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speecht5_finetuned_Kishor798
Kishor798/speecht5_finetuned_Kishor798
speecht5_finetuned_Kishor798 is a text-to-audio model from Kishor798. 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
- Oct 27, 2024
- Updated
- Nov 4, 2024
- SHA
- 7291c44e
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_Kishor798
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: 0.3929
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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5996 | 2.7586 | 100 | 0.5090 |
| 0.5137 | 5.5172 | 200 | 0.4987 |
| 0.4994 | 8.2759 | 300 | 0.4610 |
| 0.4647 | 11.0345 | 400 | 0.4576 |
| 0.4384 | 13.7931 | 500 | 0.4316 |
| 0.4215 | 16.5517 | 600 | 0.4129 |
| 0.419 | 19.3103 | 700 | 0.4168 |
| 0.3984 | 22.0690 | 800 | 0.4082 |
| 0.3897 | 24.8276 | 900 | 0.4014 |
| 0.3875 | 27.5862 | 1000 | 0.3985 |
| 0.3739 | 30.3448 | 1100 | 0.3959 |
| 0.3656 | 33.1034 | 1200 | 0.3991 |
| 0.3641 | 35.8621 | 1300 | 0.3904 |
| 0.3614 | 38.6207 | 1400 | 0.3901 |
| 0.3657 | 41.3793 | 1500 | 0.3929 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Oct 27, 2024
- Updated
- Nov 4, 2024