convnext-large-224-finetuned-dog-vs-cat
This model is a fine-tuned version of facebook/convnext-large-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3586
- Recall: 0.9783
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Recall |
|---|---|---|---|---|
| 0.496 | 0.9954 | 164 | 0.4792 | 0.9201 |
| 0.3996 | 1.9970 | 329 | 0.3836 | 0.9765 |
| 0.373 | 2.9863 | 492 | 0.3586 | 0.9783 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1