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farid1088
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RoBERTa-legal-de-cased_German_legal_SQuAD_100

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roberta
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Files changed (5) hide show
  1. README.md +103 -103
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar08_00-26-23_hcdsgpu1/events.out.tfevents.1709857588.hcdsgpu1.1649328.0 +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: 1.1554
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  ## Model description
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@@ -33,8 +33,8 @@ 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: 128
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- - eval_batch_size: 32
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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
@@ -44,106 +44,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
46
  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 3 | 6.3212 |
48
- | No log | 2.0 | 6 | 6.2478 |
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- | No log | 3.0 | 9 | 6.0992 |
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- | No log | 4.0 | 12 | 5.8910 |
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- | No log | 5.0 | 15 | 5.3419 |
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- | No log | 6.0 | 18 | 5.2077 |
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- | No log | 7.0 | 21 | 5.0437 |
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- | No log | 8.0 | 24 | 4.8946 |
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- | No log | 9.0 | 27 | 4.7876 |
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- | No log | 10.0 | 30 | 4.4466 |
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- | No log | 11.0 | 33 | 4.2105 |
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- | No log | 12.0 | 36 | 3.8482 |
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- | No log | 13.0 | 39 | 3.6657 |
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- | No log | 14.0 | 42 | 3.5262 |
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- | No log | 15.0 | 45 | 3.4486 |
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- | No log | 16.0 | 48 | 3.2999 |
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- | No log | 17.0 | 51 | 3.2247 |
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- | No log | 18.0 | 54 | 3.1381 |
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- | No log | 19.0 | 57 | 2.9505 |
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- | No log | 20.0 | 60 | 2.9027 |
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- | No log | 21.0 | 63 | 2.8186 |
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- | No log | 22.0 | 66 | 2.8264 |
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- | No log | 23.0 | 69 | 2.6828 |
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- | No log | 24.0 | 72 | 2.6195 |
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- | No log | 25.0 | 75 | 2.4215 |
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- | No log | 26.0 | 78 | 2.3506 |
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- | No log | 27.0 | 81 | 2.4491 |
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- | No log | 28.0 | 84 | 2.2961 |
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- | No log | 29.0 | 87 | 2.2478 |
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- | No log | 30.0 | 90 | 2.2342 |
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- | No log | 31.0 | 93 | 2.1921 |
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- | No log | 32.0 | 96 | 2.1144 |
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- | No log | 33.0 | 99 | 1.8770 |
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- | No log | 34.0 | 102 | 2.0223 |
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- | No log | 35.0 | 105 | 1.9032 |
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- | No log | 36.0 | 108 | 1.8026 |
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- | No log | 37.0 | 111 | 1.8888 |
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- | No log | 38.0 | 114 | 1.7613 |
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- | No log | 39.0 | 117 | 1.7523 |
86
- | No log | 40.0 | 120 | 1.6841 |
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- | No log | 41.0 | 123 | 1.6183 |
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- | No log | 42.0 | 126 | 1.6989 |
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- | No log | 43.0 | 129 | 1.5156 |
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- | No log | 44.0 | 132 | 1.6684 |
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- | No log | 45.0 | 135 | 1.6410 |
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- | No log | 46.0 | 138 | 1.3884 |
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- | No log | 47.0 | 141 | 1.4724 |
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- | No log | 48.0 | 144 | 1.4343 |
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- | No log | 49.0 | 147 | 1.3841 |
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- | No log | 50.0 | 150 | 1.2559 |
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- | No log | 51.0 | 153 | 1.3226 |
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- | No log | 52.0 | 156 | 1.4074 |
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- | No log | 53.0 | 159 | 1.3355 |
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- | No log | 54.0 | 162 | 1.3603 |
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- | No log | 55.0 | 165 | 1.3612 |
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- | No log | 56.0 | 168 | 1.3112 |
103
- | No log | 57.0 | 171 | 1.3595 |
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- | No log | 58.0 | 174 | 1.3395 |
105
- | No log | 59.0 | 177 | 1.2835 |
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- | No log | 60.0 | 180 | 1.3380 |
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- | No log | 61.0 | 183 | 1.3221 |
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- | No log | 62.0 | 186 | 1.2596 |
109
- | No log | 63.0 | 189 | 1.2257 |
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- | No log | 64.0 | 192 | 1.2678 |
111
- | No log | 65.0 | 195 | 1.2746 |
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- | No log | 66.0 | 198 | 1.2055 |
113
- | No log | 67.0 | 201 | 1.1874 |
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- | No log | 68.0 | 204 | 1.2531 |
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- | No log | 69.0 | 207 | 1.2856 |
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- | No log | 70.0 | 210 | 1.2025 |
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- | No log | 71.0 | 213 | 1.1595 |
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- | No log | 72.0 | 216 | 1.2038 |
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- | No log | 73.0 | 219 | 1.2413 |
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- | No log | 74.0 | 222 | 1.2031 |
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- | No log | 75.0 | 225 | 1.1367 |
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- | No log | 76.0 | 228 | 1.1172 |
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- | No log | 77.0 | 231 | 1.1705 |
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- | No log | 78.0 | 234 | 1.2407 |
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- | No log | 79.0 | 237 | 1.2265 |
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- | No log | 80.0 | 240 | 1.1681 |
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- | No log | 81.0 | 243 | 1.1485 |
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- | No log | 82.0 | 246 | 1.1626 |
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- | No log | 83.0 | 249 | 1.1758 |
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- | No log | 84.0 | 252 | 1.1984 |
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- | No log | 85.0 | 255 | 1.2050 |
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- | No log | 86.0 | 258 | 1.1858 |
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- | No log | 87.0 | 261 | 1.1767 |
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- | No log | 88.0 | 264 | 1.1605 |
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- | No log | 89.0 | 267 | 1.1615 |
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- | No log | 90.0 | 270 | 1.1741 |
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- | No log | 91.0 | 273 | 1.1772 |
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- | No log | 92.0 | 276 | 1.1721 |
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- | No log | 93.0 | 279 | 1.1670 |
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- | No log | 94.0 | 282 | 1.1610 |
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- | No log | 95.0 | 285 | 1.1554 |
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- | No log | 96.0 | 288 | 1.1532 |
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- | No log | 97.0 | 291 | 1.1576 |
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- | No log | 98.0 | 294 | 1.1576 |
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- | No log | 99.0 | 297 | 1.1564 |
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- | No log | 100.0 | 300 | 1.1554 |
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148
 
149
  ### 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: 1.3939
17
 
18
  ## Model description
19
 
 
33
 
34
  The following hyperparameters were used during training:
35
  - learning_rate: 2e-05
36
+ - train_batch_size: 160
37
+ - eval_batch_size: 40
38
  - seed: 42
39
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
  - lr_scheduler_type: linear
 
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45
  | Training Loss | Epoch | Step | Validation Loss |
46
  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 2 | 6.2702 |
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+ | No log | 2.0 | 4 | 6.2057 |
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+ | No log | 3.0 | 6 | 6.0590 |
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+ | No log | 4.0 | 8 | 5.8979 |
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+ | No log | 5.0 | 10 | 5.4639 |
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+ | No log | 6.0 | 12 | 5.3637 |
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+ | No log | 7.0 | 14 | 5.1792 |
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+ | No log | 8.0 | 16 | 4.9258 |
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+ | No log | 9.0 | 18 | 4.7628 |
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+ | No log | 10.0 | 20 | 4.5534 |
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+ | No log | 11.0 | 22 | 4.3370 |
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+ | No log | 12.0 | 24 | 4.1347 |
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+ | No log | 13.0 | 26 | 3.9543 |
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+ | No log | 14.0 | 28 | 3.7819 |
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+ | No log | 15.0 | 30 | 3.6555 |
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+ | No log | 16.0 | 32 | 3.5673 |
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+ | No log | 17.0 | 34 | 3.4768 |
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+ | No log | 18.0 | 36 | 3.3835 |
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+ | No log | 19.0 | 38 | 3.3112 |
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+ | No log | 20.0 | 40 | 3.2279 |
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+ | No log | 21.0 | 42 | 3.1581 |
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+ | No log | 22.0 | 44 | 3.0989 |
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+ | No log | 23.0 | 46 | 3.0178 |
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+ | No log | 24.0 | 48 | 2.9702 |
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+ | No log | 25.0 | 50 | 2.9084 |
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+ | No log | 26.0 | 52 | 2.8226 |
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+ | No log | 27.0 | 54 | 2.8405 |
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+ | No log | 28.0 | 56 | 2.8029 |
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+ | No log | 29.0 | 58 | 2.6979 |
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+ | No log | 30.0 | 60 | 2.7140 |
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+ | No log | 31.0 | 62 | 2.6985 |
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+ | No log | 32.0 | 64 | 2.6223 |
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+ | No log | 33.0 | 66 | 2.6349 |
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+ | No log | 34.0 | 68 | 2.5541 |
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+ | No log | 35.0 | 70 | 2.4758 |
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+ | No log | 36.0 | 72 | 2.4601 |
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+ | No log | 37.0 | 74 | 2.4836 |
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+ | No log | 38.0 | 76 | 2.3613 |
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+ | No log | 39.0 | 78 | 2.2917 |
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+ | No log | 40.0 | 80 | 2.3154 |
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+ | No log | 41.0 | 82 | 2.2682 |
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+ | No log | 42.0 | 84 | 2.2784 |
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+ | No log | 43.0 | 86 | 2.2534 |
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+ | No log | 44.0 | 88 | 2.1457 |
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+ | No log | 45.0 | 90 | 2.1808 |
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+ | No log | 46.0 | 92 | 2.2528 |
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+ | No log | 47.0 | 94 | 2.1585 |
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+ | No log | 48.0 | 96 | 2.0309 |
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+ | No log | 49.0 | 98 | 2.0622 |
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+ | No log | 50.0 | 100 | 2.0533 |
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+ | No log | 51.0 | 102 | 1.9610 |
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+ | No log | 52.0 | 104 | 1.9597 |
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+ | No log | 53.0 | 106 | 1.8926 |
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+ | No log | 54.0 | 108 | 1.8149 |
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+ | No log | 55.0 | 110 | 1.7849 |
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+ | No log | 56.0 | 112 | 1.8135 |
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+ | No log | 57.0 | 114 | 1.8190 |
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+ | No log | 58.0 | 116 | 1.8126 |
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+ | No log | 59.0 | 118 | 1.8007 |
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+ | No log | 60.0 | 120 | 1.7200 |
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+ | No log | 61.0 | 122 | 1.6408 |
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+ | No log | 62.0 | 124 | 1.6524 |
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+ | No log | 63.0 | 126 | 1.6697 |
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+ | No log | 64.0 | 128 | 1.6660 |
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+ | No log | 65.0 | 130 | 1.5907 |
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+ | No log | 66.0 | 132 | 1.5765 |
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+ | No log | 67.0 | 134 | 1.5575 |
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+ | No log | 68.0 | 136 | 1.5455 |
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+ | No log | 69.0 | 138 | 1.5267 |
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+ | No log | 70.0 | 140 | 1.4875 |
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+ | No log | 71.0 | 142 | 1.4474 |
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+ | No log | 72.0 | 144 | 1.4436 |
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+ | No log | 73.0 | 146 | 1.4609 |
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+ | No log | 74.0 | 148 | 1.4983 |
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+ | No log | 75.0 | 150 | 1.4903 |
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+ | No log | 76.0 | 152 | 1.4506 |
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+ | No log | 77.0 | 154 | 1.3982 |
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+ | No log | 78.0 | 156 | 1.3735 |
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+ | No log | 79.0 | 158 | 1.3670 |
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+ | No log | 80.0 | 160 | 1.3977 |
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+ | No log | 81.0 | 162 | 1.4478 |
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+ | No log | 82.0 | 164 | 1.4565 |
129
+ | No log | 83.0 | 166 | 1.4186 |
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+ | No log | 84.0 | 168 | 1.3839 |
131
+ | No log | 85.0 | 170 | 1.3633 |
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+ | No log | 86.0 | 172 | 1.3686 |
133
+ | No log | 87.0 | 174 | 1.3873 |
134
+ | No log | 88.0 | 176 | 1.3998 |
135
+ | No log | 89.0 | 178 | 1.4084 |
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+ | No log | 90.0 | 180 | 1.4076 |
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+ | No log | 91.0 | 182 | 1.3899 |
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+ | No log | 92.0 | 184 | 1.3820 |
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+ | No log | 93.0 | 186 | 1.3821 |
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+ | No log | 94.0 | 188 | 1.3837 |
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+ | No log | 95.0 | 190 | 1.3902 |
142
+ | No log | 96.0 | 192 | 1.3930 |
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+ | No log | 97.0 | 194 | 1.3938 |
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+ | No log | 98.0 | 196 | 1.3954 |
145
+ | No log | 99.0 | 198 | 1.3950 |
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+ | No log | 100.0 | 200 | 1.3939 |
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  ### Framework versions
emissions.csv CHANGED
@@ -1,2 +1,2 @@
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
- 2024-03-06T14:47:27,codecarbon,203d5bf2-8478-4a7d-9ad4-932423a6d133,257.93742084503174,0.03867244058515499,0.00014992954670345918,112.5,1055.42,377.88994789123535,0.00806042391806841,0.07405592252637505,0.027030097517192552,0.10914644396163602,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
+ 2024-03-08T00:32:01,codecarbon,8ca1047f-8de9-4023-a6d1-f2f479f10651,332.59366822242737,0.04675939213228317,0.0001405901452730365,112.5,663.615,377.8920922279358,0.010393424771726131,0.08674531464858531,0.03483176194508492,0.13197050136539643,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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