| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: distilbert/distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: comida_no_comida_text_classifier |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # comida_no_comida_text_classifier |
| |
|
| | This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0823 |
| | - Accuracy: 0.9903 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0001 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.5879 | 1.0 | 26 | 0.1729 | 0.9420 | |
| | | 0.1047 | 2.0 | 52 | 0.1249 | 0.9758 | |
| | | 0.042 | 3.0 | 78 | 0.0938 | 0.9807 | |
| | | 0.0022 | 4.0 | 104 | 0.0756 | 0.9903 | |
| | | 0.0086 | 5.0 | 130 | 0.0767 | 0.9903 | |
| | | 0.0005 | 6.0 | 156 | 0.0789 | 0.9903 | |
| | | 0.0004 | 7.0 | 182 | 0.0804 | 0.9903 | |
| | | 0.0003 | 8.0 | 208 | 0.0815 | 0.9903 | |
| | | 0.0003 | 9.0 | 234 | 0.0821 | 0.9903 | |
| | | 0.0003 | 10.0 | 260 | 0.0823 | 0.9903 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.3 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.3.1 |
| | - Tokenizers 0.21.0 |
| |
|
