generated_from_trainer

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spellcorrector_1009_v1

This model is a fine-tuned version of google/canine-s on the None 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
0.2712 1.0 1951 0.2093 0.9634 0.9655 0.9645 0.9423
0.2165 2.0 3902 0.1618 0.9645 0.9671 0.9658 0.9541
0.1801 3.0 5853 0.1308 0.9667 0.9708 0.9687 0.9641
0.1473 4.0 7804 0.1003 0.9714 0.9734 0.9724 0.9713
0.1278 5.0 9755 0.0872 0.9761 0.9772 0.9766 0.9757
0.1058 6.0 11706 0.0774 0.9752 0.9825 0.9788 0.9779
0.0948 7.0 13657 0.0682 0.9815 0.9851 0.9833 0.9806
0.0865 8.0 15608 0.0609 0.9847 0.9899 0.9873 0.9825
0.0812 9.0 17559 0.0516 0.9842 0.9904 0.9873 0.9849
0.071 10.0 19510 0.0477 0.9873 0.9926 0.9899 0.9862
0.0658 11.0 21461 0.0404 0.9873 0.9920 0.9897 0.9880
0.0571 12.0 23412 0.0360 0.9899 0.9915 0.9907 0.9891
0.0512 13.0 25363 0.0316 0.9905 0.9936 0.9920 0.9904
0.0511 14.0 27314 0.0307 0.9884 0.9936 0.9910 0.9908
0.047 15.0 29265 0.0261 0.9921 0.9947 0.9934 0.9919
0.0413 16.0 31216 0.0239 0.9926 0.9958 0.9942 0.9925
0.0412 17.0 33167 0.0220 0.9947 0.9963 0.9955 0.9932
0.0371 18.0 35118 0.0206 0.9947 0.9963 0.9955 0.9936
0.0368 19.0 37069 0.0191 0.9947 0.9968 0.9958 0.9940
0.032 20.0 39020 0.0188 0.9947 0.9968 0.9958 0.9941

Framework versions