metadata
license: apache-2.0
base_model: google/vit-large-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-beans-demo-v5
results: []
vit-base-beans-demo-v5
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0397
- Accuracy: 0.9916
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: 1e-06
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.004 | 0.17 | 100 | 0.0441 | 0.9903 |
| 0.0025 | 0.34 | 200 | 0.0424 | 0.9903 |
| 0.0019 | 0.5 | 300 | 0.0406 | 0.9908 |
| 0.0015 | 0.67 | 400 | 0.0398 | 0.9916 |
| 0.0019 | 0.84 | 500 | 0.0397 | 0.9916 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3