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

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: 1.4709

## 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3811        | 0.0680 | 50   | 1.5852          |
| 1.3546        | 0.1359 | 100  | 1.5141          |
| 1.3012        | 0.2039 | 150  | 1.5571          |
| 1.3035        | 0.2718 | 200  | 1.5795          |
| 1.3397        | 0.3398 | 250  | 1.5959          |
| 1.3092        | 0.4077 | 300  | 1.5243          |
| 1.3247        | 0.4757 | 350  | 1.5147          |
| 1.3035        | 0.5436 | 400  | 1.4985          |
| 1.347         | 0.6116 | 450  | 1.5187          |
| 1.2792        | 0.6795 | 500  | 1.5179          |
| 1.2825        | 0.7475 | 550  | 1.5464          |
| 1.3046        | 0.8154 | 600  | 1.4881          |
| 1.2838        | 0.8834 | 650  | 1.4943          |
| 1.2639        | 0.9513 | 700  | 1.5134          |
| 1.2119        | 1.0193 | 750  | 1.5082          |
| 0.9573        | 1.0873 | 800  | 1.4866          |
| 0.9336        | 1.1552 | 850  | 1.4962          |
| 0.9816        | 1.2232 | 900  | 1.4968          |
| 0.9159        | 1.2911 | 950  | 1.4953          |
| 0.9604        | 1.3591 | 1000 | 1.5154          |
| 0.9581        | 1.4270 | 1050 | 1.4999          |
| 0.9403        | 1.4950 | 1100 | 1.5007          |
| 0.9735        | 1.5629 | 1150 | 1.4754          |
| 0.9606        | 1.6309 | 1200 | 1.4703          |
| 0.9313        | 1.6988 | 1250 | 1.4776          |
| 0.924         | 1.7668 | 1300 | 1.4747          |
| 0.9283        | 1.8347 | 1350 | 1.4719          |
| 0.928         | 1.9027 | 1400 | 1.4701          |
| 0.9281        | 1.9706 | 1450 | 1.4709          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1