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--- |
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license: apache-2.0 |
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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: roberta-base-bne-finetuned-recores-long |
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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-bne-finetuned-recores-long |
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2599 |
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- Accuracy: 0.4525 |
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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: 3 |
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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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| 1.5728 | 1.0 | 653 | 1.4938 | 0.3846 | |
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| 0.9036 | 2.0 | 1306 | 1.9815 | 0.4615 | |
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| 0.4161 | 3.0 | 1959 | 2.2599 | 0.4525 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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