| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: PracticalWork/distilbert-base-uncased-classifier |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: distilbert-base-uncased-classifier-classifier-prompted |
| 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-classifier-prompted |
|
|
| This model is a fine-tuned version of [PracticalWork/distilbert-base-uncased-classifier](https://huggingface.co/PracticalWork/distilbert-base-uncased-classifier) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2938 |
| - Accuracy: 0.8955 |
| - F1: 0.8918 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | 0.9353 | 0.6807 | 0.5592 | |
| | No log | 0.6 | 255 | 0.3035 | 0.8821 | 0.8786 | |
| | 0.2902 | 1.2 | 510 | 0.3121 | 0.8867 | 0.8844 | |
| | 0.2902 | 1.8 | 765 | 0.2690 | 0.9002 | 0.8963 | |
| | 0.1901 | 2.4 | 1020 | 0.2826 | 0.8967 | 0.8921 | |
| | 0.1901 | 3.0 | 1275 | 0.2938 | 0.8955 | 0.8918 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
| |
