---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-large-224
tags:
- generated_from_trainer
metrics:
- recall
model-index:
- name: convnext-large-224-finetuned-dog-vs-cat
  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-finetuned-dog-vs-cat

This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3586
- Recall: 0.9783

## 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 | Recall |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.496         | 0.9954 | 164  | 0.4792          | 0.9201 |
| 0.3996        | 1.9970 | 329  | 0.3836          | 0.9765 |
| 0.373         | 2.9863 | 492  | 0.3586          | 0.9783 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1