Hugging Face's logo

Majid097
/
distilbert-base-uncased-finetuned-cola

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
distilbert-base-uncased-finetuned-cola
File size: 2,849 Bytes 
9ff452c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.4033061591161787,
  "best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-2/checkpoint-4276",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 4276,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.23386342376052385,
      "grad_norm": 3.80633282661438,
      "learning_rate": 1.4038087770081304e-06,
      "loss": 0.6287,
      "step": 500
    },
    {
      "epoch": 0.4677268475210477,
      "grad_norm": 5.112864017486572,
      "learning_rate": 1.3349270902069464e-06,
      "loss": 0.5844,
      "step": 1000
    },
    {
      "epoch": 0.7015902712815716,
      "grad_norm": 16.39091682434082,
      "learning_rate": 1.2660454034057625e-06,
      "loss": 0.5781,
      "step": 1500
    },
    {
      "epoch": 0.9354536950420954,
      "grad_norm": 7.839633464813232,
      "learning_rate": 1.1971637166045783e-06,
      "loss": 0.5482,
      "step": 2000
    },
    {
      "epoch": 1.0,
      "eval_loss": 0.5578071475028992,
      "eval_matthews_correlation": 0.25376727839543856,
      "eval_runtime": 1.0111,
      "eval_samples_per_second": 1031.593,
      "eval_steps_per_second": 129.567,
      "step": 2138
    },
    {
      "epoch": 1.1693171188026192,
      "grad_norm": 17.102230072021484,
      "learning_rate": 1.1282820298033944e-06,
      "loss": 0.5349,
      "step": 2500
    },
    {
      "epoch": 1.4031805425631432,
      "grad_norm": 14.366960525512695,
      "learning_rate": 1.0594003430022104e-06,
      "loss": 0.5129,
      "step": 3000
    },
    {
      "epoch": 1.637043966323667,
      "grad_norm": 26.894271850585938,
      "learning_rate": 9.905186562010263e-07,
      "loss": 0.482,
      "step": 3500
    },
    {
      "epoch": 1.8709073900841908,
      "grad_norm": 9.88732624053955,
      "learning_rate": 9.216369693998422e-07,
      "loss": 0.4997,
      "step": 4000
    },
    {
      "epoch": 2.0,
      "eval_loss": 0.5702487230300903,
      "eval_matthews_correlation": 0.4033061591161787,
      "eval_runtime": 1.0209,
      "eval_samples_per_second": 1021.619,
      "eval_steps_per_second": 128.315,
      "step": 4276
    }
  ],
  "logging_steps": 500,
  "max_steps": 10690,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 65437860034512.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.4726904638093145e-06,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 4,
    "seed": 37
  }
}