pixel-base-finetuned-qnli

作者 Team-PIXEL · 下载 1 · 点赞 0 · 更新 2023-10-31

generated_from_trainer

pixel-base-finetuned-qnli

This model is a fine-tuned version of Team-PIXEL/pixel-base on the GLUE QNLI 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 Accuracy
0.5451 0.31 500 0.5379 0.7282
0.4451 0.61 1000 0.3846 0.8318
0.4567 0.92 1500 0.3543 0.8525
0.3558 1.22 2000 0.3294 0.8638
0.3324 1.53 2500 0.3221 0.8666
0.3434 1.83 3000 0.2976 0.8774
0.2573 2.14 3500 0.3193 0.8750
0.2411 2.44 4000 0.3044 0.8794
0.253 2.75 4500 0.2932 0.8834
0.1653 3.05 5000 0.3364 0.8841
0.1662 3.36 5500 0.3348 0.8797
0.1816 3.67 6000 0.3440 0.8869
0.1699 3.97 6500 0.3453 0.8845
0.1027 4.28 7000 0.4277 0.8810
0.0987 4.58 7500 0.4590 0.8832
0.0974 4.89 8000 0.4311 0.8783
0.0669 5.19 8500 0.5214 0.8819
0.0583 5.5 9000 0.5776 0.8850
0.065 5.8 9500 0.5646 0.8821
0.0381 6.11 10000 0.6252 0.8796
0.0314 6.41 10500 0.7222 0.8801
0.0453 6.72 11000 0.6951 0.8823
0.0264 7.03 11500 0.7620 0.8828
0.0215 7.33 12000 0.8160 0.8834
0.0176 7.64 12500 0.8583 0.8828
0.0245 7.94 13000 0.8484 0.8867
0.0124 8.25 13500 0.8927 0.8836
0.0112 8.55 14000 0.9368 0.8827
0.0154 8.86 14500 0.9405 0.8860
0.0046 9.16 15000 0.9503 0.8860

Framework versions