Model save
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README.md
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# clip-vit-large-patch14-finetuned-sofas
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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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It achieves the following results on the evaluation set:
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- Loss: 2.1527
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## Model description
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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:
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- eval_batch_size:
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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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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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# clip-vit-large-patch14-finetuned-sofas
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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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## Model description
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 1.13.1
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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model.safetensors
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