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

Loss: 0.5069

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: 16000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.556	18.4332	4000	0.5184
0.5182	36.8664	8000	0.5033
0.5071	55.2995	12000	0.5057
0.5039	73.7327	16000	0.5069

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu118
Datasets 2.19.2
Tokenizers 0.19.1

roshna-omer/speecht5_tts_krd-ckb_CV17.0

SpeechT5 TTS Kurdish - Sorani

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

roshna-omer/
speecht5_tts_krd-ckb_CV17.0