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burakyldrm/
wav2vec2-burak-v2.4-large

Name: wav2vec2-burak-v2.4-large
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-burak-v2.4-large

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

Loss: 0.6419
Wer: 0.4358

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8354	3.51	400	3.0971	1.0
1.4155	7.02	800	0.6770	0.6790
0.4583	10.52	1200	0.6025	0.5591
0.3014	14.03	1600	0.6563	0.5150
0.2231	17.54	2000	0.6393	0.4892
0.1738	21.05	2400	0.6653	0.4677
0.1451	24.56	2800	0.6167	0.4428
0.1277	28.07	3200	0.6419	0.4358

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

burakyldrm/wav2vec2-burak-v2.4-large

wav2vec2-burak-v2.4-large

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

burakyldrm/
wav2vec2-burak-v2.4-large