This model is a fine-tuned version of microsoft/speecht5_tts on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4979

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
0.5633	2.4272	1000	0.5130
0.5464	4.8544	2000	0.5075
0.5336	7.2816	3000	0.4988
0.5334	9.7087	4000	0.4979

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

NMutangana/speecht5_tts_common_voice_kinyarwanda

SpeechT5 TTS Kinyarwanda

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NMutangana/
speecht5_tts_common_voice_kinyarwanda