reproductionguru/voicetest6

base

This model is a fine-tuned version of reproductionguru/voicetest6 on the tutorial Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5845
• Wer: 18.9294

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: 1e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2138	0.96	2000	0.4851	20.9147
0.1005	1.93	4000	0.5006	20.7187
0.029	2.89	6000	0.5342	19.6702
0.0092	3.85	8000	0.5682	19.0752
0.0029	4.82	10000	0.5845	18.9294

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0