End of training
Browse files- README.md +77 -0
- logs/events.out.tfevents.1679726849.df9aab9e2ba7.633.0 +2 -2
- logs/events.out.tfevents.1679728594.df9aab9e2ba7.633.2 +3 -0
- merges.txt +0 -0
- preprocessor_config.json +26 -0
- pytorch_model.bin +1 -1
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +85 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- funsd-layoutlmv3
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model-index:
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- name: lilt-en-funsd
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# lilt-en-funsd
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.6502
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- Answer: {'precision': 0.8637413394919169, 'recall': 0.9155446756425949, 'f1': 0.888888888888889, 'number': 817}
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- Header: {'precision': 0.625, 'recall': 0.5042016806722689, 'f1': 0.5581395348837209, 'number': 119}
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- Question: {'precision': 0.8934280639431617, 'recall': 0.9340761374187558, 'f1': 0.9133000453926464, 'number': 1077}
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- Overall Precision: 0.8688
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- Overall Recall: 0.9011
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- Overall F1: 0.8847
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- Overall Accuracy: 0.8015
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 2500
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Answer | Header | Question | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 0.4362 | 10.53 | 200 | 0.9773 | {'precision': 0.8193832599118943, 'recall': 0.9106487148102815, 'f1': 0.862608695652174, 'number': 817} | {'precision': 0.6666666666666666, 'recall': 0.3865546218487395, 'f1': 0.4893617021276595, 'number': 119} | {'precision': 0.8725490196078431, 'recall': 0.9090064995357474, 'f1': 0.8904047294224647, 'number': 1077} | 0.8428 | 0.8788 | 0.8604 | 0.7932 |
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| 0.0418 | 21.05 | 400 | 1.4204 | {'precision': 0.8056460369163952, 'recall': 0.9082007343941249, 'f1': 0.85385500575374, 'number': 817} | {'precision': 0.5684210526315789, 'recall': 0.453781512605042, 'f1': 0.5046728971962617, 'number': 119} | {'precision': 0.8854262144821264, 'recall': 0.8969359331476323, 'f1': 0.8911439114391144, 'number': 1077} | 0.8363 | 0.8753 | 0.8553 | 0.7870 |
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| 0.0118 | 31.58 | 600 | 1.5084 | {'precision': 0.8661137440758294, 'recall': 0.8947368421052632, 'f1': 0.8801926550270921, 'number': 817} | {'precision': 0.5575221238938053, 'recall': 0.5294117647058824, 'f1': 0.543103448275862, 'number': 119} | {'precision': 0.8864864864864865, 'recall': 0.9136490250696379, 'f1': 0.8998628257887517, 'number': 1077} | 0.8602 | 0.8833 | 0.8716 | 0.7938 |
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| 0.0116 | 42.11 | 800 | 1.4934 | {'precision': 0.8497109826589595, 'recall': 0.8996328029375765, 'f1': 0.8739595719381689, 'number': 817} | {'precision': 0.6068376068376068, 'recall': 0.5966386554621849, 'f1': 0.6016949152542374, 'number': 119} | {'precision': 0.8835489833641405, 'recall': 0.8876508820798514, 'f1': 0.8855951829550718, 'number': 1077} | 0.8537 | 0.8753 | 0.8644 | 0.7963 |
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| 0.0046 | 52.63 | 1000 | 1.6502 | {'precision': 0.8637413394919169, 'recall': 0.9155446756425949, 'f1': 0.888888888888889, 'number': 817} | {'precision': 0.625, 'recall': 0.5042016806722689, 'f1': 0.5581395348837209, 'number': 119} | {'precision': 0.8934280639431617, 'recall': 0.9340761374187558, 'f1': 0.9133000453926464, 'number': 1077} | 0.8688 | 0.9011 | 0.8847 | 0.8015 |
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| 0.0025 | 63.16 | 1200 | 1.6009 | {'precision': 0.8503480278422274, 'recall': 0.8971848225214198, 'f1': 0.8731387730792138, 'number': 817} | {'precision': 0.651685393258427, 'recall': 0.48739495798319327, 'f1': 0.5576923076923077, 'number': 119} | {'precision': 0.8716392020815265, 'recall': 0.9331476323119777, 'f1': 0.9013452914798208, 'number': 1077} | 0.8536 | 0.8922 | 0.8725 | 0.8073 |
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| 0.0016 | 73.68 | 1400 | 1.6601 | {'precision': 0.8872727272727273, 'recall': 0.8959608323133414, 'f1': 0.8915956151035324, 'number': 817} | {'precision': 0.67, 'recall': 0.5630252100840336, 'f1': 0.6118721461187214, 'number': 119} | {'precision': 0.8820375335120644, 'recall': 0.9164345403899722, 'f1': 0.8989071038251366, 'number': 1077} | 0.8738 | 0.8872 | 0.8805 | 0.7977 |
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| 0.0006 | 84.21 | 1600 | 1.6735 | {'precision': 0.8774038461538461, 'recall': 0.8935128518971848, 'f1': 0.8853850818677986, 'number': 817} | {'precision': 0.6636363636363637, 'recall': 0.6134453781512605, 'f1': 0.6375545851528385, 'number': 119} | {'precision': 0.8782452999104745, 'recall': 0.9108635097493036, 'f1': 0.8942570647219691, 'number': 1077} | 0.8664 | 0.8862 | 0.8762 | 0.7997 |
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| 0.0006 | 94.74 | 1800 | 1.6672 | {'precision': 0.8755980861244019, 'recall': 0.8959608323133414, 'f1': 0.8856624319419237, 'number': 817} | {'precision': 0.6545454545454545, 'recall': 0.6050420168067226, 'f1': 0.62882096069869, 'number': 119} | {'precision': 0.8800705467372134, 'recall': 0.9266480965645311, 'f1': 0.902758932609679, 'number': 1077} | 0.8663 | 0.8952 | 0.8805 | 0.8010 |
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| 0.0004 | 105.26 | 2000 | 1.6652 | {'precision': 0.8880866425992779, 'recall': 0.9033047735618115, 'f1': 0.895631067961165, 'number': 817} | {'precision': 0.6086956521739131, 'recall': 0.5882352941176471, 'f1': 0.5982905982905983, 'number': 119} | {'precision': 0.8776785714285714, 'recall': 0.9127205199628597, 'f1': 0.8948566226672735, 'number': 1077} | 0.8669 | 0.8897 | 0.8782 | 0.8059 |
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| 0.0004 | 115.79 | 2200 | 1.6698 | {'precision': 0.8993865030674847, 'recall': 0.8971848225214198, 'f1': 0.8982843137254903, 'number': 817} | {'precision': 0.631578947368421, 'recall': 0.6050420168067226, 'f1': 0.6180257510729613, 'number': 119} | {'precision': 0.8808243727598566, 'recall': 0.9127205199628597, 'f1': 0.8964888280893752, 'number': 1077} | 0.8743 | 0.8882 | 0.8812 | 0.8096 |
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| 0.0002 | 126.32 | 2400 | 1.7190 | {'precision': 0.8888888888888888, 'recall': 0.9008567931456548, 'f1': 0.8948328267477204, 'number': 817} | {'precision': 0.6542056074766355, 'recall': 0.5882352941176471, 'f1': 0.6194690265486726, 'number': 119} | {'precision': 0.8815672306322351, 'recall': 0.9192200557103064, 'f1': 0.9, 'number': 1077} | 0.8727 | 0.8922 | 0.8823 | 0.8045 |
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### Framework versions
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- Transformers 4.27.3
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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preprocessor_config.json
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tokenizer.json
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tokenizer_config.json
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"single_word": false
|
51 |
+
},
|
52 |
+
"pad_token_box": [
|
53 |
+
0,
|
54 |
+
0,
|
55 |
+
0,
|
56 |
+
0
|
57 |
+
],
|
58 |
+
"pad_token_label": -100,
|
59 |
+
"processor_class": "LayoutLMv3Processor",
|
60 |
+
"sep_token": {
|
61 |
+
"__type": "AddedToken",
|
62 |
+
"content": "</s>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": true,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false
|
67 |
+
},
|
68 |
+
"sep_token_box": [
|
69 |
+
0,
|
70 |
+
0,
|
71 |
+
0,
|
72 |
+
0
|
73 |
+
],
|
74 |
+
"special_tokens_map_file": null,
|
75 |
+
"tokenizer_class": "LayoutLMv3Tokenizer",
|
76 |
+
"trim_offsets": true,
|
77 |
+
"unk_token": {
|
78 |
+
"__type": "AddedToken",
|
79 |
+
"content": "<unk>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": true,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false
|
84 |
+
}
|
85 |
+
}
|
vocab.json
ADDED
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|
|