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robbert-v2-dutch-base-finetuned-emotion

antalvdb / robbert-v2-dutch-base-finetuned-emotion

Run on huggingface.co
huggingface.co
Total runs: 175
24-hour runs: -1
7-day runs: 11
30-day runs: 156
Model's Last Updated: July 29 2024
text-classification

Introduction of robbert-v2-dutch-base-finetuned-emotion

Model Details of robbert-v2-dutch-base-finetuned-emotion

robbert-v2-dutch-base-finetuned-emotion

This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3545
  • Accuracy: 0.52
  • F1: 0.5123
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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
1.5586 1.0 25 1.4429 0.42 0.2485
1.4425 2.0 50 1.3576 0.46 0.3533
1.2834 3.0 75 1.3207 0.5 0.4369
1.1051 4.0 100 1.3228 0.48 0.4217
0.9053 5.0 125 1.3705 0.49 0.4302
0.7326 6.0 150 1.4522 0.53 0.5019
0.5724 7.0 175 1.5445 0.53 0.5064
0.4411 8.0 200 1.6560 0.54 0.5120
0.3476 9.0 225 1.7233 0.51 0.4845
0.2324 10.0 250 1.9150 0.52 0.5056
0.1866 11.0 275 2.0207 0.52 0.4975
0.165 12.0 300 2.0863 0.52 0.5094
0.1291 13.0 325 2.1584 0.5 0.4833
0.0762 14.0 350 2.2296 0.55 0.5332
0.0577 15.0 375 2.3171 0.5 0.4986
0.0424 16.0 400 2.4509 0.5 0.4795
0.0253 17.0 425 2.5444 0.49 0.4917
0.0191 18.0 450 2.5894 0.51 0.5031
0.0123 19.0 475 2.7144 0.5 0.4995
0.01 20.0 500 2.7358 0.53 0.5231
0.0086 21.0 525 2.8282 0.48 0.4825
0.0064 22.0 550 2.8421 0.52 0.5244
0.0059 23.0 575 2.9267 0.53 0.5200
0.005 24.0 600 2.9568 0.52 0.5074
0.0044 25.0 625 3.0420 0.47 0.4755
0.0066 26.0 650 3.0421 0.48 0.4881
0.0039 27.0 675 3.1039 0.51 0.4960
0.0033 28.0 700 3.1226 0.51 0.4955
0.0033 29.0 725 3.1215 0.51 0.4999
0.003 30.0 750 3.1649 0.51 0.4980
0.0025 31.0 775 3.1716 0.5 0.4921
0.0028 32.0 800 3.2371 0.5 0.4956
0.0028 33.0 825 3.1730 0.52 0.5154
0.0055 34.0 850 3.1842 0.49 0.4884
0.0022 35.0 875 3.2324 0.51 0.4955
0.0023 36.0 900 3.2221 0.52 0.5089
0.002 37.0 925 3.2756 0.51 0.4981
0.0021 38.0 950 3.2866 0.51 0.5010
0.0019 39.0 975 3.2882 0.51 0.5010
0.0018 40.0 1000 3.2864 0.51 0.4967
0.0017 41.0 1025 3.3101 0.51 0.4967
0.0017 42.0 1050 3.3215 0.52 0.5089
0.0016 43.0 1075 3.3253 0.51 0.5043
0.0056 44.0 1100 3.3118 0.51 0.5043
0.0016 45.0 1125 3.3566 0.51 0.4981
0.0016 46.0 1150 3.3593 0.51 0.4981
0.0016 47.0 1175 3.3638 0.51 0.4981
0.0017 48.0 1200 3.3605 0.52 0.5089
0.0017 49.0 1225 3.3526 0.52 0.5123
0.0016 50.0 1250 3.3545 0.52 0.5123
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of antalvdb robbert-v2-dutch-base-finetuned-emotion on huggingface.co

175
Total runs
-1
24-hour runs
5
3-day runs
11
7-day runs
156
30-day runs

More Information About robbert-v2-dutch-base-finetuned-emotion huggingface.co Model

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robbert-v2-dutch-base-finetuned-emotion install

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