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aparajitha
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bart-base-sci

Safetensors
bart
Generated from Trainer
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aparajitha/bart-small-ft-sci

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  1. README.md +156 -0
  2. config.json +75 -0
  3. generation_config.json +13 -0
  4. merges.txt +0 -0
  5. model.safetensors +3 -0
  6. special_tokens_map.json +15 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +57 -0
  9. training_args.bin +3 -0
  10. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart-base-sci
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+ results: []
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+ ---
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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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+
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+ # bart-base-sci
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.7325
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:------:|:---------------:|
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+ | 3.5083 | 1.0 | 1452 | 3.0211 |
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+ | 3.1105 | 2.0 | 2904 | 2.8653 |
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+ | 2.9224 | 3.0 | 4356 | 2.7973 |
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+ | 2.7795 | 4.0 | 5808 | 2.7556 |
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+ | 2.7012 | 5.0 | 7260 | 2.7293 |
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+ | 2.603 | 6.0 | 8712 | 2.7064 |
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+ | 2.5325 | 7.0 | 10164 | 2.6993 |
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+ | 2.4599 | 8.0 | 11616 | 2.6817 |
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+ | 2.3871 | 9.0 | 13068 | 2.6872 |
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+ | 2.3239 | 10.0 | 14520 | 2.6818 |
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+ | 2.2717 | 11.0 | 15972 | 2.6759 |
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+ | 2.2161 | 12.0 | 17424 | 2.6810 |
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+ | 2.1472 | 13.0 | 18876 | 2.6958 |
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+ | 2.1074 | 14.0 | 20328 | 2.6932 |
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+ | 2.0596 | 15.0 | 21780 | 2.7109 |
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+ | 2.0151 | 16.0 | 23232 | 2.7186 |
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+ | 1.9662 | 17.0 | 24684 | 2.7245 |
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+ | 1.9305 | 18.0 | 26136 | 2.7425 |
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+ | 1.8754 | 19.0 | 27588 | 2.7616 |
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+ | 1.8375 | 20.0 | 29040 | 2.7709 |
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+ | 1.7806 | 21.0 | 30492 | 2.7838 |
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+ | 1.7572 | 22.0 | 31944 | 2.7989 |
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+ | 1.706 | 23.0 | 33396 | 2.8198 |
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+ | 1.6636 | 24.0 | 34848 | 2.8418 |
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+ | 1.6349 | 25.0 | 36300 | 2.8498 |
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+ | 1.6061 | 26.0 | 37752 | 2.8751 |
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+ | 1.5659 | 27.0 | 39204 | 2.8888 |
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+ | 1.5266 | 28.0 | 40656 | 2.9037 |
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+ | 1.4952 | 29.0 | 42108 | 2.9209 |
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+ | 1.4684 | 30.0 | 43560 | 2.9456 |
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+ | 1.4353 | 31.0 | 45012 | 2.9749 |
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+ | 1.3855 | 32.0 | 46464 | 2.9816 |
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+ | 1.3589 | 33.0 | 47916 | 3.0008 |
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+ | 1.3192 | 34.0 | 49368 | 3.0116 |
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+ | 1.2974 | 35.0 | 50820 | 3.0332 |
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+ | 1.2678 | 36.0 | 52272 | 3.0592 |
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+ | 1.2423 | 37.0 | 53724 | 3.0762 |
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+ | 1.211 | 38.0 | 55176 | 3.0833 |
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+ | 1.1914 | 39.0 | 56628 | 3.1130 |
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+ | 1.1569 | 40.0 | 58080 | 3.1248 |
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+ | 1.1258 | 41.0 | 59532 | 3.1385 |
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+ | 1.0997 | 42.0 | 60984 | 3.1589 |
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+ | 1.0776 | 43.0 | 62436 | 3.1805 |
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+ | 1.0519 | 44.0 | 63888 | 3.1950 |
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+ | 1.0278 | 45.0 | 65340 | 3.2122 |
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+ | 1.0112 | 46.0 | 66792 | 3.2242 |
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+ | 0.9883 | 47.0 | 68244 | 3.2453 |
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+ | 0.9707 | 48.0 | 69696 | 3.2584 |
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+ | 0.9486 | 49.0 | 71148 | 3.2716 |
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+ | 0.9273 | 50.0 | 72600 | 3.2943 |
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+ | 0.9074 | 51.0 | 74052 | 3.3075 |
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+ | 0.8863 | 52.0 | 75504 | 3.3217 |
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+ | 0.8615 | 53.0 | 76956 | 3.3410 |
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+ | 0.8452 | 54.0 | 78408 | 3.3509 |
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+ | 0.8268 | 55.0 | 79860 | 3.3673 |
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+ | 0.8191 | 56.0 | 81312 | 3.3802 |
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+ | 0.7964 | 57.0 | 82764 | 3.3924 |
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+ | 0.7811 | 58.0 | 84216 | 3.4044 |
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+ | 0.7629 | 59.0 | 85668 | 3.4228 |
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+ | 0.7489 | 60.0 | 87120 | 3.4360 |
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+ | 0.7358 | 61.0 | 88572 | 3.4527 |
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+ | 0.7281 | 62.0 | 90024 | 3.4634 |
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+ | 0.7043 | 63.0 | 91476 | 3.4811 |
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+ | 0.6938 | 64.0 | 92928 | 3.4885 |
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+ | 0.6802 | 65.0 | 94380 | 3.5052 |
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+ | 0.6673 | 66.0 | 95832 | 3.5136 |
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+ | 0.6553 | 67.0 | 97284 | 3.5237 |
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+ | 0.6494 | 68.0 | 98736 | 3.5355 |
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+ | 0.6388 | 69.0 | 100188 | 3.5463 |
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+ | 0.629 | 70.0 | 101640 | 3.5605 |
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+ | 0.6132 | 71.0 | 103092 | 3.5717 |
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+ | 0.6018 | 72.0 | 104544 | 3.5811 |
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+ | 0.5942 | 73.0 | 105996 | 3.5909 |
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+ | 0.5834 | 74.0 | 107448 | 3.6005 |
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+ | 0.5785 | 75.0 | 108900 | 3.6125 |
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+ | 0.5669 | 76.0 | 110352 | 3.6177 |
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+ | 0.5611 | 77.0 | 111804 | 3.6319 |
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+ | 0.5532 | 78.0 | 113256 | 3.6357 |
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+ | 0.5467 | 79.0 | 114708 | 3.6449 |
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+ | 0.544 | 80.0 | 116160 | 3.6468 |
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+ | 0.5334 | 81.0 | 117612 | 3.6577 |
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+ | 0.5313 | 82.0 | 119064 | 3.6643 |
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+ | 0.5241 | 83.0 | 120516 | 3.6741 |
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+ | 0.5125 | 84.0 | 121968 | 3.6754 |
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+ | 0.5118 | 85.0 | 123420 | 3.6858 |
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+ | 0.5063 | 86.0 | 124872 | 3.6933 |
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+ | 0.4992 | 87.0 | 126324 | 3.6969 |
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+ | 0.4956 | 88.0 | 127776 | 3.7041 |
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+ | 0.491 | 89.0 | 129228 | 3.7100 |
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+ | 0.4862 | 90.0 | 130680 | 3.7109 |
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+ | 0.4836 | 91.0 | 132132 | 3.7166 |
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+ | 0.4801 | 92.0 | 133584 | 3.7171 |
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+ | 0.4774 | 93.0 | 135036 | 3.7246 |
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+ | 0.4738 | 94.0 | 136488 | 3.7251 |
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+ | 0.4766 | 95.0 | 137940 | 3.7272 |
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+ | 0.4694 | 96.0 | 139392 | 3.7312 |
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+ | 0.4708 | 97.0 | 140844 | 3.7305 |
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+ | 0.4673 | 98.0 | 142296 | 3.7320 |
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+ | 0.4615 | 99.0 | 143748 | 3.7323 |
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+ | 0.4622 | 100.0 | 145200 | 3.7325 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.4
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+ - Pytorch 1.13.1
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+ - Datasets 2.12.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ "BartForConditionalGeneration"
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+ "vocab_size": 50265
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+ }
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