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Training complete
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README.md
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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-large-bne
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: roberta-large-pos
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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-large-pos
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0769
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- Precision: 0.9838
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- Recall: 0.9865
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- F1: 0.9852
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- Accuracy: 0.9845
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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: 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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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2146 | 1.0 | 603 | 0.0843 | 0.9781 | 0.9805 | 0.9793 | 0.9786 |
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| 0.0322 | 2.0 | 1206 | 0.0714 | 0.9837 | 0.9849 | 0.9843 | 0.9837 |
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| 0.0147 | 3.0 | 1809 | 0.0769 | 0.9838 | 0.9865 | 0.9852 | 0.9845 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Tokenizers 0.19.1
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model.safetensors
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runs/Oct11_15-24-02_d75f4a12f671/events.out.tfevents.1728660320.d75f4a12f671.734.0
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