wav2vec2-xlsr-53-espeak-cv-ft-bak2-ntsema-colab

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

• Loss: inf
• Wer: 1.0778

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
1.1586	8.33	400	inf	1.0029
0.3107	16.66	800	inf	1.0202
0.1534	24.99	1200	inf	1.0778

Framework versions

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