Hugging Face's logo

Mitradn
/
all-3data

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files
xet
 Community
all-3data
File size: 3,342 Bytes
55a82c6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
{
  "best_metric": 1.9628836545324768,
  "best_model_checkpoint": "./3d-whisper-finetune/checkpoint-200",
  "epoch": 0.7322654462242563,
  "eval_steps": 25,
  "global_step": 200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.09,
      "learning_rate": 4.000000000000001e-06,
      "loss": 5.9984,
      "step": 25
    },
    {
      "epoch": 0.09,
      "eval_loss": 3.8559463024139404,
      "eval_runtime": 636.0081,
      "eval_samples_per_second": 0.821,
      "eval_steps_per_second": 0.41,
      "eval_wer": 75.05353319057816,
      "step": 25
    },
    {
      "epoch": 0.18,
      "learning_rate": 9e-06,
      "loss": 2.6581,
      "step": 50
    },
    {
      "epoch": 0.18,
      "eval_loss": 1.592560887336731,
      "eval_runtime": 601.8767,
      "eval_samples_per_second": 0.867,
      "eval_steps_per_second": 0.434,
      "eval_wer": 6.138472519628837,
      "step": 50
    },
    {
      "epoch": 0.27,
      "learning_rate": 9.200000000000002e-06,
      "loss": 1.2735,
      "step": 75
    },
    {
      "epoch": 0.27,
      "eval_loss": 1.0036380290985107,
      "eval_runtime": 570.3747,
      "eval_samples_per_second": 0.915,
      "eval_steps_per_second": 0.458,
      "eval_wer": 4.211277658815132,
      "step": 75
    },
    {
      "epoch": 0.37,
      "learning_rate": 8.2e-06,
      "loss": 0.6543,
      "step": 100
    },
    {
      "epoch": 0.37,
      "eval_loss": 0.5222607851028442,
      "eval_runtime": 637.2958,
      "eval_samples_per_second": 0.819,
      "eval_steps_per_second": 0.41,
      "eval_wer": 9.243397573162026,
      "step": 100
    },
    {
      "epoch": 0.46,
      "learning_rate": 7.2000000000000005e-06,
      "loss": 0.2469,
      "step": 125
    },
    {
      "epoch": 0.46,
      "eval_loss": 0.1941457986831665,
      "eval_runtime": 586.186,
      "eval_samples_per_second": 0.891,
      "eval_steps_per_second": 0.445,
      "eval_wer": 13.49036402569593,
      "step": 125
    },
    {
      "epoch": 0.55,
      "learning_rate": 6.200000000000001e-06,
      "loss": 0.1311,
      "step": 150
    },
    {
      "epoch": 0.55,
      "eval_loss": 0.15886355936527252,
      "eval_runtime": 608.108,
      "eval_samples_per_second": 0.858,
      "eval_steps_per_second": 0.429,
      "eval_wer": 3.675945753033547,
      "step": 150
    },
    {
      "epoch": 0.64,
      "learning_rate": 5.2e-06,
      "loss": 0.101,
      "step": 175
    },
    {
      "epoch": 0.64,
      "eval_loss": 0.16113096475601196,
      "eval_runtime": 582.3936,
      "eval_samples_per_second": 0.896,
      "eval_steps_per_second": 0.448,
      "eval_wer": 1.9985724482512492,
      "step": 175
    },
    {
      "epoch": 0.73,
      "learning_rate": 4.2000000000000004e-06,
      "loss": 0.0586,
      "step": 200
    },
    {
      "epoch": 0.73,
      "eval_loss": 0.11285543441772461,
      "eval_runtime": 573.3964,
      "eval_samples_per_second": 0.91,
      "eval_steps_per_second": 0.455,
      "eval_wer": 1.9628836545324768,
      "step": 200
    }
  ],
  "logging_steps": 25,
  "max_steps": 300,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 50,
  "total_flos": 3.265935704064e+18,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}