Hugging Face's logo

arbml
/
wav2vec2-large-xlsr-53-arabic-egyptian

Automatic Speech Recognition
Transformers
PyTorch
JAX
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results
Inference Endpoints
Model card Files Community
3
wav2vec2-large-xlsr-53-arabic-egyptian
File size: 2,229 Bytes 
1f6c681
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 18.46153846153846,
  "global_step": 1200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 3.08,
      "learning_rate": 0.00011999999999999999,
      "loss": 5.7855,
      "step": 200
    },
    {
      "epoch": 3.08,
      "eval_loss": 3.094594717025757,
      "eval_runtime": 32.9209,
      "eval_samples_per_second": 7.017,
      "eval_wer": 1.0,
      "step": 200
    },
    {
      "epoch": 6.15,
      "learning_rate": 0.00023999999999999998,
      "loss": 3.0293,
      "step": 400
    },
    {
      "epoch": 6.15,
      "eval_loss": 3.005324125289917,
      "eval_runtime": 32.0726,
      "eval_samples_per_second": 7.202,
      "eval_wer": 1.0,
      "step": 400
    },
    {
      "epoch": 9.23,
      "learning_rate": 0.0002625,
      "loss": 1.9629,
      "step": 600
    },
    {
      "epoch": 9.23,
      "eval_loss": 1.0649160146713257,
      "eval_runtime": 32.4082,
      "eval_samples_per_second": 7.128,
      "eval_wer": 0.7503426222019187,
      "step": 600
    },
    {
      "epoch": 12.31,
      "learning_rate": 0.00018749999999999998,
      "loss": 0.9013,
      "step": 800
    },
    {
      "epoch": 12.31,
      "eval_loss": 0.8863689303398132,
      "eval_runtime": 32.197,
      "eval_samples_per_second": 7.175,
      "eval_wer": 0.6196893558702604,
      "step": 800
    },
    {
      "epoch": 15.38,
      "learning_rate": 0.0001125,
      "loss": 0.6283,
      "step": 1000
    },
    {
      "epoch": 15.38,
      "eval_loss": 0.8295900821685791,
      "eval_runtime": 32.1739,
      "eval_samples_per_second": 7.18,
      "eval_wer": 0.5616719963453631,
      "step": 1000
    },
    {
      "epoch": 18.46,
      "learning_rate": 3.75e-05,
      "loss": 0.4995,
      "step": 1200
    },
    {
      "epoch": 18.46,
      "eval_loss": 0.8448638319969177,
      "eval_runtime": 32.5186,
      "eval_samples_per_second": 7.104,
      "eval_wer": 0.5415714938328003,
      "step": 1200
    }
  ],
  "max_steps": 1300,
  "num_train_epochs": 20,
  "total_flos": 7.999595747693107e+18,
  "trial_name": null,
  "trial_params": null
}