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---
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library_name: transformers
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license: apache-2.0
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base_model: PlanTL-GOB-ES/roberta-base-bne-sqac
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tags:
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- generated_from_trainer
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datasets:
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- sqac
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model-index:
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- name: Mi-roberta-QA
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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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# Mi-roberta-QA
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2207
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0567 | 1.0 | 940 | 2.4296 |
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| 0.0309 | 2.0 | 1880 | 2.6465 |
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| 0.0198 | 3.0 | 2820 | 2.5772 |
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| 0.0084 | 4.0 | 3760 | 2.9885 |
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| 0.0081 | 5.0 | 4700 | 3.0342 |
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| 0.0028 | 6.0 | 5640 | 3.1098 |
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| 0.0004 | 7.0 | 6580 | 3.1946 |
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| 0.0001 | 8.0 | 7520 | 3.2207 |
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### Framework versions
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- Transformers 4.47.0.dev0
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- Pytorch 2.5.1
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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