generated_from_trainer

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V3_20230929-6-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
4.4638 0.46 200 0.2889 nan
4.1893 0.91 400 0.3536 nan
3.9393 1.37 600 0.3672 nan
3.6824 1.82 800 0.3609 nan
3.5332 2.28 1000 0.4353 nan
3.5164 2.73 1200 0.4039 3.3258
3.3856 3.19 1400 0.4489 2.4897
3.454 3.64 1600 0.4209 3.2397
3.2161 4.1 1800 0.4620 2.7198
3.175 4.56 2000 0.4476 nan
3.1915 5.01 2200 0.4670 2.6543
2.8989 5.47 2400 0.4640 2.8110
2.8575 5.92 2600 0.4848 nan
2.9779 6.38 2800 0.4438 nan
2.9945 6.83 3000 0.4869 2.5596
2.8321 7.29 3200 0.4474 2.5483
2.7283 7.74 3400 0.4553 2.9584
2.7695 8.2 3600 0.4645 2.3643
2.9078 8.66 3800 0.5055 nan
2.6554 9.11 4000 0.5202 2.3099
2.6683 9.57 4200 0.4558 nan
2.7513 10.02 4400 0.5183 2.5005
2.7285 10.48 4600 0.5042 nan
2.5985 10.93 4800 0.5432 2.4976
2.5506 11.39 5000 0.5073 nan
2.5256 11.85 5200 0.5095 2.4731
2.4992 12.3 5400 0.5710 nan
2.5342 12.76 5600 0.5644 nan
2.7334 13.21 5800 0.5241 2.2573
2.6112 13.67 6000 0.5714 1.9512
2.3563 14.12 6200 0.5301 nan
2.4953 14.58 6400 0.5780 2.1766

Framework versions