alex2awesome / source-role-model

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: -2
30-day runs: -1
Model's Last Updated: July 11 2023

Introduction of source-role-model

Model Details of source-role-model

source-role-model

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

  • Loss: 2.5543
  • F1: 0.5814
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: 5e-05
  • train_batch_size: 5
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0
Training results
Training Loss Epoch Step Validation Loss F1
No log 0.12 100 1.0000 0.3391
No log 0.25 200 0.8371 0.5055
No log 0.37 300 0.8684 0.5019
No log 0.49 400 0.8668 0.5208
0.9644 0.62 500 0.8473 0.5422
0.9644 0.74 600 0.8852 0.4956
0.9644 0.86 700 0.8368 0.5124
0.9644 0.99 800 0.7913 0.5848
0.9644 1.11 900 1.0570 0.4950
0.8375 1.23 1000 0.9402 0.5280
0.8375 1.35 1100 0.8023 0.5084
0.8375 1.48 1200 0.9299 0.4807
0.8375 1.6 1300 0.9661 0.5194
0.8375 1.72 1400 0.8014 0.6016
0.8149 1.85 1500 0.8608 0.6105
0.8149 1.97 1600 0.9195 0.5741
0.8149 2.09 1700 1.2378 0.5964
0.8149 2.22 1800 1.0415 0.5902
0.8149 2.34 1900 1.0499 0.5526
0.6932 2.46 2000 1.0600 0.5832
0.6932 2.59 2100 0.9368 0.6074
0.6932 2.71 2200 1.0872 0.6270
0.6932 2.83 2300 1.0912 0.5707
0.6932 2.96 2400 0.8815 0.5602
0.6214 3.08 2500 1.1650 0.5993
0.6214 3.2 2600 1.4485 0.5821
0.6214 3.33 2700 1.5382 0.5775
0.6214 3.45 2800 1.3999 0.5696
0.6214 3.57 2900 1.3702 0.6114
0.5686 3.69 3000 1.3840 0.5635
0.5686 3.82 3100 1.3547 0.5403
0.5686 3.94 3200 1.0283 0.5723
0.5686 4.06 3300 1.3593 0.6242
0.5686 4.19 3400 1.5985 0.6004
0.4807 4.31 3500 1.5351 0.6177
0.4807 4.43 3600 1.4109 0.5779
0.4807 4.56 3700 1.6972 0.5637
0.4807 4.68 3800 1.5336 0.6047
0.4807 4.8 3900 1.7811 0.5909
0.4387 4.93 4000 1.5862 0.5869
0.4387 5.05 4100 1.7106 0.5637
0.4387 5.17 4200 1.5251 0.5624
0.4387 5.3 4300 1.5519 0.5944
0.4387 5.42 4400 1.7315 0.5908
0.3219 5.54 4500 1.7588 0.6015
0.3219 5.67 4600 1.9277 0.5635
0.3219 5.79 4700 1.7663 0.5891
0.3219 5.91 4800 1.8401 0.5917
0.3219 6.03 4900 2.0516 0.5845
0.2311 6.16 5000 2.0510 0.6166
0.2311 6.28 5100 2.1673 0.5732
0.2311 6.4 5200 2.0931 0.5819
0.2311 6.53 5300 2.2803 0.5961
0.2311 6.65 5400 1.9985 0.6010
0.1669 6.77 5500 2.1742 0.5664
0.1669 6.9 5600 2.1021 0.5732
0.1669 7.02 5700 2.2043 0.5641
0.1669 7.14 5800 2.2018 0.5837
0.1669 7.27 5900 2.3575 0.5721
0.1698 7.39 6000 2.4663 0.5662
0.1698 7.51 6100 2.2658 0.5851
0.1698 7.64 6200 2.1585 0.5676
0.1698 7.76 6300 2.1755 0.5774
0.1698 7.88 6400 2.2680 0.5696
0.1378 8.0 6500 2.3505 0.5615
0.1378 8.13 6600 2.2773 0.5705
0.1378 8.25 6700 2.3112 0.5662
0.1378 8.37 6800 2.4572 0.5679
0.1378 8.5 6900 2.4642 0.5766
0.0756 8.62 7000 2.4643 0.5885
0.0756 8.74 7100 2.5096 0.5779
0.0756 8.87 7200 2.4261 0.5789
0.0756 8.99 7300 2.3973 0.5757
0.0756 9.11 7400 2.4137 0.5906
0.0842 9.24 7500 2.4577 0.5844
0.0842 9.36 7600 2.5034 0.5840
0.0842 9.48 7700 2.5176 0.5810
0.0842 9.61 7800 2.5240 0.5852
0.0842 9.73 7900 2.5141 0.5824
0.0634 9.85 8000 2.5482 0.5814
0.0634 9.98 8100 2.5543 0.5814
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of alex2awesome source-role-model on huggingface.co

4
Total runs
0
24-hour runs
-2
3-day runs
-2
7-day runs
-1
30-day runs

More Information About source-role-model huggingface.co Model

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source-role-model huggingface.co

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https://huggingface.co/alex2awesome/source-role-model

source-role-model install

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https://huggingface.co/alex2awesome/source-role-model

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alex2awesome
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