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speecht5_finetuned_VCTK_dataset_kavinda – AI Model by kavinda123321 | AlphaNeural AI
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speecht5_finetuned_VCTK_dataset_kavinda
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
vctk
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_VCTK_dataset_kavinda
This model is a fine-tuned version of
microsoft/speecht5_tts
on the vctk dataset. It achieves the following results on the evaluation set:
Loss: 0.4222
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: 0.0001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.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: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.5548
0.0403
100
0.5333
4.2726
0.0807
200
0.4616
3.8866
0.1210
300
0.4378
3.8037
0.1613
400
0.4314
3.7014
0.2017
500
0.4222
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
