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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/saeid93/huggingface/runs/
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# mobilevit-x-small-finetuned-lora-food101
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This model is a fine-tuned version of [apple/mobilevit-x-small](https://huggingface.co/apple/mobilevit-x-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 9 | 3.
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### Framework versions
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/saeid93/huggingface/runs/b47xvsry)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/saeid93/huggingface/runs/b47xvsry)
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# mobilevit-x-small-finetuned-lora-food101
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This model is a fine-tuned version of [apple/mobilevit-x-small](https://huggingface.co/apple/mobilevit-x-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7816
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- Accuracy: 0.786
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 9 | 3.5011 | 0.664 |
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| 4.1269 | 2.0 | 18 | 2.0028 | 0.622 |
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| 2.5648 | 3.0 | 27 | 1.0927 | 0.744 |
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| 1.411 | 4.0 | 36 | 0.8316 | 0.788 |
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| 0.9802 | 5.0 | 45 | 0.7816 | 0.786 |
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### Framework versions
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adapter_model.safetensors
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