VIT_large_ieee
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0230
- Accuracy: 0.9941
Model description
This model was used for IEEE ManSB VICTORIS 2.0 Final Competition
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0047 | 0.67 | 100 | 0.0283 | 0.9929 |
| 0.0165 | 1.34 | 200 | 0.0230 | 0.9941 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for DazMashaly/VIT_large_ieee
Base model
google/vit-large-patch16-224-in21k