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Aditi3004
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resnet-50-finetuned-eurosat

Image Classification
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resnet
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  1. README.md +12 -14
  2. model.safetensors +1 -1
  3. runs/Jan09_05-37-46_a7a68c73dff9/events.out.tfevents.1736405236.a7a68c73dff9.381.2 +2 -2
README.md CHANGED
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6325
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  - Accuracy: 0.5625
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  ## Model description
@@ -68,19 +68,17 @@ 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 | 1.0 | 3 | 0.6890 | 0.5 |
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- | No log | 2.0 | 6 | 0.6856 | 0.5 |
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- | No log | 3.0 | 9 | 0.6796 | 0.5625 |
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- | 2.1334 | 4.0 | 12 | 0.6712 | 0.5312 |
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- | 2.1334 | 5.0 | 15 | 0.6669 | 0.5312 |
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- | 2.1334 | 6.0 | 18 | 0.6576 | 0.5312 |
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- | 2.0715 | 7.0 | 21 | 0.6581 | 0.5312 |
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- | 2.0715 | 8.0 | 24 | 0.6548 | 0.5625 |
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- | 2.0715 | 9.0 | 27 | 0.6480 | 0.5625 |
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- | 1.8148 | 10.0 | 30 | 0.6457 | 0.5625 |
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- | 1.8148 | 11.0 | 33 | 0.6378 | 0.5625 |
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- | 1.8148 | 12.0 | 36 | 0.6368 | 0.5625 |
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- | 1.8148 | 13.0 | 39 | 0.6325 | 0.5625 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6309
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  - Accuracy: 0.5625
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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 | 1.0 | 3 | 0.6749 | 0.5625 |
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+ | No log | 2.0 | 6 | 0.6746 | 0.5625 |
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+ | No log | 3.0 | 9 | 0.6696 | 0.5625 |
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+ | 2.1049 | 4.0 | 12 | 0.6614 | 0.5312 |
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+ | 2.1049 | 5.0 | 15 | 0.6552 | 0.5625 |
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+ | 2.1049 | 6.0 | 18 | 0.6494 | 0.5625 |
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+ | 2.0436 | 7.0 | 21 | 0.6427 | 0.5625 |
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+ | 2.0436 | 8.0 | 24 | 0.6399 | 0.5625 |
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+ | 2.0436 | 9.0 | 27 | 0.6325 | 0.5625 |
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+ | 1.7828 | 10.0 | 30 | 0.6314 | 0.5625 |
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+ | 1.7828 | 11.0 | 33 | 0.6309 | 0.5625 |
 
 
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  ### Framework versions
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