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

Loss: 0.4957

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: 5e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
0.5928	17.5487	1000	0.5506
0.4771	35.0885	2000	0.4972
0.4376	52.6372	3000	0.4875
0.4249	70.1770	4000	0.4957

Framework versions

Transformers 4.51.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

aljebra/speecht5_tts_nigerian_accent

SpeechT5 TTS Nigerian English

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aljebra/
speecht5_tts_nigerian_accent