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---
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tags:
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- generated_from_trainer
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datasets:
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- becasv2
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model-index:
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- name: roberta-base-spanish-squades-modelo-robertav0
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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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# roberta-base-spanish-squades-modelo-robertav0
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This model is a fine-tuned version of [IIC/roberta-base-spanish-squades](https://huggingface.co/IIC/roberta-base-spanish-squades) on the becasv2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7628
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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: 11
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- eval_batch_size: 11
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 6 | 2.1175 |
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| No log | 2.0 | 12 | 1.7427 |
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| No log | 3.0 | 18 | 2.0810 |
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| No log | 4.0 | 24 | 2.3820 |
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| No log | 5.0 | 30 | 2.5007 |
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| No log | 6.0 | 36 | 2.6782 |
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| No log | 7.0 | 42 | 2.7578 |
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| No log | 8.0 | 48 | 2.7703 |
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| No log | 9.0 | 54 | 2.7654 |
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| No log | 10.0 | 60 | 2.7628 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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