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speecht5_finetuned_voxpopuli_ro_audio_course_v2
gigant/speecht5_finetuned_voxpopuli_ro_audio_course_v2
speecht5_finetuned_voxpopuli_ro_audio_course_v2 is a text-to-speech model from gigant. 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
- Aug 29, 2023
- Updated
- Sep 18, 2023
- SHA
- af8c2697
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 Romanian
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli ro dataset. It achieves the following results on the evaluation set:
- Loss: 0.4508
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: 8
- 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: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5438 | 4.22 | 400 | 0.4808 |
| 0.5009 | 8.43 | 800 | 0.4563 |
| 0.4886 | 12.65 | 1200 | 0.4508 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Aug 29, 2023
- Updated
- Sep 18, 2023