Sourabh2 / speecht5_finetuned_model

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 2
Model's Last Updated: July 06 2023
text-to-audio

Introduction of speecht5_finetuned_model

Model Details of speecht5_finetuned_model

speecht5_finetuned_model

This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4585
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
Training results
Training Loss Epoch Step Validation Loss
0.5238 4.3 1000 0.4791
0.4994 8.61 2000 0.4679
0.4914 12.91 3000 0.4599
0.4869 17.21 4000 0.4585
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of Sourabh2 speecht5_finetuned_model on huggingface.co

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speecht5_finetuned_model huggingface.co

speecht5_finetuned_model huggingface.co is an AI model on huggingface.co that provides speecht5_finetuned_model's model effect (), which can be used instantly with this Sourabh2 speecht5_finetuned_model model. huggingface.co supports a free trial of the speecht5_finetuned_model model, and also provides paid use of the speecht5_finetuned_model. Support call speecht5_finetuned_model model through api, including Node.js, Python, http.

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