wav2vec2-base-timit-demo

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4578
• Wer: 0.3117

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2306	2.01	500	0.4478	0.3130
0.1803	4.02	1000	0.4578	0.3117

Framework versions

• Transformers 4.17.0
• Pytorch 2.1.2+cu121
• Datasets 1.18.4
• Tokenizers 0.20.0