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speecht5_finetuned – AI Model by mustafoyev202 | AlphaNeural AI
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speecht5_finetuned
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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
This model is a fine-tuned version of
microsoft/speecht5_tts
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.3355
eval_runtime: 5.4808
eval_samples_per_second: 40.87
eval_steps_per_second: 10.218
epoch: 559.5238
step: 35250
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: 5e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 300
training_steps: 100000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.52.3
Pytorch 2.7.0+cu118
Datasets 3.6.0
Tokenizers 0.21.1
