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--- |
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license: mit |
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base_model: facebook/mbart-large-50 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: mbart-simplificacion |
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results: [] |
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datasets: |
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- crrodrvi/lectura_dificil_facil |
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language: |
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- es |
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pipeline_tag: text2text-generation |
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--- |
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# modelo_simplificacion_bart |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the lectura_dificl_facil dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9828 |
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- Bleu: 9.1817 |
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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: 5.6e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 109 | 3.1239 | 8.7241 | 29.2727 | |
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| No log | 2.0 | 218 | 3.0680 | 7.3130 | 23.9432 | |
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| No log | 3.0 | 327 | 2.9828 | 9.1817 | 28.5000 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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