metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reapikui_best_model
results: []
reapikui_best_model
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: 0.8426
- Accuracy: 0.922
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.8526 | 0.992 | 62 | 2.6167 | 0.836 |
| 1.7104 | 2.0 | 125 | 1.5818 | 0.884 |
| 1.2318 | 2.992 | 187 | 1.1876 | 0.915 |
| 0.9759 | 4.0 | 250 | 0.9661 | 0.92 |
| 0.8262 | 4.992 | 312 | 0.8780 | 0.92 |
| 0.7681 | 5.952 | 372 | 0.8362 | 0.93 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1