Hugging Face's logo

Yasaman
/
whisper_fa

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Inference Endpoints
Model card Files Metrics Community
1
whisper_fa
File size: 2,494 Bytes 
f6704f7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
 
{
  "best_metric": 90.51679294357119,
  "best_model_checkpoint": "/content/drive/MyDrive/whisper_fa/checkpoint-300",
  "epoch": 0.29673590504451036,
  "global_step": 300,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02,
      "learning_rate": 4.2000000000000006e-07,
      "loss": 3.827,
      "step": 25
    },
    {
      "epoch": 0.05,
      "learning_rate": 9.200000000000001e-07,
      "loss": 3.0391,
      "step": 50
    },
    {
      "epoch": 0.07,
      "learning_rate": 1.42e-06,
      "loss": 2.0005,
      "step": 75
    },
    {
      "epoch": 0.1,
      "learning_rate": 1.9200000000000003e-06,
      "loss": 1.5088,
      "step": 100
    },
    {
      "epoch": 0.1,
      "eval_loss": 1.5322957038879395,
      "eval_runtime": 2929.9187,
      "eval_samples_per_second": 2.107,
      "eval_steps_per_second": 0.263,
      "eval_wer": 138.26755625918804,
      "step": 100
    },
    {
      "epoch": 0.12,
      "learning_rate": 2.42e-06,
      "loss": 1.2897,
      "step": 125
    },
    {
      "epoch": 0.15,
      "learning_rate": 2.92e-06,
      "loss": 1.2063,
      "step": 150
    },
    {
      "epoch": 0.17,
      "learning_rate": 3.4200000000000007e-06,
      "loss": 1.0927,
      "step": 175
    },
    {
      "epoch": 0.2,
      "learning_rate": 3.920000000000001e-06,
      "loss": 0.9823,
      "step": 200
    },
    {
      "epoch": 0.2,
      "eval_loss": 1.183502197265625,
      "eval_runtime": 3559.6869,
      "eval_samples_per_second": 1.734,
      "eval_steps_per_second": 0.217,
      "eval_wer": 146.83026122356665,
      "step": 200
    },
    {
      "epoch": 0.22,
      "learning_rate": 4.42e-06,
      "loss": 0.9176,
      "step": 225
    },
    {
      "epoch": 0.25,
      "learning_rate": 4.92e-06,
      "loss": 0.8556,
      "step": 250
    },
    {
      "epoch": 0.27,
      "learning_rate": 5.420000000000001e-06,
      "loss": 0.793,
      "step": 275
    },
    {
      "epoch": 0.3,
      "learning_rate": 5.92e-06,
      "loss": 0.6578,
      "step": 300
    },
    {
      "epoch": 0.3,
      "eval_loss": 0.8619305491447449,
      "eval_runtime": 2965.2699,
      "eval_samples_per_second": 2.082,
      "eval_steps_per_second": 0.26,
      "eval_wer": 90.51679294357119,
      "step": 300
    }
  ],
  "max_steps": 1011,
  "num_train_epochs": 1,
  "total_flos": 1.385209921536e+18,
  "trial_name": null,
  "trial_params": null
}