generated_from_trainer

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Yepes_2e-05_250

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext 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
0.8467 1.39 25 0.2149 0.0 0.0 0.0 0.9672
0.1988 2.78 50 0.1959 0.0 0.0 0.0 0.9672
0.156 4.17 75 0.1439 0.3268 0.2065 0.2530 0.9691
0.1128 5.56 100 0.1324 0.49 0.2438 0.3256 0.9730
0.0978 6.94 125 0.1222 0.4964 0.3433 0.4059 0.9747
0.0788 8.33 150 0.1154 0.5193 0.3682 0.4309 0.9760
0.067 9.72 175 0.1162 0.4711 0.3856 0.4241 0.9749
0.058 11.11 200 0.1236 0.5275 0.3582 0.4267 0.9761
0.0491 12.5 225 0.1177 0.4940 0.4104 0.4484 0.9754
0.0443 13.89 250 0.1235 0.5472 0.4179 0.4739 0.9767
0.0383 15.28 275 0.1198 0.5764 0.4502 0.5056 0.9770
0.0369 16.67 300 0.1219 0.5892 0.4602 0.5168 0.9776
0.0326 18.06 325 0.1261 0.7 0.4701 0.5625 0.9790
0.0305 19.44 350 0.1269 0.6904 0.4826 0.5681 0.9787
0.0269 20.83 375 0.1252 0.6656 0.5 0.5710 0.9783
0.025 22.22 400 0.1253 0.6529 0.5100 0.5726 0.9782
0.0244 23.61 425 0.1284 0.6875 0.4925 0.5739 0.9790
0.0224 25.0 450 0.1279 0.6833 0.5100 0.5840 0.9788

Framework versions