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--- |
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base_model: finiteautomata/beto-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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- precision |
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- recall |
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model-index: |
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- name: beto-sentiment-analysis-finetuned-detests24 |
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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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# beto-sentiment-analysis-finetuned-detests24 |
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This model is a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0647 |
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- Accuracy: 0.8609 |
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- F1-score: 0.7906 |
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- Precision: 0.8107 |
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- Recall: 0.7755 |
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- Auc: 0.7755 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:| |
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| 0.4035 | 1.0 | 153 | 0.3459 | 0.8527 | 0.7540 | 0.8257 | 0.7219 | 0.7219 | |
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| 0.2217 | 2.0 | 306 | 0.4773 | 0.8183 | 0.7700 | 0.7519 | 0.8088 | 0.8088 | |
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| 0.0787 | 3.0 | 459 | 0.6757 | 0.8576 | 0.7959 | 0.7982 | 0.7936 | 0.7936 | |
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| 0.016 | 4.0 | 612 | 0.7801 | 0.8478 | 0.7851 | 0.7830 | 0.7873 | 0.7873 | |
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| 0.0251 | 5.0 | 765 | 0.9783 | 0.8511 | 0.7994 | 0.7862 | 0.8173 | 0.8173 | |
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| 0.0159 | 6.0 | 918 | 0.9841 | 0.8576 | 0.7926 | 0.8001 | 0.7860 | 0.7860 | |
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| 0.0002 | 7.0 | 1071 | 0.9943 | 0.8609 | 0.7906 | 0.8107 | 0.7755 | 0.7755 | |
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| 0.0001 | 8.0 | 1224 | 1.0252 | 0.8625 | 0.7925 | 0.8139 | 0.7765 | 0.7765 | |
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| 0.0013 | 9.0 | 1377 | 1.0663 | 0.8511 | 0.7808 | 0.7916 | 0.7716 | 0.7716 | |
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| 0.0001 | 10.0 | 1530 | 1.0647 | 0.8609 | 0.7906 | 0.8107 | 0.7755 | 0.7755 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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