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JackismyShephard
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speecht5_tts-finetuned-nst-da

Text-to-Speech
Transformers
TensorBoard
Safetensors
Danish
speecht5
text-to-audio
Generated from Trainer
Inference Endpoints
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  1. README.md +25 -28
  2. model.safetensors +1 -1
  3. runs/Feb15_01-39-31_CDT-DESKTOP-LINUX/events.out.tfevents.1707957572.CDT-DESKTOP-LINUX.16926.0 +0 -3
  4. runs/Feb15_01-39-31_CDT-DESKTOP-LINUX/events.out.tfevents.1707996353.CDT-DESKTOP-LINUX.16926.1 +0 -3
  5. runs/Feb15_14-12-26_CDT-DESKTOP-LINUX/events.out.tfevents.1708002746.CDT-DESKTOP-LINUX.30252.0 +0 -3
  6. runs/{Feb15_13-20-07_CDT-DESKTOP-LINUX/events.out.tfevents.1707999610.CDT-DESKTOP-LINUX.28602.0 → Feb21_13-45-11_CDT-DESKTOP-LINUX/events.out.tfevents.1708519512.CDT-DESKTOP-LINUX.95272.0} +2 -2
  7. runs/{Feb15_14-00-58_CDT-DESKTOP-LINUX/events.out.tfevents.1708002061.CDT-DESKTOP-LINUX.29532.0 → Feb21_23-05-16_CDT-DESKTOP-LINUX/events.out.tfevents.1708553121.CDT-DESKTOP-LINUX.4451.0} +2 -2
  8. runs/{Jan14_01-59-01_Christians-Desktop/events.out.tfevents.1705281827.Christians-Desktop.157984.1 → Feb21_23-05-16_CDT-DESKTOP-LINUX/events.out.tfevents.1708570070.CDT-DESKTOP-LINUX.4451.1} +1 -1
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  10. runs/{Feb11_23-38-55_CDT-DESKTOP-LINUX/events.out.tfevents.1707729176.CDT-DESKTOP-LINUX.8611.1 → Feb22_11-00-12_CDT-DESKTOP-LINUX/events.out.tfevents.1708635235.CDT-DESKTOP-LINUX.33574.1} +1 -1
  11. runs/Jan14_01-59-01_Christians-Desktop/events.out.tfevents.1705193943.Christians-Desktop.157984.0 +0 -3
  12. runs/Jan15_09-07-38_Christians-Desktop/events.out.tfevents.1705306078.Christians-Desktop.157984.2 +0 -3
  13. runs/Jan15_09-07-38_Christians-Desktop/events.out.tfevents.1705367613.Christians-Desktop.157984.3 +0 -3
  14. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
19
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the NST Danish ASR Database dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3387
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- - Mae: 0.1486
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- - Mse: 0.0395
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- - Mcd: 16.3878
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- - Mae Rmcd: 0.1562
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  ## Model description
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@@ -42,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -50,31 +46,32 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 20
 
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Mae | Mse | Mcd | Mae Rmcd |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|:--------:|
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- | 0.4202 | 1.0 | 2378 | 0.3851 | 0.1589 | 0.0446 | 17.5859 | 0.1674 |
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- | 0.3897 | 2.0 | 4756 | 0.3771 | 0.1578 | 0.0440 | 17.2975 | 0.1654 |
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- | 0.3749 | 3.0 | 7134 | 0.3636 | 0.1605 | 0.0450 | 17.3449 | 0.1670 |
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- | 0.359 | 4.0 | 9512 | 0.3632 | 0.1580 | 0.0443 | 17.2756 | 0.1654 |
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- | 0.3532 | 5.0 | 11890 | 0.3539 | 0.1592 | 0.0444 | 17.1294 | 0.1653 |
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- | 0.356 | 6.0 | 14268 | 0.3455 | 0.1536 | 0.0418 | 16.9892 | 0.1617 |
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- | 0.3437 | 7.0 | 16646 | 0.3426 | 0.1528 | 0.0416 | 16.8165 | 0.1605 |
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- | 0.3434 | 8.0 | 19024 | 0.3438 | 0.1534 | 0.0416 | 16.8859 | 0.1611 |
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- | 0.3391 | 9.0 | 21402 | 0.3487 | 0.1558 | 0.0429 | 16.7245 | 0.1615 |
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- | 0.3381 | 10.0 | 23780 | 0.3414 | 0.1516 | 0.0409 | 16.6136 | 0.1589 |
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- | 0.3455 | 11.0 | 26158 | 0.3395 | 0.1509 | 0.0406 | 16.6252 | 0.1586 |
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- | 0.3408 | 12.0 | 28536 | 0.3402 | 0.1504 | 0.0404 | 16.7043 | 0.1587 |
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- | 0.341 | 13.0 | 30914 | 0.3420 | 0.1527 | 0.0414 | 16.6290 | 0.1595 |
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- | 0.3279 | 14.0 | 33292 | 0.3388 | 0.1503 | 0.0404 | 16.5525 | 0.1579 |
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- | 0.328 | 15.0 | 35670 | 0.3389 | 0.1498 | 0.0401 | 16.4898 | 0.1574 |
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- | 0.3264 | 16.0 | 38048 | 0.3391 | 0.1497 | 0.0400 | 16.4882 | 0.1573 |
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- | 0.3318 | 17.0 | 40426 | 0.3383 | 0.1498 | 0.0402 | 16.5091 | 0.1575 |
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- | 0.3299 | 18.0 | 42804 | 0.3399 | 0.1492 | 0.0399 | 16.4604 | 0.1569 |
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- | 0.3304 | 19.0 | 45182 | 0.3399 | 0.1489 | 0.0396 | 16.4132 | 0.1565 |
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- | 0.3204 | 20.0 | 47560 | 0.3387 | 0.1486 | 0.0395 | 16.3878 | 0.1562 |
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  ### Framework versions
 
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20
  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the NST Danish ASR Database dataset.
21
  It achieves the following results on the evaluation set:
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+ - Loss: 0.3692
 
 
 
 
23
 
24
  ## Model description
25
 
 
38
  ### Training hyperparameters
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40
  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 16
43
  - eval_batch_size: 16
44
  - seed: 42
 
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 20
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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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+ | 0.4445 | 1.0 | 9429 | 0.4100 |
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+ | 0.4169 | 2.0 | 18858 | 0.3955 |
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+ | 0.412 | 3.0 | 28287 | 0.3882 |
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+ | 0.3982 | 4.0 | 37716 | 0.3826 |
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+ | 0.4032 | 5.0 | 47145 | 0.3817 |
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+ | 0.3951 | 6.0 | 56574 | 0.3782 |
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+ | 0.3971 | 7.0 | 66003 | 0.3782 |
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+ | 0.395 | 8.0 | 75432 | 0.3757 |
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+ | 0.3952 | 9.0 | 84861 | 0.3749 |
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+ | 0.3835 | 10.0 | 94290 | 0.3740 |
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+ | 0.3863 | 11.0 | 103719 | 0.3754 |
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+ | 0.3845 | 12.0 | 113148 | 0.3732 |
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+ | 0.3788 | 13.0 | 122577 | 0.3715 |
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+ | 0.3834 | 14.0 | 132006 | 0.3717 |
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+ | 0.3894 | 15.0 | 141435 | 0.3718 |
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+ | 0.3845 | 16.0 | 150864 | 0.3714 |
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+ | 0.3823 | 17.0 | 160293 | 0.3692 |
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+ | 0.3858 | 18.0 | 169722 | 0.3703 |
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+ | 0.3919 | 19.0 | 179151 | 0.3716 |
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+ | 0.3906 | 20.0 | 188580 | 0.3709 |
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  ### Framework versions
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