| | --- |
| | license: apache-2.0 |
| | base_model: facebook/convnext-tiny-224 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: Main_Fashion-convnext |
| | 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. --> |
| |
|
| | # Main_Fashion-convnext |
| | |
| | This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1758 |
| | - Accuracy: 0.6381 |
| | |
| | ## 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: 5e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 12 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | | 2.0951 | 0.9630 | 13 | 2.0201 | 0.2251 | |
| | | 1.9821 | 2.0 | 27 | 1.8213 | 0.4037 | |
| | | 1.7245 | 2.9630 | 40 | 1.6774 | 0.4640 | |
| | | 1.6117 | 4.0 | 54 | 1.5480 | 0.5452 | |
| | | 1.5 | 4.9630 | 67 | 1.4506 | 0.5615 | |
| | | 1.3393 | 6.0 | 81 | 1.3610 | 0.5963 | |
| | | 1.2579 | 6.9630 | 94 | 1.2995 | 0.6172 | |
| | | 1.2405 | 8.0 | 108 | 1.2480 | 0.6288 | |
| | | 1.1479 | 8.9630 | 121 | 1.2127 | 0.6357 | |
| | | 1.1005 | 10.0 | 135 | 1.1898 | 0.6381 | |
| | | 1.0989 | 10.9630 | 148 | 1.1778 | 0.6381 | |
| | | 1.0816 | 11.5556 | 156 | 1.1758 | 0.6381 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.1 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| | |
