m-ctc-t-german

This model is a fine-tuned version of speechbrain/m-ctc-t-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 14.0387
• Wer: 1.0000

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: 448
• eval_batch_size: 448
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 896
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.1883	1.0	511	3.5192	1.0
3.1097	2.0	1022	11.0713	1.0000
3.0541	3.0	1533	14.0387	1.0000

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.0
• Datasets 2.4.0
• Tokenizers 0.12.1