stellar-lion-210
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: 1.3994
- Accuracy: 0.3125
- Precision: 0.3585
- Recall: 0.3125
- F1: 0.3241
- Roc Auc: 0.5367
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 1.415 | 1.0 | 17 | 1.4122 | 0.2812 | 0.3471 | 0.2812 | 0.2637 | 0.5093 |
| 1.3936 | 2.0 | 34 | 1.4003 | 0.3073 | 0.3525 | 0.3073 | 0.3176 | 0.5317 |
| 1.385 | 3.0 | 51 | 1.3994 | 0.3125 | 0.3585 | 0.3125 | 0.3241 | 0.5367 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0