---
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: dark-pond-236
  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. -->

# dark-pond-236

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: 0.1304
- Accuracy: 0.9611
- Precision: 0.9611
- Recall: 0.9611
- F1: 0.9611
- Roc Auc: 0.9990

## 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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 1.4605        | 1.0   | 161  | 0.4303          | 0.8863   | 0.8910    | 0.8863 | 0.8860 | 0.9934  |
| 0.6333        | 2.0   | 322  | 0.2051          | 0.9418   | 0.9423    | 0.9418 | 0.9418 | 0.9980  |
| 0.5099        | 3.0   | 483  | 0.1538          | 0.9539   | 0.9540    | 0.9539 | 0.9538 | 0.9987  |
| 0.4501        | 4.0   | 644  | 0.1353          | 0.9606   | 0.9605    | 0.9606 | 0.9605 | 0.9989  |
| 0.4281        | 5.0   | 805  | 0.1304          | 0.9611   | 0.9611    | 0.9611 | 0.9611 | 0.9990  |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0