metadata

tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_3_0
  - generated_from_trainer
model-index:
  - name: xls-r-300m-tr-phoneme
    results: []

xls-r-300m-tr-phoneme

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the mozilla-foundation/common_voice_3_0 - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.4378
Per: 0.09936

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: 0.000075
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
total_eval_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: 150
mixed_precision_training: Native AMP

Training results

See Training Metrics Tab.

Framework versions

Transformers 4.15.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.16.2.dev0
Tokenizers 0.10.3