---
license: other
base_model: HuggingFaceM4/idefics-9b
tags:
- generated_from_trainer
model-index:
- name: idefics-9b-ft-floco
  results: []
datasets:
- mrm8488/FloCo
language:
- en
- es
pipeline_tag: text-to-image
---

<!-- 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. -->

# IDEFICS (9B) fine-tuned on FloCo Dataset 

This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on **FloCo** dataset for **flowchart to code** downstream task.

It achieves the following results on the **test set**:
- Loss: 0.724

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.592         | 0.2   | 500  | 0.9356          |
| 0.5495        | 0.4   | 1000 | 1.0233          |
| 0.4865        | 0.59  | 1500 | 0.9564          |
| 0.4604        | 0.79  | 2000 | 0.9482          |
| 0.4551        | 0.99  | 2500 | 0.9146          |
| 0.3767        | 1.19  | 3000 | 0.9261          |
| 0.3894        | 1.39  | 3500 | 0.9387          |
| 0.3772        | 1.58  | 4000 | 0.9268          |
| 0.2707        | 1.78  | 4500 | 0.9420          |
| 0.3411        | 1.98  | 5000 | 0.9423          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3