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CarmelaFinianos
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ArabicTTS

Text-to-Audio
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speecht5
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End of training

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  1. README.md +9 -20
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5481
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  ## Model description
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@@ -44,31 +44,20 @@ 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: 900
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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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- | 0.6582 | 3.7736 | 50 | 0.5892 |
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- | 0.603 | 7.5472 | 100 | 0.5603 |
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- | 0.5828 | 11.3208 | 150 | 0.5545 |
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- | 0.566 | 15.0943 | 200 | 0.5418 |
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- | 0.5504 | 18.8679 | 250 | 0.5393 |
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- | 0.5379 | 22.6415 | 300 | 0.5357 |
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- | 0.534 | 26.4151 | 350 | 0.5347 |
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- | 0.5226 | 30.1887 | 400 | 0.5352 |
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- | 0.5159 | 33.9623 | 450 | 0.5335 |
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- | 0.5058 | 37.7358 | 500 | 0.5350 |
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- | 0.5048 | 41.5094 | 550 | 0.5356 |
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- | 0.4994 | 45.2830 | 600 | 0.5367 |
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- | 0.4939 | 49.0566 | 650 | 0.5370 |
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- | 0.4923 | 52.8302 | 700 | 0.5366 |
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- | 0.488 | 56.6038 | 750 | 0.5397 |
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- | 0.4841 | 60.3774 | 800 | 0.5401 |
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- | 0.4834 | 64.1509 | 850 | 0.5490 |
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- | 0.4794 | 67.9245 | 900 | 0.5481 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5791
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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: 700
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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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+ | 0.6455 | 6.9565 | 100 | 0.6248 |
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+ | 0.6067 | 13.9130 | 200 | 0.5949 |
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+ | 0.5847 | 20.8696 | 300 | 0.5851 |
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+ | 0.5713 | 27.8261 | 400 | 0.5806 |
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+ | 0.5597 | 34.7826 | 500 | 0.5779 |
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+ | 0.5525 | 41.7391 | 600 | 0.5832 |
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+ | 0.5511 | 48.6957 | 700 | 0.5791 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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