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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: xlm-roberta-base-finetuned-clinais |
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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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# xlm-roberta-base-finetuned-clinais |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6468 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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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 | 223 | 1.7818 | |
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| 1.9591 | 2.0 | 446 | 1.6896 | |
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| 1.9591 | 3.0 | 669 | 1.6195 | |
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| 1.7055 | 4.0 | 892 | 1.5804 | |
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| 1.7055 | 5.0 | 1115 | 1.6104 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.0 |
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- Datasets 2.8.0 |
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- Tokenizers 0.12.1 |
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