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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2700
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  - Accuracy: 0.7667
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  ## Model description
@@ -38,11 +38,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
@@ -50,168 +50,208 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:--------:|:----:|:---------------:|:--------:|
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- | No log | 0.8 | 3 | 2.0182 | 0.7833 |
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- | No log | 1.8667 | 7 | 2.0331 | 0.7833 |
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- | 0.0002 | 2.9333 | 11 | 2.0481 | 0.7833 |
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- | 0.0002 | 4.0 | 15 | 2.0630 | 0.7833 |
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- | 0.0002 | 4.8 | 18 | 2.0675 | 0.7833 |
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- | 0.0002 | 5.8667 | 22 | 2.0561 | 0.7833 |
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- | 0.0002 | 6.9333 | 26 | 2.0936 | 0.7833 |
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- | 0.0002 | 8.0 | 30 | 2.0967 | 0.7667 |
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- | 0.0002 | 8.8 | 33 | 2.1513 | 0.7667 |
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- | 0.0002 | 9.8667 | 37 | 2.1956 | 0.7667 |
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- | 0.0001 | 10.9333 | 41 | 2.1874 | 0.7667 |
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- | 0.0001 | 12.0 | 45 | 2.2490 | 0.7667 |
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- | 0.0001 | 12.8 | 48 | 2.2537 | 0.7667 |
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- | 0.0001 | 13.8667 | 52 | 2.2707 | 0.7667 |
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- | 0.0001 | 14.9333 | 56 | 2.5784 | 0.75 |
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- | 0.047 | 16.0 | 60 | 2.7501 | 0.7167 |
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- | 0.047 | 16.8 | 63 | 2.4528 | 0.7667 |
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- | 0.047 | 17.8667 | 67 | 2.0651 | 0.7833 |
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- | 0.0875 | 18.9333 | 71 | 2.2746 | 0.75 |
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- | 0.0875 | 20.0 | 75 | 1.7489 | 0.7833 |
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- | 0.0875 | 20.8 | 78 | 1.8848 | 0.7833 |
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- | 0.1189 | 21.8667 | 82 | 2.9972 | 0.65 |
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- | 0.1189 | 22.9333 | 86 | 2.6604 | 0.65 |
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- | 0.0763 | 24.0 | 90 | 2.3610 | 0.7167 |
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- | 0.0763 | 24.8 | 93 | 2.2436 | 0.75 |
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- | 0.0763 | 25.8667 | 97 | 2.7419 | 0.6333 |
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- | 0.1062 | 26.9333 | 101 | 3.0158 | 0.6 |
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- | 0.1062 | 28.0 | 105 | 1.9456 | 0.75 |
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- | 0.1062 | 28.8 | 108 | 2.1435 | 0.7167 |
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- | 0.0518 | 29.8667 | 112 | 2.3872 | 0.7 |
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- | 0.0518 | 30.9333 | 116 | 2.3742 | 0.7167 |
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- | 0.1085 | 32.0 | 120 | 2.0809 | 0.75 |
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- | 0.1085 | 32.8 | 123 | 1.9887 | 0.7333 |
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- | 0.1085 | 33.8667 | 127 | 1.8640 | 0.7667 |
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- | 0.0352 | 34.9333 | 131 | 2.0532 | 0.7333 |
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- | 0.0352 | 36.0 | 135 | 2.0110 | 0.75 |
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- | 0.0352 | 36.8 | 138 | 2.2402 | 0.7333 |
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- | 0.0103 | 37.8667 | 142 | 2.3038 | 0.7 |
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- | 0.0103 | 38.9333 | 146 | 2.0796 | 0.7333 |
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- | 0.0107 | 40.0 | 150 | 2.0730 | 0.7167 |
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- | 0.0107 | 40.8 | 153 | 1.9917 | 0.7167 |
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- | 0.0107 | 41.8667 | 157 | 1.7906 | 0.7167 |
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- | 0.0243 | 42.9333 | 161 | 2.1083 | 0.75 |
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- | 0.0243 | 44.0 | 165 | 2.2982 | 0.7167 |
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- | 0.0243 | 44.8 | 168 | 2.0959 | 0.7667 |
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- | 0.0462 | 45.8667 | 172 | 1.9789 | 0.75 |
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- | 0.0462 | 46.9333 | 176 | 2.2979 | 0.7167 |
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- | 0.0009 | 48.0 | 180 | 2.7472 | 0.6667 |
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- | 0.0009 | 48.8 | 183 | 2.7648 | 0.6667 |
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- | 0.0009 | 49.8667 | 187 | 2.1837 | 0.7333 |
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- | 0.0268 | 50.9333 | 191 | 2.0771 | 0.75 |
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- | 0.0268 | 52.0 | 195 | 2.0531 | 0.7667 |
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- | 0.0268 | 52.8 | 198 | 2.1357 | 0.75 |
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- | 0.0003 | 53.8667 | 202 | 2.2037 | 0.75 |
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- | 0.0003 | 54.9333 | 206 | 2.1412 | 0.75 |
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- | 0.0102 | 56.0 | 210 | 2.4805 | 0.6833 |
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- | 0.0102 | 56.8 | 213 | 2.4912 | 0.7 |
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- | 0.0102 | 57.8667 | 217 | 2.5813 | 0.6833 |
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- | 0.0179 | 58.9333 | 221 | 2.3573 | 0.7167 |
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- | 0.0179 | 60.0 | 225 | 3.0467 | 0.6 |
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- | 0.0179 | 60.8 | 228 | 3.0411 | 0.6167 |
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- | 0.0557 | 61.8667 | 232 | 2.3319 | 0.7 |
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- | 0.0557 | 62.9333 | 236 | 2.2105 | 0.7 |
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- | 0.0026 | 64.0 | 240 | 2.1316 | 0.7167 |
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- | 0.0026 | 64.8 | 243 | 2.1638 | 0.7167 |
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- | 0.0026 | 65.8667 | 247 | 2.1877 | 0.65 |
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- | 0.0185 | 66.9333 | 251 | 2.2882 | 0.65 |
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- | 0.0185 | 68.0 | 255 | 2.4297 | 0.65 |
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- | 0.0185 | 68.8 | 258 | 2.5043 | 0.65 |
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- | 0.0005 | 69.8667 | 262 | 2.5216 | 0.65 |
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- | 0.0005 | 70.9333 | 266 | 2.5181 | 0.6667 |
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- | 0.0003 | 72.0 | 270 | 2.5053 | 0.6833 |
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- | 0.0003 | 72.8 | 273 | 2.2881 | 0.6833 |
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- | 0.0003 | 73.8667 | 277 | 2.2007 | 0.7333 |
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- | 0.0034 | 74.9333 | 281 | 2.2188 | 0.7333 |
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- | 0.0034 | 76.0 | 285 | 2.2258 | 0.7167 |
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- | 0.0034 | 76.8 | 288 | 2.1896 | 0.75 |
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- | 0.0002 | 77.8667 | 292 | 2.1695 | 0.7333 |
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- | 0.0002 | 78.9333 | 296 | 2.3046 | 0.7333 |
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- | 0.0318 | 80.0 | 300 | 2.3177 | 0.7 |
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- | 0.0318 | 80.8 | 303 | 2.3868 | 0.7 |
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- | 0.0318 | 81.8667 | 307 | 2.4272 | 0.7 |
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- | 0.0002 | 82.9333 | 311 | 2.4411 | 0.7 |
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- | 0.0002 | 84.0 | 315 | 2.4121 | 0.7167 |
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- | 0.0002 | 84.8 | 318 | 2.3037 | 0.7333 |
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- | 0.0158 | 85.8667 | 322 | 2.2669 | 0.7333 |
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- | 0.0158 | 86.9333 | 326 | 2.2826 | 0.7333 |
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- | 0.0163 | 88.0 | 330 | 2.2084 | 0.7333 |
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- | 0.0163 | 88.8 | 333 | 2.1181 | 0.75 |
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- | 0.0163 | 89.8667 | 337 | 2.2413 | 0.7333 |
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- | 0.0108 | 90.9333 | 341 | 2.2603 | 0.7167 |
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- | 0.0108 | 92.0 | 345 | 2.3350 | 0.7167 |
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- | 0.0108 | 92.8 | 348 | 2.2006 | 0.7167 |
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- | 0.0006 | 93.8667 | 352 | 2.0376 | 0.7667 |
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- | 0.0006 | 94.9333 | 356 | 2.0144 | 0.7667 |
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- | 0.0004 | 96.0 | 360 | 2.0131 | 0.7833 |
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- | 0.0004 | 96.8 | 363 | 2.0579 | 0.7667 |
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- | 0.0004 | 97.8667 | 367 | 2.0929 | 0.7667 |
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- | 0.0003 | 98.9333 | 371 | 2.0939 | 0.7667 |
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- | 0.0003 | 100.0 | 375 | 2.0410 | 0.7667 |
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- | 0.0003 | 100.8 | 378 | 2.0052 | 0.7833 |
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- | 0.0043 | 101.8667 | 382 | 1.9363 | 0.7667 |
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- | 0.0043 | 102.9333 | 386 | 1.9332 | 0.7667 |
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- | 0.0139 | 104.0 | 390 | 2.0304 | 0.7667 |
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- | 0.0139 | 104.8 | 393 | 2.0235 | 0.7667 |
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- | 0.0139 | 105.8667 | 397 | 2.0766 | 0.75 |
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- | 0.0002 | 106.9333 | 401 | 2.1165 | 0.75 |
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- | 0.0002 | 108.0 | 405 | 2.1381 | 0.75 |
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- | 0.0002 | 108.8 | 408 | 2.1499 | 0.75 |
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- | 0.0002 | 109.8667 | 412 | 2.1606 | 0.75 |
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- | 0.0002 | 110.9333 | 416 | 2.1690 | 0.75 |
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- | 0.0003 | 112.0 | 420 | 2.1885 | 0.75 |
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- | 0.0003 | 112.8 | 423 | 2.1999 | 0.7667 |
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- | 0.0003 | 113.8667 | 427 | 2.2259 | 0.7667 |
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- | 0.0002 | 114.9333 | 431 | 2.2407 | 0.7667 |
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- | 0.0002 | 116.0 | 435 | 2.2495 | 0.7667 |
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- | 0.0002 | 116.8 | 438 | 2.2540 | 0.7667 |
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- | 0.0002 | 117.8667 | 442 | 2.2586 | 0.7667 |
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- | 0.0002 | 118.9333 | 446 | 2.2621 | 0.7667 |
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- | 0.0002 | 120.0 | 450 | 2.2649 | 0.7667 |
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- | 0.0002 | 120.8 | 453 | 2.2667 | 0.7667 |
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- | 0.0002 | 121.8667 | 457 | 2.2688 | 0.7667 |
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- | 0.0002 | 122.9333 | 461 | 2.2703 | 0.7667 |
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- | 0.0002 | 124.0 | 465 | 2.2780 | 0.7667 |
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- | 0.0002 | 124.8 | 468 | 2.3739 | 0.7333 |
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- | 0.0135 | 125.8667 | 472 | 2.5980 | 0.7167 |
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- | 0.0135 | 126.9333 | 476 | 2.6220 | 0.7167 |
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- | 0.0002 | 128.0 | 480 | 2.6222 | 0.7 |
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- | 0.0002 | 128.8 | 483 | 2.6256 | 0.7 |
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- | 0.0002 | 129.8667 | 487 | 2.6269 | 0.7 |
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- | 0.0002 | 130.9333 | 491 | 2.6252 | 0.7 |
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- | 0.0002 | 132.0 | 495 | 2.6242 | 0.7 |
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- | 0.0002 | 132.8 | 498 | 2.6246 | 0.7 |
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- | 0.0002 | 133.8667 | 502 | 2.6254 | 0.7 |
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- | 0.0002 | 134.9333 | 506 | 2.5711 | 0.7167 |
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- | 0.0006 | 136.0 | 510 | 2.4951 | 0.7167 |
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- | 0.0006 | 136.8 | 513 | 2.3984 | 0.7167 |
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- | 0.0006 | 137.8667 | 517 | 2.3061 | 0.7333 |
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- | 0.0002 | 138.9333 | 521 | 2.2489 | 0.75 |
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- | 0.0002 | 140.0 | 525 | 2.2252 | 0.75 |
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- | 0.0002 | 140.8 | 528 | 2.2180 | 0.7667 |
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- | 0.0104 | 141.8667 | 532 | 2.2306 | 0.7667 |
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- | 0.0104 | 142.9333 | 536 | 2.2448 | 0.7667 |
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- | 0.0002 | 144.0 | 540 | 2.2539 | 0.7667 |
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- | 0.0002 | 144.8 | 543 | 2.2578 | 0.7667 |
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- | 0.0002 | 145.8667 | 547 | 2.2611 | 0.7667 |
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- | 0.0002 | 146.9333 | 551 | 2.2631 | 0.7667 |
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- | 0.0002 | 148.0 | 555 | 2.2647 | 0.7667 |
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- | 0.0002 | 148.8 | 558 | 2.2629 | 0.7667 |
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- | 0.0002 | 149.8667 | 562 | 2.2633 | 0.7667 |
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- | 0.0002 | 150.9333 | 566 | 2.2652 | 0.7667 |
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- | 0.0091 | 152.0 | 570 | 2.2670 | 0.7667 |
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- | 0.0091 | 152.8 | 573 | 2.2679 | 0.7667 |
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- | 0.0091 | 153.8667 | 577 | 2.2687 | 0.7667 |
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- | 0.0002 | 154.9333 | 581 | 2.2693 | 0.7667 |
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- | 0.0002 | 156.0 | 585 | 2.2694 | 0.7667 |
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- | 0.0002 | 156.8 | 588 | 2.2697 | 0.7667 |
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- | 0.0002 | 157.8667 | 592 | 2.2698 | 0.7667 |
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- | 0.0002 | 158.9333 | 596 | 2.2699 | 0.7667 |
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- | 0.0002 | 160.0 | 600 | 2.2700 | 0.7667 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9415
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  - Accuracy: 0.7667
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 2 | 2.2720 | 0.7667 |
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+ | No log | 2.0 | 4 | 2.2841 | 0.7667 |
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+ | No log | 3.0 | 6 | 2.3201 | 0.75 |
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+ | No log | 4.0 | 8 | 2.2883 | 0.7667 |
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+ | 0.0046 | 5.0 | 10 | 2.2350 | 0.7667 |
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+ | 0.0046 | 6.0 | 12 | 2.0393 | 0.7667 |
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+ | 0.0046 | 7.0 | 14 | 1.9176 | 0.7833 |
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+ | 0.0046 | 8.0 | 16 | 1.9143 | 0.7833 |
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+ | 0.0046 | 9.0 | 18 | 1.9518 | 0.7833 |
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+ | 0.0002 | 10.0 | 20 | 2.0304 | 0.7667 |
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+ | 0.0002 | 11.0 | 22 | 2.1647 | 0.7667 |
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+ | 0.0002 | 12.0 | 24 | 2.3829 | 0.75 |
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+ | 0.0002 | 13.0 | 26 | 2.4942 | 0.75 |
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+ | 0.0002 | 14.0 | 28 | 2.5029 | 0.75 |
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+ | 0.004 | 15.0 | 30 | 2.7458 | 0.7 |
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+ | 0.004 | 16.0 | 32 | 2.7783 | 0.7 |
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+ | 0.004 | 17.0 | 34 | 2.6600 | 0.7333 |
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+ | 0.004 | 18.0 | 36 | 2.7163 | 0.7 |
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+ | 0.004 | 19.0 | 38 | 2.2924 | 0.75 |
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+ | 0.0147 | 20.0 | 40 | 2.2494 | 0.7667 |
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+ | 0.0147 | 21.0 | 42 | 2.4246 | 0.7333 |
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+ | 0.0147 | 22.0 | 44 | 2.6887 | 0.7167 |
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+ | 0.0147 | 23.0 | 46 | 2.5264 | 0.7 |
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+ | 0.0147 | 24.0 | 48 | 2.3179 | 0.75 |
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+ | 0.0271 | 25.0 | 50 | 2.1745 | 0.7667 |
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+ | 0.0271 | 26.0 | 52 | 2.0277 | 0.8 |
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+ | 0.0271 | 27.0 | 54 | 2.2430 | 0.75 |
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+ | 0.0271 | 28.0 | 56 | 2.1641 | 0.7333 |
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+ | 0.0271 | 29.0 | 58 | 2.5573 | 0.6833 |
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+ | 0.0596 | 30.0 | 60 | 2.9387 | 0.6167 |
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+ | 0.0596 | 31.0 | 62 | 3.0547 | 0.6167 |
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+ | 0.0596 | 32.0 | 64 | 2.8590 | 0.6 |
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+ | 0.0596 | 33.0 | 66 | 3.0040 | 0.6167 |
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+ | 0.0596 | 34.0 | 68 | 3.0337 | 0.6 |
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+ | 0.05 | 35.0 | 70 | 2.2825 | 0.6667 |
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+ | 0.05 | 36.0 | 72 | 1.9014 | 0.7333 |
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+ | 0.05 | 37.0 | 74 | 1.8035 | 0.7667 |
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+ | 0.05 | 38.0 | 76 | 1.5818 | 0.7833 |
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+ | 0.05 | 39.0 | 78 | 1.8626 | 0.75 |
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+ | 0.0124 | 40.0 | 80 | 1.7125 | 0.7667 |
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+ | 0.0124 | 41.0 | 82 | 1.6466 | 0.7833 |
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+ | 0.0124 | 42.0 | 84 | 1.8513 | 0.7333 |
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+ | 0.0124 | 43.0 | 86 | 1.8530 | 0.75 |
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+ | 0.0124 | 44.0 | 88 | 2.3394 | 0.65 |
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+ | 0.0186 | 45.0 | 90 | 2.4217 | 0.65 |
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+ | 0.0186 | 46.0 | 92 | 2.1086 | 0.7 |
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+ | 0.0186 | 47.0 | 94 | 2.0958 | 0.6833 |
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+ | 0.0186 | 48.0 | 96 | 2.0922 | 0.6833 |
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+ | 0.0186 | 49.0 | 98 | 2.0835 | 0.7 |
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+ | 0.0149 | 50.0 | 100 | 2.0205 | 0.7333 |
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+ | 0.0149 | 51.0 | 102 | 1.5263 | 0.8 |
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+ | 0.0149 | 52.0 | 104 | 1.4687 | 0.8167 |
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+ | 0.0149 | 53.0 | 106 | 1.5307 | 0.7833 |
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+ | 0.0149 | 54.0 | 108 | 1.6047 | 0.7833 |
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+ | 0.0013 | 55.0 | 110 | 1.7679 | 0.7167 |
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+ | 0.0013 | 56.0 | 112 | 1.8846 | 0.75 |
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+ | 0.0013 | 57.0 | 114 | 2.3881 | 0.7 |
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+ | 0.0013 | 58.0 | 116 | 2.6379 | 0.6833 |
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+ | 0.0013 | 59.0 | 118 | 2.7034 | 0.6833 |
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+ | 0.0155 | 60.0 | 120 | 2.9447 | 0.65 |
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+ | 0.0155 | 61.0 | 122 | 3.2150 | 0.6167 |
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+ | 0.0155 | 62.0 | 124 | 3.4130 | 0.6167 |
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+ | 0.0155 | 63.0 | 126 | 3.3817 | 0.6333 |
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+ | 0.0155 | 64.0 | 128 | 3.3581 | 0.6167 |
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+ | 0.0111 | 65.0 | 130 | 2.9241 | 0.6667 |
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+ | 0.0111 | 66.0 | 132 | 3.0085 | 0.6667 |
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+ | 0.0111 | 67.0 | 134 | 2.8478 | 0.6833 |
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+ | 0.0111 | 68.0 | 136 | 2.7320 | 0.6833 |
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+ | 0.0111 | 69.0 | 138 | 2.6933 | 0.6833 |
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+ | 0.0168 | 70.0 | 140 | 2.9740 | 0.6833 |
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+ | 0.0168 | 71.0 | 142 | 3.1446 | 0.65 |
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+ | 0.0168 | 72.0 | 144 | 3.2257 | 0.65 |
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+ | 0.0168 | 73.0 | 146 | 3.1502 | 0.65 |
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+ | 0.0168 | 74.0 | 148 | 3.0858 | 0.6333 |
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+ | 0.0187 | 75.0 | 150 | 2.7265 | 0.6667 |
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+ | 0.0187 | 76.0 | 152 | 2.5229 | 0.7 |
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+ | 0.0187 | 77.0 | 154 | 2.3222 | 0.7167 |
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+ | 0.0187 | 78.0 | 156 | 2.3554 | 0.7 |
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+ | 0.0187 | 79.0 | 158 | 2.3848 | 0.7 |
134
+ | 0.0018 | 80.0 | 160 | 2.3766 | 0.7 |
135
+ | 0.0018 | 81.0 | 162 | 2.3308 | 0.7 |
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+ | 0.0018 | 82.0 | 164 | 2.1257 | 0.7333 |
137
+ | 0.0018 | 83.0 | 166 | 2.1291 | 0.75 |
138
+ | 0.0018 | 84.0 | 168 | 2.1757 | 0.7333 |
139
+ | 0.0065 | 85.0 | 170 | 2.3008 | 0.75 |
140
+ | 0.0065 | 86.0 | 172 | 2.3024 | 0.75 |
141
+ | 0.0065 | 87.0 | 174 | 2.2877 | 0.75 |
142
+ | 0.0065 | 88.0 | 176 | 2.2673 | 0.75 |
143
+ | 0.0065 | 89.0 | 178 | 2.3754 | 0.7167 |
144
+ | 0.0214 | 90.0 | 180 | 2.4390 | 0.7 |
145
+ | 0.0214 | 91.0 | 182 | 2.4341 | 0.7167 |
146
+ | 0.0214 | 92.0 | 184 | 2.4128 | 0.7167 |
147
+ | 0.0214 | 93.0 | 186 | 2.3715 | 0.7167 |
148
+ | 0.0214 | 94.0 | 188 | 2.4491 | 0.7167 |
149
+ | 0.0376 | 95.0 | 190 | 2.5154 | 0.7167 |
150
+ | 0.0376 | 96.0 | 192 | 2.2634 | 0.7333 |
151
+ | 0.0376 | 97.0 | 194 | 2.0648 | 0.7667 |
152
+ | 0.0376 | 98.0 | 196 | 1.9852 | 0.7667 |
153
+ | 0.0376 | 99.0 | 198 | 1.9437 | 0.7833 |
154
+ | 0.0012 | 100.0 | 200 | 2.0033 | 0.7667 |
155
+ | 0.0012 | 101.0 | 202 | 2.0447 | 0.7667 |
156
+ | 0.0012 | 102.0 | 204 | 2.0606 | 0.7667 |
157
+ | 0.0012 | 103.0 | 206 | 2.0550 | 0.7667 |
158
+ | 0.0012 | 104.0 | 208 | 2.0305 | 0.7667 |
159
+ | 0.0002 | 105.0 | 210 | 1.9972 | 0.7667 |
160
+ | 0.0002 | 106.0 | 212 | 1.9731 | 0.7833 |
161
+ | 0.0002 | 107.0 | 214 | 1.9652 | 0.7833 |
162
+ | 0.0002 | 108.0 | 216 | 1.9628 | 0.7833 |
163
+ | 0.0002 | 109.0 | 218 | 1.9216 | 0.7833 |
164
+ | 0.0016 | 110.0 | 220 | 1.8645 | 0.7833 |
165
+ | 0.0016 | 111.0 | 222 | 1.8024 | 0.7667 |
166
+ | 0.0016 | 112.0 | 224 | 1.8894 | 0.75 |
167
+ | 0.0016 | 113.0 | 226 | 1.9666 | 0.7333 |
168
+ | 0.0016 | 114.0 | 228 | 2.0447 | 0.7167 |
169
+ | 0.004 | 115.0 | 230 | 2.0705 | 0.7167 |
170
+ | 0.004 | 116.0 | 232 | 2.0641 | 0.7167 |
171
+ | 0.004 | 117.0 | 234 | 2.0470 | 0.7167 |
172
+ | 0.004 | 118.0 | 236 | 2.0347 | 0.7333 |
173
+ | 0.004 | 119.0 | 238 | 2.0484 | 0.7333 |
174
+ | 0.0092 | 120.0 | 240 | 1.9822 | 0.75 |
175
+ | 0.0092 | 121.0 | 242 | 2.2340 | 0.7333 |
176
+ | 0.0092 | 122.0 | 244 | 2.5968 | 0.7 |
177
+ | 0.0092 | 123.0 | 246 | 2.9225 | 0.6833 |
178
+ | 0.0092 | 124.0 | 248 | 2.9789 | 0.6833 |
179
+ | 0.0285 | 125.0 | 250 | 2.9706 | 0.6833 |
180
+ | 0.0285 | 126.0 | 252 | 2.9491 | 0.6833 |
181
+ | 0.0285 | 127.0 | 254 | 2.8185 | 0.7167 |
182
+ | 0.0285 | 128.0 | 256 | 2.7680 | 0.7167 |
183
+ | 0.0285 | 129.0 | 258 | 2.6827 | 0.7167 |
184
+ | 0.0055 | 130.0 | 260 | 2.5914 | 0.7167 |
185
+ | 0.0055 | 131.0 | 262 | 2.5078 | 0.7333 |
186
+ | 0.0055 | 132.0 | 264 | 2.4782 | 0.7167 |
187
+ | 0.0055 | 133.0 | 266 | 2.4659 | 0.7333 |
188
+ | 0.0055 | 134.0 | 268 | 2.4607 | 0.7333 |
189
+ | 0.0002 | 135.0 | 270 | 2.4577 | 0.7167 |
190
+ | 0.0002 | 136.0 | 272 | 2.4564 | 0.7167 |
191
+ | 0.0002 | 137.0 | 274 | 2.4510 | 0.7167 |
192
+ | 0.0002 | 138.0 | 276 | 2.4595 | 0.7167 |
193
+ | 0.0002 | 139.0 | 278 | 2.4420 | 0.7167 |
194
+ | 0.007 | 140.0 | 280 | 2.4052 | 0.7333 |
195
+ | 0.007 | 141.0 | 282 | 2.3583 | 0.7333 |
196
+ | 0.007 | 142.0 | 284 | 2.3137 | 0.7333 |
197
+ | 0.007 | 143.0 | 286 | 2.3157 | 0.7333 |
198
+ | 0.007 | 144.0 | 288 | 2.3150 | 0.7333 |
199
+ | 0.0002 | 145.0 | 290 | 2.3049 | 0.7333 |
200
+ | 0.0002 | 146.0 | 292 | 2.2911 | 0.7333 |
201
+ | 0.0002 | 147.0 | 294 | 2.3205 | 0.7333 |
202
+ | 0.0002 | 148.0 | 296 | 2.3684 | 0.7333 |
203
+ | 0.0002 | 149.0 | 298 | 2.3957 | 0.7333 |
204
+ | 0.0002 | 150.0 | 300 | 2.4126 | 0.7333 |
205
+ | 0.0002 | 151.0 | 302 | 2.4218 | 0.7333 |
206
+ | 0.0002 | 152.0 | 304 | 2.4271 | 0.7333 |
207
+ | 0.0002 | 153.0 | 306 | 2.4293 | 0.7333 |
208
+ | 0.0002 | 154.0 | 308 | 2.4310 | 0.7333 |
209
+ | 0.0001 | 155.0 | 310 | 2.4319 | 0.7333 |
210
+ | 0.0001 | 156.0 | 312 | 2.4318 | 0.7333 |
211
+ | 0.0001 | 157.0 | 314 | 2.4318 | 0.7333 |
212
+ | 0.0001 | 158.0 | 316 | 2.4320 | 0.7333 |
213
+ | 0.0001 | 159.0 | 318 | 2.4315 | 0.7333 |
214
+ | 0.0001 | 160.0 | 320 | 2.4326 | 0.7333 |
215
+ | 0.0001 | 161.0 | 322 | 2.4350 | 0.7333 |
216
+ | 0.0001 | 162.0 | 324 | 2.4369 | 0.7333 |
217
+ | 0.0001 | 163.0 | 326 | 2.4525 | 0.7167 |
218
+ | 0.0001 | 164.0 | 328 | 2.4704 | 0.7167 |
219
+ | 0.003 | 165.0 | 330 | 2.4740 | 0.7167 |
220
+ | 0.003 | 166.0 | 332 | 2.4686 | 0.7167 |
221
+ | 0.003 | 167.0 | 334 | 2.4617 | 0.7167 |
222
+ | 0.003 | 168.0 | 336 | 2.4549 | 0.7167 |
223
+ | 0.003 | 169.0 | 338 | 2.4498 | 0.7167 |
224
+ | 0.0001 | 170.0 | 340 | 2.4439 | 0.7167 |
225
+ | 0.0001 | 171.0 | 342 | 2.4396 | 0.7167 |
226
+ | 0.0001 | 172.0 | 344 | 2.4360 | 0.7167 |
227
+ | 0.0001 | 173.0 | 346 | 2.4340 | 0.7167 |
228
+ | 0.0001 | 174.0 | 348 | 2.3907 | 0.7167 |
229
+ | 0.0068 | 175.0 | 350 | 2.3436 | 0.75 |
230
+ | 0.0068 | 176.0 | 352 | 2.3229 | 0.75 |
231
+ | 0.0068 | 177.0 | 354 | 2.2971 | 0.75 |
232
+ | 0.0068 | 178.0 | 356 | 2.2626 | 0.75 |
233
+ | 0.0068 | 179.0 | 358 | 2.2204 | 0.75 |
234
+ | 0.0001 | 180.0 | 360 | 2.1756 | 0.75 |
235
+ | 0.0001 | 181.0 | 362 | 2.1314 | 0.75 |
236
+ | 0.0001 | 182.0 | 364 | 2.0944 | 0.75 |
237
+ | 0.0001 | 183.0 | 366 | 2.0457 | 0.75 |
238
+ | 0.0001 | 184.0 | 368 | 2.0049 | 0.7667 |
239
+ | 0.0081 | 185.0 | 370 | 1.9810 | 0.75 |
240
+ | 0.0081 | 186.0 | 372 | 1.9649 | 0.75 |
241
+ | 0.0081 | 187.0 | 374 | 1.9524 | 0.75 |
242
+ | 0.0081 | 188.0 | 376 | 1.9434 | 0.75 |
243
+ | 0.0081 | 189.0 | 378 | 1.9369 | 0.75 |
244
+ | 0.0003 | 190.0 | 380 | 1.9368 | 0.75 |
245
+ | 0.0003 | 191.0 | 382 | 1.9369 | 0.75 |
246
+ | 0.0003 | 192.0 | 384 | 1.9339 | 0.75 |
247
+ | 0.0003 | 193.0 | 386 | 1.9302 | 0.75 |
248
+ | 0.0003 | 194.0 | 388 | 1.9306 | 0.75 |
249
+ | 0.0049 | 195.0 | 390 | 1.9328 | 0.75 |
250
+ | 0.0049 | 196.0 | 392 | 1.9359 | 0.75 |
251
+ | 0.0049 | 197.0 | 394 | 1.9377 | 0.75 |
252
+ | 0.0049 | 198.0 | 396 | 1.9403 | 0.75 |
253
+ | 0.0049 | 199.0 | 398 | 1.9412 | 0.7667 |
254
+ | 0.0057 | 200.0 | 400 | 1.9415 | 0.7667 |
255
 
256
 
257
  ### Framework versions