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. -->

scenario-non-kd-from-pre-finetune-div-2-data-indolem_sentiment-model-xlm-roberta

This model is a fine-tuned version of 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 0.5662 0.6316 0.6059
No log 1.75 200 0.5076 0.7719 0.5027
No log 2.63 300 0.4662 0.7870 0.6840
No log 3.51 400 0.4502 0.8045 0.6355
0.3694 4.39 500 0.4589 0.8271 0.7229
0.3694 5.26 600 0.6513 0.7995 0.7122
0.3694 6.14 700 0.6380 0.8446 0.7281
0.3694 7.02 800 0.4913 0.8396 0.7168
0.3694 7.89 900 0.5121 0.8571 0.7554
0.1278 8.77 1000 0.6421 0.8471 0.7589
0.1278 9.65 1100 0.8509 0.8145 0.7357
0.1278 10.53 1200 0.6999 0.8145 0.7319
0.1278 11.4 1300 0.7779 0.8596 0.7607
0.1278 12.28 1400 0.6500 0.8647 0.7672
0.0596 13.16 1500 1.0323 0.8195 0.6129
0.0596 14.04 1600 0.7717 0.8747 0.7863
0.0596 14.91 1700 1.1000 0.8521 0.7378
0.0596 15.79 1800 0.8132 0.8521 0.7592
0.0596 16.67 1900 1.1240 0.8471 0.7265
0.0262 17.54 2000 0.9593 0.7970 0.7138
0.0262 18.42 2100 1.0002 0.8271 0.7435
0.0262 19.3 2200 0.8668 0.8371 0.7451
0.0262 20.18 2300 1.2142 0.8321 0.7331
0.0262 21.05 2400 0.9675 0.8546 0.7434
0.0276 21.93 2500 0.8832 0.8396 0.7377
0.0276 22.81 2600 1.0502 0.8371 0.7280
0.0276 23.68 2700 1.0822 0.8421 0.7407
0.0276 24.56 2800 0.8621 0.8321 0.7287
0.0276 25.44 2900 1.2150 0.8296 0.6881
0.0244 26.32 3000 0.9965 0.8446 0.7257
0.0244 27.19 3100 0.8749 0.8471 0.7570

Framework versions