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: 0.5126

Model description

It uses the speaker embedding model speechbrain/spkrec-xvect-voxceleb

Intended uses & limitations

More information needed

Training and evaluation data

test_size=0.15

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
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: 300
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.6118	1.94	300	0.5508
0.5729	3.89	600	0.5204
0.563	5.83	900	0.5126

Framework versions

Transformers 4.33.0
Pytorch 1.12.1+cu116
Datasets 2.14.4
Tokenizers 0.12.1

ruisp/speecht5_finetuned_voxpopuli_it

speecht5_tts-ft-voxpopuli-it