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  1. README.md +314 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: aubmindlab/bert-base-arabertv02
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task2_organization
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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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+ # ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task2_organization
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9694
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+ - Qwk: 0.4583
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+ - Mse: 0.9694
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+ - Rmse: 0.9846
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - 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 | Qwk | Mse | Rmse |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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+ | No log | 0.0256 | 2 | 4.7375 | 0.0010 | 4.7375 | 2.1766 |
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+ | No log | 0.0513 | 4 | 2.9917 | -0.0065 | 2.9917 | 1.7297 |
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+ | No log | 0.0769 | 6 | 1.9755 | -0.0433 | 1.9755 | 1.4055 |
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+ | No log | 0.1026 | 8 | 1.6262 | -0.0061 | 1.6262 | 1.2752 |
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+ | No log | 0.1282 | 10 | 2.2991 | -0.0340 | 2.2991 | 1.5163 |
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+ | No log | 0.1538 | 12 | 2.1336 | 0.0253 | 2.1336 | 1.4607 |
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+ | No log | 0.1795 | 14 | 1.3686 | 0.1168 | 1.3686 | 1.1699 |
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+ | No log | 0.2051 | 16 | 1.2989 | 0.1527 | 1.2989 | 1.1397 |
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+ | No log | 0.2308 | 18 | 1.3707 | 0.2071 | 1.3707 | 1.1708 |
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+ | No log | 0.2564 | 20 | 1.4799 | 0.1570 | 1.4799 | 1.2165 |
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+ | No log | 0.2821 | 22 | 1.6595 | 0.0667 | 1.6595 | 1.2882 |
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+ | No log | 0.3077 | 24 | 1.5158 | 0.1570 | 1.5158 | 1.2312 |
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+ | No log | 0.3333 | 26 | 1.4710 | 0.1051 | 1.4710 | 1.2129 |
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+ | No log | 0.3590 | 28 | 1.5160 | 0.1051 | 1.5160 | 1.2313 |
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+ | No log | 0.3846 | 30 | 1.6192 | 0.1674 | 1.6192 | 1.2725 |
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+ | No log | 0.4103 | 32 | 1.7139 | 0.1773 | 1.7139 | 1.3092 |
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+ | No log | 0.4359 | 34 | 1.7222 | 0.2374 | 1.7222 | 1.3123 |
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+ | No log | 0.4615 | 36 | 1.5954 | 0.2298 | 1.5954 | 1.2631 |
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+ | No log | 0.4872 | 38 | 1.4589 | 0.1943 | 1.4589 | 1.2078 |
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+ | No log | 0.5128 | 40 | 1.1745 | 0.2382 | 1.1745 | 1.0837 |
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+ | No log | 0.5385 | 42 | 1.0828 | 0.2748 | 1.0828 | 1.0406 |
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+ | No log | 0.5641 | 44 | 1.0683 | 0.3179 | 1.0683 | 1.0336 |
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+ | No log | 0.5897 | 46 | 1.0451 | 0.3154 | 1.0451 | 1.0223 |
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+ | No log | 0.6154 | 48 | 1.0693 | 0.3179 | 1.0693 | 1.0341 |
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+ | No log | 0.6410 | 50 | 1.2557 | 0.2763 | 1.2557 | 1.1206 |
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+ | No log | 0.6667 | 52 | 1.4146 | 0.2236 | 1.4146 | 1.1894 |
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+ | No log | 0.6923 | 54 | 1.8093 | 0.2424 | 1.8093 | 1.3451 |
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+ | No log | 0.7179 | 56 | 1.8278 | 0.2021 | 1.8278 | 1.3520 |
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+ | No log | 0.7436 | 58 | 1.4542 | 0.2028 | 1.4542 | 1.2059 |
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+ | No log | 0.7692 | 60 | 1.1710 | 0.2150 | 1.1710 | 1.0821 |
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+ | No log | 0.7949 | 62 | 1.0469 | 0.2936 | 1.0469 | 1.0232 |
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+ | No log | 0.8205 | 64 | 1.0482 | 0.2785 | 1.0482 | 1.0238 |
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+ | No log | 0.8462 | 66 | 1.1099 | 0.2005 | 1.1099 | 1.0535 |
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+ | No log | 0.8718 | 68 | 1.3582 | 0.1838 | 1.3582 | 1.1654 |
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+ | No log | 0.8974 | 70 | 1.7196 | 0.0827 | 1.7196 | 1.3113 |
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+ | No log | 0.9231 | 72 | 2.1139 | 0.2097 | 2.1139 | 1.4539 |
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+ | No log | 0.9487 | 74 | 2.0489 | 0.2028 | 2.0489 | 1.4314 |
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+ | No log | 0.9744 | 76 | 1.6385 | 0.0493 | 1.6385 | 1.2800 |
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+ | No log | 1.0 | 78 | 1.3291 | 0.1838 | 1.3291 | 1.1529 |
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+ | No log | 1.0256 | 80 | 1.0974 | 0.3236 | 1.0974 | 1.0476 |
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+ | No log | 1.0513 | 82 | 1.0632 | 0.3250 | 1.0632 | 1.0311 |
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+ | No log | 1.0769 | 84 | 1.1236 | 0.2729 | 1.1236 | 1.0600 |
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+ | No log | 1.1026 | 86 | 1.2129 | 0.0817 | 1.2129 | 1.1013 |
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+ | No log | 1.1282 | 88 | 1.1960 | 0.2149 | 1.1960 | 1.0936 |
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+ | No log | 1.1538 | 90 | 1.2397 | 0.1438 | 1.2397 | 1.1134 |
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+ | No log | 1.1795 | 92 | 1.4187 | 0.1495 | 1.4187 | 1.1911 |
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+ | No log | 1.2051 | 94 | 1.5859 | 0.1140 | 1.5859 | 1.2593 |
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+ | No log | 1.2308 | 96 | 1.5299 | 0.1084 | 1.5299 | 1.2369 |
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+ | No log | 1.2564 | 98 | 1.3567 | 0.2254 | 1.3567 | 1.1648 |
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+ | No log | 1.2821 | 100 | 1.3412 | 0.1796 | 1.3412 | 1.1581 |
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+ | No log | 1.3077 | 102 | 1.2724 | 0.1493 | 1.2724 | 1.1280 |
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+ | No log | 1.3333 | 104 | 1.0794 | 0.2584 | 1.0794 | 1.0390 |
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+ | No log | 1.3590 | 106 | 1.0350 | 0.3216 | 1.0350 | 1.0173 |
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+ | No log | 1.3846 | 108 | 1.0653 | 0.3159 | 1.0653 | 1.0321 |
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+ | No log | 1.4103 | 110 | 1.1549 | 0.2273 | 1.1549 | 1.0746 |
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+ | No log | 1.4359 | 112 | 1.1751 | 0.2417 | 1.1751 | 1.0840 |
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+ | No log | 1.4615 | 114 | 1.3787 | 0.2704 | 1.3787 | 1.1742 |
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+ | No log | 1.4872 | 116 | 1.8236 | 0.2478 | 1.8236 | 1.3504 |
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+ | No log | 1.5128 | 118 | 1.7320 | 0.2578 | 1.7320 | 1.3161 |
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+ | No log | 1.5385 | 120 | 1.6950 | 0.2051 | 1.6950 | 1.3019 |
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+ | No log | 1.5641 | 122 | 1.5096 | 0.1489 | 1.5096 | 1.2287 |
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+ | No log | 1.5897 | 124 | 1.1581 | 0.2890 | 1.1581 | 1.0761 |
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+ | No log | 1.6154 | 126 | 0.9078 | 0.4397 | 0.9078 | 0.9528 |
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+ | No log | 1.6410 | 128 | 0.9759 | 0.4202 | 0.9759 | 0.9879 |
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+ | No log | 1.6667 | 130 | 0.9900 | 0.3958 | 0.9900 | 0.9950 |
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+ | No log | 1.6923 | 132 | 0.8659 | 0.5622 | 0.8659 | 0.9305 |
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+ | No log | 1.7179 | 134 | 0.9633 | 0.3519 | 0.9633 | 0.9815 |
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+ | No log | 1.7436 | 136 | 1.0305 | 0.3144 | 1.0305 | 1.0152 |
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+ | No log | 1.7692 | 138 | 1.0824 | 0.2961 | 1.0824 | 1.0404 |
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+ | No log | 1.7949 | 140 | 0.9780 | 0.3952 | 0.9780 | 0.9889 |
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+ | No log | 1.8205 | 142 | 0.9267 | 0.4877 | 0.9267 | 0.9627 |
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+ | No log | 1.8462 | 144 | 0.9700 | 0.4703 | 0.9700 | 0.9849 |
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+ | No log | 1.8718 | 146 | 1.3025 | 0.3862 | 1.3025 | 1.1413 |
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+ | No log | 1.8974 | 148 | 1.4422 | 0.3824 | 1.4422 | 1.2009 |
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+ | No log | 1.9231 | 150 | 1.2125 | 0.3595 | 1.2125 | 1.1011 |
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+ | No log | 1.9487 | 152 | 1.0024 | 0.3618 | 1.0024 | 1.0012 |
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+ | No log | 1.9744 | 154 | 1.0093 | 0.4331 | 1.0093 | 1.0047 |
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+ | No log | 2.0 | 156 | 1.0098 | 0.4239 | 1.0098 | 1.0049 |
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+ | No log | 2.0256 | 158 | 1.0953 | 0.2170 | 1.0953 | 1.0466 |
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+ | No log | 2.0513 | 160 | 1.3229 | 0.2418 | 1.3229 | 1.1502 |
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+ | No log | 2.0769 | 162 | 1.2358 | 0.2277 | 1.2358 | 1.1117 |
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+ | No log | 2.1026 | 164 | 1.2107 | 0.2462 | 1.2107 | 1.1003 |
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+ | No log | 2.1282 | 166 | 1.0221 | 0.4463 | 1.0221 | 1.0110 |
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+ | No log | 2.1538 | 168 | 1.0227 | 0.4060 | 1.0227 | 1.0113 |
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+ | No log | 2.1795 | 170 | 1.0645 | 0.3803 | 1.0645 | 1.0318 |
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+ | No log | 2.2051 | 172 | 1.4847 | 0.3112 | 1.4847 | 1.2185 |
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+ | No log | 2.2308 | 174 | 1.5492 | 0.3036 | 1.5492 | 1.2447 |
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+ | No log | 2.2564 | 176 | 1.1275 | 0.3293 | 1.1275 | 1.0618 |
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+ | No log | 2.2821 | 178 | 1.0210 | 0.4547 | 1.0210 | 1.0105 |
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+ | No log | 2.3077 | 180 | 1.0454 | 0.5010 | 1.0454 | 1.0224 |
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+ | No log | 2.3333 | 182 | 1.0832 | 0.3715 | 1.0832 | 1.0408 |
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+ | No log | 2.3590 | 184 | 1.1162 | 0.2682 | 1.1162 | 1.0565 |
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+ | No log | 2.3846 | 186 | 1.0949 | 0.2389 | 1.0949 | 1.0464 |
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+ | No log | 2.4103 | 188 | 1.1230 | 0.2495 | 1.1230 | 1.0597 |
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+ | No log | 2.4359 | 190 | 1.0830 | 0.2966 | 1.0830 | 1.0407 |
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+ | No log | 2.4615 | 192 | 1.0519 | 0.3066 | 1.0519 | 1.0256 |
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+ | No log | 2.4872 | 194 | 1.0493 | 0.3371 | 1.0493 | 1.0244 |
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+ | No log | 2.5128 | 196 | 1.0671 | 0.3294 | 1.0671 | 1.0330 |
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+ | No log | 2.5385 | 198 | 1.1484 | 0.3184 | 1.1484 | 1.0716 |
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+ | No log | 2.5641 | 200 | 1.0765 | 0.3453 | 1.0765 | 1.0375 |
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+ | No log | 2.5897 | 202 | 1.0333 | 0.3329 | 1.0333 | 1.0165 |
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+ | No log | 2.6154 | 204 | 1.0127 | 0.4181 | 1.0127 | 1.0063 |
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+ | No log | 2.6410 | 206 | 1.0320 | 0.4181 | 1.0320 | 1.0159 |
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+ | No log | 2.6667 | 208 | 1.0474 | 0.3622 | 1.0474 | 1.0234 |
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+ | No log | 2.6923 | 210 | 1.0899 | 0.3443 | 1.0899 | 1.0440 |
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+ | No log | 2.7179 | 212 | 1.2664 | 0.3026 | 1.2664 | 1.1254 |
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+ | No log | 2.7436 | 214 | 1.3077 | 0.3210 | 1.3077 | 1.1435 |
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+ | No log | 2.7692 | 216 | 1.2109 | 0.2268 | 1.2109 | 1.1004 |
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+ | No log | 2.7949 | 218 | 1.1936 | 0.2035 | 1.1936 | 1.0925 |
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+ | No log | 2.8205 | 220 | 1.1295 | 0.2058 | 1.1295 | 1.0628 |
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+ | No log | 2.8462 | 222 | 1.1665 | 0.2596 | 1.1665 | 1.0801 |
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+ | No log | 2.8718 | 224 | 1.4371 | 0.2983 | 1.4371 | 1.1988 |
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+ | No log | 2.8974 | 226 | 1.6083 | 0.3056 | 1.6083 | 1.2682 |
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+ | No log | 2.9231 | 228 | 1.3209 | 0.3163 | 1.3209 | 1.1493 |
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+ | No log | 2.9487 | 230 | 1.1142 | 0.3161 | 1.1142 | 1.0556 |
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+ | No log | 2.9744 | 232 | 1.1344 | 0.3546 | 1.1344 | 1.0651 |
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+ | No log | 3.0 | 234 | 1.3157 | 0.2962 | 1.3157 | 1.1471 |
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+ | No log | 3.0256 | 236 | 1.2165 | 0.3087 | 1.2165 | 1.1030 |
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+ | No log | 3.0513 | 238 | 1.0565 | 0.2679 | 1.0565 | 1.0279 |
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+ | No log | 3.0769 | 240 | 1.0539 | 0.2850 | 1.0539 | 1.0266 |
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+ | No log | 3.1026 | 242 | 1.0625 | 0.2241 | 1.0625 | 1.0308 |
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+ | No log | 3.1282 | 244 | 1.1147 | 0.2989 | 1.1147 | 1.0558 |
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+ | No log | 3.1538 | 246 | 1.1550 | 0.3347 | 1.1550 | 1.0747 |
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+ | No log | 3.1795 | 248 | 1.1358 | 0.3189 | 1.1358 | 1.0657 |
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+ | No log | 3.2051 | 250 | 1.1474 | 0.3634 | 1.1474 | 1.0712 |
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+ | No log | 3.2308 | 252 | 1.1726 | 0.3634 | 1.1726 | 1.0829 |
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+ | No log | 3.2564 | 254 | 1.2377 | 0.2444 | 1.2377 | 1.1125 |
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+ | No log | 3.2821 | 256 | 1.1341 | 0.3865 | 1.1341 | 1.0649 |
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+ | No log | 3.3077 | 258 | 1.1020 | 0.2541 | 1.1020 | 1.0498 |
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+ | No log | 3.3333 | 260 | 1.0951 | 0.2812 | 1.0951 | 1.0465 |
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+ | No log | 3.3590 | 262 | 1.1565 | 0.3115 | 1.1565 | 1.0754 |
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+ | No log | 3.3846 | 264 | 1.2567 | 0.3004 | 1.2567 | 1.1210 |
184
+ | No log | 3.4103 | 266 | 1.1808 | 0.2746 | 1.1808 | 1.0867 |
185
+ | No log | 3.4359 | 268 | 1.1272 | 0.2268 | 1.1272 | 1.0617 |
186
+ | No log | 3.4615 | 270 | 1.1242 | 0.3314 | 1.1242 | 1.0603 |
187
+ | No log | 3.4872 | 272 | 1.0696 | 0.2896 | 1.0696 | 1.0342 |
188
+ | No log | 3.5128 | 274 | 1.0394 | 0.3463 | 1.0394 | 1.0195 |
189
+ | No log | 3.5385 | 276 | 1.0352 | 0.3174 | 1.0352 | 1.0174 |
190
+ | No log | 3.5641 | 278 | 1.0200 | 0.2528 | 1.0200 | 1.0099 |
191
+ | No log | 3.5897 | 280 | 1.0344 | 0.2625 | 1.0344 | 1.0170 |
192
+ | No log | 3.6154 | 282 | 1.0211 | 0.2920 | 1.0211 | 1.0105 |
193
+ | No log | 3.6410 | 284 | 1.0156 | 0.3608 | 1.0156 | 1.0078 |
194
+ | No log | 3.6667 | 286 | 1.0186 | 0.4197 | 1.0186 | 1.0093 |
195
+ | No log | 3.6923 | 288 | 1.0512 | 0.4102 | 1.0512 | 1.0253 |
196
+ | No log | 3.7179 | 290 | 1.1240 | 0.4191 | 1.1240 | 1.0602 |
197
+ | No log | 3.7436 | 292 | 1.2032 | 0.3811 | 1.2032 | 1.0969 |
198
+ | No log | 3.7692 | 294 | 1.1027 | 0.3636 | 1.1027 | 1.0501 |
199
+ | No log | 3.7949 | 296 | 1.0430 | 0.4328 | 1.0430 | 1.0213 |
200
+ | No log | 3.8205 | 298 | 1.0142 | 0.3256 | 1.0142 | 1.0071 |
201
+ | No log | 3.8462 | 300 | 1.0157 | 0.3354 | 1.0157 | 1.0078 |
202
+ | No log | 3.8718 | 302 | 1.0404 | 0.3626 | 1.0404 | 1.0200 |
203
+ | No log | 3.8974 | 304 | 1.0469 | 0.3584 | 1.0469 | 1.0232 |
204
+ | No log | 3.9231 | 306 | 1.0306 | 0.3542 | 1.0306 | 1.0152 |
205
+ | No log | 3.9487 | 308 | 1.0042 | 0.3608 | 1.0042 | 1.0021 |
206
+ | No log | 3.9744 | 310 | 1.0247 | 0.4238 | 1.0247 | 1.0123 |
207
+ | No log | 4.0 | 312 | 1.0090 | 0.3961 | 1.0090 | 1.0045 |
208
+ | No log | 4.0256 | 314 | 1.0063 | 0.3957 | 1.0063 | 1.0031 |
209
+ | No log | 4.0513 | 316 | 1.0023 | 0.3724 | 1.0023 | 1.0011 |
210
+ | No log | 4.0769 | 318 | 0.9845 | 0.4056 | 0.9845 | 0.9922 |
211
+ | No log | 4.1026 | 320 | 1.0317 | 0.3806 | 1.0317 | 1.0158 |
212
+ | No log | 4.1282 | 322 | 1.0495 | 0.3719 | 1.0495 | 1.0245 |
213
+ | No log | 4.1538 | 324 | 1.0175 | 0.4042 | 1.0175 | 1.0087 |
214
+ | No log | 4.1795 | 326 | 0.9834 | 0.3920 | 0.9834 | 0.9917 |
215
+ | No log | 4.2051 | 328 | 1.0013 | 0.4059 | 1.0013 | 1.0007 |
216
+ | No log | 4.2308 | 330 | 1.0798 | 0.3714 | 1.0798 | 1.0391 |
217
+ | No log | 4.2564 | 332 | 1.2082 | 0.2228 | 1.2082 | 1.0992 |
218
+ | No log | 4.2821 | 334 | 1.1199 | 0.3314 | 1.1199 | 1.0583 |
219
+ | No log | 4.3077 | 336 | 1.0127 | 0.4253 | 1.0127 | 1.0063 |
220
+ | No log | 4.3333 | 338 | 1.0232 | 0.4620 | 1.0232 | 1.0115 |
221
+ | No log | 4.3590 | 340 | 1.0261 | 0.4415 | 1.0261 | 1.0130 |
222
+ | No log | 4.3846 | 342 | 1.1688 | 0.3007 | 1.1688 | 1.0811 |
223
+ | No log | 4.4103 | 344 | 1.1841 | 0.3070 | 1.1841 | 1.0882 |
224
+ | No log | 4.4359 | 346 | 1.1134 | 0.3314 | 1.1134 | 1.0552 |
225
+ | No log | 4.4615 | 348 | 1.0291 | 0.4420 | 1.0291 | 1.0145 |
226
+ | No log | 4.4872 | 350 | 1.0173 | 0.4286 | 1.0173 | 1.0086 |
227
+ | No log | 4.5128 | 352 | 1.0133 | 0.4250 | 1.0133 | 1.0066 |
228
+ | No log | 4.5385 | 354 | 1.0261 | 0.3969 | 1.0261 | 1.0130 |
229
+ | No log | 4.5641 | 356 | 1.1425 | 0.3007 | 1.1425 | 1.0689 |
230
+ | No log | 4.5897 | 358 | 1.2929 | 0.2783 | 1.2929 | 1.1371 |
231
+ | No log | 4.6154 | 360 | 1.2279 | 0.3309 | 1.2279 | 1.1081 |
232
+ | No log | 4.6410 | 362 | 1.0431 | 0.3820 | 1.0431 | 1.0213 |
233
+ | No log | 4.6667 | 364 | 1.0126 | 0.4798 | 1.0126 | 1.0063 |
234
+ | No log | 4.6923 | 366 | 1.0203 | 0.3969 | 1.0203 | 1.0101 |
235
+ | No log | 4.7179 | 368 | 1.0970 | 0.3052 | 1.0970 | 1.0474 |
236
+ | No log | 4.7436 | 370 | 1.1310 | 0.2657 | 1.1310 | 1.0635 |
237
+ | No log | 4.7692 | 372 | 1.0633 | 0.3052 | 1.0633 | 1.0312 |
238
+ | No log | 4.7949 | 374 | 1.0012 | 0.4292 | 1.0012 | 1.0006 |
239
+ | No log | 4.8205 | 376 | 0.9940 | 0.4418 | 0.9940 | 0.9970 |
240
+ | No log | 4.8462 | 378 | 0.9893 | 0.3938 | 0.9893 | 0.9946 |
241
+ | No log | 4.8718 | 380 | 0.9848 | 0.3979 | 0.9848 | 0.9924 |
242
+ | No log | 4.8974 | 382 | 1.0493 | 0.3805 | 1.0493 | 1.0243 |
243
+ | No log | 4.9231 | 384 | 1.1245 | 0.3026 | 1.1245 | 1.0604 |
244
+ | No log | 4.9487 | 386 | 1.1213 | 0.3254 | 1.1213 | 1.0589 |
245
+ | No log | 4.9744 | 388 | 1.0902 | 0.3928 | 1.0902 | 1.0441 |
246
+ | No log | 5.0 | 390 | 1.0638 | 0.3768 | 1.0638 | 1.0314 |
247
+ | No log | 5.0256 | 392 | 1.0079 | 0.3865 | 1.0079 | 1.0040 |
248
+ | No log | 5.0513 | 394 | 0.9679 | 0.4328 | 0.9679 | 0.9838 |
249
+ | No log | 5.0769 | 396 | 0.9885 | 0.4007 | 0.9885 | 0.9942 |
250
+ | No log | 5.1026 | 398 | 0.9930 | 0.4197 | 0.9930 | 0.9965 |
251
+ | No log | 5.1282 | 400 | 1.0033 | 0.4328 | 1.0033 | 1.0017 |
252
+ | No log | 5.1538 | 402 | 1.0072 | 0.4197 | 1.0072 | 1.0036 |
253
+ | No log | 5.1795 | 404 | 1.0058 | 0.4159 | 1.0058 | 1.0029 |
254
+ | No log | 5.2051 | 406 | 0.9949 | 0.4159 | 0.9949 | 0.9974 |
255
+ | No log | 5.2308 | 408 | 1.0238 | 0.3913 | 1.0238 | 1.0118 |
256
+ | No log | 5.2564 | 410 | 1.0363 | 0.4048 | 1.0363 | 1.0180 |
257
+ | No log | 5.2821 | 412 | 0.9810 | 0.4257 | 0.9810 | 0.9905 |
258
+ | No log | 5.3077 | 414 | 0.9771 | 0.4715 | 0.9771 | 0.9885 |
259
+ | No log | 5.3333 | 416 | 1.0692 | 0.3378 | 1.0692 | 1.0340 |
260
+ | No log | 5.3590 | 418 | 1.2220 | 0.2846 | 1.2220 | 1.1054 |
261
+ | No log | 5.3846 | 420 | 1.4192 | 0.3234 | 1.4192 | 1.1913 |
262
+ | No log | 5.4103 | 422 | 1.1986 | 0.2714 | 1.1986 | 1.0948 |
263
+ | No log | 5.4359 | 424 | 0.9608 | 0.4023 | 0.9608 | 0.9802 |
264
+ | No log | 5.4615 | 426 | 1.0033 | 0.4420 | 1.0033 | 1.0017 |
265
+ | No log | 5.4872 | 428 | 1.0201 | 0.4074 | 1.0201 | 1.0100 |
266
+ | No log | 5.5128 | 430 | 0.9855 | 0.4352 | 0.9855 | 0.9927 |
267
+ | No log | 5.5385 | 432 | 1.1124 | 0.3378 | 1.1124 | 1.0547 |
268
+ | No log | 5.5641 | 434 | 1.2371 | 0.3309 | 1.2371 | 1.1122 |
269
+ | No log | 5.5897 | 436 | 1.3602 | 0.3290 | 1.3602 | 1.1663 |
270
+ | No log | 5.6154 | 438 | 1.2922 | 0.3210 | 1.2922 | 1.1367 |
271
+ | No log | 5.6410 | 440 | 1.0701 | 0.2486 | 1.0701 | 1.0345 |
272
+ | No log | 5.6667 | 442 | 0.9910 | 0.3539 | 0.9910 | 0.9955 |
273
+ | No log | 5.6923 | 444 | 0.9823 | 0.3392 | 0.9823 | 0.9911 |
274
+ | No log | 5.7179 | 446 | 0.9807 | 0.3392 | 0.9807 | 0.9903 |
275
+ | No log | 5.7436 | 448 | 1.0233 | 0.4197 | 1.0233 | 1.0116 |
276
+ | No log | 5.7692 | 450 | 1.1253 | 0.2417 | 1.1253 | 1.0608 |
277
+ | No log | 5.7949 | 452 | 1.1545 | 0.2631 | 1.1545 | 1.0745 |
278
+ | No log | 5.8205 | 454 | 1.1007 | 0.3007 | 1.1007 | 1.0492 |
279
+ | No log | 5.8462 | 456 | 1.0364 | 0.4061 | 1.0364 | 1.0180 |
280
+ | No log | 5.8718 | 458 | 1.0232 | 0.4257 | 1.0232 | 1.0115 |
281
+ | No log | 5.8974 | 460 | 1.0106 | 0.3885 | 1.0106 | 1.0053 |
282
+ | No log | 5.9231 | 462 | 1.0241 | 0.3885 | 1.0241 | 1.0120 |
283
+ | No log | 5.9487 | 464 | 1.0301 | 0.3885 | 1.0301 | 1.0149 |
284
+ | No log | 5.9744 | 466 | 1.0237 | 0.3885 | 1.0237 | 1.0118 |
285
+ | No log | 6.0 | 468 | 1.0145 | 0.3885 | 1.0145 | 1.0072 |
286
+ | No log | 6.0256 | 470 | 1.0139 | 0.3596 | 1.0139 | 1.0069 |
287
+ | No log | 6.0513 | 472 | 1.0313 | 0.3885 | 1.0313 | 1.0155 |
288
+ | No log | 6.0769 | 474 | 1.0755 | 0.3169 | 1.0755 | 1.0370 |
289
+ | No log | 6.1026 | 476 | 1.0723 | 0.3169 | 1.0723 | 1.0355 |
290
+ | No log | 6.1282 | 478 | 1.0061 | 0.4023 | 1.0061 | 1.0030 |
291
+ | No log | 6.1538 | 480 | 0.9902 | 0.4123 | 0.9902 | 0.9951 |
292
+ | No log | 6.1795 | 482 | 0.9937 | 0.4352 | 0.9937 | 0.9968 |
293
+ | No log | 6.2051 | 484 | 1.0106 | 0.4294 | 1.0106 | 1.0053 |
294
+ | No log | 6.2308 | 486 | 1.0963 | 0.3273 | 1.0963 | 1.0471 |
295
+ | No log | 6.2564 | 488 | 1.1524 | 0.2103 | 1.1524 | 1.0735 |
296
+ | No log | 6.2821 | 490 | 1.1221 | 0.2316 | 1.1221 | 1.0593 |
297
+ | No log | 6.3077 | 492 | 1.0396 | 0.3542 | 1.0396 | 1.0196 |
298
+ | No log | 6.3333 | 494 | 1.0147 | 0.4352 | 1.0147 | 1.0073 |
299
+ | No log | 6.3590 | 496 | 1.0259 | 0.4045 | 1.0259 | 1.0129 |
300
+ | No log | 6.3846 | 498 | 1.0190 | 0.4045 | 1.0190 | 1.0095 |
301
+ | 0.4379 | 6.4103 | 500 | 1.0032 | 0.4715 | 1.0032 | 1.0016 |
302
+ | 0.4379 | 6.4359 | 502 | 1.0680 | 0.2581 | 1.0680 | 1.0335 |
303
+ | 0.4379 | 6.4615 | 504 | 1.1819 | 0.2619 | 1.1819 | 1.0871 |
304
+ | 0.4379 | 6.4872 | 506 | 1.1652 | 0.2690 | 1.1652 | 1.0794 |
305
+ | 0.4379 | 6.5128 | 508 | 1.0339 | 0.3572 | 1.0339 | 1.0168 |
306
+ | 0.4379 | 6.5385 | 510 | 0.9694 | 0.4583 | 0.9694 | 0.9846 |
307
+
308
+
309
+ ### Framework versions
310
+
311
+ - Transformers 4.44.2
312
+ - Pytorch 2.4.0+cu118
313
+ - Datasets 2.21.0
314
+ - Tokenizers 0.19.1
config.json ADDED
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+ "problem_type": "regression",
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+ "transformers_version": "4.44.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 64000
32
+ }
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