generated_from_trainer base_model:HuggingFaceM4/idefics-9b license:other region:us
---
license: other
base_model: HuggingFaceM4/idefics-9b
tags:
- generated_from_trainer
model-index:
- name: idefics-9b-dresses-gpt4
  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-dresses-gpt4

This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1806

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0769        | 0.03  | 20   | 0.4830          |
| 0.4488        | 0.06  | 40   | 0.3397          |
| 0.3575        | 0.09  | 60   | 0.3021          |
| 0.3208        | 0.12  | 80   | 0.2790          |
| 0.2909        | 0.14  | 100  | 0.2703          |
| 0.2829        | 0.17  | 120  | 0.2560          |
| 0.2949        | 0.2   | 140  | 0.2529          |
| 0.2667        | 0.23  | 160  | 0.2489          |
| 0.2647        | 0.26  | 180  | 0.2379          |
| 0.2678        | 0.29  | 200  | 0.2353          |
| 0.2624        | 0.32  | 220  | 0.2261          |
| 0.2446        | 0.35  | 240  | 0.2194          |
| 0.2557        | 0.38  | 260  | 0.2203          |
| 0.2497        | 0.41  | 280  | 0.2160          |
| 0.2454        | 0.43  | 300  | 0.2115          |
| 0.2397        | 0.46  | 320  | 0.2077          |
| 0.2507        | 0.49  | 340  | 0.2099          |
| 0.2379        | 0.52  | 360  | 0.2046          |
| 0.239         | 0.55  | 380  | 0.2112          |
| 0.2354        | 0.58  | 400  | 0.2060          |
| 0.2391        | 0.61  | 420  | 0.2047          |
| 0.2293        | 0.64  | 440  | 0.2060          |
| 0.2271        | 0.67  | 460  | 0.2034          |
| 0.2319        | 0.7   | 480  | 0.1990          |
| 0.2188        | 0.72  | 500  | 0.2021          |
| 0.2241        | 0.75  | 520  | 0.1987          |
| 0.2232        | 0.78  | 540  | 0.1966          |
| 0.2264        | 0.81  | 560  | 0.1948          |
| 0.2237        | 0.84  | 580  | 0.1944          |
| 0.2226        | 0.87  | 600  | 0.1936          |
| 0.219         | 0.9   | 620  | 0.1927          |
| 0.2314        | 0.93  | 640  | 0.1903          |
| 0.2173        | 0.96  | 660  | 0.1924          |
| 0.2126        | 0.99  | 680  | 0.1917          |
| 0.2032        | 1.01  | 700  | 0.1932          |
| 0.2012        | 1.04  | 720  | 0.1883          |
| 0.2058        | 1.07  | 740  | 0.1910          |
| 0.1918        | 1.1   | 760  | 0.1866          |
| 0.1948        | 1.13  | 780  | 0.1859          |
| 0.195         | 1.16  | 800  | 0.1847          |
| 0.1957        | 1.19  | 820  | 0.1861          |
| 0.2009        | 1.22  | 840  | 0.1856          |
| 0.1908        | 1.25  | 860  | 0.1838          |
| 0.2069        | 1.28  | 880  | 0.1827          |
| 0.1985        | 1.3   | 900  | 0.1817          |
| 0.1888        | 1.33  | 920  | 0.1821          |
| 0.189         | 1.36  | 940  | 0.1813          |
| 0.1951        | 1.39  | 960  | 0.1808          |
| 0.1889        | 1.42  | 980  | 0.1804          |
| 0.1853        | 1.45  | 1000 | 0.1806          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.14.1
