Model save
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README.md
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window16-256
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# save-model-final-fork
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on
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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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- seed: 42
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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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- num_epochs:
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### Training results
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| No log | 6.0 | 60 | 0.825 | 0.6675 |
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| No log | 7.0 | 70 | 0.8375 | 0.7300 |
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| No log | 8.0 | 80 | 0.85 | 0.8635 |
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| No log | 9.0 | 90 | 0.
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| 0.1657 | 10.0 | 100 | 0.
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| 0.1657 | 11.0 | 110 | 0.
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| 0.1657 | 12.0 | 120 | 0.
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| 0.1657 | 13.0 | 130 | 0.
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| 0.1657 | 14.0 | 140 | 0.
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| 0.1657 | 15.0 | 150 | 0.
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| 0.1657 | 16.0 | 160 | 0.
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| 0.1657 | 17.0 | 170 | 0.
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| 0.1657 | 18.0 | 180 | 0.
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| 0.1657 | 19.0 | 190 | 0.
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| 0.0254 | 20.0 | 200 | 0.
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### Framework versions
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window16-256
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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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# save-model-final-fork
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0002
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- Accuracy: 1.0
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## Model description
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- seed: 42
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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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- num_epochs: 21
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### Training results
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| No log | 6.0 | 60 | 0.825 | 0.6675 |
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| No log | 7.0 | 70 | 0.8375 | 0.7300 |
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| No log | 8.0 | 80 | 0.85 | 0.8635 |
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| No log | 9.0 | 90 | 0.95 | 0.3333 |
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| 0.1657 | 10.0 | 100 | 0.9375 | 0.2634 |
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| 0.1657 | 11.0 | 110 | 0.9375 | 0.3821 |
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| 0.1657 | 12.0 | 120 | 0.9625 | 0.2343 |
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| 0.1657 | 13.0 | 130 | 0.9375 | 0.3103 |
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| 0.1657 | 14.0 | 140 | 0.95 | 0.3481 |
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| 0.1657 | 15.0 | 150 | 0.9625 | 0.2419 |
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| 0.1657 | 16.0 | 160 | 0.9375 | 0.2408 |
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| 0.1657 | 17.0 | 170 | 0.95 | 0.3202 |
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| 0.1657 | 18.0 | 180 | 0.9125 | 0.4016 |
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| 0.1657 | 19.0 | 190 | 0.925 | 0.3918 |
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| 0.0254 | 20.0 | 200 | 0.9375 | 0.3874 |
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| 0.0254 | 21.0 | 210 | 0.0006 | 1.0 |
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### Framework versions
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runs/May19_10-10-33_b28bd9924877/events.out.tfevents.1716113468.b28bd9924877.34.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7b7ead70a5fd4d6a6356134e132c7413c9387e6795c8a1cd8c8c4e9178303b2
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size 411
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