generated_from_trainer

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distilbert-qa-checkpoint-v2

This model is a fine-tuned version of distilbert-base-uncased on the None 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 Validation Loss
0.6564 1.0 658 0.3612
0.3397 2.0 1316 0.3361
0.2885 3.0 1974 0.3515
0.2407 4.0 2632 0.3672
0.2213 5.0 3290 0.3718
0.2197 6.0 3948 0.3967
0.1986 7.0 4606 0.4115
0.1932 8.0 5264 0.4152
0.19 9.0 5922 0.4208
0.1844 10.0 6580 0.4472
0.1824 11.0 7238 0.4466
0.1812 12.0 7896 0.2695
0.0078 13.0 8554 0.2824
0.0073 14.0 9212 0.2793
0.0048 15.0 9870 0.3107
0.0033 16.0 10528 0.3074
0.0022 17.0 11186 0.3073
0.0038 18.0 11844 0.3147
0.0013 19.0 12502 0.3160
0.0008 20.0 13160 0.3141

Framework versions