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tts_speecht5-assamese

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metadata
language:
  - as
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - google/fluers
model-index:
  - name: SpeechT5 TTS Assamese
    results: []

SpeechT5 TTS Assamese

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

  • Loss: 0.3991

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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.4812 30.7692 200 0.4176
0.4038 61.5385 400 0.4009
0.3862 92.3077 600 0.3885
0.3433 123.0769 800 0.3843
0.3252 153.8462 1000 0.3991

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1