---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: convnext-tiny-224-afinaopalcaxarro
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8623853211009175
---

<!-- 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-afinaopalcaxarro

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7981
- Accuracy: 0.8624

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 8    | 2.2682          | 0.3383   |
| 2.3684        | 2.0   | 16   | 1.9344          | 0.6869   |
| 2.0258        | 3.0   | 24   | 1.6364          | 0.7901   |
| 1.6828        | 4.0   | 32   | 1.3840          | 0.8165   |
| 1.3866        | 5.0   | 40   | 1.1854          | 0.8222   |
| 1.3866        | 6.0   | 48   | 1.0353          | 0.8337   |
| 1.1679        | 7.0   | 56   | 0.9255          | 0.8521   |
| 1.021         | 8.0   | 64   | 0.8538          | 0.8567   |
| 0.9338        | 9.0   | 72   | 0.8123          | 0.8612   |
| 0.8718        | 10.0  | 80   | 0.7981          | 0.8624   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1