---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: convnext-tiny-224-finetuned
  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. -->

# convnext-tiny-224-finetuned

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9672
- Accuracy: 0.6208
- Precision: 0.5826
- Recall: 0.6208
- F1: 0.5945

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.0428        | 0.9846 | 32   | 1.0478          | 0.6015   | 0.5745    | 0.6015 | 0.5679 |
| 0.9978        | 2.0    | 65   | 1.0032          | 0.6054   | 0.5653    | 0.6054 | 0.5762 |
| 0.9449        | 2.9846 | 97   | 0.9914          | 0.6035   | 0.5685    | 0.6035 | 0.5763 |
| 0.9432        | 4.0    | 130  | 0.9739          | 0.6141   | 0.5748    | 0.6141 | 0.5875 |
| 0.9196        | 4.9231 | 160  | 0.9672          | 0.6208   | 0.5826    | 0.6208 | 0.5945 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1