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speecht5_tts_common_voice_tr
deryauysal/speecht5_tts_common_voice_tr
speecht5_tts_common_voice_tr is a text-to-speech model from deryauysal. Use it when you need text read aloud. 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-Speech
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Sep 1, 2023
- Updated
- Oct 11, 2023
- SHA
- ca1a937d
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 Turkish
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: 0.4685
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4698 | 111.11 | 1000 | 0.4679 |
| 0.4328 | 222.22 | 2000 | 0.4647 |
| 0.4163 | 333.33 | 3000 | 0.4660 |
| 0.4327 | 444.44 | 4000 | 0.4685 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- tr
- Created
- Sep 1, 2023
- Updated
- Oct 11, 2023