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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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<!-- 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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# RoBERTa-legal-de-cased_German_legal_SQuAD_100 |
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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: 1.3939 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 40 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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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 | |
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| No log | 83.0 | 166 | 1.4186 | |
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| No log | 84.0 | 168 | 1.3839 | |
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| No log | 85.0 | 170 | 1.3633 | |
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| No log | 86.0 | 172 | 1.3686 | |
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| No log | 87.0 | 174 | 1.3873 | |
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| No log | 88.0 | 176 | 1.3998 | |
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| 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 | |
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| 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 | |
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| No log | 99.0 | 198 | 1.3950 | |
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| No log | 100.0 | 200 | 1.3939 | |
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### Framework versions |
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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 |
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