metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-large-ai-or-not
results: []
vit-large-ai-or-not
This model is a fine-tuned version of google/vit-large-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1039
- Accuracy: 0.9581
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3925 | 0.1808 | 200 | 0.4045 | 0.8786 |
| 0.2803 | 0.3617 | 400 | 0.2386 | 0.9044 |
| 0.2235 | 0.5425 | 600 | 0.1893 | 0.9173 |
| 0.217 | 0.7233 | 800 | 0.1597 | 0.9398 |
| 0.1865 | 0.9042 | 1000 | 0.1413 | 0.9420 |
| 0.1309 | 1.0850 | 1200 | 0.1474 | 0.9517 |
| 0.1008 | 1.2658 | 1400 | 0.1914 | 0.9420 |
| 0.0793 | 1.4467 | 1600 | 0.1557 | 0.9441 |
| 0.0804 | 1.6275 | 1800 | 0.2301 | 0.9313 |
| 0.0814 | 1.8083 | 2000 | 0.1039 | 0.9581 |
| 0.0446 | 1.9892 | 2200 | 0.1124 | 0.9635 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1