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vit-base-patch16-224-finetuned-algae-wirs
This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9663
- Accuracy: 0.6021
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 1.0733 | 1.0 | 120 | 1.0611 | 0.5781 |
| 1.0243 | 2.0 | 240 | 1.0628 | 0.5663 |
| 0.9852 | 3.0 | 360 | 1.0083 | 0.5845 |
| 0.94 | 4.0 | 480 | 1.0005 | 0.5933 |
| 0.9744 | 5.0 | 600 | 1.0102 | 0.5786 |
| 0.9623 | 6.0 | 720 | 0.9840 | 0.5763 |
| 0.9021 | 7.0 | 840 | 0.9869 | 0.5798 |
| 0.9181 | 8.0 | 960 | 0.9755 | 0.5827 |
| 0.8774 | 9.0 | 1080 | 0.9808 | 0.5798 |
| 0.8294 | 10.0 | 1200 | 0.9663 | 0.6021 |
| 0.8015 | 11.0 | 1320 | 0.9739 | 0.5980 |
| 0.8063 | 12.0 | 1440 | 0.9811 | 0.6009 |
| 0.7857 | 13.0 | 1560 | 0.9833 | 0.5933 |
| 0.7085 | 14.0 | 1680 | 0.9887 | 0.5998 |
| 0.7414 | 15.0 | 1800 | 0.9928 | 0.5974 |
| 0.7442 | 16.0 | 1920 | 0.9963 | 0.5992 |
| 0.7142 | 17.0 | 2040 | 1.0041 | 0.6004 |
| 0.7488 | 18.0 | 2160 | 1.0034 | 0.5962 |
| 0.6731 | 19.0 | 2280 | 1.0055 | 0.6021 |
| 0.6905 | 20.0 | 2400 | 1.0033 | 0.6009 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
