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auditi41/
Wav2Vec2LargeXlsr53-Bangla

Name: Wav2Vec2LargeXlsr53-Bangla
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Wav2Vec2LargeXlsr53-Bangla

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4997
Wer: 0.4970

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: 0.0004
train_batch_size: 24
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.488	1.43	250	3.5201	1.0
2.6655	2.85	500	0.9790	0.9119
0.8826	4.28	750	0.6536	0.7847
0.6013	5.71	1000	0.5361	0.7130
0.4814	7.14	1250	0.5032	0.6053
0.3934	8.57	1500	0.4729	0.5827
0.3394	10.0	1750	0.4785	0.6033
0.2916	11.43	2000	0.4887	0.5429
0.2637	12.85	2250	0.4672	0.5287
0.2299	14.28	2500	0.5027	0.5227
0.2056	15.71	2750	0.5079	0.5073
0.1915	17.14	3000	0.5002	0.4987
0.1772	18.57	3250	0.4930	0.5002
0.1739	20.0	3500	0.4997	0.4970

Framework versions

Transformers 4.24.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

auditi41/Wav2Vec2LargeXlsr53-Bangla

Wav2Vec2LargeXlsr53-Bangla

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

auditi41/
Wav2Vec2LargeXlsr53-Bangla