uz_2301_3.1_tts / README.md
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metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
model-index:
  - name: uz_2301_3.1_tts
    results: []

uz_2301_3.1_tts

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4577

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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_bnb_8bit 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: 500
  • training_steps: 7000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5566 10.0 500 0.4779
0.441 20.0 1000 0.4353
0.4194 30.0 1500 0.4364
0.4018 40.0 2000 0.4254
0.3771 50.0 2500 0.4184
0.3807 60.0 3000 0.4363
0.3615 70.0 3500 0.4384
0.3492 80.0 4000 0.4462
0.3323 90.0 4500 0.4423
0.3281 100.0 5000 0.4445
0.3299 110.0 5500 0.4454
0.3145 120.0 6000 0.4464
0.3192 130.0 6500 0.4540
0.3108 140.0 7000 0.4577

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0