Commit
•
6a3ce32
1
Parent(s):
efcfa40
End of training
Browse files- README.md +160 -0
- model.safetensors +1 -1
- runs/Sep29_07-25-49_iit-p/events.out.tfevents.1727574955.iit-p +2 -2
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +938 -0
README.md
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| 1 |
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/flan-t5-large
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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model-index:
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- name: flanT5_large_Fact_U
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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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# flanT5_large_Fact_U
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0731
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- Accuracy: 0.7788
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- Precision: 0.8159
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- Recall: 0.7421
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- F1 score: 0.7773
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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: 0.0001
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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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- 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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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| 58 |
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| 1.2434 | 0.0314 | 200 | 0.7545 | 0.6059 | 0.5805 | 0.8733 | 0.6974 |
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| 59 |
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| 1.4323 | 0.0628 | 400 | 1.7199 | 0.6 | 0.575 | 0.8846 | 0.6970 |
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| 1.253 | 0.0941 | 600 | 1.3828 | 0.6059 | 0.5812 | 0.8665 | 0.6957 |
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| 1.2986 | 0.1255 | 800 | 2.4072 | 0.48 | 0.0 | 0.0 | 0.0 |
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| 1.2843 | 0.1569 | 1000 | 1.2474 | 0.6553 | 0.7690 | 0.4819 | 0.5925 |
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| 1.2245 | 0.1883 | 1200 | 1.3841 | 0.5435 | 0.95 | 0.1290 | 0.2271 |
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| 1.2389 | 0.2197 | 1400 | 0.8993 | 0.6706 | 0.6731 | 0.7127 | 0.6923 |
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| 1.132 | 0.2511 | 1600 | 0.6845 | 0.6271 | 0.6110 | 0.7783 | 0.6846 |
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| 1.0836 | 0.2824 | 1800 | 1.1694 | 0.6824 | 0.7486 | 0.5860 | 0.6574 |
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| 1.2434 | 0.3138 | 2000 | 1.4787 | 0.6788 | 0.7632 | 0.5543 | 0.6422 |
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| 1.1196 | 0.3452 | 2200 | 1.5004 | 0.6694 | 0.7018 | 0.6335 | 0.6659 |
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| 1.5791 | 0.3766 | 2400 | 1.1289 | 0.6376 | 0.8454 | 0.3710 | 0.5157 |
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| 1.3035 | 0.4080 | 2600 | 1.0136 | 0.6859 | 0.7119 | 0.6652 | 0.6877 |
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| 1.1401 | 0.4394 | 2800 | 1.2340 | 0.6753 | 0.7485 | 0.5656 | 0.6443 |
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| 0.9518 | 0.4707 | 3000 | 1.2197 | 0.7024 | 0.7692 | 0.6109 | 0.6810 |
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| 1.1623 | 0.5021 | 3200 | 1.2827 | 0.6788 | 0.7046 | 0.6584 | 0.6807 |
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| 1.1316 | 0.5335 | 3400 | 1.5077 | 0.6659 | 0.6396 | 0.8190 | 0.7183 |
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| 1.2599 | 0.5649 | 3600 | 0.8272 | 0.6341 | 0.8466 | 0.3620 | 0.5071 |
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| 0.9866 | 0.5963 | 3800 | 1.4574 | 0.6647 | 0.6605 | 0.7308 | 0.6939 |
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| 1.147 | 0.6276 | 4000 | 1.2933 | 0.6824 | 0.7792 | 0.5430 | 0.64 |
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| 1.0307 | 0.6590 | 4200 | 1.1586 | 0.6482 | 0.7658 | 0.4661 | 0.5795 |
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| 1.0616 | 0.6904 | 4400 | 1.2668 | 0.6976 | 0.7428 | 0.6403 | 0.6877 |
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| 1.0724 | 0.7218 | 4600 | 1.1130 | 0.6447 | 0.6955 | 0.5633 | 0.6225 |
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| 0.9499 | 0.7532 | 4800 | 1.1635 | 0.7188 | 0.7766 | 0.6448 | 0.7046 |
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| 1.1302 | 0.7846 | 5000 | 1.2608 | 0.7118 | 0.7031 | 0.7715 | 0.7357 |
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| 1.1921 | 0.8159 | 5200 | 1.1742 | 0.7094 | 0.8056 | 0.5814 | 0.6754 |
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| 0.9532 | 0.8473 | 5400 | 1.1589 | 0.7071 | 0.7749 | 0.6154 | 0.6860 |
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| 0.783 | 0.8787 | 5600 | 1.3256 | 0.7 | 0.8086 | 0.5543 | 0.6577 |
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| 0.9835 | 0.9101 | 5800 | 1.1383 | 0.7282 | 0.7828 | 0.6606 | 0.7166 |
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| 0.9898 | 0.9415 | 6000 | 1.0662 | 0.7141 | 0.7409 | 0.6923 | 0.7158 |
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| 0.9768 | 0.9729 | 6200 | 1.1941 | 0.7059 | 0.8019 | 0.5769 | 0.6711 |
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| 1.043 | 1.0042 | 6400 | 1.2302 | 0.6729 | 0.8628 | 0.4412 | 0.5838 |
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| 0.9531 | 1.0356 | 6600 | 1.1304 | 0.7106 | 0.7593 | 0.6493 | 0.7 |
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| 1.0585 | 1.0670 | 6800 | 1.0234 | 0.7294 | 0.7944 | 0.6471 | 0.7132 |
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| 0.8862 | 1.0984 | 7000 | 1.1941 | 0.6953 | 0.8735 | 0.4842 | 0.6230 |
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| 0.8721 | 1.1298 | 7200 | 0.9352 | 0.7376 | 0.792 | 0.6719 | 0.7271 |
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| 0.8678 | 1.1611 | 7400 | 1.0473 | 0.7388 | 0.7402 | 0.7670 | 0.7533 |
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| 0.7617 | 1.1925 | 7600 | 1.3020 | 0.7294 | 0.7181 | 0.7896 | 0.7522 |
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| 1.0394 | 1.2239 | 7800 | 1.0322 | 0.7212 | 0.7904 | 0.6312 | 0.7019 |
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| 0.822 | 1.2553 | 8000 | 1.0980 | 0.7388 | 0.7973 | 0.6674 | 0.7266 |
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| 0.8406 | 1.2867 | 8200 | 1.4589 | 0.7118 | 0.7031 | 0.7715 | 0.7357 |
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| 0.7059 | 1.3181 | 8400 | 1.0655 | 0.7306 | 0.8318 | 0.6041 | 0.6999 |
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| 0.8649 | 1.3494 | 8600 | 0.9708 | 0.7424 | 0.8106 | 0.6584 | 0.7266 |
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| 0.7142 | 1.3808 | 8800 | 1.1603 | 0.7553 | 0.8214 | 0.6765 | 0.7419 |
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| 0.9057 | 1.4122 | 9000 | 0.9389 | 0.76 | 0.8381 | 0.6674 | 0.7431 |
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| 0.9312 | 1.4436 | 9200 | 1.0568 | 0.7553 | 0.7721 | 0.7511 | 0.7615 |
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| 0.8459 | 1.4750 | 9400 | 1.1646 | 0.7459 | 0.7974 | 0.6855 | 0.7372 |
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| 0.8427 | 1.5064 | 9600 | 1.0133 | 0.7459 | 0.8174 | 0.6584 | 0.7293 |
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| 0.7245 | 1.5377 | 9800 | 1.1397 | 0.7341 | 0.8885 | 0.5588 | 0.6861 |
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| 0.6386 | 1.5691 | 10000 | 1.1112 | 0.7294 | 0.9015 | 0.5385 | 0.6742 |
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| 0.7513 | 1.6005 | 10200 | 0.9403 | 0.7671 | 0.805 | 0.7285 | 0.7648 |
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| 0.828 | 1.6319 | 10400 | 0.9412 | 0.76 | 0.7820 | 0.7466 | 0.7639 |
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| 0.8393 | 1.6633 | 10600 | 0.9359 | 0.7553 | 0.8824 | 0.6109 | 0.7219 |
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| 0.8679 | 1.6946 | 10800 | 0.8979 | 0.7588 | 0.8415 | 0.6606 | 0.7402 |
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| 0.6735 | 1.7260 | 11000 | 1.0666 | 0.7588 | 0.8786 | 0.6222 | 0.7285 |
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| 0.8702 | 1.7574 | 11200 | 0.9554 | 0.7576 | 0.795 | 0.7195 | 0.7553 |
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| 0.7435 | 1.7888 | 11400 | 1.0937 | 0.7588 | 0.8143 | 0.6946 | 0.7497 |
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| 0.8796 | 1.8202 | 11600 | 0.9257 | 0.7824 | 0.8320 | 0.7285 | 0.7768 |
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| 0.6257 | 1.8516 | 11800 | 0.9606 | 0.7659 | 0.8172 | 0.7081 | 0.7588 |
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| 0.8589 | 1.8829 | 12000 | 0.9013 | 0.7659 | 0.8481 | 0.6697 | 0.7484 |
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| 0.865 | 1.9143 | 12200 | 1.0734 | 0.7612 | 0.7673 | 0.7760 | 0.7717 |
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| 0.8068 | 1.9457 | 12400 | 0.9214 | 0.76 | 0.8381 | 0.6674 | 0.7431 |
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| 0.6212 | 1.9771 | 12600 | 1.0116 | 0.7706 | 0.8539 | 0.6742 | 0.7535 |
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| 0.7657 | 2.0085 | 12800 | 0.9830 | 0.7718 | 0.8605 | 0.6697 | 0.7532 |
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| 0.6631 | 2.0399 | 13000 | 1.0075 | 0.7776 | 0.8005 | 0.7624 | 0.7810 |
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| 0.3003 | 2.0712 | 13200 | 1.1456 | 0.7812 | 0.8333 | 0.7240 | 0.7748 |
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| 0.5982 | 2.1026 | 13400 | 1.0728 | 0.7753 | 0.8438 | 0.6968 | 0.7633 |
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| 0.4828 | 2.1340 | 13600 | 1.0474 | 0.7753 | 0.8177 | 0.7308 | 0.7718 |
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| 126 |
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| 0.5463 | 2.1654 | 13800 | 1.0521 | 0.7776 | 0.8252 | 0.7262 | 0.7726 |
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| 127 |
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| 0.5429 | 2.1968 | 14000 | 1.0990 | 0.7706 | 0.8365 | 0.6946 | 0.7590 |
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| 0.7112 | 2.2282 | 14200 | 1.1072 | 0.7729 | 0.8507 | 0.6833 | 0.7578 |
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| 129 |
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| 0.4816 | 2.2595 | 14400 | 1.1528 | 0.7753 | 0.8277 | 0.7172 | 0.7685 |
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| 130 |
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| 0.7882 | 2.2909 | 14600 | 0.9670 | 0.7765 | 0.8214 | 0.7285 | 0.7722 |
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| 131 |
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| 0.5265 | 2.3223 | 14800 | 1.0724 | 0.7765 | 0.8298 | 0.7172 | 0.7694 |
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| 132 |
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| 0.6116 | 2.3537 | 15000 | 1.0316 | 0.7776 | 0.8203 | 0.7330 | 0.7742 |
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| 133 |
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| 0.575 | 2.3851 | 15200 | 1.1125 | 0.7741 | 0.8415 | 0.6968 | 0.7624 |
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| 134 |
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| 0.5599 | 2.4164 | 15400 | 1.0327 | 0.7765 | 0.8119 | 0.7421 | 0.7754 |
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| 135 |
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| 0.5821 | 2.4478 | 15600 | 1.0655 | 0.7776 | 0.8078 | 0.7511 | 0.7784 |
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| 136 |
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| 0.4777 | 2.4792 | 15800 | 1.1187 | 0.7835 | 0.8028 | 0.7738 | 0.7880 |
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| 137 |
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| 0.432 | 2.5106 | 16000 | 1.1973 | 0.7788 | 0.8256 | 0.7285 | 0.7740 |
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| 138 |
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| 0.4385 | 2.5420 | 16200 | 1.2155 | 0.7729 | 0.8029 | 0.7466 | 0.7737 |
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| 139 |
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| 0.6103 | 2.5734 | 16400 | 1.0527 | 0.78 | 0.8212 | 0.7376 | 0.7771 |
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| 140 |
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| 0.4618 | 2.6047 | 16600 | 1.1377 | 0.78 | 0.8164 | 0.7443 | 0.7787 |
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| 141 |
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| 0.471 | 2.6361 | 16800 | 1.1468 | 0.7788 | 0.8038 | 0.7602 | 0.7814 |
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| 142 |
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| 0.6206 | 2.6675 | 17000 | 1.1048 | 0.7765 | 0.8014 | 0.7579 | 0.7791 |
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| 143 |
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| 0.5869 | 2.6989 | 17200 | 1.1343 | 0.7776 | 0.7895 | 0.7805 | 0.7850 |
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| 144 |
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| 0.5647 | 2.7303 | 17400 | 1.0843 | 0.7859 | 0.8218 | 0.7511 | 0.7849 |
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| 145 |
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| 0.5527 | 2.7617 | 17600 | 1.0834 | 0.7847 | 0.8091 | 0.7670 | 0.7875 |
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| 146 |
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| 0.8013 | 2.7930 | 17800 | 0.9898 | 0.7894 | 0.8124 | 0.7738 | 0.7926 |
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| 147 |
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| 0.5232 | 2.8244 | 18000 | 1.0052 | 0.7859 | 0.8110 | 0.7670 | 0.7884 |
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| 148 |
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| 0.617 | 2.8558 | 18200 | 1.0083 | 0.7824 | 0.8157 | 0.7511 | 0.7821 |
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| 149 |
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| 0.5093 | 2.8872 | 18400 | 1.0510 | 0.7835 | 0.8241 | 0.7421 | 0.7810 |
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| 150 |
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| 0.5099 | 2.9186 | 18600 | 1.0758 | 0.78 | 0.8133 | 0.7489 | 0.7797 |
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| 0.6239 | 2.9499 | 18800 | 1.0726 | 0.7812 | 0.8168 | 0.7466 | 0.7801 |
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| 0.6592 | 2.9813 | 19000 | 1.0731 | 0.7788 | 0.8159 | 0.7421 | 0.7773 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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runs/Sep29_07-25-49_iit-p/events.out.tfevents.1727574955.iit-p
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,125 @@
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|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,938 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
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"0": {
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
+
"special": true
|
| 10 |
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},
|
| 11 |
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"1": {
|
| 12 |
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"content": "</s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
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"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
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"single_word": false,
|
| 17 |
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"special": true
|
| 18 |
+
},
|
| 19 |
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"2": {
|
| 20 |
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|
| 21 |
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"lstrip": false,
|
| 22 |
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"normalized": false,
|
| 23 |
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"rstrip": false,
|
| 24 |
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|
| 25 |
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"special": true
|
| 26 |
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},
|
| 27 |
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"32000": {
|
| 28 |
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"content": "<extra_id_99>",
|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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"single_word": false,
|
| 33 |
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"special": true
|
| 34 |
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},
|
| 35 |
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"32001": {
|
| 36 |
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"content": "<extra_id_98>",
|
| 37 |
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|
| 38 |
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| 39 |
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|
| 40 |
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| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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"content": "<extra_id_96>",
|
| 53 |
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|
| 54 |
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| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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| 63 |
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|
| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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"content": "<extra_id_94>",
|
| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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|
| 73 |
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"special": true
|
| 74 |
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|
| 75 |
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|
| 76 |
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"content": "<extra_id_93>",
|
| 77 |
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|
| 78 |
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| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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"content": "<extra_id_91>",
|
| 93 |
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|
| 94 |
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|
| 95 |
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"rstrip": false,
|
| 96 |
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|
| 97 |
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"special": true
|
| 98 |
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|
| 99 |
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"32009": {
|
| 100 |
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"content": "<extra_id_90>",
|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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"single_word": false,
|
| 105 |
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"special": true
|
| 106 |
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},
|
| 107 |
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|
| 108 |
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"content": "<extra_id_89>",
|
| 109 |
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|
| 110 |
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| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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| 131 |
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|
| 132 |
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| 133 |
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| 134 |
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| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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"content": "<extra_id_84>",
|
| 149 |
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|
| 150 |
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| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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"content": "<extra_id_83>",
|
| 157 |
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|
| 158 |
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| 159 |
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| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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| 168 |
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|
| 169 |
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|
| 170 |
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| 171 |
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|
| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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|
| 177 |
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| 178 |
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| 179 |
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|
| 180 |
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|
| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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|
| 186 |
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| 187 |
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|
| 188 |
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|
| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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