Hugging Face's logo

colerobertson
/
distilhubert-finetuned-not-a-word2

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Inference Endpoints
Model card Files Metrics Community
distilhubert-finetuned-not-a-word2
File size: 2,499 Bytes 
7430914
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.7326732673267327,
  "best_model_checkpoint": "distilhubert-finetuned-not-a-word2/run-7/checkpoint-8",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 32,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.62,
      "grad_norm": 0.9305598735809326,
      "learning_rate": 1.0388926727261681e-05,
      "loss": 0.6973,
      "step": 5
    },
    {
      "epoch": 1.0,
      "eval_f1": 0.7326732673267327,
      "eval_loss": 0.68402099609375,
      "eval_runtime": 1.3601,
      "eval_samples_per_second": 47.054,
      "eval_steps_per_second": 5.882,
      "step": 8
    },
    {
      "epoch": 1.25,
      "grad_norm": 1.470983624458313,
      "learning_rate": 1.6160552686851503e-05,
      "loss": 0.6748,
      "step": 10
    },
    {
      "epoch": 1.88,
      "grad_norm": 0.3902422785758972,
      "learning_rate": 1.5006227494933539e-05,
      "loss": 0.6423,
      "step": 15
    },
    {
      "epoch": 2.0,
      "eval_f1": 0.7326732673267327,
      "eval_loss": 0.6836051940917969,
      "eval_runtime": 1.3646,
      "eval_samples_per_second": 46.9,
      "eval_steps_per_second": 5.863,
      "step": 16
    },
    {
      "epoch": 2.5,
      "grad_norm": 0.4280204772949219,
      "learning_rate": 1.3851902303015575e-05,
      "loss": 0.6311,
      "step": 20
    },
    {
      "epoch": 3.0,
      "eval_f1": 0.7326732673267327,
      "eval_loss": 0.6989364624023438,
      "eval_runtime": 1.3707,
      "eval_samples_per_second": 46.693,
      "eval_steps_per_second": 5.837,
      "step": 24
    },
    {
      "epoch": 3.12,
      "grad_norm": 0.3204731047153473,
      "learning_rate": 1.269757711109761e-05,
      "loss": 0.5902,
      "step": 25
    },
    {
      "epoch": 3.75,
      "grad_norm": 0.26261427998542786,
      "learning_rate": 1.1543251919179645e-05,
      "loss": 0.5967,
      "step": 30
    },
    {
      "epoch": 4.0,
      "eval_f1": 0.7326732673267327,
      "eval_loss": 0.7159881591796875,
      "eval_runtime": 1.3893,
      "eval_samples_per_second": 46.065,
      "eval_steps_per_second": 5.758,
      "step": 32
    }
  ],
  "logging_steps": 5,
  "max_steps": 80,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 3845988443901696.0,
  "train_batch_size": 24,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.662228276361869e-05,
    "per_device_train_batch_size": 24
  }
}