S1_M1_R1_ViT_42616100
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: 0.0078
- Accuracy: 0.9971
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 |
|---|---|---|---|---|
| 0.0113 | 1.0 | 304 | 0.0067 | 0.9980 |
| 0.0065 | 2.0 | 608 | 0.0040 | 0.9980 |
| 0.0031 | 3.0 | 912 | 0.0152 | 0.9961 |
| 0.0 | 4.0 | 1217 | 0.0091 | 0.9971 |
| 0.0 | 5.0 | 1520 | 0.0078 | 0.9971 |
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/S1_M1_R1_ViT_42616100
Base model
google/vit-base-patch16-224