---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnext-large-224-attempt-2253
  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-large-224-attempt-2253

This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1280
- Accuracy: 0.9493

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4734        | 0.99  | 33   | 0.3361          | 0.9302   |
| 0.1529        | 1.98  | 66   | 0.1393          | 0.9450   |
| 0.1179        | 2.98  | 99   | 0.1280          | 0.9493   |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3