---
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Main_Fashion-convnext
  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. -->

# Main_Fashion-convnext

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1758
- Accuracy: 0.6381

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.0951        | 0.9630  | 13   | 2.0201          | 0.2251   |
| 1.9821        | 2.0     | 27   | 1.8213          | 0.4037   |
| 1.7245        | 2.9630  | 40   | 1.6774          | 0.4640   |
| 1.6117        | 4.0     | 54   | 1.5480          | 0.5452   |
| 1.5           | 4.9630  | 67   | 1.4506          | 0.5615   |
| 1.3393        | 6.0     | 81   | 1.3610          | 0.5963   |
| 1.2579        | 6.9630  | 94   | 1.2995          | 0.6172   |
| 1.2405        | 8.0     | 108  | 1.2480          | 0.6288   |
| 1.1479        | 8.9630  | 121  | 1.2127          | 0.6357   |
| 1.1005        | 10.0    | 135  | 1.1898          | 0.6381   |
| 1.0989        | 10.9630 | 148  | 1.1778          | 0.6381   |
| 1.0816        | 11.5556 | 156  | 1.1758          | 0.6381   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1