vit-base-patch16-224-in21k-finetuned-pokemon-classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the pokemon-classification dataset. It achieves the following results on the evaluation set:
- Loss: 3.8734
- Accuracy: 0.8029
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 4.9109 | 0.99 | 34 | 4.8193 | 0.1499 |
| 4.6433 | 1.99 | 68 | 4.5361 | 0.4661 |
| 4.2878 | 2.98 | 102 | 4.2546 | 0.6838 |
| 4.0792 | 4.0 | 137 | 4.0353 | 0.7680 |
| 3.8934 | 4.99 | 171 | 3.9120 | 0.7926 |
| 3.8294 | 5.96 | 204 | 3.8734 | 0.8029 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Downloads last month
- 9
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.