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Model save

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  1. README.md +7 -2
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 [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.9321
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  ## Model description
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@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
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- - training_steps: 2500
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -56,6 +56,11 @@ The following hyperparameters were used during training:
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  | 4.0737 | 1500.0 | 1500 | 4.2795 |
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  | 3.7869 | 2000.0 | 2000 | 4.0157 |
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  | 3.699 | 2500.0 | 2500 | 3.9321 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0949
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
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+ - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 4.0737 | 1500.0 | 1500 | 4.2795 |
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  | 3.7869 | 2000.0 | 2000 | 4.0157 |
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  | 3.699 | 2500.0 | 2500 | 3.9321 |
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+ | 3.442 | 3000.0 | 3000 | 3.6273 |
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+ | 3.2185 | 3500.0 | 3500 | 3.3859 |
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+ | 3.022 | 4000.0 | 4000 | 3.2249 |
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+ | 2.9657 | 4500.0 | 4500 | 3.1238 |
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+ | 2.9321 | 5000.0 | 5000 | 3.0949 |
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  ### Framework versions