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: nan
- Accuracy: 0.7297
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: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0625 | 0.0527 | 1000 | 0.0503 | 0.9897 |
| 0.0757 | 0.1053 | 2000 | 0.0616 | 0.9897 |
| 0.0231 | 0.1580 | 3000 | 0.0574 | 0.9913 |
| 0.0439 | 0.2107 | 4000 | nan | 0.7342 |
| 0.0 | 0.2633 | 5000 | nan | 0.7297 |
| 0.0 | 0.3160 | 6000 | nan | 0.7297 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1