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speecht5_finetuned_common_voice_be
KoRiF/speecht5_finetuned_common_voice_be
speecht5_finetuned_common_voice_be is a text-to-speech model from KoRiF. 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
- Jul 18, 2023
- Updated
- Jul 21, 2023
- SHA
- 4860b248
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 Belarusian Speaker
This model is a fine-tuned version of microsoft/speecht5_tts on the Common Voice [Belarusian] dataset. It achieves the following results on the evaluation set:
- Loss: 0.6249
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8333 | 0.32 | 100 | 0.7151 |
| 0.7477 | 0.64 | 200 | 0.6609 |
| 0.7104 | 0.96 | 300 | 0.6311 |
| 0.69 | 1.28 | 400 | 0.6275 |
| 0.6658 | 1.6 | 500 | 0.6249 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- be
- Created
- Jul 18, 2023
- Updated
- Jul 21, 2023