Main_Fashion-convnext
This model is a fine-tuned version of 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