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--- |
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tags: |
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- generated_from_trainer |
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base_model: dccuchile/bert-base-spanish-wwm-cased |
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metrics: |
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- accuracy |
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model-index: |
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- name: Prototipo_8_EMI |
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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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# Prototipo_8_EMI |
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2365 |
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- Accuracy: 0.7295 |
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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: 3e-05 |
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- train_batch_size: 25 |
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- eval_batch_size: 25 |
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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: cosine |
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- lr_scheduler_warmup_steps: 250 |
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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 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.4573 | 1.5625 | 250 | 0.6276 | 0.7123 | |
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| 0.1406 | 3.125 | 500 | 0.8153 | 0.739 | |
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| 0.0483 | 4.6875 | 750 | 1.2365 | 0.7295 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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