Downloads · 30 days
10
4% of all-time downloads
speecht5_finetuned_voxpopuli_nl_after_ceb
mikhail-panzo/speecht5_finetuned_voxpopuli_nl_after_ceb
speecht5_finetuned_voxpopuli_nl_after_ceb is a text-to-audio model from mikhail-panzo. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
237
Public
Parameters
144M
4.6 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
- Model type
- speecht5
- Access
- Public
- Created
- Feb 6, 2024
- Updated
- Feb 21, 2024
- SHA
- ad6242f6
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_nl_after_ceb
This model is a fine-tuned version of mikhail-panzo/speecht5_finetuned_voxpopuli_nl on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3670
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0307 | 1000.0 | 1000 | 0.3340 |
| 0.0271 | 2000.0 | 2000 | 0.3644 |
| 0.0255 | 3000.0 | 3000 | 0.3460 |
| 0.0255 | 4000.0 | 4000 | 0.3670 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- Created
- Feb 6, 2024
- Updated
- Feb 21, 2024