Downloads · 30 days
3
7% of all-time downloads
speecht5_finetuned_wolof_text_speech_2
Soulex95/speecht5_finetuned_wolof_text_speech_2
speecht5_finetuned_wolof_text_speech_2 is a text-to-audio model from Soulex95. 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. --
All-time downloads
41
Public
Parameters
144M
2.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors578 MB · 100%
At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Dec 3, 2024
- Updated
- Dec 5, 2024
- SHA
- ecc91902
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. -->
speecht5_finetuned_wolof_text_speech_2
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3084
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: 0.0001
- 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: 100
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3484 | 10.6809 | 1000 | 0.3243 |
| 0.3243 | 21.3618 | 2000 | 0.3130 |
| 0.3181 | 32.0427 | 3000 | 0.3127 |
| 0.3053 | 42.7236 | 4000 | 0.3099 |
| 0.2973 | 53.4045 | 5000 | 0.3069 |
| 0.2971 | 64.0854 | 6000 | 0.3091 |
| 0.2913 | 74.7664 | 7000 | 0.3058 |
| 0.2851 | 85.4473 | 8000 | 0.3077 |
| 0.284 | 96.1282 | 9000 | 0.3073 |
| 0.2809 | 106.8091 | 10000 | 0.3066 |
| 0.2796 | 117.4900 | 11000 | 0.3083 |
| 0.2747 | 128.1709 | 12000 | 0.3068 |
| 0.2767 | 138.8518 | 13000 | 0.3083 |
| 0.2738 | 149.5327 | 14000 | 0.3075 |
| 0.2748 | 160.2136 | 15000 | 0.3084 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Dec 3, 2024
- Updated
- Dec 5, 2024