speecht5_finetuned_commonvoice_ru_translit

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SpeechT5 - Russian translit

This model is a fine-tuned version of microsoft/speecht5_tts on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4853

Model description

Input should be a russian text in transliterated form (use transliterate package). This is just a test for the hands-on excercise of HF Audio Course! Not intended for actual use!

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: 8
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 400
• training_steps: 2000

Training results

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3