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Hindi_SpeechT5_finetuned
Saurabh1207/Hindi_SpeechT5_finetuned
Hindi_SpeechT5_finetuned is a text-to-audio model from Saurabh1207. 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 24, 2024
- Updated
- Oct 24, 2024
- SHA
- 643487c7
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. -->
Hindi_SpeechT5_finetuned
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4484
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 |
|---|---|---|---|
| 0.6781 | 0.3442 | 100 | 0.5528 |
| 0.5834 | 0.6885 | 200 | 0.5470 |
| 0.554 | 1.0327 | 300 | 0.5090 |
| 0.5397 | 1.3769 | 400 | 0.5025 |
| 0.526 | 1.7212 | 500 | 0.4872 |
| 0.5224 | 2.0654 | 600 | 0.4846 |
| 0.515 | 2.4096 | 700 | 0.4754 |
| 0.5047 | 2.7539 | 800 | 0.4703 |
| 0.5014 | 3.0981 | 900 | 0.4689 |
| 0.4946 | 3.4423 | 1000 | 0.4601 |
| 0.4912 | 3.7866 | 1100 | 0.4584 |
| 0.4847 | 4.1308 | 1200 | 0.4554 |
| 0.4824 | 4.4750 | 1300 | 0.4514 |
| 0.4831 | 4.8193 | 1400 | 0.4501 |
| 0.4723 | 5.1635 | 1500 | 0.4484 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024