| ---
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| library_name: transformers
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| base_model: openai/clip-vit-base-patch16
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| tags:
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| - generated_from_trainer
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| model-index:
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| - name: CLIP
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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
|
| should probably proofread and complete it, then remove this comment. -->
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|
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| # CLIP
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| This model is a fine-tuned version of [openai/clip-vit-base-patch16](https://huggingface.co/openai/clip-vit-base-patch16) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - eval_loss: 0.1492
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| - eval_runtime: 526.0225
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| - eval_samples_per_second: 10.614
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| - eval_steps_per_second: 0.663
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| - epoch: 1.0
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| - step: 1396
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|
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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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|
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| ## Training and evaluation data
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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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| The following hyperparameters were used during training:
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| - learning_rate: 1e-05
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| - train_batch_size: 16
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| - eval_batch_size: 16
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| - seed: 42
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| - optimizer: Use 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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| - num_epochs: 5
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|
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| ### Framework versions
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| - Transformers 4.46.0
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| - Pytorch 2.6.0+cu126
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| - Datasets 2.19.0
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| - Tokenizers 0.20.1
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