Hugging Face's logo

unza
/
xls-r-300m-bemba-fullset

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
BembaSpeech
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
xls-r-300m-bemba-fullset
File size: 2,741 Bytes 
1bd35d6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.2534329295158386,
  "best_model_checkpoint": "./xls-r-300m-bemba-fullset/checkpoint-1000",
  "epoch": 1.9993275050437123,
  "global_step": 1486,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.13,
      "learning_rate": 1.47e-05,
      "loss": 11.7638,
      "step": 100
    },
    {
      "epoch": 0.27,
      "learning_rate": 2.97e-05,
      "loss": 3.7497,
      "step": 200
    },
    {
      "epoch": 0.4,
      "learning_rate": 4.4699999999999996e-05,
      "loss": 3.0287,
      "step": 300
    },
    {
      "epoch": 0.54,
      "learning_rate": 5.97e-05,
      "loss": 2.8222,
      "step": 400
    },
    {
      "epoch": 0.67,
      "learning_rate": 7.47e-05,
      "loss": 2.268,
      "step": 500
    },
    {
      "epoch": 0.67,
      "eval_loss": 1.0355395078659058,
      "eval_runtime": 140.0953,
      "eval_samples_per_second": 11.057,
      "eval_steps_per_second": 1.385,
      "eval_wer": 0.9928986442866365,
      "step": 500
    },
    {
      "epoch": 0.81,
      "learning_rate": 8.969999999999998e-05,
      "loss": 1.1597,
      "step": 600
    },
    {
      "epoch": 0.94,
      "learning_rate": 0.00010469999999999998,
      "loss": 0.9172,
      "step": 700
    },
    {
      "epoch": 1.08,
      "learning_rate": 0.0001197,
      "loss": 0.8284,
      "step": 800
    },
    {
      "epoch": 1.21,
      "learning_rate": 0.0001347,
      "loss": 0.7667,
      "step": 900
    },
    {
      "epoch": 1.35,
      "learning_rate": 0.00014969999999999998,
      "loss": 0.7365,
      "step": 1000
    },
    {
      "epoch": 1.35,
      "eval_loss": 0.2534329295158386,
      "eval_runtime": 132.8836,
      "eval_samples_per_second": 11.657,
      "eval_steps_per_second": 1.46,
      "eval_wer": 0.8469980632666236,
      "step": 1000
    },
    {
      "epoch": 1.48,
      "learning_rate": 0.0001647,
      "loss": 0.7227,
      "step": 1100
    },
    {
      "epoch": 1.61,
      "learning_rate": 0.00017969999999999998,
      "loss": 0.7068,
      "step": 1200
    },
    {
      "epoch": 1.75,
      "learning_rate": 0.0001947,
      "loss": 0.6875,
      "step": 1300
    },
    {
      "epoch": 1.88,
      "learning_rate": 0.00020969999999999997,
      "loss": 0.6798,
      "step": 1400
    },
    {
      "epoch": 2.0,
      "step": 1486,
      "total_flos": 4.4337322315078743e+18,
      "train_loss": 2.1141159319460474,
      "train_runtime": 3966.7132,
      "train_samples_per_second": 5.996,
      "train_steps_per_second": 0.375
    }
  ],
  "max_steps": 1486,
  "num_train_epochs": 2,
  "total_flos": 4.4337322315078743e+18,
  "trial_name": null,
  "trial_params": null
}