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speecht5_tts_voxpopuli_nl
Liphos/speecht5_tts_voxpopuli_nl
speecht5_tts_voxpopuli_nl is a text-to-audio model from Liphos. 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. --
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Jan 24, 2024
- Updated
- Feb 10, 2024
- SHA
- 463560c6
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 NL
This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4728
- eval_runtime: 4.3194
- eval_samples_per_second: 191.232
- eval_steps_per_second: 24.078
- epoch: 1273.5
- step: 149000
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 150000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- nl
- Created
- Jan 24, 2024
- Updated
- Feb 10, 2024