CoolFace
Modelpublic

somya0109/my_awesome_qa_model

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes7downloads
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. -->

myawesomeqa_model

This model is a fine-tuned version of climatebert/distilroberta-base-climate-f on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1299

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: 0.002
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 30

Training results

Training LossEpochStepValidation Loss
No log1.015.5
No log2.025.0
No log3.034.3125
No log4.043.625
No log5.053.0625
No log6.063.0
No log7.072.6875
No log8.082.3281
No log9.092.0625
No log10.0101.8281
No log11.0111.6094
No log12.0121.3828
No log13.0131.2266
No log14.0141.0703
No log15.0150.9062
No log16.0160.7227
No log17.0170.5859
No log18.0180.4805
No log19.0190.4102
No log20.0200.3672
No log21.0210.3594
No log22.0220.3203
No log23.0230.2617
No log24.0240.2148
No log25.0250.1914
No log26.0260.1709
No log27.0270.1523
No log28.0280.1387
No log29.0290.1328
No log30.0300.1299

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.38.2
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2