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speecht5_finetuned_voxpopuli_pl

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

  • Loss: 0.4550

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2000

Training results

Training Loss Epoch Step Validation Loss
0.6954 0.5 100 0.6110
0.644 1.01 200 0.5731
0.602 1.51 300 0.5330
0.5524 2.01 400 0.4982
0.5412 2.51 500 0.4870
0.5256 3.02 600 0.4775
0.5141 3.52 700 0.4728
0.5125 4.02 800 0.4688
0.5106 4.52 900 0.4657
0.5037 5.03 1000 0.4627
0.5048 5.53 1100 0.4622
0.4983 6.03 1200 0.4583
0.4981 6.53 1300 0.4580
0.4942 7.04 1400 0.4580
0.4945 7.54 1500 0.4578
0.4922 8.04 1600 0.4568
0.4893 8.54 1700 0.4562
0.4948 9.05 1800 0.4552
0.4892 9.55 1900 0.4547
0.4933 10.05 2000 0.4550

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.0
  • Tokenizers 0.13.3
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