metadata

license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
  - generated_from_trainer
datasets:
  - common_voice_15_0
model-index:
  - name: wav2vec2-xls-r-300m-br
    results: []

wav2vec2-xls-r-300m-br

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_15_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7860
eval_wer: 53.4231
eval_cer: 18.5292
eval_runtime: 67.3553
eval_samples_per_second: 32.618
eval_steps_per_second: 4.083
epoch: 32.68
step: 15000

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.1
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.15.2