generated_from_trainer

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Team-Gryffindor-distilbert-base-finetuned-NER-creditcardcontract-100epoch

This model is a fine-tuned version of distilbert-base-uncased on the Credit card agreement dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0113 0.33 500 0.0443 0.6547 0.7028 0.6779 0.9908
0.0118 0.67 1000 0.0435 0.7207 0.6440 0.6802 0.9916
0.013 1.0 1500 0.0449 0.7113 0.6826 0.6966 0.9918
0.0113 1.34 2000 0.0434 0.7213 0.6697 0.6946 0.9915
0.0121 1.67 2500 0.0467 0.6955 0.6789 0.6871 0.9914
0.0125 2.01 3000 0.0417 0.7095 0.6991 0.7043 0.9920
0.0106 2.34 3500 0.0437 0.7191 0.6624 0.6896 0.9918
0.0114 2.68 4000 0.0468 0.7165 0.6679 0.6914 0.9920
0.0125 3.01 4500 0.0431 0.6888 0.6862 0.6875 0.9917
0.0107 3.35 5000 0.0446 0.7184 0.6459 0.6802 0.9913
0.0096 3.68 5500 0.0485 0.6926 0.6532 0.6723 0.9912
0.013 4.02 6000 0.0448 0.6134 0.6697 0.6404 0.9907
0.0102 4.35 6500 0.0497 0.6895 0.6642 0.6766 0.9913
0.0112 4.69 7000 0.0464 0.6759 0.6697 0.6728 0.9910
0.0117 5.02 7500 0.0484 0.7451 0.6275 0.6813 0.9916
0.0114 5.36 8000 0.0411 0.7086 0.6826 0.6953 0.9919
0.0108 5.69 8500 0.0443 0.7041 0.6679 0.6855 0.9916
0.0109 6.03 9000 0.0470 0.7228 0.6697 0.6952 0.9916
0.0099 6.36 9500 0.0471 0.7253 0.6881 0.7062 0.9913
0.0103 6.7 10000 0.0430 0.6986 0.7101 0.7043 0.9914
0.0117 7.03 10500 0.0462 0.7327 0.6991 0.7155 0.9918
0.0098 7.37 11000 0.0483 0.6910 0.6771 0.6840 0.9914
0.0107 7.7 11500 0.0468 0.7189 0.6899 0.7041 0.9916
0.0119 8.04 12000 0.0434 0.6970 0.6881 0.6925 0.9918
0.0112 8.37 12500 0.0469 0.7007 0.6917 0.6962 0.9918
0.011 8.71 13000 0.0469 0.6736 0.6514 0.6623 0.9914
0.0101 9.04 13500 0.0451 0.6691 0.6606 0.6648 0.9913
0.0099 9.38 14000 0.0462 0.7006 0.6826 0.6914 0.9918
0.0107 9.71 14500 0.0444 0.6840 0.6752 0.6796 0.9915
0.0118 10.05 15000 0.0457 0.7015 0.6771 0.6891 0.9918
0.0102 10.38 15500 0.0500 0.7413 0.6679 0.7027 0.9919
0.0107 10.72 16000 0.0470 0.7319 0.7064 0.7190 0.9920

Framework versions