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  1. README.md +53 -0
  2. config.json +30 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: openai/clip-vit-large-patch14
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - imagefolder
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+ model-index:
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+ - name: clip-vit-large-patch14-finetuned-dresser-sofas
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # clip-vit-large-patch14-finetuned-dresser-sofas
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+
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+ This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on the imagefolder dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "openai/clip-vit-large-patch14",
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+ "architectures": [
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+ "CLIPModel"
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+ ],
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+ "initializer_factor": 1.0,
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+ "logit_scale_init_value": 2.6592,
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+ "model_type": "clip",
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+ "projection_dim": 768,
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+ "text_config": {
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+ "dropout": 0.0,
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+ "hidden_size": 768,
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+ "intermediate_size": 3072,
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+ "model_type": "clip_text_model",
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+ "num_attention_heads": 12,
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+ "projection_dim": 768
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.0.dev0",
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+ "vision_config": {
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+ "dropout": 0.0,
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+ "hidden_size": 1024,
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+ "intermediate_size": 4096,
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+ "model_type": "clip_vision_model",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "patch_size": 14,
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+ "projection_dim": 768
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+ }
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+ }
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