This model is a fine-tuned version of microsoft/speecht5_tts on the glaswegian_tts_v0.1.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4605

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: 1000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4699	35.2423	1000	0.4320
0.4246	70.4846	2000	0.4422
0.4115	105.7269	3000	0.4529
0.4127	140.9692	4000	0.4605

Framework versions

Transformers 4.44.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

divakaivan/glaswegian_tts

GlaswegianTTS v0.1.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

divakaivan/
glaswegian_tts