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elsayedissa/
wav2vec2-xls-r-300m-ar

Name: wav2vec2-xls-r-300m-ar
Availability: InStock

automatic-speech-recognition

arabic_speech_corpus

generated_from_trainer

apache-2.0

endpoints_compatible

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wav2vec2-xls-r-300m-ar

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

Loss: 0.3212
Wer: 0.0636

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0793	8.85	1000	0.1626	0.0786
0.0396	17.7	2000	0.2199	0.0807
0.0285	26.55	3000	0.2289	0.0694
0.021	35.4	4000	0.2662	0.0722
0.0177	44.25	5000	0.2459	0.0744
0.0155	53.1	6000	0.2689	0.0679
0.0149	61.95	7000	0.2760	0.0717
0.0074	70.8	8000	0.3004	0.0680
0.0058	79.65	9000	0.3113	0.0650
0.0033	88.5	10000	0.3212	0.0636

Framework versions

Transformers 4.28.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.11.1.dev0
Tokenizers 0.13.2

elsayedissa/wav2vec2-xls-r-300m-ar

wav2vec2-xls-r-300m-ar

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

elsayedissa/
wav2vec2-xls-r-300m-ar