---
license: other
base_model: HuggingFaceM4/idefics-9b-instruct
tags:
- generated_from_trainer
model-index:
- name: idefics-9b-instruct-ft-instruct-compact
  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. -->

# idefics-9b-instruct-ft-instruct-compact

This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5312

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9471        | 0.18  | 25   | 3.9005          |
| 3.513         | 0.36  | 50   | 3.4236          |
| 2.8952        | 0.54  | 75   | 2.5822          |
| 1.9127        | 0.73  | 100  | 1.7289          |
| 1.2521        | 0.91  | 125  | 1.0073          |
| 0.7576        | 1.09  | 150  | 0.7103          |
| 0.6537        | 1.27  | 175  | 0.6171          |
| 0.5969        | 1.45  | 200  | 0.5845          |
| 0.5778        | 1.63  | 225  | 0.5681          |
| 0.5663        | 1.82  | 250  | 0.5559          |
| 0.558         | 2.0   | 275  | 0.5471          |
| 0.5595        | 2.18  | 300  | 0.5409          |
| 0.5417        | 2.36  | 325  | 0.5367          |
| 0.5422        | 2.54  | 350  | 0.5341          |
| 0.54          | 2.72  | 375  | 0.5321          |
| 0.5474        | 2.91  | 400  | 0.5312          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0