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Circularmachines
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Batch_indexing_machine_ViT

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
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Circularmachines commited on
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2e16fae
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1 Parent(s): 360e8cb

Training in progress epoch 2

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  1. README.md +4 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.6367
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- - Train Accuracy: 0.6706
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- - Epoch: 1
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  ## Model description
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@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
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  |:----------:|:--------------:|:-----:|
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  | 0.6457 | 0.6543 | 0 |
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  | 0.6367 | 0.6706 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6343
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+ - Train Accuracy: 0.6728
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:--------------:|:-----:|
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  | 0.6457 | 0.6543 | 0 |
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  | 0.6367 | 0.6706 | 1 |
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+ | 0.6343 | 0.6728 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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  size 343469752
 
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