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speecht5_tts_finetune_ro
AlexSolomon/speecht5_tts_finetune_ro
speecht5_tts_finetune_ro is a text-to-audio model from AlexSolomon. 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 19, 2024
- Updated
- Feb 19, 2024
- SHA
- e32e7ebb
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. -->
Romanian Colocvial Speech
This model is a fine-tuned version of IoanRazvan/speecht5_tts_voxpopuli_ro on the RomanianColocvialSpeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.4040
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4604 | 11.3 | 1000 | 0.4145 |
| 0.4338 | 22.6 | 2000 | 0.4036 |
| 0.4305 | 33.9 | 3000 | 0.4070 |
| 0.4252 | 45.2 | 4000 | 0.4040 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- nl
- Created
- Feb 19, 2024
- Updated
- Feb 19, 2024