metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- 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-base-patch16-224-in21k. It achieves the following results on the evaluation set:
- Loss: 0.0816
- Accuracy: 0.9819
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5092 | 0.28 | 100 | 0.6420 | 0.7681 |
| 0.5076 | 0.56 | 200 | 0.4069 | 0.8722 |
| 0.3291 | 0.83 | 300 | 0.4342 | 0.8569 |
| 0.108 | 1.11 | 400 | 0.2410 | 0.9292 |
| 0.0378 | 1.39 | 500 | 0.3107 | 0.9139 |
| 0.1488 | 1.67 | 600 | 0.1984 | 0.9389 |
| 0.0532 | 1.94 | 700 | 0.1714 | 0.9514 |
| 0.0122 | 2.22 | 800 | 0.1334 | 0.9611 |
| 0.0529 | 2.5 | 900 | 0.1139 | 0.9653 |
| 0.0221 | 2.78 | 1000 | 0.0875 | 0.9736 |
| 0.0052 | 3.06 | 1100 | 0.0816 | 0.9819 |
| 0.0045 | 3.33 | 1200 | 0.0873 | 0.9792 |
| 0.0113 | 3.61 | 1300 | 0.0882 | 0.9833 |
| 0.0043 | 3.89 | 1400 | 0.0865 | 0.9806 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0