metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: weights
    results: []

wav2vec2-large-xlsr-53-gender-recognition-librispeech

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on Librispeech-clean-100 for gender recognition. It achieves the following results on the evaluation set:

Loss: 0.0061
F1: 0.9993

Training and evaluation data

The Librispeech-clean-100 dataset was used to train the model, with 70% of the data used for training, 10% for validation, and 20% for testing.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.002	1.0	1248	0.0061	0.9993

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Tokenizers 0.13.3