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Mrohit01
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cards-vit-base-patch16-224-finetuned-v1

Image Classification
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vit
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  1. README.md +14 -14
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.3192410001773364
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6835
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- - Accuracy: 0.3192
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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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- | 1.7866 | 0.9993 | 378 | 1.7677 | 0.2746 |
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- | 1.7457 | 1.9987 | 756 | 1.7163 | 0.2990 |
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- | 1.7123 | 2.9980 | 1134 | 1.6862 | 0.3007 |
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- | 1.6607 | 4.0 | 1513 | 1.6823 | 0.3081 |
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- | 1.6188 | 4.9993 | 1891 | 1.6907 | 0.3108 |
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- | 1.6009 | 5.9987 | 2269 | 1.6773 | 0.3150 |
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- | 1.5485 | 6.9980 | 2647 | 1.6720 | 0.3198 |
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- | 1.5133 | 8.0 | 3026 | 1.6811 | 0.3199 |
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- | 1.5001 | 8.9993 | 3404 | 1.6821 | 0.3209 |
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- | 1.4303 | 9.9934 | 3780 | 1.6835 | 0.3192 |
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  ### Framework versions
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  - Transformers 4.40.1
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.31704202872849796
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  ---
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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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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9972
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+ - Accuracy: 0.3170
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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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+ | 1.7068 | 0.9993 | 378 | 1.9533 | 0.2753 |
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+ | 1.6691 | 1.9987 | 756 | 1.9642 | 0.2864 |
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+ | 1.6278 | 2.9980 | 1134 | 1.9935 | 0.3018 |
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+ | 1.5837 | 4.0 | 1513 | 2.0155 | 0.3077 |
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+ | 1.5263 | 4.9993 | 1891 | 2.0283 | 0.3063 |
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+ | 1.4969 | 5.9987 | 2269 | 2.0026 | 0.3081 |
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+ | 1.5088 | 6.9980 | 2647 | 2.0275 | 0.3098 |
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+ | 1.4623 | 8.0 | 3026 | 2.0096 | 0.3137 |
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+ | 1.4305 | 8.9993 | 3404 | 2.0239 | 0.3154 |
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+ | 1.3895 | 9.9934 | 3780 | 1.9972 | 0.3170 |
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  ### Framework versions
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  - Transformers 4.40.1
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+ - Pytorch 2.0.1+cu117
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1