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speecht5_finetuned_librispeech_custom_8 – AI Model by andymcgullen | AlphaNeural AI
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andymcgullen
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speecht5_finetuned_librispeech_custom_8
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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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speecht5_finetuned_librispeech_custom_8
This model is a fine-tuned version of
microsoft/speecht5_tts
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3861
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 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: 250
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4439
12.1988
500
0.4007
0.4263
24.3975
1000
0.3916
0.4178
36.5963
1500
0.3863
0.4127
48.7950
2000
0.3861
Framework versions
Transformers 4.57.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
