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paola-md/recipe-lr1e05-wd0.1-bs16

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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recipe-lr1e05-wd0.1-bs16

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: 0.2794
  • —Rmse: 0.5286
  • —Mse: 0.2794
  • —Mae: 0.4343

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: 128
  • —evalbatchsize: 128
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossRmseMseMae
0.27671.012450.27440.52390.27440.4124
0.27392.024900.27570.52500.27570.4211
0.27273.037350.27940.52860.27940.4343

Framework versions

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