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titi7242229/roberta-base-bne-finetuned_personality_multi_2

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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roberta-base-bne-finetunedpersonalitymulti_2

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: 2.2983
  • —Accuracy: 0.5429

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
2.32561.01252.26420.2161
1.8152.02501.95690.3919
1.6143.03751.72640.5014
1.17184.05001.63870.5239
1.1355.06251.62590.5245
0.56376.07501.64430.5372
0.36727.08751.71460.5326
0.32498.010001.80990.5297
0.17919.011251.88880.5285
0.217510.012501.92280.5326
0.046511.013751.97530.5435
0.115412.015002.11020.5256
0.074513.016252.13190.5429
0.028114.017502.17430.5360
0.017315.018752.20870.5441
0.026916.020002.24560.5424
0.010717.021252.26850.5458
0.026818.022502.28930.5383
0.024519.023752.29430.5418
0.015620.025002.29830.5429

Framework versions

  • —Transformers 4.19.4
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.2.2
  • —Tokenizers 0.12.1