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

Loss: 0.4231
Wer: 0.3104
Cer: 0.0737

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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

see under Training Metrics Tab.

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.15.2.dev0
Tokenizers 0.10.3

patrickvonplaten/wav2vec2-large-xlsr-53-common_voice-tr-ft

wav2vec2-large-xlsr-53-common_voice-tr-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

patrickvonplaten/
wav2vec2-large-xlsr-53-common_voice-tr-ft