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jsalasr
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swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification
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Safetensors
swin
Generated from Trainer
Eval Results
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  1. README.md +14 -6
  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: 0.9678068410462777
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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: 0.0787
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- - Accuracy: 0.9678
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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: 2
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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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- | 0.1362 | 0.9946 | 139 | 0.0879 | 0.9678 |
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- | 0.1254 | 1.9893 | 278 | 0.0787 | 0.9678 |
 
 
 
 
 
 
 
 
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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: 0.9808660624370594
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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: 0.0550
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+ - Accuracy: 0.9809
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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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+ | 0.1993 | 0.9904 | 77 | 0.0961 | 0.9617 |
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+ | 0.1729 | 1.9936 | 155 | 0.1151 | 0.9486 |
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+ | 0.1509 | 2.9968 | 233 | 0.0603 | 0.9748 |
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+ | 0.1081 | 4.0 | 311 | 0.0367 | 0.9879 |
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+ | 0.1195 | 4.9904 | 388 | 0.0936 | 0.9627 |
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+ | 0.0674 | 5.9936 | 466 | 0.0370 | 0.9849 |
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+ | 0.0629 | 6.9968 | 544 | 0.0400 | 0.9839 |
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+ | 0.0718 | 8.0 | 622 | 0.0496 | 0.9839 |
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+ | 0.0335 | 8.9904 | 699 | 0.0533 | 0.9819 |
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+ | 0.0843 | 9.9035 | 770 | 0.0550 | 0.9809 |
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  ### Framework versions
model.safetensors CHANGED
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