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HorcruxNo13
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dit-base-finetuned-rvlcdip

Image Classification
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PyTorch
beit
Generated from Trainer
Eval Results
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  1. README.md +23 -23
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -23,13 +23,13 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.71
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  - name: Precision
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  type: precision
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- value: 0.5041
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  - name: Recall
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  type: recall
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- value: 0.71
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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
@@ -39,11 +39,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6168
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- - Accuracy: 0.71
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- - Precision: 0.5041
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- - Recall: 0.71
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- - F1 Score: 0.5896
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  ## Model description
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@@ -77,21 +77,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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- | No log | 1.0 | 4 | 0.6775 | 0.7 | 0.6643 | 0.7 | 0.6736 |
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- | No log | 2.0 | 8 | 0.6093 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | No log | 3.0 | 12 | 0.5900 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6823 | 4.0 | 16 | 0.5878 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6823 | 5.0 | 20 | 0.5866 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6823 | 6.0 | 24 | 0.5875 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6823 | 7.0 | 28 | 0.5916 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6151 | 8.0 | 32 | 0.5922 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6151 | 9.0 | 36 | 0.5886 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6151 | 10.0 | 40 | 0.5871 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6151 | 11.0 | 44 | 0.5871 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6184 | 12.0 | 48 | 0.5875 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6184 | 13.0 | 52 | 0.5875 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6184 | 14.0 | 56 | 0.5872 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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- | 0.6156 | 15.0 | 60 | 0.5872 | 0.725 | 0.5256 | 0.725 | 0.6094 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.87
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  - name: Precision
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  type: precision
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+ value: 0.7623411371237458
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  - name: Recall
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  type: recall
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+ value: 0.87
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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 [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5940
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+ - Accuracy: 0.87
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+ - Precision: 0.7623
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+ - Recall: 0.87
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+ - F1 Score: 0.8126
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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+ | No log | 1.0 | 4 | 0.6006 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | No log | 2.0 | 8 | 0.5169 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | No log | 3.0 | 12 | 0.4027 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.5427 | 4.0 | 16 | 0.3865 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.5427 | 5.0 | 20 | 0.3894 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.5427 | 6.0 | 24 | 0.3729 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.5427 | 7.0 | 28 | 0.3707 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4458 | 8.0 | 32 | 0.3790 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4458 | 9.0 | 36 | 0.3504 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4458 | 10.0 | 40 | 0.3356 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4458 | 11.0 | 44 | 0.4082 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4369 | 12.0 | 48 | 0.3455 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4369 | 13.0 | 52 | 0.3074 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4369 | 14.0 | 56 | 0.3097 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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+ | 0.4109 | 15.0 | 60 | 0.3173 | 0.8708 | 0.7584 | 0.8708 | 0.8107 |
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  ### Framework versions
pytorch_model.bin CHANGED
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