Limited_Plant_Family_Classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7774
- Accuracy: 0.5646
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.6472 | 0.9989 | 676 | 2.6322 | 0.4149 |
| 2.0979 | 1.9993 | 1353 | 2.1572 | 0.4907 |
| 1.8214 | 2.9996 | 2030 | 1.9491 | 0.5283 |
| 1.6741 | 4.0 | 2707 | 1.8711 | 0.5459 |
| 1.5301 | 4.9989 | 3383 | 1.8058 | 0.5656 |
| 1.2758 | 5.9934 | 4056 | 1.7774 | 0.5646 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google/vit-base-patch16-224-in21k