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speecht5_tts_commonvoice_fa
Farbod710/speecht5_tts_commonvoice_fa
speecht5_tts_commonvoice_fa is a text-to-audio model from Farbod710. 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
- Feb 12, 2024
- Updated
- Feb 12, 2024
- SHA
- 5874bb7b
Base models
Datasets
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_tts_commonvoice_fa
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4695
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: 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6592 | 1.59 | 250 | 0.5820 |
| 0.642 | 3.18 | 500 | 0.5502 |
| 0.5755 | 4.78 | 750 | 0.5452 |
| 0.5743 | 6.37 | 1000 | 0.5236 |
| 0.5542 | 7.96 | 1250 | 0.5206 |
| 0.5543 | 9.55 | 1500 | 0.5192 |
| 0.5266 | 11.15 | 1750 | 0.5011 |
| 0.5234 | 12.74 | 2000 | 0.4945 |
| 0.5139 | 14.33 | 2250 | 0.4873 |
| 0.5143 | 15.92 | 2500 | 0.4797 |
| 0.5051 | 17.52 | 2750 | 0.4811 |
| 0.4873 | 19.11 | 3000 | 0.4724 |
| 0.4922 | 20.7 | 3250 | 0.4681 |
| 0.4864 | 22.29 | 3500 | 0.4695 |
| 0.4769 | 23.89 | 3750 | 0.4702 |
| 0.4691 | 25.48 | 4000 | 0.4695 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Feb 12, 2024
- Updated
- Feb 12, 2024