generated_from_trainer

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V3_20230929-1-xlm-roberta-base-new

This model is a fine-tuned version of xlm-roberta-base 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 Accuracy Validation Loss
4.5743 0.46 200 0.3185 3.6252
4.0617 0.91 400 0.3300 3.5165
3.7835 1.37 600 0.3238 nan
3.7415 1.82 800 0.3733 nan
3.6084 2.28 1000 0.3711 3.4266
3.5224 2.73 1200 0.3966 nan
3.4781 3.19 1400 0.4110 3.0491
3.2402 3.64 1600 0.4381 3.3243
3.1612 4.1 1800 0.4764 nan
3.0672 4.56 2000 0.4293 2.6114
3.0975 5.01 2200 0.4415 nan
3.0579 5.47 2400 0.4760 2.6061
3.0349 5.92 2600 0.5012 2.6430
2.9009 6.38 2800 0.5101 2.6843
3.0346 6.83 3000 0.4803 2.7765
2.7554 7.29 3200 0.4866 nan
2.6926 7.74 3400 0.5105 2.8698
2.8284 8.2 3600 0.5038 2.5535
2.8385 8.66 3800 0.5465 2.5647
2.731 9.11 4000 0.5355 nan
2.6252 9.57 4200 0.5062 2.7420
2.5493 10.02 4400 0.5570 2.4540
2.649 10.48 4600 0.5495 2.4343
2.6669 10.93 4800 0.5365 2.2657
2.4549 11.39 5000 0.5508 2.4005
2.5627 11.85 5200 0.6057 nan
2.5328 12.3 5400 0.5943 2.0599
2.6162 12.76 5600 0.5167 nan
2.5906 13.21 5800 0.5518 2.1281
2.542 13.67 6000 0.5847 nan
2.4217 14.12 6200 0.5498 nan
2.4402 14.58 6400 0.5884 nan

Framework versions