generated_from_trainer

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perioli_manifesti_v5.5

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 0.1417 0.7345 0.8005 0.7661 0.9660
No log 0.94 200 0.0495 0.8930 0.9218 0.9072 0.9884
No log 1.42 300 0.0597 0.8416 0.9263 0.8820 0.9812
No log 1.89 400 0.0368 0.9109 0.9551 0.9325 0.9912
0.137 2.36 500 0.0357 0.9051 0.9515 0.9277 0.9901
0.137 2.83 600 0.0297 0.9245 0.9578 0.9409 0.9926
0.137 3.3 700 0.0294 0.9157 0.9560 0.9354 0.9918
0.137 3.77 800 0.0314 0.9190 0.9587 0.9384 0.9922
0.137 4.25 900 0.0252 0.9348 0.9659 0.9501 0.9939
0.0226 4.72 1000 0.0300 0.9307 0.9659 0.9480 0.9934
0.0226 5.19 1100 0.0295 0.9213 0.9569 0.9387 0.9926
0.0226 5.66 1200 0.0279 0.9283 0.9650 0.9463 0.9934
0.0226 6.13 1300 0.0258 0.9234 0.9641 0.9433 0.9932
0.0226 6.6 1400 0.0255 0.9275 0.9650 0.9458 0.9939
0.0161 7.08 1500 0.0319 0.9257 0.9623 0.9436 0.9932
0.0161 7.55 1600 0.0235 0.9331 0.9650 0.9488 0.9944
0.0161 8.02 1700 0.0308 0.9198 0.9587 0.9388 0.9925
0.0161 8.49 1800 0.0292 0.9265 0.9632 0.9445 0.9930
0.0161 8.96 1900 0.0251 0.9282 0.9641 0.9458 0.9934
0.0106 9.43 2000 0.0223 0.9229 0.9578 0.9400 0.9932
0.0106 9.91 2100 0.0253 0.9223 0.9596 0.9406 0.9930
0.0106 10.38 2200 0.0299 0.9196 0.9560 0.9374 0.9929
0.0106 10.85 2300 0.0240 0.9235 0.9542 0.9386 0.9934
0.0106 11.32 2400 0.0289 0.9166 0.9479 0.9320 0.9922
0.0079 11.79 2500 0.0236 0.9196 0.9452 0.9322 0.9923
0.0079 12.26 2600 0.0271 0.9234 0.9533 0.9381 0.9930
0.0079 12.74 2700 0.0267 0.9337 0.9614 0.9473 0.9943
0.0079 13.21 2800 0.0277 0.9337 0.9614 0.9473 0.9943
0.0079 13.68 2900 0.0279 0.9350 0.9686 0.9515 0.9946
0.0058 14.15 3000 0.0282 0.9240 0.9497 0.9366 0.9925
0.0058 14.62 3100 0.0281 0.9260 0.9551 0.9403 0.9937
0.0058 15.09 3200 0.0258 0.9248 0.9506 0.9375 0.9934
0.0058 15.57 3300 0.0253 0.9300 0.9551 0.9424 0.9940
0.0058 16.04 3400 0.0271 0.9248 0.9506 0.9375 0.9934
0.0037 16.51 3500 0.0275 0.9266 0.9524 0.9393 0.9936

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