voicecommand-german-medium

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0060
• Wer: 0.9390

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: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4615	1.0476	33	0.0203	1.7214
0.0121	2.0952	66	0.0113	0.9390
0.0043	3.1429	99	0.0060	0.9390

Framework versions

• Transformers 4.43.3
• Pytorch 2.4.0+cu124
• Datasets 2.20.0
• Tokenizers 0.19.1