---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir
  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. -->

# gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir

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: 1.6893

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0712        | 0.1529 | 50   | 1.4681          |
| 1.1045        | 0.3057 | 100  | 1.4921          |
| 1.1032        | 0.4586 | 150  | 1.4891          |
| 1.1182        | 0.6114 | 200  | 1.4860          |
| 1.3049        | 0.7643 | 250  | 1.4402          |
| 1.4376        | 0.9172 | 300  | 1.4256          |
| 1.2084        | 1.0700 | 350  | 1.5379          |
| 0.8495        | 1.2229 | 400  | 1.5216          |
| 0.8827        | 1.3757 | 450  | 1.5241          |
| 0.8995        | 1.5286 | 500  | 1.5431          |
| 0.8939        | 1.6814 | 550  | 1.5198          |
| 0.9077        | 1.8343 | 600  | 1.5106          |
| 0.9128        | 1.9872 | 650  | 1.5176          |
| 0.5954        | 2.1400 | 700  | 1.6831          |
| 0.569         | 2.2929 | 750  | 1.6783          |
| 0.5578        | 2.4457 | 800  | 1.6861          |
| 0.5624        | 2.5986 | 850  | 1.6859          |
| 0.5754        | 2.7515 | 900  | 1.6907          |
| 0.5582        | 2.9043 | 950  | 1.6893          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1