wav2vec2-large-xlsr-53-Bangla-Common_Voice

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: 0.6172
• Wer: 0.6577

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: 0.001
• 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.922	4.57	800	0.7379	0.8157
0.5136	9.14	1600	0.6155	0.7056
0.2759	13.71	2400	0.6172	0.6577

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.1+cu116
• Datasets 2.11.0
• Tokenizers 0.13.2