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. -->

bertweet-base-Twitter_Sentiment_Analysis_v3

This model is a fine-tuned version of vinai/bertweet-base 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 Accuracy Weighted f1 Micro f1 Macro f1 Weighted recall Micro recall Macro recall Weighted precision Micro precision Macro precision
0.4404 1.0 149 0.2815 0.8314 0.8153 0.8314 0.7660 0.8314 0.8314 0.7560 0.8331 0.8314 0.8244
0.2493 2.0 298 0.2558 0.8588 0.8523 0.8588 0.8151 0.8588 0.8588 0.7961 0.8554 0.8588 0.8463
0.1905 3.0 447 0.2734 0.8580 0.8534 0.8580 0.8164 0.8580 0.8580 0.8094 0.8553 0.8580 0.8326
0.1504 4.0 596 0.3150 0.8631 0.8607 0.8631 0.8247 0.8631 0.8631 0.8291 0.8627 0.8631 0.8279
0.112 5.0 745 0.3451 0.8564 0.8522 0.8564 0.8145 0.8564 0.8564 0.8136 0.8544 0.8564 0.8254
0.0885 6.0 894 0.3929 0.8576 0.8532 0.8576 0.8158 0.8576 0.8576 0.8123 0.8554 0.8576 0.8293
0.0735 7.0 1043 0.4233 0.8564 0.8541 0.8564 0.8164 0.8564 0.8564 0.8128 0.8535 0.8564 0.8225
0.0642 8.0 1192 0.4454 0.8525 0.8495 0.8525 0.8106 0.8525 0.8525 0.8055 0.8491 0.8525 0.8192
0.0512 9.0 1341 0.5098 0.8537 0.8543 0.8537 0.8194 0.8537 0.8537 0.8261 0.8552 0.8537 0.8133
0.0448 10.0 1490 0.5268 0.8537 0.8538 0.8537 0.8170 0.8537 0.8537 0.8256 0.8549 0.8537 0.8101
0.038 11.0 1639 0.5076 0.8564 0.8555 0.8564 0.8195 0.8564 0.8564 0.8209 0.8551 0.8564 0.8191
0.0357 12.0 1788 0.5141 0.8552 0.8541 0.8552 0.8178 0.8552 0.8552 0.8207 0.8541 0.8552 0.8171

Framework versions