---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: idefics2-8b-path_vqa-finetuned-tutorial
  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. -->

# idefics2-8b-path_vqa-finetuned-tutorial

This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0688

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0779        | 0.16  | 10   | 3.3574          |
| 2.0221        | 0.32  | 20   | 1.2580          |
| 1.0361        | 0.48  | 30   | 1.0355          |
| 0.7289        | 0.64  | 40   | 1.0705          |
| 0.6758        | 0.8   | 50   | 1.0496          |
| 0.5689        | 0.96  | 60   | 1.0893          |
| 0.4038        | 1.12  | 70   | 1.1230          |
| 0.3773        | 1.28  | 80   | 1.0498          |
| 0.3227        | 1.44  | 90   | 1.1104          |
| 0.2934        | 1.6   | 100  | 1.0788          |
| 0.2968        | 1.76  | 110  | 1.0667          |
| 0.3099        | 1.92  | 120  | 1.0688          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1