---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: convnext-small-224-leicester_binary
  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-small-224-leicester_binary

This model is a fine-tuned version of [facebook/convnext-small-224](https://huggingface.co/facebook/convnext-small-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2627
- F1: 0.8608

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 7    | 0.5187          | 0.8608 |
| 0.5904        | 2.0   | 14   | 0.4273          | 0.8608 |
| 0.3981        | 3.0   | 21   | 0.4115          | 0.8608 |
| 0.3981        | 4.0   | 28   | 0.4029          | 0.8608 |
| 0.3285        | 5.0   | 35   | 0.3402          | 0.8608 |
| 0.308         | 6.0   | 42   | 0.3138          | 0.8608 |
| 0.308         | 7.0   | 49   | 0.2912          | 0.8608 |
| 0.2952        | 8.0   | 56   | 0.2752          | 0.8608 |
| 0.2593        | 9.0   | 63   | 0.2657          | 0.8608 |
| 0.2568        | 10.0  | 70   | 0.2627          | 0.8608 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2