---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-qlora-float16-idefics2-8b-midefics
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gm-qlora-float16-idefics2-8b-midefics

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: 0.6872

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 30
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.4399        | 0.2999 | 38   | 0.7745          |
| 0.8072        | 0.5998 | 76   | 0.7329          |
| 0.7577        | 0.8998 | 114  | 0.7067          |
| 0.6603        | 1.1997 | 152  | 0.7081          |
| 0.6099        | 1.4996 | 190  | 0.6960          |
| 0.6045        | 1.7995 | 228  | 0.6872          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.0.1
- Datasets 2.19.1
- Tokenizers 0.19.1