CoolFace
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kpushpender/mms-oral-cancer1

sourceHugging Facecc-by-nc-4.0updated 1y agoView on Hugging Face
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Model Card

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mms-oral-cancer1

This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7520
  • —Wer: 0.2858

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: 0.0004
  • —trainbatchsize: 4
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 40
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
1.00760.9825280.84070.3384
0.84731.9825560.76040.3173
0.7552.9825840.76810.3114
0.70993.98251120.77010.3093
0.72024.98251400.76710.2989
0.67635.98251680.76960.2923
0.65296.98251960.74410.2917
0.63597.98252240.75060.2917
0.60498.98252520.76400.2854
0.58319.98252800.75200.2858

Framework versions

  • —PEFT 0.14.0
  • —Transformers 4.51.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.5.0
  • —Tokenizers 0.21.0