metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-augmented
results: []
vit-augmented
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: 0.7627
- Accuracy: 0.8096
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2553 | 1.0 | 240 | 1.2678 | 0.4939 |
| 0.9239 | 2.0 | 480 | 0.9428 | 0.6534 |
| 0.5559 | 3.0 | 720 | 0.8016 | 0.7161 |
| 0.303 | 4.0 | 960 | 0.7304 | 0.7509 |
| 0.1581 | 5.0 | 1200 | 0.7179 | 0.7684 |
| 0.1043 | 6.0 | 1440 | 0.6920 | 0.7911 |
| 0.0394 | 7.0 | 1680 | 0.7819 | 0.7840 |
| 0.0214 | 8.0 | 1920 | 0.7248 | 0.8047 |
| 0.0173 | 9.0 | 2160 | 0.7635 | 0.8083 |
| 0.0114 | 10.0 | 2400 | 0.7627 | 0.8096 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1