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akmalmasud96/
wav2vec2-xls-r-1b-ur

Name: wav2vec2-xls-r-1b-ur
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

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wav2vec2-xls-r-1b-ur

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: inf
Wer: 0.4885

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: 6
eval_batch_size: 6
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 12
total_eval_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 15.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.7368	0.48	300	inf	0.8191
1.8995	0.97	600	inf	0.7919
0.9144	1.45	900	inf	0.7805
1.166	1.94	1200	inf	0.7087
0.7972	2.42	1500	inf	0.6901
0.8604	2.9	1800	inf	0.6446
0.6569	3.39	2100	inf	0.6560
0.7267	3.87	2400	inf	0.6363
0.687	4.35	2700	inf	0.6343
0.7143	4.84	3000	inf	0.6176
0.5283	5.32	3300	inf	0.6084
0.6917	5.81	3600	inf	0.5942
0.5396	6.29	3900	inf	0.5988
0.5523	6.77	4200	inf	0.5600
0.3167	7.26	4500	inf	0.5648
0.3176	7.74	4800	inf	0.5424
0.3987	8.23	5100	inf	0.5440
0.3327	8.71	5400	inf	0.5316
0.1936	9.19	5700	inf	0.5285
0.4701	9.68	6000	inf	0.5207
0.3581	10.16	6300	inf	0.5176
0.4038	10.65	6600	inf	0.5259
0.2699	11.13	6900	inf	0.5226
0.2302	11.61	7200	inf	0.5181
0.3275	12.1	7500	inf	0.5202
0.3024	12.58	7800	inf	0.5307
0.2568	13.06	8100	inf	0.5243
0.1641	13.55	8400	inf	0.5073
0.2637	14.03	8700	inf	0.5015
0.1778	14.52	9000	inf	0.4892
0.0874	15.0	9300	inf	0.4885

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.0
Datasets 2.7.1
Tokenizers 0.13.2

akmalmasud96/wav2vec2-xls-r-1b-ur

wav2vec2-xls-r-1b-ur

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

akmalmasud96/
wav2vec2-xls-r-1b-ur