Downloads · 30 days
7
2% of all-time downloads
speecht5_tts_lj_speech2
JDhillon/speecht5_tts_lj_speech2
speecht5_tts_lj_speech2 is a text-to-audio model from JDhillon. 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
316
Public
Parameters
144M
6.4 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
- Apr 27, 2024
- Updated
- Apr 27, 2024
- SHA
- e9336bcb
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 TTS LJ_Speech
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: 0.3659
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4059 | 2.7137 | 1000 | 0.3729 |
| 0.3927 | 5.4274 | 2000 | 0.3707 |
| 0.3982 | 8.1411 | 3000 | 0.3696 |
| 0.4006 | 10.8548 | 4000 | 0.3682 |
| 0.3869 | 13.5685 | 5000 | 0.3669 |
| 0.395 | 16.2822 | 6000 | 0.3669 |
| 0.4012 | 18.9959 | 7000 | 0.3666 |
| 0.3858 | 21.7096 | 8000 | 0.3662 |
| 0.3864 | 24.4233 | 9000 | 0.3658 |
| 0.3982 | 27.1370 | 10000 | 0.3659 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- en
- Created
- Apr 27, 2024
- Updated
- Apr 27, 2024