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fahadqazi
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Sindhi-TTS

Text-to-Audio
Transformers
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Safetensors
speecht5
Generated from Trainer
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End of training

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Files changed (4) hide show
  1. README.md +4 -11
  2. model.safetensors +1 -1
  3. runs/Nov16_12-12-00_cf085afb5910/events.out.tfevents.1731759128.cf085afb5910.609.0 +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  license: mit
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- base_model: Sana1207/Hindi_SpeechT5_finetuned
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,14 +14,7 @@ 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 [Sana1207/Hindi_SpeechT5_finetuned](https://huggingface.co/Sana1207/Hindi_SpeechT5_finetuned) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 0.4860
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- - eval_runtime: 91.8769
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- - eval_samples_per_second: 19.396
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- - eval_steps_per_second: 9.698
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- - epoch: 15.9830
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- - step: 4000
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  ## Model description
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@@ -49,12 +42,12 @@ The following hyperparameters were used during training:
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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: 5000
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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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- - Pytorch 2.5.0+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
 
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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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  # 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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  ## Model description
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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: 2000
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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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+ - 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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