generated_from_trainer

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scenario-non-kd-from-post-finetune-div-2-data-indolem_sentiment-model-haryoaw-sc

This model is a fine-tuned version of haryoaw/scenario-normal-finetune-clf-data-indolem_sentiment-model-xlm-roberta-base on the indolem_sentiment 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 F1
No log 0.88 100 0.6692 0.7594 0.6962
No log 1.75 200 0.3987 0.8195 0.7429
No log 2.63 300 0.7587 0.8170 0.7591
No log 3.51 400 0.5380 0.8521 0.7592
0.2364 4.39 500 0.9505 0.8396 0.7576
0.2364 5.26 600 0.7528 0.8571 0.7692
0.2364 6.14 700 0.7176 0.8571 0.7511
0.2364 7.02 800 0.6990 0.8446 0.7395
0.2364 7.89 900 0.6388 0.8672 0.7745
0.0693 8.77 1000 0.5099 0.8596 0.7647
0.0693 9.65 1100 0.8001 0.8471 0.7608
0.0693 10.53 1200 0.6682 0.8847 0.8115
0.0693 11.4 1300 0.8207 0.8797 0.8140
0.0693 12.28 1400 0.9404 0.8596 0.7522
0.0412 13.16 1500 0.7976 0.8596 0.7586
0.0412 14.04 1600 0.8785 0.8672 0.7854
0.0412 14.91 1700 0.8712 0.8571 0.7532
0.0412 15.79 1800 1.0122 0.8596 0.7477
0.0412 16.67 1900 0.7452 0.8747 0.7899
0.0303 17.54 2000 1.0122 0.8622 0.7791
0.0303 18.42 2100 0.8764 0.8647 0.7611
0.0303 19.3 2200 0.8529 0.8697 0.7570
0.0303 20.18 2300 0.8582 0.8847 0.8034
0.0303 21.05 2400 1.0437 0.8571 0.7782
0.0204 21.93 2500 0.9941 0.8647 0.7632
0.0204 22.81 2600 1.0960 0.8546 0.7411
0.0204 23.68 2700 0.7326 0.8697 0.7615
0.0204 24.56 2800 1.0411 0.8647 0.7823

Framework versions