swept-brook-197
This model is a fine-tuned version of facebook/convnextv2-tiny-1k-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6066
- Accuracy: 0.7402
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1424 | 1.0 | 18 | 0.9758 | 0.5527 |
| 0.937 | 2.0 | 36 | 0.8802 | 0.5488 |
| 0.9044 | 3.0 | 54 | 0.9013 | 0.5215 |
| 0.8604 | 4.0 | 72 | 0.8435 | 0.5781 |
| 0.8388 | 5.0 | 90 | 0.8415 | 0.5859 |
| 0.8287 | 6.0 | 108 | 0.9338 | 0.5098 |
| 0.8042 | 7.0 | 126 | 0.7766 | 0.6152 |
| 0.7452 | 8.0 | 144 | 0.7439 | 0.6328 |
| 0.701 | 9.0 | 162 | 0.7072 | 0.6543 |
| 0.6725 | 10.0 | 180 | 0.6605 | 0.7070 |
| 0.6326 | 11.0 | 198 | 0.6436 | 0.7012 |
| 0.6066 | 12.0 | 216 | 0.6437 | 0.7129 |
| 0.5878 | 13.0 | 234 | 0.6104 | 0.7461 |
| 0.5813 | 14.0 | 252 | 0.6086 | 0.7344 |
| 0.5753 | 15.0 | 270 | 0.6066 | 0.7402 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0