This model is a fine-tuned version of facebook/wav2vec2-xls-r-100m on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Loss: 3.4113
Wer: 1.0
Cer: 1.0

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: 50.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.1315	9.09	500	3.3832	1.0	1.0
3.1163	18.18	1000	3.4252	1.0	1.0
3.121	27.27	1500	3.4051	1.0	1.0
3.1273	36.36	2000	3.4345	1.0	1.0
3.2257	45.45	2500	3.4097	1.0	1.0

Framework versions

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

patrickvonplaten/wav2vec2-xls-r-100m-common_voice-tr-ft

wav2vec2-xls-r-100m-common_voice-tr-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

patrickvonplaten/
wav2vec2-xls-r-100m-common_voice-tr-ft