This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.3938

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: 32
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: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7187	1.0	441	0.4533
0.4947	2.0	882	0.4243
0.4648	3.0	1323	0.4131
0.4468	4.0	1764	0.4062
0.4384	5.0	2205	0.4016
0.4362	6.0	2646	0.3982
0.4309	7.0	3087	0.3964
0.4317	8.0	3528	0.3959
0.427	9.0	3969	0.3939
0.424	10.0	4410	0.3938

Framework versions

Transformers 4.37.2
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.15.2

Oysiyl/speecht5_tts_common_voice_nl

speecht5_tts_common_voice_nl

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Oysiyl/
speecht5_tts_common_voice_nl