antonjaragon
commited on
Commit
•
7de6d75
1
Parent(s):
a3f69ef
End of training
Browse files- README.md +4 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +1267 -0
README.md
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/wav2vec2-base
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- superb
|
@@ -22,7 +23,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/wav2vec2-base
|
4 |
tags:
|
5 |
+
- audio-classification
|
6 |
- generated_from_trainer
|
7 |
datasets:
|
8 |
- superb
|
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
+
value: 0.9832303618711385
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
33 |
|
34 |
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.0827
|
37 |
+
- Accuracy: 0.9832
|
38 |
|
39 |
## Model description
|
40 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.9832303618711385,
|
4 |
+
"eval_loss": 0.0826701819896698,
|
5 |
+
"eval_runtime": 13.7161,
|
6 |
+
"eval_samples_per_second": 495.623,
|
7 |
+
"eval_steps_per_second": 15.529,
|
8 |
+
"train_loss": 0.39961676239071037,
|
9 |
+
"train_runtime": 1167.3183,
|
10 |
+
"train_samples_per_second": 218.852,
|
11 |
+
"train_steps_per_second": 1.709
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.9832303618711385,
|
4 |
+
"eval_loss": 0.0826701819896698,
|
5 |
+
"eval_runtime": 13.7161,
|
6 |
+
"eval_samples_per_second": 495.623,
|
7 |
+
"eval_steps_per_second": 15.529
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.39961676239071037,
|
4 |
+
"train_runtime": 1167.3183,
|
5 |
+
"train_samples_per_second": 218.852,
|
6 |
+
"train_steps_per_second": 1.709
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1267 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9832303618711385,
|
3 |
+
"best_model_checkpoint": "wav2vec2-base-ft-keyword-spotting/checkpoint-1597",
|
4 |
+
"epoch": 4.996869129618034,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1995,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.03,
|
13 |
+
"learning_rate": 1.5e-06,
|
14 |
+
"loss": 2.4941,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.05,
|
19 |
+
"learning_rate": 3e-06,
|
20 |
+
"loss": 2.4759,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.08,
|
25 |
+
"learning_rate": 4.5e-06,
|
26 |
+
"loss": 2.4215,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.1,
|
31 |
+
"learning_rate": 6e-06,
|
32 |
+
"loss": 2.3219,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.13,
|
37 |
+
"learning_rate": 7.5e-06,
|
38 |
+
"loss": 2.1799,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.15,
|
43 |
+
"learning_rate": 9e-06,
|
44 |
+
"loss": 2.0087,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.18,
|
49 |
+
"learning_rate": 1.05e-05,
|
50 |
+
"loss": 1.8646,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.2,
|
55 |
+
"learning_rate": 1.2e-05,
|
56 |
+
"loss": 1.7391,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.23,
|
61 |
+
"learning_rate": 1.3500000000000001e-05,
|
62 |
+
"loss": 1.6466,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.25,
|
67 |
+
"learning_rate": 1.5e-05,
|
68 |
+
"loss": 1.6398,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.28,
|
73 |
+
"learning_rate": 1.65e-05,
|
74 |
+
"loss": 1.519,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.3,
|
79 |
+
"learning_rate": 1.8e-05,
|
80 |
+
"loss": 1.5813,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.33,
|
85 |
+
"learning_rate": 1.95e-05,
|
86 |
+
"loss": 1.4891,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.35,
|
91 |
+
"learning_rate": 2.1e-05,
|
92 |
+
"loss": 1.5947,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.38,
|
97 |
+
"learning_rate": 2.25e-05,
|
98 |
+
"loss": 1.542,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.4,
|
103 |
+
"learning_rate": 2.4e-05,
|
104 |
+
"loss": 1.4833,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.43,
|
109 |
+
"learning_rate": 2.55e-05,
|
110 |
+
"loss": 1.431,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.45,
|
115 |
+
"learning_rate": 2.7000000000000002e-05,
|
116 |
+
"loss": 1.353,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.48,
|
121 |
+
"learning_rate": 2.8499999999999998e-05,
|
122 |
+
"loss": 1.265,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.5,
|
127 |
+
"learning_rate": 3e-05,
|
128 |
+
"loss": 1.2248,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.53,
|
133 |
+
"learning_rate": 2.9832869080779945e-05,
|
134 |
+
"loss": 1.0998,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.55,
|
139 |
+
"learning_rate": 2.9665738161559886e-05,
|
140 |
+
"loss": 1.1259,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.58,
|
145 |
+
"learning_rate": 2.9498607242339834e-05,
|
146 |
+
"loss": 1.0713,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.6,
|
151 |
+
"learning_rate": 2.933147632311978e-05,
|
152 |
+
"loss": 1.0161,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.63,
|
157 |
+
"learning_rate": 2.916434540389972e-05,
|
158 |
+
"loss": 0.9614,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.65,
|
163 |
+
"learning_rate": 2.8997214484679665e-05,
|
164 |
+
"loss": 0.8767,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.68,
|
169 |
+
"learning_rate": 2.8830083565459613e-05,
|
170 |
+
"loss": 0.8643,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.7,
|
175 |
+
"learning_rate": 2.8662952646239554e-05,
|
176 |
+
"loss": 0.8183,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.73,
|
181 |
+
"learning_rate": 2.84958217270195e-05,
|
182 |
+
"loss": 0.7784,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.75,
|
187 |
+
"learning_rate": 2.8328690807799443e-05,
|
188 |
+
"loss": 0.6894,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.78,
|
193 |
+
"learning_rate": 2.8161559888579388e-05,
|
194 |
+
"loss": 0.6612,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.8,
|
199 |
+
"learning_rate": 2.7994428969359332e-05,
|
200 |
+
"loss": 0.6353,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.83,
|
205 |
+
"learning_rate": 2.7827298050139277e-05,
|
206 |
+
"loss": 0.6632,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.85,
|
211 |
+
"learning_rate": 2.7660167130919218e-05,
|
212 |
+
"loss": 0.5824,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.88,
|
217 |
+
"learning_rate": 2.7493036211699166e-05,
|
218 |
+
"loss": 0.5914,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.9,
|
223 |
+
"learning_rate": 2.732590529247911e-05,
|
224 |
+
"loss": 0.5481,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.93,
|
229 |
+
"learning_rate": 2.7158774373259055e-05,
|
230 |
+
"loss": 0.5055,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.95,
|
235 |
+
"learning_rate": 2.6991643454038996e-05,
|
236 |
+
"loss": 0.5035,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.98,
|
241 |
+
"learning_rate": 2.6824512534818944e-05,
|
242 |
+
"loss": 0.4547,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 1.0,
|
247 |
+
"eval_accuracy": 0.9710208884966166,
|
248 |
+
"eval_loss": 0.33722183108329773,
|
249 |
+
"eval_runtime": 13.726,
|
250 |
+
"eval_samples_per_second": 495.265,
|
251 |
+
"eval_steps_per_second": 15.518,
|
252 |
+
"step": 399
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.0,
|
256 |
+
"learning_rate": 2.665738161559889e-05,
|
257 |
+
"loss": 0.4363,
|
258 |
+
"step": 400
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.03,
|
262 |
+
"learning_rate": 2.649025069637883e-05,
|
263 |
+
"loss": 0.4134,
|
264 |
+
"step": 410
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.05,
|
268 |
+
"learning_rate": 2.6323119777158774e-05,
|
269 |
+
"loss": 0.4144,
|
270 |
+
"step": 420
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.08,
|
274 |
+
"learning_rate": 2.6155988857938722e-05,
|
275 |
+
"loss": 0.4239,
|
276 |
+
"step": 430
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.1,
|
280 |
+
"learning_rate": 2.5988857938718663e-05,
|
281 |
+
"loss": 0.3925,
|
282 |
+
"step": 440
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.13,
|
286 |
+
"learning_rate": 2.5821727019498608e-05,
|
287 |
+
"loss": 0.3468,
|
288 |
+
"step": 450
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 1.15,
|
292 |
+
"learning_rate": 2.5654596100278553e-05,
|
293 |
+
"loss": 0.3417,
|
294 |
+
"step": 460
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.18,
|
298 |
+
"learning_rate": 2.5487465181058497e-05,
|
299 |
+
"loss": 0.3667,
|
300 |
+
"step": 470
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 1.2,
|
304 |
+
"learning_rate": 2.532033426183844e-05,
|
305 |
+
"loss": 0.361,
|
306 |
+
"step": 480
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 1.23,
|
310 |
+
"learning_rate": 2.5153203342618386e-05,
|
311 |
+
"loss": 0.3563,
|
312 |
+
"step": 490
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 1.25,
|
316 |
+
"learning_rate": 2.4986072423398327e-05,
|
317 |
+
"loss": 0.3567,
|
318 |
+
"step": 500
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 1.28,
|
322 |
+
"learning_rate": 2.4818941504178275e-05,
|
323 |
+
"loss": 0.336,
|
324 |
+
"step": 510
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.3,
|
328 |
+
"learning_rate": 2.465181058495822e-05,
|
329 |
+
"loss": 0.3095,
|
330 |
+
"step": 520
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 1.33,
|
334 |
+
"learning_rate": 2.448467966573816e-05,
|
335 |
+
"loss": 0.3213,
|
336 |
+
"step": 530
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 1.35,
|
340 |
+
"learning_rate": 2.4317548746518106e-05,
|
341 |
+
"loss": 0.281,
|
342 |
+
"step": 540
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 1.38,
|
346 |
+
"learning_rate": 2.415041782729805e-05,
|
347 |
+
"loss": 0.2936,
|
348 |
+
"step": 550
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 1.4,
|
352 |
+
"learning_rate": 2.3983286908077995e-05,
|
353 |
+
"loss": 0.2731,
|
354 |
+
"step": 560
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.43,
|
358 |
+
"learning_rate": 2.381615598885794e-05,
|
359 |
+
"loss": 0.255,
|
360 |
+
"step": 570
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 1.45,
|
364 |
+
"learning_rate": 2.3649025069637884e-05,
|
365 |
+
"loss": 0.2892,
|
366 |
+
"step": 580
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.48,
|
370 |
+
"learning_rate": 2.3481894150417825e-05,
|
371 |
+
"loss": 0.258,
|
372 |
+
"step": 590
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 1.5,
|
376 |
+
"learning_rate": 2.3314763231197773e-05,
|
377 |
+
"loss": 0.2621,
|
378 |
+
"step": 600
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 1.53,
|
382 |
+
"learning_rate": 2.3147632311977718e-05,
|
383 |
+
"loss": 0.2533,
|
384 |
+
"step": 610
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 1.55,
|
388 |
+
"learning_rate": 2.298050139275766e-05,
|
389 |
+
"loss": 0.2595,
|
390 |
+
"step": 620
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.58,
|
394 |
+
"learning_rate": 2.2813370473537603e-05,
|
395 |
+
"loss": 0.2685,
|
396 |
+
"step": 630
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.6,
|
400 |
+
"learning_rate": 2.264623955431755e-05,
|
401 |
+
"loss": 0.2603,
|
402 |
+
"step": 640
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 1.63,
|
406 |
+
"learning_rate": 2.2479108635097492e-05,
|
407 |
+
"loss": 0.286,
|
408 |
+
"step": 650
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.65,
|
412 |
+
"learning_rate": 2.2311977715877437e-05,
|
413 |
+
"loss": 0.2588,
|
414 |
+
"step": 660
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 1.68,
|
418 |
+
"learning_rate": 2.214484679665738e-05,
|
419 |
+
"loss": 0.2327,
|
420 |
+
"step": 670
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.7,
|
424 |
+
"learning_rate": 2.1977715877437326e-05,
|
425 |
+
"loss": 0.2604,
|
426 |
+
"step": 680
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.73,
|
430 |
+
"learning_rate": 2.181058495821727e-05,
|
431 |
+
"loss": 0.2328,
|
432 |
+
"step": 690
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 1.75,
|
436 |
+
"learning_rate": 2.1643454038997215e-05,
|
437 |
+
"loss": 0.2207,
|
438 |
+
"step": 700
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.78,
|
442 |
+
"learning_rate": 2.147632311977716e-05,
|
443 |
+
"loss": 0.2125,
|
444 |
+
"step": 710
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.8,
|
448 |
+
"learning_rate": 2.1309192200557104e-05,
|
449 |
+
"loss": 0.2212,
|
450 |
+
"step": 720
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.83,
|
454 |
+
"learning_rate": 2.114206128133705e-05,
|
455 |
+
"loss": 0.1926,
|
456 |
+
"step": 730
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.85,
|
460 |
+
"learning_rate": 2.0974930362116993e-05,
|
461 |
+
"loss": 0.2338,
|
462 |
+
"step": 740
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 1.88,
|
466 |
+
"learning_rate": 2.0807799442896935e-05,
|
467 |
+
"loss": 0.2278,
|
468 |
+
"step": 750
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 1.9,
|
472 |
+
"learning_rate": 2.0640668523676883e-05,
|
473 |
+
"loss": 0.2128,
|
474 |
+
"step": 760
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 1.93,
|
478 |
+
"learning_rate": 2.0473537604456827e-05,
|
479 |
+
"loss": 0.2214,
|
480 |
+
"step": 770
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.95,
|
484 |
+
"learning_rate": 2.0306406685236768e-05,
|
485 |
+
"loss": 0.199,
|
486 |
+
"step": 780
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.98,
|
490 |
+
"learning_rate": 2.0139275766016713e-05,
|
491 |
+
"loss": 0.2625,
|
492 |
+
"step": 790
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 2.0,
|
496 |
+
"eval_accuracy": 0.9779346866725508,
|
497 |
+
"eval_loss": 0.11822522431612015,
|
498 |
+
"eval_runtime": 13.9175,
|
499 |
+
"eval_samples_per_second": 488.448,
|
500 |
+
"eval_steps_per_second": 15.304,
|
501 |
+
"step": 798
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 2.0,
|
505 |
+
"learning_rate": 1.997214484679666e-05,
|
506 |
+
"loss": 0.1903,
|
507 |
+
"step": 800
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 2.03,
|
511 |
+
"learning_rate": 1.9805013927576602e-05,
|
512 |
+
"loss": 0.1891,
|
513 |
+
"step": 810
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 2.05,
|
517 |
+
"learning_rate": 1.9637883008356546e-05,
|
518 |
+
"loss": 0.2066,
|
519 |
+
"step": 820
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 2.08,
|
523 |
+
"learning_rate": 1.947075208913649e-05,
|
524 |
+
"loss": 0.1839,
|
525 |
+
"step": 830
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 2.1,
|
529 |
+
"learning_rate": 1.9303621169916436e-05,
|
530 |
+
"loss": 0.1799,
|
531 |
+
"step": 840
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 2.13,
|
535 |
+
"learning_rate": 1.9153203342618386e-05,
|
536 |
+
"loss": 0.2192,
|
537 |
+
"step": 850
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 2.15,
|
541 |
+
"learning_rate": 1.898607242339833e-05,
|
542 |
+
"loss": 0.2021,
|
543 |
+
"step": 860
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 2.18,
|
547 |
+
"learning_rate": 1.8818941504178272e-05,
|
548 |
+
"loss": 0.2315,
|
549 |
+
"step": 870
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 2.2,
|
553 |
+
"learning_rate": 1.8651810584958216e-05,
|
554 |
+
"loss": 0.2357,
|
555 |
+
"step": 880
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 2.23,
|
559 |
+
"learning_rate": 1.8484679665738164e-05,
|
560 |
+
"loss": 0.1723,
|
561 |
+
"step": 890
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 2.25,
|
565 |
+
"learning_rate": 1.8317548746518105e-05,
|
566 |
+
"loss": 0.2169,
|
567 |
+
"step": 900
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 2.28,
|
571 |
+
"learning_rate": 1.815041782729805e-05,
|
572 |
+
"loss": 0.1875,
|
573 |
+
"step": 910
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 2.3,
|
577 |
+
"learning_rate": 1.7983286908077995e-05,
|
578 |
+
"loss": 0.1807,
|
579 |
+
"step": 920
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 2.33,
|
583 |
+
"learning_rate": 1.781615598885794e-05,
|
584 |
+
"loss": 0.1777,
|
585 |
+
"step": 930
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 2.35,
|
589 |
+
"learning_rate": 1.7649025069637884e-05,
|
590 |
+
"loss": 0.187,
|
591 |
+
"step": 940
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 2.38,
|
595 |
+
"learning_rate": 1.7481894150417828e-05,
|
596 |
+
"loss": 0.1855,
|
597 |
+
"step": 950
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 2.4,
|
601 |
+
"learning_rate": 1.731476323119777e-05,
|
602 |
+
"loss": 0.1486,
|
603 |
+
"step": 960
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 2.43,
|
607 |
+
"learning_rate": 1.7147632311977717e-05,
|
608 |
+
"loss": 0.1879,
|
609 |
+
"step": 970
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 2.45,
|
613 |
+
"learning_rate": 1.6980501392757662e-05,
|
614 |
+
"loss": 0.1662,
|
615 |
+
"step": 980
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 2.48,
|
619 |
+
"learning_rate": 1.6813370473537606e-05,
|
620 |
+
"loss": 0.1908,
|
621 |
+
"step": 990
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 2.5,
|
625 |
+
"learning_rate": 1.6646239554317548e-05,
|
626 |
+
"loss": 0.1785,
|
627 |
+
"step": 1000
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 2.53,
|
631 |
+
"learning_rate": 1.6479108635097496e-05,
|
632 |
+
"loss": 0.1643,
|
633 |
+
"step": 1010
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 2.55,
|
637 |
+
"learning_rate": 1.631197771587744e-05,
|
638 |
+
"loss": 0.1606,
|
639 |
+
"step": 1020
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.58,
|
643 |
+
"learning_rate": 1.614484679665738e-05,
|
644 |
+
"loss": 0.1504,
|
645 |
+
"step": 1030
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 2.6,
|
649 |
+
"learning_rate": 1.5977715877437326e-05,
|
650 |
+
"loss": 0.1806,
|
651 |
+
"step": 1040
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 2.63,
|
655 |
+
"learning_rate": 1.581058495821727e-05,
|
656 |
+
"loss": 0.1574,
|
657 |
+
"step": 1050
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 2.65,
|
661 |
+
"learning_rate": 1.5643454038997215e-05,
|
662 |
+
"loss": 0.1769,
|
663 |
+
"step": 1060
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 2.68,
|
667 |
+
"learning_rate": 1.547632311977716e-05,
|
668 |
+
"loss": 0.1853,
|
669 |
+
"step": 1070
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.71,
|
673 |
+
"learning_rate": 1.5309192200557104e-05,
|
674 |
+
"loss": 0.1916,
|
675 |
+
"step": 1080
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 2.73,
|
679 |
+
"learning_rate": 1.5142061281337047e-05,
|
680 |
+
"loss": 0.1796,
|
681 |
+
"step": 1090
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 2.76,
|
685 |
+
"learning_rate": 1.4974930362116992e-05,
|
686 |
+
"loss": 0.172,
|
687 |
+
"step": 1100
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 2.78,
|
691 |
+
"learning_rate": 1.4807799442896936e-05,
|
692 |
+
"loss": 0.1934,
|
693 |
+
"step": 1110
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 2.81,
|
697 |
+
"learning_rate": 1.464066852367688e-05,
|
698 |
+
"loss": 0.1946,
|
699 |
+
"step": 1120
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.83,
|
703 |
+
"learning_rate": 1.4473537604456825e-05,
|
704 |
+
"loss": 0.159,
|
705 |
+
"step": 1130
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 2.86,
|
709 |
+
"learning_rate": 1.4306406685236768e-05,
|
710 |
+
"loss": 0.1769,
|
711 |
+
"step": 1140
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 2.88,
|
715 |
+
"learning_rate": 1.4139275766016714e-05,
|
716 |
+
"loss": 0.1501,
|
717 |
+
"step": 1150
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 2.91,
|
721 |
+
"learning_rate": 1.3972144846796657e-05,
|
722 |
+
"loss": 0.1731,
|
723 |
+
"step": 1160
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 2.93,
|
727 |
+
"learning_rate": 1.3805013927576602e-05,
|
728 |
+
"loss": 0.1645,
|
729 |
+
"step": 1170
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 2.96,
|
733 |
+
"learning_rate": 1.3637883008356546e-05,
|
734 |
+
"loss": 0.1756,
|
735 |
+
"step": 1180
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 2.98,
|
739 |
+
"learning_rate": 1.3470752089136491e-05,
|
740 |
+
"loss": 0.1575,
|
741 |
+
"step": 1190
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 3.0,
|
745 |
+
"eval_accuracy": 0.978670197116799,
|
746 |
+
"eval_loss": 0.09626787155866623,
|
747 |
+
"eval_runtime": 13.6857,
|
748 |
+
"eval_samples_per_second": 496.721,
|
749 |
+
"eval_steps_per_second": 15.564,
|
750 |
+
"step": 1197
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 3.01,
|
754 |
+
"learning_rate": 1.3303621169916434e-05,
|
755 |
+
"loss": 0.1462,
|
756 |
+
"step": 1200
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 3.03,
|
760 |
+
"learning_rate": 1.313649025069638e-05,
|
761 |
+
"loss": 0.1298,
|
762 |
+
"step": 1210
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 3.06,
|
766 |
+
"learning_rate": 1.2969359331476323e-05,
|
767 |
+
"loss": 0.1755,
|
768 |
+
"step": 1220
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 3.08,
|
772 |
+
"learning_rate": 1.2802228412256267e-05,
|
773 |
+
"loss": 0.1677,
|
774 |
+
"step": 1230
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 3.11,
|
778 |
+
"learning_rate": 1.2635097493036212e-05,
|
779 |
+
"loss": 0.1487,
|
780 |
+
"step": 1240
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 3.13,
|
784 |
+
"learning_rate": 1.2467966573816157e-05,
|
785 |
+
"loss": 0.1359,
|
786 |
+
"step": 1250
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 3.16,
|
790 |
+
"learning_rate": 1.2300835654596101e-05,
|
791 |
+
"loss": 0.1499,
|
792 |
+
"step": 1260
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 3.18,
|
796 |
+
"learning_rate": 1.2133704735376046e-05,
|
797 |
+
"loss": 0.1593,
|
798 |
+
"step": 1270
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 3.21,
|
802 |
+
"learning_rate": 1.1966573816155989e-05,
|
803 |
+
"loss": 0.1632,
|
804 |
+
"step": 1280
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 3.23,
|
808 |
+
"learning_rate": 1.1799442896935935e-05,
|
809 |
+
"loss": 0.1769,
|
810 |
+
"step": 1290
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 3.26,
|
814 |
+
"learning_rate": 1.1632311977715878e-05,
|
815 |
+
"loss": 0.159,
|
816 |
+
"step": 1300
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 3.28,
|
820 |
+
"learning_rate": 1.1465181058495822e-05,
|
821 |
+
"loss": 0.1489,
|
822 |
+
"step": 1310
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 3.31,
|
826 |
+
"learning_rate": 1.1298050139275767e-05,
|
827 |
+
"loss": 0.1684,
|
828 |
+
"step": 1320
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 3.33,
|
832 |
+
"learning_rate": 1.1130919220055711e-05,
|
833 |
+
"loss": 0.1515,
|
834 |
+
"step": 1330
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 3.36,
|
838 |
+
"learning_rate": 1.0963788300835654e-05,
|
839 |
+
"loss": 0.1421,
|
840 |
+
"step": 1340
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 3.38,
|
844 |
+
"learning_rate": 1.0796657381615599e-05,
|
845 |
+
"loss": 0.143,
|
846 |
+
"step": 1350
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 3.41,
|
850 |
+
"learning_rate": 1.0629526462395543e-05,
|
851 |
+
"loss": 0.1674,
|
852 |
+
"step": 1360
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 3.43,
|
856 |
+
"learning_rate": 1.0462395543175486e-05,
|
857 |
+
"loss": 0.1255,
|
858 |
+
"step": 1370
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 3.46,
|
862 |
+
"learning_rate": 1.0295264623955432e-05,
|
863 |
+
"loss": 0.1431,
|
864 |
+
"step": 1380
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 3.48,
|
868 |
+
"learning_rate": 1.0128133704735375e-05,
|
869 |
+
"loss": 0.1066,
|
870 |
+
"step": 1390
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 3.51,
|
874 |
+
"learning_rate": 9.961002785515322e-06,
|
875 |
+
"loss": 0.1471,
|
876 |
+
"step": 1400
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 3.53,
|
880 |
+
"learning_rate": 9.793871866295264e-06,
|
881 |
+
"loss": 0.1384,
|
882 |
+
"step": 1410
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 3.56,
|
886 |
+
"learning_rate": 9.626740947075209e-06,
|
887 |
+
"loss": 0.1366,
|
888 |
+
"step": 1420
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 3.58,
|
892 |
+
"learning_rate": 9.459610027855154e-06,
|
893 |
+
"loss": 0.1433,
|
894 |
+
"step": 1430
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 3.61,
|
898 |
+
"learning_rate": 9.292479108635098e-06,
|
899 |
+
"loss": 0.1387,
|
900 |
+
"step": 1440
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 3.63,
|
904 |
+
"learning_rate": 9.125348189415041e-06,
|
905 |
+
"loss": 0.1336,
|
906 |
+
"step": 1450
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 3.66,
|
910 |
+
"learning_rate": 8.958217270194987e-06,
|
911 |
+
"loss": 0.1277,
|
912 |
+
"step": 1460
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 3.68,
|
916 |
+
"learning_rate": 8.79108635097493e-06,
|
917 |
+
"loss": 0.1762,
|
918 |
+
"step": 1470
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 3.71,
|
922 |
+
"learning_rate": 8.623955431754875e-06,
|
923 |
+
"loss": 0.1493,
|
924 |
+
"step": 1480
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 3.73,
|
928 |
+
"learning_rate": 8.45682451253482e-06,
|
929 |
+
"loss": 0.1595,
|
930 |
+
"step": 1490
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 3.76,
|
934 |
+
"learning_rate": 8.289693593314764e-06,
|
935 |
+
"loss": 0.154,
|
936 |
+
"step": 1500
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 3.78,
|
940 |
+
"learning_rate": 8.122562674094707e-06,
|
941 |
+
"loss": 0.1023,
|
942 |
+
"step": 1510
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 3.81,
|
946 |
+
"learning_rate": 7.955431754874653e-06,
|
947 |
+
"loss": 0.1103,
|
948 |
+
"step": 1520
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 3.83,
|
952 |
+
"learning_rate": 7.788300835654596e-06,
|
953 |
+
"loss": 0.1822,
|
954 |
+
"step": 1530
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 3.86,
|
958 |
+
"learning_rate": 7.621169916434541e-06,
|
959 |
+
"loss": 0.1238,
|
960 |
+
"step": 1540
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 3.88,
|
964 |
+
"learning_rate": 7.454038997214485e-06,
|
965 |
+
"loss": 0.1626,
|
966 |
+
"step": 1550
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 3.91,
|
970 |
+
"learning_rate": 7.2869080779944286e-06,
|
971 |
+
"loss": 0.1534,
|
972 |
+
"step": 1560
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 3.93,
|
976 |
+
"learning_rate": 7.119777158774373e-06,
|
977 |
+
"loss": 0.1365,
|
978 |
+
"step": 1570
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 3.96,
|
982 |
+
"learning_rate": 6.952646239554318e-06,
|
983 |
+
"loss": 0.1453,
|
984 |
+
"step": 1580
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 3.98,
|
988 |
+
"learning_rate": 6.785515320334261e-06,
|
989 |
+
"loss": 0.1314,
|
990 |
+
"step": 1590
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 4.0,
|
994 |
+
"eval_accuracy": 0.9832303618711385,
|
995 |
+
"eval_loss": 0.0826701819896698,
|
996 |
+
"eval_runtime": 14.003,
|
997 |
+
"eval_samples_per_second": 485.468,
|
998 |
+
"eval_steps_per_second": 15.211,
|
999 |
+
"step": 1597
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 4.01,
|
1003 |
+
"learning_rate": 6.618384401114206e-06,
|
1004 |
+
"loss": 0.154,
|
1005 |
+
"step": 1600
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 4.03,
|
1009 |
+
"learning_rate": 6.4512534818941505e-06,
|
1010 |
+
"loss": 0.1425,
|
1011 |
+
"step": 1610
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 4.06,
|
1015 |
+
"learning_rate": 6.284122562674095e-06,
|
1016 |
+
"loss": 0.1525,
|
1017 |
+
"step": 1620
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 4.08,
|
1021 |
+
"learning_rate": 6.116991643454039e-06,
|
1022 |
+
"loss": 0.1148,
|
1023 |
+
"step": 1630
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 4.11,
|
1027 |
+
"learning_rate": 5.949860724233983e-06,
|
1028 |
+
"loss": 0.1506,
|
1029 |
+
"step": 1640
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 4.13,
|
1033 |
+
"learning_rate": 5.782729805013928e-06,
|
1034 |
+
"loss": 0.1339,
|
1035 |
+
"step": 1650
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 4.16,
|
1039 |
+
"learning_rate": 5.615598885793872e-06,
|
1040 |
+
"loss": 0.1111,
|
1041 |
+
"step": 1660
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 4.18,
|
1045 |
+
"learning_rate": 5.448467966573816e-06,
|
1046 |
+
"loss": 0.1158,
|
1047 |
+
"step": 1670
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 4.21,
|
1051 |
+
"learning_rate": 5.281337047353761e-06,
|
1052 |
+
"loss": 0.1257,
|
1053 |
+
"step": 1680
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 4.23,
|
1057 |
+
"learning_rate": 5.114206128133705e-06,
|
1058 |
+
"loss": 0.1553,
|
1059 |
+
"step": 1690
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 4.26,
|
1063 |
+
"learning_rate": 4.947075208913649e-06,
|
1064 |
+
"loss": 0.1289,
|
1065 |
+
"step": 1700
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 4.28,
|
1069 |
+
"learning_rate": 4.7799442896935936e-06,
|
1070 |
+
"loss": 0.1269,
|
1071 |
+
"step": 1710
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 4.31,
|
1075 |
+
"learning_rate": 4.612813370473538e-06,
|
1076 |
+
"loss": 0.1514,
|
1077 |
+
"step": 1720
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 4.33,
|
1081 |
+
"learning_rate": 4.445682451253482e-06,
|
1082 |
+
"loss": 0.1262,
|
1083 |
+
"step": 1730
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 4.36,
|
1087 |
+
"learning_rate": 4.278551532033426e-06,
|
1088 |
+
"loss": 0.1363,
|
1089 |
+
"step": 1740
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 4.38,
|
1093 |
+
"learning_rate": 4.111420612813371e-06,
|
1094 |
+
"loss": 0.1131,
|
1095 |
+
"step": 1750
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 4.41,
|
1099 |
+
"learning_rate": 3.944289693593315e-06,
|
1100 |
+
"loss": 0.116,
|
1101 |
+
"step": 1760
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 4.43,
|
1105 |
+
"learning_rate": 3.7771587743732592e-06,
|
1106 |
+
"loss": 0.1216,
|
1107 |
+
"step": 1770
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 4.46,
|
1111 |
+
"learning_rate": 3.6100278551532034e-06,
|
1112 |
+
"loss": 0.1246,
|
1113 |
+
"step": 1780
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 4.48,
|
1117 |
+
"learning_rate": 3.4428969359331475e-06,
|
1118 |
+
"loss": 0.1313,
|
1119 |
+
"step": 1790
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 4.51,
|
1123 |
+
"learning_rate": 3.275766016713092e-06,
|
1124 |
+
"loss": 0.136,
|
1125 |
+
"step": 1800
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 4.53,
|
1129 |
+
"learning_rate": 3.108635097493036e-06,
|
1130 |
+
"loss": 0.1494,
|
1131 |
+
"step": 1810
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 4.56,
|
1135 |
+
"learning_rate": 2.9415041782729803e-06,
|
1136 |
+
"loss": 0.1381,
|
1137 |
+
"step": 1820
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 4.58,
|
1141 |
+
"learning_rate": 2.774373259052925e-06,
|
1142 |
+
"loss": 0.1621,
|
1143 |
+
"step": 1830
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 4.61,
|
1147 |
+
"learning_rate": 2.607242339832869e-06,
|
1148 |
+
"loss": 0.1307,
|
1149 |
+
"step": 1840
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 4.63,
|
1153 |
+
"learning_rate": 2.4401114206128136e-06,
|
1154 |
+
"loss": 0.1164,
|
1155 |
+
"step": 1850
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 4.66,
|
1159 |
+
"learning_rate": 2.2729805013927577e-06,
|
1160 |
+
"loss": 0.128,
|
1161 |
+
"step": 1860
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 4.68,
|
1165 |
+
"learning_rate": 2.1058495821727023e-06,
|
1166 |
+
"loss": 0.1226,
|
1167 |
+
"step": 1870
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 4.71,
|
1171 |
+
"learning_rate": 1.9387186629526464e-06,
|
1172 |
+
"loss": 0.1234,
|
1173 |
+
"step": 1880
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 4.73,
|
1177 |
+
"learning_rate": 1.7715877437325906e-06,
|
1178 |
+
"loss": 0.1666,
|
1179 |
+
"step": 1890
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 4.76,
|
1183 |
+
"learning_rate": 1.604456824512535e-06,
|
1184 |
+
"loss": 0.1072,
|
1185 |
+
"step": 1900
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 4.78,
|
1189 |
+
"learning_rate": 1.437325905292479e-06,
|
1190 |
+
"loss": 0.1151,
|
1191 |
+
"step": 1910
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 4.81,
|
1195 |
+
"learning_rate": 1.2701949860724234e-06,
|
1196 |
+
"loss": 0.1556,
|
1197 |
+
"step": 1920
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 4.83,
|
1201 |
+
"learning_rate": 1.1030640668523677e-06,
|
1202 |
+
"loss": 0.1222,
|
1203 |
+
"step": 1930
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 4.86,
|
1207 |
+
"learning_rate": 9.35933147632312e-07,
|
1208 |
+
"loss": 0.1251,
|
1209 |
+
"step": 1940
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 4.88,
|
1213 |
+
"learning_rate": 7.688022284122563e-07,
|
1214 |
+
"loss": 0.1262,
|
1215 |
+
"step": 1950
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 4.91,
|
1219 |
+
"learning_rate": 6.016713091922006e-07,
|
1220 |
+
"loss": 0.1096,
|
1221 |
+
"step": 1960
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 4.93,
|
1225 |
+
"learning_rate": 4.3454038997214486e-07,
|
1226 |
+
"loss": 0.1115,
|
1227 |
+
"step": 1970
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 4.96,
|
1231 |
+
"learning_rate": 2.6740947075208915e-07,
|
1232 |
+
"loss": 0.1065,
|
1233 |
+
"step": 1980
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 4.98,
|
1237 |
+
"learning_rate": 1.0027855153203343e-07,
|
1238 |
+
"loss": 0.1307,
|
1239 |
+
"step": 1990
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 5.0,
|
1243 |
+
"eval_accuracy": 0.9830832597822889,
|
1244 |
+
"eval_loss": 0.07888180762529373,
|
1245 |
+
"eval_runtime": 13.938,
|
1246 |
+
"eval_samples_per_second": 487.73,
|
1247 |
+
"eval_steps_per_second": 15.282,
|
1248 |
+
"step": 1995
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 5.0,
|
1252 |
+
"step": 1995,
|
1253 |
+
"total_flos": 2.3180194781952e+18,
|
1254 |
+
"train_loss": 0.39961676239071037,
|
1255 |
+
"train_runtime": 1167.3183,
|
1256 |
+
"train_samples_per_second": 218.852,
|
1257 |
+
"train_steps_per_second": 1.709
|
1258 |
+
}
|
1259 |
+
],
|
1260 |
+
"logging_steps": 10,
|
1261 |
+
"max_steps": 1995,
|
1262 |
+
"num_train_epochs": 5,
|
1263 |
+
"save_steps": 500,
|
1264 |
+
"total_flos": 2.3180194781952e+18,
|
1265 |
+
"trial_name": null,
|
1266 |
+
"trial_params": null
|
1267 |
+
}
|