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# 2025-01-21-15-21-31-convnextv2-tiny-1k-224

This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0591
- Precision: 0.9799
- Recall: 0.9778
- F1: 0.9776
- Accuracy: 0.976
- Top1 Accuracy: 0.9778
- Error Rate: 0.0240

## 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: 8
- eval_batch_size: 8
- seed: 3407
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy | Top1 Accuracy | Error Rate |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|
| 0.7126        | 1.0   | 135  | 1.3514          | 0.7672    | 0.6593 | 0.6371 | 0.6614   | 0.6593        | 0.3386     |
| 0.4328        | 2.0   | 270  | 0.2026          | 0.9348    | 0.9333 | 0.9330 | 0.9347   | 0.9333        | 0.0653     |
| 0.3438        | 3.0   | 405  | 0.0591          | 0.9799    | 0.9778 | 0.9776 | 0.976    | 0.9778        | 0.0240     |
| 0.2082        | 4.0   | 540  | 0.0919          | 0.9725    | 0.9704 | 0.9703 | 0.9719   | 0.9704        | 0.0281     |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3

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