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

Loss: 0.4031

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: 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
0.4596	6.9965	1000	0.4262
0.4407	13.9895	2000	0.4097
0.4333	20.9825	3000	0.4029
0.4405	27.9754	4000	0.4031

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1

Chithekitale/PhD_tts_updated

Chichewa TTS_final

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Chithekitale/
PhD_tts_updated