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farid1088
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GQA_RoBERTa_legal_SQuAD_complete_augmented_100

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  1. README.md +101 -101
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar06_19-53-32_hcdsgpu2/events.out.tfevents.1709754817.hcdsgpu2.2706557.0 +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: 3.7135
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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 | 5.0223 |
48
- | No log | 2.0 | 8 | 2.8588 |
49
- | No log | 3.0 | 12 | 3.7945 |
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- | No log | 4.0 | 16 | 2.6351 |
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- | No log | 5.0 | 20 | 3.0764 |
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- | No log | 6.0 | 24 | 2.4511 |
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- | No log | 7.0 | 28 | 2.5440 |
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- | No log | 8.0 | 32 | 2.8751 |
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- | No log | 9.0 | 36 | 2.6175 |
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- | No log | 10.0 | 40 | 2.9249 |
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- | No log | 11.0 | 44 | 2.3475 |
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- | No log | 12.0 | 48 | 2.8935 |
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- | No log | 13.0 | 52 | 2.7712 |
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- | No log | 14.0 | 56 | 2.5911 |
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- | No log | 15.0 | 60 | 3.1567 |
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- | No log | 16.0 | 64 | 2.7002 |
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- | No log | 17.0 | 68 | 3.0797 |
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- | No log | 18.0 | 72 | 2.9672 |
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- | No log | 19.0 | 76 | 3.2383 |
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- | No log | 20.0 | 80 | 3.1447 |
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- | No log | 21.0 | 84 | 3.1826 |
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- | No log | 22.0 | 88 | 3.4054 |
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- | No log | 23.0 | 92 | 3.1397 |
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- | No log | 24.0 | 96 | 3.3258 |
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- | No log | 25.0 | 100 | 3.2254 |
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- | No log | 26.0 | 104 | 3.1559 |
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- | No log | 27.0 | 108 | 3.5900 |
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- | No log | 28.0 | 112 | 3.3985 |
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- | No log | 29.0 | 116 | 3.7034 |
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- | No log | 30.0 | 120 | 3.6305 |
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- | No log | 31.0 | 124 | 3.4161 |
78
- | No log | 32.0 | 128 | 3.6157 |
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- | No log | 33.0 | 132 | 3.3394 |
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- | No log | 34.0 | 136 | 3.5239 |
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- | No log | 35.0 | 140 | 3.4075 |
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- | No log | 36.0 | 144 | 3.3560 |
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- | No log | 37.0 | 148 | 3.6675 |
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- | No log | 38.0 | 152 | 3.3822 |
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- | No log | 39.0 | 156 | 3.5903 |
86
- | No log | 40.0 | 160 | 3.7123 |
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- | No log | 41.0 | 164 | 3.5195 |
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- | No log | 42.0 | 168 | 3.6451 |
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- | No log | 43.0 | 172 | 3.4411 |
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- | No log | 44.0 | 176 | 3.6223 |
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- | No log | 45.0 | 180 | 3.4833 |
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- | No log | 46.0 | 184 | 3.7552 |
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- | No log | 47.0 | 188 | 3.5525 |
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- | No log | 48.0 | 192 | 3.7382 |
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- | No log | 49.0 | 196 | 3.6046 |
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- | No log | 50.0 | 200 | 3.6106 |
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- | No log | 51.0 | 204 | 3.6298 |
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- | No log | 52.0 | 208 | 3.7597 |
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- | No log | 53.0 | 212 | 3.5995 |
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- | No log | 54.0 | 216 | 3.6429 |
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- | No log | 55.0 | 220 | 3.6862 |
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- | No log | 56.0 | 224 | 3.6334 |
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- | No log | 57.0 | 228 | 4.0924 |
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- | No log | 58.0 | 232 | 3.6489 |
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- | No log | 59.0 | 236 | 3.6355 |
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- | No log | 60.0 | 240 | 3.8356 |
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- | No log | 61.0 | 244 | 3.5758 |
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- | No log | 62.0 | 248 | 3.5889 |
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- | No log | 63.0 | 252 | 3.7572 |
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- | No log | 64.0 | 256 | 3.7237 |
111
- | No log | 65.0 | 260 | 3.6545 |
112
- | No log | 66.0 | 264 | 3.7671 |
113
- | No log | 67.0 | 268 | 3.6976 |
114
- | No log | 68.0 | 272 | 3.6523 |
115
- | No log | 69.0 | 276 | 3.7270 |
116
- | No log | 70.0 | 280 | 3.7120 |
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- | No log | 71.0 | 284 | 3.6896 |
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- | No log | 72.0 | 288 | 3.6892 |
119
- | No log | 73.0 | 292 | 3.6871 |
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- | No log | 74.0 | 296 | 3.7154 |
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- | No log | 75.0 | 300 | 3.6874 |
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- | No log | 76.0 | 304 | 3.7207 |
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- | No log | 77.0 | 308 | 3.7025 |
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- | No log | 78.0 | 312 | 3.6979 |
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- | No log | 79.0 | 316 | 3.7120 |
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- | No log | 80.0 | 320 | 3.7363 |
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- | No log | 81.0 | 324 | 3.7563 |
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- | No log | 82.0 | 328 | 3.7290 |
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- | No log | 83.0 | 332 | 3.6939 |
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- | No log | 84.0 | 336 | 3.6881 |
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- | No log | 85.0 | 340 | 3.6798 |
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- | No log | 86.0 | 344 | 3.6658 |
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- | No log | 87.0 | 348 | 3.6642 |
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- | No log | 88.0 | 352 | 3.6678 |
135
- | No log | 89.0 | 356 | 3.6846 |
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- | No log | 90.0 | 360 | 3.6806 |
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- | No log | 91.0 | 364 | 3.6778 |
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- | No log | 92.0 | 368 | 3.6777 |
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- | No log | 93.0 | 372 | 3.6907 |
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- | No log | 94.0 | 376 | 3.7072 |
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- | No log | 95.0 | 380 | 3.7095 |
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- | No log | 96.0 | 384 | 3.7103 |
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- | No log | 97.0 | 388 | 3.7127 |
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- | No log | 98.0 | 392 | 3.7138 |
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- | No log | 99.0 | 396 | 3.7140 |
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- | No log | 100.0 | 400 | 3.7135 |
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149
  ### Framework versions
 
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14
  This model was trained from scratch on the None dataset.
15
  It achieves the following results on the evaluation set:
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+ - Loss: 0.8115
17
 
18
  ## Model description
19
 
 
44
 
45
  | Training Loss | Epoch | Step | Validation Loss |
46
  |:-------------:|:-----:|:----:|:---------------:|
47
+ | No log | 1.0 | 4 | 3.7779 |
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+ | No log | 2.0 | 8 | 3.1298 |
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+ | No log | 3.0 | 12 | 2.7509 |
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+ | No log | 4.0 | 16 | 2.4195 |
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+ | No log | 5.0 | 20 | 2.0781 |
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+ | No log | 6.0 | 24 | 1.9657 |
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+ | No log | 7.0 | 28 | 1.7131 |
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+ | No log | 8.0 | 32 | 1.5142 |
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+ | No log | 9.0 | 36 | 1.4133 |
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+ | No log | 10.0 | 40 | 1.2182 |
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+ | No log | 11.0 | 44 | 1.1278 |
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+ | No log | 12.0 | 48 | 0.9984 |
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+ | No log | 13.0 | 52 | 0.9583 |
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+ | No log | 14.0 | 56 | 0.9222 |
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+ | No log | 15.0 | 60 | 0.9156 |
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+ | No log | 16.0 | 64 | 0.7979 |
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+ | No log | 17.0 | 68 | 0.8205 |
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+ | No log | 18.0 | 72 | 0.7654 |
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+ | No log | 19.0 | 76 | 0.7767 |
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+ | No log | 20.0 | 80 | 0.7633 |
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+ | No log | 21.0 | 84 | 0.7075 |
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+ | No log | 22.0 | 88 | 0.7287 |
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+ | No log | 23.0 | 92 | 0.7088 |
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+ | No log | 24.0 | 96 | 0.7165 |
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+ | No log | 25.0 | 100 | 0.7375 |
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+ | No log | 26.0 | 104 | 0.7581 |
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+ | No log | 27.0 | 108 | 0.7481 |
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+ | No log | 28.0 | 112 | 0.7394 |
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+ | No log | 29.0 | 116 | 0.7362 |
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+ | No log | 30.0 | 120 | 0.7300 |
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+ | No log | 31.0 | 124 | 0.7306 |
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+ | No log | 32.0 | 128 | 0.7348 |
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+ | No log | 33.0 | 132 | 0.7495 |
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+ | No log | 34.0 | 136 | 0.7526 |
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+ | No log | 35.0 | 140 | 0.7432 |
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+ | No log | 36.0 | 144 | 0.7492 |
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+ | No log | 37.0 | 148 | 0.7356 |
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+ | No log | 38.0 | 152 | 0.7347 |
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+ | No log | 39.0 | 156 | 0.7415 |
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+ | No log | 40.0 | 160 | 0.7401 |
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+ | No log | 41.0 | 164 | 0.7340 |
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+ | No log | 42.0 | 168 | 0.7388 |
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+ | No log | 43.0 | 172 | 0.7358 |
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+ | No log | 44.0 | 176 | 0.7471 |
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+ | No log | 45.0 | 180 | 0.7642 |
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+ | No log | 46.0 | 184 | 0.7823 |
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+ | No log | 47.0 | 188 | 0.7659 |
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+ | No log | 48.0 | 192 | 0.7476 |
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+ | No log | 49.0 | 196 | 0.7545 |
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+ | No log | 50.0 | 200 | 0.7568 |
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+ | No log | 51.0 | 204 | 0.7658 |
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+ | No log | 52.0 | 208 | 0.7750 |
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+ | No log | 53.0 | 212 | 0.7738 |
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+ | No log | 54.0 | 216 | 0.7714 |
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+ | No log | 55.0 | 220 | 0.7765 |
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+ | No log | 56.0 | 224 | 0.7865 |
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+ | No log | 57.0 | 228 | 0.7902 |
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+ | No log | 58.0 | 232 | 0.7816 |
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+ | No log | 59.0 | 236 | 0.7863 |
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+ | No log | 60.0 | 240 | 0.7992 |
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+ | No log | 61.0 | 244 | 0.8242 |
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+ | No log | 62.0 | 248 | 0.8399 |
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+ | No log | 63.0 | 252 | 0.8415 |
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+ | No log | 64.0 | 256 | 0.8285 |
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+ | No log | 65.0 | 260 | 0.8209 |
112
+ | No log | 66.0 | 264 | 0.8182 |
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+ | No log | 67.0 | 268 | 0.8241 |
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+ | No log | 68.0 | 272 | 0.8260 |
115
+ | No log | 69.0 | 276 | 0.8195 |
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+ | No log | 70.0 | 280 | 0.8186 |
117
+ | No log | 71.0 | 284 | 0.8180 |
118
+ | No log | 72.0 | 288 | 0.8138 |
119
+ | No log | 73.0 | 292 | 0.8066 |
120
+ | No log | 74.0 | 296 | 0.8007 |
121
+ | No log | 75.0 | 300 | 0.7992 |
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+ | No log | 76.0 | 304 | 0.8054 |
123
+ | No log | 77.0 | 308 | 0.8121 |
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+ | No log | 78.0 | 312 | 0.8173 |
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+ | No log | 79.0 | 316 | 0.8279 |
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+ | No log | 80.0 | 320 | 0.8365 |
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+ | No log | 81.0 | 324 | 0.8280 |
128
+ | No log | 82.0 | 328 | 0.8165 |
129
+ | No log | 83.0 | 332 | 0.8094 |
130
+ | No log | 84.0 | 336 | 0.8064 |
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+ | No log | 85.0 | 340 | 0.8037 |
132
+ | No log | 86.0 | 344 | 0.8060 |
133
+ | No log | 87.0 | 348 | 0.8084 |
134
+ | No log | 88.0 | 352 | 0.8112 |
135
+ | No log | 89.0 | 356 | 0.8121 |
136
+ | No log | 90.0 | 360 | 0.8155 |
137
+ | No log | 91.0 | 364 | 0.8201 |
138
+ | No log | 92.0 | 368 | 0.8253 |
139
+ | No log | 93.0 | 372 | 0.8252 |
140
+ | No log | 94.0 | 376 | 0.8227 |
141
+ | No log | 95.0 | 380 | 0.8195 |
142
+ | No log | 96.0 | 384 | 0.8156 |
143
+ | No log | 97.0 | 388 | 0.8132 |
144
+ | No log | 98.0 | 392 | 0.8125 |
145
+ | No log | 99.0 | 396 | 0.8117 |
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+ | No log | 100.0 | 400 | 0.8115 |
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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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- 2024-03-06T02:07:47,codecarbon,02542dce-bdba-4f31-85d0-5194e105be25,365.8052337169647,0.05509155811839527,0.0001506035262497676,112.5,1012.4649999999999,377.88994789123535,0.01143122994154692,0.10571746573068545,0.03833793951150217,0.15548663518373454,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
+ 2024-03-06T19:59:40,codecarbon,90d04bce-61f9-4777-bfd5-466e47b0fd3d,362.7719690799713,0.054290928769195314,0.00014965579867397952,112.5,1054.6180000000002,377.88994789123535,0.011336443759500978,0.10386819861275427,0.03802235144739026,0.15322699381964544,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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