metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lens-1
results: []
lens-1
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: 1.1819
- Accuracy: 0.57
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5087 | 1.0 | 200 | 1.1273 | 0.545 |
| 0.5636 | 2.0 | 400 | 1.1752 | 0.545 |
| 0.5356 | 3.0 | 600 | 1.2058 | 0.52 |
| 0.6525 | 4.0 | 800 | 1.0978 | 0.545 |
| 0.4262 | 5.0 | 1000 | 1.1396 | 0.55 |
| 0.5066 | 6.0 | 1200 | 1.1730 | 0.53 |
| 0.3765 | 7.0 | 1400 | 1.1041 | 0.585 |
| 0.3869 | 8.0 | 1600 | 1.2183 | 0.525 |
| 0.4331 | 9.0 | 1800 | 1.1815 | 0.535 |
| 0.4646 | 10.0 | 2000 | 1.1397 | 0.57 |
| 0.6802 | 11.0 | 2200 | 1.1624 | 0.525 |
| 0.679 | 12.0 | 2400 | 1.1541 | 0.52 |
| 0.6286 | 13.0 | 2600 | 1.1933 | 0.52 |
| 0.663 | 14.0 | 2800 | 1.2535 | 0.5 |
| 0.4078 | 15.0 | 3000 | 1.2326 | 0.495 |
| 0.6179 | 16.0 | 3200 | 1.1901 | 0.52 |
| 0.4192 | 17.0 | 3400 | 1.2329 | 0.525 |
| 0.3685 | 18.0 | 3600 | 1.2212 | 0.505 |
| 0.4928 | 19.0 | 3800 | 1.1887 | 0.555 |
| 0.5752 | 20.0 | 4000 | 1.1819 | 0.57 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1