---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: HuBERT Large Gender Classification
  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. -->

# HuBERT Large Gender Classification

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co./facebook/hubert-large-ls960-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1876
- Accuracy: 0.9482

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6989        | 0.0113 | 100  | 0.6802          | 0.5707   |
| 0.6133        | 0.0225 | 200  | 0.6446          | 0.5707   |
| 0.4204        | 0.0338 | 300  | 0.3291          | 0.9234   |
| 0.4199        | 0.0451 | 400  | 0.2247          | 0.9365   |
| 0.0641        | 0.0563 | 500  | 0.1876          | 0.9482   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1