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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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base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: my-model-SaBERT-Sentimento |
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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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# my-model-SaBERT-Sentimento |
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This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0937 |
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- Accuracy: 0.9742 |
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- F1: 0.9091 |
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- Precision: 0.9524 |
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- Recall: 0.8696 |
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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: 5e-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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.2992 | 1.0 | 91 | 0.1026 | 0.9484 | 0.7895 | 1.0 | 0.6522 | |
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| 0.1379 | 2.0 | 182 | 0.1494 | 0.9548 | 0.8293 | 0.9444 | 0.7391 | |
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| 0.0415 | 3.0 | 273 | 0.0744 | 0.9742 | 0.9091 | 0.9524 | 0.8696 | |
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| 0.0249 | 4.0 | 364 | 0.0761 | 0.9742 | 0.9091 | 0.9524 | 0.8696 | |
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| 0.0173 | 5.0 | 455 | 0.0937 | 0.9742 | 0.9091 | 0.9524 | 0.8696 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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