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zhichao158/
wav2vec2-xls-r-common_voice-tr-ft

Name: wav2vec2-xls-r-common_voice-tr-ft
Availability: InStock

automatic-speech-recognition

common_voice

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-xls-r-common_voice-tr-ft

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: 0.3736
Wer: 0.2930
Cer: 0.0708

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: 12
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 96
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

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.5462	13.51	500	0.4423	0.4807	0.1188
0.342	27.03	1000	0.3781	0.3954	0.0967
0.2272	40.54	1500	0.3816	0.3595	0.0893
0.1805	54.05	2000	0.3943	0.3487	0.0854
0.1318	67.57	2500	0.3818	0.3262	0.0801
0.1213	81.08	3000	0.3777	0.3113	0.0758
0.0639	94.59	3500	0.3788	0.2953	0.0716

Framework versions

Transformers 4.14.1
Pytorch 1.8.0
Datasets 1.17.0
Tokenizers 0.10.3

zhichao158/wav2vec2-xls-r-common_voice-tr-ft

wav2vec2-xls-r-common_voice-tr-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zhichao158/
wav2vec2-xls-r-common_voice-tr-ft