| --- |
| license: mit |
| base_model: flax-community/spanish-t5-small |
| tags: |
| - simplification |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: spanish-t5-small-neutralization |
| 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. --> |
|
|
| # spanish-t5-small-neutralization |
|
|
| This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1364 |
| - Bleu: 85.9727 |
| - Gen Len: 14.6667 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5.6e-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: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | No log | 1.0 | 440 | 0.1866 | 84.2055 | 14.7604 | |
| | 0.3 | 2.0 | 880 | 0.1364 | 85.9727 | 14.6667 | |
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| ### Framework versions |
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|
| - Transformers 4.37.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
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|
