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--- |
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license: mit |
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base_model: xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BasqueBerta-base-FT |
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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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# BasqueBerta-base-FT |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3019 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 10 |
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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 | 65 | 3.3258 | |
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| No log | 2.0 | 130 | 3.0231 | |
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| No log | 3.0 | 195 | 3.0215 | |
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| No log | 4.0 | 260 | 2.9057 | |
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| No log | 5.0 | 325 | 2.6933 | |
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| No log | 6.0 | 390 | 2.7688 | |
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| No log | 7.0 | 455 | 2.4967 | |
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| 2.917 | 8.0 | 520 | 2.4606 | |
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| 2.917 | 9.0 | 585 | 2.4320 | |
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| 2.917 | 10.0 | 650 | 2.3019 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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