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bert-base-cased-avg-cola

Text Classification
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PyTorch
bert
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1
+ "best_metric": 0.4796141982078552,<br>
2
+ "best_model_checkpoint": "/content/output_dir/checkpoint-268",<br>
3
+ "epoch": 10.0,<br>
4
+ "global_step": 2680,<br>
5
+ "is_hyper_param_search": false,<br>
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+ "is_local_process_zero": true,<br>
7
+ "is_world_process_zero": true,<br>
8
+ "max_steps": 2680,<br>
9
+ "num_train_epochs": 10,<br>
10
+ "total_flos": 7113018526540800.0,<br>
11
+ "trial_name": null,<br>
12
+ "trial_params": null<br>
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+ <br>
14
+ <table class="table table-bordered table-hover table-condensed">
15
+ <thead><tr><th title="Field #1">epoch</th>
16
+ <th title="Field #2">eval_loss</th>
17
+ <th title="Field #3">eval_matthews_correlation</th>
18
+ <th title="Field #4">eval_runtime</th>
19
+ <th title="Field #5">eval_samples_per_second</th>
20
+ <th title="Field #6">eval_steps_per_second</th>
21
+ <th title="Field #7">step</th>
22
+ <th title="Field #8">learning_rate</th>
23
+ <th title="Field #9">loss</th>
24
+ </tr></thead>
25
+ <tbody><tr>
26
+ <td align="right">1</td>
27
+ <td align="right">0.4796141982078552</td>
28
+ <td align="right">0.5351033849356494</td>
29
+ <td align="right">8.8067</td>
30
+ <td align="right">118.433</td>
31
+ <td align="right">14.875</td>
32
+ <td align="right">268</td>
33
+ <td align="right">0.000018067415730337083</td>
34
+ <td align="right">0.4913</td>
35
+ </tr>
36
+ <tr>
37
+ <td align="right">2</td>
38
+ <td align="right">0.5334435701370239</td>
39
+ <td align="right">0.5178799252679331</td>
40
+ <td align="right">8.9439</td>
41
+ <td align="right">116.616</td>
42
+ <td align="right">14.647</td>
43
+ <td align="right">536</td>
44
+ <td align="right">0.00001605992509363296</td>
45
+ <td align="right">0.2872</td>
46
+ </tr>
47
+ <tr>
48
+ <td align="right">3</td>
49
+ <td align="right">0.5544090270996094</td>
50
+ <td align="right">0.5649788851042796</td>
51
+ <td align="right">8.9467</td>
52
+ <td align="right">116.58</td>
53
+ <td align="right">14.642</td>
54
+ <td align="right">804</td>
55
+ <td align="right">0.000014052434456928841</td>
56
+ <td align="right">0.1777</td>
57
+ </tr>
58
+ <tr>
59
+ <td align="right">4</td>
60
+ <td align="right">0.5754779577255249</td>
61
+ <td align="right">0.6105374636148787</td>
62
+ <td align="right">8.8982</td>
63
+ <td align="right">117.215</td>
64
+ <td align="right">14.722</td>
65
+ <td align="right">1072</td>
66
+ <td align="right">0.000012044943820224718</td>
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+ <td align="right">0.1263</td>
68
+ </tr>
69
+ <tr>
70
+ <td align="right">5</td>
71
+ <td align="right">0.7263916730880737</td>
72
+ <td align="right">0.5807606001872874</td>
73
+ <td align="right">8.9705</td>
74
+ <td align="right">116.27</td>
75
+ <td align="right">14.603</td>
76
+ <td align="right">1340</td>
77
+ <td align="right">0.000010037453183520601</td>
78
+ <td align="right">0.0905</td>
79
+ </tr>
80
+ <tr>
81
+ <td align="right">6</td>
82
+ <td align="right">0.8121512532234192</td>
83
+ <td align="right">0.5651092792103851</td>
84
+ <td align="right">8.9924</td>
85
+ <td align="right">115.987</td>
86
+ <td align="right">14.568</td>
87
+ <td align="right">1608</td>
88
+ <td align="right">0.00000802996254681648</td>
89
+ <td align="right">0.0692</td>
90
+ </tr>
91
+ <tr>
92
+ <td align="right">7</td>
93
+ <td align="right">0.941014289855957</td>
94
+ <td align="right">0.5632084517291658</td>
95
+ <td align="right">8.9583</td>
96
+ <td align="right">116.428</td>
97
+ <td align="right">14.623</td>
98
+ <td align="right">1876</td>
99
+ <td align="right">0.000006022471910112359</td>
100
+ <td align="right">0.0413</td>
101
+ </tr>
102
+ <tr>
103
+ <td align="right">8</td>
104
+ <td align="right">1.0095174312591553</td>
105
+ <td align="right">0.5856531698367675</td>
106
+ <td align="right">9.0029</td>
107
+ <td align="right">115.851</td>
108
+ <td align="right">14.551</td>
109
+ <td align="right">2144</td>
110
+ <td align="right">0.00000401498127340824</td>
111
+ <td align="right">0.0327</td>
112
+ </tr>
113
+ <tr>
114
+ <td align="right">9</td>
115
+ <td align="right">1.0425965785980225</td>
116
+ <td align="right">0.5941395545037332</td>
117
+ <td align="right">8.9217</td>
118
+ <td align="right">116.906</td>
119
+ <td align="right">14.683</td>
120
+ <td align="right">2412</td>
121
+ <td align="right">0.00000200749063670412</td>
122
+ <td align="right">0.0202</td>
123
+ </tr>
124
+ <tr>
125
+ <td align="right">10</td>
126
+ <td align="right">1.0782166719436646</td>
127
+ <td align="right">0.5956649094312695</td>
128
+ <td align="right">8.9472</td>
129
+ <td align="right">116.572</td>
130
+ <td align="right">14.641</td>
131
+ <td align="right">2680</td>
132
+ <td align="right">0</td>
133
+ <td align="right">0.0104</td>
134
+ </tr>
135
+ </tbody></table>