---
library_name: transformers
base_model: vinid/plip
tags:
- generated_from_trainer
datasets:
- coco_dataset_script
model-index:
- name: clip-roberta-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# clip-roberta-finetuned

This model is a fine-tuned version of [vinid/plip](https://huggingface.co/vinid/plip) on the coco_dataset_script dataset.

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.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: 3.0

### Training results



### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1