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

# idbwtiny

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: 0.1267
- Accuracy: 0.9569

## 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: 150
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3871        | 1.0   | 2010  | 0.3021          | 0.8674   |
| 0.3403        | 2.0   | 4020  | 0.2442          | 0.8967   |
| 0.3058        | 3.0   | 6030  | 0.2269          | 0.9052   |
| 0.2722        | 4.0   | 8040  | 0.2008          | 0.9197   |
| 0.2496        | 5.0   | 10050 | 0.1841          | 0.9272   |
| 0.2219        | 6.0   | 12060 | 0.1706          | 0.9353   |
| 0.198         | 7.0   | 14070 | 0.1478          | 0.9452   |
| 0.1812        | 8.0   | 16080 | 0.1413          | 0.9503   |
| 0.1632        | 9.0   | 18090 | 0.1301          | 0.9553   |
| 0.1576        | 10.0  | 20100 | 0.1267          | 0.9569   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2