tensorgirl
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Upload AugViTForImageClassification
Browse files- README.md +2 -1
- config.json +5 -3
- tf_model.h5 +2 -2
README.md
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---
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tags:
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- generated_from_keras_callback
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model-index:
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@@ -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
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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":
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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"
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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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
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