---
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   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0