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End of training

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README.md CHANGED
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the train-bn dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5622
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  ## Model description
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@@ -49,34 +49,35 @@ 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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- - num_epochs: 3.0
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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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- | 6.2372 | 0.1803 | 100 | 0.7144 |
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- | 5.5988 | 0.3607 | 200 | 0.6772 |
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- | 5.4093 | 0.5410 | 300 | 0.6321 |
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- | 5.3172 | 0.7214 | 400 | 0.6306 |
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- | 5.1628 | 0.9017 | 500 | 0.6069 |
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- | 5.1058 | 1.0821 | 600 | 0.6035 |
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- | 5.0202 | 1.2624 | 700 | 0.5955 |
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- | 5.0445 | 1.4427 | 800 | 0.5878 |
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- | 4.9277 | 1.6231 | 900 | 0.5814 |
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- | 4.9124 | 1.8034 | 1000 | 0.5767 |
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- | 4.877 | 1.9838 | 1100 | 0.5764 |
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- | 4.8186 | 2.1641 | 1200 | 0.5672 |
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- | 4.7883 | 2.3445 | 1300 | 0.5692 |
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- | 4.7329 | 2.5248 | 1400 | 0.5635 |
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- | 4.8234 | 2.7051 | 1500 | 0.5598 |
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- | 4.7006 | 2.8855 | 1600 | 0.5622 |
 
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  ### Framework versions
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- - Transformers 4.46.0.dev0
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- - Pytorch 2.4.1+cu121
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- - Datasets 3.0.1
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  - Tokenizers 0.20.1
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the train-bn dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5572
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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: 1700
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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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+ | 0.7601 | 0.1779 | 100 | 0.6865 |
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+ | 0.7091 | 0.3559 | 200 | 0.6498 |
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+ | 0.6819 | 0.5338 | 300 | 0.6345 |
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+ | 0.6561 | 0.7117 | 400 | 0.6350 |
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+ | 0.6353 | 0.8897 | 500 | 0.6044 |
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+ | 0.6393 | 1.0676 | 600 | 0.5887 |
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+ | 0.6402 | 1.2456 | 700 | 0.5906 |
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+ | 0.6194 | 1.4235 | 800 | 0.5867 |
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+ | 0.6127 | 1.6014 | 900 | 0.5788 |
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+ | 0.608 | 1.7794 | 1000 | 0.5765 |
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+ | 0.6129 | 1.9573 | 1100 | 0.5738 |
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+ | 0.6044 | 2.1352 | 1200 | 0.5680 |
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+ | 0.5894 | 2.3132 | 1300 | 0.5655 |
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+ | 0.5952 | 2.4911 | 1400 | 0.5648 |
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+ | 0.5963 | 2.6690 | 1500 | 0.5572 |
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+ | 0.5889 | 2.8470 | 1600 | 0.5614 |
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+ | 0.5897 | 3.0249 | 1700 | 0.5572 |
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  ### Framework versions
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+ - Transformers 4.47.0.dev0
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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  - Tokenizers 0.20.1
generation_config.json CHANGED
@@ -5,5 +5,5 @@
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  "max_length": 1876,
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  "pad_token_id": 1,
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- "transformers_version": "4.46.0.dev0"
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  }
 
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  "max_length": 1876,
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  "pad_token_id": 1,
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+ "transformers_version": "4.47.0.dev0"
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  }
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