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Timmyafolami
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speecht5_female_british_english_speaker_2

Text-to-Audio
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  1. README.md +13 -7
  2. model.safetensors +1 -1
  3. runs/Oct01_22-35-00_dda9e4a0bc13/events.out.tfevents.1727822105.dda9e4a0bc13.37199.0 +2 -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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4743
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  ## Model description
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@@ -44,18 +44,24 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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- - training_steps: 500
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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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- | 0.4907 | 7.9208 | 100 | 0.4357 |
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- | 0.4189 | 15.8416 | 200 | 0.4335 |
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- | 0.3968 | 23.7624 | 300 | 0.4391 |
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- | 0.3729 | 31.6832 | 400 | 0.4728 |
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- | 0.3648 | 39.6040 | 500 | 0.4743 |
 
 
 
 
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4968
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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+ - training_steps: 1100
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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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+ | 0.4995 | 7.9208 | 100 | 0.4349 |
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+ | 0.421 | 15.8416 | 200 | 0.4270 |
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+ | 0.3934 | 23.7624 | 300 | 0.4447 |
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+ | 0.3765 | 31.6832 | 400 | 0.4632 |
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+ | 0.3665 | 39.6040 | 500 | 0.4657 |
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+ | 0.3595 | 47.5248 | 600 | 0.4665 |
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+ | 0.3455 | 55.4455 | 700 | 0.4821 |
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+ | 0.3405 | 63.3663 | 800 | 0.4851 |
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+ | 0.3349 | 71.2871 | 900 | 0.4916 |
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+ | 0.3289 | 79.2079 | 1000 | 0.4928 |
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+ | 0.329 | 87.1287 | 1100 | 0.4968 |
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  ### Framework versions
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