S5_M1_fold2_ViT_42618583
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0165
- Accuracy: 0.9976
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0107 | 1.0 | 368 | 0.0235 | 0.9936 |
| 0.0006 | 2.0 | 737 | 0.0171 | 0.9960 |
| 0.0001 | 3.0 | 1105 | 0.0154 | 0.9984 |
| 0.0001 | 4.0 | 1474 | 0.0151 | 0.9976 |
| 0.0001 | 4.99 | 1840 | 0.0165 | 0.9976 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3
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Model tree for alirzb/S5_M1_fold2_ViT_42618583
Base model
google/vit-base-patch16-224