| --- |
| base_model: dccuchile/bert-base-spanish-wwm-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: BETo-t-MMG |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # BETo-t-MMG |
|
|
| This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4422 |
| - Accuracy: 0.8030 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 34 | 0.4422 | 0.8030 | |
| | No log | 2.0 | 68 | 0.5717 | 0.8636 | |
| | No log | 3.0 | 102 | 0.8172 | 0.8636 | |
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| ### Framework versions |
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| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.14.0 |
| - Tokenizers 0.13.3 |
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