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

<!-- 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. -->

# Chest-X-Ray-Roco-Clip

This model is a fine-tuned version of [clip_roberta](https://huggingface.co/clip_roberta) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3863

## 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3868        | 0.4619 | 100  | 1.3863          |
| 1.3867        | 0.9238 | 200  | 1.3863          |
| 1.3862        | 1.3857 | 300  | 1.3863          |
| 1.3872        | 1.8476 | 400  | 1.3863          |
| 1.3869        | 2.3095 | 500  | 1.3863          |
| 1.3861        | 2.7714 | 600  | 1.3863          |
| 1.3862        | 3.2333 | 700  | 1.3863          |
| 1.3863        | 3.6952 | 800  | 1.3863          |
| 1.3865        | 4.1570 | 900  | 1.3863          |
| 1.3864        | 4.6189 | 1000 | 1.3863          |


### Framework versions

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