Recommendation-system
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8203
- Accuracy: 0.6505
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.7295 | 1.0 | 612 | 3.7145 | 0.4203 |
| 2.6027 | 2.0 | 1224 | 2.7499 | 0.5296 |
| 2.1701 | 3.0 | 1836 | 2.2983 | 0.5803 |
| 1.8428 | 4.0 | 2448 | 2.0223 | 0.6222 |
| 1.7442 | 5.0 | 3060 | 1.8794 | 0.6442 |
| 1.6609 | 6.0 | 3672 | 1.8203 | 0.6505 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
google/vit-base-patch16-224-in21k