Hugging Face's logo

NLPinas
/
EMoBERT-tl

Text Classification
Transformers
PyTorch
roberta
Inference Endpoints
Model card Files Community
1
EMoBERT-tl
File size: 4,759 Bytes 
078f0be
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 28.125,
  "eval_steps": 100,
  "global_step": 900,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 3.12,
      "learning_rate": 8.958333333333334e-07,
      "loss": 0.5457,
      "step": 100
    },
    {
      "epoch": 3.12,
      "eval_accuracy": 0.783256880733945,
      "eval_f1": 0.8134254689042448,
      "eval_loss": 0.4702916741371155,
      "eval_precision": 0.8477366255144033,
      "eval_recall": 0.7817836812144212,
      "eval_runtime": 8.092,
      "eval_samples_per_second": 107.761,
      "eval_steps_per_second": 1.73,
      "step": 100
    },
    {
      "epoch": 6.25,
      "learning_rate": 7.916666666666666e-07,
      "loss": 0.4347,
      "step": 200
    },
    {
      "epoch": 6.25,
      "eval_accuracy": 0.8279816513761468,
      "eval_f1": 0.8557692307692307,
      "eval_loss": 0.3783995807170868,
      "eval_precision": 0.8674463937621832,
      "eval_recall": 0.8444022770398482,
      "eval_runtime": 7.9109,
      "eval_samples_per_second": 110.228,
      "eval_steps_per_second": 1.77,
      "step": 200
    },
    {
      "epoch": 9.38,
      "learning_rate": 6.875e-07,
      "loss": 0.3672,
      "step": 300
    },
    {
      "epoch": 9.38,
      "eval_accuracy": 0.8497706422018348,
      "eval_f1": 0.8751191611058151,
      "eval_loss": 0.3128945529460907,
      "eval_precision": 0.8793103448275862,
      "eval_recall": 0.8709677419354839,
      "eval_runtime": 7.9781,
      "eval_samples_per_second": 109.299,
      "eval_steps_per_second": 1.755,
      "step": 300
    },
    {
      "epoch": 12.5,
      "learning_rate": 5.833333333333334e-07,
      "loss": 0.3251,
      "step": 400
    },
    {
      "epoch": 12.5,
      "eval_accuracy": 0.8658256880733946,
      "eval_f1": 0.8925619834710744,
      "eval_loss": 0.29092392325401306,
      "eval_precision": 0.8647686832740213,
      "eval_recall": 0.9222011385199241,
      "eval_runtime": 8.2084,
      "eval_samples_per_second": 106.233,
      "eval_steps_per_second": 1.706,
      "step": 400
    },
    {
      "epoch": 15.62,
      "learning_rate": 4.791666666666667e-07,
      "loss": 0.2957,
      "step": 500
    },
    {
      "epoch": 15.62,
      "eval_accuracy": 0.8715596330275229,
      "eval_f1": 0.8968692449355433,
      "eval_loss": 0.27530843019485474,
      "eval_precision": 0.8711985688729875,
      "eval_recall": 0.9240986717267552,
      "eval_runtime": 8.2097,
      "eval_samples_per_second": 106.216,
      "eval_steps_per_second": 1.705,
      "step": 500
    },
    {
      "epoch": 18.75,
      "learning_rate": 3.75e-07,
      "loss": 0.2763,
      "step": 600
    },
    {
      "epoch": 18.75,
      "eval_accuracy": 0.8784403669724771,
      "eval_f1": 0.8990476190476191,
      "eval_loss": 0.25807398557662964,
      "eval_precision": 0.9024856596558317,
      "eval_recall": 0.8956356736242884,
      "eval_runtime": 8.114,
      "eval_samples_per_second": 107.468,
      "eval_steps_per_second": 1.725,
      "step": 600
    },
    {
      "epoch": 21.88,
      "learning_rate": 2.708333333333333e-07,
      "loss": 0.2595,
      "step": 700
    },
    {
      "epoch": 21.88,
      "eval_accuracy": 0.8841743119266054,
      "eval_f1": 0.906567992599445,
      "eval_loss": 0.25655582547187805,
      "eval_precision": 0.8844765342960289,
      "eval_recall": 0.9297912713472486,
      "eval_runtime": 8.2553,
      "eval_samples_per_second": 105.63,
      "eval_steps_per_second": 1.696,
      "step": 700
    },
    {
      "epoch": 25.0,
      "learning_rate": 1.6666666666666665e-07,
      "loss": 0.2521,
      "step": 800
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.8807339449541285,
      "eval_f1": 0.9017013232514178,
      "eval_loss": 0.24835383892059326,
      "eval_precision": 0.8983050847457628,
      "eval_recall": 0.905123339658444,
      "eval_runtime": 8.3369,
      "eval_samples_per_second": 104.595,
      "eval_steps_per_second": 1.679,
      "step": 800
    },
    {
      "epoch": 28.12,
      "learning_rate": 6.25e-08,
      "loss": 0.2399,
      "step": 900
    },
    {
      "epoch": 28.12,
      "eval_accuracy": 0.8853211009174312,
      "eval_f1": 0.9070631970260222,
      "eval_loss": 0.2506503164768219,
      "eval_precision": 0.8888888888888888,
      "eval_recall": 0.9259962049335864,
      "eval_runtime": 8.3716,
      "eval_samples_per_second": 104.161,
      "eval_steps_per_second": 1.672,
      "step": 900
    }
  ],
  "logging_steps": 100,
  "max_steps": 960,
  "num_train_epochs": 30,
  "save_steps": 100,
  "total_flos": 3761172536371200.0,
  "trial_name": null,
  "trial_params": null
}