Team Ai
Modelpublic

Safick-HF/Finetuned_Question_Answering_Model

sourceHugging Facemitupdated 2y agoView on Hugging Face
0likes56downloads
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. -->

FinetunedQuestionAnswering_Model

This model is a fine-tuned version of deepset/gelectra-large-germanquad on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0331

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: 5
  • —evalbatchsize: 10
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
0.10081.030.3691
0.1772.060.2874
0.07633.090.2115
0.00654.0120.1496
0.00755.0150.0874
0.02316.0180.0727
0.00597.0210.0512
0.03028.0240.0407
0.00179.0270.0347
0.001510.0300.0331

Framework versions

  • —Transformers 4.39.3
  • —Pytorch 2.1.2+cpu
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2