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README.md
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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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datasets:
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-
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model-index:
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- name: roberta-large-bne-sqac-finetuned-squad
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results: []
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# roberta-large-bne-sqac-finetuned-squad
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-sqac) on the
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.1+cu118
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- Datasets 2.
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- Tokenizers 0.13.3
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---
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license: apache-2.0
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base_model: PlanTL-GOB-ES/roberta-large-bne-sqac
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tags:
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- generated_from_trainer
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datasets:
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- corpusasegurador
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model-index:
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- name: roberta-large-bne-sqac-finetuned-squad
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results: []
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# roberta-large-bne-sqac-finetuned-squad
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-sqac) on the corpusasegurador dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3469
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## Model description
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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: 8
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- eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 3 | 3.6907 |
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| No log | 2.0 | 6 | 2.7403 |
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| No log | 3.0 | 9 | 2.3469 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.0
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- Tokenizers 0.13.3
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