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--- |
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library_name: transformers |
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license: mit |
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base_model: fahadqazi/Sindhi-TTS |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Sindhi-TTS |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Sindhi-TTS |
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This model is a fine-tuned version of [fahadqazi/Sindhi-TTS](https://huggingface.co/fahadqazi/Sindhi-TTS) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4421 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 1000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4462 | 0.2042 | 100 | 0.4506 | |
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| 0.4456 | 0.4084 | 200 | 0.4482 | |
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| 0.4424 | 0.6126 | 300 | 0.4468 | |
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| 0.4501 | 0.8167 | 400 | 0.4429 | |
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| 0.4393 | 1.0219 | 500 | 0.4435 | |
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| 0.4518 | 1.2261 | 600 | 0.4439 | |
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| 0.4459 | 1.4303 | 700 | 0.4423 | |
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| 0.4404 | 1.6345 | 800 | 0.4430 | |
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| 0.4414 | 1.8387 | 900 | 0.4423 | |
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| 0.4396 | 2.0439 | 1000 | 0.4421 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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