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Training in progress epoch 16
Browse files- .gitattributes +2 -0
- README.md +5 -4
- checkpoints/checkpoint +2 -2
- checkpoints/model-0016.ckpt.data-00000-of-00001 +3 -0
- checkpoints/model-0016.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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@@ -63,3 +63,5 @@ checkpoints/model-0014.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
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checkpoints/model-0014.ckpt.index filter=lfs diff=lfs merge=lfs -text
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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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| 0.9105 | 1.4840 | 0.6238 | 13 |
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| 0.7595 | 1.4117 | 0.6426 | 14 |
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| 0.6390 | 1.3601 | 0.6582 | 15 |
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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: 0.5328
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- Validation Loss: 1.3283
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- Validation Accuracy: 0.6548
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- Epoch: 16
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## Model description
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| 0.9105 | 1.4840 | 0.6238 | 13 |
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| 0.7595 | 1.4117 | 0.6426 | 14 |
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| 0.6390 | 1.3601 | 0.6582 | 15 |
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| 0.5328 | 1.3283 | 0.6548 | 16 |
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### Framework versions
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checkpoints/checkpoint
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checkpoints/model-0016.ckpt.data-00000-of-00001
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