Hugging Face's logo

alvanlii
/
wav2vec2-BERT-cantonese

Automatic Speech Recognition
Transformers
Safetensors
Chinese
wav2vec2-bert
Eval Results
Inference Endpoints
Model card Files Community
wav2vec2-BERT-cantonese
File size: 3,356 Bytes 
10fb74a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": null,
  "best_model_checkpoint": null,
  "epoch": 2.9200410630774494,
  "eval_steps": 300,
  "global_step": 2400,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.37,
      "learning_rate": 2.97e-05,
      "loss": 11.4962,
      "step": 300
    },
    {
      "epoch": 0.37,
      "eval_cer": 0.7285700557370748,
      "eval_loss": 3.9011037349700928,
      "eval_runtime": 45.9839,
      "eval_samples_per_second": 48.3,
      "eval_steps_per_second": 6.046,
      "step": 300
    },
    {
      "epoch": 0.73,
      "learning_rate": 4.752929190015283e-05,
      "loss": 1.9358,
      "step": 600
    },
    {
      "epoch": 0.73,
      "eval_cer": 0.3138093407649433,
      "eval_loss": 1.294021487236023,
      "eval_runtime": 39.5216,
      "eval_samples_per_second": 56.197,
      "eval_steps_per_second": 7.034,
      "step": 600
    },
    {
      "epoch": 1.1,
      "learning_rate": 3.9938869077941925e-05,
      "loss": 1.1506,
      "step": 900
    },
    {
      "epoch": 1.1,
      "eval_cer": 0.33158754564674225,
      "eval_loss": 1.1284617185592651,
      "eval_runtime": 39.8848,
      "eval_samples_per_second": 55.685,
      "eval_steps_per_second": 6.97,
      "step": 900
    },
    {
      "epoch": 1.46,
      "learning_rate": 3.234844625573103e-05,
      "loss": 0.9373,
      "step": 1200
    },
    {
      "epoch": 1.46,
      "eval_cer": 0.27407265039400347,
      "eval_loss": 0.9184823632240295,
      "eval_runtime": 39.7128,
      "eval_samples_per_second": 55.927,
      "eval_steps_per_second": 7.0,
      "step": 1200
    },
    {
      "epoch": 1.83,
      "learning_rate": 2.470708099847173e-05,
      "loss": 0.8532,
      "step": 1500
    },
    {
      "epoch": 1.83,
      "eval_cer": 0.28651739381126273,
      "eval_loss": 0.8993165493011475,
      "eval_runtime": 39.7812,
      "eval_samples_per_second": 55.83,
      "eval_steps_per_second": 6.988,
      "step": 1500
    },
    {
      "epoch": 2.19,
      "learning_rate": 1.7065715741212433e-05,
      "loss": 0.7554,
      "step": 1800
    },
    {
      "epoch": 2.19,
      "eval_cer": 0.2535075917739765,
      "eval_loss": 0.8039466738700867,
      "eval_runtime": 39.8849,
      "eval_samples_per_second": 55.685,
      "eval_steps_per_second": 6.97,
      "step": 1800
    },
    {
      "epoch": 2.56,
      "learning_rate": 9.424350483953132e-06,
      "loss": 0.6747,
      "step": 2100
    },
    {
      "epoch": 2.56,
      "eval_cer": 0.24255237363059773,
      "eval_loss": 0.7663877606391907,
      "eval_runtime": 39.7233,
      "eval_samples_per_second": 55.912,
      "eval_steps_per_second": 6.998,
      "step": 2100
    },
    {
      "epoch": 2.92,
      "learning_rate": 1.7829852266938361e-06,
      "loss": 0.6314,
      "step": 2400
    },
    {
      "epoch": 2.92,
      "eval_cer": 0.24130309436863348,
      "eval_loss": 0.7546484470367432,
      "eval_runtime": 39.7215,
      "eval_samples_per_second": 55.914,
      "eval_steps_per_second": 6.999,
      "step": 2400
    }
  ],
  "logging_steps": 300,
  "max_steps": 2463,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 600,
  "total_flos": 3.771491125288823e+19,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}