---
license: apache-2.0
base_model: facebook/convnextv2-tiny-1k-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnextv2-tiny-1k-224-finetuned-hand_class
  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. -->

# convnextv2-tiny-1k-224-finetuned-hand_class

This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5260
- Accuracy: 0.7739

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.663         | 1.0   | 14   | 0.5878          | 0.6809   |
| 0.5594        | 2.0   | 28   | 0.5597          | 0.7337   |
| 0.5364        | 3.0   | 42   | 0.5466          | 0.7412   |
| 0.545         | 4.0   | 56   | 0.5489          | 0.7462   |
| 0.5267        | 5.0   | 70   | 0.5484          | 0.7462   |
| 0.506         | 6.0   | 84   | 0.5320          | 0.7663   |
| 0.5196        | 7.0   | 98   | 0.5328          | 0.7638   |
| 0.4933        | 8.0   | 112  | 0.5293          | 0.7663   |
| 0.4809        | 9.0   | 126  | 0.5280          | 0.7739   |
| 0.4836        | 10.0  | 140  | 0.5260          | 0.7739   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3