generated_from_trainer

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V3_20230929-4-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
4.6198 0.46 200 0.35 nan
4.1243 0.91 400 0.3244 nan
3.7837 1.37 600 0.3273 nan
3.7335 1.82 800 0.3293 nan
3.4681 2.28 1000 0.3963 nan
3.4469 2.73 1200 0.4186 nan
3.3005 3.19 1400 0.4307 3.0076
3.2722 3.64 1600 0.4257 nan
3.3514 4.1 1800 0.4832 2.5834
3.0384 4.56 2000 0.4397 2.9867
3.0971 5.01 2200 0.3799 nan
2.903 5.47 2400 0.5107 2.6798
3.006 5.92 2600 0.4504 2.9205
2.7999 6.38 2800 0.4809 nan
2.8268 6.83 3000 0.4321 2.5767
2.8814 7.29 3200 0.4706 2.7337
2.6975 7.74 3400 0.4831 nan
2.7642 8.2 3600 0.4669 2.8202
2.8996 8.66 3800 0.5187 2.7733
2.6657 9.11 4000 0.4697 nan
2.7318 9.57 4200 0.4532 nan
2.7065 10.02 4400 0.4785 2.5715
2.5635 10.48 4600 0.4969 2.8287
2.5543 10.93 4800 0.4909 2.3697
2.5284 11.39 5000 0.4706 nan
2.5401 11.85 5200 0.4679 nan
2.4722 12.3 5400 0.4983 2.3692
2.5367 12.76 5600 0.5663 nan
2.5331 13.21 5800 0.525 nan
2.183 13.67 6000 0.5137 2.3417
2.4319 14.12 6200 0.5409 2.2783
2.4168 14.58 6400 0.4828 2.7092

Framework versions