---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: idefics2_ft_augmented_dataset
  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_ft_augmented_dataset

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: 0.1871

## 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: 2.5e-05
- 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
- lr_scheduler_warmup_steps: 25
- training_steps: 5000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6338        | 0.0234 | 100  | 0.6474          |
| 0.5748        | 0.0468 | 200  | 0.5899          |
| 0.4678        | 0.0702 | 300  | 0.5603          |
| 0.428         | 0.0936 | 400  | 0.5249          |
| 0.3798        | 0.1170 | 500  | 0.4984          |
| 0.3665        | 0.1404 | 600  | 0.4733          |
| 0.4406        | 0.1637 | 700  | 0.4510          |
| 0.4723        | 0.1871 | 800  | 0.4245          |
| 0.4807        | 0.2105 | 900  | 0.4158          |
| 0.4196        | 0.2339 | 1000 | 0.3971          |
| 0.3443        | 0.2573 | 1100 | 0.3738          |
| 0.4133        | 0.2807 | 1200 | 0.3631          |
| 0.2838        | 0.3041 | 1300 | 0.3334          |
| 0.4134        | 0.3275 | 1400 | 0.3264          |
| 0.2838        | 0.3509 | 1500 | 0.3125          |
| 0.275         | 0.3743 | 1600 | 0.2944          |
| 0.4141        | 0.3977 | 1700 | 0.2839          |
| 0.2498        | 0.4211 | 1800 | 0.2749          |
| 0.2817        | 0.4444 | 1900 | 0.2606          |
| 0.2899        | 0.4678 | 2000 | 0.2526          |
| 0.2695        | 0.4912 | 2100 | 0.2521          |
| 0.2619        | 0.5146 | 2200 | 0.2424          |
| 0.2238        | 0.5380 | 2300 | 0.2373          |
| 0.3049        | 0.5614 | 2400 | 0.2301          |
| 0.1308        | 0.5848 | 2500 | 0.2292          |
| 0.1936        | 0.6082 | 2600 | 0.2190          |
| 0.2479        | 0.6316 | 2700 | 0.2191          |
| 0.1575        | 0.6550 | 2800 | 0.2165          |
| 0.193         | 0.6784 | 2900 | 0.2107          |
| 0.2526        | 0.7018 | 3000 | 0.2114          |
| 0.1574        | 0.7251 | 3100 | 0.2087          |
| 0.1989        | 0.7485 | 3200 | 0.2051          |
| 0.1761        | 0.7719 | 3300 | 0.2013          |
| 0.2223        | 0.7953 | 3400 | 0.1996          |
| 0.2127        | 0.8187 | 3500 | 0.1966          |
| 0.2477        | 0.8421 | 3600 | 0.1923          |
| 0.1931        | 0.8655 | 3700 | 0.1908          |
| 0.182         | 0.8889 | 3800 | 0.1888          |
| 0.1693        | 0.9123 | 3900 | 0.1878          |
| 0.1346        | 0.9357 | 4000 | 0.1853          |
| 0.1484        | 0.9591 | 4100 | 0.1849          |
| 0.1217        | 0.9825 | 4200 | 0.1838          |
| 0.0669        | 1.0058 | 4300 | 0.1844          |
| 0.1292        | 1.0292 | 4400 | 0.1877          |
| 0.1106        | 1.0526 | 4500 | 0.1876          |
| 0.0828        | 1.0760 | 4600 | 0.1875          |
| 0.0485        | 1.0994 | 4700 | 0.1871          |
| 0.0624        | 1.1228 | 4800 | 0.1874          |
| 0.0895        | 1.1462 | 4900 | 0.1871          |
| 0.1           | 1.1696 | 5000 | 0.1871          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1