ClementXie's picture
Update README.md
11b038a
|
raw
history blame
1.65 kB
metadata
language:
  - ita
base_model: microsoft/speecht5-tts
tags:
  - text-to-speech
datasets:
  - facebook/multilingual_librispeech
model-index:
  - name: speecht5-finetuned-ita
    results: []

speecht5_tts-finetuned-multilingual_librispeech

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

  • Loss: 0.4342

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: 200
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
0.5378 7.75 250 0.4721
0.4872 15.5 500 0.4424
0.4766 23.26 750 0.4363
0.4784 31.01 1000 0.4342

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.14.3
  • Tokenizers 0.13.2