CoolFace
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tal-yifat/injury-report-distilgpt2-test

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face
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Model Card

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injury-report-distilgpt2-test

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.5243

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
No log1.03803.6525
3.91162.07603.5507
3.60153.011403.5243

Framework versions

  • —Transformers 4.11.3
  • —Pytorch 1.9.0+cu111
  • —Datasets 1.13.3
  • —Tokenizers 0.10.3