Hugging Face's logo

mbruton
/
spa_en_mBERT

Token Classification
Transformers
PyTorch
Spanish
English
bert
Inference Endpoints
Model card Files Community
spa_en_mBERT
File size: 3,805 Bytes 
59c158b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.27679798007011414,
  "best_model_checkpoint": "spa_en_mBERT/checkpoint-4480",
  "epoch": 6.0,
  "global_step": 5376,
  "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": 1.015,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8975234842015372,
      "eval_f1": 0.7030225599300675,
      "eval_loss": 0.40301570296287537,
      "eval_precision": 0.7149695684879983,
      "eval_recall": 0.691468253968254,
      "eval_runtime": 5.8245,
      "eval_samples_per_second": 283.973,
      "eval_steps_per_second": 17.856,
      "step": 896
    },
    {
      "epoch": 1.12,
      "learning_rate": 1.9776785714285716e-05,
      "loss": 0.466,
      "step": 1000
    },
    {
      "epoch": 1.67,
      "learning_rate": 1.9665178571428575e-05,
      "loss": 0.3444,
      "step": 1500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9197465890810875,
      "eval_f1": 0.772121694173792,
      "eval_loss": 0.30006563663482666,
      "eval_precision": 0.7738142686329215,
      "eval_recall": 0.770436507936508,
      "eval_runtime": 5.9225,
      "eval_samples_per_second": 279.276,
      "eval_steps_per_second": 17.56,
      "step": 1792
    },
    {
      "epoch": 2.23,
      "learning_rate": 1.955357142857143e-05,
      "loss": 0.2916,
      "step": 2000
    },
    {
      "epoch": 2.79,
      "learning_rate": 1.944196428571429e-05,
      "loss": 0.2491,
      "step": 2500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9214545310110619,
      "eval_f1": 0.7768938768773725,
      "eval_loss": 0.2882336974143982,
      "eval_precision": 0.7754859967051071,
      "eval_recall": 0.7783068783068783,
      "eval_runtime": 5.8599,
      "eval_samples_per_second": 282.259,
      "eval_steps_per_second": 17.748,
      "step": 2688
    },
    {
      "epoch": 3.35,
      "learning_rate": 1.9330357142857144e-05,
      "loss": 0.2111,
      "step": 3000
    },
    {
      "epoch": 3.91,
      "learning_rate": 1.9218750000000003e-05,
      "loss": 0.1889,
      "step": 3500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9311659682640557,
      "eval_f1": 0.8087478559176673,
      "eval_loss": 0.279913067817688,
      "eval_precision": 0.8067254540668597,
      "eval_recall": 0.8107804232804233,
      "eval_runtime": 5.8665,
      "eval_samples_per_second": 281.939,
      "eval_steps_per_second": 17.728,
      "step": 3584
    },
    {
      "epoch": 4.46,
      "learning_rate": 1.910714285714286e-05,
      "loss": 0.1683,
      "step": 4000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9332115266220483,
      "eval_f1": 0.8155864706270193,
      "eval_loss": 0.27679798007011414,
      "eval_precision": 0.8130669120546865,
      "eval_recall": 0.8181216931216931,
      "eval_runtime": 6.0326,
      "eval_samples_per_second": 274.178,
      "eval_steps_per_second": 17.24,
      "step": 4480
    },
    {
      "epoch": 5.02,
      "learning_rate": 1.8995535714285717e-05,
      "loss": 0.1568,
      "step": 4500
    },
    {
      "epoch": 5.58,
      "learning_rate": 1.8883928571428573e-05,
      "loss": 0.1313,
      "step": 5000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9282068595714257,
      "eval_f1": 0.7986634908032288,
      "eval_loss": 0.30244389176368713,
      "eval_precision": 0.7989806724913953,
      "eval_recall": 0.7983465608465609,
      "eval_runtime": 5.8739,
      "eval_samples_per_second": 281.583,
      "eval_steps_per_second": 17.705,
      "step": 5376
    }
  ],
  "max_steps": 89600,
  "num_train_epochs": 100,
  "total_flos": 3919265715030336.0,
  "trial_name": null,
  "trial_params": null
}