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--- |
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library_name: transformers |
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base_model: somosnlp-hackathon-2022/biomedtra-small-es-squad2-es |
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tags: |
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- classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: clasificador-tweets2 |
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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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# clasificador-tweets2 |
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This model is a fine-tuned version of [somosnlp-hackathon-2022/biomedtra-small-es-squad2-es](https://huggingface.co/somosnlp-hackathon-2022/biomedtra-small-es-squad2-es) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5948 |
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- Accuracy: 0.4894 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 23 | 2.0204 | 0.3404 | |
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| No log | 2.0 | 46 | 1.9668 | 0.3404 | |
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| No log | 3.0 | 69 | 1.9234 | 0.3404 | |
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| No log | 4.0 | 92 | 1.8778 | 0.3404 | |
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| No log | 5.0 | 115 | 1.8512 | 0.3404 | |
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| No log | 6.0 | 138 | 1.8098 | 0.3404 | |
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| No log | 7.0 | 161 | 1.7683 | 0.3617 | |
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| No log | 8.0 | 184 | 1.7476 | 0.3404 | |
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| No log | 9.0 | 207 | 1.6983 | 0.3404 | |
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| No log | 10.0 | 230 | 1.6630 | 0.4043 | |
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| No log | 11.0 | 253 | 1.6474 | 0.4468 | |
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| No log | 12.0 | 276 | 1.6140 | 0.4468 | |
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| No log | 13.0 | 299 | 1.6116 | 0.4468 | |
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| No log | 14.0 | 322 | 1.5956 | 0.4894 | |
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| No log | 15.0 | 345 | 1.5948 | 0.4894 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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