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hubert-large-gender-auto

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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: 0.0547
  • Accuracy: 0.9861

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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0553 0.0527 1000 0.0683 0.9845
0.0548 0.1053 2000 0.0709 0.9842
0.0237 0.1580 3000 0.0547 0.9861

Framework versions

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