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BirdsSpecies_vit_finetune_LoRA
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: 0.1818
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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2841 | 0.9984 | 468 | 0.3200 |
| 0.2321 | 1.9989 | 937 | 0.2803 |
| 0.2125 | 2.9995 | 1406 | 0.2338 |
| 0.1653 | 4.0 | 1875 | 0.1991 |
| 0.1667 | 4.992 | 2340 | 0.1818 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for vishnun0027/BirdsSpecies_vit_finetune_lora
Base model
google/vit-base-patch16-224-in21k