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speecht5_keshandataset_sinhala4
kavinda123321/speecht5_keshandataset_sinhala4
speecht5_keshandataset_sinhala4 is a text-to-audio model from kavinda123321. 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
- May 29, 2025
- Updated
- May 29, 2025
- SHA
- 0ef458b3
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_keshandataset_sinhala4
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3713
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.517 | 0.6849 | 100 | 0.4540 |
| 0.4639 | 1.3699 | 200 | 0.4232 |
| 0.4485 | 2.0548 | 300 | 0.4083 |
| 0.4364 | 2.7397 | 400 | 0.3961 |
| 0.431 | 3.4247 | 500 | 0.3981 |
| 0.4242 | 4.1096 | 600 | 0.3922 |
| 0.4212 | 4.7945 | 700 | 0.3884 |
| 0.4138 | 5.4795 | 800 | 0.3846 |
| 0.4059 | 6.1644 | 900 | 0.3856 |
| 0.4042 | 6.8493 | 1000 | 0.3797 |
| 0.4009 | 7.5342 | 1100 | 0.3793 |
| 0.4015 | 8.2192 | 1200 | 0.3765 |
| 0.3992 | 8.9041 | 1300 | 0.3781 |
| 0.3952 | 9.5890 | 1400 | 0.3733 |
| 0.3935 | 10.2740 | 1500 | 0.3731 |
| 0.3942 | 10.9589 | 1600 | 0.3708 |
| 0.3904 | 11.6438 | 1700 | 0.3727 |
| 0.3848 | 12.3288 | 1800 | 0.3719 |
| 0.3864 | 13.0137 | 1900 | 0.3719 |
| 0.3872 | 13.6986 | 2000 | 0.3713 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.0
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- May 29, 2025
- Updated
- May 29, 2025