generated_from_keras_callback

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pretrained-bert-uncased-50

This model is a fine-tuned version of on an unknown 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

Train Loss Validation Loss Epoch
8.9180 9.5765 0
7.0631 9.6436 1
6.5662 10.4855 2
6.1181 10.4295 3
6.2069 10.4589 4
5.9769 11.0551 5
6.1633 10.8653 6
5.9430 11.3191 7
5.7405 10.9468 8
5.8629 11.1128 9
5.8546 11.6032 10
5.7616 12.0396 11
5.7221 11.4718 12
5.8037 11.6265 13
5.8047 11.7407 14
5.6255 11.9321 15
5.7123 11.9664 16
5.7439 12.3851 17
5.6358 11.7695 18
5.6334 12.1840 19
5.7475 12.3386 20
5.6651 12.1824 21
5.6864 12.1818 22
5.7437 12.1632 23
5.5457 12.3682 24
5.4805 12.2731 25
5.7177 12.7105 26
5.6454 12.3077 27
5.6164 12.4352 28
5.8538 12.2957 29
5.6449 12.4987 30
5.5644 12.6280 31
5.8275 12.5619 32
5.5706 13.0127 33
5.6039 12.4849 34
5.6839 12.2682 35
5.6085 12.5530 36
5.5826 12.4190 37
5.5802 12.8276 38
5.6272 12.9266 39
5.4752 13.0355 40
5.5738 12.8739 41
5.6231 13.1363 42
5.5497 12.6590 43
5.6278 13.0785 44
5.4599 13.0727 45
5.5782 13.2001 46
5.5343 13.4125 47
5.4846 13.3727 48
5.6891 13.0813 49

Framework versions