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--- |
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license: apache-2.0 |
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base_model: PlanTL-GOB-ES/roberta-base-bne |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- recall |
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- accuracy |
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- precision |
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model-index: |
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- name: roberta-base-fine-tuned-text-classificarion-ds-ss |
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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-fine-tuned-text-classificarion-ds-ss |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0199 |
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- F1: 0.7910 |
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- Recall: 0.7917 |
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- Accuracy: 0.7917 |
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- Precision: 0.7980 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:| |
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| No log | 1.0 | 442 | 1.1329 | 0.6970 | 0.7275 | 0.7275 | 0.6820 | |
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| 1.1901 | 2.0 | 884 | 0.9856 | 0.7354 | 0.7533 | 0.7533 | 0.7315 | |
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| 0.6949 | 3.0 | 1326 | 1.0176 | 0.7507 | 0.7579 | 0.7579 | 0.7689 | |
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| 0.3873 | 4.0 | 1768 | 1.0008 | 0.7769 | 0.7815 | 0.7815 | 0.7854 | |
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| 0.1975 | 5.0 | 2210 | 1.0199 | 0.7910 | 0.7917 | 0.7917 | 0.7980 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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