Rakancorle1
commited on
Commit
•
ef4cb37
1
Parent(s):
642eb33
End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1351 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
|
|
4 |
base_model: meta-llama/Llama-Guard-3-8B
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: laaj_5k_3epochs_all_Scode
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# laaj_5k_3epochs_all_Scode
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Llama-Guard-3-8B](https://huggingface.co/meta-llama/Llama-Guard-3-8B) on
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
4 |
base_model: meta-llama/Llama-Guard-3-8B
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- lora
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: laaj_5k_3epochs_all_Scode
|
|
|
16 |
|
17 |
# laaj_5k_3epochs_all_Scode
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Llama-Guard-3-8B](https://huggingface.co/meta-llama/Llama-Guard-3-8B) on the laaj_5k_allbatch_Scode dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 299543991877632.0,
|
4 |
+
"train_loss": 0.3980048195521037,
|
5 |
+
"train_runtime": 15877.4798,
|
6 |
+
"train_samples_per_second": 0.945,
|
7 |
+
"train_steps_per_second": 0.118
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 299543991877632.0,
|
4 |
+
"train_loss": 0.3980048195521037,
|
5 |
+
"train_runtime": 15877.4798,
|
6 |
+
"train_samples_per_second": 0.945,
|
7 |
+
"train_steps_per_second": 0.118
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1351 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1875,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.016,
|
13 |
+
"grad_norm": 1.5132097727696663,
|
14 |
+
"learning_rate": 9.999298177883903e-05,
|
15 |
+
"loss": 1.6713,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.032,
|
20 |
+
"grad_norm": 1.0288849642854194,
|
21 |
+
"learning_rate": 9.997192908557323e-05,
|
22 |
+
"loss": 0.9562,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.048,
|
27 |
+
"grad_norm": 2.628046163977058,
|
28 |
+
"learning_rate": 9.993684783030088e-05,
|
29 |
+
"loss": 0.7998,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.064,
|
34 |
+
"grad_norm": 1.0977335920429718,
|
35 |
+
"learning_rate": 9.988774786134234e-05,
|
36 |
+
"loss": 0.7019,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.08,
|
41 |
+
"grad_norm": 1.143511217142594,
|
42 |
+
"learning_rate": 9.982464296247522e-05,
|
43 |
+
"loss": 0.6965,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.096,
|
48 |
+
"grad_norm": 1.1886880844299708,
|
49 |
+
"learning_rate": 9.974755084906502e-05,
|
50 |
+
"loss": 0.6417,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.112,
|
55 |
+
"grad_norm": 1.3088809099781331,
|
56 |
+
"learning_rate": 9.965649316309178e-05,
|
57 |
+
"loss": 0.6388,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.128,
|
62 |
+
"grad_norm": 2.0299623866899035,
|
63 |
+
"learning_rate": 9.955149546707465e-05,
|
64 |
+
"loss": 0.6665,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.144,
|
69 |
+
"grad_norm": 1.5251129511711958,
|
70 |
+
"learning_rate": 9.94325872368957e-05,
|
71 |
+
"loss": 0.6014,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.16,
|
76 |
+
"grad_norm": 1.307242452061001,
|
77 |
+
"learning_rate": 9.929980185352526e-05,
|
78 |
+
"loss": 0.5971,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.176,
|
83 |
+
"grad_norm": 1.0674735946460283,
|
84 |
+
"learning_rate": 9.915317659365077e-05,
|
85 |
+
"loss": 0.6206,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.192,
|
90 |
+
"grad_norm": 1.3671834842056045,
|
91 |
+
"learning_rate": 9.899275261921234e-05,
|
92 |
+
"loss": 0.5597,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.208,
|
97 |
+
"grad_norm": 1.3041158193336297,
|
98 |
+
"learning_rate": 9.881857496584726e-05,
|
99 |
+
"loss": 0.5774,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.224,
|
104 |
+
"grad_norm": 1.2739151782924372,
|
105 |
+
"learning_rate": 9.863069253024719e-05,
|
106 |
+
"loss": 0.5656,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.24,
|
111 |
+
"grad_norm": 1.1009566652519438,
|
112 |
+
"learning_rate": 9.842915805643155e-05,
|
113 |
+
"loss": 0.5724,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.256,
|
118 |
+
"grad_norm": 1.2004741768824123,
|
119 |
+
"learning_rate": 9.821402812094073e-05,
|
120 |
+
"loss": 0.5796,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.272,
|
125 |
+
"grad_norm": 1.5111413381395908,
|
126 |
+
"learning_rate": 9.798536311695334e-05,
|
127 |
+
"loss": 0.5556,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.288,
|
132 |
+
"grad_norm": 1.0331976579035735,
|
133 |
+
"learning_rate": 9.774322723733216e-05,
|
134 |
+
"loss": 0.5451,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.304,
|
139 |
+
"grad_norm": 1.1745428366022237,
|
140 |
+
"learning_rate": 9.748768845660334e-05,
|
141 |
+
"loss": 0.5605,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.32,
|
146 |
+
"grad_norm": 1.067749681555933,
|
147 |
+
"learning_rate": 9.721881851187406e-05,
|
148 |
+
"loss": 0.5644,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.336,
|
153 |
+
"grad_norm": 1.1773627454789788,
|
154 |
+
"learning_rate": 9.693669288269372e-05,
|
155 |
+
"loss": 0.5658,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.352,
|
160 |
+
"grad_norm": 1.4049555802409854,
|
161 |
+
"learning_rate": 9.664139076986473e-05,
|
162 |
+
"loss": 0.5483,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.368,
|
167 |
+
"grad_norm": 1.436137944296166,
|
168 |
+
"learning_rate": 9.63329950732086e-05,
|
169 |
+
"loss": 0.5376,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.384,
|
174 |
+
"grad_norm": 1.2686595633739197,
|
175 |
+
"learning_rate": 9.601159236829352e-05,
|
176 |
+
"loss": 0.5402,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4,
|
181 |
+
"grad_norm": 1.4062419829256017,
|
182 |
+
"learning_rate": 9.567727288213005e-05,
|
183 |
+
"loss": 0.5552,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.416,
|
188 |
+
"grad_norm": 0.9610102580305002,
|
189 |
+
"learning_rate": 9.533013046784189e-05,
|
190 |
+
"loss": 0.5118,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.432,
|
195 |
+
"grad_norm": 1.2008075396073077,
|
196 |
+
"learning_rate": 9.497026257831855e-05,
|
197 |
+
"loss": 0.5479,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.448,
|
202 |
+
"grad_norm": 1.116478910009909,
|
203 |
+
"learning_rate": 9.459777023885755e-05,
|
204 |
+
"loss": 0.4773,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.464,
|
209 |
+
"grad_norm": 1.2287813088079407,
|
210 |
+
"learning_rate": 9.421275801880362e-05,
|
211 |
+
"loss": 0.5149,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.48,
|
216 |
+
"grad_norm": 1.3153026196754682,
|
217 |
+
"learning_rate": 9.381533400219318e-05,
|
218 |
+
"loss": 0.5209,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.496,
|
223 |
+
"grad_norm": 1.6158648577050707,
|
224 |
+
"learning_rate": 9.340560975741197e-05,
|
225 |
+
"loss": 0.5065,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.512,
|
230 |
+
"grad_norm": 1.1601862022387133,
|
231 |
+
"learning_rate": 9.298370030587456e-05,
|
232 |
+
"loss": 0.515,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.528,
|
237 |
+
"grad_norm": 1.2591523341167126,
|
238 |
+
"learning_rate": 9.254972408973461e-05,
|
239 |
+
"loss": 0.5375,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.544,
|
244 |
+
"grad_norm": 1.0361296810068354,
|
245 |
+
"learning_rate": 9.210380293863462e-05,
|
246 |
+
"loss": 0.5085,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.56,
|
251 |
+
"grad_norm": 1.0654093627590127,
|
252 |
+
"learning_rate": 9.164606203550497e-05,
|
253 |
+
"loss": 0.5137,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.576,
|
258 |
+
"grad_norm": 1.2697508248750302,
|
259 |
+
"learning_rate": 9.117662988142138e-05,
|
260 |
+
"loss": 0.4906,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.592,
|
265 |
+
"grad_norm": 1.2602467399423862,
|
266 |
+
"learning_rate": 9.069563825953092e-05,
|
267 |
+
"loss": 0.4966,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.608,
|
272 |
+
"grad_norm": 2.0044411177134918,
|
273 |
+
"learning_rate": 9.020322219805674e-05,
|
274 |
+
"loss": 0.5063,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.624,
|
279 |
+
"grad_norm": 1.148187026295081,
|
280 |
+
"learning_rate": 8.969951993239177e-05,
|
281 |
+
"loss": 0.4864,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.64,
|
286 |
+
"grad_norm": 1.0529856886801567,
|
287 |
+
"learning_rate": 8.9184672866292e-05,
|
288 |
+
"loss": 0.4632,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.656,
|
293 |
+
"grad_norm": 1.1830984654167522,
|
294 |
+
"learning_rate": 8.865882553218037e-05,
|
295 |
+
"loss": 0.5097,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.672,
|
300 |
+
"grad_norm": 1.1495869848318996,
|
301 |
+
"learning_rate": 8.81221255505724e-05,
|
302 |
+
"loss": 0.4795,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.688,
|
307 |
+
"grad_norm": 1.1235900402260404,
|
308 |
+
"learning_rate": 8.757472358863481e-05,
|
309 |
+
"loss": 0.5006,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.704,
|
314 |
+
"grad_norm": 1.2883600054948787,
|
315 |
+
"learning_rate": 8.701677331788891e-05,
|
316 |
+
"loss": 0.4822,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.72,
|
321 |
+
"grad_norm": 1.0725324329031838,
|
322 |
+
"learning_rate": 8.644843137107059e-05,
|
323 |
+
"loss": 0.4856,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.736,
|
328 |
+
"grad_norm": 2.9167440508075955,
|
329 |
+
"learning_rate": 8.586985729815894e-05,
|
330 |
+
"loss": 0.4648,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.752,
|
335 |
+
"grad_norm": 0.9522185207229502,
|
336 |
+
"learning_rate": 8.528121352158604e-05,
|
337 |
+
"loss": 0.488,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.768,
|
342 |
+
"grad_norm": 1.5907707346034905,
|
343 |
+
"learning_rate": 8.468266529064025e-05,
|
344 |
+
"loss": 0.5039,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.784,
|
349 |
+
"grad_norm": 1.1370580239916313,
|
350 |
+
"learning_rate": 8.4074380635076e-05,
|
351 |
+
"loss": 0.4737,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.8,
|
356 |
+
"grad_norm": 0.9782419363730104,
|
357 |
+
"learning_rate": 8.345653031794292e-05,
|
358 |
+
"loss": 0.5296,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.816,
|
363 |
+
"grad_norm": 1.1919631254125505,
|
364 |
+
"learning_rate": 8.282928778764783e-05,
|
365 |
+
"loss": 0.4688,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.832,
|
370 |
+
"grad_norm": 1.2994447479210165,
|
371 |
+
"learning_rate": 8.21928291292627e-05,
|
372 |
+
"loss": 0.4675,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.848,
|
377 |
+
"grad_norm": 0.9689627531529147,
|
378 |
+
"learning_rate": 8.154733301509248e-05,
|
379 |
+
"loss": 0.4408,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.864,
|
384 |
+
"grad_norm": 1.1649720718750445,
|
385 |
+
"learning_rate": 8.089298065451672e-05,
|
386 |
+
"loss": 0.4608,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.88,
|
391 |
+
"grad_norm": 1.3438713492048824,
|
392 |
+
"learning_rate": 8.022995574311876e-05,
|
393 |
+
"loss": 0.4476,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.896,
|
398 |
+
"grad_norm": 1.0737706296113363,
|
399 |
+
"learning_rate": 7.95584444111171e-05,
|
400 |
+
"loss": 0.5027,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.912,
|
405 |
+
"grad_norm": 1.3469637742497171,
|
406 |
+
"learning_rate": 7.887863517111338e-05,
|
407 |
+
"loss": 0.4929,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.928,
|
412 |
+
"grad_norm": 1.1251117260635928,
|
413 |
+
"learning_rate": 7.819071886517134e-05,
|
414 |
+
"loss": 0.4739,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.944,
|
419 |
+
"grad_norm": 1.0579726403654415,
|
420 |
+
"learning_rate": 7.7494888611242e-05,
|
421 |
+
"loss": 0.4529,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.96,
|
426 |
+
"grad_norm": 1.0498899044694738,
|
427 |
+
"learning_rate": 7.679133974894983e-05,
|
428 |
+
"loss": 0.4619,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.976,
|
433 |
+
"grad_norm": 1.2353618604203835,
|
434 |
+
"learning_rate": 7.60802697847554e-05,
|
435 |
+
"loss": 0.462,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.992,
|
440 |
+
"grad_norm": 1.4618575476184537,
|
441 |
+
"learning_rate": 7.536187833650947e-05,
|
442 |
+
"loss": 0.4478,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.008,
|
447 |
+
"grad_norm": 0.9313196650505406,
|
448 |
+
"learning_rate": 7.463636707741458e-05,
|
449 |
+
"loss": 0.4304,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.024,
|
454 |
+
"grad_norm": 1.1239041555920188,
|
455 |
+
"learning_rate": 7.390393967940962e-05,
|
456 |
+
"loss": 0.4138,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.04,
|
461 |
+
"grad_norm": 1.8736342455754906,
|
462 |
+
"learning_rate": 7.316480175599309e-05,
|
463 |
+
"loss": 0.3909,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.056,
|
468 |
+
"grad_norm": 1.3075877434881118,
|
469 |
+
"learning_rate": 7.241916080450163e-05,
|
470 |
+
"loss": 0.3873,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.072,
|
475 |
+
"grad_norm": 1.1366815390360774,
|
476 |
+
"learning_rate": 7.166722614785937e-05,
|
477 |
+
"loss": 0.3744,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.088,
|
482 |
+
"grad_norm": 1.1482160099998533,
|
483 |
+
"learning_rate": 7.090920887581506e-05,
|
484 |
+
"loss": 0.3641,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.104,
|
489 |
+
"grad_norm": 1.4903122013208903,
|
490 |
+
"learning_rate": 7.014532178568314e-05,
|
491 |
+
"loss": 0.3708,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.12,
|
496 |
+
"grad_norm": 1.2283466862099195,
|
497 |
+
"learning_rate": 6.937577932260515e-05,
|
498 |
+
"loss": 0.4147,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.1360000000000001,
|
503 |
+
"grad_norm": 1.044360506141548,
|
504 |
+
"learning_rate": 6.860079751934908e-05,
|
505 |
+
"loss": 0.3698,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.152,
|
510 |
+
"grad_norm": 1.9659986049038847,
|
511 |
+
"learning_rate": 6.782059393566253e-05,
|
512 |
+
"loss": 0.3768,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.168,
|
517 |
+
"grad_norm": 1.1559700548705432,
|
518 |
+
"learning_rate": 6.70353875971976e-05,
|
519 |
+
"loss": 0.3713,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.184,
|
524 |
+
"grad_norm": 1.3638599004402776,
|
525 |
+
"learning_rate": 6.624539893402382e-05,
|
526 |
+
"loss": 0.376,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.2,
|
531 |
+
"grad_norm": 1.2823520816693201,
|
532 |
+
"learning_rate": 6.545084971874738e-05,
|
533 |
+
"loss": 0.3762,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.216,
|
538 |
+
"grad_norm": 1.1889832443284072,
|
539 |
+
"learning_rate": 6.465196300425287e-05,
|
540 |
+
"loss": 0.3891,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.232,
|
545 |
+
"grad_norm": 1.128194765929284,
|
546 |
+
"learning_rate": 6.384896306108612e-05,
|
547 |
+
"loss": 0.3772,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.248,
|
552 |
+
"grad_norm": 1.4491197750693638,
|
553 |
+
"learning_rate": 6.304207531449486e-05,
|
554 |
+
"loss": 0.3678,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.264,
|
559 |
+
"grad_norm": 1.5686675701147237,
|
560 |
+
"learning_rate": 6.223152628114537e-05,
|
561 |
+
"loss": 0.3648,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.28,
|
566 |
+
"grad_norm": 1.0902715474500886,
|
567 |
+
"learning_rate": 6.141754350553279e-05,
|
568 |
+
"loss": 0.3909,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.296,
|
573 |
+
"grad_norm": 1.6337999430835446,
|
574 |
+
"learning_rate": 6.0600355496102745e-05,
|
575 |
+
"loss": 0.383,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.312,
|
580 |
+
"grad_norm": 1.321659745725057,
|
581 |
+
"learning_rate": 5.9780191661102415e-05,
|
582 |
+
"loss": 0.3802,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.328,
|
587 |
+
"grad_norm": 1.6867441595334431,
|
588 |
+
"learning_rate": 5.8957282244179124e-05,
|
589 |
+
"loss": 0.423,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.3439999999999999,
|
594 |
+
"grad_norm": 1.2441664958096805,
|
595 |
+
"learning_rate": 5.813185825974419e-05,
|
596 |
+
"loss": 0.3641,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.3599999999999999,
|
601 |
+
"grad_norm": 1.6422801866133996,
|
602 |
+
"learning_rate": 5.730415142812059e-05,
|
603 |
+
"loss": 0.3519,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.376,
|
608 |
+
"grad_norm": 1.7154734289625684,
|
609 |
+
"learning_rate": 5.6474394110492344e-05,
|
610 |
+
"loss": 0.3732,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.392,
|
615 |
+
"grad_norm": 1.3529634625288804,
|
616 |
+
"learning_rate": 5.564281924367408e-05,
|
617 |
+
"loss": 0.3954,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.408,
|
622 |
+
"grad_norm": 1.4693831158149995,
|
623 |
+
"learning_rate": 5.480966027471889e-05,
|
624 |
+
"loss": 0.3669,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.424,
|
629 |
+
"grad_norm": 1.5051265025599196,
|
630 |
+
"learning_rate": 5.3975151095382995e-05,
|
631 |
+
"loss": 0.3994,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.44,
|
636 |
+
"grad_norm": 1.2893604881333178,
|
637 |
+
"learning_rate": 5.313952597646568e-05,
|
638 |
+
"loss": 0.3904,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.456,
|
643 |
+
"grad_norm": 1.5665270237662434,
|
644 |
+
"learning_rate": 5.230301950204262e-05,
|
645 |
+
"loss": 0.3821,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.472,
|
650 |
+
"grad_norm": 1.1847281856196625,
|
651 |
+
"learning_rate": 5.1465866503611426e-05,
|
652 |
+
"loss": 0.3713,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.488,
|
657 |
+
"grad_norm": 1.6027343131881702,
|
658 |
+
"learning_rate": 5.062830199416764e-05,
|
659 |
+
"loss": 0.3785,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.504,
|
664 |
+
"grad_norm": 1.1745245908384976,
|
665 |
+
"learning_rate": 4.979056110222981e-05,
|
666 |
+
"loss": 0.3851,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.52,
|
671 |
+
"grad_norm": 1.2252730329400867,
|
672 |
+
"learning_rate": 4.895287900583216e-05,
|
673 |
+
"loss": 0.3991,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.536,
|
678 |
+
"grad_norm": 1.9189789923421308,
|
679 |
+
"learning_rate": 4.811549086650327e-05,
|
680 |
+
"loss": 0.3726,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.552,
|
685 |
+
"grad_norm": 1.9319344659060065,
|
686 |
+
"learning_rate": 4.7278631763249554e-05,
|
687 |
+
"loss": 0.3703,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.568,
|
692 |
+
"grad_norm": 1.3155775136973578,
|
693 |
+
"learning_rate": 4.6442536626561675e-05,
|
694 |
+
"loss": 0.3462,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.584,
|
699 |
+
"grad_norm": 1.3059644425743502,
|
700 |
+
"learning_rate": 4.560744017246284e-05,
|
701 |
+
"loss": 0.3486,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.6,
|
706 |
+
"grad_norm": 1.1918137712202796,
|
707 |
+
"learning_rate": 4.477357683661734e-05,
|
708 |
+
"loss": 0.3384,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.616,
|
713 |
+
"grad_norm": 1.3051153832513638,
|
714 |
+
"learning_rate": 4.394118070851749e-05,
|
715 |
+
"loss": 0.3976,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.6320000000000001,
|
720 |
+
"grad_norm": 2.1135344091319266,
|
721 |
+
"learning_rate": 4.31104854657681e-05,
|
722 |
+
"loss": 0.3607,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.6480000000000001,
|
727 |
+
"grad_norm": 1.3948892979651148,
|
728 |
+
"learning_rate": 4.228172430848644e-05,
|
729 |
+
"loss": 0.371,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.6640000000000001,
|
734 |
+
"grad_norm": 1.3934093132103698,
|
735 |
+
"learning_rate": 4.1455129893836174e-05,
|
736 |
+
"loss": 0.3627,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.6800000000000002,
|
741 |
+
"grad_norm": 2.099040035068272,
|
742 |
+
"learning_rate": 4.063093427071376e-05,
|
743 |
+
"loss": 0.3725,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.696,
|
748 |
+
"grad_norm": 1.1171081747364493,
|
749 |
+
"learning_rate": 3.9809368814605766e-05,
|
750 |
+
"loss": 0.3466,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.712,
|
755 |
+
"grad_norm": 1.2557303206572503,
|
756 |
+
"learning_rate": 3.899066416263493e-05,
|
757 |
+
"loss": 0.3629,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.728,
|
762 |
+
"grad_norm": 1.2612524984380895,
|
763 |
+
"learning_rate": 3.817505014881378e-05,
|
764 |
+
"loss": 0.3941,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.744,
|
769 |
+
"grad_norm": 1.4536732919602855,
|
770 |
+
"learning_rate": 3.736275573952354e-05,
|
771 |
+
"loss": 0.3362,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.76,
|
776 |
+
"grad_norm": 1.5347325608557592,
|
777 |
+
"learning_rate": 3.655400896923672e-05,
|
778 |
+
"loss": 0.3197,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.776,
|
783 |
+
"grad_norm": 1.5306810075691544,
|
784 |
+
"learning_rate": 3.5749036876501194e-05,
|
785 |
+
"loss": 0.3447,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.792,
|
790 |
+
"grad_norm": 1.2300188758500825,
|
791 |
+
"learning_rate": 3.494806544020398e-05,
|
792 |
+
"loss": 0.3535,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.808,
|
797 |
+
"grad_norm": 1.4275688891160825,
|
798 |
+
"learning_rate": 3.4151319516132416e-05,
|
799 |
+
"loss": 0.3447,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.8239999999999998,
|
804 |
+
"grad_norm": 1.397634927032295,
|
805 |
+
"learning_rate": 3.335902277385067e-05,
|
806 |
+
"loss": 0.338,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.8399999999999999,
|
811 |
+
"grad_norm": 1.8570000554042922,
|
812 |
+
"learning_rate": 3.257139763390925e-05,
|
813 |
+
"loss": 0.3915,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.8559999999999999,
|
818 |
+
"grad_norm": 1.0694824076607796,
|
819 |
+
"learning_rate": 3.178866520540509e-05,
|
820 |
+
"loss": 0.332,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.8719999999999999,
|
825 |
+
"grad_norm": 1.9227266591369816,
|
826 |
+
"learning_rate": 3.101104522390995e-05,
|
827 |
+
"loss": 0.3734,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.888,
|
832 |
+
"grad_norm": 1.4206748536497713,
|
833 |
+
"learning_rate": 3.023875598978419e-05,
|
834 |
+
"loss": 0.3409,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.904,
|
839 |
+
"grad_norm": 1.4359353896901201,
|
840 |
+
"learning_rate": 2.9472014306893603e-05,
|
841 |
+
"loss": 0.3333,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.92,
|
846 |
+
"grad_norm": 1.2517700720828175,
|
847 |
+
"learning_rate": 2.8711035421746367e-05,
|
848 |
+
"loss": 0.369,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.936,
|
853 |
+
"grad_norm": 1.3801398040671706,
|
854 |
+
"learning_rate": 2.795603296306708e-05,
|
855 |
+
"loss": 0.3449,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.952,
|
860 |
+
"grad_norm": 1.8786886188992349,
|
861 |
+
"learning_rate": 2.7207218881825014e-05,
|
862 |
+
"loss": 0.3662,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.968,
|
867 |
+
"grad_norm": 1.2874259666120602,
|
868 |
+
"learning_rate": 2.6464803391733374e-05,
|
869 |
+
"loss": 0.3773,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.984,
|
874 |
+
"grad_norm": 1.1788438157215508,
|
875 |
+
"learning_rate": 2.5728994910236304e-05,
|
876 |
+
"loss": 0.3245,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 2.0,
|
881 |
+
"grad_norm": 1.5631045640027712,
|
882 |
+
"learning_rate": 2.500000000000001e-05,
|
883 |
+
"loss": 0.3412,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.016,
|
888 |
+
"grad_norm": 1.4435057320180134,
|
889 |
+
"learning_rate": 2.4278023310924673e-05,
|
890 |
+
"loss": 0.3027,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.032,
|
895 |
+
"grad_norm": 1.690073924846414,
|
896 |
+
"learning_rate": 2.3563267522693415e-05,
|
897 |
+
"loss": 0.2745,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.048,
|
902 |
+
"grad_norm": 1.571802508559373,
|
903 |
+
"learning_rate": 2.2855933287874138e-05,
|
904 |
+
"loss": 0.2686,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.064,
|
909 |
+
"grad_norm": 1.2829706151133036,
|
910 |
+
"learning_rate": 2.215621917559062e-05,
|
911 |
+
"loss": 0.2628,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.08,
|
916 |
+
"grad_norm": 1.5440500775973827,
|
917 |
+
"learning_rate": 2.1464321615778422e-05,
|
918 |
+
"loss": 0.274,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.096,
|
923 |
+
"grad_norm": 2.0539984960007627,
|
924 |
+
"learning_rate": 2.07804348440414e-05,
|
925 |
+
"loss": 0.2711,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.112,
|
930 |
+
"grad_norm": 1.6138729128750948,
|
931 |
+
"learning_rate": 2.0104750847124075e-05,
|
932 |
+
"loss": 0.2662,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.128,
|
937 |
+
"grad_norm": 1.4560623181879653,
|
938 |
+
"learning_rate": 1.9437459309015427e-05,
|
939 |
+
"loss": 0.2722,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.144,
|
944 |
+
"grad_norm": 1.4659611175991962,
|
945 |
+
"learning_rate": 1.8778747557699224e-05,
|
946 |
+
"loss": 0.2965,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.16,
|
951 |
+
"grad_norm": 1.375382006257737,
|
952 |
+
"learning_rate": 1.8128800512565513e-05,
|
953 |
+
"loss": 0.2789,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.176,
|
958 |
+
"grad_norm": 1.599179489252925,
|
959 |
+
"learning_rate": 1.7487800632498545e-05,
|
960 |
+
"loss": 0.2727,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.192,
|
965 |
+
"grad_norm": 1.517535594054785,
|
966 |
+
"learning_rate": 1.685592786465524e-05,
|
967 |
+
"loss": 0.2579,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.208,
|
972 |
+
"grad_norm": 2.1592276480492414,
|
973 |
+
"learning_rate": 1.6233359593948777e-05,
|
974 |
+
"loss": 0.2639,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.224,
|
979 |
+
"grad_norm": 1.7544518130502498,
|
980 |
+
"learning_rate": 1.5620270593251635e-05,
|
981 |
+
"loss": 0.2909,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.24,
|
986 |
+
"grad_norm": 1.44885168688834,
|
987 |
+
"learning_rate": 1.5016832974331724e-05,
|
988 |
+
"loss": 0.2675,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.2560000000000002,
|
993 |
+
"grad_norm": 1.6827124662772142,
|
994 |
+
"learning_rate": 1.4423216139535734e-05,
|
995 |
+
"loss": 0.2501,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.2720000000000002,
|
1000 |
+
"grad_norm": 1.8488651881141411,
|
1001 |
+
"learning_rate": 1.3839586734232906e-05,
|
1002 |
+
"loss": 0.28,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.288,
|
1007 |
+
"grad_norm": 1.8044696205561654,
|
1008 |
+
"learning_rate": 1.3266108600032929e-05,
|
1009 |
+
"loss": 0.2946,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.304,
|
1014 |
+
"grad_norm": 1.5680732030217428,
|
1015 |
+
"learning_rate": 1.2702942728790895e-05,
|
1016 |
+
"loss": 0.2801,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.32,
|
1021 |
+
"grad_norm": 1.8180785380951152,
|
1022 |
+
"learning_rate": 1.2150247217412186e-05,
|
1023 |
+
"loss": 0.2686,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.336,
|
1028 |
+
"grad_norm": 1.4756615703317884,
|
1029 |
+
"learning_rate": 1.160817722347014e-05,
|
1030 |
+
"loss": 0.2623,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.352,
|
1035 |
+
"grad_norm": 1.4951599689749675,
|
1036 |
+
"learning_rate": 1.1076884921648834e-05,
|
1037 |
+
"loss": 0.2865,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.368,
|
1042 |
+
"grad_norm": 1.8073936077115729,
|
1043 |
+
"learning_rate": 1.0556519461023301e-05,
|
1044 |
+
"loss": 0.2677,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.384,
|
1049 |
+
"grad_norm": 1.6787640384880986,
|
1050 |
+
"learning_rate": 1.0047226923189024e-05,
|
1051 |
+
"loss": 0.2821,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.4,
|
1056 |
+
"grad_norm": 1.7736081937737844,
|
1057 |
+
"learning_rate": 9.549150281252633e-06,
|
1058 |
+
"loss": 0.2628,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.416,
|
1063 |
+
"grad_norm": 1.8163690827077064,
|
1064 |
+
"learning_rate": 9.06242935969528e-06,
|
1065 |
+
"loss": 0.2648,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.432,
|
1070 |
+
"grad_norm": 1.914925459991879,
|
1071 |
+
"learning_rate": 8.587200795119793e-06,
|
1072 |
+
"loss": 0.2718,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.448,
|
1077 |
+
"grad_norm": 1.557572030989793,
|
1078 |
+
"learning_rate": 8.123597997892918e-06,
|
1079 |
+
"loss": 0.2779,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.464,
|
1084 |
+
"grad_norm": 2.4189475486471412,
|
1085 |
+
"learning_rate": 7.671751114693104e-06,
|
1086 |
+
"loss": 0.2522,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 2.48,
|
1091 |
+
"grad_norm": 1.5979978703748492,
|
1092 |
+
"learning_rate": 7.2317869919746705e-06,
|
1093 |
+
"loss": 0.2668,
|
1094 |
+
"step": 1550
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.496,
|
1098 |
+
"grad_norm": 1.5867221943137244,
|
1099 |
+
"learning_rate": 6.803829140358237e-06,
|
1100 |
+
"loss": 0.2582,
|
1101 |
+
"step": 1560
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.512,
|
1105 |
+
"grad_norm": 2.0088219455242866,
|
1106 |
+
"learning_rate": 6.3879976999578154e-06,
|
1107 |
+
"loss": 0.2509,
|
1108 |
+
"step": 1570
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 2.528,
|
1112 |
+
"grad_norm": 1.7960925687722837,
|
1113 |
+
"learning_rate": 5.98440940665399e-06,
|
1114 |
+
"loss": 0.2743,
|
1115 |
+
"step": 1580
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 2.544,
|
1119 |
+
"grad_norm": 1.5572986827037758,
|
1120 |
+
"learning_rate": 5.593177559322777e-06,
|
1121 |
+
"loss": 0.2833,
|
1122 |
+
"step": 1590
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 2.56,
|
1126 |
+
"grad_norm": 1.370850993490327,
|
1127 |
+
"learning_rate": 5.214411988029355e-06,
|
1128 |
+
"loss": 0.2693,
|
1129 |
+
"step": 1600
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 2.576,
|
1133 |
+
"grad_norm": 1.3820976570272918,
|
1134 |
+
"learning_rate": 4.848219023195644e-06,
|
1135 |
+
"loss": 0.2607,
|
1136 |
+
"step": 1610
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.592,
|
1140 |
+
"grad_norm": 1.7956675550522907,
|
1141 |
+
"learning_rate": 4.494701465750217e-06,
|
1142 |
+
"loss": 0.2632,
|
1143 |
+
"step": 1620
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 2.608,
|
1147 |
+
"grad_norm": 1.657852197945445,
|
1148 |
+
"learning_rate": 4.153958558269189e-06,
|
1149 |
+
"loss": 0.2573,
|
1150 |
+
"step": 1630
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 2.624,
|
1154 |
+
"grad_norm": 1.6754996668537725,
|
1155 |
+
"learning_rate": 3.826085957115888e-06,
|
1156 |
+
"loss": 0.2411,
|
1157 |
+
"step": 1640
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 2.64,
|
1161 |
+
"grad_norm": 1.3160903872279537,
|
1162 |
+
"learning_rate": 3.511175705587433e-06,
|
1163 |
+
"loss": 0.2601,
|
1164 |
+
"step": 1650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 2.656,
|
1168 |
+
"grad_norm": 1.4417765456611342,
|
1169 |
+
"learning_rate": 3.2093162080754637e-06,
|
1170 |
+
"loss": 0.2832,
|
1171 |
+
"step": 1660
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 2.672,
|
1175 |
+
"grad_norm": 1.5418721821515773,
|
1176 |
+
"learning_rate": 2.9205922052484958e-06,
|
1177 |
+
"loss": 0.2725,
|
1178 |
+
"step": 1670
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.6879999999999997,
|
1182 |
+
"grad_norm": 1.3747599439593585,
|
1183 |
+
"learning_rate": 2.6450847502627884e-06,
|
1184 |
+
"loss": 0.2654,
|
1185 |
+
"step": 1680
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 2.7039999999999997,
|
1189 |
+
"grad_norm": 1.528133223907777,
|
1190 |
+
"learning_rate": 2.3828711860083674e-06,
|
1191 |
+
"loss": 0.2784,
|
1192 |
+
"step": 1690
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 2.7199999999999998,
|
1196 |
+
"grad_norm": 2.3538184370373534,
|
1197 |
+
"learning_rate": 2.134025123396638e-06,
|
1198 |
+
"loss": 0.2758,
|
1199 |
+
"step": 1700
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 2.7359999999999998,
|
1203 |
+
"grad_norm": 1.6198355766213741,
|
1204 |
+
"learning_rate": 1.8986164206957035e-06,
|
1205 |
+
"loss": 0.2533,
|
1206 |
+
"step": 1710
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 2.752,
|
1210 |
+
"grad_norm": 1.8976100233670337,
|
1211 |
+
"learning_rate": 1.6767111639191202e-06,
|
1212 |
+
"loss": 0.268,
|
1213 |
+
"step": 1720
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 2.768,
|
1217 |
+
"grad_norm": 1.7822120577723535,
|
1218 |
+
"learning_rate": 1.4683716482736366e-06,
|
1219 |
+
"loss": 0.28,
|
1220 |
+
"step": 1730
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.784,
|
1224 |
+
"grad_norm": 2.2850018497482183,
|
1225 |
+
"learning_rate": 1.2736563606711382e-06,
|
1226 |
+
"loss": 0.2797,
|
1227 |
+
"step": 1740
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 2.8,
|
1231 |
+
"grad_norm": 1.79121827664844,
|
1232 |
+
"learning_rate": 1.0926199633097157e-06,
|
1233 |
+
"loss": 0.2831,
|
1234 |
+
"step": 1750
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 2.816,
|
1238 |
+
"grad_norm": 1.7925072153699964,
|
1239 |
+
"learning_rate": 9.253132783283547e-07,
|
1240 |
+
"loss": 0.2558,
|
1241 |
+
"step": 1760
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 2.832,
|
1245 |
+
"grad_norm": 1.2894709082534288,
|
1246 |
+
"learning_rate": 7.717832735397335e-07,
|
1247 |
+
"loss": 0.2635,
|
1248 |
+
"step": 1770
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 2.848,
|
1252 |
+
"grad_norm": 1.4531115959909715,
|
1253 |
+
"learning_rate": 6.3207304924498e-07,
|
1254 |
+
"loss": 0.2639,
|
1255 |
+
"step": 1780
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 2.864,
|
1259 |
+
"grad_norm": 1.9570336366099832,
|
1260 |
+
"learning_rate": 5.062218261342122e-07,
|
1261 |
+
"loss": 0.2532,
|
1262 |
+
"step": 1790
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.88,
|
1266 |
+
"grad_norm": 1.3421965286430086,
|
1267 |
+
"learning_rate": 3.9426493427611177e-07,
|
1268 |
+
"loss": 0.2327,
|
1269 |
+
"step": 1800
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 2.896,
|
1273 |
+
"grad_norm": 2.3252685172502465,
|
1274 |
+
"learning_rate": 2.962338031997691e-07,
|
1275 |
+
"loss": 0.2621,
|
1276 |
+
"step": 1810
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 2.912,
|
1280 |
+
"grad_norm": 1.7539361758237508,
|
1281 |
+
"learning_rate": 2.1215595307154667e-07,
|
1282 |
+
"loss": 0.256,
|
1283 |
+
"step": 1820
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 2.928,
|
1287 |
+
"grad_norm": 1.417074579458341,
|
1288 |
+
"learning_rate": 1.420549869693033e-07,
|
1289 |
+
"loss": 0.2545,
|
1290 |
+
"step": 1830
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 2.944,
|
1294 |
+
"grad_norm": 1.7016791883476743,
|
1295 |
+
"learning_rate": 8.595058425640013e-08,
|
1296 |
+
"loss": 0.2596,
|
1297 |
+
"step": 1840
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 2.96,
|
1301 |
+
"grad_norm": 1.6335011497462837,
|
1302 |
+
"learning_rate": 4.385849505708084e-08,
|
1303 |
+
"loss": 0.2584,
|
1304 |
+
"step": 1850
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.976,
|
1308 |
+
"grad_norm": 1.7816152560274576,
|
1309 |
+
"learning_rate": 1.5790535835003008e-08,
|
1310 |
+
"loss": 0.2752,
|
1311 |
+
"step": 1860
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 2.992,
|
1315 |
+
"grad_norm": 1.579627845758394,
|
1316 |
+
"learning_rate": 1.7545860759693445e-09,
|
1317 |
+
"loss": 0.2778,
|
1318 |
+
"step": 1870
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 3.0,
|
1322 |
+
"step": 1875,
|
1323 |
+
"total_flos": 299543991877632.0,
|
1324 |
+
"train_loss": 0.3980048195521037,
|
1325 |
+
"train_runtime": 15877.4798,
|
1326 |
+
"train_samples_per_second": 0.945,
|
1327 |
+
"train_steps_per_second": 0.118
|
1328 |
+
}
|
1329 |
+
],
|
1330 |
+
"logging_steps": 10,
|
1331 |
+
"max_steps": 1875,
|
1332 |
+
"num_input_tokens_seen": 0,
|
1333 |
+
"num_train_epochs": 3,
|
1334 |
+
"save_steps": 500,
|
1335 |
+
"stateful_callbacks": {
|
1336 |
+
"TrainerControl": {
|
1337 |
+
"args": {
|
1338 |
+
"should_epoch_stop": false,
|
1339 |
+
"should_evaluate": false,
|
1340 |
+
"should_log": false,
|
1341 |
+
"should_save": true,
|
1342 |
+
"should_training_stop": true
|
1343 |
+
},
|
1344 |
+
"attributes": {}
|
1345 |
+
}
|
1346 |
+
},
|
1347 |
+
"total_flos": 299543991877632.0,
|
1348 |
+
"train_batch_size": 1,
|
1349 |
+
"trial_name": null,
|
1350 |
+
"trial_params": null
|
1351 |
+
}
|
training_loss.png
ADDED