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qa_bert

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  1. README.md +103 -23
  2. emissions.csv +2 -1
  3. model.safetensors +1 -1
  4. runs/Mar02_13-50-23_hcdsgpu1/events.out.tfevents.1709387429.hcdsgpu1.244243.0 +3 -0
  5. runs/Mar02_13-51-14_hcdsgpu1/events.out.tfevents.1709387480.hcdsgpu1.244815.0 +3 -0
  6. runs/Mar02_13-53-04_hcdsgpu1/events.out.tfevents.1709387590.hcdsgpu1.246151.0 +3 -0
  7. runs/Mar02_13-53-55_hcdsgpu1/events.out.tfevents.1709387640.hcdsgpu1.246727.0 +3 -0
  8. runs/Mar02_13-54-45_hcdsgpu1/events.out.tfevents.1709387691.hcdsgpu1.247266.0 +3 -0
  9. runs/Mar02_13-56-39_hcdsgpu1/events.out.tfevents.1709387805.hcdsgpu1.249311.0 +3 -0
  10. 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: 4.5051
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  ## Model description
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@@ -33,37 +33,117 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 160
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  - eval_batch_size: 5
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  - seed: 42
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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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- - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 1 | 6.0874 |
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- | No log | 2.0 | 2 | 5.9063 |
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- | No log | 3.0 | 3 | 5.7224 |
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- | No log | 4.0 | 4 | 5.5453 |
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- | No log | 5.0 | 5 | 5.3798 |
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- | No log | 6.0 | 6 | 5.2311 |
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- | No log | 7.0 | 7 | 5.1051 |
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- | No log | 8.0 | 8 | 4.9980 |
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- | No log | 9.0 | 9 | 4.9069 |
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- | No log | 10.0 | 10 | 4.8298 |
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- | No log | 11.0 | 11 | 4.7628 |
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- | No log | 12.0 | 12 | 4.7047 |
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- | No log | 13.0 | 13 | 4.6565 |
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- | No log | 14.0 | 14 | 4.6156 |
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- | No log | 15.0 | 15 | 4.5825 |
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- | No log | 16.0 | 16 | 4.5555 |
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- | No log | 17.0 | 17 | 4.5345 |
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- | No log | 18.0 | 18 | 4.5195 |
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- | No log | 19.0 | 19 | 4.5101 |
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- | No log | 20.0 | 20 | 4.5051 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### 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:
16
+ - Loss: 7.9805
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18
  ## Model description
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33
 
34
  The following hyperparameters were used during training:
35
  - learning_rate: 2e-05
36
+ - train_batch_size: 40
37
  - eval_batch_size: 5
38
  - seed: 42
39
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 4 | 5.8011 |
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+ | No log | 2.0 | 8 | 5.2671 |
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+ | No log | 3.0 | 12 | 4.8027 |
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+ | No log | 4.0 | 16 | 4.5480 |
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+ | No log | 5.0 | 20 | 4.3840 |
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+ | No log | 6.0 | 24 | 4.2425 |
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+ | No log | 7.0 | 28 | 4.1638 |
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+ | No log | 8.0 | 32 | 4.1742 |
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+ | No log | 9.0 | 36 | 4.2216 |
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+ | No log | 10.0 | 40 | 4.2434 |
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+ | No log | 11.0 | 44 | 4.3111 |
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+ | No log | 12.0 | 48 | 4.3285 |
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+ | No log | 13.0 | 52 | 4.2938 |
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+ | No log | 14.0 | 56 | 4.4777 |
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+ | No log | 15.0 | 60 | 4.6559 |
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+ | No log | 16.0 | 64 | 4.7413 |
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+ | No log | 17.0 | 68 | 5.0906 |
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+ | No log | 18.0 | 72 | 5.3498 |
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+ | No log | 19.0 | 76 | 5.5660 |
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+ | No log | 20.0 | 80 | 5.7425 |
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+ | No log | 21.0 | 84 | 5.9226 |
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+ | No log | 22.0 | 88 | 5.9886 |
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+ | No log | 23.0 | 92 | 6.3013 |
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+ | No log | 24.0 | 96 | 6.5442 |
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+ | No log | 25.0 | 100 | 6.5857 |
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+ | No log | 26.0 | 104 | 6.5644 |
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+ | No log | 27.0 | 108 | 6.4179 |
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+ | No log | 28.0 | 112 | 6.6880 |
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+ | No log | 29.0 | 116 | 6.9001 |
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+ | No log | 30.0 | 120 | 7.2112 |
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+ | No log | 31.0 | 124 | 7.2136 |
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+ | No log | 32.0 | 128 | 6.9590 |
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+ | No log | 33.0 | 132 | 6.7990 |
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+ | No log | 34.0 | 136 | 6.8648 |
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+ | No log | 35.0 | 140 | 7.3356 |
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+ | No log | 36.0 | 144 | 7.3040 |
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+ | No log | 37.0 | 148 | 7.5159 |
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+ | No log | 38.0 | 152 | 7.4414 |
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+ | No log | 39.0 | 156 | 7.1221 |
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+ | No log | 40.0 | 160 | 7.2625 |
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+ | No log | 41.0 | 164 | 7.1800 |
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+ | No log | 42.0 | 168 | 7.2622 |
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+ | No log | 43.0 | 172 | 7.5525 |
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+ | No log | 44.0 | 176 | 7.1667 |
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+ | No log | 45.0 | 180 | 7.4432 |
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+ | No log | 46.0 | 184 | 7.5821 |
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+ | No log | 47.0 | 188 | 7.2621 |
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+ | No log | 48.0 | 192 | 7.3933 |
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+ | No log | 49.0 | 196 | 7.7538 |
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+ | No log | 50.0 | 200 | 7.5577 |
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+ | No log | 51.0 | 204 | 7.3560 |
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+ | No log | 52.0 | 208 | 7.6544 |
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+ | No log | 53.0 | 212 | 7.6897 |
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+ | No log | 54.0 | 216 | 7.7122 |
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+ | No log | 55.0 | 220 | 7.7182 |
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+ | No log | 56.0 | 224 | 7.6918 |
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+ | No log | 57.0 | 228 | 7.7185 |
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+ | No log | 58.0 | 232 | 7.8951 |
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+ | No log | 59.0 | 236 | 7.9952 |
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+ | No log | 60.0 | 240 | 7.5184 |
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+ | No log | 61.0 | 244 | 7.4233 |
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+ | No log | 62.0 | 248 | 8.1817 |
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+ | No log | 63.0 | 252 | 8.2859 |
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+ | No log | 64.0 | 256 | 7.7424 |
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+ | No log | 65.0 | 260 | 7.4856 |
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+ | No log | 66.0 | 264 | 7.7620 |
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+ | No log | 67.0 | 268 | 7.7103 |
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+ | No log | 68.0 | 272 | 7.5033 |
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+ | No log | 69.0 | 276 | 7.4370 |
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+ | No log | 70.0 | 280 | 7.6876 |
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+ | No log | 71.0 | 284 | 8.0552 |
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+ | No log | 72.0 | 288 | 8.2678 |
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+ | No log | 73.0 | 292 | 8.4860 |
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+ | No log | 74.0 | 296 | 8.3663 |
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+ | No log | 75.0 | 300 | 8.0555 |
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+ | No log | 76.0 | 304 | 7.9140 |
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+ | No log | 77.0 | 308 | 7.8636 |
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+ | No log | 78.0 | 312 | 7.9158 |
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+ | No log | 79.0 | 316 | 7.9719 |
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+ | No log | 80.0 | 320 | 8.0312 |
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+ | No log | 81.0 | 324 | 8.0859 |
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+ | No log | 82.0 | 328 | 8.1367 |
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+ | No log | 83.0 | 332 | 8.0223 |
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+ | No log | 84.0 | 336 | 7.8912 |
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+ | No log | 85.0 | 340 | 7.7869 |
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+ | No log | 86.0 | 344 | 7.8381 |
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+ | No log | 87.0 | 348 | 8.0805 |
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+ | No log | 88.0 | 352 | 8.2128 |
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+ | No log | 89.0 | 356 | 8.2838 |
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+ | No log | 90.0 | 360 | 8.3087 |
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+ | No log | 91.0 | 364 | 8.2489 |
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+ | No log | 92.0 | 368 | 8.1902 |
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+ | No log | 93.0 | 372 | 8.1115 |
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+ | No log | 94.0 | 376 | 8.0415 |
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+ | No log | 95.0 | 380 | 7.9879 |
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+ | No log | 96.0 | 384 | 7.9714 |
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+ | No log | 97.0 | 388 | 7.9652 |
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+ | No log | 98.0 | 392 | 7.9692 |
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+ | No log | 99.0 | 396 | 7.9757 |
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+ | No log | 100.0 | 400 | 7.9805 |
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  ### Framework versions
emissions.csv CHANGED
@@ -1,2 +1,3 @@
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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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+ 2024-03-02T13:45:22,codecarbon,796a8fb7-210e-4b44-b74e-2d62a00c4530,51.12793207168579,0.0061708646040241,0.0001206945861876,112.5,488.164,377.8920922279358,0.001597713060677,0.0104633033522523,0.0053552086172672,0.0174162250301965,Germany,DEU,free and hanseatic city of hamburg,,,Linux-5.15.0-97-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,5,4 x NVIDIA A401 x NVIDIA A100 80GB PCIe,9.9683,53.5649,1007.712245941162,machine,N,1.0
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