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

Loss: 0.4559

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5165	7.37	1000	0.4733
0.4942	14.73	2000	0.4604
0.4867	22.1	3000	0.4569
0.4882	29.47	4000	0.4559

Framework versions

Transformers 4.35.2
Pytorch 2.1.2
Datasets 2.14.7
Tokenizers 0.15.0

magus4450/speecht5_finetuned_voxpopuli_nl

speecht5_finetuned_voxpopuli_nl

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

magus4450/
speecht5_finetuned_voxpopuli_nl