generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Regression_AlBERT_aug_MSEloss

This model is a fine-tuned version of albert-base-v2 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

Training Loss Epoch Step Validation Loss Mse Mae R2 Accuracy
No log 1.0 263 0.2554 0.2554 0.3841 0.4041 0.6867
0.2379 2.0 526 0.1471 0.1471 0.2426 0.6568 0.86
0.2379 3.0 789 0.1189 0.1189 0.2212 0.7226 0.8633
0.0845 4.0 1052 0.1052 0.1052 0.2121 0.7546 0.8767
0.0845 5.0 1315 0.0913 0.0913 0.1642 0.7869 0.9067
0.0441 6.0 1578 0.0610 0.0610 0.1272 0.8577 0.9467
0.0441 7.0 1841 0.0594 0.0594 0.0965 0.8614 0.9433
0.0269 8.0 2104 0.0750 0.0750 0.1312 0.8249 0.93
0.0269 9.0 2367 0.0544 0.0544 0.0998 0.8731 0.95
0.0218 10.0 2630 0.0680 0.0680 0.1031 0.8413 0.93
0.0218 11.0 2893 0.0486 0.0486 0.1015 0.8867 0.9533
0.0141 12.0 3156 0.0582 0.0582 0.1056 0.8643 0.95
0.0141 13.0 3419 0.0494 0.0494 0.0832 0.8847 0.9533
0.0112 14.0 3682 0.0561 0.0561 0.0927 0.8690 0.9467
0.0112 15.0 3945 0.0576 0.0576 0.0833 0.8656 0.9467
0.0064 16.0 4208 0.0639 0.0639 0.0972 0.8509 0.9467
0.0064 17.0 4471 0.0657 0.0657 0.0971 0.8467 0.9367
0.0052 18.0 4734 0.0718 0.0718 0.0912 0.8325 0.94
0.0052 19.0 4997 0.0689 0.0689 0.0883 0.8392 0.94
0.0031 20.0 5260 0.0601 0.0601 0.0816 0.8598 0.9433

Framework versions