sil-ai / dgo-tts-training-data-b-speecht5

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 1
30-day runs: -14
Model's Last Updated: October 08 2025
text-to-audio

Introduction of dgo-tts-training-data-b-speecht5

Model Details of dgo-tts-training-data-b-speecht5

dgo-tts-training-data-b-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: 0.5241
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: 42
  • 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: linear
  • lr_scheduler_warmup_steps: 4000
  • training_steps: 40000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
0.6613 5.3763 1000 0.6169
0.5846 10.7527 2000 0.5629
0.5544 16.1290 3000 0.5276
0.5324 21.5054 4000 0.5319
0.5247 26.8817 5000 0.5188
0.5112 32.2581 6000 0.5118
0.4957 37.6344 7000 0.5129
0.4878 43.0108 8000 0.5179
0.4835 48.3871 9000 0.5180
0.4725 53.7634 10000 0.5144
0.4592 59.1398 11000 0.5202
0.4535 64.5161 12000 0.5121
0.4492 69.8925 13000 0.5159
0.4353 75.2688 14000 0.5116
0.4348 80.6452 15000 0.5144
0.4279 86.0215 16000 0.5145
0.4299 91.3978 17000 0.5171
0.4178 96.7742 18000 0.5182
0.4172 102.1505 19000 0.5177
0.4242 107.5269 20000 0.5184
0.4228 112.9032 21000 0.5193
0.4227 118.2796 22000 0.5207
0.4185 123.6559 23000 0.5191
0.4191 129.0323 24000 0.5222
0.425 134.4086 25000 0.5205
0.4149 139.7849 26000 0.5222
0.4179 145.1613 27000 0.5192
0.4196 150.5376 28000 0.5205
0.4153 155.9140 29000 0.5209
0.4202 161.2903 30000 0.5233
0.4176 166.6667 31000 0.5247
0.4093 172.0430 32000 0.5240
0.4113 177.4194 33000 0.5230
0.4154 182.7957 34000 0.5234
0.4123 188.1720 35000 0.5212
0.4113 193.5484 36000 0.5245
0.4105 198.9247 37000 0.5250
0.4108 204.3011 38000 0.5235
0.4103 209.6774 39000 0.5243
0.4092 215.0538 40000 0.5241
Framework versions
  • Transformers 4.57.0
  • Pytorch 2.8.0+cu128
  • Datasets 4.1.1
  • Tokenizers 0.22.1

Runs of sil-ai dgo-tts-training-data-b-speecht5 on huggingface.co

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3-day runs
1
7-day runs
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30-day runs

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