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speecht5_tts_fleurs-sw-2 – AI Model by zhcheng | AlphaNeural AI

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zhcheng/
speecht5_tts_fleurs-sw-2

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generated_from_trainer

microsoft/speecht5_tts

endpoints_compatible

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SpeechT5 TTS sw tmp push tes

This model is a fine-tuned version of microsoft/speecht5_tts on the Fleurs dataset.

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.21.0
Tokenizers 0.19.1