Hugging Face's logo

StevenLimcorn
/
unsup-promcse-bert-base-uncased-semeval2016-laptops

Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
bert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
unsup-promcse-bert-base-uncased-semeval2016-laptops
File size: 4,503 Bytes 
81a6bc8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.7913689415224279,
  "best_model_checkpoint": "/content/result/semeval-unsup-promcse-bert-base-uncased-semeval2016-laptops",
  "epoch": 30.0,
  "global_step": 2370,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.58,
      "eval_avg_sts": 0.7662035438889292,
      "eval_sickr_spearman": 0.7410381462554306,
      "eval_stsb_spearman": 0.7913689415224279,
      "step": 125
    },
    {
      "epoch": 3.16,
      "eval_avg_sts": 0.7622844935042077,
      "eval_sickr_spearman": 0.7436556491594021,
      "eval_stsb_spearman": 0.7809133378490134,
      "step": 250
    },
    {
      "epoch": 4.75,
      "eval_avg_sts": 0.7643160286763296,
      "eval_sickr_spearman": 0.7401467850749421,
      "eval_stsb_spearman": 0.7884852722777171,
      "step": 375
    },
    {
      "epoch": 6.33,
      "learning_rate": 0.023670886075949367,
      "loss": 0.0008,
      "step": 500
    },
    {
      "epoch": 6.33,
      "eval_avg_sts": 0.736147879900914,
      "eval_sickr_spearman": 0.7162090447402155,
      "eval_stsb_spearman": 0.7560867150616126,
      "step": 500
    },
    {
      "epoch": 7.91,
      "eval_avg_sts": 0.7436231350118074,
      "eval_sickr_spearman": 0.7186257776401757,
      "eval_stsb_spearman": 0.7686204923834391,
      "step": 625
    },
    {
      "epoch": 9.49,
      "eval_avg_sts": 0.7393926207347856,
      "eval_sickr_spearman": 0.7195540747376701,
      "eval_stsb_spearman": 0.7592311667319013,
      "step": 750
    },
    {
      "epoch": 11.08,
      "eval_avg_sts": 0.7452291779176539,
      "eval_sickr_spearman": 0.723164908850483,
      "eval_stsb_spearman": 0.7672934469848247,
      "step": 875
    },
    {
      "epoch": 12.66,
      "learning_rate": 0.017341772151898735,
      "loss": 0.0012,
      "step": 1000
    },
    {
      "epoch": 12.66,
      "eval_avg_sts": 0.7565861527485951,
      "eval_sickr_spearman": 0.7287989090180722,
      "eval_stsb_spearman": 0.7843733964791179,
      "step": 1000
    },
    {
      "epoch": 14.24,
      "eval_avg_sts": 0.7438608566065805,
      "eval_sickr_spearman": 0.7231068392488443,
      "eval_stsb_spearman": 0.7646148739643166,
      "step": 1125
    },
    {
      "epoch": 15.82,
      "eval_avg_sts": 0.7467030170884223,
      "eval_sickr_spearman": 0.7322541703933272,
      "eval_stsb_spearman": 0.7611518637835176,
      "step": 1250
    },
    {
      "epoch": 17.41,
      "eval_avg_sts": 0.7515738063184808,
      "eval_sickr_spearman": 0.7319930252948081,
      "eval_stsb_spearman": 0.7711545873421535,
      "step": 1375
    },
    {
      "epoch": 18.99,
      "learning_rate": 0.011012658227848101,
      "loss": 0.0008,
      "step": 1500
    },
    {
      "epoch": 18.99,
      "eval_avg_sts": 0.7547593596864199,
      "eval_sickr_spearman": 0.7316824081618079,
      "eval_stsb_spearman": 0.777836311211032,
      "step": 1500
    },
    {
      "epoch": 20.57,
      "eval_avg_sts": 0.7546503164567119,
      "eval_sickr_spearman": 0.7284250829555794,
      "eval_stsb_spearman": 0.7808755499578444,
      "step": 1625
    },
    {
      "epoch": 22.15,
      "eval_avg_sts": 0.7412961666365114,
      "eval_sickr_spearman": 0.7141825165083387,
      "eval_stsb_spearman": 0.7684098167646841,
      "step": 1750
    },
    {
      "epoch": 23.73,
      "eval_avg_sts": 0.7444813377835273,
      "eval_sickr_spearman": 0.7180804325144473,
      "eval_stsb_spearman": 0.7708822430526072,
      "step": 1875
    },
    {
      "epoch": 25.32,
      "learning_rate": 0.0046835443037974685,
      "loss": 0.0005,
      "step": 2000
    },
    {
      "epoch": 25.32,
      "eval_avg_sts": 0.7457798773906168,
      "eval_sickr_spearman": 0.7201111394521492,
      "eval_stsb_spearman": 0.7714486153290844,
      "step": 2000
    },
    {
      "epoch": 26.9,
      "eval_avg_sts": 0.7454552356177395,
      "eval_sickr_spearman": 0.7205938039905009,
      "eval_stsb_spearman": 0.7703166672449782,
      "step": 2125
    },
    {
      "epoch": 28.48,
      "eval_avg_sts": 0.7438784407146768,
      "eval_sickr_spearman": 0.7192442261022928,
      "eval_stsb_spearman": 0.7685126553270608,
      "step": 2250
    },
    {
      "epoch": 30.0,
      "step": 2370,
      "train_runtime": 1196.069,
      "train_samples_per_second": 1.981
    }
  ],
  "max_steps": 2370,
  "num_train_epochs": 30,
  "total_flos": 3153372403064832,
  "trial_name": null,
  "trial_params": null
}