Hugging Face's logo

JeremiahZ
/
roberta-base-cola

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
4
roberta-base-cola
File size: 4,430 Bytes 
2c21b0c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.6232164195970928,
  "best_model_checkpoint": "./fine-tune/roberta-base/cola/checkpoint-5350",
  "epoch": 10.0,
  "global_step": 5350,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.93,
      "learning_rate": 1.9288128852654602e-05,
      "loss": 0.5497,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_loss": 0.5504242181777954,
      "eval_matthews_correlation": 0.4613462408273676,
      "eval_runtime": 1.7936,
      "eval_samples_per_second": 581.514,
      "eval_steps_per_second": 73.038,
      "step": 535
    },
    {
      "epoch": 1.87,
      "learning_rate": 1.729966196062836e-05,
      "loss": 0.3786,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_loss": 0.48504745960235596,
      "eval_matthews_correlation": 0.5470285194988502,
      "eval_runtime": 1.8903,
      "eval_samples_per_second": 551.77,
      "eval_steps_per_second": 69.302,
      "step": 1070
    },
    {
      "epoch": 2.8,
      "learning_rate": 1.531119506860211e-05,
      "loss": 0.2733,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_loss": 0.5036450624465942,
      "eval_matthews_correlation": 0.5791579814417055,
      "eval_runtime": 2.2071,
      "eval_samples_per_second": 472.565,
      "eval_steps_per_second": 59.354,
      "step": 1605
    },
    {
      "epoch": 3.74,
      "learning_rate": 1.3322728176575861e-05,
      "loss": 0.2204,
      "step": 2000
    },
    {
      "epoch": 4.0,
      "eval_loss": 0.5532266497612,
      "eval_matthews_correlation": 0.6138670730002377,
      "eval_runtime": 1.8422,
      "eval_samples_per_second": 566.18,
      "eval_steps_per_second": 71.112,
      "step": 2140
    },
    {
      "epoch": 4.67,
      "learning_rate": 1.1334261284549613e-05,
      "loss": 0.164,
      "step": 2500
    },
    {
      "epoch": 5.0,
      "eval_loss": 0.9516334533691406,
      "eval_matthews_correlation": 0.5934048733741295,
      "eval_runtime": 1.8822,
      "eval_samples_per_second": 554.136,
      "eval_steps_per_second": 69.599,
      "step": 2675
    },
    {
      "epoch": 5.61,
      "learning_rate": 9.345794392523365e-06,
      "loss": 0.1351,
      "step": 3000
    },
    {
      "epoch": 6.0,
      "eval_loss": 0.9050658345222473,
      "eval_matthews_correlation": 0.5754342635449895,
      "eval_runtime": 1.846,
      "eval_samples_per_second": 565.019,
      "eval_steps_per_second": 70.966,
      "step": 3210
    },
    {
      "epoch": 6.54,
      "learning_rate": 7.357327500497118e-06,
      "loss": 0.1065,
      "step": 3500
    },
    {
      "epoch": 7.0,
      "eval_loss": 0.9006233215332031,
      "eval_matthews_correlation": 0.6161067903576496,
      "eval_runtime": 1.877,
      "eval_samples_per_second": 555.681,
      "eval_steps_per_second": 69.793,
      "step": 3745
    },
    {
      "epoch": 7.48,
      "learning_rate": 5.36886060847087e-06,
      "loss": 0.0874,
      "step": 4000
    },
    {
      "epoch": 8.0,
      "eval_loss": 0.9457036852836609,
      "eval_matthews_correlation": 0.6157170770507245,
      "eval_runtime": 1.8772,
      "eval_samples_per_second": 555.609,
      "eval_steps_per_second": 69.784,
      "step": 4280
    },
    {
      "epoch": 8.41,
      "learning_rate": 3.3803937164446215e-06,
      "loss": 0.0579,
      "step": 4500
    },
    {
      "epoch": 9.0,
      "eval_loss": 1.0371503829956055,
      "eval_matthews_correlation": 0.6006530974238766,
      "eval_runtime": 1.8847,
      "eval_samples_per_second": 553.403,
      "eval_steps_per_second": 69.507,
      "step": 4815
    },
    {
      "epoch": 9.35,
      "learning_rate": 1.3919268244183738e-06,
      "loss": 0.0451,
      "step": 5000
    },
    {
      "epoch": 10.0,
      "eval_loss": 1.0570732355117798,
      "eval_matthews_correlation": 0.6232164195970928,
      "eval_runtime": 1.8418,
      "eval_samples_per_second": 566.299,
      "eval_steps_per_second": 71.127,
      "step": 5350
    },
    {
      "epoch": 10.0,
      "step": 5350,
      "total_flos": 5624656585958400.0,
      "train_loss": 0.191466952528909,
      "train_runtime": 617.5978,
      "train_samples_per_second": 138.456,
      "train_steps_per_second": 8.663
    }
  ],
  "max_steps": 5350,
  "num_train_epochs": 10,
  "total_flos": 5624656585958400.0,
  "trial_name": null,
  "trial_params": null
}