| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| model-index: |
| - name: distilbert_amazon_book_classification |
| 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. --> |
|
|
| # distilbert_amazon_book_classification |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4475 |
| - Accuracy: 0.5871 |
| - F1 Score: 0.5865 |
| - Precision: 0.5967 |
| - Recall: 0.5871 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Precision | Recall | |
| |:-------------:|:------:|:-----:|:---------------:|:--------:|:--------:|:---------:|:------:| |
| | 1.6436 | 0.9999 | 9679 | 1.4688 | 0.5680 | 0.5624 | 0.5822 | 0.5680 | |
| | 1.0845 | 1.9998 | 19358 | 1.4475 | 0.5871 | 0.5865 | 0.5967 | 0.5871 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.45.2 |
| - Pytorch 2.5.1 |
| - Datasets 4.1.1 |
| - Tokenizers 0.20.1 |
|
|
