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Browse files- README.md +48 -0
- config.json +23 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/sam-vit-base
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tags:
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- generated_from_keras_callback
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model-index:
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- name: sam-finetuned-breast-cancer-segmentation
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# sam-finetuned-breast-cancer-segmentation
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This model is a fine-tuned version of [facebook/sam-vit-base](https://huggingface.co/facebook/sam-vit-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: None
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- training_precision: float32
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### Training results
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### Framework versions
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- Transformers 4.44.0.dev0
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- TensorFlow 2.15.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "facebook/sam-vit-base",
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"architectures": [
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"SamModel"
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],
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"initializer_range": 0.02,
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"mask_decoder_config": {
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"model_type": ""
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},
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"model_type": "sam",
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"prompt_encoder_config": {
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"model_type": ""
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},
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"torch_dtype": "float32",
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"transformers_version": "4.44.0.dev0",
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"vision_config": {
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"dropout": 0.0,
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"initializer_factor": 1.0,
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"intermediate_size": 6144,
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"model_type": "",
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"projection_dim": 512
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}
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:33ed6ae17b6dfc63b82e37525160505123caf58c78e82a2d6a0c939bc8b5d2fa
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size 375292856
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