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End of training

Browse files
README.md CHANGED
@@ -8,7 +8,7 @@ tags:
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  - Bengali
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  - generated_from_trainer
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  datasets:
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- - ucalyptus/train-bn
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  model-index:
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  - name: SpeechT5-tuned-bn
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  results: []
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # SpeechT5-tuned-bn
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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: 0.5604
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  ## Model description
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@@ -56,22 +56,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.7779 | 0.1806 | 100 | 0.6979 |
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- | 0.6983 | 0.3613 | 200 | 0.6492 |
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- | 0.6825 | 0.5419 | 300 | 0.6292 |
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- | 0.6571 | 0.7225 | 400 | 0.6200 |
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- | 0.6536 | 0.9031 | 500 | 0.6150 |
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- | 0.6405 | 1.0838 | 600 | 0.6030 |
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- | 0.6319 | 1.2644 | 700 | 0.5925 |
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- | 0.6295 | 1.4450 | 800 | 0.5878 |
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- | 0.612 | 1.6256 | 900 | 0.5821 |
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- | 0.6129 | 1.8063 | 1000 | 0.5774 |
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- | 0.6155 | 1.9869 | 1100 | 0.5744 |
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- | 0.6056 | 2.1675 | 1200 | 0.5743 |
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- | 0.5957 | 2.3482 | 1300 | 0.5735 |
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- | 0.5928 | 2.5288 | 1400 | 0.5663 |
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- | 0.5974 | 2.7094 | 1500 | 0.5599 |
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- | 0.5927 | 2.8900 | 1600 | 0.5604 |
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  ### Framework versions
 
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  - Bengali
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_17_0
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  model-index:
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  - name: SpeechT5-tuned-bn
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  results: []
 
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  # SpeechT5-tuned-bn
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+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5380
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 5.7672 | 0.3546 | 100 | 0.6430 |
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+ | 5.3154 | 0.7092 | 200 | 0.5943 |
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+ | 5.029 | 1.0638 | 300 | 0.5809 |
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+ | 4.8831 | 1.4184 | 400 | 0.5615 |
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+ | 4.8238 | 1.7730 | 500 | 0.5576 |
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+ | 4.7422 | 2.1277 | 600 | 0.5473 |
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+ | 4.6708 | 2.4823 | 700 | 0.5440 |
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+ | 4.6247 | 2.8369 | 800 | 0.5380 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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