metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: wav2vec2-large-xls-r-300m-dansk-CV-80
    results: []

wav2vec2-large-xls-r-300m-dansk-CV-80

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m for Danish, using the mozilla-foundation/common_voice_8_0 dataset.

It achieves the following results on the evaluation set:

eval_loss: 0.6394
eval_wer: 0.3682
eval_runtime: 104.0466
eval_samples_per_second: 13.359
eval_steps_per_second: 1.672
epoch: 21.28
step: 2000

Model description

ASR Danish model

Intended uses & limitations

More information needed

Training and evaluation data

Danish subset of mozilla-foundation/common_voice_8_0

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.16.1
Pytorch 1.10.0+cu111
Datasets 1.18.2
Tokenizers 0.11.0