metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BirdsSpecies_vit_finetune
results: []
BirdsSpecies_vit_finetune
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: 0.1649
- Accuracy: 0.9545
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-05
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.824 | 0.9984 | 468 | 0.8012 | 0.9212 |
| 0.3097 | 1.9989 | 937 | 0.3637 | 0.9291 |
| 0.2615 | 2.9995 | 1406 | 0.2659 | 0.9383 |
| 0.2235 | 4.0 | 1875 | 0.2108 | 0.9464 |
| 0.1777 | 4.9984 | 2343 | 0.2156 | 0.9444 |
| 0.1927 | 5.9989 | 2812 | 0.2014 | 0.9453 |
| 0.2229 | 6.9995 | 3281 | 0.1893 | 0.9485 |
| 0.1299 | 8.0 | 3750 | 0.1622 | 0.9555 |
| 0.1525 | 8.9984 | 4218 | 0.1548 | 0.9584 |
| 0.1377 | 9.984 | 4680 | 0.1649 | 0.9545 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1