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Model save

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  1. README.md +9 -7
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.5879
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  - F1: 0.6869
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  ## Model description
@@ -47,17 +47,19 @@ The following hyperparameters were used during training:
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 0.6179 | 0.9963 | 67 | 0.6125 | 0.6696 |
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- | 0.5961 | 1.9926 | 134 | 0.5973 | 0.6771 |
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- | 0.5971 | 2.9888 | 201 | 0.5913 | 0.6845 |
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- | 0.6024 | 4.0 | 269 | 0.5907 | 0.6803 |
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- | 0.5684 | 4.9814 | 335 | 0.5879 | 0.6869 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.5974
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  - F1: 0.6869
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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: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.516 | 0.9963 | 67 | 0.5966 | 0.6873 |
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+ | 0.5235 | 1.9926 | 134 | 0.5976 | 0.6850 |
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+ | 0.5327 | 2.9888 | 201 | 0.5961 | 0.6873 |
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+ | 0.5494 | 4.0 | 269 | 0.5996 | 0.6850 |
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+ | 0.5238 | 4.9963 | 336 | 0.5970 | 0.6883 |
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+ | 0.522 | 5.9926 | 403 | 0.6024 | 0.6813 |
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+ | 0.5134 | 6.9740 | 469 | 0.5974 | 0.6869 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 347498816
 
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  size 347498816