CoolFace
Modelpublic

am-infoweb/QA_REDACTION_NOV1_19-a2

sourceHugging Facemitupdated 3y agoView on Hugging Face
0likes9downloads
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. -->

QAREDACTIONNOV1_19-a2

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0226

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: 3
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 12

Training results

Training LossEpochStepValidation Loss
0.07361.013500.0554
0.03822.027000.0306
0.04983.040500.0201
0.05914.054000.0211
0.04875.067500.0184
0.02846.081000.0141
0.03627.094500.0166
0.03848.0108000.0190
0.03799.0121500.0168
0.01310.0135000.0213
0.01411.0148500.0269
0.016612.0162000.0226

Framework versions

  • —Transformers 4.34.1
  • —Pytorch 2.0.1
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1