hemlatachanne
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Model save
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README.md
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base_model: microsoft/swin-tiny-patch4-window7-224
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tags:
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- generated_from_trainer
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model-index:
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- name: swin-tiny-patch4-window7-224-finetuned-ibird
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results: []
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# swin-tiny-patch4-window7-224-finetuned-ibird
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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 an unknown dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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### Framework versions
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- Transformers 4.38.2
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base_model: microsoft/swin-tiny-patch4-window7-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: swin-tiny-patch4-window7-224-finetuned-ibird
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results: []
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# swin-tiny-patch4-window7-224-finetuned-ibird
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0826
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- Accuracy: 0.9796
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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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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| 0.166 | 1.0 | 565 | 0.1148 | 0.9676 |
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| 0.0909 | 2.0 | 1131 | 0.0890 | 0.9756 |
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| 0.018 | 3.0 | 1696 | 0.0940 | 0.9756 |
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| 0.0246 | 4.0 | 2262 | 0.0811 | 0.9791 |
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| 0.0175 | 5.0 | 2825 | 0.0826 | 0.9796 |
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### Framework versions
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- Transformers 4.38.2
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model.safetensors
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runs/Mar08_17-18-22_2472a094a617/events.out.tfevents.1709918302.2472a094a617.3364.6
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