uz-speecht5-own-voice – AI Model by Aynur27 | AlphaNeural AI

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Aynur27/
uz-speecht5-own-voice

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microsoft/speecht5_tts

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uz-speecht5-own-voice

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

Loss: 0.6530

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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50
training_steps: 800
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.6507	33.3810	100	0.7001
4.6170	66.7619	200	0.6547
4.1807	100.0	300	0.6334
4.1335	133.3810	400	0.6524
4.1555	166.7619	500	0.6574
4.0374	200.0	600	0.6506
4.0467	233.3810	700	0.6602
3.9265	266.7619	800	0.6530

Framework versions

Transformers 5.15.0.dev0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2