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Melo1512
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vit-msn-small-corect_deepcleaned_dataset_lateral_flow_ivalidation

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  1. README.md +23 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ model-index:
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  name: imagefolder
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  type: imagefolder
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  config: default
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- split: validation
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  args: default
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9497584541062802
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/vit-msn-small](https://huggingface.co/facebook/vit-msn-small) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1871
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- - Accuracy: 0.9498
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  ## Model description
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@@ -68,25 +68,25 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | No log | 0.9231 | 3 | 0.3933 | 0.8928 |
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- | No log | 1.8462 | 6 | 0.4167 | 0.9188 |
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- | No log | 2.7692 | 9 | 0.9331 | 0.4966 |
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- | 0.615 | 4.0 | 13 | 0.3085 | 0.9179 |
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- | 0.615 | 4.9231 | 16 | 0.2210 | 0.9333 |
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- | 0.615 | 5.8462 | 19 | 0.2106 | 0.9391 |
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- | 0.3763 | 6.7692 | 22 | 0.1871 | 0.9498 |
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- | 0.3763 | 8.0 | 26 | 0.2043 | 0.9372 |
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- | 0.3763 | 8.9231 | 29 | 0.3121 | 0.8889 |
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- | 0.3511 | 9.8462 | 32 | 0.2015 | 0.9314 |
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- | 0.3511 | 10.7692 | 35 | 0.4485 | 0.8377 |
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- | 0.3511 | 12.0 | 39 | 0.2445 | 0.9285 |
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- | 0.2962 | 12.9231 | 42 | 0.3045 | 0.9053 |
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- | 0.2962 | 13.8462 | 45 | 0.3915 | 0.8715 |
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- | 0.2962 | 14.7692 | 48 | 0.3165 | 0.8937 |
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- | 0.2553 | 16.0 | 52 | 0.2823 | 0.9082 |
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- | 0.2553 | 16.9231 | 55 | 0.3504 | 0.8870 |
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- | 0.2553 | 17.8462 | 58 | 0.3679 | 0.8870 |
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- | 0.2601 | 18.4615 | 60 | 0.3520 | 0.8879 |
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  ### Framework versions
 
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  name: imagefolder
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  type: imagefolder
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  config: default
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+ split: test
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  args: default
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9120879120879121
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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 [facebook/vit-msn-small](https://huggingface.co/facebook/vit-msn-small) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2491
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+ - Accuracy: 0.9121
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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 | 0.9231 | 3 | 0.6175 | 0.7216 |
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+ | No log | 1.8462 | 6 | 0.4141 | 0.8352 |
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+ | No log | 2.7692 | 9 | 0.7408 | 0.5788 |
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+ | 0.5817 | 4.0 | 13 | 0.2757 | 0.9158 |
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+ | 0.5817 | 4.9231 | 16 | 0.2847 | 0.8791 |
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+ | 0.5817 | 5.8462 | 19 | 0.2456 | 0.9011 |
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+ | 0.3724 | 6.7692 | 22 | 0.2547 | 0.9121 |
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+ | 0.3724 | 8.0 | 26 | 0.3007 | 0.8828 |
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+ | 0.3724 | 8.9231 | 29 | 0.3043 | 0.9011 |
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+ | 0.3155 | 9.8462 | 32 | 0.2603 | 0.9048 |
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+ | 0.3155 | 10.7692 | 35 | 0.2481 | 0.9158 |
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+ | 0.3155 | 12.0 | 39 | 0.2229 | 0.9194 |
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+ | 0.2844 | 12.9231 | 42 | 0.3036 | 0.8791 |
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+ | 0.2844 | 13.8462 | 45 | 0.2579 | 0.9084 |
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+ | 0.2844 | 14.7692 | 48 | 0.2434 | 0.9158 |
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+ | 0.2517 | 16.0 | 52 | 0.2718 | 0.9048 |
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+ | 0.2517 | 16.9231 | 55 | 0.2513 | 0.9121 |
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+ | 0.2517 | 17.8462 | 58 | 0.2503 | 0.9121 |
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+ | 0.2468 | 18.4615 | 60 | 0.2491 | 0.9121 |
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  ### Framework versions
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