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mobilevit-x-small-finetuned-lora-food101
This model is a fine-tuned version of apple/mobilevit-x-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7816
- Accuracy: 0.786
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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 9 | 3.5011 | 0.664 |
| 4.1269 | 2.0 | 18 | 2.0028 | 0.622 |
| 2.5648 | 3.0 | 27 | 1.0927 | 0.744 |
| 1.411 | 4.0 | 36 | 0.8316 | 0.788 |
| 0.9802 | 5.0 | 45 | 0.7816 | 0.786 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Saeid/mobilevit-x-small-finetuned-lora-food101
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