---
tags:
- generated_from_trainer
base_model: clip_roberta
datasets:
- imagefolder
model-index:
- name: Roco-Clip
  results: []
---

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

This model is a fine-tuned version of [clip_roberta](https://huggingface.co/clip_roberta) on the imagefolder 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: 4
- eval_batch_size: 4
- seed: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 5

### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1