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farid1088
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qa_bert

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bert
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  1. README.md +5 -128
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar01_18-37-12_hcdsgpu1/events.out.tfevents.1709318238.hcdsgpu1.15323.0 +3 -0
  5. tokenizer.json +2 -2
  6. 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: 5.1383
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  ## Model description
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@@ -33,142 +33,19 @@ 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: 125
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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 | 3 | 4.9232 |
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- | No log | 2.0 | 6 | 4.1197 |
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- | No log | 3.0 | 9 | 3.8483 |
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- | No log | 4.0 | 12 | 3.6987 |
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- | No log | 5.0 | 15 | 3.5750 |
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- | No log | 6.0 | 18 | 3.4070 |
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- | No log | 7.0 | 21 | 3.2776 |
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- | No log | 8.0 | 24 | 3.0942 |
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- | No log | 9.0 | 27 | 3.1022 |
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- | No log | 10.0 | 30 | 2.9600 |
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- | No log | 11.0 | 33 | 2.9097 |
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- | No log | 12.0 | 36 | 2.9859 |
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- | No log | 13.0 | 39 | 2.9022 |
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- | No log | 14.0 | 42 | 2.8243 |
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- | No log | 15.0 | 45 | 2.8703 |
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- | No log | 16.0 | 48 | 2.8149 |
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- | No log | 17.0 | 51 | 2.8331 |
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- | No log | 18.0 | 54 | 2.8070 |
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- | No log | 19.0 | 57 | 2.8048 |
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- | No log | 20.0 | 60 | 2.8270 |
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- | No log | 21.0 | 63 | 2.9987 |
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- | No log | 22.0 | 66 | 2.9712 |
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- | No log | 23.0 | 69 | 3.1234 |
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- | No log | 24.0 | 72 | 3.1407 |
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- | No log | 25.0 | 75 | 3.1710 |
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- | No log | 26.0 | 78 | 3.1772 |
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- | No log | 27.0 | 81 | 3.1857 |
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- | No log | 28.0 | 84 | 3.3191 |
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- | No log | 29.0 | 87 | 3.4009 |
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- | No log | 30.0 | 90 | 3.4455 |
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- | No log | 31.0 | 93 | 3.5063 |
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- | No log | 32.0 | 96 | 3.7852 |
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- | No log | 33.0 | 99 | 3.6920 |
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- | No log | 34.0 | 102 | 4.0233 |
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- | No log | 35.0 | 105 | 3.7658 |
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- | No log | 36.0 | 108 | 4.3437 |
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- | No log | 37.0 | 111 | 3.8067 |
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- | No log | 38.0 | 114 | 4.0075 |
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- | No log | 39.0 | 117 | 4.5950 |
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- | No log | 40.0 | 120 | 3.7529 |
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- | No log | 41.0 | 123 | 4.0791 |
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- | No log | 42.0 | 126 | 4.3457 |
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- | No log | 43.0 | 129 | 3.8320 |
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- | No log | 44.0 | 132 | 4.3641 |
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- | No log | 45.0 | 135 | 4.1074 |
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- | No log | 46.0 | 138 | 4.1761 |
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- | No log | 47.0 | 141 | 4.2635 |
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- | No log | 48.0 | 144 | 3.9473 |
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- | No log | 49.0 | 147 | 4.2929 |
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- | No log | 50.0 | 150 | 4.4770 |
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- | No log | 51.0 | 153 | 4.4377 |
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- | No log | 52.0 | 156 | 4.5129 |
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- | No log | 53.0 | 159 | 4.5801 |
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- | No log | 54.0 | 162 | 4.5961 |
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- | No log | 55.0 | 165 | 4.1888 |
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- | No log | 56.0 | 168 | 4.6161 |
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- | No log | 57.0 | 171 | 4.1996 |
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- | No log | 58.0 | 174 | 4.2706 |
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- | No log | 59.0 | 177 | 4.6947 |
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- | No log | 60.0 | 180 | 4.3150 |
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- | No log | 61.0 | 183 | 4.4601 |
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- | No log | 62.0 | 186 | 4.4930 |
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- | No log | 63.0 | 189 | 4.4780 |
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- | No log | 64.0 | 192 | 4.7156 |
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- | No log | 65.0 | 195 | 4.6897 |
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- | No log | 66.0 | 198 | 4.5418 |
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- | No log | 67.0 | 201 | 4.7971 |
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- | No log | 68.0 | 204 | 4.7600 |
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- | No log | 69.0 | 207 | 4.6588 |
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- | No log | 70.0 | 210 | 4.9365 |
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- | No log | 71.0 | 213 | 5.1080 |
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- | No log | 72.0 | 216 | 4.4093 |
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- | No log | 73.0 | 219 | 4.5619 |
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- | No log | 74.0 | 222 | 4.9724 |
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- | No log | 75.0 | 225 | 4.4708 |
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- | No log | 76.0 | 228 | 4.6417 |
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- | No log | 77.0 | 231 | 5.1946 |
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- | No log | 78.0 | 234 | 5.2715 |
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- | No log | 79.0 | 237 | 4.6766 |
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- | No log | 80.0 | 240 | 4.3852 |
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- | No log | 81.0 | 243 | 4.9917 |
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- | No log | 82.0 | 246 | 5.1645 |
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- | No log | 83.0 | 249 | 4.7449 |
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- | No log | 84.0 | 252 | 4.7876 |
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- | No log | 85.0 | 255 | 5.1266 |
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- | No log | 86.0 | 258 | 5.1761 |
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- | No log | 87.0 | 261 | 4.6792 |
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- | No log | 88.0 | 264 | 4.9392 |
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- | No log | 89.0 | 267 | 5.3338 |
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- | No log | 90.0 | 270 | 5.1273 |
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- | No log | 91.0 | 273 | 4.9588 |
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- | No log | 92.0 | 276 | 5.1190 |
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- | No log | 93.0 | 279 | 5.3533 |
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- | No log | 94.0 | 282 | 5.1156 |
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- | No log | 95.0 | 285 | 4.6727 |
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- | No log | 96.0 | 288 | 4.6332 |
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- | No log | 97.0 | 291 | 4.9905 |
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- | No log | 98.0 | 294 | 5.1634 |
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- | No log | 99.0 | 297 | 5.0200 |
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- | No log | 100.0 | 300 | 4.9515 |
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- | No log | 101.0 | 303 | 4.7999 |
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- | No log | 102.0 | 306 | 4.7181 |
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- | No log | 103.0 | 309 | 4.8996 |
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- | No log | 104.0 | 312 | 5.1351 |
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- | No log | 105.0 | 315 | 5.0252 |
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- | No log | 106.0 | 318 | 4.7854 |
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- | No log | 107.0 | 321 | 4.6124 |
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- | No log | 108.0 | 324 | 4.6964 |
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- | No log | 109.0 | 327 | 4.9997 |
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- | No log | 110.0 | 330 | 5.1337 |
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- | No log | 111.0 | 333 | 5.1670 |
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- | No log | 112.0 | 336 | 5.0639 |
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- | No log | 113.0 | 339 | 4.9686 |
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- | No log | 114.0 | 342 | 4.9184 |
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- | No log | 115.0 | 345 | 4.8824 |
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- | No log | 116.0 | 348 | 4.9152 |
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- | No log | 117.0 | 351 | 4.9099 |
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- | No log | 118.0 | 354 | 4.9253 |
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- | No log | 119.0 | 357 | 4.9845 |
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- | No log | 120.0 | 360 | 5.0543 |
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- | No log | 121.0 | 363 | 5.1111 |
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- | No log | 122.0 | 366 | 5.1290 |
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- | No log | 123.0 | 369 | 5.1419 |
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- | No log | 124.0 | 372 | 5.1414 |
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- | No log | 125.0 | 375 | 5.1383 |
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  ### Framework versions
 
13
 
14
  This model was trained from scratch on the None dataset.
15
  It achieves the following results on the evaluation set:
16
+ - Loss: 3.0288
17
 
18
  ## Model description
19
 
 
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
40
  - lr_scheduler_type: linear
41
+ - num_epochs: 2
42
 
43
  ### Training results
44
 
45
  | Training Loss | Epoch | Step | Validation Loss |
46
  |:-------------:|:-----:|:----:|:---------------:|
47
+ | No log | 1.0 | 9 | 3.1963 |
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+ | No log | 2.0 | 18 | 3.0288 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
emissions.csv CHANGED
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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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+ 2024-03-01T18:37:37,codecarbon,54aa31de-a3ec-4495-b927-7285bbd313a9,19.324065923690796,0.0018809606630507847,9.733772749888917e-05,112.5,413.41700000000003,377.8920922279358,0.0006038699597120285,0.0026826128441476823,0.0020222115660146803,0.005308694369874392,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,9.9683,53.5649,1007.7122459411621,machine,N,1.0
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tokenizer.json CHANGED
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