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uz_2301_4_tts – AI Model by Beehzod | AlphaNeural AI
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uz_2301_4_tts
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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uz_2301_4_tts
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: 0.4661
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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
num_epochs: 120
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3792
20.0
500
0.4262
0.3585
40.0
1000
0.4389
0.3556
60.0
1500
0.4512
0.3493
80.0
2000
0.4535
0.3465
100.0
2500
0.4634
0.3421
120.0
3000
0.4661
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
