Downloads · 30 days
8
2% of all-time downloads
speecht5_finetuned_voxpopuli_v1
thiagoms7/speecht5_finetuned_voxpopuli_v1
speecht5_finetuned_voxpopuli_v1 is a text-to-speech model from thiagoms7. 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. --
All-time downloads
329
Public
Repo size
2.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin578 MB · 100%
At a glance
- Task
- Text-to-Speech
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023
- SHA
- a8a56d7b
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_finetuned_voxpopuli_v1
This model is a fine-tuned version of microsoft/speecht5_tts on the lj_speech dataset. It achieves the following results on the evaluation set:
- Loss: 0.3767
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 |
|---|---|---|---|
| 0.4264 | 2.71 | 1000 | 0.3889 |
| 0.4151 | 5.43 | 2000 | 0.3812 |
| 0.4131 | 8.14 | 3000 | 0.3773 |
| 0.4186 | 10.85 | 4000 | 0.3767 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- en
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023