Hugging Face's logo

dccuchile
/
distilbert-base-spanish-uncased-finetuned-qa-sqac

Question Answering
Transformers
PyTorch
distilbert
Inference Endpoints
Model card Files Community
distilbert-base-spanish-uncased-finetuned-qa-sqac
File size: 4,338 Bytes 
3610e05
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 63.88217177699186,
  "best_model_checkpoint": "/data/jcanete/all_results/sqac/distillbeto/epochs_4_bs_16_lr_5e-5/checkpoint-3600",
  "epoch": 4.0,
  "global_step": 4156,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.19,
      "eval_exact_match": 8.959227467811159,
      "eval_f1": 18.27584505760202,
      "step": 200
    },
    {
      "epoch": 0.38,
      "eval_exact_match": 19.15236051502146,
      "eval_f1": 35.446786517907775,
      "step": 400
    },
    {
      "epoch": 0.48,
      "learning_rate": 4.402069297401348e-05,
      "loss": 3.5504,
      "step": 500
    },
    {
      "epoch": 0.58,
      "eval_exact_match": 28.916309012875537,
      "eval_f1": 46.039519440199285,
      "step": 600
    },
    {
      "epoch": 0.77,
      "eval_exact_match": 34.17381974248927,
      "eval_f1": 51.92505825555892,
      "step": 800
    },
    {
      "epoch": 0.96,
      "learning_rate": 3.800529355149182e-05,
      "loss": 2.427,
      "step": 1000
    },
    {
      "epoch": 0.96,
      "eval_exact_match": 37.71459227467811,
      "eval_f1": 55.374436147788664,
      "step": 1000
    },
    {
      "epoch": 1.15,
      "eval_exact_match": 39.216738197424895,
      "eval_f1": 57.333325590107926,
      "step": 1200
    },
    {
      "epoch": 1.35,
      "eval_exact_match": 42.27467811158798,
      "eval_f1": 59.56679980116175,
      "step": 1400
    },
    {
      "epoch": 1.44,
      "learning_rate": 3.1989894128970165e-05,
      "loss": 1.6405,
      "step": 1500
    },
    {
      "epoch": 1.54,
      "eval_exact_match": 42.7038626609442,
      "eval_f1": 59.74522889845748,
      "step": 1600
    },
    {
      "epoch": 1.73,
      "eval_exact_match": 44.47424892703863,
      "eval_f1": 61.88744236282341,
      "step": 1800
    },
    {
      "epoch": 1.92,
      "learning_rate": 2.597449470644851e-05,
      "loss": 1.5245,
      "step": 2000
    },
    {
      "epoch": 1.92,
      "eval_exact_match": 43.562231759656655,
      "eval_f1": 61.742252102489076,
      "step": 2000
    },
    {
      "epoch": 2.12,
      "eval_exact_match": 44.527896995708154,
      "eval_f1": 62.510713884003145,
      "step": 2200
    },
    {
      "epoch": 2.31,
      "eval_exact_match": 44.09871244635193,
      "eval_f1": 61.82732823382964,
      "step": 2400
    },
    {
      "epoch": 2.41,
      "learning_rate": 1.9971126082771897e-05,
      "loss": 1.1014,
      "step": 2500
    },
    {
      "epoch": 2.5,
      "eval_exact_match": 44.4206008583691,
      "eval_f1": 62.43808399893021,
      "step": 2600
    },
    {
      "epoch": 2.69,
      "eval_exact_match": 44.68884120171674,
      "eval_f1": 61.28700070537817,
      "step": 2800
    },
    {
      "epoch": 2.89,
      "learning_rate": 1.395572666025024e-05,
      "loss": 0.9906,
      "step": 3000
    },
    {
      "epoch": 2.89,
      "eval_exact_match": 45.01072961373391,
      "eval_f1": 62.82370988061508,
      "step": 3000
    },
    {
      "epoch": 3.08,
      "eval_exact_match": 45.11802575107296,
      "eval_f1": 63.06687333231593,
      "step": 3200
    },
    {
      "epoch": 3.27,
      "eval_exact_match": 45.708154506437765,
      "eval_f1": 63.02210675456867,
      "step": 3400
    },
    {
      "epoch": 3.37,
      "learning_rate": 7.95235803657363e-06,
      "loss": 0.7625,
      "step": 3500
    },
    {
      "epoch": 3.46,
      "eval_exact_match": 46.24463519313305,
      "eval_f1": 63.88217177699186,
      "step": 3600
    },
    {
      "epoch": 3.66,
      "eval_exact_match": 46.24463519313305,
      "eval_f1": 63.6386746913192,
      "step": 3800
    },
    {
      "epoch": 3.85,
      "learning_rate": 1.936958614051973e-06,
      "loss": 0.6729,
      "step": 4000
    },
    {
      "epoch": 3.85,
      "eval_exact_match": 46.08369098712446,
      "eval_f1": 63.82552212938861,
      "step": 4000
    },
    {
      "epoch": 4.0,
      "step": 4156,
      "total_flos": 8497742952631296.0,
      "train_loss": 1.5509035589605484,
      "train_runtime": 2076.6526,
      "train_samples_per_second": 32.021,
      "train_steps_per_second": 2.001
    }
  ],
  "max_steps": 4156,
  "num_train_epochs": 4,
  "total_flos": 8497742952631296.0,
  "trial_name": null,
  "trial_params": null
}