---
library_name: transformers
base_model: openai/clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: CLIP
  results: []
---

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# CLIP

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.
It achieves the following results on the evaluation set:
- eval_loss: 0.1492
- eval_runtime: 526.0225
- eval_samples_per_second: 10.614
- eval_steps_per_second: 0.663
- epoch: 1.0
- step: 1396

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.46.0
- Pytorch 2.6.0+cu126
- Datasets 2.19.0
- Tokenizers 0.20.1