tensorgirl commited on
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f7efafc
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1 Parent(s): 1947a8e

Upload AugViTForImageClassification

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  1. README.md +2 -1
  2. config.json +5 -3
  3. tf_model.h5 +2 -2
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -11,7 +12,7 @@ probably proofread and complete it, then remove this comment. -->
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  # TFaugvit
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- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  ---
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+ base_model: tensorgirl/TFaugvit
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  # TFaugvit
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+ This model is a fine-tuned version of [tensorgirl/TFaugvit](https://huggingface.co/tensorgirl/TFaugvit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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config.json CHANGED
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  {
 
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  "architectures": [
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  "gViTForImageClassification"
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  ],
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  "auto_map": {
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- "AutoConfig": "augvit_config.AugViTConfig",
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- "TFAutoModelForImageClassification": "augvit_model.AugViTForImageClassification"
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  },
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- "depth": 1,
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  "dim": 128,
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  "dropout": 0.1,
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  "emb_dropout": 0.1,
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  "image_size": 224,
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  "mlp_dim": 256,
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  "model_type": "augvit",
 
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  "num_classes": 1000,
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  "patch_size": 32,
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  "transformers_version": "4.33.2"
 
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  {
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+ "_name_or_path": "tensorgirl/TFaugvit",
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  "architectures": [
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  "gViTForImageClassification"
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  ],
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  "auto_map": {
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+ "AutoConfig": "tensorgirl/TFaugvit--augvit_config.AugViTConfig",
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+ "TFAutoModelForImageClassification": "tensorgirl/TFaugvit--augvit_model.AugViTForImageClassification"
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  },
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+ "depth": 2,
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  "dim": 128,
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  "dropout": 0.1,
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  "emb_dropout": 0.1,
 
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  "image_size": 224,
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  "mlp_dim": 256,
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  "model_type": "augvit",
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+ "num_channels": 3,
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  "num_classes": 1000,
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  "patch_size": 32,
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  "transformers_version": "4.33.2"
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 15272944
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:86ff8464586623c5271d9ee5a55a2918d1f4a25ee41bc63db7b1dc353167080f
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+ size 7194552