---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-qlora-float16-idefics2-8b-indiana
  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-indiana

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: 0.3401

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.4248        | 0.1408 | 41   | 0.7825          |
| 0.7397        | 0.2817 | 82   | 0.6691          |
| 0.6407        | 0.4225 | 123  | 0.6101          |
| 0.606         | 0.5634 | 164  | 0.5650          |
| 0.575         | 0.7042 | 205  | 0.5273          |
| 0.5301        | 0.8451 | 246  | 0.4916          |
| 0.4834        | 0.9859 | 287  | 0.4677          |
| 0.3982        | 1.1268 | 328  | 0.4448          |
| 0.366         | 1.2676 | 369  | 0.4266          |
| 0.3493        | 1.4085 | 410  | 0.4068          |
| 0.3478        | 1.5493 | 451  | 0.3865          |
| 0.3173        | 1.6901 | 492  | 0.3681          |
| 0.3036        | 1.8310 | 533  | 0.3515          |
| 0.2917        | 1.9718 | 574  | 0.3401          |


### Framework versions

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