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--- |
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tags: |
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- text-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: datos-textcat |
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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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# datos-textcat |
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This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the Consejo dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1623 |
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- Accuracy: 0.9676 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 122 | 0.7060 | 0.8333 | |
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| No log | 2.0 | 244 | 0.2884 | 0.9259 | |
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| No log | 3.0 | 366 | 0.2334 | 0.9398 | |
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| No log | 4.0 | 488 | 0.1797 | 0.9583 | |
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| 0.5069 | 5.0 | 610 | 0.1964 | 0.9676 | |
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| 0.5069 | 6.0 | 732 | 0.1686 | 0.9537 | |
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| 0.5069 | 7.0 | 854 | 0.1671 | 0.9722 | |
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| 0.5069 | 8.0 | 976 | 0.1634 | 0.9630 | |
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| 0.034 | 9.0 | 1098 | 0.1693 | 0.9676 | |
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| 0.034 | 10.0 | 1220 | 0.1623 | 0.9676 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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