| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert/distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: distilbert-base-uncased-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. --> |
|
|
| # distilbert-base-uncased-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: 0.3165 |
| - Accuracy: 0.8809 |
| - F1: 0.7916 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - 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: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
| | No log | 0 | 0 | 0.6991 | 0.3573 | 0.4668 | |
| | No log | 0.6006 | 188 | 0.3642 | 0.8505 | 0.7246 | |
| | No log | 1.2013 | 376 | 0.3155 | 0.8761 | 0.7717 | |
| | 0.3491 | 1.8019 | 564 | 0.3068 | 0.8833 | 0.7972 | |
| | 0.3491 | 2.4026 | 752 | 0.3198 | 0.8833 | 0.8016 | |
| | 0.3491 | 3 | 939 | 0.3165 | 0.8809 | 0.7916 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.53.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.2 |
|
|
