Hugging Face's logo

mbruton
/
spa_en_XLM-R

Token Classification
Transformers
PyTorch
Spanish
English
xlm-roberta
Inference Endpoints
Model card Files Community
spa_en_XLM-R
File size: 4,401 Bytes 
3d053de
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.24537943303585052,
  "best_model_checkpoint": "spa_en_XLM-R/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": 1.0832,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8977022223104879,
      "eval_f1": 0.700260468843919,
      "eval_loss": 0.40005847811698914,
      "eval_precision": 0.70720356131121,
      "eval_recall": 0.6934523809523809,
      "eval_runtime": 6.1063,
      "eval_samples_per_second": 270.867,
      "eval_steps_per_second": 17.032,
      "step": 896
    },
    {
      "epoch": 1.12,
      "learning_rate": 1.9776785714285716e-05,
      "loss": 0.4679,
      "step": 1000
    },
    {
      "epoch": 1.67,
      "learning_rate": 1.9665178571428575e-05,
      "loss": 0.3483,
      "step": 1500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9241753222250909,
      "eval_f1": 0.7838645418326693,
      "eval_loss": 0.29495811462402344,
      "eval_precision": 0.787,
      "eval_recall": 0.7807539682539683,
      "eval_runtime": 6.0415,
      "eval_samples_per_second": 273.772,
      "eval_steps_per_second": 17.214,
      "step": 1792
    },
    {
      "epoch": 2.23,
      "learning_rate": 1.955357142857143e-05,
      "loss": 0.2969,
      "step": 2000
    },
    {
      "epoch": 2.79,
      "learning_rate": 1.944196428571429e-05,
      "loss": 0.255,
      "step": 2500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9284054574702599,
      "eval_f1": 0.7996062346185396,
      "eval_loss": 0.26967716217041016,
      "eval_precision": 0.7934874633669814,
      "eval_recall": 0.8058201058201058,
      "eval_runtime": 6.0465,
      "eval_samples_per_second": 273.548,
      "eval_steps_per_second": 17.2,
      "step": 2688
    },
    {
      "epoch": 3.35,
      "learning_rate": 1.9330357142857144e-05,
      "loss": 0.2169,
      "step": 3000
    },
    {
      "epoch": 3.91,
      "learning_rate": 1.9218750000000003e-05,
      "loss": 0.1974,
      "step": 3500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9298750819216333,
      "eval_f1": 0.8009127587803426,
      "eval_loss": 0.26213282346725464,
      "eval_precision": 0.8009657362084932,
      "eval_recall": 0.8008597883597883,
      "eval_runtime": 6.0415,
      "eval_samples_per_second": 273.772,
      "eval_steps_per_second": 17.214,
      "step": 3584
    },
    {
      "epoch": 4.46,
      "learning_rate": 1.910714285714286e-05,
      "loss": 0.1762,
      "step": 4000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.93652811153258,
      "eval_f1": 0.8240402644823843,
      "eval_loss": 0.24596205353736877,
      "eval_precision": 0.819752601610053,
      "eval_recall": 0.8283730158730159,
      "eval_runtime": 6.0563,
      "eval_samples_per_second": 273.104,
      "eval_steps_per_second": 17.172,
      "step": 4480
    },
    {
      "epoch": 5.02,
      "learning_rate": 1.8995535714285717e-05,
      "loss": 0.1653,
      "step": 4500
    },
    {
      "epoch": 5.58,
      "learning_rate": 1.8883928571428573e-05,
      "loss": 0.1407,
      "step": 5000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9387524079995234,
      "eval_f1": 0.8292650658199379,
      "eval_loss": 0.24537943303585052,
      "eval_precision": 0.8294296678576154,
      "eval_recall": 0.8291005291005291,
      "eval_runtime": 6.1619,
      "eval_samples_per_second": 268.424,
      "eval_steps_per_second": 16.878,
      "step": 5376
    },
    {
      "epoch": 6.14,
      "learning_rate": 1.8772321428571428e-05,
      "loss": 0.1362,
      "step": 5500
    },
    {
      "epoch": 6.7,
      "learning_rate": 1.8660714285714287e-05,
      "loss": 0.1214,
      "step": 6000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.937699839135702,
      "eval_f1": 0.826859776168532,
      "eval_loss": 0.2580417990684509,
      "eval_precision": 0.8230668414154653,
      "eval_recall": 0.8306878306878307,
      "eval_runtime": 6.2734,
      "eval_samples_per_second": 263.652,
      "eval_steps_per_second": 16.578,
      "step": 6272
    }
  ],
  "max_steps": 89600,
  "num_train_epochs": 100,
  "total_flos": 4856704636063104.0,
  "trial_name": null,
  "trial_params": null
}