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speecht5_ar_tn_1.0

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speecht5_ar_tn_1.0 / README.md
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metadata
language:
  - ar
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - Arbi-Houssem/datasetSTT-TTS
model-index:
  - name: SpeechT5 TTS Tunisie
    results: []

SpeechT5 TTS Tunisie

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

  • Loss: 0.9733

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: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 0.4167 10 0.9837
No log 0.8333 20 0.9733

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1