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speecht5_Mehdi_Final_Model_2nd
MehdiAslam/speecht5_Mehdi_Final_Model_2nd
speecht5_Mehdi_Final_Model_2nd is a text-to-audio model from MehdiAslam. 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
- Jun 1, 2025
- Updated
- Jun 1, 2025
- SHA
- 754d5363
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_Mehdi_Final_Model_2nd
This model is a fine-tuned version of MehdiAslam/speecht5_Mehdi_Final_Model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4152
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3962 | 3.2924 | 250 | 0.4002 |
| 0.3925 | 6.5847 | 500 | 0.4058 |
| 0.3924 | 9.8771 | 750 | 0.4070 |
| 0.3851 | 13.1595 | 1000 | 0.4048 |
| 0.3803 | 16.4518 | 1250 | 0.4059 |
| 0.3829 | 19.7442 | 1500 | 0.4059 |
| 0.3774 | 23.0266 | 1750 | 0.4034 |
| 0.3723 | 26.3189 | 2000 | 0.4096 |
| 0.3706 | 29.6113 | 2250 | 0.4122 |
| 0.3789 | 32.9037 | 2500 | 0.4171 |
| 0.3688 | 36.1860 | 2750 | 0.4156 |
| 0.3721 | 39.4784 | 3000 | 0.4152 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Jun 1, 2025
- Updated
- Jun 1, 2025