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Solo448
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SpeechT5-tuned-bn

Text-to-Audio
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Bengali
speecht5
Bengali
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End of training

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Files changed (3) hide show
  1. README.md +19 -13
  2. model.safetensors +1 -1
  3. runs/Oct21_03-23-29_a7c91231f738/events.out.tfevents.1729481020.a7c91231f738.482.0 +2 -2
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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- - 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: []
@@ -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 common_voice_17_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5401
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  ## Model description
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@@ -56,16 +56,22 @@ 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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- | 6.1084 | 0.2728 | 80 | 0.6622 |
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- | 5.2834 | 0.5456 | 160 | 0.6018 |
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- | 5.1195 | 0.8184 | 240 | 0.5940 |
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- | 5.063 | 1.0912 | 320 | 0.5868 |
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- | 4.894 | 1.3640 | 400 | 0.5614 |
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- | 4.7711 | 1.6368 | 480 | 0.5654 |
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- | 4.7574 | 1.9096 | 560 | 0.5496 |
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- | 4.6202 | 2.1824 | 640 | 0.5468 |
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- | 4.6823 | 2.4552 | 720 | 0.5401 |
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- | 4.619 | 2.7280 | 800 | 0.5401 |
 
 
 
 
 
 
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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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+ - ucalyptus/train-bn
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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 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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  | 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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