CoolFace
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paola-md/recipistil

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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recipistil

This model is a fine-tuned version of paola-md/recipe-distilroberta-Is on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.9743
  • —Rmse: 1.4051
  • —Mse: 1.9743
  • —Mae: 1.0578

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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 15

Training results

Training LossEpochStepValidation LossRmseMseMae
1.96571.081261.97891.40671.97891.0578
1.96172.0162521.98731.40971.98731.0620
1.95883.0243781.97691.40601.97691.0578
1.9584.0325041.97361.40481.97361.0578
1.95685.0406301.97721.40611.97721.0578
1.95646.0487561.97361.40481.97361.0578
1.95637.0568821.97371.40491.97371.0578
1.95618.0650081.97371.40491.97371.0578
1.95599.0731341.97431.40511.97431.0578

Framework versions

  • —Transformers 4.19.0.dev0
  • —Pytorch 1.9.0+cu111
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1