metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: data2vec-large-uk
    results: []

data2vec-large-uk

This model is a fine-tuned version of facebook/data2vec-audio-large-960h on the common_voice dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3472
eval_wer: 0.3410
eval_cer: 0.0832
eval_runtime: 231.0008
eval_samples_per_second: 25.108
eval_steps_per_second: 3.139
epoch: 33.06
step: 20400

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 100
mixed_precision_training: Native AMP

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 1.18.3
Tokenizers 0.12.1