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  1. README.md +26 -0
  2. config.json +23 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model:
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+ - openai/clip-vit-large-patch14
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+ datasets:
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+ - tanganke/sun397
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+ metrics:
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+ - accuracy
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+ ---
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+
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+ # Model Card
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+
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+ ## Model Details
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+
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+ - Architecture: ViT-Large with patch size 14
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+ - Training Data: SUN397 dataset
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+
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+ ## Training Details
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+
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+ Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=32).
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+ Only the vision encoder is fine-tuned.
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+
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+ ## Evaluation Results
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+
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+ - pre-trained: 0.6830110549926758
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+ - fine-tuned: 0.8275973796844482
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+
config.json ADDED
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+ {
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+ "_name_or_path": "results/temp/",
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+ "architectures": [
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+ "CLIPVisionModel"
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+ ],
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+ "attention_dropout": 0.0,
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+ "dropout": 0.0,
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+ "hidden_act": "quick_gelu",
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+ "hidden_size": 1024,
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+ "image_size": 224,
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+ "initializer_factor": 1.0,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "layer_norm_eps": 1e-05,
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+ "model_type": "clip_vision_model",
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+ "num_attention_heads": 16,
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+ "num_channels": 3,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.1"
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+ }
model.safetensors ADDED
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+ size 1212766896