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m2nho/whisper-small-finetuned-atco2-asr-atcosim

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Whisper small - Whisper with atcosim

This model is a fine-tuned version of openai/whisper-small on the This is a dataset constructed from two datasets: ATCOSIM. dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0385
  • —Wer: 1.4177

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
  • —trainbatchsize: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —training_steps: 1000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.03490.20921000.09746.4040
0.04930.41842000.06643.2329
0.04640.62763000.05192.8708
0.03940.83684000.04742.3055
0.01771.04605000.04291.7004
0.00541.25526000.04161.5458
0.01821.46447000.04111.5193
0.0081.67368000.04001.4663
0.00551.88289000.03871.4619
0.00532.092110000.03851.4177

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1