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README.md
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---
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bertin-roberta-base-spanish-finetuned-recores
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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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# bertin-roberta-base-spanish-finetuned-recores
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This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2985
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- Accuracy: 0.3581
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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: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.6065 | 1.0 | 1047 | 1.5944 | 0.2948 |
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| 1.4913 | 2.0 | 2094 | 2.4456 | 0.3581 |
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| 0.7893 | 3.0 | 3141 | 3.4247 | 0.3691 |
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| 0.2117 | 4.0 | 4188 | 3.9878 | 0.3526 |
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| 0.0509 | 5.0 | 5235 | 4.2985 | 0.3581 |
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### Framework versions
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- Transformers 4.19.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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