kpalczewski-displate commited on
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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - coco_dataset_script
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+ model-index:
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+ - name: clip-clip-finetuned-v2
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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-clip-finetuned-v2
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+
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+ This model was trained from scratch on the coco_dataset_script 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: 64
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+ - eval_batch_size: 64
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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: 3.0
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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 4.39.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "./models/clip-clip",
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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": 512,
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+ "text_config": {
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+ "bos_token_id": 0,
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+ "dropout": 0.0,
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+ "eos_token_id": 2,
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+ "model_type": "clip_text_model"
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.0.dev0",
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+ "vision_config": {
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+ "dropout": 0.0,
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+ "model_type": "clip_vision_model"
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+ }
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+ }
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