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predict-perception-bert-focus-concept

responsibility-framing / predict-perception-bert-focus-concept

Run on huggingface.co
huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 2
Model's Last Updated: March 11 2022
text-classification

Introduction of predict-perception-bert-focus-concept

Model Details of predict-perception-bert-focus-concept

predict-perception-bert-focus-concept

This model is a fine-tuned version of dbmdz/bert-base-italian-xxl-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8129
  • Rmse: 1.0197
  • Rmse Focus::a Su un concetto astratto o un'emozione: 1.0197
  • Mae: 0.7494
  • Mae Focus::a Su un concetto astratto o un'emozione: 0.7494
  • R2: 0.1970
  • R2 Focus::a Su un concetto astratto o un'emozione: 0.1970
  • Cos: 0.4783
  • Pair: 0.0
  • Rank: 0.5
  • Neighbors: 0.4667
  • Rsa: nan
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
  • train_batch_size: 20
  • eval_batch_size: 8
  • seed: 1996
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30
Training results
Training Loss Epoch Step Validation Loss Rmse Rmse Focus::a Su un concetto astratto o un'emozione Mae Mae Focus::a Su un concetto astratto o un'emozione R2 R2 Focus::a Su un concetto astratto o un'emozione Cos Pair Rank Neighbors Rsa
1.047 1.0 15 1.0199 1.1422 1.1422 0.9321 0.9321 -0.0075 -0.0075 0.1304 0.0 0.5 0.3199 nan
0.9914 2.0 30 0.9724 1.1153 1.1153 0.9407 0.9407 0.0393 0.0393 0.2174 0.0 0.5 0.3954 nan
0.9049 3.0 45 0.9406 1.0969 1.0969 0.9170 0.9170 0.0708 0.0708 0.2174 0.0 0.5 0.3632 nan
0.8826 4.0 60 0.8553 1.0460 1.0460 0.8570 0.8570 0.1551 0.1551 0.2174 0.0 0.5 0.3230 nan
0.7837 5.0 75 0.8324 1.0319 1.0319 0.8683 0.8683 0.1776 0.1776 0.2174 0.0 0.5 0.3419 nan
0.7013 6.0 90 0.7737 0.9949 0.9949 0.8150 0.8150 0.2356 0.2356 0.5652 0.0 0.5 0.5023 nan
0.6429 7.0 105 0.7832 1.0010 1.0010 0.8005 0.8005 0.2262 0.2262 0.3913 0.0 0.5 0.4446 nan
0.5526 8.0 120 0.7734 0.9946 0.9946 0.7704 0.7704 0.2360 0.2360 0.3043 0.0 0.5 0.2923 nan
0.5194 9.0 135 0.6624 0.9205 0.9205 0.7013 0.7013 0.3456 0.3456 0.3913 0.0 0.5 0.3523 nan
0.4278 10.0 150 0.8255 1.0276 1.0276 0.7351 0.7351 0.1845 0.1845 0.3043 0.0 0.5 0.4349 nan
0.3522 11.0 165 0.9340 1.0931 1.0931 0.8069 0.8069 0.0773 0.0773 0.3913 0.0 0.5 0.4059 nan
0.314 12.0 180 0.7495 0.9792 0.9792 0.7254 0.7254 0.2596 0.2596 0.3913 0.0 0.5 0.4059 nan
0.2665 13.0 195 0.8574 1.0473 1.0473 0.7678 0.7678 0.1530 0.1530 0.3913 0.0 0.5 0.4059 nan
0.2348 14.0 210 0.7913 1.0061 1.0061 0.7218 0.7218 0.2183 0.2183 0.3913 0.0 0.5 0.4059 nan
0.1859 15.0 225 0.8012 1.0124 1.0124 0.7162 0.7162 0.2085 0.2085 0.3913 0.0 0.5 0.4059 nan
0.1373 16.0 240 0.8405 1.0369 1.0369 0.7318 0.7318 0.1697 0.1697 0.3043 0.0 0.5 0.3734 nan
0.1245 17.0 255 0.8398 1.0365 1.0365 0.7455 0.7455 0.1703 0.1703 0.4783 0.0 0.5 0.4667 nan
0.1148 18.0 270 0.7948 1.0083 1.0083 0.7140 0.7140 0.2148 0.2148 0.3913 0.0 0.5 0.4175 nan
0.1187 19.0 285 0.8301 1.0305 1.0305 0.7381 0.7381 0.1799 0.1799 0.3913 0.0 0.5 0.4175 nan
0.1236 20.0 300 0.8867 1.0650 1.0650 0.7879 0.7879 0.1240 0.1240 0.3913 0.0 0.5 0.4059 nan
0.1101 21.0 315 0.8405 1.0369 1.0369 0.7632 0.7632 0.1696 0.1696 0.3913 0.0 0.5 0.4059 nan
0.0902 22.0 330 0.7850 1.0021 1.0021 0.7173 0.7173 0.2245 0.2245 0.3043 0.0 0.5 0.3734 nan
0.093 23.0 345 0.7386 0.9720 0.9720 0.6960 0.6960 0.2704 0.2704 0.3913 0.0 0.5 0.4175 nan
0.0846 24.0 360 0.7748 0.9956 0.9956 0.7150 0.7150 0.2345 0.2345 0.3913 0.0 0.5 0.4175 nan
0.0826 25.0 375 0.7951 1.0085 1.0085 0.7230 0.7230 0.2145 0.2145 0.3913 0.0 0.5 0.4175 nan
0.0749 26.0 390 0.8470 1.0409 1.0409 0.7621 0.7621 0.1633 0.1633 0.4783 0.0 0.5 0.4667 nan
0.069 27.0 405 0.7968 1.0096 1.0096 0.7275 0.7275 0.2129 0.2129 0.3913 0.0 0.5 0.4175 nan
0.0775 28.0 420 0.8298 1.0303 1.0303 0.7589 0.7589 0.1802 0.1802 0.4783 0.0 0.5 0.4667 nan
0.0783 29.0 435 0.8113 1.0188 1.0188 0.7469 0.7469 0.1985 0.1985 0.4783 0.0 0.5 0.4667 nan
0.0773 30.0 450 0.8129 1.0197 1.0197 0.7494 0.7494 0.1970 0.1970 0.4783 0.0 0.5 0.4667 nan
Framework versions
  • Transformers 4.16.2
  • Pytorch 1.10.2+cu113
  • Datasets 1.18.3
  • Tokenizers 0.11.0

Runs of responsibility-framing predict-perception-bert-focus-concept on huggingface.co

5
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24-hour runs
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3-day runs
1
7-day runs
2
30-day runs

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