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KGSAGAR
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speecht5_finetuned_voxpopuli_es

Text-to-Audio
Transformers
PyTorch
speecht5
Generated from Trainer
text-to-speech model
Inference Endpoints
Model card Files Community
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  ## Intended uses & limitations
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- (https://colab.research.google.com/drive/1NG4uTeW97wYRdzkjfWI4gONntxg9Y17S?usp=sharing)__Increase the training steps prameter and further train the model to improve model performance
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  ## Training and evaluation data
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  TrainOutput(global_step=25, training_loss=0.6927243232727051, metrics={'train_runtime': 8513.8366, 'train_samples_per_second': 0.094, 'train_steps_per_second': 0.003, 'total_flos': 116396101622592.0, 'train_loss': 0.6927243232727051, 'epoch': 0.11})
 
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  ## Intended uses & limitations
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+ (https://colab.research.google.com/drive/1NG4uTeW97wYRdzkjfWI4gONntxg9Y17S?usp=sharing)__ To enhance the model's performance, it is advisable to increase the training steps parameter and carry out further training.
 
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  ## Training and evaluation data
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  TrainOutput(global_step=25, training_loss=0.6927243232727051, metrics={'train_runtime': 8513.8366, 'train_samples_per_second': 0.094, 'train_steps_per_second': 0.003, 'total_flos': 116396101622592.0, 'train_loss': 0.6927243232727051, 'epoch': 0.11})