fogsmog_hfclass
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: 0.3700
- Accuracy: 0.91
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|
| 0.6766 | 1.0 | 25 | 0.6299 | 0.795 |
| 0.3444 | 2.0 | 50 | 0.3701 | 0.8625 |
| 0.2456 | 3.0 | 75 | 0.2988 | 0.885 |
| 0.1402 | 4.0 | 100 | 0.3076 | 0.905 |
| 0.1275 | 5.0 | 125 | 0.4505 | 0.8525 |
| 0.0909 | 6.0 | 150 | 0.3739 | 0.8825 |
| 0.0792 | 7.0 | 175 | 0.3642 | 0.885 |
| 0.0482 | 8.0 | 200 | 0.3812 | 0.885 |
| 0.0451 | 9.0 | 225 | 0.3290 | 0.9 |
| 0.0526 | 10.0 | 250 | 0.4004 | 0.8825 |
| 0.0575 | 11.0 | 275 | 0.2842 | 0.925 |
| 0.0457 | 12.0 | 300 | 0.3952 | 0.895 |
| 0.0505 | 13.0 | 325 | 0.4411 | 0.885 |
| 0.0324 | 14.0 | 350 | 0.4185 | 0.8925 |
| 0.0354 | 15.0 | 375 | 0.3347 | 0.9025 |
| 0.0443 | 16.0 | 400 | 0.2949 | 0.915 |
| 0.0305 | 17.0 | 425 | 0.3603 | 0.905 |
| 0.0234 | 18.0 | 450 | 0.3858 | 0.8875 |
| 0.0219 | 19.0 | 475 | 0.3541 | 0.91 |
| 0.0284 | 20.0 | 500 | 0.3700 | 0.91 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2