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farid1088
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RoBERTa-legal-de-cased_German_legal_SQuAD_part_augmented_100

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roberta
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  1. README.md +101 -101
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar07_06-30-12_hcdsgpu2/events.out.tfevents.1709793017.hcdsgpu2.378728.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3981
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  ## Model description
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@@ -44,106 +44,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 4 | 6.2414 |
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- | No log | 2.0 | 8 | 6.0978 |
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- | No log | 3.0 | 12 | 5.5621 |
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- | No log | 4.0 | 16 | 5.1894 |
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- | No log | 5.0 | 20 | 5.0457 |
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- | No log | 6.0 | 24 | 4.8550 |
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- | No log | 7.0 | 28 | 4.5849 |
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- | No log | 8.0 | 32 | 4.4121 |
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- | No log | 9.0 | 36 | 4.0692 |
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- | No log | 10.0 | 40 | 4.0161 |
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- | No log | 11.0 | 44 | 3.7599 |
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- | No log | 12.0 | 48 | 3.5500 |
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- | No log | 13.0 | 52 | 3.3355 |
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- | No log | 14.0 | 56 | 3.2551 |
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- | No log | 15.0 | 60 | 3.1589 |
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- | No log | 16.0 | 64 | 3.1337 |
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- | No log | 17.0 | 68 | 2.9957 |
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- | No log | 18.0 | 72 | 2.9202 |
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- | No log | 19.0 | 76 | 2.8251 |
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- | No log | 20.0 | 80 | 2.8636 |
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- | No log | 21.0 | 84 | 2.6767 |
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- | No log | 22.0 | 88 | 2.6831 |
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- | No log | 23.0 | 92 | 2.5431 |
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- | No log | 24.0 | 96 | 2.6318 |
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- | No log | 25.0 | 100 | 2.5144 |
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- | No log | 26.0 | 104 | 2.4200 |
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- | No log | 27.0 | 108 | 2.4014 |
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- | No log | 28.0 | 112 | 2.3905 |
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- | No log | 29.0 | 116 | 2.2817 |
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- | No log | 30.0 | 120 | 2.2476 |
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- | No log | 31.0 | 124 | 2.1232 |
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- | No log | 32.0 | 128 | 2.1104 |
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- | No log | 33.0 | 132 | 2.0932 |
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- | No log | 34.0 | 136 | 2.1027 |
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- | No log | 35.0 | 140 | 2.0556 |
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- | No log | 36.0 | 144 | 1.8761 |
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- | No log | 37.0 | 148 | 1.9304 |
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- | No log | 38.0 | 152 | 1.8996 |
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- | No log | 39.0 | 156 | 1.9133 |
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- | No log | 40.0 | 160 | 1.7295 |
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- | No log | 41.0 | 164 | 1.9239 |
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- | No log | 42.0 | 168 | 1.8440 |
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- | No log | 43.0 | 172 | 1.7736 |
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- | No log | 44.0 | 176 | 1.7968 |
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- | No log | 45.0 | 180 | 1.7128 |
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- | No log | 46.0 | 184 | 1.7419 |
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- | No log | 47.0 | 188 | 1.7464 |
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- | No log | 48.0 | 192 | 1.6897 |
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- | No log | 49.0 | 196 | 1.6350 |
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- | No log | 50.0 | 200 | 1.6649 |
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- | No log | 51.0 | 204 | 1.6266 |
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- | No log | 52.0 | 208 | 1.5436 |
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- | No log | 53.0 | 212 | 1.5438 |
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- | No log | 54.0 | 216 | 1.7041 |
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- | No log | 55.0 | 220 | 1.6698 |
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- | No log | 56.0 | 224 | 1.6928 |
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- | No log | 57.0 | 228 | 1.5527 |
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- | No log | 58.0 | 232 | 1.6167 |
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- | No log | 59.0 | 236 | 1.5316 |
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- | No log | 60.0 | 240 | 1.5382 |
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- | No log | 61.0 | 244 | 1.5047 |
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- | No log | 62.0 | 248 | 1.5381 |
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- | No log | 63.0 | 252 | 1.4976 |
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- | No log | 64.0 | 256 | 1.5103 |
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- | No log | 65.0 | 260 | 1.4530 |
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- | No log | 66.0 | 264 | 1.3877 |
113
- | No log | 67.0 | 268 | 1.4400 |
114
- | No log | 68.0 | 272 | 1.4706 |
115
- | No log | 69.0 | 276 | 1.4795 |
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- | No log | 70.0 | 280 | 1.4144 |
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- | No log | 71.0 | 284 | 1.4011 |
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- | No log | 72.0 | 288 | 1.3450 |
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- | No log | 73.0 | 292 | 1.3671 |
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- | No log | 74.0 | 296 | 1.4089 |
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- | No log | 75.0 | 300 | 1.4376 |
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- | No log | 76.0 | 304 | 1.4353 |
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- | No log | 77.0 | 308 | 1.3263 |
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- | No log | 78.0 | 312 | 1.3406 |
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- | No log | 79.0 | 316 | 1.4131 |
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- | No log | 80.0 | 320 | 1.3755 |
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- | No log | 81.0 | 324 | 1.3845 |
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- | No log | 82.0 | 328 | 1.3946 |
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- | No log | 83.0 | 332 | 1.3918 |
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- | No log | 84.0 | 336 | 1.3905 |
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- | No log | 85.0 | 340 | 1.4110 |
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- | No log | 86.0 | 344 | 1.4120 |
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- | No log | 87.0 | 348 | 1.3920 |
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- | No log | 88.0 | 352 | 1.3801 |
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- | No log | 89.0 | 356 | 1.3916 |
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- | No log | 90.0 | 360 | 1.4177 |
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- | No log | 91.0 | 364 | 1.4180 |
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- | No log | 92.0 | 368 | 1.4150 |
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- | No log | 93.0 | 372 | 1.3952 |
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- | No log | 94.0 | 376 | 1.3808 |
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- | No log | 95.0 | 380 | 1.3775 |
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- | No log | 96.0 | 384 | 1.3872 |
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- | No log | 97.0 | 388 | 1.3974 |
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- | No log | 98.0 | 392 | 1.3987 |
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- | No log | 99.0 | 396 | 1.3986 |
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- | No log | 100.0 | 400 | 1.3981 |
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  ### Framework versions
 
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14
  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4416
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  ## Model description
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44
 
45
  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 4 | 6.3293 |
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+ | No log | 2.0 | 8 | 5.8283 |
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+ | No log | 3.0 | 12 | 5.4334 |
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+ | No log | 4.0 | 16 | 5.2429 |
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+ | No log | 5.0 | 20 | 4.8669 |
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+ | No log | 6.0 | 24 | 4.4701 |
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+ | No log | 7.0 | 28 | 4.2297 |
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+ | No log | 8.0 | 32 | 4.0554 |
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+ | No log | 9.0 | 36 | 3.8815 |
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+ | No log | 10.0 | 40 | 3.5843 |
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+ | No log | 11.0 | 44 | 3.4729 |
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+ | No log | 12.0 | 48 | 3.3379 |
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+ | No log | 13.0 | 52 | 3.2303 |
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+ | No log | 14.0 | 56 | 3.1452 |
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+ | No log | 15.0 | 60 | 3.1223 |
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+ | No log | 16.0 | 64 | 3.0092 |
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+ | No log | 17.0 | 68 | 2.9536 |
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+ | No log | 18.0 | 72 | 2.8647 |
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+ | No log | 19.0 | 76 | 2.8753 |
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+ | No log | 20.0 | 80 | 2.7204 |
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+ | No log | 21.0 | 84 | 2.7557 |
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+ | No log | 22.0 | 88 | 2.6483 |
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+ | No log | 23.0 | 92 | 2.5275 |
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+ | No log | 24.0 | 96 | 2.4505 |
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+ | No log | 25.0 | 100 | 2.4847 |
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+ | No log | 26.0 | 104 | 2.3516 |
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+ | No log | 27.0 | 108 | 2.2191 |
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+ | No log | 28.0 | 112 | 2.1020 |
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+ | No log | 29.0 | 116 | 2.1386 |
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+ | No log | 30.0 | 120 | 2.1153 |
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+ | No log | 31.0 | 124 | 2.0989 |
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+ | No log | 32.0 | 128 | 1.8817 |
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+ | No log | 33.0 | 132 | 2.0152 |
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+ | No log | 34.0 | 136 | 1.8738 |
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+ | No log | 35.0 | 140 | 1.9045 |
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+ | No log | 36.0 | 144 | 1.8466 |
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+ | No log | 37.0 | 148 | 1.7499 |
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+ | No log | 38.0 | 152 | 1.8594 |
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+ | No log | 39.0 | 156 | 1.7723 |
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+ | No log | 40.0 | 160 | 1.8203 |
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+ | No log | 41.0 | 164 | 1.7684 |
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+ | No log | 42.0 | 168 | 1.5812 |
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+ | No log | 43.0 | 172 | 1.7550 |
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+ | No log | 44.0 | 176 | 1.6747 |
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+ | No log | 45.0 | 180 | 1.6487 |
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+ | No log | 46.0 | 184 | 1.6728 |
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+ | No log | 47.0 | 188 | 1.6955 |
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+ | No log | 48.0 | 192 | 1.6211 |
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+ | No log | 49.0 | 196 | 1.6070 |
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+ | No log | 50.0 | 200 | 1.6091 |
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+ | No log | 51.0 | 204 | 1.5952 |
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+ | No log | 52.0 | 208 | 1.4647 |
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+ | No log | 53.0 | 212 | 1.4744 |
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+ | No log | 54.0 | 216 | 1.5051 |
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+ | No log | 55.0 | 220 | 1.6146 |
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+ | No log | 56.0 | 224 | 1.5492 |
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+ | No log | 57.0 | 228 | 1.5286 |
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+ | No log | 58.0 | 232 | 1.4871 |
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+ | No log | 59.0 | 236 | 1.5580 |
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+ | No log | 60.0 | 240 | 1.5212 |
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+ | No log | 61.0 | 244 | 1.5157 |
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+ | No log | 62.0 | 248 | 1.5376 |
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+ | No log | 63.0 | 252 | 1.4648 |
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+ | No log | 64.0 | 256 | 1.4697 |
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+ | No log | 65.0 | 260 | 1.5025 |
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+ | No log | 66.0 | 264 | 1.4722 |
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+ | No log | 67.0 | 268 | 1.4684 |
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+ | No log | 68.0 | 272 | 1.5077 |
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+ | No log | 69.0 | 276 | 1.4737 |
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+ | No log | 70.0 | 280 | 1.4310 |
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+ | No log | 71.0 | 284 | 1.4161 |
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+ | No log | 72.0 | 288 | 1.4315 |
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+ | No log | 73.0 | 292 | 1.4474 |
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+ | No log | 74.0 | 296 | 1.4604 |
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+ | No log | 75.0 | 300 | 1.4644 |
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+ | No log | 76.0 | 304 | 1.4635 |
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+ | No log | 77.0 | 308 | 1.4333 |
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+ | No log | 78.0 | 312 | 1.4232 |
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+ | No log | 79.0 | 316 | 1.4252 |
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+ | No log | 80.0 | 320 | 1.3964 |
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+ | No log | 81.0 | 324 | 1.4254 |
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+ | No log | 82.0 | 328 | 1.4752 |
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+ | No log | 83.0 | 332 | 1.4613 |
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+ | No log | 84.0 | 336 | 1.4674 |
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+ | No log | 85.0 | 340 | 1.4754 |
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+ | No log | 86.0 | 344 | 1.4524 |
133
+ | No log | 87.0 | 348 | 1.4367 |
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+ | No log | 88.0 | 352 | 1.4257 |
135
+ | No log | 89.0 | 356 | 1.4236 |
136
+ | No log | 90.0 | 360 | 1.4267 |
137
+ | No log | 91.0 | 364 | 1.4198 |
138
+ | No log | 92.0 | 368 | 1.4161 |
139
+ | No log | 93.0 | 372 | 1.4145 |
140
+ | No log | 94.0 | 376 | 1.4210 |
141
+ | No log | 95.0 | 380 | 1.4262 |
142
+ | No log | 96.0 | 384 | 1.4376 |
143
+ | No log | 97.0 | 388 | 1.4432 |
144
+ | No log | 98.0 | 392 | 1.4451 |
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+ | No log | 99.0 | 396 | 1.4436 |
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+ | No log | 100.0 | 400 | 1.4416 |
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  ### Framework versions
emissions.csv CHANGED
@@ -1,2 +1,2 @@
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  timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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- 2024-03-06T16:49:15,codecarbon,d82ba34e-e587-42ab-bf5f-d50b1bc848aa,362.5976240634918,0.054577301649309795,0.00015051753797414063,112.5,1072.645,377.88994789123535,0.01133100265264511,0.10470774134834475,0.03799648899463216,0.154035232995622,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0
 
1
  timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
2
+ 2024-03-07T06:36:19,codecarbon,96a459f9-b20d-4328-a7e4-0ac372677598,362.084130525589,0.054481934578902734,0.00015046761231932097,112.5,1043.5070000000003,377.88994789123535,0.011314965955913065,0.10450603947081764,0.03794507009011646,0.15376607551684715,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0
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