generated_from_trainer

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perioli_manifesti_v5.6

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 0.47 100 0.1846 0.6553 0.7448 0.6972 0.9597
No log 0.93 200 0.0547 0.8780 0.9182 0.8977 0.9865
No log 1.4 300 0.0442 0.9007 0.9371 0.9185 0.9895
No log 1.87 400 0.0446 0.8823 0.9362 0.9085 0.9886
0.1459 2.34 500 0.0360 0.8995 0.9488 0.9235 0.9908
0.1459 2.8 600 0.0315 0.9205 0.9569 0.9383 0.9923
0.1459 3.27 700 0.0309 0.9316 0.9668 0.9489 0.9937
0.1459 3.74 800 0.0259 0.9121 0.9506 0.9309 0.9918
0.1459 4.21 900 0.0267 0.9264 0.9614 0.9436 0.9941
0.0247 4.67 1000 0.0272 0.9282 0.9641 0.9458 0.9937
0.0247 5.14 1100 0.0221 0.9355 0.9641 0.9496 0.9947
0.0247 5.61 1200 0.0236 0.9494 0.9614 0.9554 0.9946
0.0247 6.07 1300 0.0331 0.9050 0.9416 0.9229 0.9898
0.0247 6.54 1400 0.0199 0.9278 0.9587 0.9430 0.9936
0.016 7.01 1500 0.0180 0.9465 0.9533 0.9499 0.9947
0.016 7.48 1600 0.0236 0.9437 0.9641 0.9538 0.9951
0.016 7.94 1700 0.0220 0.9359 0.9704 0.9528 0.9946
0.016 8.41 1800 0.0271 0.9185 0.9623 0.9399 0.9923
0.016 8.88 1900 0.0315 0.9294 0.9695 0.9490 0.9936
0.011 9.35 2000 0.0305 0.9186 0.9632 0.9404 0.9926
0.011 9.81 2100 0.0286 0.9271 0.9596 0.9430 0.9930
0.011 10.28 2200 0.0242 0.9296 0.9497 0.9396 0.9928
0.011 10.75 2300 0.0316 0.9183 0.9488 0.9333 0.9908
0.011 11.21 2400 0.0293 0.9311 0.9596 0.9451 0.9932
0.0069 11.68 2500 0.0285 0.9297 0.9632 0.9462 0.9932
0.0069 12.15 2600 0.0309 0.9114 0.9524 0.9315 0.9918
0.0069 12.62 2700 0.0290 0.9206 0.9587 0.9393 0.9928
0.0069 13.08 2800 0.0270 0.9323 0.9650 0.9483 0.9937
0.0069 13.55 2900 0.0249 0.9363 0.9641 0.9500 0.9941
0.0059 14.02 3000 0.0273 0.9297 0.9632 0.9462 0.9933
0.0059 14.49 3100 0.0271 0.9278 0.9587 0.9430 0.9930
0.0059 14.95 3200 0.0297 0.9248 0.9614 0.9427 0.9928
0.0059 15.42 3300 0.0275 0.9305 0.9623 0.9461 0.9933
0.0059 15.89 3400 0.0275 0.9296 0.9605 0.9448 0.9933
0.0047 16.36 3500 0.0271 0.9305 0.9623 0.9461 0.9934

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