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speecht5_finetuned_voxpopuli_lt
TieIncred/speecht5_finetuned_voxpopuli_lt
speecht5_finetuned_voxpopuli_lt is a text-to-speech model from TieIncred. 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 27, 2023
- Updated
- Jul 27, 2023
- SHA
- 70a67932
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_finetune_lt
This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/voxpopuli Lithuanian dataset. It achieves the following results on the evaluation set:
- Loss: 0.5231
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4776 | 153.85 | 1000 | 0.5186 |
| 0.444 | 307.69 | 2000 | 0.5202 |
| 0.4375 | 461.54 | 3000 | 0.5211 |
| 0.4353 | 615.38 | 4000 | 0.5231 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- lt
- Created
- Jul 27, 2023
- Updated
- Jul 27, 2023