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convnext-tiny-224-finetuned-eurosat-albumentations

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Apr14_11-30-45_fc3b5b8d5307/events.out.tfevents.1713094245.fc3b5b8d5307.267.0 +3 -0
  4. runs/Apr14_11-30-45_fc3b5b8d5307/events.out.tfevents.1713094685.fc3b5b8d5307.267.1 +3 -0
  5. training_args.bin +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: 0.9833333333333333
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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 [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0546
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- - Accuracy: 0.9833
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  ## Model description
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@@ -67,13 +67,13 @@ 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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- | 0.1696 | 1.0 | 190 | 0.1738 | 0.9559 |
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- | 0.0887 | 2.0 | 380 | 0.0837 | 0.9770 |
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- | 0.0483 | 3.0 | 570 | 0.0790 | 0.9774 |
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- | 0.0387 | 4.0 | 760 | 0.0701 | 0.9793 |
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- | 0.0454 | 5.0 | 950 | 0.0595 | 0.9826 |
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- | 0.0215 | 6.0 | 1140 | 0.0574 | 0.9819 |
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- | 0.0281 | 7.0 | 1330 | 0.0546 | 0.9833 |
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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: 0.9881481481481481
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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/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0395
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+ - Accuracy: 0.9881
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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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+ | 0.1337 | 1.0 | 190 | 0.1359 | 0.9663 |
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+ | 0.0644 | 2.0 | 380 | 0.0814 | 0.9767 |
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+ | 0.0544 | 3.0 | 570 | 0.0509 | 0.9863 |
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+ | 0.0621 | 4.0 | 760 | 0.0457 | 0.9859 |
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+ | 0.0335 | 5.0 | 950 | 0.0395 | 0.9881 |
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+ | 0.0326 | 6.0 | 1140 | 0.0407 | 0.9870 |
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+ | 0.0174 | 7.0 | 1330 | 0.0380 | 0.9881 |
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  ### Framework versions
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