---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-base-224-22k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Validated_Balanced_Raw_Data_model_boost6
  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. -->

# Validated_Balanced_Raw_Data_model_boost6

This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the Logiroad/Validated_Balanced_Raw_Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1222
- Accuracy: 0.5377

## 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: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20.0
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3904        | 1.0   | 80   | 1.3300          | 0.3679   |
| 1.3255        | 2.0   | 160  | 1.2853          | 0.3868   |
| 1.2779        | 3.0   | 240  | 1.2196          | 0.4340   |
| 1.2267        | 4.0   | 320  | 1.1914          | 0.4528   |
| 1.1508        | 5.0   | 400  | 1.1553          | 0.5047   |
| 1.0964        | 6.0   | 480  | 1.2145          | 0.4764   |
| 1.0742        | 7.0   | 560  | 1.1814          | 0.5      |
| 1.0315        | 8.0   | 640  | 1.1222          | 0.5377   |
| 1.0283        | 9.0   | 720  | 1.1561          | 0.5189   |
| 0.999         | 10.0  | 800  | 1.1940          | 0.5094   |
| 0.961         | 11.0  | 880  | 1.1440          | 0.5047   |
| 0.9484        | 12.0  | 960  | 1.1716          | 0.5      |
| 0.8779        | 13.0  | 1040 | 1.1549          | 0.5142   |
| 0.8613        | 14.0  | 1120 | 1.1524          | 0.5283   |
| 0.8572        | 15.0  | 1200 | 1.1644          | 0.5189   |
| 0.8605        | 16.0  | 1280 | 1.1536          | 0.5236   |
| 0.8268        | 17.0  | 1360 | 1.1561          | 0.5283   |
| 0.8171        | 18.0  | 1440 | 1.1589          | 0.5283   |
| 0.8242        | 19.0  | 1520 | 1.1594          | 0.5236   |
| 0.7743        | 20.0  | 1600 | 1.1596          | 0.5283   |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.1.0
- Tokenizers 0.20.3