generated_from_trainer

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perioli_vgm_v7.7

This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie 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 Precision Recall F1 Accuracy
No log 0.38 100 0.0928 0.5340 0.4988 0.5158 0.9763
No log 0.75 200 0.0518 0.7512 0.7176 0.7341 0.9887
No log 1.13 300 0.0369 0.7555 0.8141 0.7837 0.9904
No log 1.5 400 0.0327 0.8182 0.8047 0.8114 0.9911
0.0775 1.88 500 0.0292 0.8018 0.8565 0.8282 0.9924
0.0775 2.26 600 0.0241 0.8444 0.8682 0.8561 0.9938
0.0775 2.63 700 0.0248 0.8694 0.8612 0.8652 0.9943
0.0775 3.01 800 0.0265 0.8866 0.9012 0.8938 0.9954
0.0775 3.38 900 0.0251 0.8979 0.8894 0.8936 0.9955
0.0143 3.76 1000 0.0218 0.9028 0.9176 0.9102 0.9960
0.0143 4.14 1100 0.0259 0.8498 0.8918 0.8703 0.9943
0.0143 4.51 1200 0.0276 0.8621 0.8824 0.8721 0.9950
0.0143 4.89 1300 0.0235 0.9038 0.9059 0.9048 0.9963
0.0143 5.26 1400 0.0254 0.9038 0.9059 0.9048 0.9963
0.0045 5.64 1500 0.0248 0.9005 0.8941 0.8973 0.9961
0.0045 6.02 1600 0.0316 0.8902 0.8965 0.8933 0.9947
0.0045 6.39 1700 0.0323 0.8575 0.8918 0.8743 0.9949
0.0045 6.77 1800 0.0288 0.9038 0.9059 0.9048 0.9960
0.0045 7.14 1900 0.0327 0.8986 0.8965 0.8975 0.9953
0.0031 7.52 2000 0.0281 0.8802 0.8988 0.8894 0.9954
0.0031 7.89 2100 0.0260 0.8907 0.92 0.9051 0.9957
0.0031 8.27 2200 0.0335 0.9133 0.8918 0.9024 0.9953
0.0031 8.65 2300 0.0299 0.9143 0.9035 0.9089 0.9957
0.0031 9.02 2400 0.0304 0.9091 0.8941 0.9015 0.9955
0.0017 9.4 2500 0.0296 0.8874 0.9082 0.8977 0.9953
0.0017 9.77 2600 0.0280 0.8912 0.9059 0.8985 0.9955
0.0017 10.15 2700 0.0285 0.8970 0.9012 0.8991 0.9953
0.0017 10.53 2800 0.0289 0.8912 0.9059 0.8985 0.9953
0.0017 10.9 2900 0.0295 0.9 0.9106 0.9053 0.9954
0.0009 11.28 3000 0.0308 0.8741 0.8988 0.8863 0.9950
0.0009 11.65 3100 0.0317 0.8904 0.8988 0.8946 0.9951
0.0009 12.03 3200 0.0339 0.8983 0.8941 0.8962 0.9949
0.0009 12.41 3300 0.0323 0.8946 0.8988 0.8967 0.9951
0.0009 12.78 3400 0.0310 0.8970 0.9012 0.8991 0.9952
0.0004 13.16 3500 0.0310 0.8970 0.9012 0.8991 0.9952

Framework versions