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Romanian Colocvial Speech

This model is a fine-tuned version of IoanRazvan/speecht5_tts_voxpopuli_ro on the RomanianColocvialSpeech dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4040

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • 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: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.4604 11.3 1000 0.4145
0.4338 22.6 2000 0.4036
0.4305 33.9 3000 0.4070
0.4252 45.2 4000 0.4040

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
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Model size
144M params
Tensor type
F32
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