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SaladSlayer00
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twin_matcher_beta

Image Classification
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Training in progress epoch 18

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  1. .gitattributes +2 -0
  2. README.md +5 -4
  3. checkpoints/checkpoint +2 -2
  4. checkpoints/model-0018.ckpt.data-00000-of-00001 +3 -0
  5. checkpoints/model-0018.ckpt.index +3 -0
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  7. logs/validation/events.out.tfevents.1704568385.87b9e22aca65.2413.1.v2 +2 -2
  8. tf_model.h5 +1 -1
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  checkpoints/model-0016.ckpt.index filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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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: 0.4539
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- - Validation Loss: 1.2958
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- - Validation Accuracy: 0.6681
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- - Epoch: 17
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  ## Model description
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@@ -62,6 +62,7 @@ The following hyperparameters were used during training:
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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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  | 0.4539 | 1.2958 | 0.6681 | 17 |
 
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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: 0.3655
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+ - Validation Loss: 1.2470
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+ - Validation Accuracy: 0.6715
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+ - Epoch: 18
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  ## Model description
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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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  | 0.4539 | 1.2958 | 0.6681 | 17 |
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+ | 0.3655 | 1.2470 | 0.6715 | 18 |
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  ### Framework versions
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