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farid1088
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GQA_BERT_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_13-33-03_hcdsgpu2/events.out.tfevents.1709731988.hcdsgpu2.1078775.0 +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: 4.6841
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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 | 4.8352 |
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- | No log | 2.0 | 8 | 3.4409 |
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- | No log | 3.0 | 12 | 3.6369 |
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- | No log | 4.0 | 16 | 3.2600 |
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- | No log | 5.0 | 20 | 3.2678 |
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- | No log | 6.0 | 24 | 3.1261 |
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- | No log | 7.0 | 28 | 3.0776 |
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- | No log | 8.0 | 32 | 3.4121 |
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- | No log | 9.0 | 36 | 3.0790 |
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- | No log | 10.0 | 40 | 3.5971 |
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- | No log | 11.0 | 44 | 3.1533 |
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- | No log | 12.0 | 48 | 3.7990 |
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- | No log | 13.0 | 52 | 3.2755 |
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- | No log | 14.0 | 56 | 3.8245 |
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- | No log | 15.0 | 60 | 3.4527 |
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- | No log | 16.0 | 64 | 4.0580 |
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- | No log | 17.0 | 68 | 3.6116 |
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- | No log | 18.0 | 72 | 3.9138 |
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- | No log | 19.0 | 76 | 4.0031 |
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- | No log | 20.0 | 80 | 4.1856 |
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- | No log | 21.0 | 84 | 4.1580 |
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- | No log | 22.0 | 88 | 4.3333 |
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- | No log | 23.0 | 92 | 4.2944 |
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- | No log | 24.0 | 96 | 4.3074 |
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- | No log | 25.0 | 100 | 4.3867 |
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- | No log | 26.0 | 104 | 4.2258 |
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- | No log | 27.0 | 108 | 4.2723 |
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- | No log | 28.0 | 112 | 4.4969 |
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- | No log | 29.0 | 116 | 4.4819 |
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- | No log | 30.0 | 120 | 4.1625 |
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- | No log | 31.0 | 124 | 4.5112 |
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- | No log | 32.0 | 128 | 4.3003 |
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- | No log | 33.0 | 132 | 4.4011 |
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- | No log | 34.0 | 136 | 4.6108 |
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- | No log | 35.0 | 140 | 4.2671 |
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- | No log | 36.0 | 144 | 4.3319 |
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- | No log | 37.0 | 148 | 4.5173 |
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- | No log | 38.0 | 152 | 4.4828 |
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- | No log | 39.0 | 156 | 4.3398 |
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- | No log | 40.0 | 160 | 4.5599 |
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- | No log | 41.0 | 164 | 4.5079 |
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- | No log | 42.0 | 168 | 4.3601 |
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- | No log | 43.0 | 172 | 4.7855 |
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- | No log | 44.0 | 176 | 4.8217 |
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- | No log | 45.0 | 180 | 4.5692 |
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- | No log | 46.0 | 184 | 4.7096 |
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- | No log | 47.0 | 188 | 4.8228 |
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- | No log | 48.0 | 192 | 4.6793 |
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- | No log | 49.0 | 196 | 4.6744 |
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- | No log | 50.0 | 200 | 4.7416 |
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- | No log | 51.0 | 204 | 4.7015 |
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- | No log | 52.0 | 208 | 4.6479 |
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- | No log | 53.0 | 212 | 4.6961 |
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- | No log | 54.0 | 216 | 4.7815 |
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- | No log | 55.0 | 220 | 4.7514 |
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- | No log | 56.0 | 224 | 4.7310 |
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- | No log | 57.0 | 228 | 4.5515 |
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- | No log | 58.0 | 232 | 4.6005 |
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- | No log | 59.0 | 236 | 4.7957 |
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- | No log | 60.0 | 240 | 4.7604 |
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- | No log | 61.0 | 244 | 4.7037 |
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- | No log | 62.0 | 248 | 4.7540 |
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- | No log | 63.0 | 252 | 4.7630 |
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- | No log | 64.0 | 256 | 4.7281 |
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- | No log | 65.0 | 260 | 4.7321 |
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- | No log | 66.0 | 264 | 5.0290 |
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- | No log | 67.0 | 268 | 5.0174 |
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- | No log | 68.0 | 272 | 4.7174 |
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- | No log | 69.0 | 276 | 4.7124 |
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- | No log | 70.0 | 280 | 5.0249 |
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- | No log | 71.0 | 284 | 5.2405 |
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- | No log | 72.0 | 288 | 4.9117 |
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- | No log | 73.0 | 292 | 4.6521 |
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- | No log | 74.0 | 296 | 4.5833 |
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- | No log | 75.0 | 300 | 4.6557 |
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- | No log | 76.0 | 304 | 4.7986 |
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- | No log | 77.0 | 308 | 4.7681 |
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- | No log | 78.0 | 312 | 4.6936 |
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- | No log | 79.0 | 316 | 4.7246 |
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- | No log | 80.0 | 320 | 4.7499 |
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- | No log | 81.0 | 324 | 4.7952 |
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- | No log | 82.0 | 328 | 4.7904 |
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- | No log | 83.0 | 332 | 4.8331 |
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- | No log | 84.0 | 336 | 4.7800 |
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- | No log | 85.0 | 340 | 4.7050 |
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- | No log | 86.0 | 344 | 4.6630 |
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- | No log | 87.0 | 348 | 4.6151 |
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- | No log | 88.0 | 352 | 4.6077 |
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- | No log | 89.0 | 356 | 4.6099 |
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- | No log | 90.0 | 360 | 4.6171 |
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- | No log | 91.0 | 364 | 4.6443 |
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- | No log | 92.0 | 368 | 4.6769 |
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- | No log | 93.0 | 372 | 4.7061 |
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- | No log | 94.0 | 376 | 4.7072 |
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- | No log | 95.0 | 380 | 4.7116 |
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- | No log | 96.0 | 384 | 4.6984 |
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- | No log | 97.0 | 388 | 4.6914 |
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- | No log | 98.0 | 392 | 4.6863 |
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- | No log | 99.0 | 396 | 4.6839 |
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- | No log | 100.0 | 400 | 4.6841 |
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  ### Framework versions
 
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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: 1.2100
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 4 | 4.8682 |
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+ | No log | 2.0 | 8 | 4.2730 |
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+ | No log | 3.0 | 12 | 3.6398 |
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+ | No log | 4.0 | 16 | 3.1455 |
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+ | No log | 5.0 | 20 | 2.7297 |
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+ | No log | 6.0 | 24 | 2.3844 |
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+ | No log | 7.0 | 28 | 2.0725 |
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+ | No log | 8.0 | 32 | 1.8236 |
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+ | No log | 9.0 | 36 | 1.6463 |
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+ | No log | 10.0 | 40 | 1.4038 |
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+ | No log | 11.0 | 44 | 1.3019 |
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+ | No log | 12.0 | 48 | 1.2451 |
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+ | No log | 13.0 | 52 | 1.1405 |
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+ | No log | 14.0 | 56 | 1.0619 |
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+ | No log | 15.0 | 60 | 1.0517 |
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+ | No log | 16.0 | 64 | 1.0360 |
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+ | No log | 17.0 | 68 | 1.0107 |
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+ | No log | 18.0 | 72 | 0.9929 |
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+ | No log | 19.0 | 76 | 1.0244 |
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+ | No log | 20.0 | 80 | 1.0331 |
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+ | No log | 21.0 | 84 | 1.0257 |
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+ | No log | 22.0 | 88 | 1.0301 |
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+ | No log | 23.0 | 92 | 1.0251 |
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+ | No log | 24.0 | 96 | 1.0220 |
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+ | No log | 25.0 | 100 | 1.0126 |
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+ | No log | 26.0 | 104 | 1.0261 |
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+ | No log | 27.0 | 108 | 1.0237 |
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+ | No log | 28.0 | 112 | 1.0297 |
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+ | No log | 29.0 | 116 | 1.0327 |
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+ | No log | 30.0 | 120 | 1.0501 |
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+ | No log | 31.0 | 124 | 1.0614 |
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+ | No log | 32.0 | 128 | 1.0668 |
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+ | No log | 33.0 | 132 | 1.0503 |
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+ | No log | 34.0 | 136 | 1.0463 |
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+ | No log | 35.0 | 140 | 1.0490 |
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+ | No log | 36.0 | 144 | 1.0738 |
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+ | No log | 37.0 | 148 | 1.0968 |
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+ | No log | 38.0 | 152 | 1.1256 |
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+ | No log | 39.0 | 156 | 1.1218 |
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+ | No log | 40.0 | 160 | 1.1161 |
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+ | No log | 41.0 | 164 | 1.1145 |
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+ | No log | 42.0 | 168 | 1.1072 |
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+ | No log | 43.0 | 172 | 1.0991 |
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+ | No log | 44.0 | 176 | 1.1346 |
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+ | No log | 45.0 | 180 | 1.1308 |
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+ | No log | 46.0 | 184 | 1.1307 |
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+ | No log | 47.0 | 188 | 1.1457 |
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+ | No log | 48.0 | 192 | 1.1671 |
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+ | No log | 49.0 | 196 | 1.1499 |
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+ | No log | 50.0 | 200 | 1.1410 |
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+ | No log | 51.0 | 204 | 1.1357 |
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+ | No log | 52.0 | 208 | 1.1664 |
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+ | No log | 53.0 | 212 | 1.1656 |
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+ | No log | 54.0 | 216 | 1.1656 |
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+ | No log | 55.0 | 220 | 1.1729 |
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+ | No log | 56.0 | 224 | 1.1928 |
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+ | No log | 57.0 | 228 | 1.1795 |
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+ | No log | 58.0 | 232 | 1.1924 |
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+ | No log | 59.0 | 236 | 1.1687 |
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+ | No log | 60.0 | 240 | 1.1868 |
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+ | No log | 61.0 | 244 | 1.1977 |
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+ | No log | 62.0 | 248 | 1.1880 |
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+ | No log | 63.0 | 252 | 1.1950 |
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+ | No log | 64.0 | 256 | 1.2011 |
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+ | No log | 65.0 | 260 | 1.1962 |
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+ | No log | 66.0 | 264 | 1.1938 |
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+ | No log | 67.0 | 268 | 1.2008 |
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+ | No log | 68.0 | 272 | 1.2157 |
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+ | No log | 69.0 | 276 | 1.2155 |
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+ | No log | 70.0 | 280 | 1.2192 |
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+ | No log | 71.0 | 284 | 1.2031 |
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+ | No log | 72.0 | 288 | 1.2139 |
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+ | No log | 73.0 | 292 | 1.2196 |
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+ | No log | 74.0 | 296 | 1.2374 |
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+ | No log | 75.0 | 300 | 1.2325 |
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+ | No log | 76.0 | 304 | 1.2169 |
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+ | No log | 77.0 | 308 | 1.2152 |
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+ | No log | 78.0 | 312 | 1.2238 |
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+ | No log | 79.0 | 316 | 1.2258 |
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+ | No log | 80.0 | 320 | 1.2208 |
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+ | No log | 81.0 | 324 | 1.2250 |
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+ | No log | 82.0 | 328 | 1.2251 |
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+ | No log | 83.0 | 332 | 1.2254 |
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+ | No log | 84.0 | 336 | 1.2104 |
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+ | No log | 85.0 | 340 | 1.2003 |
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+ | No log | 86.0 | 344 | 1.2023 |
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+ | No log | 87.0 | 348 | 1.2176 |
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+ | No log | 88.0 | 352 | 1.2245 |
135
+ | No log | 89.0 | 356 | 1.2248 |
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+ | No log | 90.0 | 360 | 1.2203 |
137
+ | No log | 91.0 | 364 | 1.2138 |
138
+ | No log | 92.0 | 368 | 1.2116 |
139
+ | No log | 93.0 | 372 | 1.2097 |
140
+ | No log | 94.0 | 376 | 1.2159 |
141
+ | No log | 95.0 | 380 | 1.2224 |
142
+ | No log | 96.0 | 384 | 1.2220 |
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+ | No log | 97.0 | 388 | 1.2182 |
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+ | No log | 98.0 | 392 | 1.2128 |
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+ | No log | 99.0 | 396 | 1.2107 |
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+ | No log | 100.0 | 400 | 1.2100 |
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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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- 2024-03-05T19:45:44,codecarbon,8d6275bb-730a-419e-939c-4265565951be,369.638986825943,0.05545158236517511,0.00015001551335624226,112.5,983.469,377.88994789123535,0.011551034376025199,0.10622346840337801,0.03872824014621172,0.15650274292561495,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
+ 2024-03-06T13:39:15,codecarbon,e7ce0efc-76fc-4437-ac5e-e6a73e29f25b,366.31281542778015,0.054828438666223354,0.00014967655063390206,112.5,1072.152,377.88994789123535,0.011447098836302757,0.10490885600820554,0.03838807004344049,0.1547440248879488,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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