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speecht5_tts_mal
anirxudh/speecht5_tts_mal
speecht5_tts_mal is a text-to-audio model from anirxudh. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024
- SHA
- 1cd1b872
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
SpeechT5 hindi fine-tuning
This model is a fine-tuned version of microsoft/speecht5_tts on the CommonVoice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4338
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0775 | 7.5758 | 1000 | 0.4753 |
| 0.9791 | 15.1515 | 2000 | 0.4433 |
| 0.9368 | 22.7273 | 3000 | 0.4349 |
| 0.9392 | 30.3030 | 4000 | 0.4338 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- hi
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024