generated_from_trainer

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perioli_manifesti_v3.6

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 1.41 100 0.1184 0.8411 0.8920 0.8658 0.9817
No log 2.82 200 0.0671 0.8821 0.9072 0.8945 0.9840
No log 4.23 300 0.0739 0.8919 0.9223 0.9069 0.9863
No log 5.63 400 0.0534 0.9270 0.9621 0.9442 0.9909
0.1242 7.04 500 0.0917 0.8947 0.9015 0.8981 0.9856
0.1242 8.45 600 0.0773 0.9065 0.9186 0.9125 0.9873
0.1242 9.86 700 0.0836 0.8950 0.9205 0.9076 0.9863
0.1242 11.27 800 0.0803 0.9112 0.9129 0.9120 0.9873
0.1242 12.68 900 0.0914 0.8953 0.9072 0.9012 0.9860
0.0099 14.08 1000 0.0687 0.9069 0.9223 0.9146 0.9873
0.0099 15.49 1100 0.0889 0.9035 0.9223 0.9128 0.9873
0.0099 16.9 1200 0.0924 0.8980 0.9167 0.9072 0.9866
0.0099 18.31 1300 0.0858 0.9052 0.9223 0.9137 0.9873
0.0099 19.72 1400 0.0893 0.9019 0.9223 0.9120 0.9869
0.0043 21.13 1500 0.0893 0.9019 0.9223 0.9120 0.9869

Framework versions