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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlmr-base-texas-squad-da |
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results: [] |
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--- |
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# xlmr-base-texas-squad-da |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the TExAS-SQuAD-da dataset. |
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It achieves the following results on the evaluation set: |
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- Exact match: 63.95% |
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- F1-score: 68.39% |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.6438 | 1.0 | 4183 | 1.4711 | |
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| 1.4079 | 2.0 | 8366 | 1.4356 | |
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| 1.2532 | 3.0 | 12549 | 1.4509 | |
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### Framework versions |
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- Transformers 4.12.2 |
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- Pytorch 1.8.1+cu101 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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