Hugging Face's logo

xuancoblab2023
/
tiny-bert-sst2-distilled

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
tiny-bert-sst2-distilled
File size: 3,768 Bytes 
4152099
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
129
130
131
132
133
134
135
136
137
138
139
140
141
 
{
  "best_metric": 0.8160469667318982,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-576",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 576,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.0269759893417358,
      "learning_rate": 5.9043684647359026e-05,
      "loss": 0.5339,
      "step": 96
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7035225048923679,
      "eval_f1": 0.6651933701657459,
      "eval_loss": 0.4725688099861145,
      "eval_precision": 0.7639593908629442,
      "eval_recall": 0.589041095890411,
      "eval_runtime": 28.4268,
      "eval_samples_per_second": 35.952,
      "eval_steps_per_second": 1.126,
      "step": 96
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.4684391021728516,
      "learning_rate": 4.920307053946586e-05,
      "loss": 0.4589,
      "step": 192
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7563600782778865,
      "eval_f1": 0.7537091988130563,
      "eval_loss": 0.4252457022666931,
      "eval_precision": 0.762,
      "eval_recall": 0.7455968688845401,
      "eval_runtime": 28.3965,
      "eval_samples_per_second": 35.99,
      "eval_steps_per_second": 1.127,
      "step": 192
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.83766770362854,
      "learning_rate": 3.9362456431572686e-05,
      "loss": 0.4336,
      "step": 288
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8013698630136986,
      "eval_f1": 0.8122109158186863,
      "eval_loss": 0.41349494457244873,
      "eval_precision": 0.7701754385964912,
      "eval_recall": 0.8590998043052838,
      "eval_runtime": 28.5368,
      "eval_samples_per_second": 35.813,
      "eval_steps_per_second": 1.121,
      "step": 288
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.8088363409042358,
      "learning_rate": 2.9521842323679513e-05,
      "loss": 0.424,
      "step": 384
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7945205479452054,
      "eval_f1": 0.7965116279069767,
      "eval_loss": 0.40849176049232483,
      "eval_precision": 0.7888675623800384,
      "eval_recall": 0.8043052837573386,
      "eval_runtime": 29.2183,
      "eval_samples_per_second": 34.978,
      "eval_steps_per_second": 1.095,
      "step": 384
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.6147538423538208,
      "learning_rate": 1.9681228215786343e-05,
      "loss": 0.4186,
      "step": 480
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8062622309197651,
      "eval_f1": 0.818014705882353,
      "eval_loss": 0.40458473563194275,
      "eval_precision": 0.7712305025996534,
      "eval_recall": 0.8708414872798435,
      "eval_runtime": 30.48,
      "eval_samples_per_second": 33.53,
      "eval_steps_per_second": 1.05,
      "step": 480
    },
    {
      "epoch": 6.0,
      "grad_norm": 3.4918863773345947,
      "learning_rate": 9.840614107893172e-06,
      "loss": 0.4148,
      "step": 576
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8160469667318982,
      "eval_f1": 0.8312387791741472,
      "eval_loss": 0.40512770414352417,
      "eval_precision": 0.7678275290215588,
      "eval_recall": 0.9060665362035225,
      "eval_runtime": 30.2589,
      "eval_samples_per_second": 33.775,
      "eval_steps_per_second": 1.058,
      "step": 576
    }
  ],
  "logging_steps": 500,
  "max_steps": 672,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 1414171183680.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7341280696937652,
    "learning_rate": 6.88842987552522e-05,
    "num_train_epochs": 7,
    "temperature": 8
  }
}