Floriankidev
commited on
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Model save
Browse files- README.md +21 -11
- model.safetensors +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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.
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- Accuracy: 0.
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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:
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### Training results
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| Training Loss | Epoch
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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: 0.796756082345602
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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: 0.6781
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- Accuracy: 0.7968
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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: 15
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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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| 1.5891 | 0.9966 | 218 | 1.3833 | 0.5723 |
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| 1.2997 | 1.9977 | 437 | 1.0831 | 0.6700 |
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| 1.1166 | 2.9989 | 656 | 0.9937 | 0.6958 |
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| 1.0464 | 4.0 | 875 | 0.9180 | 0.7231 |
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| 0.982 | 4.9966 | 1093 | 0.8399 | 0.7432 |
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| 0.9472 | 5.9977 | 1312 | 0.8127 | 0.7536 |
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| 0.8751 | 6.9989 | 1531 | 0.7852 | 0.7639 |
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| 0.9107 | 8.0 | 1750 | 0.7644 | 0.7713 |
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| 0.8464 | 8.9966 | 1968 | 0.7322 | 0.7830 |
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| 0.8398 | 9.9977 | 2187 | 0.7243 | 0.7798 |
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| 0.7534 | 10.9989 | 2406 | 0.7088 | 0.7845 |
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| 0.7051 | 12.0 | 2625 | 0.6982 | 0.7935 |
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| 0.7359 | 12.9966 | 2843 | 0.6985 | 0.7916 |
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| 0.7641 | 13.9977 | 3062 | 0.6838 | 0.7968 |
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| 0.7372 | 14.9486 | 3270 | 0.6781 | 0.7968 |
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### Framework versions
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model.safetensors
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