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speecht5_finetuned_roman_ur

This model is a fine-tuned version of EhsanElahi/speecht5_finetuned_voxpopuli_nl on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4980

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 1024
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
0.5267 13.56 50 0.4973
0.5245 27.12 100 0.4980

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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