metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: id1
results: []
id1
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the sooks/id1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6181
- Accuracy: 0.6535
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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6933 | 0.53 | 10000 | 0.6932 | 0.5008 |
| 0.6933 | 1.06 | 20000 | 0.6933 | 0.4992 |
| 0.6933 | 1.59 | 30000 | 0.6931 | 0.5008 |
| 0.6933 | 2.12 | 40000 | 0.6931 | 0.5161 |
| 0.6931 | 2.65 | 50000 | 0.6933 | 0.4991 |
| 0.6932 | 3.19 | 60000 | 0.6932 | 0.4991 |
| 0.6746 | 3.72 | 70000 | 0.6725 | 0.5796 |
| 0.6582 | 4.25 | 80000 | 0.6614 | 0.6032 |
| 0.6455 | 4.78 | 90000 | 0.6466 | 0.6132 |
| 0.6256 | 5.31 | 100000 | 0.6325 | 0.6391 |
| 0.6144 | 5.84 | 110000 | 0.6181 | 0.6535 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0