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  1. README.md +9 -8
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -14,13 +14,14 @@ model-index:
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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/vpq7nqso)
 
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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: 0.7312
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- - Accuracy: 0.796
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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 | 3.4816 | 0.68 |
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- | 4.1211 | 2.0 | 18 | 1.9034 | 0.66 |
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- | 2.5708 | 3.0 | 27 | 1.0626 | 0.744 |
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- | 1.3385 | 4.0 | 36 | 0.8268 | 0.766 |
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- | 0.9557 | 5.0 | 45 | 0.7312 | 0.796 |
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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
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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