generated_from_trainer

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V3_20230929-5-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
4.4963 0.46 200 0.2938 nan
4.0957 0.91 400 0.3098 3.5806
3.7431 1.37 600 0.3455 nan
3.6542 1.82 800 0.3075 nan
3.5585 2.28 1000 0.3546 3.4012
3.4027 2.73 1200 0.4049 3.2653
3.3416 3.19 1400 0.4053 nan
3.314 3.64 1600 0.4505 nan
3.2035 4.1 1800 0.4140 2.8518
3.1372 4.56 2000 0.4553 2.7572
3.0738 5.01 2200 0.4188 3.1020
3.0354 5.47 2400 0.4483 2.9353
3.0447 5.92 2600 0.4729 2.8608
2.6643 6.38 2800 0.4833 2.6200
2.8909 6.83 3000 0.4858 2.4677
2.9888 7.29 3200 0.4676 2.8088
2.8658 7.74 3400 0.5162 2.6409
2.7865 8.2 3600 0.5294 nan
2.8237 8.66 3800 0.4986 nan
2.7182 9.11 4000 0.5087 nan
2.7962 9.57 4200 0.5459 nan
2.5706 10.02 4400 0.4801 nan
2.528 10.48 4600 0.4893 2.2799
2.7482 10.93 4800 0.5227 nan
2.799 11.39 5000 0.4501 nan
2.471 11.85 5200 0.5323 2.4217
2.6071 12.3 5400 0.5420 nan
2.5139 12.76 5600 0.5511 2.1409
2.4214 13.21 5800 0.5215 2.4055
2.608 13.67 6000 0.5197 2.3034
2.5468 14.12 6200 0.5259 nan
2.4802 14.58 6400 0.5172 2.6032

Framework versions