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vintage-lavender619
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swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification
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swin
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  1. README.md +14 -7
  2. model.safetensors +1 -1
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: 0.8890356671070013
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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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3426
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- - Accuracy: 0.8890
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  ## Model description
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@@ -61,15 +61,22 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.6948 | 0.9684 | 23 | 0.6058 | 0.7807 |
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- | 0.4966 | 1.9789 | 47 | 0.3998 | 0.8745 |
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- | 0.3494 | 2.9053 | 69 | 0.3426 | 0.8890 |
 
 
 
 
 
 
 
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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: 0.9365918097754293
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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/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2033
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+ - Accuracy: 0.9366
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.3125 | 0.9684 | 23 | 0.3341 | 0.8732 |
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+ | 0.2977 | 1.9789 | 47 | 0.2943 | 0.9062 |
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+ | 0.2677 | 2.9895 | 71 | 0.2374 | 0.9168 |
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+ | 0.2483 | 4.0 | 95 | 0.2230 | 0.9207 |
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+ | 0.2331 | 4.9684 | 118 | 0.2198 | 0.9234 |
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+ | 0.2315 | 5.9789 | 142 | 0.2150 | 0.9181 |
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+ | 0.2249 | 6.9895 | 166 | 0.2177 | 0.9234 |
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+ | 0.1683 | 8.0 | 190 | 0.2068 | 0.9326 |
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+ | 0.1725 | 8.9684 | 213 | 0.2040 | 0.9366 |
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+ | 0.1789 | 9.6842 | 230 | 0.2033 | 0.9366 |
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  ### Framework versions
model.safetensors CHANGED
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