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speecht5_finetuned_emirhan_tr
rahafvii/speecht5_finetuned_emirhan_tr
speecht5_finetuned_emirhan_tr is a text-to-audio model from rahafvii. 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
- Sep 16, 2024
- Updated
- Sep 16, 2024
- SHA
- 7a88e0b0
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. -->
speecht5_finetuned_emirhan_tr
This model is a fine-tuned version of MohsenABG/speecht5_finetuned_emirhan_tr on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5274
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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6208 | 0.3972 | 100 | 0.6033 |
| 0.6239 | 0.7944 | 200 | 0.5985 |
| 0.616 | 1.1917 | 300 | 0.5867 |
| 0.6057 | 1.5889 | 400 | 0.5781 |
| 0.5971 | 1.9861 | 500 | 0.5718 |
| 0.5975 | 2.3833 | 600 | 0.5701 |
| 0.5979 | 2.7805 | 700 | 0.5746 |
| 0.5913 | 3.1778 | 800 | 0.5651 |
| 0.5943 | 3.5750 | 900 | 0.5609 |
| 0.5924 | 3.9722 | 1000 | 0.5610 |
| 0.5879 | 4.3694 | 1100 | 0.5578 |
| 0.5768 | 4.7666 | 1200 | 0.5505 |
| 0.5816 | 5.1639 | 1300 | 0.5511 |
| 0.5779 | 5.5611 | 1400 | 0.5518 |
| 0.5773 | 5.9583 | 1500 | 0.5456 |
| 0.5729 | 6.3555 | 1600 | 0.5479 |
| 0.5656 | 6.7527 | 1700 | 0.5459 |
| 0.5724 | 7.1500 | 1800 | 0.5402 |
| 0.5769 | 7.5472 | 1900 | 0.5366 |
| 0.5622 | 7.9444 | 2000 | 0.5389 |
| 0.5569 | 8.3416 | 2100 | 0.5390 |
| 0.5626 | 8.7388 | 2200 | 0.5358 |
| 0.5602 | 9.1360 | 2300 | 0.5372 |
| 0.5533 | 9.5333 | 2400 | 0.5326 |
| 0.5515 | 9.9305 | 2500 | 0.5325 |
| 0.5495 | 10.3277 | 2600 | 0.5328 |
| 0.5456 | 10.7249 | 2700 | 0.5300 |
| 0.5413 | 11.1221 | 2800 | 0.5312 |
| 0.5468 | 11.5194 | 2900 | 0.5290 |
| 0.5386 | 11.9166 | 3000 | 0.5274 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024