Hugging Face's logo

lsnoo
/
asd_pronunciation_w2v_xlsr_clf

Transformers
PyTorch
wav2vec2
Inference Endpoints
Model card Files Community
asd_pronunciation_w2v_xlsr_clf
File size: 2,607 Bytes 
2607071
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 1.0679948329925537,
  "best_model_checkpoint": "asd_pronunciation_w2v_xlsr-300m/checkpoint-99",
  "epoch": 8.977777777777778,
  "global_step": 99,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.98,
      "eval_accuracy": 0.33144742250442505,
      "eval_loss": 1.5670545101165771,
      "eval_runtime": 62.8235,
      "eval_samples_per_second": 33.761,
      "eval_steps_per_second": 1.066,
      "step": 11
    },
    {
      "epoch": 1.98,
      "eval_accuracy": 0.39273926615715027,
      "eval_loss": 1.3582004308700562,
      "eval_runtime": 62.2914,
      "eval_samples_per_second": 34.05,
      "eval_steps_per_second": 1.076,
      "step": 22
    },
    {
      "epoch": 2.98,
      "eval_accuracy": 0.380952388048172,
      "eval_loss": 1.3765946626663208,
      "eval_runtime": 63.9238,
      "eval_samples_per_second": 33.18,
      "eval_steps_per_second": 1.048,
      "step": 33
    },
    {
      "epoch": 3.98,
      "eval_accuracy": 0.4186704456806183,
      "eval_loss": 1.3837833404541016,
      "eval_runtime": 63.6397,
      "eval_samples_per_second": 33.328,
      "eval_steps_per_second": 1.053,
      "step": 44
    },
    {
      "epoch": 4.98,
      "eval_accuracy": 0.3663366436958313,
      "eval_loss": 1.5986249446868896,
      "eval_runtime": 63.7365,
      "eval_samples_per_second": 33.278,
      "eval_steps_per_second": 1.051,
      "step": 55
    },
    {
      "epoch": 5.98,
      "eval_accuracy": 0.42904290556907654,
      "eval_loss": 1.8822154998779297,
      "eval_runtime": 63.6958,
      "eval_samples_per_second": 33.299,
      "eval_steps_per_second": 1.052,
      "step": 66
    },
    {
      "epoch": 6.98,
      "eval_accuracy": 0.34983497858047485,
      "eval_loss": 1.865776538848877,
      "eval_runtime": 63.1847,
      "eval_samples_per_second": 33.568,
      "eval_steps_per_second": 1.06,
      "step": 77
    },
    {
      "epoch": 7.98,
      "eval_accuracy": 0.4502592980861664,
      "eval_loss": 1.966166377067566,
      "eval_runtime": 63.6503,
      "eval_samples_per_second": 33.323,
      "eval_steps_per_second": 1.053,
      "step": 88
    },
    {
      "epoch": 8.98,
      "eval_accuracy": 0.6855257153511047,
      "eval_loss": 1.0679948329925537,
      "eval_runtime": 63.1701,
      "eval_samples_per_second": 33.576,
      "eval_steps_per_second": 1.061,
      "step": 99
    }
  ],
  "max_steps": 550,
  "num_train_epochs": 50,
  "total_flos": 2.8846941106899534e+19,
  "trial_name": null,
  "trial_params": null
}