sil-ai / kya-kya-audio-aligned-speecht5

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Total runs: 6
24-hour runs: 0
7-day runs: 1
30-day runs: 5
Model's Last Updated: March 04 2026
text-to-audio

Introduction of kya-kya-audio-aligned-speecht5

Model Details of kya-kya-audio-aligned-speecht5

kya-kya-audio-aligned-speecht5

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0392
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 3407
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 4000
  • training_steps: 40000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
0.0644 4.0816 1000 0.0509
0.0577 8.1633 2000 0.0461
0.0534 12.2449 3000 0.0440
0.0515 16.3265 4000 0.0451
0.0506 20.4082 5000 0.0426
0.0484 24.4898 6000 0.0433
0.0469 28.5714 7000 0.0420
0.0464 32.6531 8000 0.0416
0.0465 36.7347 9000 0.0433
0.0433 40.8163 10000 0.0405
0.0416 44.8980 11000 0.0406
0.0427 48.9796 12000 0.0408
0.041 53.0612 13000 0.0404
0.0401 57.1429 14000 0.0405
0.039 61.2245 15000 0.0399
0.0399 65.3061 16000 0.0396
0.0389 69.3878 17000 0.0413
0.0444 73.4694 18000 0.0416
0.0381 77.5510 19000 0.0402
0.0386 81.6327 20000 0.0394
0.0364 85.7143 21000 0.0398
0.037 89.7959 22000 0.0405
0.0365 93.8776 23000 0.0404
0.0361 97.9592 24000 0.0398
0.0358 102.0408 25000 0.0397
0.0354 106.1224 26000 0.0395
0.0342 110.2041 27000 0.0396
0.0337 114.2857 28000 0.0395
0.0345 118.3673 29000 0.0395
0.0348 122.4490 30000 0.0395
0.0389 126.5306 31000 0.0400
0.0336 130.6122 32000 0.0396
0.0334 134.6939 33000 0.0394
0.034 138.7755 34000 0.0391
0.0333 142.8571 35000 0.0393
0.0326 146.9388 36000 0.0392
0.0335 151.0204 37000 0.0393
0.0326 155.1020 38000 0.0394
0.0336 159.1837 39000 0.0392
0.0337 163.2653 40000 0.0392
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.8.0+cu128
  • Datasets 4.2.0
  • Tokenizers 0.22.2

Runs of sil-ai kya-kya-audio-aligned-speecht5 on huggingface.co

6
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24-hour runs
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3-day runs
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7-day runs
5
30-day runs

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