---
license: other
base_model: HuggingFaceM4/idefics-9b
tags:
- generated_from_trainer
- lora
datasets:
- newyorker_caption_contest
model-index:
- name: 9b_idefics_lora-finetune_nycaptions
  results: []
language:
- en
---

<!-- 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. -->

# 9b_idefics_lora-finetune_nycaptions

This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on the newyorker_caption_contest dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4041

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 100
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0629        | 0.34  | 50   | 2.6949          |
| 1.2509        | 0.68  | 100  | 1.1454          |
| 1.0642        | 1.02  | 150  | 1.0957          |
| 1.0314        | 1.36  | 200  | 1.0888          |
| 0.9441        | 1.7   | 250  | 1.0925          |
| 0.9214        | 2.04  | 300  | 1.1144          |
| 0.8548        | 2.38  | 350  | 1.1244          |
| 0.8407        | 2.72  | 400  | 1.1548          |
| 0.724         | 3.06  | 450  | 1.1988          |
| 0.6888        | 3.4   | 500  | 1.2206          |
| 0.65          | 3.74  | 550  | 1.2622          |
| 0.5636        | 4.08  | 600  | 1.3041          |
| 0.4913        | 4.42  | 650  | 1.3550          |
| 0.5128        | 4.76  | 700  | 1.4041          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3