End of training

README.md

@@ -17,17 +17,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base) on the funsd-layoutlmv3 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 2.0243
-- eval_ANSWER: {'precision': 0.039603960396039604, 'recall': 0.2692778457772338, 'f1': 0.06905210295040803, 'number': 817}
-- eval_HEADER: {'precision': 0.0024509803921568627, 'recall': 0.01680672268907563, 'f1': 0.00427807486631016, 'number': 119}
-- eval_QUESTION: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 1077}
-- eval_overall_precision: 0.0310
-- eval_overall_recall: 0.1103
-- eval_overall_f1: 0.0484
-- eval_overall_accuracy: 0.1168
-- eval_runtime: 4.1649
-- eval_samples_per_second: 12.005
-- eval_steps_per_second: 1.681
+- eval_loss: 1.9291
+- eval_ANSWER: {'precision': 0.0166358595194085, 'recall': 0.044063647490820076, 'f1': 0.024152968802415294, 'number': 817}
+- eval_HEADER: {'precision': 0.004098360655737705, 'recall': 0.008403361344537815, 'f1': 0.005509641873278237, 'number': 119}
+- eval_QUESTION: {'precision': 0.08307501549907005, 'recall': 0.2488393686165274, 'f1': 0.12456425749477108, 'number': 1077}
+- eval_overall_precision: 0.0541
+- eval_overall_recall: 0.1515
+- eval_overall_f1: 0.0798
+- eval_overall_accuracy: 0.1625
+- eval_runtime: 4.0045
+- eval_samples_per_second: 12.486
+- eval_steps_per_second: 1.748
 - step: 0
 
 ## Model description

pytorch_model.bin

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