CoolFace
Modelpublic

rishabhjain16/whisper_medium_en_to_myst_pf_ot100

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
0likes16downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

openai/whisper-medium.en

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

  • —Loss: 0.4158
  • —Wer: 10.8712

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 4000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.61480.125000.310712.7838
0.18771.0910000.289211.2910
0.06972.0515000.314610.7857
0.07483.0220000.316211.5254
0.03083.1425000.345011.1111
0.01924.1130000.372010.9101
0.00465.0735000.415511.2344
0.00966.0340000.415810.8712

Framework versions

  • —Transformers 4.29.0
  • —Pytorch 1.14.0a0+44dac51
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3