End of training
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README.md
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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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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps:
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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:
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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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| 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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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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- eval_loss: 0.4602
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- eval_runtime: 47.8291
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- eval_samples_per_second: 36.421
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- eval_steps_per_second: 18.211
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- epoch: 13.2653
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- step: 6500
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 2
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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: 10000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.46.2
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model.safetensors
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