Hugging Face's logo

parambharat
/
whisper-tiny-ta-example

Automatic Speech Recognition
Transformers
PyTorch
Tamil
whisper
whisper-event
Generated from Trainer
Inference Endpoints
Model card Files Community
1
whisper-tiny-ta-example
File size: 2,571 Bytes 
db725c8
 
 
7591d10
 
db725c8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c081761
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
375f3d6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7591d10
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
db725c8
 
 
 
7591d10
db725c8
 
 
 
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
 
{
  "best_metric": 31.73913043478261,
  "best_model_checkpoint": "../models/whisper-tiny-ta-example/checkpoint-25",
  "epoch": 49.02,
  "global_step": 100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 4.02,
      "learning_rate": 3.6000000000000003e-06,
      "loss": 0.3397,
      "step": 10
    },
    {
      "epoch": 9.02,
      "learning_rate": 7.600000000000001e-06,
      "loss": 0.304,
      "step": 20
    },
    {
      "epoch": 12.01,
      "eval_loss": 0.36143070459365845,
      "eval_runtime": 3.8028,
      "eval_samples_per_second": 2.63,
      "eval_steps_per_second": 0.263,
      "eval_wer": 31.73913043478261,
      "step": 25
    },
    {
      "epoch": 14.02,
      "learning_rate": 9.466666666666667e-06,
      "loss": 0.2529,
      "step": 30
    },
    {
      "epoch": 19.02,
      "learning_rate": 8.133333333333334e-06,
      "loss": 0.2137,
      "step": 40
    },
    {
      "epoch": 24.02,
      "learning_rate": 6.800000000000001e-06,
      "loss": 0.1826,
      "step": 50
    },
    {
      "epoch": 24.02,
      "eval_loss": 0.38507118821144104,
      "eval_runtime": 3.5454,
      "eval_samples_per_second": 2.821,
      "eval_steps_per_second": 0.282,
      "eval_wer": 35.21739130434783,
      "step": 50
    },
    {
      "epoch": 29.02,
      "learning_rate": 5.466666666666667e-06,
      "loss": 0.156,
      "step": 60
    },
    {
      "epoch": 34.02,
      "learning_rate": 4.133333333333333e-06,
      "loss": 0.1346,
      "step": 70
    },
    {
      "epoch": 37.01,
      "eval_loss": 0.39989081025123596,
      "eval_runtime": 3.4634,
      "eval_samples_per_second": 2.887,
      "eval_steps_per_second": 0.289,
      "eval_wer": 37.826086956521735,
      "step": 75
    },
    {
      "epoch": 39.02,
      "learning_rate": 2.8000000000000003e-06,
      "loss": 0.1304,
      "step": 80
    },
    {
      "epoch": 44.02,
      "learning_rate": 1.4666666666666669e-06,
      "loss": 0.1087,
      "step": 90
    },
    {
      "epoch": 49.02,
      "learning_rate": 1.3333333333333336e-07,
      "loss": 0.1096,
      "step": 100
    },
    {
      "epoch": 49.02,
      "eval_loss": 0.4016417860984802,
      "eval_runtime": 3.4824,
      "eval_samples_per_second": 2.872,
      "eval_steps_per_second": 0.287,
      "eval_wer": 36.52173913043478,
      "step": 100
    }
  ],
  "max_steps": 100,
  "num_train_epochs": 9223372036854775807,
  "total_flos": 1.230944256e+17,
  "trial_name": null,
  "trial_params": null
}