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TTS_speecht5_finetuned_voxpopuli_it
AltamashAhmed/TTS_speecht5_finetuned_voxpopuli_it
TTS_speecht5_finetuned_voxpopuli_it is a text-to-audio model from AltamashAhmed. 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. --
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- Model type
- speecht5
- Access
- Public
- Created
- Aug 31, 2023
- Updated
- Sep 1, 2023
- SHA
- 609784c3
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. -->
microsoft/speecht5_tts
This model is a fine-tuned version of SpeechT5 on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4873
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: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5472 | 6.13 | 1000 | 0.5091 |
| 0.5229 | 12.26 | 2000 | 0.4946 |
| 0.5122 | 18.39 | 3000 | 0.4898 |
| 0.5159 | 24.52 | 4000 | 0.4889 |
| 0.511 | 30.65 | 5000 | 0.4873 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- Languages
- it
- Created
- Aug 31, 2023
- Updated
- Sep 1, 2023