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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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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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model-index: |
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- name: classificacao_texto_hugging_face |
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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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# classificacao_texto_hugging_face |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3584 |
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- Accuracy: 0.9328 |
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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: 5 |
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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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| 0.2252 | 1.0 | 1563 | 0.2360 | 0.9062 | |
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| 0.1526 | 2.0 | 3126 | 0.2298 | 0.9292 | |
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| 0.0893 | 3.0 | 4689 | 0.2804 | 0.9330 | |
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| 0.0489 | 4.0 | 6252 | 0.3457 | 0.9317 | |
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| 0.0337 | 5.0 | 7815 | 0.3584 | 0.9328 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.2.2 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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