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README.md
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---
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library_name: transformers
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base_model: openai/clip-vit-base-patch32
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tags:
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- generated_from_trainer
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model-index:
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- name: clip-ship-inspection
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results: []
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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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# clip-ship-inspection
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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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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- learning_rate: 1e-06
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 2.14.4
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- Tokenizers 0.21.1
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logs/events.out.tfevents.1748339373.9fafff2e621d.1327.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 5591
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