zesty-waterfall-203
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: 1.3379
- Accuracy: 0.4277
- Precision: 0.5354
- Recall: 0.4277
- F1: 0.3818
- Roc Auc: 0.7103
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: 32
- eval_batch_size: 32
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 1.4416 | 1.0 | 144 | 1.3819 | 0.3203 | 0.1026 | 0.3203 | 0.1554 | 0.3980 |
| 1.4694 | 2.0 | 288 | 1.5073 | 0.1680 | 0.0282 | 0.1680 | 0.0483 | 0.5547 |
| 1.4062 | 3.0 | 432 | 1.3379 | 0.4277 | 0.5354 | 0.4277 | 0.3818 | 0.7103 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0