Hugging Face's logo

mbruton
/
spa_pt_mBERT

Token Classification
Transformers
PyTorch
Spanish
Portuguese
bert
Model card Files
xet
Community
1
spa_pt_mBERT
File size: 4,401 Bytes 
c6d1f47
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.27455607056617737,
  "best_model_checkpoint": "spa_pt_mBERT/checkpoint-5376",
  "epoch": 7.0,
  "global_step": 6272,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.56,
      "learning_rate": 1.988839285714286e-05,
      "loss": 1.0209,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8978809604194388,
      "eval_f1": 0.7095500646654416,
      "eval_loss": 0.40043166279792786,
      "eval_precision": 0.7308932828495303,
      "eval_recall": 0.6894179894179894,
      "eval_runtime": 5.9806,
      "eval_samples_per_second": 276.562,
      "eval_steps_per_second": 17.39,
      "step": 896
    },
    {
      "epoch": 1.12,
      "learning_rate": 1.9776785714285716e-05,
      "loss": 0.4614,
      "step": 1000
    },
    {
      "epoch": 1.67,
      "learning_rate": 1.9665178571428575e-05,
      "loss": 0.3426,
      "step": 1500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.89666951323655,
      "eval_f1": 0.6962397966010972,
      "eval_loss": 0.36208459734916687,
      "eval_precision": 0.7044408340102898,
      "eval_recall": 0.6882275132275132,
      "eval_runtime": 5.864,
      "eval_samples_per_second": 282.06,
      "eval_steps_per_second": 17.735,
      "step": 1792
    },
    {
      "epoch": 2.23,
      "learning_rate": 1.955357142857143e-05,
      "loss": 0.2911,
      "step": 2000
    },
    {
      "epoch": 2.79,
      "learning_rate": 1.944196428571429e-05,
      "loss": 0.2507,
      "step": 2500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9245327984429925,
      "eval_f1": 0.7879008024304065,
      "eval_loss": 0.2839251160621643,
      "eval_precision": 0.7867836180175427,
      "eval_recall": 0.7890211640211641,
      "eval_runtime": 5.9716,
      "eval_samples_per_second": 276.979,
      "eval_steps_per_second": 17.416,
      "step": 2688
    },
    {
      "epoch": 3.35,
      "learning_rate": 1.9330357142857144e-05,
      "loss": 0.2109,
      "step": 3000
    },
    {
      "epoch": 3.91,
      "learning_rate": 1.9218750000000003e-05,
      "loss": 0.191,
      "step": 3500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9295176057037317,
      "eval_f1": 0.8031677940933839,
      "eval_loss": 0.2753179669380188,
      "eval_precision": 0.8014487981560751,
      "eval_recall": 0.8048941798941799,
      "eval_runtime": 5.8922,
      "eval_samples_per_second": 280.709,
      "eval_steps_per_second": 17.65,
      "step": 3584
    },
    {
      "epoch": 4.46,
      "learning_rate": 1.910714285714286e-05,
      "loss": 0.168,
      "step": 4000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.932397275236828,
      "eval_f1": 0.8128352871051064,
      "eval_loss": 0.27723604440689087,
      "eval_precision": 0.8139673696776761,
      "eval_recall": 0.8117063492063492,
      "eval_runtime": 5.9959,
      "eval_samples_per_second": 275.857,
      "eval_steps_per_second": 17.345,
      "step": 4480
    },
    {
      "epoch": 5.02,
      "learning_rate": 1.8995535714285717e-05,
      "loss": 0.1551,
      "step": 4500
    },
    {
      "epoch": 5.58,
      "learning_rate": 1.8883928571428573e-05,
      "loss": 0.1323,
      "step": 5000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9337080213691339,
      "eval_f1": 0.8170909573057545,
      "eval_loss": 0.27455607056617737,
      "eval_precision": 0.8190457203615098,
      "eval_recall": 0.8151455026455027,
      "eval_runtime": 5.9697,
      "eval_samples_per_second": 277.067,
      "eval_steps_per_second": 17.421,
      "step": 5376
    },
    {
      "epoch": 6.14,
      "learning_rate": 1.8772321428571428e-05,
      "loss": 0.1276,
      "step": 5500
    },
    {
      "epoch": 6.7,
      "learning_rate": 1.8660714285714287e-05,
      "loss": 0.1112,
      "step": 6000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9358131590967768,
      "eval_f1": 0.823094688221709,
      "eval_loss": 0.28870320320129395,
      "eval_precision": 0.8211981566820277,
      "eval_recall": 0.825,
      "eval_runtime": 5.8998,
      "eval_samples_per_second": 280.348,
      "eval_steps_per_second": 17.628,
      "step": 6272
    }
  ],
  "max_steps": 89600,
  "num_train_epochs": 100,
  "total_flos": 4576312134542016.0,
  "trial_name": null,
  "trial_params": null
}