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End of training
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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: BSC-TeMU/roberta-base-bne
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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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- precision
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- recall
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- f1
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model-index:
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- name: roberta-base-bne-finetuned-spanish_sarcastic_texts
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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-spanish_sarcastic_texts
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This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/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: 0.2565
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- Accuracy: 0.9324
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- Precision: 0.9353
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- Recall: 0.8896
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- F1: 0.9118
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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: 2.9498580198388856e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.2195 | 1.0 | 313 | 0.2003 | 0.9255 | 0.9105 | 0.8989 | 0.9047 |
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| 0.0614 | 2.0 | 626 | 0.2565 | 0.9324 | 0.9353 | 0.8896 | 0.9118 |
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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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- Datasets 3.0.1
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- Tokenizers 0.19.1
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runs/Oct07_15-58-28_b7f92b4a7086/events.out.tfevents.1728316716.b7f92b4a7086.1464.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:263c6ce1dfdef39553b836f0b3998ee118be92fd9a0942b066c70841320189b1
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size 8071
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