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speecht5_finetuned_sample
Kishor798/speecht5_finetuned_sample
speecht5_finetuned_sample 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
- Nov 7, 2024
- Updated
- Nov 8, 2024
- SHA
- 08a428ef
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_sample
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: 0.6517
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 |
|---|---|---|---|
| 0.581 | 88.8889 | 100 | 0.6059 |
| 0.4879 | 177.7778 | 200 | 0.5648 |
| 0.4272 | 266.6667 | 300 | 0.5928 |
| 0.3992 | 355.5556 | 400 | 0.6150 |
| 0.3642 | 444.4444 | 500 | 0.5903 |
| 0.349 | 533.3333 | 600 | 0.6436 |
| 0.3298 | 622.2222 | 700 | 0.6391 |
| 0.3178 | 711.1111 | 800 | 0.6306 |
| 0.3041 | 800.0 | 900 | 0.6405 |
| 0.2981 | 888.8889 | 1000 | 0.6490 |
| 0.2913 | 977.7778 | 1100 | 0.6502 |
| 0.2846 | 1066.6667 | 1200 | 0.6444 |
| 0.2873 | 1155.5556 | 1300 | 0.6636 |
| 0.2857 | 1244.4444 | 1400 | 0.6504 |
| 0.2839 | 1333.3333 | 1500 | 0.6517 |
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
- Nov 7, 2024
- Updated
- Nov 8, 2024