 8.535533905932739e-06,
|
470 |
+
"loss": 0.8066,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.995049504950495,
|
475 |
+
"grad_norm": 0.7743156368261691,
|
476 |
+
"learning_rate": 8.473291852294986e-06,
|
477 |
+
"loss": 0.7911,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.00990099009901,
|
482 |
+
"grad_norm": 1.3350443160879135,
|
483 |
+
"learning_rate": 8.409991800312493e-06,
|
484 |
+
"loss": 1.252,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.0247524752475248,
|
489 |
+
"grad_norm": 0.7990302178349659,
|
490 |
+
"learning_rate": 8.345653031794292e-06,
|
491 |
+
"loss": 0.8425,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.0396039603960396,
|
496 |
+
"grad_norm": 0.6239804634649714,
|
497 |
+
"learning_rate": 8.280295144952537e-06,
|
498 |
+
"loss": 0.6491,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.0544554455445545,
|
503 |
+
"grad_norm": 0.6694927788559727,
|
504 |
+
"learning_rate": 8.213938048432697e-06,
|
505 |
+
"loss": 0.7202,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.0693069306930694,
|
510 |
+
"grad_norm": 0.7432686527943043,
|
511 |
+
"learning_rate": 8.146601955249187e-06,
|
512 |
+
"loss": 0.741,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.0841584158415842,
|
517 |
+
"grad_norm": 0.6416160685114952,
|
518 |
+
"learning_rate": 8.078307376628292e-06,
|
519 |
+
"loss": 0.8075,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.099009900990099,
|
524 |
+
"grad_norm": 0.698781285729984,
|
525 |
+
"learning_rate": 8.009075115760243e-06,
|
526 |
+
"loss": 0.6919,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.113861386138614,
|
531 |
+
"grad_norm": 0.6958006649391136,
|
532 |
+
"learning_rate": 7.938926261462366e-06,
|
533 |
+
"loss": 0.6921,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.1287128712871288,
|
538 |
+
"grad_norm": 0.6237956171364151,
|
539 |
+
"learning_rate": 7.86788218175523e-06,
|
540 |
+
"loss": 0.7287,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.1435643564356435,
|
545 |
+
"grad_norm": 0.7252061300181446,
|
546 |
+
"learning_rate": 7.795964517353734e-06,
|
547 |
+
"loss": 0.8264,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.1584158415841583,
|
552 |
+
"grad_norm": 0.674352802334064,
|
553 |
+
"learning_rate": 7.723195175075136e-06,
|
554 |
+
"loss": 0.6763,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.1732673267326732,
|
559 |
+
"grad_norm": 0.6546358450685043,
|
560 |
+
"learning_rate": 7.649596321166024e-06,
|
561 |
+
"loss": 0.7588,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.188118811881188,
|
566 |
+
"grad_norm": 0.6479565965693698,
|
567 |
+
"learning_rate": 7.575190374550272e-06,
|
568 |
+
"loss": 0.7277,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.202970297029703,
|
573 |
+
"grad_norm": 0.6626458405633724,
|
574 |
+
"learning_rate": 7.500000000000001e-06,
|
575 |
+
"loss": 0.7174,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.2178217821782178,
|
580 |
+
"grad_norm": 0.6756782160293404,
|
581 |
+
"learning_rate": 7.424048101231687e-06,
|
582 |
+
"loss": 0.7548,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.2326732673267327,
|
587 |
+
"grad_norm": 0.808652221633845,
|
588 |
+
"learning_rate": 7.347357813929455e-06,
|
589 |
+
"loss": 0.7933,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.2475247524752475,
|
594 |
+
"grad_norm": 0.573811498550998,
|
595 |
+
"learning_rate": 7.269952498697734e-06,
|
596 |
+
"loss": 0.6931,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.2623762376237624,
|
601 |
+
"grad_norm": 0.646918318906572,
|
602 |
+
"learning_rate": 7.191855733945388e-06,
|
603 |
+
"loss": 0.7785,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.2772277227722773,
|
608 |
+
"grad_norm": 0.5958671013573899,
|
609 |
+
"learning_rate": 7.113091308703498e-06,
|
610 |
+
"loss": 0.709,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.2920792079207921,
|
615 |
+
"grad_norm": 0.7165583961725527,
|
616 |
+
"learning_rate": 7.033683215379002e-06,
|
617 |
+
"loss": 0.6866,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.306930693069307,
|
622 |
+
"grad_norm": 0.8848970604430635,
|
623 |
+
"learning_rate": 6.953655642446368e-06,
|
624 |
+
"loss": 0.7576,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.3217821782178218,
|
629 |
+
"grad_norm": 0.6315927520470037,
|
630 |
+
"learning_rate": 6.873032967079562e-06,
|
631 |
+
"loss": 0.7615,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.3366336633663367,
|
636 |
+
"grad_norm": 0.6472208368826241,
|
637 |
+
"learning_rate": 6.7918397477265e-06,
|
638 |
+
"loss": 0.7158,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.3514851485148514,
|
643 |
+
"grad_norm": 0.8136088626747461,
|
644 |
+
"learning_rate": 6.710100716628345e-06,
|
645 |
+
"loss": 0.8109,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.3663366336633662,
|
650 |
+
"grad_norm": 0.6789106969356933,
|
651 |
+
"learning_rate": 6.627840772285784e-06,
|
652 |
+
"loss": 0.6553,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.381188118811881,
|
657 |
+
"grad_norm": 0.6684192399196682,
|
658 |
+
"learning_rate": 6.545084971874738e-06,
|
659 |
+
"loss": 0.7604,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.396039603960396,
|
664 |
+
"grad_norm": 0.6470872320361255,
|
665 |
+
"learning_rate": 6.461858523613684e-06,
|
666 |
+
"loss": 0.7548,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.4108910891089108,
|
671 |
+
"grad_norm": 0.6486567165728302,
|
672 |
+
"learning_rate": 6.378186779084996e-06,
|
673 |
+
"loss": 0.7484,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.4257425742574257,
|
678 |
+
"grad_norm": 0.8461471561359525,
|
679 |
+
"learning_rate": 6.294095225512604e-06,
|
680 |
+
"loss": 0.7523,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.4405940594059405,
|
685 |
+
"grad_norm": 0.6814439448544345,
|
686 |
+
"learning_rate": 6.209609477998339e-06,
|
687 |
+
"loss": 0.7334,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.4554455445544554,
|
692 |
+
"grad_norm": 0.5328496145736351,
|
693 |
+
"learning_rate": 6.124755271719326e-06,
|
694 |
+
"loss": 0.6584,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.4702970297029703,
|
699 |
+
"grad_norm": 0.680813767822209,
|
700 |
+
"learning_rate": 6.039558454088796e-06,
|
701 |
+
"loss": 0.8677,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.4851485148514851,
|
706 |
+
"grad_norm": 0.7359886080900357,
|
707 |
+
"learning_rate": 5.954044976882725e-06,
|
708 |
+
"loss": 0.7591,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.5,
|
713 |
+
"grad_norm": 0.6483808901598864,
|
714 |
+
"learning_rate": 5.8682408883346535e-06,
|
715 |
+
"loss": 0.7024,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.5148514851485149,
|
720 |
+
"grad_norm": 0.573259352808237,
|
721 |
+
"learning_rate": 5.782172325201155e-06,
|
722 |
+
"loss": 0.7647,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.5297029702970297,
|
727 |
+
"grad_norm": 0.620232903115091,
|
728 |
+
"learning_rate": 5.695865504800328e-06,
|
729 |
+
"loss": 0.746,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.5445544554455446,
|
734 |
+
"grad_norm": 0.6008704350145148,
|
735 |
+
"learning_rate": 5.609346717025738e-06,
|
736 |
+
"loss": 0.7653,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.5594059405940595,
|
741 |
+
"grad_norm": 0.6651231967169247,
|
742 |
+
"learning_rate": 5.522642316338268e-06,
|
743 |
+
"loss": 0.7284,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.5742574257425743,
|
748 |
+
"grad_norm": 0.6508987525775917,
|
749 |
+
"learning_rate": 5.435778713738292e-06,
|
750 |
+
"loss": 0.7081,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.5891089108910892,
|
755 |
+
"grad_norm": 0.6668715575162661,
|
756 |
+
"learning_rate": 5.348782368720627e-06,
|
757 |
+
"loss": 0.7653,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.603960396039604,
|
762 |
+
"grad_norm": 0.5993279825702773,
|
763 |
+
"learning_rate": 5.2616797812147205e-06,
|
764 |
+
"loss": 0.6936,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.618811881188119,
|
769 |
+
"grad_norm": 0.6642916869660335,
|
770 |
+
"learning_rate": 5.174497483512506e-06,
|
771 |
+
"loss": 0.6781,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.6336633663366338,
|
776 |
+
"grad_norm": 0.666238358663729,
|
777 |
+
"learning_rate": 5.087262032186418e-06,
|
778 |
+
"loss": 0.7442,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.6485148514851486,
|
783 |
+
"grad_norm": 0.5597421651434128,
|
784 |
+
"learning_rate": 5e-06,
|
785 |
+
"loss": 0.781,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.6633663366336635,
|
790 |
+
"grad_norm": 0.5707641758576157,
|
791 |
+
"learning_rate": 4.9127379678135825e-06,
|
792 |
+
"loss": 0.6567,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.6782178217821784,
|
797 |
+
"grad_norm": 0.7209030283118137,
|
798 |
+
"learning_rate": 4.825502516487497e-06,
|
799 |
+
"loss": 0.8752,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.693069306930693,
|
804 |
+
"grad_norm": 0.6674679363110967,
|
805 |
+
"learning_rate": 4.738320218785281e-06,
|
806 |
+
"loss": 0.6735,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.7079207920792079,
|
811 |
+
"grad_norm": 0.5604986801350424,
|
812 |
+
"learning_rate": 4.651217631279374e-06,
|
813 |
+
"loss": 0.6056,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.7227722772277227,
|
818 |
+
"grad_norm": 0.6669131750643947,
|
819 |
+
"learning_rate": 4.564221286261709e-06,
|
820 |
+
"loss": 0.7485,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.7376237623762376,
|
825 |
+
"grad_norm": 0.64731110152955,
|
826 |
+
"learning_rate": 4.477357683661734e-06,
|
827 |
+
"loss": 0.7505,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.7524752475247525,
|
832 |
+
"grad_norm": 0.6087298446862004,
|
833 |
+
"learning_rate": 4.390653282974264e-06,
|
834 |
+
"loss": 0.7236,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.7673267326732673,
|
839 |
+
"grad_norm": 0.605354758035472,
|
840 |
+
"learning_rate": 4.304134495199675e-06,
|
841 |
+
"loss": 0.7576,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.7821782178217822,
|
846 |
+
"grad_norm": 0.592121550404726,
|
847 |
+
"learning_rate": 4.217827674798845e-06,
|
848 |
+
"loss": 0.6612,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.797029702970297,
|
853 |
+
"grad_norm": 0.583998747608208,
|
854 |
+
"learning_rate": 4.131759111665349e-06,
|
855 |
+
"loss": 0.8031,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.811881188118812,
|
860 |
+
"grad_norm": 0.5401381825177095,
|
861 |
+
"learning_rate": 4.045955023117276e-06,
|
862 |
+
"loss": 0.7083,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.8267326732673266,
|
867 |
+
"grad_norm": 0.5505024887448378,
|
868 |
+
"learning_rate": 3.960441545911205e-06,
|
869 |
+
"loss": 0.6603,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.8415841584158414,
|
874 |
+
"grad_norm": 0.5807490002016577,
|
875 |
+
"learning_rate": 3.875244728280676e-06,
|
876 |
+
"loss": 0.7428,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.8564356435643563,
|
881 |
+
"grad_norm": 0.5775296918472558,
|
882 |
+
"learning_rate": 3.790390522001662e-06,
|
883 |
+
"loss": 0.7071,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.8712871287128712,
|
888 |
+
"grad_norm": 0.5618797996455542,
|
889 |
+
"learning_rate": 3.705904774487396e-06,
|
890 |
+
"loss": 0.7738,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.886138613861386,
|
895 |
+
"grad_norm": 0.5612544221604727,
|
896 |
+
"learning_rate": 3.6218132209150047e-06,
|
897 |
+
"loss": 0.7353,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.900990099009901,
|
902 |
+
"grad_norm": 0.5269006078917019,
|
903 |
+
"learning_rate": 3.538141476386317e-06,
|
904 |
+
"loss": 0.7185,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 1.9158415841584158,
|
909 |
+
"grad_norm": 0.5442468804329766,
|
910 |
+
"learning_rate": 3.4549150281252635e-06,
|
911 |
+
"loss": 0.696,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 1.9306930693069306,
|
916 |
+
"grad_norm": 0.5960660751056697,
|
917 |
+
"learning_rate": 3.372159227714218e-06,
|
918 |
+
"loss": 0.7649,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 1.9455445544554455,
|
923 |
+
"grad_norm": 0.4969333687228696,
|
924 |
+
"learning_rate": 3.289899283371657e-06,
|
925 |
+
"loss": 0.7024,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.9603960396039604,
|
930 |
+
"grad_norm": 0.5553043936209708,
|
931 |
+
"learning_rate": 3.2081602522734987e-06,
|
932 |
+
"loss": 0.823,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 1.9752475247524752,
|
937 |
+
"grad_norm": 0.5681040781939833,
|
938 |
+
"learning_rate": 3.12696703292044e-06,
|
939 |
+
"loss": 0.7705,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 1.99009900990099,
|
944 |
+
"grad_norm": 0.6009985220517085,
|
945 |
+
"learning_rate": 3.0463443575536324e-06,
|
946 |
+
"loss": 0.7319,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.004950495049505,
|
951 |
+
"grad_norm": 1.2209353424526557,
|
952 |
+
"learning_rate": 2.966316784621e-06,
|
953 |
+
"loss": 0.9991,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.01980198019802,
|
958 |
+
"grad_norm": 0.6663865953806991,
|
959 |
+
"learning_rate": 2.886908691296504e-06,
|
960 |
+
"loss": 0.7344,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.0346534653465347,
|
965 |
+
"grad_norm": 0.6515234599013568,
|
966 |
+
"learning_rate": 2.8081442660546126e-06,
|
967 |
+
"loss": 0.6747,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.0495049504950495,
|
972 |
+
"grad_norm": 0.5730091194025813,
|
973 |
+
"learning_rate": 2.7300475013022666e-06,
|
974 |
+
"loss": 0.603,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.0643564356435644,
|
979 |
+
"grad_norm": 0.5406638850651563,
|
980 |
+
"learning_rate": 2.6526421860705474e-06,
|
981 |
+
"loss": 0.7451,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.0792079207920793,
|
986 |
+
"grad_norm": 0.5841557122529807,
|
987 |
+
"learning_rate": 2.5759518987683154e-06,
|
988 |
+
"loss": 0.7037,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.094059405940594,
|
993 |
+
"grad_norm": 0.5894024920902818,
|
994 |
+
"learning_rate": 2.5000000000000015e-06,
|
995 |
+
"loss": 0.6763,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.108910891089109,
|
1000 |
+
"grad_norm": 0.6174804381821258,
|
1001 |
+
"learning_rate": 2.424809625449729e-06,
|
1002 |
+
"loss": 0.6384,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.123762376237624,
|
1007 |
+
"grad_norm": 0.6119987306390974,
|
1008 |
+
"learning_rate": 2.3504036788339763e-06,
|
1009 |
+
"loss": 0.7545,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.1386138613861387,
|
1014 |
+
"grad_norm": 0.5006999182134887,
|
1015 |
+
"learning_rate": 2.2768048249248648e-06,
|
1016 |
+
"loss": 0.5474,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.1534653465346536,
|
1021 |
+
"grad_norm": 0.5375559180884052,
|
1022 |
+
"learning_rate": 2.204035482646267e-06,
|
1023 |
+
"loss": 0.6522,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.1683168316831685,
|
1028 |
+
"grad_norm": 0.5708691567653545,
|
1029 |
+
"learning_rate": 2.132117818244771e-06,
|
1030 |
+
"loss": 0.6746,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.1831683168316833,
|
1035 |
+
"grad_norm": 0.5360011345721072,
|
1036 |
+
"learning_rate": 2.061073738537635e-06,
|
1037 |
+
"loss": 0.6705,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.198019801980198,
|
1042 |
+
"grad_norm": 0.6053709432824774,
|
1043 |
+
"learning_rate": 1.990924884239758e-06,
|
1044 |
+
"loss": 0.7101,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.212871287128713,
|
1049 |
+
"grad_norm": 0.5531801803062121,
|
1050 |
+
"learning_rate": 1.9216926233717087e-06,
|
1051 |
+
"loss": 0.6503,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.227722772277228,
|
1056 |
+
"grad_norm": 0.5761743172160733,
|
1057 |
+
"learning_rate": 1.8533980447508138e-06,
|
1058 |
+
"loss": 0.6597,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.2425742574257423,
|
1063 |
+
"grad_norm": 0.5920189276988723,
|
1064 |
+
"learning_rate": 1.7860619515673034e-06,
|
1065 |
+
"loss": 0.7937,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.2574257425742577,
|
1070 |
+
"grad_norm": 0.4711557273037673,
|
1071 |
+
"learning_rate": 1.7197048550474643e-06,
|
1072 |
+
"loss": 0.574,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.272277227722772,
|
1077 |
+
"grad_norm": 0.5323981360953441,
|
1078 |
+
"learning_rate": 1.6543469682057105e-06,
|
1079 |
+
"loss": 0.6766,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.287128712871287,
|
1084 |
+
"grad_norm": 0.5677075588486846,
|
1085 |
+
"learning_rate": 1.5900081996875083e-06,
|
1086 |
+
"loss": 0.7836,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 2.301980198019802,
|
1091 |
+
"grad_norm": 0.495711192365763,
|
1092 |
+
"learning_rate": 1.5267081477050132e-06,
|
1093 |
+
"loss": 0.5805,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.3168316831683167,
|
1098 |
+
"grad_norm": 0.5019129834363211,
|
1099 |
+
"learning_rate": 1.4644660940672628e-06,
|
1100 |
+
"loss": 0.6805,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.3316831683168315,
|
1105 |
+
"grad_norm": 0.5924600811693187,
|
1106 |
+
"learning_rate": 1.4033009983067454e-06,
|
1107 |
+
"loss": 0.6958,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 2.3465346534653464,
|
1112 |
+
"grad_norm": 0.5679498872247285,
|
1113 |
+
"learning_rate": 1.3432314919041478e-06,
|
1114 |
+
"loss": 0.7157,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 2.3613861386138613,
|
1119 |
+
"grad_norm": 0.5378653771399984,
|
1120 |
+
"learning_rate": 1.2842758726130283e-06,
|
1121 |
+
"loss": 0.6421,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 2.376237623762376,
|
1126 |
+
"grad_norm": 0.5716411245552344,
|
1127 |
+
"learning_rate": 1.22645209888614e-06,
|
1128 |
+
"loss": 0.7546,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 2.391089108910891,
|
1133 |
+
"grad_norm": 0.5031816053120705,
|
1134 |
+
"learning_rate": 1.1697777844051105e-06,
|
1135 |
+
"loss": 0.7018,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.405940594059406,
|
1140 |
+
"grad_norm": 0.46660397121098096,
|
1141 |
+
"learning_rate": 1.1142701927151456e-06,
|
1142 |
+
"loss": 0.639,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 2.4207920792079207,
|
1147 |
+
"grad_norm": 0.5135926843254873,
|
1148 |
+
"learning_rate": 1.0599462319663906e-06,
|
1149 |
+
"loss": 0.7345,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 2.4356435643564356,
|
1154 |
+
"grad_norm": 0.5145225601719905,
|
1155 |
+
"learning_rate": 1.006822449763537e-06,
|
1156 |
+
"loss": 0.6413,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 2.4504950495049505,
|
1161 |
+
"grad_norm": 0.4781710026536871,
|
1162 |
+
"learning_rate": 9.549150281252633e-07,
|
1163 |
+
"loss": 0.6647,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 2.4653465346534653,
|
1168 |
+
"grad_norm": 0.48799619696609925,
|
1169 |
+
"learning_rate": 9.042397785550405e-07,
|
1170 |
+
"loss": 0.7179,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 2.48019801980198,
|
1175 |
+
"grad_norm": 0.488756423169197,
|
1176 |
+
"learning_rate": 8.54812137224792e-07,
|
1177 |
+
"loss": 0.6727,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.495049504950495,
|
1182 |
+
"grad_norm": 0.47225504186982886,
|
1183 |
+
"learning_rate": 8.066471602728804e-07,
|
1184 |
+
"loss": 0.7016,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 2.50990099009901,
|
1189 |
+
"grad_norm": 0.4884739098762309,
|
1190 |
+
"learning_rate": 7.597595192178702e-07,
|
1191 |
+
"loss": 0.7249,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 2.5247524752475248,
|
1196 |
+
"grad_norm": 0.470588495873427,
|
1197 |
+
"learning_rate": 7.141634964894389e-07,
|
1198 |
+
"loss": 0.6672,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 2.5396039603960396,
|
1203 |
+
"grad_norm": 0.4673487289438152,
|
1204 |
+
"learning_rate": 6.698729810778065e-07,
|
1205 |
+
"loss": 0.6774,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 2.5544554455445545,
|
1210 |
+
"grad_norm": 0.4635764685120432,
|
1211 |
+
"learning_rate": 6.269014643030214e-07,
|
1212 |
+
"loss": 0.679,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 2.5693069306930694,
|
1217 |
+
"grad_norm": 0.4956166674866954,
|
1218 |
+
"learning_rate": 5.852620357053651e-07,
|
1219 |
+
"loss": 0.6947,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.5841584158415842,
|
1224 |
+
"grad_norm": 0.4817833751685946,
|
1225 |
+
"learning_rate": 5.449673790581611e-07,
|
1226 |
+
"loss": 0.6292,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 2.599009900990099,
|
1231 |
+
"grad_norm": 0.5033414960012568,
|
1232 |
+
"learning_rate": 5.06029768504166e-07,
|
1233 |
+
"loss": 0.6521,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 2.613861386138614,
|
1238 |
+
"grad_norm": 0.4826152038387741,
|
1239 |
+
"learning_rate": 4.6846106481675035e-07,
|
1240 |
+
"loss": 0.6345,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 2.628712871287129,
|
1245 |
+
"grad_norm": 0.5148110561313826,
|
1246 |
+
"learning_rate": 4.322727117869951e-07,
|
1247 |
+
"loss": 0.7187,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 2.6435643564356437,
|
1252 |
+
"grad_norm": 0.520468554829645,
|
1253 |
+
"learning_rate": 3.9747573273779816e-07,
|
1254 |
+
"loss": 0.6922,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 2.6584158415841586,
|
1259 |
+
"grad_norm": 0.48040006877742775,
|
1260 |
+
"learning_rate": 3.6408072716606346e-07,
|
1261 |
+
"loss": 0.6394,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.6732673267326734,
|
1266 |
+
"grad_norm": 0.49771916703934643,
|
1267 |
+
"learning_rate": 3.320978675139919e-07,
|
1268 |
+
"loss": 0.6555,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 2.6881188118811883,
|
1273 |
+
"grad_norm": 0.4985224870159162,
|
1274 |
+
"learning_rate": 3.015368960704584e-07,
|
1275 |
+
"loss": 0.6621,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 2.7029702970297027,
|
1280 |
+
"grad_norm": 0.5032558199370275,
|
1281 |
+
"learning_rate": 2.724071220034158e-07,
|
1282 |
+
"loss": 0.7285,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 2.717821782178218,
|
1287 |
+
"grad_norm": 0.4881972665265835,
|
1288 |
+
"learning_rate": 2.447174185242324e-07,
|
1289 |
+
"loss": 0.6426,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 2.7326732673267324,
|
1294 |
+
"grad_norm": 0.4828031422366926,
|
1295 |
+
"learning_rate": 2.1847622018482283e-07,
|
1296 |
+
"loss": 0.6782,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 2.7475247524752477,
|
1301 |
+
"grad_norm": 0.47484851901453023,
|
1302 |
+
"learning_rate": 1.9369152030840553e-07,
|
1303 |
+
"loss": 0.6326,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.762376237623762,
|
1308 |
+
"grad_norm": 0.5311388807144789,
|
1309 |
+
"learning_rate": 1.7037086855465902e-07,
|
1310 |
+
"loss": 0.7419,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 2.7772277227722775,
|
1315 |
+
"grad_norm": 0.4614470612824122,
|
1316 |
+
"learning_rate": 1.4852136862001766e-07,
|
1317 |
+
"loss": 0.6123,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 2.792079207920792,
|
1322 |
+
"grad_norm": 0.48962299396889825,
|
1323 |
+
"learning_rate": 1.2814967607382433e-07,
|
1324 |
+
"loss": 0.7775,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 2.806930693069307,
|
1329 |
+
"grad_norm": 0.5121698180749854,
|
1330 |
+
"learning_rate": 1.0926199633097156e-07,
|
1331 |
+
"loss": 0.6253,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 2.8217821782178216,
|
1336 |
+
"grad_norm": 0.5454806153588347,
|
1337 |
+
"learning_rate": 9.186408276168012e-08,
|
1338 |
+
"loss": 0.6817,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 2.8366336633663365,
|
1343 |
+
"grad_norm": 0.47926294627215255,
|
1344 |
+
"learning_rate": 7.59612349389599e-08,
|
1345 |
+
"loss": 0.6702,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 2.8514851485148514,
|
1350 |
+
"grad_norm": 0.488962969794833,
|
1351 |
+
"learning_rate": 6.15582970243117e-08,
|
1352 |
+
"loss": 0.6687,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 2.866336633663366,
|
1357 |
+
"grad_norm": 0.5042360939591695,
|
1358 |
+
"learning_rate": 4.865965629214819e-08,
|
1359 |
+
"loss": 0.6828,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 2.881188118811881,
|
1364 |
+
"grad_norm": 0.4737639717650882,
|
1365 |
+
"learning_rate": 3.726924179339009e-08,
|
1366 |
+
"loss": 0.6109,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 2.896039603960396,
|
1371 |
+
"grad_norm": 0.5367048842660397,
|
1372 |
+
"learning_rate": 2.7390523158633552e-08,
|
1373 |
+
"loss": 0.6467,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 2.910891089108911,
|
1378 |
+
"grad_norm": 0.5043896642226987,
|
1379 |
+
"learning_rate": 1.9026509541272276e-08,
|
1380 |
+
"loss": 0.7169,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 2.9257425742574257,
|
1385 |
+
"grad_norm": 0.4791625292476249,
|
1386 |
+
"learning_rate": 1.2179748700879013e-08,
|
1387 |
+
"loss": 0.7351,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 2.9405940594059405,
|
1392 |
+
"grad_norm": 0.5102082840215327,
|
1393 |
+
"learning_rate": 6.852326227130835e-09,
|
1394 |
+
"loss": 0.6391,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 2.9554455445544554,
|
1399 |
+
"grad_norm": 0.4865097004583583,
|
1400 |
+
"learning_rate": 3.0458649045211897e-09,
|
1401 |
+
"loss": 0.6674,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 2.9702970297029703,
|
1406 |
+
"grad_norm": 0.5133741423875121,
|
1407 |
+
"learning_rate": 7.615242180436521e-10,
|
1408 |
+
"loss": 0.7427,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 2.985148514851485,
|
1413 |
+
"grad_norm": 0.4923182359179608,
|
1414 |
+
"learning_rate": 0.0,
|
1415 |
+
"loss": 0.595,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 2.985148514851485,
|
1420 |
+
"step": 201,
|
1421 |
+
"total_flos": 138721009057792.0,
|
1422 |
+
"train_loss": 0.7744821606583856,
|
1423 |
+
"train_runtime": 2765.7022,
|
1424 |
+
"train_samples_per_second": 6.994,
|
1425 |
+
"train_steps_per_second": 0.073
|
1426 |
+
}
|
1427 |
+
],
|
1428 |
+
"logging_steps": 1,
|
1429 |
+
"max_steps": 201,
|
1430 |
+
"num_input_tokens_seen": 0,
|
1431 |
+
"num_train_epochs": 3,
|
1432 |
+
"save_steps": 500,
|
1433 |
+
"stateful_callbacks": {
|
1434 |
+
"TrainerControl": {
|
1435 |
+
"args": {
|
1436 |
+
"should_epoch_stop": false,
|
1437 |
+
"should_evaluate": false,
|
1438 |
+
"should_log": false,
|
1439 |
+
"should_save": true,
|
1440 |
+
"should_training_stop": true
|
1441 |
+
},
|
1442 |
+
"attributes": {}
|
1443 |
+
}
|
1444 |
+
},
|
1445 |
+
"total_flos": 138721009057792.0,
|
1446 |
+
"train_batch_size": 1,
|
1447 |
+
"trial_name": null,
|
1448 |
+
"trial_params": null
|
1449 |
+
}
|
training_loss.png
ADDED
![]() |