salbatarni
commited on
Commit
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27819cd
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Parent(s):
0b65072
End of training
Browse files
README.md
CHANGED
@@ -4,20 +4,20 @@ base_model: google-bert/bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Qwk: 0.
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- Mse: 0.
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## Model description
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@@ -46,178 +46,178 @@ The following hyperparameters were used during training:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk
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| No log | 0.0294 | 2 |
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| No log | 0.0588 | 4 | 1.
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| No log | 0.0882 | 6 | 1.
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| No log | 0.1176 | 8 | 1.
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| No log | 0.1471 | 10 |
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| No log | 0.1765 | 12 | 0.
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| No log | 0.2059 | 14 | 0.
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| No log | 0.2353 | 16 | 0.
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| No log | 0.2647 | 18 | 0.
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| No log | 0.2941 | 20 | 0.
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| No log | 0.3235 | 22 | 0.
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62 |
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| No log | 0.3529 | 24 | 0.
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63 |
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| No log | 0.3824 | 26 | 0.
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| No log | 0.4118 | 28 | 0.
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| No log | 0.4412 | 30 | 0.
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| No log | 0.4706 | 32 | 0.
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| No log | 0.5 | 34 | 0.
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68 |
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| No log | 0.5294 | 36 | 0.
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| No log | 0.5588 | 38 | 0.
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| No log | 0.5882 | 40 | 0.
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| No log | 0.6176 | 42 | 0.
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-
| No log | 0.6471 | 44 | 0.
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| No log | 0.6765 | 46 | 0.
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| No log | 0.7059 | 48 | 0.
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| No log | 0.7353 | 50 | 0.
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76 |
-
| No log | 0.7647 | 52 | 0.
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77 |
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| No log | 0.7941 | 54 | 0.
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78 |
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| No log | 0.8235 | 56 | 0.
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| No log | 0.8529 | 58 | 0.
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80 |
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| No log | 0.8824 | 60 | 0.
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81 |
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| No log | 0.9118 | 62 | 0.
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| No log | 0.9412 | 64 | 0.
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| No log | 0.9706 | 66 | 0.
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| No log | 1.0 | 68 | 0.
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| No log | 1.0294 | 70 | 0.
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| No log | 1.0588 | 72 | 0.
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| No log | 1.0882 | 74 | 0.
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| No log | 1.1176 | 76 | 0.
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| No log | 1.1471 | 78 | 0.
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| No log | 1.1765 | 80 | 0.
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| No log | 1.2059 | 82 | 0.
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| No log | 1.2353 | 84 | 0.
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| No log | 1.2647 | 86 | 0.
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| No log | 1.2941 | 88 | 0.
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| No log | 1.3235 | 90 | 0.
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| No log | 1.3529 | 92 | 0.
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| No log | 1.3824 | 94 | 0.
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| No log | 1.4118 | 96 | 0.
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| No log | 1.4412 | 98 | 0.
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| No log | 1.4706 | 100 | 0.
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| No log | 1.5 | 102 | 0.
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| No log | 1.5294 | 104 | 0.
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| No log | 1.5588 | 106 | 0.
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| No log | 1.5882 | 108 | 0.
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| No log | 1.6176 | 110 | 0.
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| No log | 1.6471 | 112 | 0.
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| No log | 1.6765 | 114 | 0.
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| No log | 1.7059 | 116 | 0.
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| No log | 1.7353 | 118 | 0.
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| No log | 1.7647 | 120 | 0.
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| No log | 1.7941 | 122 | 0.
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| No log | 1.8235 | 124 | 0.
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| No log | 1.8529 | 126 | 0.
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| No log | 1.8824 | 128 | 0.
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| No log | 1.9118 | 130 | 0.
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| No log | 1.9412 | 132 | 0.
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| No log | 1.9706 | 134 | 0.
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| No log | 2.0 | 136 | 0.
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| No log | 2.0294 | 138 | 0.
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| No log | 2.0588 | 140 | 0.
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| No log | 2.0882 | 142 | 0.
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| No log | 2.1176 | 144 | 0.
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| No log | 2.1471 | 146 | 0.
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| No log | 2.1765 | 148 | 0.
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| No log | 2.2059 | 150 | 0.
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| No log | 2.2353 | 152 | 0.
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| No log | 2.2647 | 154 | 0.
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128 |
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| No log | 2.2941 | 156 | 0.
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| No log | 2.3235 | 158 | 0.
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| No log | 2.3529 | 160 | 0.
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| No log | 2.3824 | 162 | 0.
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| No log | 2.4118 | 164 | 0.
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| No log | 2.4412 | 166 | 0.
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| No log | 2.4706 | 168 | 0.
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| No log | 2.5 | 170 | 0.
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| No log | 2.5294 | 172 | 0.
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| No log | 2.5588 | 174 | 0.
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| No log | 2.5882 | 176 | 0.
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| No log | 2.6176 | 178 | 0.
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| No log | 2.6471 | 180 | 0.
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| No log | 2.6765 | 182 | 0.
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| No log | 2.7059 | 184 | 0.
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| No log | 2.7353 | 186 | 0.
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| No log | 2.7647 | 188 | 0.
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| No log | 2.7941 | 190 | 0.
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| No log | 2.8235 | 192 | 0.
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| No log | 2.8529 | 194 | 0.
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| No log | 2.8824 | 196 | 0.
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| No log | 2.9118 | 198 | 0.
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| No log | 2.9412 | 200 | 0.
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| No log | 2.9706 | 202 | 0.
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| No log | 3.0 | 204 | 0.
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| No log | 3.0294 | 206 | 0.
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| No log | 3.0588 | 208 | 0.
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| No log | 3.0882 | 210 | 0.
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| No log | 3.1176 | 212 | 0.
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| No log | 3.1471 | 214 | 0.
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| No log | 3.1765 | 216 | 0.
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| No log | 3.2059 | 218 | 0.
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| No log | 3.2353 | 220 | 0.
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| No log | 3.2647 | 222 | 0.
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| No log | 3.2941 | 224 | 0.
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| No log | 3.3235 | 226 | 0.
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| No log | 3.3529 | 228 | 0.
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| No log | 3.3824 | 230 | 0.
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| No log | 3.4118 | 232 | 0.
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| No log | 3.4412 | 234 | 0.
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| No log | 3.4706 | 236 | 0.
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| No log | 3.5 | 238 | 0.
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| No log | 3.5294 | 240 | 0.
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| No log | 3.5588 | 242 | 0.
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| No log | 3.5882 | 244 | 0.
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| No log | 3.6176 | 246 | 0.
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| No log | 3.6471 | 248 | 0.
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| No log | 3.6765 | 250 | 0.
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| No log | 3.7059 | 252 | 0.
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| No log | 3.7353 | 254 | 0.
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| No log | 3.7647 | 256 | 0.
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| No log | 3.7941 | 258 | 0.
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| No log | 3.8235 | 260 | 0.
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| No log | 3.8529 | 262 | 0.
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| No log | 3.8824 | 264 | 0.
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| No log | 3.9118 | 266 | 0.
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| No log | 3.9412 | 268 | 0.
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| No log | 3.9706 | 270 | 0.
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| No log | 4.0 | 272 | 0.
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| No log | 4.0294 | 274 | 0.
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| No log | 4.0588 | 276 | 0.
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| No log | 4.0882 | 278 | 0.
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| No log | 4.1176 | 280 | 0.
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| No log | 4.1471 | 282 | 0.
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| No log | 4.1765 | 284 | 0.
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| No log | 4.2059 | 286 | 0.
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| No log | 4.2353 | 288 | 0.
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| No log | 4.2647 | 290 | 0.
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| No log | 4.2941 | 292 | 0.
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| No log | 4.3235 | 294 | 0.
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| No log | 4.3529 | 296 | 0.
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| No log | 4.3824 | 298 | 0.
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| No log | 4.4118 | 300 | 0.
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| No log | 4.4412 | 302 | 0.
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| No log | 4.4706 | 304 | 0.
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| No log | 4.5 | 306 | 0.
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| No log | 4.5294 | 308 | 0.
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| No log | 4.5588 | 310 | 0.
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| No log | 4.5882 | 312 | 0.
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| No log | 4.6176 | 314 | 0.
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| No log | 4.6471 | 316 | 0.
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| No log | 4.6765 | 318 | 0.
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| No log | 4.7059 | 320 | 0.
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| No log | 4.7353 | 322 | 0.
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| No log | 4.7647 | 324 | 0.
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| No log | 4.7941 | 326 | 0.
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| No log | 4.8235 | 328 | 0.
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| No log | 4.8529 | 330 | 0.
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| No log | 4.8824 | 332 | 0.
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| No log | 4.9118 | 334 | 0.
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| No log | 4.9412 | 336 | 0.
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| No log | 4.9706 | 338 | 0.
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| No log | 5.0 | 340 | 0.
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: bert_baseline_prompt_adherence_task6_fold0
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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+
# bert_baseline_prompt_adherence_task6_fold0
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3408
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- Qwk: 0.7659
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- Mse: 0.3408
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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| No log | 0.0294 | 2 | 1.7230 | 0.0 | 1.7230 |
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| No log | 0.0588 | 4 | 1.5160 | -0.0298 | 1.5160 |
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| No log | 0.0882 | 6 | 1.3669 | 0.0061 | 1.3669 |
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| No log | 0.1176 | 8 | 1.1404 | 0.0 | 1.1404 |
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| No log | 0.1471 | 10 | 1.0323 | 0.0 | 1.0323 |
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| No log | 0.1765 | 12 | 0.9762 | 0.0 | 0.9762 |
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| No log | 0.2059 | 14 | 0.9758 | 0.1733 | 0.9758 |
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| No log | 0.2353 | 16 | 0.9387 | 0.0166 | 0.9387 |
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| No log | 0.2647 | 18 | 0.9009 | 0.2594 | 0.9009 |
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| No log | 0.2941 | 20 | 0.8463 | 0.3818 | 0.8463 |
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| No log | 0.3235 | 22 | 0.8233 | 0.4516 | 0.8233 |
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| No log | 0.3529 | 24 | 0.7858 | 0.4806 | 0.7858 |
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| No log | 0.3824 | 26 | 0.7188 | 0.3987 | 0.7188 |
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| No log | 0.4118 | 28 | 0.6879 | 0.3765 | 0.6879 |
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| No log | 0.4412 | 30 | 0.6578 | 0.3972 | 0.6578 |
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| No log | 0.4706 | 32 | 0.6462 | 0.4477 | 0.6462 |
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| No log | 0.5 | 34 | 0.5938 | 0.4814 | 0.5938 |
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| No log | 0.5294 | 36 | 0.5318 | 0.5157 | 0.5318 |
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| No log | 0.5588 | 38 | 0.5086 | 0.5385 | 0.5086 |
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| No log | 0.5882 | 40 | 0.4870 | 0.6095 | 0.4870 |
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| No log | 0.6176 | 42 | 0.4613 | 0.6348 | 0.4613 |
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| No log | 0.6471 | 44 | 0.4423 | 0.6528 | 0.4423 |
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| No log | 0.6765 | 46 | 0.4547 | 0.6722 | 0.4547 |
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| No log | 0.7059 | 48 | 0.4230 | 0.6590 | 0.4230 |
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| No log | 0.7353 | 50 | 0.4205 | 0.6612 | 0.4205 |
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| No log | 0.7647 | 52 | 0.5052 | 0.7302 | 0.5052 |
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| No log | 0.7941 | 54 | 0.5938 | 0.7403 | 0.5938 |
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| No log | 0.8235 | 56 | 0.4840 | 0.7157 | 0.4840 |
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| No log | 0.8529 | 58 | 0.4066 | 0.6299 | 0.4066 |
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| No log | 0.8824 | 60 | 0.4288 | 0.5651 | 0.4288 |
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| No log | 0.9118 | 62 | 0.3949 | 0.6432 | 0.3949 |
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| No log | 0.9412 | 64 | 0.4369 | 0.7203 | 0.4369 |
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| No log | 0.9706 | 66 | 0.4221 | 0.7175 | 0.4221 |
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| No log | 1.0 | 68 | 0.4578 | 0.7279 | 0.4578 |
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| No log | 1.0294 | 70 | 0.4266 | 0.7291 | 0.4266 |
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| No log | 1.0588 | 72 | 0.3656 | 0.6786 | 0.3656 |
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| No log | 1.0882 | 74 | 0.3645 | 0.6324 | 0.3645 |
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| No log | 1.1176 | 76 | 0.3569 | 0.6755 | 0.3569 |
|
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| No log | 1.1471 | 78 | 0.4082 | 0.7169 | 0.4082 |
|
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| No log | 1.1765 | 80 | 0.4446 | 0.7191 | 0.4446 |
|
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| No log | 1.2059 | 82 | 0.3720 | 0.7161 | 0.3720 |
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| No log | 1.2353 | 84 | 0.3680 | 0.6119 | 0.3680 |
|
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| No log | 1.2647 | 86 | 0.3784 | 0.6041 | 0.3784 |
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| No log | 1.2941 | 88 | 0.3433 | 0.6820 | 0.3433 |
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| No log | 1.3235 | 90 | 0.3680 | 0.7177 | 0.3680 |
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| No log | 1.3529 | 92 | 0.3769 | 0.7232 | 0.3769 |
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| No log | 1.3824 | 94 | 0.3527 | 0.7082 | 0.3527 |
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| No log | 1.4118 | 96 | 0.3442 | 0.6673 | 0.3442 |
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| No log | 1.4412 | 98 | 0.3422 | 0.6618 | 0.3422 |
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| No log | 1.4706 | 100 | 0.3388 | 0.6909 | 0.3388 |
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| No log | 1.5 | 102 | 0.3835 | 0.7163 | 0.3835 |
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| No log | 1.5294 | 104 | 0.3977 | 0.7205 | 0.3977 |
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| No log | 1.5588 | 106 | 0.3601 | 0.7102 | 0.3601 |
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| No log | 1.5882 | 108 | 0.3383 | 0.6769 | 0.3383 |
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| No log | 1.6176 | 110 | 0.3430 | 0.6506 | 0.3430 |
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| No log | 1.6471 | 112 | 0.3397 | 0.7243 | 0.3397 |
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| No log | 1.6765 | 114 | 0.3835 | 0.7538 | 0.3835 |
|
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| No log | 1.7059 | 116 | 0.3606 | 0.7389 | 0.3606 |
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| No log | 1.7353 | 118 | 0.3273 | 0.7156 | 0.3273 |
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| No log | 1.7647 | 120 | 0.3244 | 0.7004 | 0.3244 |
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| No log | 1.7941 | 122 | 0.3539 | 0.7388 | 0.3539 |
|
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| No log | 1.8235 | 124 | 0.3867 | 0.7379 | 0.3867 |
|
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| No log | 1.8529 | 126 | 0.4474 | 0.7465 | 0.4474 |
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| No log | 1.8824 | 128 | 0.3972 | 0.7249 | 0.3972 |
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| No log | 1.9118 | 130 | 0.3303 | 0.6991 | 0.3303 |
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| No log | 1.9412 | 132 | 0.3315 | 0.6577 | 0.3315 |
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| No log | 1.9706 | 134 | 0.3429 | 0.6354 | 0.3429 |
|
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| No log | 2.0 | 136 | 0.3201 | 0.6801 | 0.3201 |
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| No log | 2.0294 | 138 | 0.3170 | 0.6849 | 0.3170 |
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| No log | 2.0588 | 140 | 0.3195 | 0.7111 | 0.3195 |
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| No log | 2.0882 | 142 | 0.3411 | 0.7223 | 0.3411 |
|
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| No log | 2.1176 | 144 | 0.3576 | 0.7397 | 0.3576 |
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| No log | 2.1471 | 146 | 0.3323 | 0.7351 | 0.3323 |
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| No log | 2.1765 | 148 | 0.3230 | 0.7066 | 0.3230 |
|
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| No log | 2.2059 | 150 | 0.3279 | 0.7208 | 0.3279 |
|
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| No log | 2.2353 | 152 | 0.3530 | 0.7482 | 0.3530 |
|
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| No log | 2.2647 | 154 | 0.3378 | 0.7338 | 0.3378 |
|
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| No log | 2.2941 | 156 | 0.3316 | 0.7195 | 0.3316 |
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129 |
+
| No log | 2.3235 | 158 | 0.3484 | 0.7404 | 0.3484 |
|
130 |
+
| No log | 2.3529 | 160 | 0.3644 | 0.7467 | 0.3644 |
|
131 |
+
| No log | 2.3824 | 162 | 0.4398 | 0.7866 | 0.4398 |
|
132 |
+
| No log | 2.4118 | 164 | 0.4367 | 0.7900 | 0.4367 |
|
133 |
+
| No log | 2.4412 | 166 | 0.3632 | 0.7505 | 0.3632 |
|
134 |
+
| No log | 2.4706 | 168 | 0.3385 | 0.7176 | 0.3385 |
|
135 |
+
| No log | 2.5 | 170 | 0.3315 | 0.6822 | 0.3315 |
|
136 |
+
| No log | 2.5294 | 172 | 0.3273 | 0.7185 | 0.3273 |
|
137 |
+
| No log | 2.5588 | 174 | 0.3263 | 0.7198 | 0.3263 |
|
138 |
+
| No log | 2.5882 | 176 | 0.3281 | 0.7176 | 0.3281 |
|
139 |
+
| No log | 2.6176 | 178 | 0.3367 | 0.7365 | 0.3367 |
|
140 |
+
| No log | 2.6471 | 180 | 0.3782 | 0.7603 | 0.3782 |
|
141 |
+
| No log | 2.6765 | 182 | 0.4553 | 0.8084 | 0.4553 |
|
142 |
+
| No log | 2.7059 | 184 | 0.5177 | 0.8164 | 0.5177 |
|
143 |
+
| No log | 2.7353 | 186 | 0.5430 | 0.8180 | 0.5430 |
|
144 |
+
| No log | 2.7647 | 188 | 0.4529 | 0.8066 | 0.4529 |
|
145 |
+
| No log | 2.7941 | 190 | 0.3539 | 0.7570 | 0.3539 |
|
146 |
+
| No log | 2.8235 | 192 | 0.3317 | 0.7354 | 0.3317 |
|
147 |
+
| No log | 2.8529 | 194 | 0.3250 | 0.7282 | 0.3250 |
|
148 |
+
| No log | 2.8824 | 196 | 0.3240 | 0.7233 | 0.3240 |
|
149 |
+
| No log | 2.9118 | 198 | 0.3254 | 0.7398 | 0.3254 |
|
150 |
+
| No log | 2.9412 | 200 | 0.3509 | 0.7595 | 0.3509 |
|
151 |
+
| No log | 2.9706 | 202 | 0.4183 | 0.7752 | 0.4183 |
|
152 |
+
| No log | 3.0 | 204 | 0.4581 | 0.7846 | 0.4581 |
|
153 |
+
| No log | 3.0294 | 206 | 0.4129 | 0.7784 | 0.4129 |
|
154 |
+
| No log | 3.0588 | 208 | 0.3410 | 0.7547 | 0.3410 |
|
155 |
+
| No log | 3.0882 | 210 | 0.3151 | 0.7327 | 0.3151 |
|
156 |
+
| No log | 3.1176 | 212 | 0.3104 | 0.6909 | 0.3104 |
|
157 |
+
| No log | 3.1471 | 214 | 0.3115 | 0.6779 | 0.3115 |
|
158 |
+
| No log | 3.1765 | 216 | 0.3051 | 0.7104 | 0.3051 |
|
159 |
+
| No log | 3.2059 | 218 | 0.3233 | 0.7460 | 0.3233 |
|
160 |
+
| No log | 3.2353 | 220 | 0.3524 | 0.7723 | 0.3524 |
|
161 |
+
| No log | 3.2647 | 222 | 0.3622 | 0.7805 | 0.3622 |
|
162 |
+
| No log | 3.2941 | 224 | 0.3447 | 0.7745 | 0.3447 |
|
163 |
+
| No log | 3.3235 | 226 | 0.3255 | 0.7496 | 0.3255 |
|
164 |
+
| No log | 3.3529 | 228 | 0.3192 | 0.7577 | 0.3192 |
|
165 |
+
| No log | 3.3824 | 230 | 0.3226 | 0.7596 | 0.3226 |
|
166 |
+
| No log | 3.4118 | 232 | 0.3374 | 0.7780 | 0.3374 |
|
167 |
+
| No log | 3.4412 | 234 | 0.3338 | 0.7709 | 0.3338 |
|
168 |
+
| No log | 3.4706 | 236 | 0.3200 | 0.7475 | 0.3200 |
|
169 |
+
| No log | 3.5 | 238 | 0.3149 | 0.7410 | 0.3149 |
|
170 |
+
| No log | 3.5294 | 240 | 0.3218 | 0.7519 | 0.3218 |
|
171 |
+
| No log | 3.5588 | 242 | 0.3419 | 0.7623 | 0.3419 |
|
172 |
+
| No log | 3.5882 | 244 | 0.3489 | 0.7607 | 0.3489 |
|
173 |
+
| No log | 3.6176 | 246 | 0.3240 | 0.7445 | 0.3240 |
|
174 |
+
| No log | 3.6471 | 248 | 0.3140 | 0.7135 | 0.3140 |
|
175 |
+
| No log | 3.6765 | 250 | 0.3158 | 0.7066 | 0.3158 |
|
176 |
+
| No log | 3.7059 | 252 | 0.3164 | 0.7244 | 0.3164 |
|
177 |
+
| No log | 3.7353 | 254 | 0.3378 | 0.7483 | 0.3378 |
|
178 |
+
| No log | 3.7647 | 256 | 0.3923 | 0.7762 | 0.3923 |
|
179 |
+
| No log | 3.7941 | 258 | 0.4374 | 0.7989 | 0.4374 |
|
180 |
+
| No log | 3.8235 | 260 | 0.4200 | 0.7913 | 0.4200 |
|
181 |
+
| No log | 3.8529 | 262 | 0.3738 | 0.7725 | 0.3738 |
|
182 |
+
| No log | 3.8824 | 264 | 0.3377 | 0.7451 | 0.3377 |
|
183 |
+
| No log | 3.9118 | 266 | 0.3297 | 0.7298 | 0.3297 |
|
184 |
+
| No log | 3.9412 | 268 | 0.3285 | 0.7305 | 0.3285 |
|
185 |
+
| No log | 3.9706 | 270 | 0.3401 | 0.7572 | 0.3401 |
|
186 |
+
| No log | 4.0 | 272 | 0.3458 | 0.7596 | 0.3458 |
|
187 |
+
| No log | 4.0294 | 274 | 0.3553 | 0.7676 | 0.3553 |
|
188 |
+
| No log | 4.0588 | 276 | 0.3686 | 0.7745 | 0.3686 |
|
189 |
+
| No log | 4.0882 | 278 | 0.3686 | 0.7771 | 0.3686 |
|
190 |
+
| No log | 4.1176 | 280 | 0.3506 | 0.7653 | 0.3506 |
|
191 |
+
| No log | 4.1471 | 282 | 0.3270 | 0.7495 | 0.3270 |
|
192 |
+
| No log | 4.1765 | 284 | 0.3184 | 0.7449 | 0.3184 |
|
193 |
+
| No log | 4.2059 | 286 | 0.3159 | 0.7353 | 0.3159 |
|
194 |
+
| No log | 4.2353 | 288 | 0.3167 | 0.7420 | 0.3167 |
|
195 |
+
| No log | 4.2647 | 290 | 0.3233 | 0.7509 | 0.3233 |
|
196 |
+
| No log | 4.2941 | 292 | 0.3287 | 0.7537 | 0.3287 |
|
197 |
+
| No log | 4.3235 | 294 | 0.3270 | 0.7514 | 0.3270 |
|
198 |
+
| No log | 4.3529 | 296 | 0.3336 | 0.7614 | 0.3336 |
|
199 |
+
| No log | 4.3824 | 298 | 0.3373 | 0.7678 | 0.3373 |
|
200 |
+
| No log | 4.4118 | 300 | 0.3408 | 0.7696 | 0.3408 |
|
201 |
+
| No log | 4.4412 | 302 | 0.3437 | 0.7700 | 0.3437 |
|
202 |
+
| No log | 4.4706 | 304 | 0.3419 | 0.7690 | 0.3419 |
|
203 |
+
| No log | 4.5 | 306 | 0.3331 | 0.7613 | 0.3331 |
|
204 |
+
| No log | 4.5294 | 308 | 0.3263 | 0.7521 | 0.3263 |
|
205 |
+
| No log | 4.5588 | 310 | 0.3255 | 0.7521 | 0.3255 |
|
206 |
+
| No log | 4.5882 | 312 | 0.3313 | 0.7609 | 0.3313 |
|
207 |
+
| No log | 4.6176 | 314 | 0.3381 | 0.7649 | 0.3381 |
|
208 |
+
| No log | 4.6471 | 316 | 0.3490 | 0.7712 | 0.3490 |
|
209 |
+
| No log | 4.6765 | 318 | 0.3575 | 0.7693 | 0.3575 |
|
210 |
+
| No log | 4.7059 | 320 | 0.3687 | 0.7772 | 0.3687 |
|
211 |
+
| No log | 4.7353 | 322 | 0.3700 | 0.7772 | 0.3700 |
|
212 |
+
| No log | 4.7647 | 324 | 0.3710 | 0.7772 | 0.3710 |
|
213 |
+
| No log | 4.7941 | 326 | 0.3694 | 0.7793 | 0.3694 |
|
214 |
+
| No log | 4.8235 | 328 | 0.3657 | 0.7793 | 0.3657 |
|
215 |
+
| No log | 4.8529 | 330 | 0.3613 | 0.7781 | 0.3613 |
|
216 |
+
| No log | 4.8824 | 332 | 0.3558 | 0.7740 | 0.3558 |
|
217 |
+
| No log | 4.9118 | 334 | 0.3499 | 0.7740 | 0.3499 |
|
218 |
+
| No log | 4.9412 | 336 | 0.3447 | 0.7641 | 0.3447 |
|
219 |
+
| No log | 4.9706 | 338 | 0.3419 | 0.7610 | 0.3419 |
|
220 |
+
| No log | 5.0 | 340 | 0.3408 | 0.7659 | 0.3408 |
|
221 |
|
222 |
|
223 |
### Framework versions
|