---
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: nan

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7449        | 0.18  | 25   | 3.3985          |
| 2.0448        | 0.36  | 50   | 1.6004          |
| 0.7728        | 0.54  | 75   | 0.5974          |
| 0.5519        | 0.73  | 100  | 0.5353          |
| 0.5128        | 0.91  | 125  | nan             |
| 6.5038        | 1.09  | 150  | nan             |
| 8.2169        | 1.27  | 175  | nan             |
| 3.1474        | 1.45  | 200  | nan             |
| 3.2837        | 1.63  | 225  | nan             |
| 2.7581        | 1.81  | 250  | nan             |
| 6.01          | 2.0   | 275  | nan             |
| 5.9971        | 2.18  | 300  | nan             |
| 6.5173        | 2.36  | 325  | nan             |
| 10.7043       | 2.54  | 350  | nan             |
| 2.5312        | 2.72  | 375  | nan             |
| 3.013         | 2.9   | 400  | nan             |


### Framework versions

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