This model is a fine-tuned version of microsoft/speecht5_tts on the DTU54DL/common-accent dataset. It achieves the following results on the evaluation set:

Loss: 0.4884

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5484	5.6180	1000	0.5067
0.5304	11.2360	2000	0.4926
0.5346	16.8539	3000	0.4876
0.5235	22.4719	4000	0.4884

Framework versions

Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

Scav6411/speecht5_tts_voxpopuli_nl

speecht5_tts_voxpopuli_nl

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Scav6411/
speecht5_tts_voxpopuli_nl