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speecht5_finetuned_tesi-tts
feddypaga/speecht5_finetuned_tesi-tts
speecht5_finetuned_tesi-tts is a machine learning model from feddypaga. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Aug 7, 2025
- Updated
- Aug 7, 2025
- SHA
- 98e50062
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_tesi-tts
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: 0.3792
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: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4766 | 1.4898 | 100 | 0.4251 |
| 0.4481 | 2.9795 | 200 | 0.4044 |
| 0.4275 | 4.4693 | 300 | 0.3908 |
| 0.4156 | 5.9590 | 400 | 0.3834 |
| 0.411 | 7.4488 | 500 | 0.3792 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- speecht5
- License
- mit
- Created
- Aug 7, 2025
- Updated
- Aug 7, 2025