metadata
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-base-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnext-base-224_rice-leaf-disease-augmented-v2_tl
results: []
convnext-base-224_rice-leaf-disease-augmented-v2_tl
This model is a fine-tuned version of facebook/convnext-base-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9910
- Accuracy: 0.6935
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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- 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_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0641 | 1.0 | 63 | 1.9738 | 0.3780 |
| 1.833 | 2.0 | 126 | 1.7100 | 0.5 |
| 1.5486 | 3.0 | 189 | 1.4962 | 0.5595 |
| 1.3602 | 4.0 | 252 | 1.3563 | 0.5982 |
| 1.2385 | 5.0 | 315 | 1.2619 | 0.625 |
| 1.1522 | 6.0 | 378 | 1.1995 | 0.6458 |
| 1.0888 | 7.0 | 441 | 1.1555 | 0.6607 |
| 1.0383 | 8.0 | 504 | 1.1159 | 0.6667 |
| 1.0003 | 9.0 | 567 | 1.0857 | 0.6726 |
| 0.971 | 10.0 | 630 | 1.0579 | 0.6845 |
| 0.9447 | 11.0 | 693 | 1.0446 | 0.6815 |
| 0.9265 | 12.0 | 756 | 1.0262 | 0.6905 |
| 0.9123 | 13.0 | 819 | 1.0158 | 0.6845 |
| 0.8985 | 14.0 | 882 | 1.0050 | 0.6935 |
| 0.8902 | 15.0 | 945 | 0.9993 | 0.6964 |
| 0.8846 | 16.0 | 1008 | 0.9950 | 0.6935 |
| 0.8803 | 17.0 | 1071 | 0.9926 | 0.6935 |
| 0.8774 | 18.0 | 1134 | 0.9916 | 0.6935 |
| 0.8766 | 19.0 | 1197 | 0.9911 | 0.6935 |
| 0.8772 | 20.0 | 1260 | 0.9910 | 0.6935 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0