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Librarian Bot: Add base_model information to model (#1)
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metadata
license: mit
tags:
  - generated_from_trainer
  - text-to-speech
datasets:
  - facebook/voxpopuli
base_model: microsoft/speecht5_tts
model-index:
  - name: speecht5_tts-finetuned-voxpopuli-sk-v2
    results: []

speecht5_tts-finetuned-voxpopuli-sk-v2

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

  • Loss: 0.4354

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
0.4999 5.24 1000 0.4523
0.4763 10.47 2000 0.4408
0.4676 15.71 3000 0.4366
0.4665 20.94 4000 0.4354

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3