| --- |
| 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-10-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-10-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: 0.2976 |
| - Accuracy: 0.8762 |
|
|
| ## 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: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.6008 | 1.0 | 1062 | 0.5867 | 0.7578 | |
| | 0.4986 | 2.0 | 2124 | 0.4298 | 0.8051 | |
| | 0.4322 | 3.0 | 3186 | 0.3786 | 0.8255 | |
| | 0.458 | 4.0 | 4248 | 0.3425 | 0.8462 | |
| | 0.4143 | 5.0 | 5310 | 0.3274 | 0.8533 | |
| | 0.4443 | 6.0 | 6372 | 0.3153 | 0.8620 | |
| | 0.3508 | 7.0 | 7434 | 0.3076 | 0.8691 | |
| | 0.4489 | 8.0 | 8496 | 0.2989 | 0.8745 | |
| | 0.364 | 9.0 | 9558 | 0.2974 | 0.8764 | |
| | 0.4091 | 10.0 | 10620 | 0.2976 | 0.8762 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
