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RoBERTa-legal-de-cased_German_legal_SQuAD_100

Question Answering
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Inference Endpoints
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  1. README.md +154 -0
  2. config.json +27 -0
  3. emissions.csv +2 -0
  4. merges.txt +0 -0
  5. model.safetensors +3 -0
  6. runs/Mar05_20-49-54_hcdsgpu2/events.out.tfevents.1709671800.hcdsgpu2.322801.0 +3 -0
  7. special_tokens_map.json +51 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +57 -0
  10. training_args.bin +3 -0
  11. vocab.json +0 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: RoBERTa-legal-de-cased_German_legal_SQuAD_100
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # RoBERTa-legal-de-cased_German_legal_SQuAD_100
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+
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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: 4.2260
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 3 | 5.9228 |
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+ | No log | 2.0 | 6 | 5.1584 |
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+ | No log | 3.0 | 9 | 4.4722 |
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+ | No log | 4.0 | 12 | 4.3006 |
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+ | No log | 5.0 | 15 | 3.9646 |
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+ | No log | 6.0 | 18 | 3.7561 |
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+ | No log | 7.0 | 21 | 3.7752 |
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+ | No log | 8.0 | 24 | 3.5251 |
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+ | No log | 9.0 | 27 | 3.3693 |
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+ | No log | 10.0 | 30 | 2.7792 |
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+ | No log | 11.0 | 33 | 2.7920 |
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+ | No log | 12.0 | 36 | 2.5177 |
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+ | No log | 13.0 | 39 | 2.8277 |
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+ | No log | 14.0 | 42 | 2.5462 |
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+ | No log | 15.0 | 45 | 2.3764 |
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+ | No log | 16.0 | 48 | 2.7200 |
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+ | No log | 17.0 | 51 | 2.4224 |
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+ | No log | 18.0 | 54 | 2.6360 |
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+ | No log | 19.0 | 57 | 2.5139 |
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+ | No log | 20.0 | 60 | 2.5286 |
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+ | No log | 21.0 | 63 | 2.5525 |
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+ | No log | 22.0 | 66 | 2.5557 |
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+ | No log | 23.0 | 69 | 2.5851 |
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+ | No log | 24.0 | 72 | 2.6613 |
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+ | No log | 25.0 | 75 | 2.4638 |
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+ | No log | 26.0 | 78 | 2.6485 |
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+ | No log | 27.0 | 81 | 2.6063 |
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+ | No log | 28.0 | 84 | 2.7276 |
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+ | No log | 29.0 | 87 | 2.7871 |
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+ | No log | 30.0 | 90 | 2.9418 |
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+ | No log | 31.0 | 93 | 2.8691 |
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+ | No log | 32.0 | 96 | 3.0506 |
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+ | No log | 33.0 | 99 | 2.9157 |
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+ | No log | 34.0 | 102 | 3.1377 |
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+ | No log | 35.0 | 105 | 3.1237 |
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+ | No log | 36.0 | 108 | 3.2247 |
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+ | No log | 37.0 | 111 | 3.3549 |
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+ | No log | 38.0 | 114 | 3.3263 |
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+ | No log | 39.0 | 117 | 3.4797 |
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+ | No log | 40.0 | 120 | 3.4006 |
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+ | No log | 41.0 | 123 | 3.5591 |
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+ | No log | 42.0 | 126 | 3.4942 |
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+ | No log | 43.0 | 129 | 3.7169 |
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+ | No log | 44.0 | 132 | 3.4945 |
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+ | No log | 45.0 | 135 | 3.6505 |
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+ | No log | 46.0 | 138 | 3.8140 |
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+ | No log | 47.0 | 141 | 3.6130 |
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+ | No log | 48.0 | 144 | 3.7540 |
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+ | No log | 49.0 | 147 | 3.8348 |
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+ | No log | 50.0 | 150 | 3.6891 |
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+ | No log | 51.0 | 153 | 4.0070 |
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+ | No log | 52.0 | 156 | 3.6862 |
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+ | No log | 53.0 | 159 | 3.7079 |
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+ | No log | 54.0 | 162 | 3.8575 |
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+ | No log | 55.0 | 165 | 3.8289 |
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+ | No log | 56.0 | 168 | 3.7587 |
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+ | No log | 57.0 | 171 | 3.8340 |
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+ | No log | 58.0 | 174 | 3.9874 |
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+ | No log | 59.0 | 177 | 3.8551 |
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+ | No log | 60.0 | 180 | 3.8965 |
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+ | No log | 61.0 | 183 | 4.0559 |
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+ | No log | 62.0 | 186 | 3.8465 |
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+ | No log | 63.0 | 189 | 3.7458 |
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+ | No log | 64.0 | 192 | 4.0292 |
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+ | No log | 65.0 | 195 | 4.0496 |
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+ | No log | 66.0 | 198 | 4.0003 |
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+ | No log | 67.0 | 201 | 3.8945 |
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+ | No log | 68.0 | 204 | 3.9783 |
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+ | No log | 69.0 | 207 | 4.0237 |
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+ | No log | 70.0 | 210 | 3.9025 |
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+ | No log | 71.0 | 213 | 3.9833 |
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+ | No log | 72.0 | 216 | 4.1072 |
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+ | No log | 73.0 | 219 | 4.0925 |
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+ | No log | 74.0 | 222 | 3.9960 |
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+ | No log | 75.0 | 225 | 4.0591 |
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+ | No log | 76.0 | 228 | 4.2426 |
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+ | No log | 77.0 | 231 | 4.2512 |
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+ | No log | 78.0 | 234 | 3.9990 |
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+ | No log | 79.0 | 237 | 4.0195 |
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+ | No log | 80.0 | 240 | 4.2469 |
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+ | No log | 81.0 | 243 | 4.2971 |
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+ | No log | 82.0 | 246 | 4.1226 |
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+ | No log | 83.0 | 249 | 4.0175 |
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+ | No log | 84.0 | 252 | 4.0675 |
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+ | No log | 85.0 | 255 | 4.3040 |
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+ | No log | 86.0 | 258 | 4.3384 |
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+ | No log | 87.0 | 261 | 4.1458 |
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+ | No log | 88.0 | 264 | 4.0272 |
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+ | No log | 89.0 | 267 | 4.0698 |
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+ | No log | 90.0 | 270 | 4.1462 |
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+ | No log | 91.0 | 273 | 4.2191 |
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+ | No log | 92.0 | 276 | 4.2766 |
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+ | No log | 93.0 | 279 | 4.3133 |
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+ | No log | 94.0 | 282 | 4.3103 |
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+ | No log | 95.0 | 285 | 4.2714 |
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+ | No log | 96.0 | 288 | 4.2322 |
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+ | No log | 97.0 | 291 | 4.2125 |
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+ | No log | 98.0 | 294 | 4.2165 |
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+ | No log | 99.0 | 297 | 4.2257 |
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+ | No log | 100.0 | 300 | 4.2260 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.7
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+ - Tokenizers 0.15.0
config.json ADDED
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+ "RobertaForQuestionAnswering"
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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