Hugging Face's logo

AsemBadr
/
the-final-whisper

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
hf-asr-leaderboard
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
the-final-whisper
File size: 2,699 Bytes 
2bb5902
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 30.12351433232347,
  "best_model_checkpoint": "./the-final-whisper/checkpoint-250",
  "epoch": 0.41186161449752884,
  "eval_steps": 125,
  "global_step": 250,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.04118616144975288,
      "grad_norm": 52.4793701171875,
      "learning_rate": 4.2000000000000006e-07,
      "loss": 2.7503,
      "step": 25
    },
    {
      "epoch": 0.08237232289950576,
      "grad_norm": 16.525333404541016,
      "learning_rate": 9.200000000000001e-07,
      "loss": 2.0994,
      "step": 50
    },
    {
      "epoch": 0.12355848434925865,
      "grad_norm": 14.271560668945312,
      "learning_rate": 1.42e-06,
      "loss": 1.3213,
      "step": 75
    },
    {
      "epoch": 0.16474464579901152,
      "grad_norm": 8.628070831298828,
      "learning_rate": 1.9200000000000003e-06,
      "loss": 0.7342,
      "step": 100
    },
    {
      "epoch": 0.20593080724876442,
      "grad_norm": 8.307537078857422,
      "learning_rate": 2.42e-06,
      "loss": 0.5674,
      "step": 125
    },
    {
      "epoch": 0.20593080724876442,
      "eval_loss": 0.6090311408042908,
      "eval_runtime": 2805.8489,
      "eval_samples_per_second": 1.442,
      "eval_steps_per_second": 0.18,
      "eval_wer": 45.15497553017945,
      "step": 125
    },
    {
      "epoch": 0.2471169686985173,
      "grad_norm": 6.402714729309082,
      "learning_rate": 2.92e-06,
      "loss": 0.4853,
      "step": 150
    },
    {
      "epoch": 0.2883031301482702,
      "grad_norm": 7.138896942138672,
      "learning_rate": 3.4200000000000007e-06,
      "loss": 0.424,
      "step": 175
    },
    {
      "epoch": 0.32948929159802304,
      "grad_norm": 6.78637170791626,
      "learning_rate": 3.920000000000001e-06,
      "loss": 0.3443,
      "step": 200
    },
    {
      "epoch": 0.37067545304777594,
      "grad_norm": 6.042959690093994,
      "learning_rate": 4.42e-06,
      "loss": 0.2769,
      "step": 225
    },
    {
      "epoch": 0.41186161449752884,
      "grad_norm": 2.8671882152557373,
      "learning_rate": 4.92e-06,
      "loss": 0.1545,
      "step": 250
    },
    {
      "epoch": 0.41186161449752884,
      "eval_loss": 0.18588024377822876,
      "eval_runtime": 2810.3027,
      "eval_samples_per_second": 1.439,
      "eval_steps_per_second": 0.18,
      "eval_wer": 30.12351433232347,
      "step": 250
    }
  ],
  "logging_steps": 25,
  "max_steps": 1000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 250,
  "total_flos": 1.15434160128e+18,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}