davelotito
commited on
Commit
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Parent(s):
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End of training
Browse files- README.md +75 -0
- added_tokens.json +0 -8
- generation_config.json +7 -0
- special_tokens_map.json +0 -56
- tokenizer.json +6 -92
- tokenizer_config.json +0 -72
README.md
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---
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license: mit
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base_model: naver-clova-ix/donut-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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- wer
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model-index:
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- name: donut-base-sroie-bayesian-optimization
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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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# donut-base-sroie-bayesian-optimization
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This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1396
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- Bleu: 0.0196
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- Precisions: [0.9883177570093458, 0.9724655819774718, 0.954177897574124, 0.9328467153284672]
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- Brevity Penalty: 0.0203
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- Length Ratio: 0.2043
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- Translation Length: 856
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- Reference Length: 4190
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- Cer: 0.8584
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- Wer: 1.0
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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: 1.2010406976282324e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2
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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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- num_epochs: 5
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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 | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Cer | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|:------:|:---:|
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| 0.021 | 1.0 | 253 | 0.1656 | 0.0194 | [0.9848130841121495, 0.9649561952440551, 0.9420485175202157, 0.9153284671532846] | 0.0203 | 0.2043 | 856 | 4190 | 0.8596 | 1.0 |
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| 0.0353 | 2.0 | 506 | 0.1501 | 0.0195 | [0.9813736903376019, 0.9588528678304239, 0.9328859060402684, 0.9026162790697675] | 0.0207 | 0.2050 | 859 | 4190 | 0.8595 | 1.0 |
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| 0.0417 | 3.0 | 759 | 0.1423 | 0.0195 | [0.9871495327102804, 0.9699624530663329, 0.9501347708894878, 0.927007299270073] | 0.0203 | 0.2043 | 856 | 4190 | 0.8586 | 1.0 |
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| 0.0308 | 4.0 | 1012 | 0.1403 | 0.0193 | [0.9859649122807017, 0.9674185463659147, 0.9460188933873145, 0.9210526315789473] | 0.0202 | 0.2041 | 855 | 4190 | 0.8593 | 1.0 |
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| 0.0464 | 5.0 | 1265 | 0.1396 | 0.0196 | [0.9883177570093458, 0.9724655819774718, 0.954177897574124, 0.9328467153284672] | 0.0203 | 0.2043 | 856 | 4190 | 0.8584 | 1.0 |
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.1.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"</s_address>": 57532,
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"</s_company>": 57530,
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"</s_date>": 57528,
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"</s_total>": 57526,
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"<s_address>": 57531,
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"<s_company>": 57529,
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"<s_date>": 57527,
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"<s_iitcdip>": 57523,
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"<s_synthdog>": 57524,
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"<s_total>": 57525,
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"<sep/>": 57522
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}
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{
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"<s_iitcdip>": 57523,
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"<s_synthdog>": 57524,
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"<sep/>": 57522
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}
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generation_config.json
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{
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"bos_token_id": 0,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.41.0.dev0"
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<s_total>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "</s_total>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "<s_date>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "</s_date>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "<s_company>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "</s_company>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "<s_address>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "</s_address>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"content": "<s>",
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"lstrip": false,
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{
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"additional_special_tokens": [
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{
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"content": "<s>",
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"lstrip": false,
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": {
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"Fixed": 512
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},
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 1,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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"id": 0,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57525,
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"content": "<s_total>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57526,
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"content": "</s_total>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57527,
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"content": "<s_date>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57528,
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"content": "</s_date>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57529,
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"content": "<s_company>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57530,
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"content": "</s_company>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57531,
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"content": "<s_address>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 57532,
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"content": "</s_address>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"pre_tokenizer": {
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"type": "Metaspace",
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"replacement": "▁",
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"
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"
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"post_processor": {
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"type": "TemplateProcessing",
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"decoder": {
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"type": "Metaspace",
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"replacement": "▁",
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"
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"
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},
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"model": {
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"type": "Unigram",
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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{
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"id": 0,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"pre_tokenizer": {
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"type": "Metaspace",
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"replacement": "▁",
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"prepend_scheme": "always",
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"split": true
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},
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"post_processor": {
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"type": "TemplateProcessing",
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"decoder": {
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"type": "Metaspace",
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"replacement": "▁",
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"prepend_scheme": "always",
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"split": true
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},
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"model": {
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"type": "Unigram",
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tokenizer_config.json
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"57525": {
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"content": "<s_total>",
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"lstrip": false,
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"normalized": false,
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"57526": {
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"lstrip": false,
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"special": true
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},
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"57527": {
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"content": "<s_date>",
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"lstrip": false,
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"57529": {
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"normalized": false,
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103 |
-
"rstrip": false,
|
104 |
-
"single_word": false,
|
105 |
-
"special": true
|
106 |
-
},
|
107 |
-
"57530": {
|
108 |
-
"content": "</s_company>",
|
109 |
-
"lstrip": false,
|
110 |
-
"normalized": false,
|
111 |
-
"rstrip": false,
|
112 |
-
"single_word": false,
|
113 |
-
"special": true
|
114 |
-
},
|
115 |
-
"57531": {
|
116 |
-
"content": "<s_address>",
|
117 |
-
"lstrip": false,
|
118 |
-
"normalized": false,
|
119 |
-
"rstrip": false,
|
120 |
-
"single_word": false,
|
121 |
-
"special": true
|
122 |
-
},
|
123 |
-
"57532": {
|
124 |
-
"content": "</s_address>",
|
125 |
-
"lstrip": false,
|
126 |
-
"normalized": false,
|
127 |
-
"rstrip": false,
|
128 |
-
"single_word": false,
|
129 |
-
"special": true
|
130 |
}
|
131 |
},
|
132 |
"additional_special_tokens": [
|
133 |
-
"<s_total>",
|
134 |
-
"</s_total>",
|
135 |
-
"<s_date>",
|
136 |
-
"</s_date>",
|
137 |
-
"<s_company>",
|
138 |
-
"</s_company>",
|
139 |
-
"<s_address>",
|
140 |
-
"</s_address>",
|
141 |
"<s>",
|
142 |
"</s>"
|
143 |
],
|
|
|
63 |
"rstrip": false,
|
64 |
"single_word": false,
|
65 |
"special": true
|
|
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|
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|
66 |
}
|
67 |
},
|
68 |
"additional_special_tokens": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
69 |
"<s>",
|
70 |
"</s>"
|
71 |
],
|