| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert/distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: defect-classification-distilbert-baseline-20-epochs |
| 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. --> |
|
|
| # defect-classification-distilbert-baseline-20-epochs |
|
|
| 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: 0.2853 |
| - Accuracy: 0.8811 |
|
|
| ## 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: 512 |
| - eval_batch_size: 512 |
| - seed: 42 |
| - optimizer: Use 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: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.6293 | 1.0 | 1062 | 0.5118 | 0.7980 | |
| | 0.5347 | 2.0 | 2124 | 0.3975 | 0.8323 | |
| | 0.4369 | 3.0 | 3186 | 0.3575 | 0.8526 | |
| | 0.4335 | 4.0 | 4248 | 0.3329 | 0.8627 | |
| | 0.4325 | 5.0 | 5310 | 0.3173 | 0.8693 | |
| | 0.4259 | 6.0 | 6372 | 0.3058 | 0.8763 | |
| | 0.35 | 7.0 | 7434 | 0.2999 | 0.8784 | |
| | 0.4424 | 8.0 | 8496 | 0.2985 | 0.8779 | |
| | 0.3915 | 9.0 | 9558 | 0.2987 | 0.8755 | |
| | 0.4196 | 10.0 | 10620 | 0.2942 | 0.8783 | |
| | 0.3827 | 11.0 | 11682 | 0.2936 | 0.8783 | |
| | 0.32 | 12.0 | 12744 | 0.2895 | 0.8806 | |
| | 0.3664 | 13.0 | 13806 | 0.2971 | 0.8737 | |
| | 0.3623 | 14.0 | 14868 | 0.2935 | 0.8760 | |
| | 0.3542 | 15.0 | 15930 | 0.2943 | 0.8745 | |
| | 0.3391 | 16.0 | 16992 | 0.2881 | 0.8810 | |
| | 0.3404 | 17.0 | 18054 | 0.2888 | 0.8783 | |
| | 0.3747 | 18.0 | 19116 | 0.2893 | 0.8776 | |
| | 0.38 | 19.0 | 20178 | 0.2856 | 0.8807 | |
| | 0.3123 | 20.0 | 21240 | 0.2853 | 0.8811 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
