---
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: 0.6739

## 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: 10
- total_train_batch_size: 20
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5316        | 0.2   | 38   | 0.7854          |
| 0.7931        | 0.4   | 76   | 0.7384          |
| 0.8019        | 0.6   | 114  | 0.7167          |
| 0.7487        | 0.8   | 152  | 0.6992          |
| 0.7416        | 1.0   | 190  | 0.6887          |
| 0.5919        | 1.2   | 228  | 0.6977          |
| 0.5819        | 1.4   | 266  | 0.6903          |
| 0.5948        | 1.6   | 304  | 0.6849          |
| 0.5858        | 1.8   | 342  | 0.6780          |
| 0.5539        | 2.0   | 380  | 0.6739          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1