---
license: apache-2.0
base_model: facebook/convnext-large-384-22k-1k
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: convnext-large-384-22k-1k-Kontur-competition
  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-384-22k-1k-Kontur-competition

This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://huggingface.co/facebook/convnext-large-384-22k-1k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0020

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0003        | 1.0   | 717  | 0.0073          |
| 0.0035        | 2.0   | 1434 | 0.0050          |
| 0.0           | 3.0   | 2151 | 0.0020          |
| 0.0           | 4.0   | 2869 | 0.0000          |
| 0.0           | 5.0   | 3585 | 0.0020          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2