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SaladSlayer00
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twin_matcher_beta

Image Classification
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resnet
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Training in progress epoch 15

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  1. .gitattributes +2 -0
  2. README.md +5 -4
  3. checkpoints/checkpoint +2 -2
  4. checkpoints/model-0015.ckpt.data-00000-of-00001 +3 -0
  5. checkpoints/model-0015.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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@@ -61,3 +61,5 @@ checkpoints/model-0013.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
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  checkpoints/model-0013.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: 0.7595
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- - Validation Loss: 1.4117
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- - Validation Accuracy: 0.6426
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- - Epoch: 14
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  ## Model description
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@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
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  | 1.0552 | 1.5872 | 0.6093 | 12 |
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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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  ### 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: 0.6390
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+ - Validation Loss: 1.3601
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+ - Validation Accuracy: 0.6582
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+ - Epoch: 15
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  ## Model description
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  | 1.0552 | 1.5872 | 0.6093 | 12 |
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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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