End of training
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- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: microsoft/swinv2-base-patch4-
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tags:
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- generated_from_trainer
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metrics:
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@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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# 0.50-200Train-100Test-swinv2-base
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-
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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 | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.
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| 0.
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| 0.
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### Framework versions
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---
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license: apache-2.0
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base_model: microsoft/swinv2-base-patch4-window12-192-22k
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tags:
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- generated_from_trainer
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metrics:
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# 0.50-200Train-100Test-swinv2-base
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8692
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- Accuracy: 0.8218
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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: 10
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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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| 1.4079 | 0.9931 | 36 | 0.8584 | 0.7266 |
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| 0.4802 | 1.9862 | 72 | 0.6626 | 0.7886 |
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| 0.218 | 2.9793 | 108 | 0.7199 | 0.7904 |
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| 0.1184 | 4.0 | 145 | 0.7587 | 0.8096 |
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| 0.0531 | 4.9931 | 181 | 0.7530 | 0.8157 |
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| 0.0579 | 5.9862 | 217 | 0.7707 | 0.8070 |
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| 0.031 | 6.9793 | 253 | 0.8554 | 0.8262 |
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| 0.0094 | 8.0 | 290 | 0.8697 | 0.8122 |
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| 0.0131 | 8.9931 | 326 | 0.8843 | 0.8227 |
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| 0.0128 | 9.9310 | 360 | 0.8692 | 0.8218 |
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### Framework versions
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model.safetensors
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