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--- |
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license: apache-2.0 |
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base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis |
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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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- 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: 0.3425 |
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- Accuracy: 0.9355 |
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- F1: 0.9276 |
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- Precision: 0.9253 |
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- Recall: 0.9355 |
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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: 0.0002 |
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- train_batch_size: 30 |
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- eval_batch_size: 10 |
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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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| 0.4095 | 1.0 | 25 | 0.2597 | 0.9355 | 0.9276 | 0.9253 | 0.9355 | |
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| 0.1831 | 2.0 | 50 | 0.3267 | 0.9226 | 0.9024 | 0.9223 | 0.9226 | |
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| 0.138 | 3.0 | 75 | 0.3843 | 0.9290 | 0.9125 | 0.9278 | 0.9290 | |
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| 0.0776 | 4.0 | 100 | 0.3418 | 0.9290 | 0.9240 | 0.9199 | 0.9290 | |
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| 0.0561 | 5.0 | 125 | 0.3425 | 0.9355 | 0.9276 | 0.9253 | 0.9355 | |
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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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