Hugging Face's logo

shiv2050
/
autotrain-s2tfh-shivj5l

Text Classification
Transformers
Safetensors
bert
Trained with AutoTrain
Model card Files Community
autotrain-s2tfh-shivj5l
File size: 2,332 Bytes 
432759c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.5295487642288208,
  "best_model_checkpoint": "autotrain-s2tfh-shivj5l/checkpoint-6",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 6,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.5,
      "grad_norm": 7.717057704925537,
      "learning_rate": 5e-05,
      "loss": 0.5474,
      "step": 1
    },
    {
      "epoch": 1.0,
      "grad_norm": 3.8525986671447754,
      "learning_rate": 4e-05,
      "loss": 0.6347,
      "step": 2
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.75,
      "eval_auc": 0.33333333333333337,
      "eval_f1": 0.0,
      "eval_loss": 0.5581548810005188,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 0.7982,
      "eval_samples_per_second": 5.011,
      "eval_steps_per_second": 1.253,
      "step": 2
    },
    {
      "epoch": 1.5,
      "grad_norm": 4.873136043548584,
      "learning_rate": 3e-05,
      "loss": 0.4156,
      "step": 3
    },
    {
      "epoch": 2.0,
      "grad_norm": 5.227407455444336,
      "learning_rate": 2e-05,
      "loss": 0.6143,
      "step": 4
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.75,
      "eval_auc": 1.0,
      "eval_f1": 0.0,
      "eval_loss": 0.5400429964065552,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 0.9043,
      "eval_samples_per_second": 4.423,
      "eval_steps_per_second": 1.106,
      "step": 4
    },
    {
      "epoch": 2.5,
      "grad_norm": 4.113026142120361,
      "learning_rate": 1e-05,
      "loss": 0.4983,
      "step": 5
    },
    {
      "epoch": 3.0,
      "grad_norm": 4.6406941413879395,
      "learning_rate": 0.0,
      "loss": 0.4676,
      "step": 6
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.75,
      "eval_auc": 1.0,
      "eval_f1": 0.0,
      "eval_loss": 0.5295487642288208,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 0.8354,
      "eval_samples_per_second": 4.788,
      "eval_steps_per_second": 1.197,
      "step": 6
    }
  ],
  "logging_steps": 1,
  "max_steps": 6,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 3157332664320.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}