CoolFace
Modelpublic

titi7242229/roberta-base-bne-finetuned_personality_multi

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
0likes12downloads
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. -->

roberta-base-bne-finetunedpersonalitymulti

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.3709
  • —Accuracy: 0.5130

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation LossAccuracy
2.25761.01252.27550.2340
2.04092.02502.14250.2974
1.63583.03751.87300.4403
1.35534.05001.74430.5032
0.92015.06251.71650.5055
0.51996.07501.74760.5107
0.55887.08751.77580.5153
0.20798.010001.79640.5251
0.26859.011251.88860.5187
0.126110.012501.94630.5199
0.110511.013752.03370.5222
0.157212.015002.12060.5084
0.064313.016252.18150.5182
0.017414.017502.24120.5176
0.026615.018752.27410.5112
0.044716.020002.30890.5159
0.0217.021252.34010.5135
0.041418.022502.35040.5159
0.012219.023752.36610.5130
0.015420.025002.37090.5130

Framework versions

  • —Transformers 4.19.3
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.2.2
  • —Tokenizers 0.12.1