bird_species_classifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the bird_species_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 3.0432
- Accuracy: 0.8051
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.7612 | 1.0 | 4232 | 5.6983 | 0.6094 |
| 5.2463 | 2.0 | 8464 | 5.1675 | 0.7284 |
| 4.718 | 3.0 | 12696 | 4.7034 | 0.7526 |
| 4.3011 | 4.0 | 16928 | 4.2762 | 0.7740 |
| 3.9042 | 5.0 | 21160 | 3.9123 | 0.7867 |
| 3.5981 | 6.0 | 25392 | 3.6050 | 0.7936 |
| 3.328 | 7.0 | 29624 | 3.3598 | 0.8015 |
| 3.164 | 8.0 | 33856 | 3.1819 | 0.8053 |
| 3.0241 | 9.0 | 38088 | 3.0878 | 0.8052 |
| 2.9784 | 10.0 | 42320 | 3.0420 | 0.8095 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Base model
google/vit-base-patch16-224-in21k