This model is a fine-tuned version of microsoft/speecht5_tts on the Facebook VoxPopuli DE dataset. It achieves the following results on the evaluation set:

Loss: 0.4670

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: 4
eval_batch_size: 2
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
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5294	2.55	1000	0.4873
0.5078	5.09	2000	0.4737
0.5061	7.64	3000	0.4685
0.5085	10.19	4000	0.4670

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

JFuellem/speecht5_finetuned_voxpopuli_de

SpeechT5 finetuned with german VoxPopuli subset (13961) - JFuellem

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

JFuellem/
speecht5_finetuned_voxpopuli_de