generated_from_trainer

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REPROCESO4.0

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 0.79 100 0.0191 0.9482 0.9951 0.9711 0.9973
No log 1.57 200 0.0213 0.9527 0.9951 0.9734 0.9976
No log 2.36 300 0.0222 0.9527 0.9951 0.9734 0.9976
No log 3.15 400 0.0216 0.9527 0.9951 0.9734 0.9976
0.0336 3.94 500 0.0231 0.9527 0.9951 0.9734 0.9976
0.0336 4.72 600 0.0245 0.9527 0.9951 0.9734 0.9976
0.0336 5.51 700 0.0246 0.9527 0.9951 0.9734 0.9976
0.0336 6.3 800 0.0220 0.9527 0.9951 0.9734 0.9976
0.0336 7.09 900 0.0248 0.9527 0.9951 0.9734 0.9976
0.0011 7.87 1000 0.0259 0.9502 0.9901 0.9698 0.9973
0.0011 8.66 1100 0.0257 0.9527 0.9951 0.9734 0.9976
0.0011 9.45 1200 0.0264 0.9527 0.9951 0.9734 0.9976
0.0011 10.24 1300 0.0272 0.9527 0.9951 0.9734 0.9976
0.0011 11.02 1400 0.0273 0.9527 0.9951 0.9734 0.9976
0.0002 11.81 1500 0.0276 0.9527 0.9951 0.9734 0.9976
0.0002 12.6 1600 0.0278 0.9527 0.9951 0.9734 0.9976
0.0002 13.39 1700 0.0280 0.9527 0.9951 0.9734 0.9976
0.0002 14.17 1800 0.0281 0.9527 0.9951 0.9734 0.9976
0.0002 14.96 1900 0.0282 0.9527 0.9951 0.9734 0.9976
0.0001 15.75 2000 0.0282 0.9527 0.9951 0.9734 0.9976

Framework versions