Downloads · 30 days
19
6% of all-time downloads
speecht5_finetuned_voxpopuli_fr
cvnberk/speecht5_finetuned_voxpopuli_fr
speecht5_finetuned_voxpopuli_fr is a text-to-speech model from cvnberk. 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
345
Public
Repo size
12.1 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
- Jul 31, 2023
- Updated
- Aug 3, 2023
- SHA
- 46813c36
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_fr
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4697
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: 5e-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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.765 | 0.23 | 50 | 0.6575 |
| 0.687 | 0.47 | 100 | 0.6106 |
| 0.6423 | 0.7 | 150 | 0.5548 |
| 0.5792 | 0.94 | 200 | 0.5300 |
| 0.5658 | 1.17 | 250 | 0.5186 |
| 0.5558 | 1.41 | 300 | 0.5078 |
| 0.5484 | 1.64 | 350 | 0.5029 |
| 0.5427 | 1.87 | 400 | 0.4981 |
| 0.5349 | 2.11 | 450 | 0.4921 |
| 0.524 | 2.34 | 500 | 0.4906 |
| 0.5243 | 2.58 | 550 | 0.4857 |
| 0.5238 | 2.81 | 600 | 0.4835 |
| 0.5104 | 3.05 | 650 | 0.4796 |
| 0.516 | 3.28 | 700 | 0.4769 |
| 0.5084 | 3.51 | 750 | 0.4763 |
| 0.5029 | 3.75 | 800 | 0.4749 |
| 0.5015 | 3.98 | 850 | 0.4725 |
| 0.5045 | 4.22 | 900 | 0.4716 |
| 0.503 | 4.45 | 950 | 0.4706 |
| 0.5013 | 4.69 | 1000 | 0.4697 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Jul 31, 2023
- Updated
- Aug 3, 2023