Hugging Face's logo

qmeeus
/
whisper-small-multilingual-spoken-ner-end2end-lora-v2

PEFT
Safetensors
whisper
Generated from Trainer
Eval Results
Model card Files Community
whisper-small-multilingual-spoken-ner-end2end-lora-v2
File size: 2,422 Bytes 
74277cb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.2,
  "eval_steps": 500,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02,
      "learning_rate": 1.9600000000000003e-06,
      "loss": 4.1002,
      "step": 100
    },
    {
      "epoch": 0.04,
      "learning_rate": 3.96e-06,
      "loss": 3.4625,
      "step": 200
    },
    {
      "epoch": 0.06,
      "learning_rate": 5.9600000000000005e-06,
      "loss": 2.4907,
      "step": 300
    },
    {
      "epoch": 0.08,
      "learning_rate": 7.960000000000002e-06,
      "loss": 1.5881,
      "step": 400
    },
    {
      "epoch": 0.1,
      "learning_rate": 9.960000000000001e-06,
      "loss": 1.1583,
      "step": 500
    },
    {
      "epoch": 0.1,
      "eval_combined_wer": 0.3216761184625079,
      "eval_f1_score": 0.07455306200076076,
      "eval_label_f1": 0.1414986686953214,
      "eval_loss": 1.0361335277557373,
      "eval_runtime": 337.7385,
      "eval_samples_per_second": 2.961,
      "eval_steps_per_second": 0.047,
      "eval_wer": 0.20672983948946044,
      "step": 500
    },
    {
      "epoch": 0.12,
      "learning_rate": 9.98830238119205e-06,
      "loss": 0.9384,
      "step": 600
    },
    {
      "epoch": 0.14,
      "learning_rate": 9.952307128483257e-06,
      "loss": 0.7396,
      "step": 700
    },
    {
      "epoch": 0.16,
      "learning_rate": 9.892184733248666e-06,
      "loss": 0.4787,
      "step": 800
    },
    {
      "epoch": 0.18,
      "learning_rate": 9.808228105754378e-06,
      "loss": 0.436,
      "step": 900
    },
    {
      "epoch": 0.2,
      "learning_rate": 9.700846274250252e-06,
      "loss": 0.4069,
      "step": 1000
    },
    {
      "epoch": 0.2,
      "eval_combined_wer": 0.22034499054820417,
      "eval_f1_score": 0.4222737819025522,
      "eval_label_f1": 0.5939675174013921,
      "eval_loss": 0.4110757112503052,
      "eval_runtime": 259.1805,
      "eval_samples_per_second": 3.858,
      "eval_steps_per_second": 0.062,
      "eval_wer": 0.12349642235544382,
      "step": 1000
    }
  ],
  "logging_steps": 100,
  "max_steps": 5000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9223372036854775807,
  "save_steps": 500,
  "total_flos": 3.729225940992e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}