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Training in progress epoch 23
Browse files- .gitattributes +2 -0
- README.md +5 -4
- checkpoints/checkpoint +2 -2
- checkpoints/model-0023.ckpt.data-00000-of-00001 +3 -0
- checkpoints/model-0023.ckpt.index +3 -0
- logs/train/events.out.tfevents.1704568236.87b9e22aca65.2413.0.v2 +2 -2
- logs/validation/events.out.tfevents.1704568385.87b9e22aca65.2413.1.v2 +2 -2
- tf_model.h5 +1 -1
.gitattributes
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@@ -77,3 +77,5 @@ checkpoints/model-0021.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
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README.md
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 1.
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- Validation Accuracy: 0.
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- Epoch:
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## Model description
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| 0.2597 | 1.2309 | 0.6792 | 20 |
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| 0.2269 | 1.2193 | 0.6881 | 21 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1553
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- Validation Loss: 1.1853
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- Validation Accuracy: 0.6970
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- Epoch: 23
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## Model description
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| 0.2597 | 1.2309 | 0.6792 | 20 |
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| 0.2269 | 1.2193 | 0.6881 | 21 |
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| 0.1750 | 1.2206 | 0.6781 | 22 |
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| 0.1553 | 1.1853 | 0.6970 | 23 |
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### Framework versions
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checkpoints/checkpoint
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checkpoints/model-0023.ckpt.data-00000-of-00001
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