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whisper-large-v2-ft-my_dataset_car100_owner12_snr0x8_mp3_voiceless-241021-v1

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 5.0071

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: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
12.3903 1.0 1 12.2574
12.1892 2.0 2 11.1494
11.181 3.0 3 9.2009
9.1809 4.0 4 7.6209
7.5748 5.0 5 6.5046
6.6089 6.0 6 5.7967
5.8371 7.0 7 5.3477
5.6154 8.0 8 5.1478
5.4369 9.0 9 5.0496
5.1562 10.0 10 5.0071

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.1
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.0
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