Hugging Face's logo

andricValdez
/
semeval-subtaskB-SpanBERT

Text Classification
Transformers
Safetensors
bert
Inference Endpoints
Model card Files Community
semeval-subtaskB-SpanBERT
File size: 3,198 Bytes 
8e68402
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.331796795129776,
  "best_model_checkpoint": "SpanBERT/spanbert-base-cased/subtaskB/42/checkpoint-3552",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 7104,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.28,
      "learning_rate": 4.718468468468469e-05,
      "loss": 0.7363,
      "step": 500
    },
    {
      "epoch": 0.56,
      "learning_rate": 4.4369369369369375e-05,
      "loss": 0.3567,
      "step": 1000
    },
    {
      "epoch": 0.84,
      "learning_rate": 4.1554054054054055e-05,
      "loss": 0.2911,
      "step": 1500
    },
    {
      "epoch": 1.0,
      "eval_f1": 0.8780092918485147,
      "eval_loss": 0.36068207025527954,
      "eval_runtime": 89.1907,
      "eval_samples_per_second": 159.277,
      "eval_steps_per_second": 4.978,
      "step": 1776
    },
    {
      "epoch": 1.13,
      "learning_rate": 3.873873873873874e-05,
      "loss": 0.2167,
      "step": 2000
    },
    {
      "epoch": 1.41,
      "learning_rate": 3.592342342342343e-05,
      "loss": 0.1731,
      "step": 2500
    },
    {
      "epoch": 1.69,
      "learning_rate": 3.310810810810811e-05,
      "loss": 0.1675,
      "step": 3000
    },
    {
      "epoch": 1.97,
      "learning_rate": 3.0292792792792797e-05,
      "loss": 0.148,
      "step": 3500
    },
    {
      "epoch": 2.0,
      "eval_f1": 0.9015204843024074,
      "eval_loss": 0.331796795129776,
      "eval_runtime": 89.0059,
      "eval_samples_per_second": 159.607,
      "eval_steps_per_second": 4.988,
      "step": 3552
    },
    {
      "epoch": 2.25,
      "learning_rate": 2.7477477477477483e-05,
      "loss": 0.0907,
      "step": 4000
    },
    {
      "epoch": 2.53,
      "learning_rate": 2.4662162162162162e-05,
      "loss": 0.0807,
      "step": 4500
    },
    {
      "epoch": 2.82,
      "learning_rate": 2.1846846846846845e-05,
      "loss": 0.0807,
      "step": 5000
    },
    {
      "epoch": 3.0,
      "eval_f1": 0.8860340701112206,
      "eval_loss": 0.5412303805351257,
      "eval_runtime": 89.0561,
      "eval_samples_per_second": 159.517,
      "eval_steps_per_second": 4.986,
      "step": 5328
    },
    {
      "epoch": 3.1,
      "learning_rate": 1.9031531531531532e-05,
      "loss": 0.0633,
      "step": 5500
    },
    {
      "epoch": 3.38,
      "learning_rate": 1.6216216216216218e-05,
      "loss": 0.0457,
      "step": 6000
    },
    {
      "epoch": 3.66,
      "learning_rate": 1.3400900900900901e-05,
      "loss": 0.0396,
      "step": 6500
    },
    {
      "epoch": 3.94,
      "learning_rate": 1.0585585585585586e-05,
      "loss": 0.0312,
      "step": 7000
    },
    {
      "epoch": 4.0,
      "eval_f1": 0.9003238068421794,
      "eval_loss": 0.6021693348884583,
      "eval_runtime": 89.2552,
      "eval_samples_per_second": 159.162,
      "eval_steps_per_second": 4.975,
      "step": 7104
    }
  ],
  "logging_steps": 500,
  "max_steps": 8880,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 5.980308082023629e+16,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}