metadata
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: []
HuBERT Large Gender Classification
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2366
- Accuracy: 0.9429
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 |
|---|---|---|---|---|
| 0.6175 | 0.0053 | 100 | 0.5800 | 0.7297 |
| 0.5478 | 0.0105 | 200 | 0.5069 | 0.7297 |
| 0.3762 | 0.0158 | 300 | 0.3544 | 0.7713 |
| 0.2103 | 0.0211 | 400 | 0.2486 | 0.9394 |
| 0.2034 | 0.0263 | 500 | 0.2366 | 0.9429 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1