Commit
•
45a3aca
1
Parent(s):
12e14b1
End of training
Browse files- README.md +289 -0
- config.json +58 -0
- merges.txt +0 -0
- preprocessor_config.json +27 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +79 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: cc-by-nc-sa-4.0
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+
base_model: microsoft/layoutlmv3-base
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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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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: layoutlmv3-fintuned-funsd
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results:
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+
- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: funsd-layoutlmv3
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type: funsd-layoutlmv3
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config: funsd
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split: test
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args: funsd
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metrics:
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- name: Precision
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type: precision
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value: 0.9130434782608695
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- name: Recall
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type: recall
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value: 0.9180327868852459
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- name: F1
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type: f1
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value: 0.9155313351498637
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- name: Accuracy
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type: accuracy
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value: 0.8387020087959111
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| 38 |
+
---
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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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+
# layoutlmv3-fintuned-funsd
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| 44 |
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the funsd-layoutlmv3 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7000
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- Precision: 0.9130
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- Recall: 0.9180
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- F1: 0.9155
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- Accuracy: 0.8387
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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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 20000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:------:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.33 | 100 | 0.6462 | 0.7683 | 0.8137 | 0.7903 | 0.7808 |
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| 83 |
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| No log | 2.67 | 200 | 0.4416 | 0.8248 | 0.8887 | 0.8556 | 0.8444 |
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| No log | 4.0 | 300 | 0.5276 | 0.8563 | 0.9061 | 0.8805 | 0.8351 |
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| No log | 5.33 | 400 | 0.5038 | 0.8319 | 0.8922 | 0.8610 | 0.8317 |
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| 0.5539 | 6.67 | 500 | 0.5489 | 0.8864 | 0.9151 | 0.9005 | 0.8583 |
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| 0.5539 | 8.0 | 600 | 0.5947 | 0.8646 | 0.9165 | 0.8898 | 0.8383 |
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| 0.5539 | 9.33 | 700 | 0.7367 | 0.8796 | 0.8857 | 0.8827 | 0.8362 |
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| 0.5539 | 10.67 | 800 | 0.8299 | 0.8911 | 0.9230 | 0.9068 | 0.8350 |
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| 0.5539 | 12.0 | 900 | 0.6754 | 0.8934 | 0.9116 | 0.9024 | 0.8465 |
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| 0.1203 | 13.33 | 1000 | 0.8242 | 0.8814 | 0.9011 | 0.8912 | 0.8420 |
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| 0.1203 | 14.67 | 1100 | 0.9349 | 0.8835 | 0.8857 | 0.8846 | 0.8208 |
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| 0.1203 | 16.0 | 1200 | 1.0205 | 0.8853 | 0.8783 | 0.8818 | 0.8131 |
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| 0.1203 | 17.33 | 1300 | 0.8790 | 0.8865 | 0.8962 | 0.8913 | 0.8542 |
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| 0.1203 | 18.67 | 1400 | 0.9262 | 0.8870 | 0.8967 | 0.8918 | 0.8482 |
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| 0.0522 | 20.0 | 1500 | 0.9744 | 0.8979 | 0.8952 | 0.8965 | 0.8323 |
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| 0.0522 | 21.33 | 1600 | 1.0198 | 0.8976 | 0.9146 | 0.9060 | 0.8401 |
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| 0.0522 | 22.67 | 1700 | 1.0466 | 0.9114 | 0.9146 | 0.9130 | 0.8368 |
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| 0.0522 | 24.0 | 1800 | 0.9874 | 0.8944 | 0.9086 | 0.9014 | 0.8462 |
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| 0.0522 | 25.33 | 1900 | 1.1240 | 0.9051 | 0.9141 | 0.9095 | 0.8364 |
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| 0.0208 | 26.67 | 2000 | 1.0658 | 0.9021 | 0.9205 | 0.9112 | 0.8399 |
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| 0.0208 | 28.0 | 2100 | 1.2349 | 0.8934 | 0.9116 | 0.9024 | 0.8227 |
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| 0.0208 | 29.33 | 2200 | 1.2906 | 0.8930 | 0.9081 | 0.9005 | 0.8111 |
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| 0.0208 | 30.67 | 2300 | 1.2133 | 0.9020 | 0.9096 | 0.9058 | 0.8398 |
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| 0.0208 | 32.0 | 2400 | 1.2202 | 0.9055 | 0.9096 | 0.9076 | 0.8375 |
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| 0.0154 | 33.33 | 2500 | 1.2454 | 0.8909 | 0.9131 | 0.9019 | 0.8393 |
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| 0.0154 | 34.67 | 2600 | 1.2065 | 0.9058 | 0.9126 | 0.9092 | 0.8364 |
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| 108 |
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| 0.0154 | 36.0 | 2700 | 1.2165 | 0.8998 | 0.9096 | 0.9046 | 0.8284 |
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| 109 |
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| 0.0154 | 37.33 | 2800 | 1.3195 | 0.8913 | 0.9160 | 0.9035 | 0.8272 |
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| 0.0154 | 38.67 | 2900 | 1.3834 | 0.8957 | 0.9086 | 0.9021 | 0.8240 |
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| 0.007 | 40.0 | 3000 | 1.3035 | 0.9001 | 0.9086 | 0.9043 | 0.8306 |
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| 0.007 | 41.33 | 3100 | 1.3553 | 0.8991 | 0.9121 | 0.9055 | 0.8241 |
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| 0.007 | 42.67 | 3200 | 1.3227 | 0.9054 | 0.9036 | 0.9045 | 0.8343 |
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| 0.007 | 44.0 | 3300 | 1.2750 | 0.9262 | 0.9170 | 0.9216 | 0.8460 |
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| 0.007 | 45.33 | 3400 | 1.2563 | 0.8980 | 0.9101 | 0.9040 | 0.8408 |
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| 0.0035 | 46.67 | 3500 | 1.2013 | 0.9015 | 0.9136 | 0.9075 | 0.8383 |
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| 0.0035 | 48.0 | 3600 | 1.2035 | 0.8997 | 0.9180 | 0.9088 | 0.8487 |
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| 0.0035 | 49.33 | 3700 | 1.3997 | 0.9206 | 0.9041 | 0.9123 | 0.8312 |
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| 0.0035 | 50.67 | 3800 | 1.3818 | 0.9117 | 0.9180 | 0.9149 | 0.8337 |
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| 0.0035 | 52.0 | 3900 | 1.3568 | 0.9045 | 0.9086 | 0.9066 | 0.8410 |
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| 0.0057 | 53.33 | 4000 | 1.3255 | 0.8935 | 0.9170 | 0.9051 | 0.8313 |
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| 0.0057 | 54.67 | 4100 | 1.2954 | 0.8950 | 0.9151 | 0.9049 | 0.8343 |
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| 0.0057 | 56.0 | 4200 | 1.4201 | 0.9028 | 0.9141 | 0.9084 | 0.8234 |
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| 0.0057 | 57.33 | 4300 | 1.3858 | 0.9016 | 0.9061 | 0.9039 | 0.8238 |
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| 0.0057 | 58.67 | 4400 | 1.3748 | 0.8976 | 0.9056 | 0.9016 | 0.8286 |
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| 0.0155 | 60.0 | 4500 | 1.4346 | 0.9024 | 0.9051 | 0.9038 | 0.8274 |
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| 0.0155 | 61.33 | 4600 | 1.4059 | 0.9073 | 0.9136 | 0.9104 | 0.8324 |
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| 0.0155 | 62.67 | 4700 | 1.3779 | 0.9076 | 0.9121 | 0.9098 | 0.8358 |
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| 0.0155 | 64.0 | 4800 | 1.3785 | 0.9064 | 0.9235 | 0.9149 | 0.8389 |
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| 0.0155 | 65.33 | 4900 | 1.3995 | 0.9014 | 0.9220 | 0.9116 | 0.8190 |
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| 0.0043 | 66.67 | 5000 | 1.2618 | 0.9087 | 0.9101 | 0.9094 | 0.8329 |
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| 0.0043 | 68.0 | 5100 | 1.2878 | 0.9093 | 0.9165 | 0.9129 | 0.8526 |
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| 0.0043 | 69.33 | 5200 | 1.4384 | 0.9063 | 0.9126 | 0.9094 | 0.8372 |
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| 0.0043 | 70.67 | 5300 | 1.5029 | 0.9093 | 0.9165 | 0.9129 | 0.8347 |
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| 0.0043 | 72.0 | 5400 | 1.4592 | 0.9107 | 0.9071 | 0.9089 | 0.8345 |
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| 0.0045 | 73.33 | 5500 | 1.4604 | 0.9099 | 0.9136 | 0.9118 | 0.8263 |
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| 0.0045 | 74.67 | 5600 | 1.5632 | 0.8933 | 0.9066 | 0.8999 | 0.8162 |
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| 0.0045 | 76.0 | 5700 | 1.5839 | 0.9114 | 0.9096 | 0.9105 | 0.8335 |
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| 0.0045 | 77.33 | 5800 | 1.5557 | 0.9099 | 0.9081 | 0.9090 | 0.8392 |
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| 0.0045 | 78.67 | 5900 | 1.4348 | 0.9024 | 0.9051 | 0.9038 | 0.8266 |
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| 0.0089 | 80.0 | 6000 | 1.2747 | 0.9026 | 0.9160 | 0.9093 | 0.8429 |
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| 0.0089 | 81.33 | 6100 | 1.3560 | 0.8963 | 0.9230 | 0.9094 | 0.8376 |
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| 0.0089 | 82.67 | 6200 | 1.2859 | 0.8987 | 0.9165 | 0.9075 | 0.8480 |
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| 0.0089 | 84.0 | 6300 | 1.3389 | 0.9032 | 0.9220 | 0.9125 | 0.8315 |
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| 0.0089 | 85.33 | 6400 | 1.3922 | 0.8922 | 0.9126 | 0.9023 | 0.8413 |
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| 0.0045 | 86.67 | 6500 | 1.3723 | 0.9003 | 0.9066 | 0.9035 | 0.8353 |
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| 0.0045 | 88.0 | 6600 | 1.3220 | 0.9011 | 0.9141 | 0.9075 | 0.8441 |
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| 148 |
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| 0.0045 | 89.33 | 6700 | 1.4433 | 0.9063 | 0.9126 | 0.9094 | 0.8213 |
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| 149 |
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| 0.0045 | 90.67 | 6800 | 1.5350 | 0.8977 | 0.9195 | 0.9085 | 0.8266 |
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| 0.0045 | 92.0 | 6900 | 1.3681 | 0.9115 | 0.9215 | 0.9165 | 0.8467 |
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| 0.002 | 93.33 | 7000 | 1.3141 | 0.8981 | 0.9240 | 0.9109 | 0.8398 |
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| 152 |
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| 0.002 | 94.67 | 7100 | 1.3836 | 0.9069 | 0.9146 | 0.9107 | 0.8310 |
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| 153 |
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| 0.002 | 96.0 | 7200 | 1.4456 | 0.8995 | 0.9155 | 0.9074 | 0.8310 |
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| 0.002 | 97.33 | 7300 | 1.4218 | 0.9018 | 0.9031 | 0.9025 | 0.8304 |
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| 0.002 | 98.67 | 7400 | 1.5428 | 0.8958 | 0.9225 | 0.9090 | 0.8252 |
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| 156 |
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| 0.0016 | 100.0 | 7500 | 1.4982 | 0.8974 | 0.9215 | 0.9093 | 0.8280 |
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| 157 |
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| 0.0016 | 101.33 | 7600 | 1.4787 | 0.9025 | 0.9240 | 0.9131 | 0.8330 |
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| 158 |
+
| 0.0016 | 102.67 | 7700 | 1.5694 | 0.8982 | 0.9026 | 0.9004 | 0.8148 |
|
| 159 |
+
| 0.0016 | 104.0 | 7800 | 1.4361 | 0.8985 | 0.9146 | 0.9065 | 0.8244 |
|
| 160 |
+
| 0.0016 | 105.33 | 7900 | 1.5643 | 0.8912 | 0.9280 | 0.9092 | 0.8265 |
|
| 161 |
+
| 0.0065 | 106.67 | 8000 | 1.5890 | 0.9017 | 0.9155 | 0.9086 | 0.8269 |
|
| 162 |
+
| 0.0065 | 108.0 | 8100 | 1.5755 | 0.8901 | 0.9170 | 0.9034 | 0.8209 |
|
| 163 |
+
| 0.0065 | 109.33 | 8200 | 1.7716 | 0.9006 | 0.9051 | 0.9029 | 0.8105 |
|
| 164 |
+
| 0.0065 | 110.67 | 8300 | 1.6814 | 0.8973 | 0.9160 | 0.9066 | 0.8168 |
|
| 165 |
+
| 0.0065 | 112.0 | 8400 | 1.5316 | 0.9002 | 0.9230 | 0.9115 | 0.8199 |
|
| 166 |
+
| 0.0012 | 113.33 | 8500 | 1.5376 | 0.9041 | 0.9136 | 0.9088 | 0.8338 |
|
| 167 |
+
| 0.0012 | 114.67 | 8600 | 1.5773 | 0.9085 | 0.9175 | 0.9130 | 0.8334 |
|
| 168 |
+
| 0.0012 | 116.0 | 8700 | 1.5998 | 0.9050 | 0.9086 | 0.9068 | 0.8380 |
|
| 169 |
+
| 0.0012 | 117.33 | 8800 | 1.6401 | 0.8985 | 0.9101 | 0.9042 | 0.8298 |
|
| 170 |
+
| 0.0012 | 118.67 | 8900 | 1.6894 | 0.9055 | 0.8897 | 0.8975 | 0.8248 |
|
| 171 |
+
| 0.0011 | 120.0 | 9000 | 1.6945 | 0.9004 | 0.9031 | 0.9018 | 0.8275 |
|
| 172 |
+
| 0.0011 | 121.33 | 9100 | 1.5659 | 0.9038 | 0.9240 | 0.9138 | 0.8332 |
|
| 173 |
+
| 0.0011 | 122.67 | 9200 | 1.5270 | 0.8947 | 0.9240 | 0.9091 | 0.8358 |
|
| 174 |
+
| 0.0011 | 124.0 | 9300 | 1.5225 | 0.9081 | 0.9230 | 0.9155 | 0.8304 |
|
| 175 |
+
| 0.0011 | 125.33 | 9400 | 1.6064 | 0.8906 | 0.9141 | 0.9022 | 0.8232 |
|
| 176 |
+
| 0.0035 | 126.67 | 9500 | 1.5898 | 0.9034 | 0.9240 | 0.9136 | 0.8294 |
|
| 177 |
+
| 0.0035 | 128.0 | 9600 | 1.5404 | 0.8949 | 0.9225 | 0.9085 | 0.8336 |
|
| 178 |
+
| 0.0035 | 129.33 | 9700 | 1.4890 | 0.9074 | 0.9250 | 0.9161 | 0.8460 |
|
| 179 |
+
| 0.0035 | 130.67 | 9800 | 1.5620 | 0.9049 | 0.9175 | 0.9112 | 0.8315 |
|
| 180 |
+
| 0.0035 | 132.0 | 9900 | 1.5565 | 0.9050 | 0.9180 | 0.9115 | 0.8279 |
|
| 181 |
+
| 0.0014 | 133.33 | 10000 | 1.5553 | 0.8989 | 0.9230 | 0.9108 | 0.8424 |
|
| 182 |
+
| 0.0014 | 134.67 | 10100 | 1.5287 | 0.9060 | 0.9195 | 0.9127 | 0.8356 |
|
| 183 |
+
| 0.0014 | 136.0 | 10200 | 1.5282 | 0.9109 | 0.9146 | 0.9127 | 0.8398 |
|
| 184 |
+
| 0.0014 | 137.33 | 10300 | 1.5280 | 0.9073 | 0.9141 | 0.9107 | 0.8437 |
|
| 185 |
+
| 0.0014 | 138.67 | 10400 | 1.5719 | 0.9092 | 0.9151 | 0.9121 | 0.8387 |
|
| 186 |
+
| 0.0035 | 140.0 | 10500 | 1.5059 | 0.9074 | 0.9155 | 0.9115 | 0.8426 |
|
| 187 |
+
| 0.0035 | 141.33 | 10600 | 1.5702 | 0.9013 | 0.9250 | 0.9130 | 0.8355 |
|
| 188 |
+
| 0.0035 | 142.67 | 10700 | 1.5080 | 0.9035 | 0.9260 | 0.9146 | 0.8455 |
|
| 189 |
+
| 0.0035 | 144.0 | 10800 | 1.4643 | 0.9097 | 0.9255 | 0.9175 | 0.8467 |
|
| 190 |
+
| 0.0035 | 145.33 | 10900 | 1.5316 | 0.9037 | 0.9230 | 0.9132 | 0.8387 |
|
| 191 |
+
| 0.0011 | 146.67 | 11000 | 1.5314 | 0.9114 | 0.9195 | 0.9154 | 0.8392 |
|
| 192 |
+
| 0.0011 | 148.0 | 11100 | 1.4988 | 0.9114 | 0.9200 | 0.9157 | 0.8493 |
|
| 193 |
+
| 0.0011 | 149.33 | 11200 | 1.4546 | 0.9121 | 0.9275 | 0.9197 | 0.8538 |
|
| 194 |
+
| 0.0011 | 150.67 | 11300 | 1.5075 | 0.9062 | 0.9170 | 0.9116 | 0.8456 |
|
| 195 |
+
| 0.0011 | 152.0 | 11400 | 1.4556 | 0.8973 | 0.9076 | 0.9024 | 0.8393 |
|
| 196 |
+
| 0.0009 | 153.33 | 11500 | 1.5058 | 0.8911 | 0.9185 | 0.9046 | 0.8272 |
|
| 197 |
+
| 0.0009 | 154.67 | 11600 | 1.5903 | 0.9197 | 0.9101 | 0.9149 | 0.8318 |
|
| 198 |
+
| 0.0009 | 156.0 | 11700 | 1.5263 | 0.9164 | 0.9146 | 0.9155 | 0.8413 |
|
| 199 |
+
| 0.0009 | 157.33 | 11800 | 1.5729 | 0.9129 | 0.9160 | 0.9145 | 0.8386 |
|
| 200 |
+
| 0.0009 | 158.67 | 11900 | 1.5880 | 0.9086 | 0.9131 | 0.9108 | 0.8398 |
|
| 201 |
+
| 0.0009 | 160.0 | 12000 | 1.5907 | 0.9090 | 0.9126 | 0.9108 | 0.8399 |
|
| 202 |
+
| 0.0009 | 161.33 | 12100 | 1.5714 | 0.9111 | 0.9111 | 0.9111 | 0.8373 |
|
| 203 |
+
| 0.0009 | 162.67 | 12200 | 1.5848 | 0.9135 | 0.9126 | 0.9130 | 0.8378 |
|
| 204 |
+
| 0.0009 | 164.0 | 12300 | 1.5816 | 0.9112 | 0.9175 | 0.9144 | 0.8405 |
|
| 205 |
+
| 0.0009 | 165.33 | 12400 | 1.5425 | 0.9080 | 0.9121 | 0.9100 | 0.8386 |
|
| 206 |
+
| 0.0 | 166.67 | 12500 | 1.5837 | 0.9046 | 0.9136 | 0.9090 | 0.8362 |
|
| 207 |
+
| 0.0 | 168.0 | 12600 | 1.6781 | 0.9025 | 0.9195 | 0.9109 | 0.8290 |
|
| 208 |
+
| 0.0 | 169.33 | 12700 | 1.6219 | 0.9028 | 0.9185 | 0.9106 | 0.8326 |
|
| 209 |
+
| 0.0 | 170.67 | 12800 | 1.5786 | 0.9076 | 0.9126 | 0.9101 | 0.8380 |
|
| 210 |
+
| 0.0 | 172.0 | 12900 | 1.6212 | 0.9020 | 0.9146 | 0.9082 | 0.8322 |
|
| 211 |
+
| 0.0018 | 173.33 | 13000 | 1.6451 | 0.9086 | 0.9141 | 0.9113 | 0.8315 |
|
| 212 |
+
| 0.0018 | 174.67 | 13100 | 1.6730 | 0.9064 | 0.9185 | 0.9124 | 0.8293 |
|
| 213 |
+
| 0.0018 | 176.0 | 13200 | 1.6106 | 0.9026 | 0.9071 | 0.9049 | 0.8354 |
|
| 214 |
+
| 0.0018 | 177.33 | 13300 | 1.6403 | 0.9081 | 0.9180 | 0.9130 | 0.8402 |
|
| 215 |
+
| 0.0018 | 178.67 | 13400 | 1.6343 | 0.9043 | 0.9200 | 0.9121 | 0.8361 |
|
| 216 |
+
| 0.0012 | 180.0 | 13500 | 1.5853 | 0.9096 | 0.9195 | 0.9145 | 0.8431 |
|
| 217 |
+
| 0.0012 | 181.33 | 13600 | 1.5859 | 0.9101 | 0.9205 | 0.9153 | 0.8432 |
|
| 218 |
+
| 0.0012 | 182.67 | 13700 | 1.6137 | 0.9071 | 0.9215 | 0.9142 | 0.8394 |
|
| 219 |
+
| 0.0012 | 184.0 | 13800 | 1.6416 | 0.9002 | 0.9185 | 0.9093 | 0.8299 |
|
| 220 |
+
| 0.0012 | 185.33 | 13900 | 1.5497 | 0.9085 | 0.9126 | 0.9105 | 0.8457 |
|
| 221 |
+
| 0.0002 | 186.67 | 14000 | 1.6534 | 0.9015 | 0.9141 | 0.9077 | 0.8322 |
|
| 222 |
+
| 0.0002 | 188.0 | 14100 | 1.6003 | 0.9044 | 0.9116 | 0.9080 | 0.8290 |
|
| 223 |
+
| 0.0002 | 189.33 | 14200 | 1.5269 | 0.9046 | 0.9185 | 0.9115 | 0.8443 |
|
| 224 |
+
| 0.0002 | 190.67 | 14300 | 1.5977 | 0.9069 | 0.9141 | 0.9104 | 0.8360 |
|
| 225 |
+
| 0.0002 | 192.0 | 14400 | 1.5968 | 0.9090 | 0.9131 | 0.9110 | 0.8374 |
|
| 226 |
+
| 0.0004 | 193.33 | 14500 | 1.5945 | 0.9090 | 0.9131 | 0.9110 | 0.8376 |
|
| 227 |
+
| 0.0004 | 194.67 | 14600 | 1.6041 | 0.9117 | 0.9126 | 0.9121 | 0.8388 |
|
| 228 |
+
| 0.0004 | 196.0 | 14700 | 1.6038 | 0.9071 | 0.9121 | 0.9096 | 0.8362 |
|
| 229 |
+
| 0.0004 | 197.33 | 14800 | 1.6108 | 0.9059 | 0.9131 | 0.9095 | 0.8347 |
|
| 230 |
+
| 0.0004 | 198.67 | 14900 | 1.5873 | 0.9087 | 0.9151 | 0.9119 | 0.8393 |
|
| 231 |
+
| 0.0 | 200.0 | 15000 | 1.6047 | 0.9042 | 0.9146 | 0.9094 | 0.8417 |
|
| 232 |
+
| 0.0 | 201.33 | 15100 | 1.6125 | 0.9017 | 0.9155 | 0.9086 | 0.8348 |
|
| 233 |
+
| 0.0 | 202.67 | 15200 | 1.6191 | 0.9039 | 0.9155 | 0.9097 | 0.8360 |
|
| 234 |
+
| 0.0 | 204.0 | 15300 | 1.6626 | 0.9095 | 0.9131 | 0.9113 | 0.8320 |
|
| 235 |
+
| 0.0 | 205.33 | 15400 | 1.5967 | 0.9051 | 0.9190 | 0.9120 | 0.8427 |
|
| 236 |
+
| 0.0003 | 206.67 | 15500 | 1.5989 | 0.8982 | 0.9116 | 0.9048 | 0.8318 |
|
| 237 |
+
| 0.0003 | 208.0 | 15600 | 1.5990 | 0.8995 | 0.9116 | 0.9055 | 0.8307 |
|
| 238 |
+
| 0.0003 | 209.33 | 15700 | 1.6338 | 0.9043 | 0.9111 | 0.9077 | 0.8325 |
|
| 239 |
+
| 0.0003 | 210.67 | 15800 | 1.6390 | 0.9034 | 0.9101 | 0.9067 | 0.8329 |
|
| 240 |
+
| 0.0003 | 212.0 | 15900 | 1.6372 | 0.9015 | 0.9096 | 0.9055 | 0.8368 |
|
| 241 |
+
| 0.0001 | 213.33 | 16000 | 1.6020 | 0.9045 | 0.9131 | 0.9088 | 0.8378 |
|
| 242 |
+
| 0.0001 | 214.67 | 16100 | 1.5761 | 0.9071 | 0.9170 | 0.9121 | 0.8397 |
|
| 243 |
+
| 0.0001 | 216.0 | 16200 | 1.6536 | 0.9010 | 0.9131 | 0.9070 | 0.8293 |
|
| 244 |
+
| 0.0001 | 217.33 | 16300 | 1.6549 | 0.9023 | 0.9131 | 0.9077 | 0.8290 |
|
| 245 |
+
| 0.0001 | 218.67 | 16400 | 1.6737 | 0.8948 | 0.9081 | 0.9014 | 0.8292 |
|
| 246 |
+
| 0.0002 | 220.0 | 16500 | 1.6918 | 0.9106 | 0.9155 | 0.9131 | 0.8402 |
|
| 247 |
+
| 0.0002 | 221.33 | 16600 | 1.6726 | 0.9102 | 0.9165 | 0.9134 | 0.8379 |
|
| 248 |
+
| 0.0002 | 222.67 | 16700 | 1.6962 | 0.9121 | 0.9175 | 0.9148 | 0.8369 |
|
| 249 |
+
| 0.0002 | 224.0 | 16800 | 1.6974 | 0.9038 | 0.9146 | 0.9091 | 0.8367 |
|
| 250 |
+
| 0.0002 | 225.33 | 16900 | 1.7147 | 0.9126 | 0.9185 | 0.9156 | 0.8376 |
|
| 251 |
+
| 0.0006 | 226.67 | 17000 | 1.7000 | 0.9130 | 0.9180 | 0.9155 | 0.8387 |
|
| 252 |
+
| 0.0006 | 228.0 | 17100 | 1.6951 | 0.9083 | 0.9155 | 0.9119 | 0.8374 |
|
| 253 |
+
| 0.0006 | 229.33 | 17200 | 1.7014 | 0.9097 | 0.9160 | 0.9129 | 0.8369 |
|
| 254 |
+
| 0.0006 | 230.67 | 17300 | 1.7029 | 0.9102 | 0.9165 | 0.9134 | 0.8369 |
|
| 255 |
+
| 0.0006 | 232.0 | 17400 | 1.7039 | 0.9112 | 0.9170 | 0.9141 | 0.8374 |
|
| 256 |
+
| 0.0 | 233.33 | 17500 | 1.6516 | 0.9157 | 0.9116 | 0.9136 | 0.8355 |
|
| 257 |
+
| 0.0 | 234.67 | 17600 | 1.6536 | 0.9148 | 0.9126 | 0.9137 | 0.8348 |
|
| 258 |
+
| 0.0 | 236.0 | 17700 | 1.6548 | 0.9144 | 0.9131 | 0.9137 | 0.8348 |
|
| 259 |
+
| 0.0 | 237.33 | 17800 | 1.7110 | 0.9068 | 0.9185 | 0.9126 | 0.8360 |
|
| 260 |
+
| 0.0 | 238.67 | 17900 | 1.7115 | 0.9073 | 0.9185 | 0.9129 | 0.8362 |
|
| 261 |
+
| 0.0 | 240.0 | 18000 | 1.7124 | 0.9054 | 0.9180 | 0.9117 | 0.8362 |
|
| 262 |
+
| 0.0 | 241.33 | 18100 | 1.7146 | 0.9072 | 0.9175 | 0.9123 | 0.8376 |
|
| 263 |
+
| 0.0 | 242.67 | 18200 | 1.7217 | 0.9100 | 0.9141 | 0.9120 | 0.8317 |
|
| 264 |
+
| 0.0 | 244.0 | 18300 | 1.7225 | 0.9096 | 0.9146 | 0.9121 | 0.8315 |
|
| 265 |
+
| 0.0 | 245.33 | 18400 | 1.7159 | 0.9070 | 0.9155 | 0.9112 | 0.8323 |
|
| 266 |
+
| 0.0001 | 246.67 | 18500 | 1.7164 | 0.9074 | 0.9155 | 0.9115 | 0.8322 |
|
| 267 |
+
| 0.0001 | 248.0 | 18600 | 1.6927 | 0.9009 | 0.9165 | 0.9086 | 0.8326 |
|
| 268 |
+
| 0.0001 | 249.33 | 18700 | 1.6767 | 0.9034 | 0.9155 | 0.9094 | 0.8335 |
|
| 269 |
+
| 0.0001 | 250.67 | 18800 | 1.6773 | 0.9034 | 0.9155 | 0.9094 | 0.8335 |
|
| 270 |
+
| 0.0001 | 252.0 | 18900 | 1.6885 | 0.9029 | 0.9151 | 0.9090 | 0.8334 |
|
| 271 |
+
| 0.0002 | 253.33 | 19000 | 1.7032 | 0.9053 | 0.9165 | 0.9109 | 0.8312 |
|
| 272 |
+
| 0.0002 | 254.67 | 19100 | 1.7036 | 0.9057 | 0.9160 | 0.9108 | 0.8307 |
|
| 273 |
+
| 0.0002 | 256.0 | 19200 | 1.7041 | 0.9053 | 0.9160 | 0.9106 | 0.8310 |
|
| 274 |
+
| 0.0002 | 257.33 | 19300 | 1.7045 | 0.9053 | 0.9160 | 0.9106 | 0.8310 |
|
| 275 |
+
| 0.0002 | 258.67 | 19400 | 1.7049 | 0.9053 | 0.9160 | 0.9106 | 0.8310 |
|
| 276 |
+
| 0.0 | 260.0 | 19500 | 1.7069 | 0.9057 | 0.9165 | 0.9111 | 0.8310 |
|
| 277 |
+
| 0.0 | 261.33 | 19600 | 1.7062 | 0.9076 | 0.9170 | 0.9123 | 0.8312 |
|
| 278 |
+
| 0.0 | 262.67 | 19700 | 1.7071 | 0.9071 | 0.9170 | 0.9121 | 0.8312 |
|
| 279 |
+
| 0.0 | 264.0 | 19800 | 1.7083 | 0.9067 | 0.9170 | 0.9118 | 0.8313 |
|
| 280 |
+
| 0.0 | 265.33 | 19900 | 1.7084 | 0.9058 | 0.9170 | 0.9114 | 0.8316 |
|
| 281 |
+
| 0.0 | 266.67 | 20000 | 1.7086 | 0.9058 | 0.9170 | 0.9114 | 0.8316 |
|
| 282 |
+
|
| 283 |
+
|
| 284 |
+
### Framework versions
|
| 285 |
+
|
| 286 |
+
- Transformers 4.34.1
|
| 287 |
+
- Pytorch 2.1.0+cu121
|
| 288 |
+
- Datasets 2.14.5
|
| 289 |
+
- Tokenizers 0.14.1
|
config.json
ADDED
|
@@ -0,0 +1,58 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/layoutlmv3-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LayoutLMv3ForTokenClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"coordinate_size": 128,
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"has_relative_attention_bias": true,
|
| 12 |
+
"has_spatial_attention_bias": true,
|
| 13 |
+
"hidden_act": "gelu",
|
| 14 |
+
"hidden_dropout_prob": 0.1,
|
| 15 |
+
"hidden_size": 768,
|
| 16 |
+
"id2label": {
|
| 17 |
+
"0": "O",
|
| 18 |
+
"1": "B-HEADER",
|
| 19 |
+
"2": "I-HEADER",
|
| 20 |
+
"3": "B-QUESTION",
|
| 21 |
+
"4": "I-QUESTION",
|
| 22 |
+
"5": "B-ANSWER",
|
| 23 |
+
"6": "I-ANSWER"
|
| 24 |
+
},
|
| 25 |
+
"initializer_range": 0.02,
|
| 26 |
+
"input_size": 224,
|
| 27 |
+
"intermediate_size": 3072,
|
| 28 |
+
"label2id": {
|
| 29 |
+
"B-ANSWER": 5,
|
| 30 |
+
"B-HEADER": 1,
|
| 31 |
+
"B-QUESTION": 3,
|
| 32 |
+
"I-ANSWER": 6,
|
| 33 |
+
"I-HEADER": 2,
|
| 34 |
+
"I-QUESTION": 4,
|
| 35 |
+
"O": 0
|
| 36 |
+
},
|
| 37 |
+
"layer_norm_eps": 1e-05,
|
| 38 |
+
"max_2d_position_embeddings": 1024,
|
| 39 |
+
"max_position_embeddings": 514,
|
| 40 |
+
"max_rel_2d_pos": 256,
|
| 41 |
+
"max_rel_pos": 128,
|
| 42 |
+
"model_type": "layoutlmv3",
|
| 43 |
+
"num_attention_heads": 12,
|
| 44 |
+
"num_channels": 3,
|
| 45 |
+
"num_hidden_layers": 12,
|
| 46 |
+
"pad_token_id": 1,
|
| 47 |
+
"patch_size": 16,
|
| 48 |
+
"rel_2d_pos_bins": 64,
|
| 49 |
+
"rel_pos_bins": 32,
|
| 50 |
+
"second_input_size": 112,
|
| 51 |
+
"shape_size": 128,
|
| 52 |
+
"text_embed": true,
|
| 53 |
+
"torch_dtype": "float32",
|
| 54 |
+
"transformers_version": "4.34.1",
|
| 55 |
+
"type_vocab_size": 1,
|
| 56 |
+
"visual_embed": true,
|
| 57 |
+
"vocab_size": 50265
|
| 58 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
preprocessor_config.json
ADDED
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@@ -0,0 +1,27 @@
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| 1 |
+
{
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| 2 |
+
"apply_ocr": false,
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| 3 |
+
"do_normalize": true,
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| 4 |
+
"do_rescale": true,
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| 5 |
+
"do_resize": true,
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| 6 |
+
"feature_extractor_type": "LayoutLMv3FeatureExtractor",
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| 7 |
+
"image_mean": [
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| 8 |
+
0.5,
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| 9 |
+
0.5,
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| 10 |
+
0.5
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| 11 |
+
],
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| 12 |
+
"image_processor_type": "LayoutLMv3ImageProcessor",
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| 13 |
+
"image_std": [
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| 14 |
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0.5,
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| 15 |
+
0.5,
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| 16 |
+
0.5
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| 17 |
+
],
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| 18 |
+
"ocr_lang": null,
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| 19 |
+
"processor_class": "LayoutLMv3Processor",
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| 20 |
+
"resample": 2,
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| 21 |
+
"rescale_factor": 0.00392156862745098,
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| 22 |
+
"size": {
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| 23 |
+
"height": 224,
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| 24 |
+
"width": 224
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| 25 |
+
},
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| 26 |
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"tesseract_config": ""
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| 27 |
+
}
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pytorch_model.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:ac3d27cc23880b14bcf7e1e218c00041cc27c3e99179fcce994a2c1e5a02487a
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| 3 |
+
size 501403746
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special_tokens_map.json
ADDED
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@@ -0,0 +1,51 @@
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| 1 |
+
{
|
| 2 |
+
"bos_token": {
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| 3 |
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"content": "<s>",
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| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,79 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": true,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"apply_ocr": false,
|
| 46 |
+
"bos_token": "<s>",
|
| 47 |
+
"clean_up_tokenization_spaces": true,
|
| 48 |
+
"cls_token": "<s>",
|
| 49 |
+
"cls_token_box": [
|
| 50 |
+
0,
|
| 51 |
+
0,
|
| 52 |
+
0,
|
| 53 |
+
0
|
| 54 |
+
],
|
| 55 |
+
"eos_token": "</s>",
|
| 56 |
+
"errors": "replace",
|
| 57 |
+
"mask_token": "<mask>",
|
| 58 |
+
"model_max_length": 512,
|
| 59 |
+
"only_label_first_subword": true,
|
| 60 |
+
"pad_token": "<pad>",
|
| 61 |
+
"pad_token_box": [
|
| 62 |
+
0,
|
| 63 |
+
0,
|
| 64 |
+
0,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"pad_token_label": -100,
|
| 68 |
+
"processor_class": "LayoutLMv3Processor",
|
| 69 |
+
"sep_token": "</s>",
|
| 70 |
+
"sep_token_box": [
|
| 71 |
+
0,
|
| 72 |
+
0,
|
| 73 |
+
0,
|
| 74 |
+
0
|
| 75 |
+
],
|
| 76 |
+
"tokenizer_class": "LayoutLMv3Tokenizer",
|
| 77 |
+
"trim_offsets": true,
|
| 78 |
+
"unk_token": "<unk>"
|
| 79 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c712b2159d186b838942fb4f76406bc60647ad8bbdea8f85e0eeb87a02aec347
|
| 3 |
+
size 4536
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
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