zuazo commited on
Commit
a320bc6
1 Parent(s): 4d084b7

End of training

Browse files
Files changed (5) hide show
  1. README.md +12 -9
  2. all_results.json +12 -0
  3. eval_results.json +8 -0
  4. train_results.json +7 -0
  5. trainer_state.json +2518 -0
README.md CHANGED
@@ -1,39 +1,42 @@
1
  ---
 
 
2
  license: apache-2.0
3
  base_model: openai/whisper-medium
4
  tags:
 
5
  - generated_from_trainer
6
  datasets:
7
- - common_voice_13_0
8
  metrics:
9
  - wer
10
  model-index:
11
- - name: openai/whisper-medium
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
- name: common_voice_13_0
18
- type: common_voice_13_0
19
  config: gl
20
  split: test
21
  args: gl
22
  metrics:
23
  - name: Wer
24
  type: wer
25
- value: 7.124379139072848
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
  should probably proofread and complete it, then remove this comment. -->
30
 
31
- # openai/whisper-medium
32
 
33
- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_13_0 dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.3218
36
- - Wer: 7.1244
37
 
38
  ## Model description
39
 
 
1
  ---
2
+ language:
3
+ - gl
4
  license: apache-2.0
5
  base_model: openai/whisper-medium
6
  tags:
7
+ - whisper-event
8
  - generated_from_trainer
9
  datasets:
10
+ - mozilla-foundation/common_voice_13_0
11
  metrics:
12
  - wer
13
  model-index:
14
+ - name: Whisper Medium Galician
15
  results:
16
  - task:
17
  name: Automatic Speech Recognition
18
  type: automatic-speech-recognition
19
  dataset:
20
+ name: mozilla-foundation/common_voice_13_0 gl
21
+ type: mozilla-foundation/common_voice_13_0
22
  config: gl
23
  split: test
24
  args: gl
25
  metrics:
26
  - name: Wer
27
  type: wer
28
+ value: 7.122654525386314
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
  should probably proofread and complete it, then remove this comment. -->
33
 
34
+ # Whisper Medium Galician
35
 
36
+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_13_0 gl dataset.
37
  It achieves the following results on the evaluation set:
38
+ - Loss: 0.3196
39
+ - Wer: 7.1227
40
 
41
  ## Model description
42
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.02,
3
+ "eval_loss": 0.3196016252040863,
4
+ "eval_runtime": 1394.5982,
5
+ "eval_samples_per_second": 4.694,
6
+ "eval_steps_per_second": 0.147,
7
+ "eval_wer": 7.122654525386314,
8
+ "train_loss": 0.017749687022855506,
9
+ "train_runtime": 135026.7905,
10
+ "train_samples_per_second": 4.74,
11
+ "train_steps_per_second": 0.074
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.02,
3
+ "eval_loss": 0.3196016252040863,
4
+ "eval_runtime": 1394.5982,
5
+ "eval_samples_per_second": 4.694,
6
+ "eval_steps_per_second": 0.147,
7
+ "eval_wer": 7.122654525386314
8
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.02,
3
+ "train_loss": 0.017749687022855506,
4
+ "train_runtime": 135026.7905,
5
+ "train_samples_per_second": 4.74,
6
+ "train_steps_per_second": 0.074
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,2518 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 7.122654525386314,
3
+ "best_model_checkpoint": "./checkpoint-9000",
4
+ "epoch": 49.02,
5
+ "eval_steps": 1000,
6
+ "global_step": 10000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 4.4e-07,
14
+ "loss": 1.4558,
15
+ "step": 25
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 9.400000000000001e-07,
20
+ "loss": 1.0392,
21
+ "step": 50
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 1.44e-06,
26
+ "loss": 0.4931,
27
+ "step": 75
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 1.94e-06,
32
+ "loss": 0.368,
33
+ "step": 100
34
+ },
35
+ {
36
+ "epoch": 0.01,
37
+ "learning_rate": 2.4400000000000004e-06,
38
+ "loss": 0.294,
39
+ "step": 125
40
+ },
41
+ {
42
+ "epoch": 0.01,
43
+ "learning_rate": 2.9400000000000002e-06,
44
+ "loss": 0.2645,
45
+ "step": 150
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 3.44e-06,
50
+ "loss": 0.2372,
51
+ "step": 175
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "learning_rate": 3.94e-06,
56
+ "loss": 0.2033,
57
+ "step": 200
58
+ },
59
+ {
60
+ "epoch": 1.0,
61
+ "learning_rate": 4.440000000000001e-06,
62
+ "loss": 0.196,
63
+ "step": 225
64
+ },
65
+ {
66
+ "epoch": 1.0,
67
+ "learning_rate": 4.94e-06,
68
+ "loss": 0.2127,
69
+ "step": 250
70
+ },
71
+ {
72
+ "epoch": 1.01,
73
+ "learning_rate": 5.4400000000000004e-06,
74
+ "loss": 0.181,
75
+ "step": 275
76
+ },
77
+ {
78
+ "epoch": 1.01,
79
+ "learning_rate": 5.94e-06,
80
+ "loss": 0.1592,
81
+ "step": 300
82
+ },
83
+ {
84
+ "epoch": 1.01,
85
+ "learning_rate": 6.440000000000001e-06,
86
+ "loss": 0.1337,
87
+ "step": 325
88
+ },
89
+ {
90
+ "epoch": 1.01,
91
+ "learning_rate": 6.9400000000000005e-06,
92
+ "loss": 0.1235,
93
+ "step": 350
94
+ },
95
+ {
96
+ "epoch": 1.02,
97
+ "learning_rate": 7.440000000000001e-06,
98
+ "loss": 0.112,
99
+ "step": 375
100
+ },
101
+ {
102
+ "epoch": 1.02,
103
+ "learning_rate": 7.94e-06,
104
+ "loss": 0.0995,
105
+ "step": 400
106
+ },
107
+ {
108
+ "epoch": 2.0,
109
+ "learning_rate": 8.44e-06,
110
+ "loss": 0.0879,
111
+ "step": 425
112
+ },
113
+ {
114
+ "epoch": 2.0,
115
+ "learning_rate": 8.94e-06,
116
+ "loss": 0.1117,
117
+ "step": 450
118
+ },
119
+ {
120
+ "epoch": 2.01,
121
+ "learning_rate": 9.440000000000001e-06,
122
+ "loss": 0.0881,
123
+ "step": 475
124
+ },
125
+ {
126
+ "epoch": 2.01,
127
+ "learning_rate": 9.940000000000001e-06,
128
+ "loss": 0.0767,
129
+ "step": 500
130
+ },
131
+ {
132
+ "epoch": 2.01,
133
+ "learning_rate": 9.976842105263158e-06,
134
+ "loss": 0.0656,
135
+ "step": 525
136
+ },
137
+ {
138
+ "epoch": 2.02,
139
+ "learning_rate": 9.950526315789475e-06,
140
+ "loss": 0.0592,
141
+ "step": 550
142
+ },
143
+ {
144
+ "epoch": 2.02,
145
+ "learning_rate": 9.92421052631579e-06,
146
+ "loss": 0.0534,
147
+ "step": 575
148
+ },
149
+ {
150
+ "epoch": 2.02,
151
+ "learning_rate": 9.897894736842107e-06,
152
+ "loss": 0.0479,
153
+ "step": 600
154
+ },
155
+ {
156
+ "epoch": 3.0,
157
+ "learning_rate": 9.871578947368422e-06,
158
+ "loss": 0.0419,
159
+ "step": 625
160
+ },
161
+ {
162
+ "epoch": 3.0,
163
+ "learning_rate": 9.845263157894738e-06,
164
+ "loss": 0.0542,
165
+ "step": 650
166
+ },
167
+ {
168
+ "epoch": 3.01,
169
+ "learning_rate": 9.818947368421053e-06,
170
+ "loss": 0.0418,
171
+ "step": 675
172
+ },
173
+ {
174
+ "epoch": 3.01,
175
+ "learning_rate": 9.79263157894737e-06,
176
+ "loss": 0.0376,
177
+ "step": 700
178
+ },
179
+ {
180
+ "epoch": 3.01,
181
+ "learning_rate": 9.766315789473685e-06,
182
+ "loss": 0.0339,
183
+ "step": 725
184
+ },
185
+ {
186
+ "epoch": 3.02,
187
+ "learning_rate": 9.74e-06,
188
+ "loss": 0.0298,
189
+ "step": 750
190
+ },
191
+ {
192
+ "epoch": 3.02,
193
+ "learning_rate": 9.713684210526317e-06,
194
+ "loss": 0.0265,
195
+ "step": 775
196
+ },
197
+ {
198
+ "epoch": 3.02,
199
+ "learning_rate": 9.687368421052632e-06,
200
+ "loss": 0.0233,
201
+ "step": 800
202
+ },
203
+ {
204
+ "epoch": 4.0,
205
+ "learning_rate": 9.661052631578948e-06,
206
+ "loss": 0.0221,
207
+ "step": 825
208
+ },
209
+ {
210
+ "epoch": 4.0,
211
+ "learning_rate": 9.634736842105265e-06,
212
+ "loss": 0.0293,
213
+ "step": 850
214
+ },
215
+ {
216
+ "epoch": 4.01,
217
+ "learning_rate": 9.60842105263158e-06,
218
+ "loss": 0.0229,
219
+ "step": 875
220
+ },
221
+ {
222
+ "epoch": 4.01,
223
+ "learning_rate": 9.582105263157897e-06,
224
+ "loss": 0.0218,
225
+ "step": 900
226
+ },
227
+ {
228
+ "epoch": 4.01,
229
+ "learning_rate": 9.555789473684211e-06,
230
+ "loss": 0.0171,
231
+ "step": 925
232
+ },
233
+ {
234
+ "epoch": 4.01,
235
+ "learning_rate": 9.529473684210528e-06,
236
+ "loss": 0.0157,
237
+ "step": 950
238
+ },
239
+ {
240
+ "epoch": 4.02,
241
+ "learning_rate": 9.503157894736843e-06,
242
+ "loss": 0.014,
243
+ "step": 975
244
+ },
245
+ {
246
+ "epoch": 4.02,
247
+ "learning_rate": 9.476842105263158e-06,
248
+ "loss": 0.0124,
249
+ "step": 1000
250
+ },
251
+ {
252
+ "epoch": 4.02,
253
+ "eval_loss": 0.21937283873558044,
254
+ "eval_runtime": 1489.5407,
255
+ "eval_samples_per_second": 4.395,
256
+ "eval_steps_per_second": 0.138,
257
+ "eval_wer": 7.538286423841059,
258
+ "step": 1000
259
+ },
260
+ {
261
+ "epoch": 5.0,
262
+ "learning_rate": 9.450526315789475e-06,
263
+ "loss": 0.0129,
264
+ "step": 1025
265
+ },
266
+ {
267
+ "epoch": 5.0,
268
+ "learning_rate": 9.42421052631579e-06,
269
+ "loss": 0.0163,
270
+ "step": 1050
271
+ },
272
+ {
273
+ "epoch": 5.01,
274
+ "learning_rate": 9.397894736842106e-06,
275
+ "loss": 0.0123,
276
+ "step": 1075
277
+ },
278
+ {
279
+ "epoch": 5.01,
280
+ "learning_rate": 9.371578947368421e-06,
281
+ "loss": 0.0147,
282
+ "step": 1100
283
+ },
284
+ {
285
+ "epoch": 5.01,
286
+ "learning_rate": 9.345263157894738e-06,
287
+ "loss": 0.0103,
288
+ "step": 1125
289
+ },
290
+ {
291
+ "epoch": 5.01,
292
+ "learning_rate": 9.318947368421053e-06,
293
+ "loss": 0.0088,
294
+ "step": 1150
295
+ },
296
+ {
297
+ "epoch": 5.02,
298
+ "learning_rate": 9.292631578947368e-06,
299
+ "loss": 0.0081,
300
+ "step": 1175
301
+ },
302
+ {
303
+ "epoch": 5.02,
304
+ "learning_rate": 9.266315789473685e-06,
305
+ "loss": 0.0063,
306
+ "step": 1200
307
+ },
308
+ {
309
+ "epoch": 6.0,
310
+ "learning_rate": 9.240000000000001e-06,
311
+ "loss": 0.0078,
312
+ "step": 1225
313
+ },
314
+ {
315
+ "epoch": 6.0,
316
+ "learning_rate": 9.213684210526316e-06,
317
+ "loss": 0.0103,
318
+ "step": 1250
319
+ },
320
+ {
321
+ "epoch": 6.01,
322
+ "learning_rate": 9.187368421052633e-06,
323
+ "loss": 0.0081,
324
+ "step": 1275
325
+ },
326
+ {
327
+ "epoch": 6.01,
328
+ "learning_rate": 9.161052631578948e-06,
329
+ "loss": 0.0073,
330
+ "step": 1300
331
+ },
332
+ {
333
+ "epoch": 6.01,
334
+ "learning_rate": 9.134736842105265e-06,
335
+ "loss": 0.0081,
336
+ "step": 1325
337
+ },
338
+ {
339
+ "epoch": 6.01,
340
+ "learning_rate": 9.10842105263158e-06,
341
+ "loss": 0.0074,
342
+ "step": 1350
343
+ },
344
+ {
345
+ "epoch": 6.02,
346
+ "learning_rate": 9.082105263157896e-06,
347
+ "loss": 0.007,
348
+ "step": 1375
349
+ },
350
+ {
351
+ "epoch": 6.02,
352
+ "learning_rate": 9.055789473684211e-06,
353
+ "loss": 0.0055,
354
+ "step": 1400
355
+ },
356
+ {
357
+ "epoch": 7.0,
358
+ "learning_rate": 9.029473684210526e-06,
359
+ "loss": 0.0062,
360
+ "step": 1425
361
+ },
362
+ {
363
+ "epoch": 7.0,
364
+ "learning_rate": 9.003157894736843e-06,
365
+ "loss": 0.0063,
366
+ "step": 1450
367
+ },
368
+ {
369
+ "epoch": 7.01,
370
+ "learning_rate": 8.976842105263158e-06,
371
+ "loss": 0.0084,
372
+ "step": 1475
373
+ },
374
+ {
375
+ "epoch": 7.01,
376
+ "learning_rate": 8.950526315789474e-06,
377
+ "loss": 0.0052,
378
+ "step": 1500
379
+ },
380
+ {
381
+ "epoch": 7.01,
382
+ "learning_rate": 8.92421052631579e-06,
383
+ "loss": 0.0056,
384
+ "step": 1525
385
+ },
386
+ {
387
+ "epoch": 7.01,
388
+ "learning_rate": 8.897894736842106e-06,
389
+ "loss": 0.0038,
390
+ "step": 1550
391
+ },
392
+ {
393
+ "epoch": 7.02,
394
+ "learning_rate": 8.871578947368423e-06,
395
+ "loss": 0.005,
396
+ "step": 1575
397
+ },
398
+ {
399
+ "epoch": 7.02,
400
+ "learning_rate": 8.845263157894738e-06,
401
+ "loss": 0.0048,
402
+ "step": 1600
403
+ },
404
+ {
405
+ "epoch": 8.0,
406
+ "learning_rate": 8.818947368421054e-06,
407
+ "loss": 0.0035,
408
+ "step": 1625
409
+ },
410
+ {
411
+ "epoch": 8.01,
412
+ "learning_rate": 8.79263157894737e-06,
413
+ "loss": 0.0056,
414
+ "step": 1650
415
+ },
416
+ {
417
+ "epoch": 8.01,
418
+ "learning_rate": 8.766315789473684e-06,
419
+ "loss": 0.0045,
420
+ "step": 1675
421
+ },
422
+ {
423
+ "epoch": 8.01,
424
+ "learning_rate": 8.740000000000001e-06,
425
+ "loss": 0.004,
426
+ "step": 1700
427
+ },
428
+ {
429
+ "epoch": 8.01,
430
+ "learning_rate": 8.713684210526316e-06,
431
+ "loss": 0.0041,
432
+ "step": 1725
433
+ },
434
+ {
435
+ "epoch": 8.02,
436
+ "learning_rate": 8.687368421052633e-06,
437
+ "loss": 0.0038,
438
+ "step": 1750
439
+ },
440
+ {
441
+ "epoch": 8.02,
442
+ "learning_rate": 8.661052631578948e-06,
443
+ "loss": 0.0041,
444
+ "step": 1775
445
+ },
446
+ {
447
+ "epoch": 8.02,
448
+ "learning_rate": 8.634736842105264e-06,
449
+ "loss": 0.003,
450
+ "step": 1800
451
+ },
452
+ {
453
+ "epoch": 9.0,
454
+ "learning_rate": 8.60842105263158e-06,
455
+ "loss": 0.0031,
456
+ "step": 1825
457
+ },
458
+ {
459
+ "epoch": 9.01,
460
+ "learning_rate": 8.582105263157894e-06,
461
+ "loss": 0.0037,
462
+ "step": 1850
463
+ },
464
+ {
465
+ "epoch": 9.01,
466
+ "learning_rate": 8.555789473684213e-06,
467
+ "loss": 0.0035,
468
+ "step": 1875
469
+ },
470
+ {
471
+ "epoch": 9.01,
472
+ "learning_rate": 8.529473684210528e-06,
473
+ "loss": 0.0027,
474
+ "step": 1900
475
+ },
476
+ {
477
+ "epoch": 9.01,
478
+ "learning_rate": 8.503157894736843e-06,
479
+ "loss": 0.0026,
480
+ "step": 1925
481
+ },
482
+ {
483
+ "epoch": 9.02,
484
+ "learning_rate": 8.47684210526316e-06,
485
+ "loss": 0.0032,
486
+ "step": 1950
487
+ },
488
+ {
489
+ "epoch": 9.02,
490
+ "learning_rate": 8.450526315789474e-06,
491
+ "loss": 0.0032,
492
+ "step": 1975
493
+ },
494
+ {
495
+ "epoch": 9.02,
496
+ "learning_rate": 8.42421052631579e-06,
497
+ "loss": 0.0027,
498
+ "step": 2000
499
+ },
500
+ {
501
+ "epoch": 9.02,
502
+ "eval_loss": 0.2399628460407257,
503
+ "eval_runtime": 1439.8654,
504
+ "eval_samples_per_second": 4.546,
505
+ "eval_steps_per_second": 0.142,
506
+ "eval_wer": 7.338231236203091,
507
+ "step": 2000
508
+ },
509
+ {
510
+ "epoch": 10.0,
511
+ "learning_rate": 8.397894736842106e-06,
512
+ "loss": 0.0048,
513
+ "step": 2025
514
+ },
515
+ {
516
+ "epoch": 10.01,
517
+ "learning_rate": 8.371578947368422e-06,
518
+ "loss": 0.0037,
519
+ "step": 2050
520
+ },
521
+ {
522
+ "epoch": 10.01,
523
+ "learning_rate": 8.345263157894737e-06,
524
+ "loss": 0.0038,
525
+ "step": 2075
526
+ },
527
+ {
528
+ "epoch": 10.01,
529
+ "learning_rate": 8.318947368421052e-06,
530
+ "loss": 0.0033,
531
+ "step": 2100
532
+ },
533
+ {
534
+ "epoch": 10.01,
535
+ "learning_rate": 8.292631578947369e-06,
536
+ "loss": 0.0025,
537
+ "step": 2125
538
+ },
539
+ {
540
+ "epoch": 10.02,
541
+ "learning_rate": 8.266315789473684e-06,
542
+ "loss": 0.0032,
543
+ "step": 2150
544
+ },
545
+ {
546
+ "epoch": 10.02,
547
+ "learning_rate": 8.24e-06,
548
+ "loss": 0.0024,
549
+ "step": 2175
550
+ },
551
+ {
552
+ "epoch": 10.02,
553
+ "learning_rate": 8.213684210526316e-06,
554
+ "loss": 0.0032,
555
+ "step": 2200
556
+ },
557
+ {
558
+ "epoch": 11.0,
559
+ "learning_rate": 8.187368421052632e-06,
560
+ "loss": 0.0032,
561
+ "step": 2225
562
+ },
563
+ {
564
+ "epoch": 11.01,
565
+ "learning_rate": 8.161052631578949e-06,
566
+ "loss": 0.0029,
567
+ "step": 2250
568
+ },
569
+ {
570
+ "epoch": 11.01,
571
+ "learning_rate": 8.134736842105264e-06,
572
+ "loss": 0.003,
573
+ "step": 2275
574
+ },
575
+ {
576
+ "epoch": 11.01,
577
+ "learning_rate": 8.10842105263158e-06,
578
+ "loss": 0.0023,
579
+ "step": 2300
580
+ },
581
+ {
582
+ "epoch": 11.01,
583
+ "learning_rate": 8.082105263157896e-06,
584
+ "loss": 0.0022,
585
+ "step": 2325
586
+ },
587
+ {
588
+ "epoch": 11.02,
589
+ "learning_rate": 8.05578947368421e-06,
590
+ "loss": 0.0029,
591
+ "step": 2350
592
+ },
593
+ {
594
+ "epoch": 11.02,
595
+ "learning_rate": 8.029473684210527e-06,
596
+ "loss": 0.0016,
597
+ "step": 2375
598
+ },
599
+ {
600
+ "epoch": 11.02,
601
+ "learning_rate": 8.003157894736842e-06,
602
+ "loss": 0.0033,
603
+ "step": 2400
604
+ },
605
+ {
606
+ "epoch": 12.0,
607
+ "learning_rate": 7.976842105263159e-06,
608
+ "loss": 0.0019,
609
+ "step": 2425
610
+ },
611
+ {
612
+ "epoch": 12.01,
613
+ "learning_rate": 7.950526315789474e-06,
614
+ "loss": 0.0022,
615
+ "step": 2450
616
+ },
617
+ {
618
+ "epoch": 12.01,
619
+ "learning_rate": 7.92421052631579e-06,
620
+ "loss": 0.0022,
621
+ "step": 2475
622
+ },
623
+ {
624
+ "epoch": 12.01,
625
+ "learning_rate": 7.897894736842106e-06,
626
+ "loss": 0.0018,
627
+ "step": 2500
628
+ },
629
+ {
630
+ "epoch": 12.01,
631
+ "learning_rate": 7.87157894736842e-06,
632
+ "loss": 0.0015,
633
+ "step": 2525
634
+ },
635
+ {
636
+ "epoch": 12.02,
637
+ "learning_rate": 7.845263157894739e-06,
638
+ "loss": 0.002,
639
+ "step": 2550
640
+ },
641
+ {
642
+ "epoch": 12.02,
643
+ "learning_rate": 7.818947368421054e-06,
644
+ "loss": 0.0038,
645
+ "step": 2575
646
+ },
647
+ {
648
+ "epoch": 12.02,
649
+ "learning_rate": 7.792631578947369e-06,
650
+ "loss": 0.0017,
651
+ "step": 2600
652
+ },
653
+ {
654
+ "epoch": 13.0,
655
+ "learning_rate": 7.766315789473685e-06,
656
+ "loss": 0.0023,
657
+ "step": 2625
658
+ },
659
+ {
660
+ "epoch": 13.01,
661
+ "learning_rate": 7.74e-06,
662
+ "loss": 0.003,
663
+ "step": 2650
664
+ },
665
+ {
666
+ "epoch": 13.01,
667
+ "learning_rate": 7.713684210526317e-06,
668
+ "loss": 0.0021,
669
+ "step": 2675
670
+ },
671
+ {
672
+ "epoch": 13.01,
673
+ "learning_rate": 7.687368421052632e-06,
674
+ "loss": 0.0021,
675
+ "step": 2700
676
+ },
677
+ {
678
+ "epoch": 13.01,
679
+ "learning_rate": 7.661052631578949e-06,
680
+ "loss": 0.0031,
681
+ "step": 2725
682
+ },
683
+ {
684
+ "epoch": 13.02,
685
+ "learning_rate": 7.634736842105264e-06,
686
+ "loss": 0.0022,
687
+ "step": 2750
688
+ },
689
+ {
690
+ "epoch": 13.02,
691
+ "learning_rate": 7.6084210526315795e-06,
692
+ "loss": 0.002,
693
+ "step": 2775
694
+ },
695
+ {
696
+ "epoch": 13.02,
697
+ "learning_rate": 7.582105263157895e-06,
698
+ "loss": 0.0014,
699
+ "step": 2800
700
+ },
701
+ {
702
+ "epoch": 14.0,
703
+ "learning_rate": 7.555789473684211e-06,
704
+ "loss": 0.0018,
705
+ "step": 2825
706
+ },
707
+ {
708
+ "epoch": 14.01,
709
+ "learning_rate": 7.529473684210526e-06,
710
+ "loss": 0.0019,
711
+ "step": 2850
712
+ },
713
+ {
714
+ "epoch": 14.01,
715
+ "learning_rate": 7.503157894736842e-06,
716
+ "loss": 0.0022,
717
+ "step": 2875
718
+ },
719
+ {
720
+ "epoch": 14.01,
721
+ "learning_rate": 7.476842105263159e-06,
722
+ "loss": 0.0018,
723
+ "step": 2900
724
+ },
725
+ {
726
+ "epoch": 14.01,
727
+ "learning_rate": 7.4505263157894744e-06,
728
+ "loss": 0.0024,
729
+ "step": 2925
730
+ },
731
+ {
732
+ "epoch": 14.02,
733
+ "learning_rate": 7.42421052631579e-06,
734
+ "loss": 0.0024,
735
+ "step": 2950
736
+ },
737
+ {
738
+ "epoch": 14.02,
739
+ "learning_rate": 7.397894736842106e-06,
740
+ "loss": 0.002,
741
+ "step": 2975
742
+ },
743
+ {
744
+ "epoch": 14.02,
745
+ "learning_rate": 7.371578947368422e-06,
746
+ "loss": 0.0019,
747
+ "step": 3000
748
+ },
749
+ {
750
+ "epoch": 14.02,
751
+ "eval_loss": 0.242582768201828,
752
+ "eval_runtime": 1448.2754,
753
+ "eval_samples_per_second": 4.52,
754
+ "eval_steps_per_second": 0.142,
755
+ "eval_wer": 7.405491169977925,
756
+ "step": 3000
757
+ },
758
+ {
759
+ "epoch": 15.0,
760
+ "learning_rate": 7.345263157894738e-06,
761
+ "loss": 0.0016,
762
+ "step": 3025
763
+ },
764
+ {
765
+ "epoch": 15.01,
766
+ "learning_rate": 7.3189473684210535e-06,
767
+ "loss": 0.0028,
768
+ "step": 3050
769
+ },
770
+ {
771
+ "epoch": 15.01,
772
+ "learning_rate": 7.292631578947369e-06,
773
+ "loss": 0.0023,
774
+ "step": 3075
775
+ },
776
+ {
777
+ "epoch": 15.01,
778
+ "learning_rate": 7.266315789473684e-06,
779
+ "loss": 0.0018,
780
+ "step": 3100
781
+ },
782
+ {
783
+ "epoch": 15.01,
784
+ "learning_rate": 7.24e-06,
785
+ "loss": 0.002,
786
+ "step": 3125
787
+ },
788
+ {
789
+ "epoch": 15.02,
790
+ "learning_rate": 7.213684210526316e-06,
791
+ "loss": 0.0026,
792
+ "step": 3150
793
+ },
794
+ {
795
+ "epoch": 15.02,
796
+ "learning_rate": 7.187368421052632e-06,
797
+ "loss": 0.0013,
798
+ "step": 3175
799
+ },
800
+ {
801
+ "epoch": 15.02,
802
+ "learning_rate": 7.161052631578948e-06,
803
+ "loss": 0.0012,
804
+ "step": 3200
805
+ },
806
+ {
807
+ "epoch": 16.0,
808
+ "learning_rate": 7.134736842105264e-06,
809
+ "loss": 0.0015,
810
+ "step": 3225
811
+ },
812
+ {
813
+ "epoch": 16.0,
814
+ "learning_rate": 7.10842105263158e-06,
815
+ "loss": 0.0015,
816
+ "step": 3250
817
+ },
818
+ {
819
+ "epoch": 16.01,
820
+ "learning_rate": 7.082105263157896e-06,
821
+ "loss": 0.0008,
822
+ "step": 3275
823
+ },
824
+ {
825
+ "epoch": 16.01,
826
+ "learning_rate": 7.055789473684212e-06,
827
+ "loss": 0.0017,
828
+ "step": 3300
829
+ },
830
+ {
831
+ "epoch": 16.01,
832
+ "learning_rate": 7.0294736842105275e-06,
833
+ "loss": 0.002,
834
+ "step": 3325
835
+ },
836
+ {
837
+ "epoch": 16.02,
838
+ "learning_rate": 7.0031578947368425e-06,
839
+ "loss": 0.001,
840
+ "step": 3350
841
+ },
842
+ {
843
+ "epoch": 16.02,
844
+ "learning_rate": 6.976842105263158e-06,
845
+ "loss": 0.0011,
846
+ "step": 3375
847
+ },
848
+ {
849
+ "epoch": 16.02,
850
+ "learning_rate": 6.950526315789474e-06,
851
+ "loss": 0.0009,
852
+ "step": 3400
853
+ },
854
+ {
855
+ "epoch": 17.0,
856
+ "learning_rate": 6.92421052631579e-06,
857
+ "loss": 0.0012,
858
+ "step": 3425
859
+ },
860
+ {
861
+ "epoch": 17.0,
862
+ "learning_rate": 6.897894736842106e-06,
863
+ "loss": 0.0016,
864
+ "step": 3450
865
+ },
866
+ {
867
+ "epoch": 17.01,
868
+ "learning_rate": 6.871578947368422e-06,
869
+ "loss": 0.0016,
870
+ "step": 3475
871
+ },
872
+ {
873
+ "epoch": 17.01,
874
+ "learning_rate": 6.845263157894737e-06,
875
+ "loss": 0.0017,
876
+ "step": 3500
877
+ },
878
+ {
879
+ "epoch": 17.01,
880
+ "learning_rate": 6.818947368421052e-06,
881
+ "loss": 0.0015,
882
+ "step": 3525
883
+ },
884
+ {
885
+ "epoch": 17.02,
886
+ "learning_rate": 6.792631578947368e-06,
887
+ "loss": 0.001,
888
+ "step": 3550
889
+ },
890
+ {
891
+ "epoch": 17.02,
892
+ "learning_rate": 6.766315789473685e-06,
893
+ "loss": 0.0012,
894
+ "step": 3575
895
+ },
896
+ {
897
+ "epoch": 17.02,
898
+ "learning_rate": 6.740000000000001e-06,
899
+ "loss": 0.0016,
900
+ "step": 3600
901
+ },
902
+ {
903
+ "epoch": 18.0,
904
+ "learning_rate": 6.7136842105263165e-06,
905
+ "loss": 0.0019,
906
+ "step": 3625
907
+ },
908
+ {
909
+ "epoch": 18.0,
910
+ "learning_rate": 6.687368421052632e-06,
911
+ "loss": 0.0015,
912
+ "step": 3650
913
+ },
914
+ {
915
+ "epoch": 18.01,
916
+ "learning_rate": 6.661052631578948e-06,
917
+ "loss": 0.0019,
918
+ "step": 3675
919
+ },
920
+ {
921
+ "epoch": 18.01,
922
+ "learning_rate": 6.634736842105264e-06,
923
+ "loss": 0.0011,
924
+ "step": 3700
925
+ },
926
+ {
927
+ "epoch": 18.01,
928
+ "learning_rate": 6.60842105263158e-06,
929
+ "loss": 0.0007,
930
+ "step": 3725
931
+ },
932
+ {
933
+ "epoch": 18.02,
934
+ "learning_rate": 6.582105263157896e-06,
935
+ "loss": 0.001,
936
+ "step": 3750
937
+ },
938
+ {
939
+ "epoch": 18.02,
940
+ "learning_rate": 6.5557894736842106e-06,
941
+ "loss": 0.0013,
942
+ "step": 3775
943
+ },
944
+ {
945
+ "epoch": 18.02,
946
+ "learning_rate": 6.529473684210526e-06,
947
+ "loss": 0.0014,
948
+ "step": 3800
949
+ },
950
+ {
951
+ "epoch": 19.0,
952
+ "learning_rate": 6.503157894736842e-06,
953
+ "loss": 0.0026,
954
+ "step": 3825
955
+ },
956
+ {
957
+ "epoch": 19.0,
958
+ "learning_rate": 6.476842105263158e-06,
959
+ "loss": 0.001,
960
+ "step": 3850
961
+ },
962
+ {
963
+ "epoch": 19.01,
964
+ "learning_rate": 6.450526315789474e-06,
965
+ "loss": 0.0011,
966
+ "step": 3875
967
+ },
968
+ {
969
+ "epoch": 19.01,
970
+ "learning_rate": 6.42421052631579e-06,
971
+ "loss": 0.0011,
972
+ "step": 3900
973
+ },
974
+ {
975
+ "epoch": 19.01,
976
+ "learning_rate": 6.397894736842106e-06,
977
+ "loss": 0.0007,
978
+ "step": 3925
979
+ },
980
+ {
981
+ "epoch": 19.02,
982
+ "learning_rate": 6.371578947368422e-06,
983
+ "loss": 0.0006,
984
+ "step": 3950
985
+ },
986
+ {
987
+ "epoch": 19.02,
988
+ "learning_rate": 6.345263157894738e-06,
989
+ "loss": 0.0006,
990
+ "step": 3975
991
+ },
992
+ {
993
+ "epoch": 19.02,
994
+ "learning_rate": 6.318947368421054e-06,
995
+ "loss": 0.0011,
996
+ "step": 4000
997
+ },
998
+ {
999
+ "epoch": 19.02,
1000
+ "eval_loss": 0.2689194083213806,
1001
+ "eval_runtime": 1460.1887,
1002
+ "eval_samples_per_second": 4.483,
1003
+ "eval_steps_per_second": 0.14,
1004
+ "eval_wer": 7.352028145695365,
1005
+ "step": 4000
1006
+ },
1007
+ {
1008
+ "epoch": 20.0,
1009
+ "learning_rate": 6.292631578947369e-06,
1010
+ "loss": 0.0007,
1011
+ "step": 4025
1012
+ },
1013
+ {
1014
+ "epoch": 20.0,
1015
+ "learning_rate": 6.266315789473685e-06,
1016
+ "loss": 0.0021,
1017
+ "step": 4050
1018
+ },
1019
+ {
1020
+ "epoch": 20.01,
1021
+ "learning_rate": 6.24e-06,
1022
+ "loss": 0.0009,
1023
+ "step": 4075
1024
+ },
1025
+ {
1026
+ "epoch": 20.01,
1027
+ "learning_rate": 6.213684210526316e-06,
1028
+ "loss": 0.0013,
1029
+ "step": 4100
1030
+ },
1031
+ {
1032
+ "epoch": 20.01,
1033
+ "learning_rate": 6.187368421052632e-06,
1034
+ "loss": 0.0012,
1035
+ "step": 4125
1036
+ },
1037
+ {
1038
+ "epoch": 20.02,
1039
+ "learning_rate": 6.161052631578948e-06,
1040
+ "loss": 0.0007,
1041
+ "step": 4150
1042
+ },
1043
+ {
1044
+ "epoch": 20.02,
1045
+ "learning_rate": 6.134736842105264e-06,
1046
+ "loss": 0.0012,
1047
+ "step": 4175
1048
+ },
1049
+ {
1050
+ "epoch": 20.02,
1051
+ "learning_rate": 6.108421052631579e-06,
1052
+ "loss": 0.0008,
1053
+ "step": 4200
1054
+ },
1055
+ {
1056
+ "epoch": 21.0,
1057
+ "learning_rate": 6.0821052631578945e-06,
1058
+ "loss": 0.0008,
1059
+ "step": 4225
1060
+ },
1061
+ {
1062
+ "epoch": 21.0,
1063
+ "learning_rate": 6.055789473684212e-06,
1064
+ "loss": 0.0015,
1065
+ "step": 4250
1066
+ },
1067
+ {
1068
+ "epoch": 21.01,
1069
+ "learning_rate": 6.029473684210527e-06,
1070
+ "loss": 0.0013,
1071
+ "step": 4275
1072
+ },
1073
+ {
1074
+ "epoch": 21.01,
1075
+ "learning_rate": 6.003157894736843e-06,
1076
+ "loss": 0.0011,
1077
+ "step": 4300
1078
+ },
1079
+ {
1080
+ "epoch": 21.01,
1081
+ "learning_rate": 5.976842105263159e-06,
1082
+ "loss": 0.0006,
1083
+ "step": 4325
1084
+ },
1085
+ {
1086
+ "epoch": 21.02,
1087
+ "learning_rate": 5.950526315789474e-06,
1088
+ "loss": 0.0015,
1089
+ "step": 4350
1090
+ },
1091
+ {
1092
+ "epoch": 21.02,
1093
+ "learning_rate": 5.92421052631579e-06,
1094
+ "loss": 0.0006,
1095
+ "step": 4375
1096
+ },
1097
+ {
1098
+ "epoch": 21.02,
1099
+ "learning_rate": 5.897894736842106e-06,
1100
+ "loss": 0.0009,
1101
+ "step": 4400
1102
+ },
1103
+ {
1104
+ "epoch": 22.0,
1105
+ "learning_rate": 5.871578947368422e-06,
1106
+ "loss": 0.0008,
1107
+ "step": 4425
1108
+ },
1109
+ {
1110
+ "epoch": 22.0,
1111
+ "learning_rate": 5.845263157894737e-06,
1112
+ "loss": 0.0012,
1113
+ "step": 4450
1114
+ },
1115
+ {
1116
+ "epoch": 22.01,
1117
+ "learning_rate": 5.818947368421053e-06,
1118
+ "loss": 0.0007,
1119
+ "step": 4475
1120
+ },
1121
+ {
1122
+ "epoch": 22.01,
1123
+ "learning_rate": 5.7926315789473685e-06,
1124
+ "loss": 0.0008,
1125
+ "step": 4500
1126
+ },
1127
+ {
1128
+ "epoch": 22.01,
1129
+ "learning_rate": 5.766315789473684e-06,
1130
+ "loss": 0.0008,
1131
+ "step": 4525
1132
+ },
1133
+ {
1134
+ "epoch": 22.02,
1135
+ "learning_rate": 5.74e-06,
1136
+ "loss": 0.0006,
1137
+ "step": 4550
1138
+ },
1139
+ {
1140
+ "epoch": 22.02,
1141
+ "learning_rate": 5.713684210526316e-06,
1142
+ "loss": 0.0007,
1143
+ "step": 4575
1144
+ },
1145
+ {
1146
+ "epoch": 22.02,
1147
+ "learning_rate": 5.687368421052633e-06,
1148
+ "loss": 0.001,
1149
+ "step": 4600
1150
+ },
1151
+ {
1152
+ "epoch": 23.0,
1153
+ "learning_rate": 5.661052631578948e-06,
1154
+ "loss": 0.0008,
1155
+ "step": 4625
1156
+ },
1157
+ {
1158
+ "epoch": 23.0,
1159
+ "learning_rate": 5.634736842105264e-06,
1160
+ "loss": 0.0011,
1161
+ "step": 4650
1162
+ },
1163
+ {
1164
+ "epoch": 23.01,
1165
+ "learning_rate": 5.60842105263158e-06,
1166
+ "loss": 0.0013,
1167
+ "step": 4675
1168
+ },
1169
+ {
1170
+ "epoch": 23.01,
1171
+ "learning_rate": 5.582105263157895e-06,
1172
+ "loss": 0.0014,
1173
+ "step": 4700
1174
+ },
1175
+ {
1176
+ "epoch": 23.01,
1177
+ "learning_rate": 5.555789473684211e-06,
1178
+ "loss": 0.0009,
1179
+ "step": 4725
1180
+ },
1181
+ {
1182
+ "epoch": 23.02,
1183
+ "learning_rate": 5.529473684210527e-06,
1184
+ "loss": 0.0012,
1185
+ "step": 4750
1186
+ },
1187
+ {
1188
+ "epoch": 23.02,
1189
+ "learning_rate": 5.5031578947368425e-06,
1190
+ "loss": 0.0009,
1191
+ "step": 4775
1192
+ },
1193
+ {
1194
+ "epoch": 23.02,
1195
+ "learning_rate": 5.476842105263158e-06,
1196
+ "loss": 0.0006,
1197
+ "step": 4800
1198
+ },
1199
+ {
1200
+ "epoch": 24.0,
1201
+ "learning_rate": 5.450526315789474e-06,
1202
+ "loss": 0.0008,
1203
+ "step": 4825
1204
+ },
1205
+ {
1206
+ "epoch": 24.0,
1207
+ "learning_rate": 5.42421052631579e-06,
1208
+ "loss": 0.0015,
1209
+ "step": 4850
1210
+ },
1211
+ {
1212
+ "epoch": 24.01,
1213
+ "learning_rate": 5.397894736842105e-06,
1214
+ "loss": 0.0008,
1215
+ "step": 4875
1216
+ },
1217
+ {
1218
+ "epoch": 24.01,
1219
+ "learning_rate": 5.371578947368421e-06,
1220
+ "loss": 0.0003,
1221
+ "step": 4900
1222
+ },
1223
+ {
1224
+ "epoch": 24.01,
1225
+ "learning_rate": 5.345263157894738e-06,
1226
+ "loss": 0.0005,
1227
+ "step": 4925
1228
+ },
1229
+ {
1230
+ "epoch": 24.02,
1231
+ "learning_rate": 5.318947368421053e-06,
1232
+ "loss": 0.0005,
1233
+ "step": 4950
1234
+ },
1235
+ {
1236
+ "epoch": 24.02,
1237
+ "learning_rate": 5.292631578947369e-06,
1238
+ "loss": 0.0015,
1239
+ "step": 4975
1240
+ },
1241
+ {
1242
+ "epoch": 24.02,
1243
+ "learning_rate": 5.266315789473685e-06,
1244
+ "loss": 0.0014,
1245
+ "step": 5000
1246
+ },
1247
+ {
1248
+ "epoch": 24.02,
1249
+ "eval_loss": 0.2848970890045166,
1250
+ "eval_runtime": 1475.3105,
1251
+ "eval_samples_per_second": 4.437,
1252
+ "eval_steps_per_second": 0.139,
1253
+ "eval_wer": 7.531387969094923,
1254
+ "step": 5000
1255
+ },
1256
+ {
1257
+ "epoch": 25.0,
1258
+ "learning_rate": 5.240000000000001e-06,
1259
+ "loss": 0.0008,
1260
+ "step": 5025
1261
+ },
1262
+ {
1263
+ "epoch": 25.0,
1264
+ "learning_rate": 5.2136842105263165e-06,
1265
+ "loss": 0.0008,
1266
+ "step": 5050
1267
+ },
1268
+ {
1269
+ "epoch": 25.01,
1270
+ "learning_rate": 5.187368421052632e-06,
1271
+ "loss": 0.0019,
1272
+ "step": 5075
1273
+ },
1274
+ {
1275
+ "epoch": 25.01,
1276
+ "learning_rate": 5.161052631578948e-06,
1277
+ "loss": 0.0009,
1278
+ "step": 5100
1279
+ },
1280
+ {
1281
+ "epoch": 25.01,
1282
+ "learning_rate": 5.134736842105263e-06,
1283
+ "loss": 0.0015,
1284
+ "step": 5125
1285
+ },
1286
+ {
1287
+ "epoch": 25.02,
1288
+ "learning_rate": 5.108421052631579e-06,
1289
+ "loss": 0.0006,
1290
+ "step": 5150
1291
+ },
1292
+ {
1293
+ "epoch": 25.02,
1294
+ "learning_rate": 5.082105263157895e-06,
1295
+ "loss": 0.001,
1296
+ "step": 5175
1297
+ },
1298
+ {
1299
+ "epoch": 25.02,
1300
+ "learning_rate": 5.0557894736842105e-06,
1301
+ "loss": 0.0006,
1302
+ "step": 5200
1303
+ },
1304
+ {
1305
+ "epoch": 26.0,
1306
+ "learning_rate": 5.029473684210526e-06,
1307
+ "loss": 0.0007,
1308
+ "step": 5225
1309
+ },
1310
+ {
1311
+ "epoch": 26.0,
1312
+ "learning_rate": 5.003157894736842e-06,
1313
+ "loss": 0.0012,
1314
+ "step": 5250
1315
+ },
1316
+ {
1317
+ "epoch": 26.01,
1318
+ "learning_rate": 4.976842105263158e-06,
1319
+ "loss": 0.0013,
1320
+ "step": 5275
1321
+ },
1322
+ {
1323
+ "epoch": 26.01,
1324
+ "learning_rate": 4.950526315789474e-06,
1325
+ "loss": 0.0009,
1326
+ "step": 5300
1327
+ },
1328
+ {
1329
+ "epoch": 26.01,
1330
+ "learning_rate": 4.92421052631579e-06,
1331
+ "loss": 0.0005,
1332
+ "step": 5325
1333
+ },
1334
+ {
1335
+ "epoch": 26.02,
1336
+ "learning_rate": 4.897894736842106e-06,
1337
+ "loss": 0.0006,
1338
+ "step": 5350
1339
+ },
1340
+ {
1341
+ "epoch": 26.02,
1342
+ "learning_rate": 4.871578947368421e-06,
1343
+ "loss": 0.0007,
1344
+ "step": 5375
1345
+ },
1346
+ {
1347
+ "epoch": 26.02,
1348
+ "learning_rate": 4.845263157894737e-06,
1349
+ "loss": 0.0007,
1350
+ "step": 5400
1351
+ },
1352
+ {
1353
+ "epoch": 27.0,
1354
+ "learning_rate": 4.818947368421053e-06,
1355
+ "loss": 0.0005,
1356
+ "step": 5425
1357
+ },
1358
+ {
1359
+ "epoch": 27.0,
1360
+ "learning_rate": 4.792631578947369e-06,
1361
+ "loss": 0.0012,
1362
+ "step": 5450
1363
+ },
1364
+ {
1365
+ "epoch": 27.01,
1366
+ "learning_rate": 4.7663157894736845e-06,
1367
+ "loss": 0.0008,
1368
+ "step": 5475
1369
+ },
1370
+ {
1371
+ "epoch": 27.01,
1372
+ "learning_rate": 4.74e-06,
1373
+ "loss": 0.0007,
1374
+ "step": 5500
1375
+ },
1376
+ {
1377
+ "epoch": 27.01,
1378
+ "learning_rate": 4.713684210526316e-06,
1379
+ "loss": 0.0009,
1380
+ "step": 5525
1381
+ },
1382
+ {
1383
+ "epoch": 27.02,
1384
+ "learning_rate": 4.687368421052632e-06,
1385
+ "loss": 0.0009,
1386
+ "step": 5550
1387
+ },
1388
+ {
1389
+ "epoch": 27.02,
1390
+ "learning_rate": 4.661052631578948e-06,
1391
+ "loss": 0.0004,
1392
+ "step": 5575
1393
+ },
1394
+ {
1395
+ "epoch": 27.02,
1396
+ "learning_rate": 4.634736842105264e-06,
1397
+ "loss": 0.001,
1398
+ "step": 5600
1399
+ },
1400
+ {
1401
+ "epoch": 28.0,
1402
+ "learning_rate": 4.6084210526315794e-06,
1403
+ "loss": 0.0004,
1404
+ "step": 5625
1405
+ },
1406
+ {
1407
+ "epoch": 28.0,
1408
+ "learning_rate": 4.582105263157895e-06,
1409
+ "loss": 0.0004,
1410
+ "step": 5650
1411
+ },
1412
+ {
1413
+ "epoch": 28.01,
1414
+ "learning_rate": 4.55578947368421e-06,
1415
+ "loss": 0.0003,
1416
+ "step": 5675
1417
+ },
1418
+ {
1419
+ "epoch": 28.01,
1420
+ "learning_rate": 4.529473684210527e-06,
1421
+ "loss": 0.0004,
1422
+ "step": 5700
1423
+ },
1424
+ {
1425
+ "epoch": 28.01,
1426
+ "learning_rate": 4.503157894736843e-06,
1427
+ "loss": 0.0006,
1428
+ "step": 5725
1429
+ },
1430
+ {
1431
+ "epoch": 28.02,
1432
+ "learning_rate": 4.4768421052631585e-06,
1433
+ "loss": 0.0004,
1434
+ "step": 5750
1435
+ },
1436
+ {
1437
+ "epoch": 28.02,
1438
+ "learning_rate": 4.450526315789474e-06,
1439
+ "loss": 0.0003,
1440
+ "step": 5775
1441
+ },
1442
+ {
1443
+ "epoch": 28.02,
1444
+ "learning_rate": 4.424210526315789e-06,
1445
+ "loss": 0.0003,
1446
+ "step": 5800
1447
+ },
1448
+ {
1449
+ "epoch": 29.0,
1450
+ "learning_rate": 4.397894736842105e-06,
1451
+ "loss": 0.0002,
1452
+ "step": 5825
1453
+ },
1454
+ {
1455
+ "epoch": 29.0,
1456
+ "learning_rate": 4.371578947368421e-06,
1457
+ "loss": 0.0002,
1458
+ "step": 5850
1459
+ },
1460
+ {
1461
+ "epoch": 29.01,
1462
+ "learning_rate": 4.345263157894738e-06,
1463
+ "loss": 0.0002,
1464
+ "step": 5875
1465
+ },
1466
+ {
1467
+ "epoch": 29.01,
1468
+ "learning_rate": 4.3189473684210535e-06,
1469
+ "loss": 0.0002,
1470
+ "step": 5900
1471
+ },
1472
+ {
1473
+ "epoch": 29.01,
1474
+ "learning_rate": 4.2926315789473684e-06,
1475
+ "loss": 0.0002,
1476
+ "step": 5925
1477
+ },
1478
+ {
1479
+ "epoch": 29.02,
1480
+ "learning_rate": 4.266315789473684e-06,
1481
+ "loss": 0.0002,
1482
+ "step": 5950
1483
+ },
1484
+ {
1485
+ "epoch": 29.02,
1486
+ "learning_rate": 4.24e-06,
1487
+ "loss": 0.0003,
1488
+ "step": 5975
1489
+ },
1490
+ {
1491
+ "epoch": 29.02,
1492
+ "learning_rate": 4.213684210526316e-06,
1493
+ "loss": 0.0004,
1494
+ "step": 6000
1495
+ },
1496
+ {
1497
+ "epoch": 29.02,
1498
+ "eval_loss": 0.2931840717792511,
1499
+ "eval_runtime": 1500.3562,
1500
+ "eval_samples_per_second": 4.363,
1501
+ "eval_steps_per_second": 0.137,
1502
+ "eval_wer": 7.258899006622517,
1503
+ "step": 6000
1504
+ },
1505
+ {
1506
+ "epoch": 30.0,
1507
+ "learning_rate": 4.1873684210526325e-06,
1508
+ "loss": 0.0002,
1509
+ "step": 6025
1510
+ },
1511
+ {
1512
+ "epoch": 30.0,
1513
+ "learning_rate": 4.1610526315789475e-06,
1514
+ "loss": 0.0002,
1515
+ "step": 6050
1516
+ },
1517
+ {
1518
+ "epoch": 30.01,
1519
+ "learning_rate": 4.134736842105263e-06,
1520
+ "loss": 0.0002,
1521
+ "step": 6075
1522
+ },
1523
+ {
1524
+ "epoch": 30.01,
1525
+ "learning_rate": 4.108421052631579e-06,
1526
+ "loss": 0.0002,
1527
+ "step": 6100
1528
+ },
1529
+ {
1530
+ "epoch": 30.01,
1531
+ "learning_rate": 4.082105263157895e-06,
1532
+ "loss": 0.0002,
1533
+ "step": 6125
1534
+ },
1535
+ {
1536
+ "epoch": 30.02,
1537
+ "learning_rate": 4.055789473684211e-06,
1538
+ "loss": 0.0002,
1539
+ "step": 6150
1540
+ },
1541
+ {
1542
+ "epoch": 30.02,
1543
+ "learning_rate": 4.029473684210527e-06,
1544
+ "loss": 0.0002,
1545
+ "step": 6175
1546
+ },
1547
+ {
1548
+ "epoch": 30.02,
1549
+ "learning_rate": 4.0031578947368424e-06,
1550
+ "loss": 0.0002,
1551
+ "step": 6200
1552
+ },
1553
+ {
1554
+ "epoch": 31.0,
1555
+ "learning_rate": 3.976842105263158e-06,
1556
+ "loss": 0.0002,
1557
+ "step": 6225
1558
+ },
1559
+ {
1560
+ "epoch": 31.0,
1561
+ "learning_rate": 3.950526315789474e-06,
1562
+ "loss": 0.0002,
1563
+ "step": 6250
1564
+ },
1565
+ {
1566
+ "epoch": 31.01,
1567
+ "learning_rate": 3.92421052631579e-06,
1568
+ "loss": 0.0002,
1569
+ "step": 6275
1570
+ },
1571
+ {
1572
+ "epoch": 31.01,
1573
+ "learning_rate": 3.897894736842106e-06,
1574
+ "loss": 0.0001,
1575
+ "step": 6300
1576
+ },
1577
+ {
1578
+ "epoch": 31.01,
1579
+ "learning_rate": 3.8715789473684215e-06,
1580
+ "loss": 0.0001,
1581
+ "step": 6325
1582
+ },
1583
+ {
1584
+ "epoch": 31.02,
1585
+ "learning_rate": 3.845263157894737e-06,
1586
+ "loss": 0.0001,
1587
+ "step": 6350
1588
+ },
1589
+ {
1590
+ "epoch": 31.02,
1591
+ "learning_rate": 3.818947368421053e-06,
1592
+ "loss": 0.0001,
1593
+ "step": 6375
1594
+ },
1595
+ {
1596
+ "epoch": 31.02,
1597
+ "learning_rate": 3.792631578947369e-06,
1598
+ "loss": 0.0001,
1599
+ "step": 6400
1600
+ },
1601
+ {
1602
+ "epoch": 32.0,
1603
+ "learning_rate": 3.766315789473685e-06,
1604
+ "loss": 0.0001,
1605
+ "step": 6425
1606
+ },
1607
+ {
1608
+ "epoch": 32.01,
1609
+ "learning_rate": 3.74e-06,
1610
+ "loss": 0.0003,
1611
+ "step": 6450
1612
+ },
1613
+ {
1614
+ "epoch": 32.01,
1615
+ "learning_rate": 3.713684210526316e-06,
1616
+ "loss": 0.0001,
1617
+ "step": 6475
1618
+ },
1619
+ {
1620
+ "epoch": 32.01,
1621
+ "learning_rate": 3.687368421052632e-06,
1622
+ "loss": 0.0001,
1623
+ "step": 6500
1624
+ },
1625
+ {
1626
+ "epoch": 32.01,
1627
+ "learning_rate": 3.6610526315789472e-06,
1628
+ "loss": 0.0001,
1629
+ "step": 6525
1630
+ },
1631
+ {
1632
+ "epoch": 32.02,
1633
+ "learning_rate": 3.6347368421052635e-06,
1634
+ "loss": 0.0001,
1635
+ "step": 6550
1636
+ },
1637
+ {
1638
+ "epoch": 32.02,
1639
+ "learning_rate": 3.6084210526315793e-06,
1640
+ "loss": 0.0001,
1641
+ "step": 6575
1642
+ },
1643
+ {
1644
+ "epoch": 32.02,
1645
+ "learning_rate": 3.582105263157895e-06,
1646
+ "loss": 0.0001,
1647
+ "step": 6600
1648
+ },
1649
+ {
1650
+ "epoch": 33.0,
1651
+ "learning_rate": 3.555789473684211e-06,
1652
+ "loss": 0.0001,
1653
+ "step": 6625
1654
+ },
1655
+ {
1656
+ "epoch": 33.01,
1657
+ "learning_rate": 3.5294736842105263e-06,
1658
+ "loss": 0.0002,
1659
+ "step": 6650
1660
+ },
1661
+ {
1662
+ "epoch": 33.01,
1663
+ "learning_rate": 3.503157894736842e-06,
1664
+ "loss": 0.0001,
1665
+ "step": 6675
1666
+ },
1667
+ {
1668
+ "epoch": 33.01,
1669
+ "learning_rate": 3.476842105263158e-06,
1670
+ "loss": 0.0001,
1671
+ "step": 6700
1672
+ },
1673
+ {
1674
+ "epoch": 33.01,
1675
+ "learning_rate": 3.450526315789474e-06,
1676
+ "loss": 0.0001,
1677
+ "step": 6725
1678
+ },
1679
+ {
1680
+ "epoch": 33.02,
1681
+ "learning_rate": 3.42421052631579e-06,
1682
+ "loss": 0.0001,
1683
+ "step": 6750
1684
+ },
1685
+ {
1686
+ "epoch": 33.02,
1687
+ "learning_rate": 3.3978947368421054e-06,
1688
+ "loss": 0.0001,
1689
+ "step": 6775
1690
+ },
1691
+ {
1692
+ "epoch": 33.02,
1693
+ "learning_rate": 3.3715789473684212e-06,
1694
+ "loss": 0.0001,
1695
+ "step": 6800
1696
+ },
1697
+ {
1698
+ "epoch": 34.0,
1699
+ "learning_rate": 3.345263157894737e-06,
1700
+ "loss": 0.0001,
1701
+ "step": 6825
1702
+ },
1703
+ {
1704
+ "epoch": 34.01,
1705
+ "learning_rate": 3.318947368421053e-06,
1706
+ "loss": 0.0001,
1707
+ "step": 6850
1708
+ },
1709
+ {
1710
+ "epoch": 34.01,
1711
+ "learning_rate": 3.292631578947369e-06,
1712
+ "loss": 0.0001,
1713
+ "step": 6875
1714
+ },
1715
+ {
1716
+ "epoch": 34.01,
1717
+ "learning_rate": 3.2663157894736845e-06,
1718
+ "loss": 0.0001,
1719
+ "step": 6900
1720
+ },
1721
+ {
1722
+ "epoch": 34.01,
1723
+ "learning_rate": 3.2400000000000003e-06,
1724
+ "loss": 0.0001,
1725
+ "step": 6925
1726
+ },
1727
+ {
1728
+ "epoch": 34.02,
1729
+ "learning_rate": 3.213684210526316e-06,
1730
+ "loss": 0.0001,
1731
+ "step": 6950
1732
+ },
1733
+ {
1734
+ "epoch": 34.02,
1735
+ "learning_rate": 3.187368421052632e-06,
1736
+ "loss": 0.0001,
1737
+ "step": 6975
1738
+ },
1739
+ {
1740
+ "epoch": 34.02,
1741
+ "learning_rate": 3.1610526315789474e-06,
1742
+ "loss": 0.0001,
1743
+ "step": 7000
1744
+ },
1745
+ {
1746
+ "epoch": 34.02,
1747
+ "eval_loss": 0.30692604184150696,
1748
+ "eval_runtime": 1437.4075,
1749
+ "eval_samples_per_second": 4.554,
1750
+ "eval_steps_per_second": 0.143,
1751
+ "eval_wer": 7.148523730684326,
1752
+ "step": 7000
1753
+ },
1754
+ {
1755
+ "epoch": 35.0,
1756
+ "learning_rate": 3.134736842105263e-06,
1757
+ "loss": 0.0001,
1758
+ "step": 7025
1759
+ },
1760
+ {
1761
+ "epoch": 35.01,
1762
+ "learning_rate": 3.1084210526315794e-06,
1763
+ "loss": 0.0001,
1764
+ "step": 7050
1765
+ },
1766
+ {
1767
+ "epoch": 35.01,
1768
+ "learning_rate": 3.0821052631578952e-06,
1769
+ "loss": 0.0001,
1770
+ "step": 7075
1771
+ },
1772
+ {
1773
+ "epoch": 35.01,
1774
+ "learning_rate": 3.055789473684211e-06,
1775
+ "loss": 0.0001,
1776
+ "step": 7100
1777
+ },
1778
+ {
1779
+ "epoch": 35.01,
1780
+ "learning_rate": 3.0294736842105264e-06,
1781
+ "loss": 0.0001,
1782
+ "step": 7125
1783
+ },
1784
+ {
1785
+ "epoch": 35.02,
1786
+ "learning_rate": 3.0031578947368423e-06,
1787
+ "loss": 0.0001,
1788
+ "step": 7150
1789
+ },
1790
+ {
1791
+ "epoch": 35.02,
1792
+ "learning_rate": 2.976842105263158e-06,
1793
+ "loss": 0.0001,
1794
+ "step": 7175
1795
+ },
1796
+ {
1797
+ "epoch": 35.02,
1798
+ "learning_rate": 2.9505263157894735e-06,
1799
+ "loss": 0.0001,
1800
+ "step": 7200
1801
+ },
1802
+ {
1803
+ "epoch": 36.0,
1804
+ "learning_rate": 2.92421052631579e-06,
1805
+ "loss": 0.0001,
1806
+ "step": 7225
1807
+ },
1808
+ {
1809
+ "epoch": 36.01,
1810
+ "learning_rate": 2.8978947368421055e-06,
1811
+ "loss": 0.0001,
1812
+ "step": 7250
1813
+ },
1814
+ {
1815
+ "epoch": 36.01,
1816
+ "learning_rate": 2.8715789473684214e-06,
1817
+ "loss": 0.0001,
1818
+ "step": 7275
1819
+ },
1820
+ {
1821
+ "epoch": 36.01,
1822
+ "learning_rate": 2.845263157894737e-06,
1823
+ "loss": 0.0001,
1824
+ "step": 7300
1825
+ },
1826
+ {
1827
+ "epoch": 36.01,
1828
+ "learning_rate": 2.8189473684210526e-06,
1829
+ "loss": 0.0001,
1830
+ "step": 7325
1831
+ },
1832
+ {
1833
+ "epoch": 36.02,
1834
+ "learning_rate": 2.7926315789473684e-06,
1835
+ "loss": 0.0001,
1836
+ "step": 7350
1837
+ },
1838
+ {
1839
+ "epoch": 36.02,
1840
+ "learning_rate": 2.766315789473684e-06,
1841
+ "loss": 0.0001,
1842
+ "step": 7375
1843
+ },
1844
+ {
1845
+ "epoch": 36.02,
1846
+ "learning_rate": 2.7400000000000004e-06,
1847
+ "loss": 0.0001,
1848
+ "step": 7400
1849
+ },
1850
+ {
1851
+ "epoch": 37.0,
1852
+ "learning_rate": 2.7136842105263163e-06,
1853
+ "loss": 0.0001,
1854
+ "step": 7425
1855
+ },
1856
+ {
1857
+ "epoch": 37.01,
1858
+ "learning_rate": 2.6873684210526317e-06,
1859
+ "loss": 0.0001,
1860
+ "step": 7450
1861
+ },
1862
+ {
1863
+ "epoch": 37.01,
1864
+ "learning_rate": 2.6610526315789475e-06,
1865
+ "loss": 0.0001,
1866
+ "step": 7475
1867
+ },
1868
+ {
1869
+ "epoch": 37.01,
1870
+ "learning_rate": 2.6347368421052633e-06,
1871
+ "loss": 0.0001,
1872
+ "step": 7500
1873
+ },
1874
+ {
1875
+ "epoch": 37.01,
1876
+ "learning_rate": 2.608421052631579e-06,
1877
+ "loss": 0.0001,
1878
+ "step": 7525
1879
+ },
1880
+ {
1881
+ "epoch": 37.02,
1882
+ "learning_rate": 2.5821052631578954e-06,
1883
+ "loss": 0.0001,
1884
+ "step": 7550
1885
+ },
1886
+ {
1887
+ "epoch": 37.02,
1888
+ "learning_rate": 2.5557894736842108e-06,
1889
+ "loss": 0.0001,
1890
+ "step": 7575
1891
+ },
1892
+ {
1893
+ "epoch": 37.02,
1894
+ "learning_rate": 2.5294736842105266e-06,
1895
+ "loss": 0.0001,
1896
+ "step": 7600
1897
+ },
1898
+ {
1899
+ "epoch": 38.0,
1900
+ "learning_rate": 2.5031578947368424e-06,
1901
+ "loss": 0.0001,
1902
+ "step": 7625
1903
+ },
1904
+ {
1905
+ "epoch": 38.01,
1906
+ "learning_rate": 2.476842105263158e-06,
1907
+ "loss": 0.0001,
1908
+ "step": 7650
1909
+ },
1910
+ {
1911
+ "epoch": 38.01,
1912
+ "learning_rate": 2.4505263157894736e-06,
1913
+ "loss": 0.0001,
1914
+ "step": 7675
1915
+ },
1916
+ {
1917
+ "epoch": 38.01,
1918
+ "learning_rate": 2.42421052631579e-06,
1919
+ "loss": 0.0001,
1920
+ "step": 7700
1921
+ },
1922
+ {
1923
+ "epoch": 38.01,
1924
+ "learning_rate": 2.3978947368421052e-06,
1925
+ "loss": 0.0001,
1926
+ "step": 7725
1927
+ },
1928
+ {
1929
+ "epoch": 38.02,
1930
+ "learning_rate": 2.371578947368421e-06,
1931
+ "loss": 0.0001,
1932
+ "step": 7750
1933
+ },
1934
+ {
1935
+ "epoch": 38.02,
1936
+ "learning_rate": 2.3452631578947373e-06,
1937
+ "loss": 0.0001,
1938
+ "step": 7775
1939
+ },
1940
+ {
1941
+ "epoch": 38.02,
1942
+ "learning_rate": 2.3189473684210527e-06,
1943
+ "loss": 0.0001,
1944
+ "step": 7800
1945
+ },
1946
+ {
1947
+ "epoch": 39.0,
1948
+ "learning_rate": 2.2926315789473685e-06,
1949
+ "loss": 0.0001,
1950
+ "step": 7825
1951
+ },
1952
+ {
1953
+ "epoch": 39.01,
1954
+ "learning_rate": 2.2663157894736843e-06,
1955
+ "loss": 0.0001,
1956
+ "step": 7850
1957
+ },
1958
+ {
1959
+ "epoch": 39.01,
1960
+ "learning_rate": 2.24e-06,
1961
+ "loss": 0.0001,
1962
+ "step": 7875
1963
+ },
1964
+ {
1965
+ "epoch": 39.01,
1966
+ "learning_rate": 2.213684210526316e-06,
1967
+ "loss": 0.0001,
1968
+ "step": 7900
1969
+ },
1970
+ {
1971
+ "epoch": 39.01,
1972
+ "learning_rate": 2.187368421052632e-06,
1973
+ "loss": 0.0001,
1974
+ "step": 7925
1975
+ },
1976
+ {
1977
+ "epoch": 39.02,
1978
+ "learning_rate": 2.1610526315789476e-06,
1979
+ "loss": 0.0001,
1980
+ "step": 7950
1981
+ },
1982
+ {
1983
+ "epoch": 39.02,
1984
+ "learning_rate": 2.1347368421052634e-06,
1985
+ "loss": 0.0001,
1986
+ "step": 7975
1987
+ },
1988
+ {
1989
+ "epoch": 39.02,
1990
+ "learning_rate": 2.1084210526315792e-06,
1991
+ "loss": 0.0001,
1992
+ "step": 8000
1993
+ },
1994
+ {
1995
+ "epoch": 39.02,
1996
+ "eval_loss": 0.314346045255661,
1997
+ "eval_runtime": 1406.8839,
1998
+ "eval_samples_per_second": 4.653,
1999
+ "eval_steps_per_second": 0.146,
2000
+ "eval_wer": 7.148523730684326,
2001
+ "step": 8000
2002
+ },
2003
+ {
2004
+ "epoch": 40.0,
2005
+ "learning_rate": 2.082105263157895e-06,
2006
+ "loss": 0.0001,
2007
+ "step": 8025
2008
+ },
2009
+ {
2010
+ "epoch": 40.01,
2011
+ "learning_rate": 2.055789473684211e-06,
2012
+ "loss": 0.0001,
2013
+ "step": 8050
2014
+ },
2015
+ {
2016
+ "epoch": 40.01,
2017
+ "learning_rate": 2.0294736842105263e-06,
2018
+ "loss": 0.0001,
2019
+ "step": 8075
2020
+ },
2021
+ {
2022
+ "epoch": 40.01,
2023
+ "learning_rate": 2.003157894736842e-06,
2024
+ "loss": 0.0001,
2025
+ "step": 8100
2026
+ },
2027
+ {
2028
+ "epoch": 40.01,
2029
+ "learning_rate": 1.976842105263158e-06,
2030
+ "loss": 0.0001,
2031
+ "step": 8125
2032
+ },
2033
+ {
2034
+ "epoch": 40.02,
2035
+ "learning_rate": 1.9505263157894737e-06,
2036
+ "loss": 0.0001,
2037
+ "step": 8150
2038
+ },
2039
+ {
2040
+ "epoch": 40.02,
2041
+ "learning_rate": 1.9242105263157896e-06,
2042
+ "loss": 0.0001,
2043
+ "step": 8175
2044
+ },
2045
+ {
2046
+ "epoch": 40.02,
2047
+ "learning_rate": 1.8978947368421056e-06,
2048
+ "loss": 0.0001,
2049
+ "step": 8200
2050
+ },
2051
+ {
2052
+ "epoch": 41.0,
2053
+ "learning_rate": 1.8715789473684212e-06,
2054
+ "loss": 0.0001,
2055
+ "step": 8225
2056
+ },
2057
+ {
2058
+ "epoch": 41.01,
2059
+ "learning_rate": 1.845263157894737e-06,
2060
+ "loss": 0.0001,
2061
+ "step": 8250
2062
+ },
2063
+ {
2064
+ "epoch": 41.01,
2065
+ "learning_rate": 1.8189473684210528e-06,
2066
+ "loss": 0.0001,
2067
+ "step": 8275
2068
+ },
2069
+ {
2070
+ "epoch": 41.01,
2071
+ "learning_rate": 1.7926315789473686e-06,
2072
+ "loss": 0.0001,
2073
+ "step": 8300
2074
+ },
2075
+ {
2076
+ "epoch": 41.01,
2077
+ "learning_rate": 1.7663157894736843e-06,
2078
+ "loss": 0.0001,
2079
+ "step": 8325
2080
+ },
2081
+ {
2082
+ "epoch": 41.02,
2083
+ "learning_rate": 1.74e-06,
2084
+ "loss": 0.0001,
2085
+ "step": 8350
2086
+ },
2087
+ {
2088
+ "epoch": 41.02,
2089
+ "learning_rate": 1.713684210526316e-06,
2090
+ "loss": 0.0001,
2091
+ "step": 8375
2092
+ },
2093
+ {
2094
+ "epoch": 41.02,
2095
+ "learning_rate": 1.6873684210526317e-06,
2096
+ "loss": 0.0001,
2097
+ "step": 8400
2098
+ },
2099
+ {
2100
+ "epoch": 42.0,
2101
+ "learning_rate": 1.6610526315789473e-06,
2102
+ "loss": 0.0001,
2103
+ "step": 8425
2104
+ },
2105
+ {
2106
+ "epoch": 42.01,
2107
+ "learning_rate": 1.6347368421052633e-06,
2108
+ "loss": 0.0001,
2109
+ "step": 8450
2110
+ },
2111
+ {
2112
+ "epoch": 42.01,
2113
+ "learning_rate": 1.6084210526315792e-06,
2114
+ "loss": 0.0001,
2115
+ "step": 8475
2116
+ },
2117
+ {
2118
+ "epoch": 42.01,
2119
+ "learning_rate": 1.5821052631578948e-06,
2120
+ "loss": 0.0001,
2121
+ "step": 8500
2122
+ },
2123
+ {
2124
+ "epoch": 42.01,
2125
+ "learning_rate": 1.5557894736842106e-06,
2126
+ "loss": 0.0001,
2127
+ "step": 8525
2128
+ },
2129
+ {
2130
+ "epoch": 42.02,
2131
+ "learning_rate": 1.5294736842105264e-06,
2132
+ "loss": 0.0001,
2133
+ "step": 8550
2134
+ },
2135
+ {
2136
+ "epoch": 42.02,
2137
+ "learning_rate": 1.5031578947368422e-06,
2138
+ "loss": 0.0001,
2139
+ "step": 8575
2140
+ },
2141
+ {
2142
+ "epoch": 42.02,
2143
+ "learning_rate": 1.4768421052631578e-06,
2144
+ "loss": 0.0001,
2145
+ "step": 8600
2146
+ },
2147
+ {
2148
+ "epoch": 43.0,
2149
+ "learning_rate": 1.4505263157894739e-06,
2150
+ "loss": 0.0001,
2151
+ "step": 8625
2152
+ },
2153
+ {
2154
+ "epoch": 43.01,
2155
+ "learning_rate": 1.4242105263157897e-06,
2156
+ "loss": 0.0001,
2157
+ "step": 8650
2158
+ },
2159
+ {
2160
+ "epoch": 43.01,
2161
+ "learning_rate": 1.3978947368421053e-06,
2162
+ "loss": 0.0001,
2163
+ "step": 8675
2164
+ },
2165
+ {
2166
+ "epoch": 43.01,
2167
+ "learning_rate": 1.3715789473684213e-06,
2168
+ "loss": 0.0001,
2169
+ "step": 8700
2170
+ },
2171
+ {
2172
+ "epoch": 43.01,
2173
+ "learning_rate": 1.345263157894737e-06,
2174
+ "loss": 0.0001,
2175
+ "step": 8725
2176
+ },
2177
+ {
2178
+ "epoch": 43.02,
2179
+ "learning_rate": 1.3189473684210527e-06,
2180
+ "loss": 0.0001,
2181
+ "step": 8750
2182
+ },
2183
+ {
2184
+ "epoch": 43.02,
2185
+ "learning_rate": 1.2926315789473683e-06,
2186
+ "loss": 0.0001,
2187
+ "step": 8775
2188
+ },
2189
+ {
2190
+ "epoch": 43.02,
2191
+ "learning_rate": 1.2663157894736844e-06,
2192
+ "loss": 0.0001,
2193
+ "step": 8800
2194
+ },
2195
+ {
2196
+ "epoch": 44.0,
2197
+ "learning_rate": 1.2400000000000002e-06,
2198
+ "loss": 0.0001,
2199
+ "step": 8825
2200
+ },
2201
+ {
2202
+ "epoch": 44.01,
2203
+ "learning_rate": 1.213684210526316e-06,
2204
+ "loss": 0.0001,
2205
+ "step": 8850
2206
+ },
2207
+ {
2208
+ "epoch": 44.01,
2209
+ "learning_rate": 1.1873684210526316e-06,
2210
+ "loss": 0.0001,
2211
+ "step": 8875
2212
+ },
2213
+ {
2214
+ "epoch": 44.01,
2215
+ "learning_rate": 1.1610526315789474e-06,
2216
+ "loss": 0.0001,
2217
+ "step": 8900
2218
+ },
2219
+ {
2220
+ "epoch": 44.01,
2221
+ "learning_rate": 1.1347368421052633e-06,
2222
+ "loss": 0.0001,
2223
+ "step": 8925
2224
+ },
2225
+ {
2226
+ "epoch": 44.02,
2227
+ "learning_rate": 1.108421052631579e-06,
2228
+ "loss": 0.0001,
2229
+ "step": 8950
2230
+ },
2231
+ {
2232
+ "epoch": 44.02,
2233
+ "learning_rate": 1.082105263157895e-06,
2234
+ "loss": 0.0001,
2235
+ "step": 8975
2236
+ },
2237
+ {
2238
+ "epoch": 44.02,
2239
+ "learning_rate": 1.0557894736842105e-06,
2240
+ "loss": 0.0001,
2241
+ "step": 9000
2242
+ },
2243
+ {
2244
+ "epoch": 44.02,
2245
+ "eval_loss": 0.3196016252040863,
2246
+ "eval_runtime": 1404.9195,
2247
+ "eval_samples_per_second": 4.659,
2248
+ "eval_steps_per_second": 0.146,
2249
+ "eval_wer": 7.122654525386314,
2250
+ "step": 9000
2251
+ },
2252
+ {
2253
+ "epoch": 45.0,
2254
+ "learning_rate": 1.0294736842105265e-06,
2255
+ "loss": 0.0001,
2256
+ "step": 9025
2257
+ },
2258
+ {
2259
+ "epoch": 45.01,
2260
+ "learning_rate": 1.0031578947368421e-06,
2261
+ "loss": 0.0001,
2262
+ "step": 9050
2263
+ },
2264
+ {
2265
+ "epoch": 45.01,
2266
+ "learning_rate": 9.76842105263158e-07,
2267
+ "loss": 0.0001,
2268
+ "step": 9075
2269
+ },
2270
+ {
2271
+ "epoch": 45.01,
2272
+ "learning_rate": 9.505263157894738e-07,
2273
+ "loss": 0.0001,
2274
+ "step": 9100
2275
+ },
2276
+ {
2277
+ "epoch": 45.01,
2278
+ "learning_rate": 9.242105263157895e-07,
2279
+ "loss": 0.0001,
2280
+ "step": 9125
2281
+ },
2282
+ {
2283
+ "epoch": 45.02,
2284
+ "learning_rate": 8.978947368421054e-07,
2285
+ "loss": 0.0001,
2286
+ "step": 9150
2287
+ },
2288
+ {
2289
+ "epoch": 45.02,
2290
+ "learning_rate": 8.715789473684211e-07,
2291
+ "loss": 0.0001,
2292
+ "step": 9175
2293
+ },
2294
+ {
2295
+ "epoch": 45.02,
2296
+ "learning_rate": 8.452631578947369e-07,
2297
+ "loss": 0.0001,
2298
+ "step": 9200
2299
+ },
2300
+ {
2301
+ "epoch": 46.0,
2302
+ "learning_rate": 8.189473684210527e-07,
2303
+ "loss": 0.0001,
2304
+ "step": 9225
2305
+ },
2306
+ {
2307
+ "epoch": 46.01,
2308
+ "learning_rate": 7.926315789473685e-07,
2309
+ "loss": 0.0001,
2310
+ "step": 9250
2311
+ },
2312
+ {
2313
+ "epoch": 46.01,
2314
+ "learning_rate": 7.663157894736843e-07,
2315
+ "loss": 0.0001,
2316
+ "step": 9275
2317
+ },
2318
+ {
2319
+ "epoch": 46.01,
2320
+ "learning_rate": 7.4e-07,
2321
+ "loss": 0.0001,
2322
+ "step": 9300
2323
+ },
2324
+ {
2325
+ "epoch": 46.01,
2326
+ "learning_rate": 7.136842105263158e-07,
2327
+ "loss": 0.0001,
2328
+ "step": 9325
2329
+ },
2330
+ {
2331
+ "epoch": 46.02,
2332
+ "learning_rate": 6.873684210526315e-07,
2333
+ "loss": 0.0001,
2334
+ "step": 9350
2335
+ },
2336
+ {
2337
+ "epoch": 46.02,
2338
+ "learning_rate": 6.610526315789475e-07,
2339
+ "loss": 0.0001,
2340
+ "step": 9375
2341
+ },
2342
+ {
2343
+ "epoch": 46.02,
2344
+ "learning_rate": 6.347368421052633e-07,
2345
+ "loss": 0.0001,
2346
+ "step": 9400
2347
+ },
2348
+ {
2349
+ "epoch": 47.0,
2350
+ "learning_rate": 6.08421052631579e-07,
2351
+ "loss": 0.0001,
2352
+ "step": 9425
2353
+ },
2354
+ {
2355
+ "epoch": 47.01,
2356
+ "learning_rate": 5.821052631578948e-07,
2357
+ "loss": 0.0001,
2358
+ "step": 9450
2359
+ },
2360
+ {
2361
+ "epoch": 47.01,
2362
+ "learning_rate": 5.557894736842106e-07,
2363
+ "loss": 0.0001,
2364
+ "step": 9475
2365
+ },
2366
+ {
2367
+ "epoch": 47.01,
2368
+ "learning_rate": 5.294736842105263e-07,
2369
+ "loss": 0.0001,
2370
+ "step": 9500
2371
+ },
2372
+ {
2373
+ "epoch": 47.01,
2374
+ "learning_rate": 5.031578947368422e-07,
2375
+ "loss": 0.0001,
2376
+ "step": 9525
2377
+ },
2378
+ {
2379
+ "epoch": 47.02,
2380
+ "learning_rate": 4.768421052631579e-07,
2381
+ "loss": 0.0001,
2382
+ "step": 9550
2383
+ },
2384
+ {
2385
+ "epoch": 47.02,
2386
+ "learning_rate": 4.505263157894737e-07,
2387
+ "loss": 0.0001,
2388
+ "step": 9575
2389
+ },
2390
+ {
2391
+ "epoch": 47.02,
2392
+ "learning_rate": 4.242105263157895e-07,
2393
+ "loss": 0.0001,
2394
+ "step": 9600
2395
+ },
2396
+ {
2397
+ "epoch": 48.0,
2398
+ "learning_rate": 3.9789473684210533e-07,
2399
+ "loss": 0.0001,
2400
+ "step": 9625
2401
+ },
2402
+ {
2403
+ "epoch": 48.01,
2404
+ "learning_rate": 3.715789473684211e-07,
2405
+ "loss": 0.0001,
2406
+ "step": 9650
2407
+ },
2408
+ {
2409
+ "epoch": 48.01,
2410
+ "learning_rate": 3.4526315789473686e-07,
2411
+ "loss": 0.0001,
2412
+ "step": 9675
2413
+ },
2414
+ {
2415
+ "epoch": 48.01,
2416
+ "learning_rate": 3.1894736842105263e-07,
2417
+ "loss": 0.0001,
2418
+ "step": 9700
2419
+ },
2420
+ {
2421
+ "epoch": 48.01,
2422
+ "learning_rate": 2.9263157894736845e-07,
2423
+ "loss": 0.0001,
2424
+ "step": 9725
2425
+ },
2426
+ {
2427
+ "epoch": 48.02,
2428
+ "learning_rate": 2.663157894736842e-07,
2429
+ "loss": 0.0001,
2430
+ "step": 9750
2431
+ },
2432
+ {
2433
+ "epoch": 48.02,
2434
+ "learning_rate": 2.4000000000000003e-07,
2435
+ "loss": 0.0001,
2436
+ "step": 9775
2437
+ },
2438
+ {
2439
+ "epoch": 48.02,
2440
+ "learning_rate": 2.136842105263158e-07,
2441
+ "loss": 0.0001,
2442
+ "step": 9800
2443
+ },
2444
+ {
2445
+ "epoch": 49.0,
2446
+ "learning_rate": 1.8736842105263162e-07,
2447
+ "loss": 0.0001,
2448
+ "step": 9825
2449
+ },
2450
+ {
2451
+ "epoch": 49.01,
2452
+ "learning_rate": 1.6105263157894738e-07,
2453
+ "loss": 0.0001,
2454
+ "step": 9850
2455
+ },
2456
+ {
2457
+ "epoch": 49.01,
2458
+ "learning_rate": 1.3473684210526317e-07,
2459
+ "loss": 0.0001,
2460
+ "step": 9875
2461
+ },
2462
+ {
2463
+ "epoch": 49.01,
2464
+ "learning_rate": 1.0842105263157895e-07,
2465
+ "loss": 0.0001,
2466
+ "step": 9900
2467
+ },
2468
+ {
2469
+ "epoch": 49.01,
2470
+ "learning_rate": 8.210526315789474e-08,
2471
+ "loss": 0.0001,
2472
+ "step": 9925
2473
+ },
2474
+ {
2475
+ "epoch": 49.02,
2476
+ "learning_rate": 5.578947368421053e-08,
2477
+ "loss": 0.0001,
2478
+ "step": 9950
2479
+ },
2480
+ {
2481
+ "epoch": 49.02,
2482
+ "learning_rate": 2.9473684210526318e-08,
2483
+ "loss": 0.0001,
2484
+ "step": 9975
2485
+ },
2486
+ {
2487
+ "epoch": 49.02,
2488
+ "learning_rate": 3.1578947368421054e-09,
2489
+ "loss": 0.0001,
2490
+ "step": 10000
2491
+ },
2492
+ {
2493
+ "epoch": 49.02,
2494
+ "eval_loss": 0.3218191862106323,
2495
+ "eval_runtime": 1405.9186,
2496
+ "eval_samples_per_second": 4.656,
2497
+ "eval_steps_per_second": 0.146,
2498
+ "eval_wer": 7.124379139072848,
2499
+ "step": 10000
2500
+ },
2501
+ {
2502
+ "epoch": 49.02,
2503
+ "step": 10000,
2504
+ "total_flos": 6.52880959340544e+20,
2505
+ "train_loss": 0.017749687022855506,
2506
+ "train_runtime": 135026.7905,
2507
+ "train_samples_per_second": 4.74,
2508
+ "train_steps_per_second": 0.074
2509
+ }
2510
+ ],
2511
+ "logging_steps": 25,
2512
+ "max_steps": 10000,
2513
+ "num_train_epochs": 9223372036854775807,
2514
+ "save_steps": 1000,
2515
+ "total_flos": 6.52880959340544e+20,
2516
+ "trial_name": null,
2517
+ "trial_params": null
2518
+ }