Hugging Face's logo

xshubhamx
/
legal-bert-base-uncased

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
legal-bert-base-uncased
File size: 7,998 Bytes 
2d461f8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
 
{
  "best_metric": 0.7839844036299938,
  "best_model_checkpoint": "legal-bert-base-uncased/checkpoint-3858",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 4501,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.78,
      "grad_norm": 6.735908031463623,
      "learning_rate": 4.742353551062727e-05,
      "loss": 1.1096,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7978311386522076,
      "eval_f1_macro": 0.613418966848975,
      "eval_f1_micro": 0.7978311386522076,
      "eval_f1_weighted": 0.7839880886224406,
      "eval_loss": 0.6747979521751404,
      "eval_macro_fpr": 0.018830502815301575,
      "eval_macro_sensitivity": 0.6339578261148517,
      "eval_macro_specificity": 0.9845345883924012,
      "eval_precision": 0.7854860044786733,
      "eval_precision_macro": 0.6239440349375213,
      "eval_recall": 0.7978311386522076,
      "eval_recall_macro": 0.6339578261148517,
      "eval_runtime": 30.9921,
      "eval_samples_per_second": 41.656,
      "eval_steps_per_second": 5.227,
      "eval_weighted_fpr": 0.017778080512226686,
      "eval_weighted_sensitivity": 0.7978311386522076,
      "eval_weighted_specificity": 0.9701876872338092,
      "step": 643
    },
    {
      "epoch": 1.56,
      "grad_norm": 6.824150562286377,
      "learning_rate": 4.48315189217211e-05,
      "loss": 0.6187,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8109992254066615,
      "eval_f1_macro": 0.7268228216676939,
      "eval_f1_micro": 0.8109992254066615,
      "eval_f1_weighted": 0.8089875323563979,
      "eval_loss": 0.6449354887008667,
      "eval_macro_fpr": 0.016938802987367406,
      "eval_macro_sensitivity": 0.7327307314578203,
      "eval_macro_specificity": 0.9857686909763926,
      "eval_precision": 0.8196084470842065,
      "eval_precision_macro": 0.7805936449528967,
      "eval_recall": 0.8109992254066615,
      "eval_recall_macro": 0.7327307314578203,
      "eval_runtime": 58.3071,
      "eval_samples_per_second": 22.141,
      "eval_steps_per_second": 2.778,
      "eval_weighted_fpr": 0.016373641121997046,
      "eval_weighted_sensitivity": 0.8109992254066615,
      "eval_weighted_specificity": 0.9755311392392266,
      "step": 1286
    },
    {
      "epoch": 2.33,
      "grad_norm": 20.75279998779297,
      "learning_rate": 4.223950233281493e-05,
      "loss": 0.4747,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.814872192099148,
      "eval_f1_macro": 0.7369957890904685,
      "eval_f1_micro": 0.814872192099148,
      "eval_f1_weighted": 0.8124596447054482,
      "eval_loss": 0.8151384592056274,
      "eval_macro_fpr": 0.016571707879599946,
      "eval_macro_sensitivity": 0.739039840019417,
      "eval_macro_specificity": 0.9860629698102752,
      "eval_precision": 0.8192276160546627,
      "eval_precision_macro": 0.7659183928188651,
      "eval_recall": 0.814872192099148,
      "eval_recall_macro": 0.739039840019417,
      "eval_runtime": 55.9094,
      "eval_samples_per_second": 23.091,
      "eval_steps_per_second": 2.898,
      "eval_weighted_fpr": 0.015968463954032203,
      "eval_weighted_sensitivity": 0.814872192099148,
      "eval_weighted_specificity": 0.9760723550549795,
      "step": 1929
    },
    {
      "epoch": 3.11,
      "grad_norm": 10.737870216369629,
      "learning_rate": 3.9652669777086575e-05,
      "loss": 0.3866,
      "step": 2000
    },
    {
      "epoch": 3.89,
      "grad_norm": 13.75886344909668,
      "learning_rate": 3.7060653188180404e-05,
      "loss": 0.2645,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8218435321456236,
      "eval_f1_macro": 0.738478964900184,
      "eval_f1_micro": 0.8218435321456236,
      "eval_f1_weighted": 0.8189030195253059,
      "eval_loss": 0.9344585537910461,
      "eval_macro_fpr": 0.015763618193954002,
      "eval_macro_sensitivity": 0.7412892486668318,
      "eval_macro_specificity": 0.986618111597957,
      "eval_precision": 0.8198244063808544,
      "eval_precision_macro": 0.7446229748697999,
      "eval_recall": 0.8218435321456236,
      "eval_recall_macro": 0.7412892486668318,
      "eval_runtime": 75.578,
      "eval_samples_per_second": 17.082,
      "eval_steps_per_second": 2.143,
      "eval_weighted_fpr": 0.015247944842216919,
      "eval_weighted_sensitivity": 0.8218435321456236,
      "eval_weighted_specificity": 0.9774281418237326,
      "step": 2572
    },
    {
      "epoch": 4.67,
      "grad_norm": 8.32991886138916,
      "learning_rate": 3.4468636599274234e-05,
      "loss": 0.1901,
      "step": 3000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8195197521301317,
      "eval_f1_macro": 0.7594855831156184,
      "eval_f1_micro": 0.8195197521301317,
      "eval_f1_weighted": 0.81658937168797,
      "eval_loss": 1.0929232835769653,
      "eval_macro_fpr": 0.01614879224826684,
      "eval_macro_sensitivity": 0.743232314276478,
      "eval_macro_specificity": 0.9863035723232563,
      "eval_precision": 0.8241924882578779,
      "eval_precision_macro": 0.8264084869739744,
      "eval_recall": 0.8195197521301317,
      "eval_recall_macro": 0.743232314276478,
      "eval_runtime": 65.7326,
      "eval_samples_per_second": 19.64,
      "eval_steps_per_second": 2.465,
      "eval_weighted_fpr": 0.01548687271518777,
      "eval_weighted_sensitivity": 0.8195197521301317,
      "eval_weighted_specificity": 0.9750338327187125,
      "step": 3215
    },
    {
      "epoch": 5.44,
      "grad_norm": 50.74209976196289,
      "learning_rate": 3.187662001036807e-05,
      "loss": 0.1131,
      "step": 3500
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.820294345468629,
      "eval_f1_macro": 0.7839844036299938,
      "eval_f1_micro": 0.8202943454686291,
      "eval_f1_weighted": 0.8197212343639901,
      "eval_loss": 1.1536158323287964,
      "eval_macro_fpr": 0.01593810671400651,
      "eval_macro_sensitivity": 0.7786487516932519,
      "eval_macro_specificity": 0.9864617261648754,
      "eval_precision": 0.821246410485655,
      "eval_precision_macro": 0.7968460348821496,
      "eval_recall": 0.820294345468629,
      "eval_recall_macro": 0.7786487516932519,
      "eval_runtime": 54.9389,
      "eval_samples_per_second": 23.499,
      "eval_steps_per_second": 2.949,
      "eval_weighted_fpr": 0.015407092575375215,
      "eval_weighted_sensitivity": 0.820294345468629,
      "eval_weighted_specificity": 0.9766315470045015,
      "step": 3858
    },
    {
      "epoch": 6.22,
      "grad_norm": 0.02055634744465351,
      "learning_rate": 2.928978745463971e-05,
      "loss": 0.0975,
      "step": 4000
    },
    {
      "epoch": 7.0,
      "grad_norm": 32.151573181152344,
      "learning_rate": 2.669777086573354e-05,
      "loss": 0.063,
      "step": 4500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8117738187451587,
      "eval_f1_macro": 0.7495479890901372,
      "eval_f1_micro": 0.8117738187451587,
      "eval_f1_weighted": 0.8135965211162124,
      "eval_loss": 1.3217942714691162,
      "eval_macro_fpr": 0.01664162427116977,
      "eval_macro_sensitivity": 0.7526435450791772,
      "eval_macro_specificity": 0.9859379584321952,
      "eval_precision": 0.818420676521013,
      "eval_precision_macro": 0.7517839435012339,
      "eval_recall": 0.8117738187451587,
      "eval_recall_macro": 0.7526435450791772,
      "eval_runtime": 59.9636,
      "eval_samples_per_second": 21.53,
      "eval_steps_per_second": 2.702,
      "eval_weighted_fpr": 0.016292323164599398,
      "eval_weighted_sensitivity": 0.8117738187451587,
      "eval_weighted_specificity": 0.9772955577377688,
      "step": 4501
    }
  ],
  "logging_steps": 500,
  "max_steps": 9645,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 15,
  "save_steps": 500,
  "total_flos": 9464156761135104.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}