convnext-xlarge-224-22k-1k-v13
This model is a fine-tuned version of facebook/convnext-xlarge-224-22k-1k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0104
- Recall: 1.0
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Recall |
|---|---|---|---|---|
| No log | 1.0 | 9 | 0.0104 | 1.0 |
| 0.0652 | 2.0 | 18 | 0.0278 | 0.9857 |
| 0.03 | 3.0 | 27 | 0.0007 | 1.0 |
| 0.0156 | 4.0 | 36 | 0.0002 | 1.0 |
| 0.0042 | 5.0 | 45 | 0.0001 | 1.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3