DouglasBraga
commited on
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Model save
Browse files- README.md +14 -7
- 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 | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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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: 0.805
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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: 0.6650
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- Accuracy: 0.805
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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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| 0.2566 | 0.9825 | 14 | 0.7227 | 0.74 |
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| 0.2729 | 1.9649 | 28 | 0.3916 | 0.815 |
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| 0.1553 | 2.9474 | 42 | 0.8409 | 0.75 |
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| 0.1371 | 4.0 | 57 | 0.3706 | 0.885 |
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| 0.1588 | 4.9825 | 71 | 0.8758 | 0.765 |
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| 0.1093 | 5.9649 | 85 | 0.6063 | 0.82 |
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| 0.102 | 6.9474 | 99 | 0.5308 | 0.84 |
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| 0.0713 | 8.0 | 114 | 0.3536 | 0.88 |
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| 0.1045 | 8.9825 | 128 | 0.3858 | 0.875 |
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| 0.0661 | 9.8246 | 140 | 0.6650 | 0.805 |
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### Framework versions
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model.safetensors
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