wav2vec2-xlsr-53-espeak-cv-ft-evn4-ntsema-colab

This model is a fine-tuned version of ntsema/wav2vec2-xlsr-53-espeak-cv-ft-sah2-ntsema-colab on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 2.0821
• Wer: 0.9833

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• 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
4.3115	6.15	400	1.6416	0.9867
0.9147	12.3	800	1.6538	0.9867
0.5301	18.46	1200	1.8461	0.98
0.2865	24.61	1600	2.0821	0.9833

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2