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SpeechT5_TTS_LJSpeech_Test – AI Model by InZaneManInAZuite | AlphaNeural AI
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SpeechT5_TTS_LJSpeech_Test
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
en
keithito/lj_speech
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 TTS LJSPeech English
This model is a fine-tuned version of
microsoft/speecht5_tts
on the LJSpeech dataset. It achieves the following results on the evaluation set:
Loss: 0.3753
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8718
2.7110
1000
0.3896
0.8247
5.4206
2000
0.3795
0.8214
8.1303
3000
0.3761
0.8261
10.8412
4000
0.3753
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
