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LoRA-Frisian-1h

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_6_1 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5372

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 15 3.9123
4.3581 2.0 30 2.4747
4.3581 3.0 45 2.1013
2.0139 4.0 60 1.7239
0.8458 5.0 75 1.5361
0.8458 6.0 90 1.5255
0.2525 7.0 105 1.5009
0.2525 8.0 120 1.5346
0.0726 9.0 135 1.5020
0.0233 10.0 150 1.5250
0.0233 11.0 165 1.5127
0.0152 12.0 180 1.5213
0.0152 13.0 195 1.5306
0.0104 14.0 210 1.5349
0.0093 15.0 225 1.5372

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Adapter for

Dataset used to train xuliu15/32r_LoRA_10m