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  1. README.md +43 -43
  2. model.safetensors +1 -1
README.md CHANGED
@@ -5,18 +5,18 @@ base_model: microsoft/speecht5_tts
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: ykv-chapter-audio-dataset-force-aligned-speecht5
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # ykv-chapter-audio-dataset-force-aligned-speecht5
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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: 0.0562
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  ## Model description
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@@ -51,46 +51,46 @@ 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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- | 0.0899 | 12.5016 | 1000 | 0.0604 |
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- | 0.0742 | 25.0 | 2000 | 0.0540 |
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- | 0.073 | 37.5016 | 3000 | 0.0535 |
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- | 0.0733 | 50.0 | 4000 | 0.0561 |
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- | 0.0677 | 62.5016 | 5000 | 0.0530 |
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- | 0.0621 | 75.0 | 6000 | 0.0522 |
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- | 0.0652 | 87.5016 | 7000 | 0.0542 |
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- | 0.0609 | 100.0 | 8000 | 0.0527 |
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- | 0.0606 | 112.5016 | 9000 | 0.0530 |
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- | 0.059 | 125.0 | 10000 | 0.0528 |
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- | 0.0542 | 137.5016 | 11000 | 0.0529 |
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- | 0.0536 | 150.0 | 12000 | 0.0530 |
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- | 0.0543 | 162.5016 | 13000 | 0.0535 |
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- | 0.0547 | 175.0 | 14000 | 0.0539 |
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- | 0.0533 | 187.5016 | 15000 | 0.0539 |
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- | 0.0523 | 200.0 | 16000 | 0.0553 |
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- | 0.0506 | 212.5016 | 17000 | 0.0545 |
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- | 0.05 | 225.0 | 18000 | 0.0554 |
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- | 0.0509 | 237.5016 | 19000 | 0.0544 |
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- | 0.0474 | 250.0 | 20000 | 0.0550 |
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- | 0.0468 | 262.5016 | 21000 | 0.0548 |
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- | 0.0483 | 275.0 | 22000 | 0.0558 |
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- | 0.0477 | 287.5016 | 23000 | 0.0553 |
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- | 0.0471 | 300.0 | 24000 | 0.0553 |
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- | 0.0459 | 312.5016 | 25000 | 0.0559 |
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- | 0.0474 | 325.0 | 26000 | 0.0555 |
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- | 0.0452 | 337.5016 | 27000 | 0.0561 |
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- | 0.0445 | 350.0 | 28000 | 0.0558 |
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- | 0.0438 | 362.5016 | 29000 | 0.0560 |
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- | 0.0452 | 375.0 | 30000 | 0.0563 |
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- | 0.0438 | 387.5016 | 31000 | 0.0560 |
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- | 0.0437 | 400.0 | 32000 | 0.0563 |
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- | 0.0436 | 412.5016 | 33000 | 0.0563 |
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- | 0.0449 | 425.0 | 34000 | 0.0567 |
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- | 0.0434 | 437.5016 | 35000 | 0.0564 |
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- | 0.0448 | 450.0 | 36000 | 0.0563 |
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- | 0.0421 | 462.5016 | 37000 | 0.0562 |
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- | 0.0438 | 475.0 | 38000 | 0.0562 |
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- | 0.0429 | 487.5016 | 39000 | 0.0562 |
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- | 0.043 | 500.0 | 40000 | 0.0562 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: mzr-chapter-audio-dataset-force-aligned-speecht5
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # mzr-chapter-audio-dataset-force-aligned-speecht5
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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: 0.0448
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:--------:|:-----:|:---------------:|
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+ | 0.0626 | 12.5016 | 1000 | 0.0466 |
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+ | 0.0517 | 25.0 | 2000 | 0.0436 |
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+ | 0.0524 | 37.5016 | 3000 | 0.0428 |
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+ | 0.0501 | 50.0 | 4000 | 0.0423 |
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+ | 0.0464 | 62.5016 | 5000 | 0.0408 |
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+ | 0.0422 | 75.0 | 6000 | 0.0421 |
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+ | 0.0479 | 87.5016 | 7000 | 0.0416 |
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+ | 0.0434 | 100.0 | 8000 | 0.0425 |
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+ | 0.0421 | 112.5016 | 9000 | 0.0416 |
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+ | 0.0408 | 125.0 | 10000 | 0.0424 |
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+ | 0.0376 | 137.5016 | 11000 | 0.0438 |
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+ | 0.0371 | 150.0 | 12000 | 0.0419 |
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+ | 0.0377 | 162.5016 | 13000 | 0.0429 |
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+ | 0.0377 | 175.0 | 14000 | 0.0422 |
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+ | 0.0371 | 187.5016 | 15000 | 0.0427 |
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+ | 0.0362 | 200.0 | 16000 | 0.0437 |
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+ | 0.036 | 212.5016 | 17000 | 0.0438 |
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+ | 0.0349 | 225.0 | 18000 | 0.0435 |
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+ | 0.0356 | 237.5016 | 19000 | 0.0438 |
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+ | 0.034 | 250.0 | 20000 | 0.0434 |
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+ | 0.033 | 262.5016 | 21000 | 0.0437 |
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+ | 0.0335 | 275.0 | 22000 | 0.0443 |
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+ | 0.0329 | 287.5016 | 23000 | 0.0445 |
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+ | 0.0332 | 300.0 | 24000 | 0.0448 |
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+ | 0.0324 | 312.5016 | 25000 | 0.0449 |
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+ | 0.0329 | 325.0 | 26000 | 0.0442 |
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+ | 0.0317 | 337.5016 | 27000 | 0.0445 |
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+ | 0.0311 | 350.0 | 28000 | 0.0443 |
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+ | 0.0304 | 362.5016 | 29000 | 0.0448 |
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+ | 0.0313 | 375.0 | 30000 | 0.0443 |
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+ | 0.0308 | 387.5016 | 31000 | 0.0450 |
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+ | 0.0312 | 400.0 | 32000 | 0.0447 |
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+ | 0.0307 | 412.5016 | 33000 | 0.0448 |
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+ | 0.0312 | 425.0 | 34000 | 0.0448 |
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+ | 0.0304 | 437.5016 | 35000 | 0.0446 |
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+ | 0.0313 | 450.0 | 36000 | 0.0448 |
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+ | 0.0298 | 462.5016 | 37000 | 0.0446 |
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+ | 0.0307 | 475.0 | 38000 | 0.0447 |
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+ | 0.0302 | 487.5016 | 39000 | 0.0449 |
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+ | 0.0303 | 500.0 | 40000 | 0.0448 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 577899912