generated_from_trainer

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V3_20230929-3-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
4.4138 0.46 200 0.2723 nan
4.0972 0.91 400 0.3135 nan
3.7299 1.37 600 0.3289 nan
3.7476 1.82 800 0.3242 3.6812
3.8098 2.28 1000 0.4011 3.5966
3.6111 2.73 1200 0.4 2.8744
3.3202 3.19 1400 0.4334 2.9269
3.3557 3.64 1600 0.3649 nan
3.198 4.1 1800 0.4349 nan
3.1623 4.56 2000 0.4237 2.9731
3.1379 5.01 2200 0.4521 nan
3.0795 5.47 2400 0.4538 2.8971
3.0176 5.92 2600 0.4138 3.0068
2.9956 6.38 2800 0.4729 nan
2.9666 6.83 3000 0.4674 2.3240
2.9124 7.29 3200 0.5039 nan
2.9806 7.74 3400 0.4457 nan
2.7471 8.2 3600 0.5138 2.4373
2.7762 8.66 3800 0.4963 2.4425
2.7485 9.11 4000 0.5302 nan
2.6488 9.57 4200 0.5499 2.3581
2.69 10.02 4400 0.5066 2.3862
2.6669 10.48 4600 0.4802 2.4588
2.5595 10.93 4800 0.4938 2.4186
2.5512 11.39 5000 0.5076 2.5922
2.5686 11.85 5200 0.5648 nan
2.5772 12.3 5400 0.5480 2.4634
2.5701 12.76 5600 0.5497 2.5381
2.3937 13.21 5800 0.5310 nan
2.5274 13.67 6000 0.5681 nan
2.3513 14.12 6200 0.5671 nan
2.529 14.58 6400 0.5509 2.1676

Framework versions