Hugging Face's logo

eleferrand
/
XLSR_gwad

PyTorch
wav2vec2
Model card Files
xet
Community
1
XLSR_gwad
File size: 4,902 Bytes 
eb4c7b6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 20.0,
  "global_step": 500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_loss": 3.1823601722717285,
      "eval_runtime": 1.8503,
      "eval_samples_per_second": 126.469,
      "eval_steps_per_second": 16.214,
      "eval_wer": 1.0,
      "step": 25
    },
    {
      "epoch": 2.0,
      "eval_loss": 2.933835983276367,
      "eval_runtime": 1.8259,
      "eval_samples_per_second": 128.156,
      "eval_steps_per_second": 16.43,
      "eval_wer": 1.0,
      "step": 50
    },
    {
      "epoch": 3.0,
      "eval_loss": 2.8917059898376465,
      "eval_runtime": 1.8294,
      "eval_samples_per_second": 127.913,
      "eval_steps_per_second": 16.399,
      "eval_wer": 1.0,
      "step": 75
    },
    {
      "epoch": 4.0,
      "eval_loss": 2.9372332096099854,
      "eval_runtime": 1.8378,
      "eval_samples_per_second": 127.327,
      "eval_steps_per_second": 16.324,
      "eval_wer": 1.0,
      "step": 100
    },
    {
      "epoch": 5.0,
      "eval_loss": 2.8342607021331787,
      "eval_runtime": 1.843,
      "eval_samples_per_second": 126.965,
      "eval_steps_per_second": 16.278,
      "eval_wer": 1.0,
      "step": 125
    },
    {
      "epoch": 6.0,
      "eval_loss": 2.8205959796905518,
      "eval_runtime": 1.8525,
      "eval_samples_per_second": 126.315,
      "eval_steps_per_second": 16.194,
      "eval_wer": 1.0,
      "step": 150
    },
    {
      "epoch": 7.0,
      "eval_loss": 2.7126834392547607,
      "eval_runtime": 1.8471,
      "eval_samples_per_second": 126.686,
      "eval_steps_per_second": 16.242,
      "eval_wer": 0.9917290271760536,
      "step": 175
    },
    {
      "epoch": 8.0,
      "eval_loss": 2.2903497219085693,
      "eval_runtime": 1.8549,
      "eval_samples_per_second": 126.15,
      "eval_steps_per_second": 16.173,
      "eval_wer": 0.9279243796770382,
      "step": 200
    },
    {
      "epoch": 9.0,
      "eval_loss": 2.161506414413452,
      "eval_runtime": 1.8637,
      "eval_samples_per_second": 125.556,
      "eval_steps_per_second": 16.097,
      "eval_wer": 0.9641591177628988,
      "step": 225
    },
    {
      "epoch": 10.0,
      "eval_loss": 1.8126736879348755,
      "eval_runtime": 1.868,
      "eval_samples_per_second": 125.265,
      "eval_steps_per_second": 16.06,
      "eval_wer": 0.790862544308783,
      "step": 250
    },
    {
      "epoch": 11.0,
      "eval_loss": 1.8635412454605103,
      "eval_runtime": 1.869,
      "eval_samples_per_second": 125.203,
      "eval_steps_per_second": 16.052,
      "eval_wer": 0.7707758960220559,
      "step": 275
    },
    {
      "epoch": 12.0,
      "eval_loss": 1.9644334316253662,
      "eval_runtime": 1.8669,
      "eval_samples_per_second": 125.34,
      "eval_steps_per_second": 16.069,
      "eval_wer": 0.7412367073651044,
      "step": 300
    },
    {
      "epoch": 13.0,
      "eval_loss": 1.9838531017303467,
      "eval_runtime": 1.8741,
      "eval_samples_per_second": 124.858,
      "eval_steps_per_second": 16.007,
      "eval_wer": 0.7565970854667192,
      "step": 325
    },
    {
      "epoch": 14.0,
      "eval_loss": 2.0554840564727783,
      "eval_runtime": 1.874,
      "eval_samples_per_second": 124.864,
      "eval_steps_per_second": 16.008,
      "eval_wer": 0.7400551398188263,
      "step": 350
    },
    {
      "epoch": 15.0,
      "eval_loss": 2.204854965209961,
      "eval_runtime": 1.8695,
      "eval_samples_per_second": 125.17,
      "eval_steps_per_second": 16.047,
      "eval_wer": 0.7447814100039386,
      "step": 375
    },
    {
      "epoch": 16.0,
      "eval_loss": 2.2302396297454834,
      "eval_runtime": 1.8667,
      "eval_samples_per_second": 125.353,
      "eval_steps_per_second": 16.071,
      "eval_wer": 0.7443875541551792,
      "step": 400
    },
    {
      "epoch": 17.0,
      "eval_loss": 2.2742059230804443,
      "eval_runtime": 1.8774,
      "eval_samples_per_second": 124.639,
      "eval_steps_per_second": 15.979,
      "eval_wer": 0.7581725088617566,
      "step": 425
    },
    {
      "epoch": 18.0,
      "eval_loss": 2.375885248184204,
      "eval_runtime": 1.8762,
      "eval_samples_per_second": 124.719,
      "eval_steps_per_second": 15.99,
      "eval_wer": 0.7487199684915321,
      "step": 450
    },
    {
      "epoch": 19.0,
      "eval_loss": 2.4379167556762695,
      "eval_runtime": 1.8721,
      "eval_samples_per_second": 124.99,
      "eval_steps_per_second": 16.024,
      "eval_wer": 0.759747932256794,
      "step": 475
    },
    {
      "epoch": 20.0,
      "learning_rate": 0.0001008,
      "loss": 1.9367,
      "step": 500
    }
  ],
  "max_steps": 750,
  "num_train_epochs": 30,
  "total_flos": 2.2993843982800115e+18,
  "trial_name": null,
  "trial_params": null
}