<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
image_classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.2152
- Accuracy: 0.5687
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 1.3484 | 0.5437 |
| No log | 2.0 | 80 | 1.3268 | 0.4875 |
| No log | 3.0 | 120 | 1.2463 | 0.5437 |
| No log | 4.0 | 160 | 1.2361 | 0.5563 |
| No log | 5.0 | 200 | 1.2089 | 0.5813 |
| No log | 6.0 | 240 | 1.2544 | 0.525 |
| No log | 7.0 | 280 | 1.1947 | 0.5563 |
| No log | 8.0 | 320 | 1.2502 | 0.5188 |
| No log | 9.0 | 360 | 1.3415 | 0.4938 |
| No log | 10.0 | 400 | 1.1336 | 0.6 |
| No log | 11.0 | 440 | 1.2716 | 0.5437 |
| No log | 12.0 | 480 | 1.4631 | 0.5 |
| 0.6882 | 13.0 | 520 | 1.3970 | 0.5563 |
| 0.6882 | 14.0 | 560 | 1.2654 | 0.5188 |
| 0.6882 | 15.0 | 600 | 1.2498 | 0.575 |
| 0.6882 | 16.0 | 640 | 1.2655 | 0.5938 |
| 0.6882 | 17.0 | 680 | 1.3577 | 0.55 |
| 0.6882 | 18.0 | 720 | 1.2711 | 0.5813 |
| 0.6882 | 19.0 | 760 | 1.3127 | 0.5687 |
| 0.6882 | 20.0 | 800 | 1.2478 | 0.575 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
