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: 4,848 Bytes 
2ab912e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
 
{
  "best_metric": 0.5430528375733855,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-1532",
  "epoch": 8.0,
  "eval_steps": 500,
  "global_step": 6128,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.4840396046638489,
      "learning_rate": 3.344893789847612e-05,
      "loss": 0.1172,
      "step": 766
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5401174168297456,
      "eval_f1": 0.20068027210884357,
      "eval_loss": 0.10136038810014725,
      "eval_precision": 0.7662337662337663,
      "eval_recall": 0.11545988258317025,
      "eval_runtime": 133.3642,
      "eval_samples_per_second": 7.663,
      "eval_steps_per_second": 1.92,
      "step": 766
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.713012456893921,
      "learning_rate": 2.8670518198693823e-05,
      "loss": 0.1055,
      "step": 1532
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5430528375733855,
      "eval_f1": 0.21247892074198985,
      "eval_loss": 0.10160499066114426,
      "eval_precision": 0.7682926829268293,
      "eval_recall": 0.1232876712328767,
      "eval_runtime": 132.4691,
      "eval_samples_per_second": 7.715,
      "eval_steps_per_second": 1.933,
      "step": 1532
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.46175065636634827,
      "learning_rate": 2.389209849891152e-05,
      "loss": 0.1039,
      "step": 2298
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.5322896281800391,
      "eval_f1": 0.17301038062283738,
      "eval_loss": 0.10080397874116898,
      "eval_precision": 0.746268656716418,
      "eval_recall": 0.09784735812133072,
      "eval_runtime": 133.9804,
      "eval_samples_per_second": 7.628,
      "eval_steps_per_second": 1.911,
      "step": 2298
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.8960716128349304,
      "learning_rate": 1.9113678799129215e-05,
      "loss": 0.1038,
      "step": 3064
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5362035225048923,
      "eval_f1": 0.18835616438356165,
      "eval_loss": 0.10024181753396988,
      "eval_precision": 0.7534246575342466,
      "eval_recall": 0.10763209393346379,
      "eval_runtime": 131.9665,
      "eval_samples_per_second": 7.744,
      "eval_steps_per_second": 1.94,
      "step": 3064
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.2918031215667725,
      "learning_rate": 1.4335259099346911e-05,
      "loss": 0.103,
      "step": 3830
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5401174168297456,
      "eval_f1": 0.20068027210884357,
      "eval_loss": 0.10036557912826538,
      "eval_precision": 0.7662337662337663,
      "eval_recall": 0.11545988258317025,
      "eval_runtime": 134.3935,
      "eval_samples_per_second": 7.605,
      "eval_steps_per_second": 1.905,
      "step": 3830
    },
    {
      "epoch": 6.0,
      "grad_norm": 1.0010789632797241,
      "learning_rate": 9.556839399564608e-06,
      "loss": 0.1025,
      "step": 4596
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5420743639921722,
      "eval_f1": 0.2067796610169491,
      "eval_loss": 0.10058682411909103,
      "eval_precision": 0.7721518987341772,
      "eval_recall": 0.11937377690802348,
      "eval_runtime": 132.5868,
      "eval_samples_per_second": 7.708,
      "eval_steps_per_second": 1.931,
      "step": 4596
    },
    {
      "epoch": 7.0,
      "grad_norm": 0.8870960474014282,
      "learning_rate": 4.778419699782304e-06,
      "loss": 0.1024,
      "step": 5362
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.541095890410959,
      "eval_f1": 0.20373514431239387,
      "eval_loss": 0.10063320398330688,
      "eval_precision": 0.7692307692307693,
      "eval_recall": 0.11741682974559686,
      "eval_runtime": 132.2356,
      "eval_samples_per_second": 7.729,
      "eval_steps_per_second": 1.936,
      "step": 5362
    },
    {
      "epoch": 8.0,
      "grad_norm": 0.9253156185150146,
      "learning_rate": 0.0,
      "loss": 0.1023,
      "step": 6128
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.541095890410959,
      "eval_f1": 0.20373514431239387,
      "eval_loss": 0.10009610652923584,
      "eval_precision": 0.7692307692307693,
      "eval_recall": 0.11741682974559686,
      "eval_runtime": 131.3578,
      "eval_samples_per_second": 7.78,
      "eval_steps_per_second": 1.949,
      "step": 6128
    }
  ],
  "logging_steps": 500,
  "max_steps": 6128,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "save_steps": 500,
  "total_flos": 1885561578240.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.1218013407365569,
    "learning_rate": 3.822735759825843e-05,
    "num_train_epochs": 8,
    "temperature": 6
  }
}