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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: 0.2896 |
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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: 7e-05 |
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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: 100 |
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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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| 0.3035 | 2.5409 | 100 | 0.3027 | |
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| 0.2999 | 5.0943 | 200 | 0.2988 | |
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| 0.3062 | 7.6352 | 300 | 0.2993 | |
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| 0.2989 | 10.1887 | 400 | 0.2965 | |
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| 0.2979 | 12.7296 | 500 | 0.3003 | |
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| 0.2961 | 15.2830 | 600 | 0.2938 | |
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| 0.2956 | 17.8239 | 700 | 0.2940 | |
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| 0.2976 | 20.3774 | 800 | 0.2939 | |
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| 0.2937 | 22.9182 | 900 | 0.2913 | |
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| 0.3006 | 25.4717 | 1000 | 0.2896 | |
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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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