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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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task5_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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task5_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: 0.7770
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+ - Qwk: 0.4661
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+ - Mse: 0.7770
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+ - Rmse: 0.8815
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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 | 0.0408 | 2 | 3.8303 | -0.0108 | 3.8303 | 1.9571 |
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+ | No log | 0.0816 | 4 | 2.0122 | 0.0536 | 2.0122 | 1.4185 |
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+ | No log | 0.1224 | 6 | 1.8429 | 0.0435 | 1.8429 | 1.3575 |
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+ | No log | 0.1633 | 8 | 1.4026 | 0.0500 | 1.4026 | 1.1843 |
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+ | No log | 0.2041 | 10 | 1.0782 | 0.2711 | 1.0782 | 1.0384 |
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+ | No log | 0.2449 | 12 | 1.0654 | 0.2834 | 1.0654 | 1.0322 |
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+ | No log | 0.2857 | 14 | 1.1169 | 0.2125 | 1.1169 | 1.0568 |
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+ | No log | 0.3265 | 16 | 1.2629 | 0.2089 | 1.2629 | 1.1238 |
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+ | No log | 0.3673 | 18 | 1.7214 | 0.0863 | 1.7214 | 1.3120 |
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+ | No log | 0.4082 | 20 | 1.7851 | 0.0844 | 1.7851 | 1.3361 |
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+ | No log | 0.4490 | 22 | 1.8526 | 0.0339 | 1.8526 | 1.3611 |
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+ | No log | 0.4898 | 24 | 1.4119 | 0.1466 | 1.4119 | 1.1882 |
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+ | No log | 0.5306 | 26 | 1.1043 | 0.2114 | 1.1043 | 1.0508 |
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+ | No log | 0.5714 | 28 | 1.1574 | -0.0724 | 1.1574 | 1.0758 |
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+ | No log | 0.6122 | 30 | 1.1778 | -0.0918 | 1.1778 | 1.0853 |
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+ | No log | 0.6531 | 32 | 1.1552 | 0.1101 | 1.1552 | 1.0748 |
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+ | No log | 0.6939 | 34 | 1.1267 | 0.1962 | 1.1267 | 1.0614 |
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+ | No log | 0.7347 | 36 | 1.1135 | 0.1962 | 1.1135 | 1.0552 |
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+ | No log | 0.7755 | 38 | 1.0926 | 0.1304 | 1.0926 | 1.0453 |
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+ | No log | 0.8163 | 40 | 1.1147 | 0.1119 | 1.1147 | 1.0558 |
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+ | No log | 0.8571 | 42 | 1.2565 | 0.1910 | 1.2565 | 1.1209 |
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+ | No log | 0.8980 | 44 | 1.3115 | 0.0760 | 1.3115 | 1.1452 |
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+ | No log | 0.9388 | 46 | 1.2593 | 0.1790 | 1.2593 | 1.1222 |
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+ | No log | 0.9796 | 48 | 1.2045 | 0.1744 | 1.2045 | 1.0975 |
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+ | No log | 1.0204 | 50 | 1.1033 | 0.2662 | 1.1033 | 1.0504 |
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+ | No log | 1.0612 | 52 | 1.1049 | 0.1848 | 1.1049 | 1.0511 |
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+ | No log | 1.1020 | 54 | 1.2900 | 0.2017 | 1.2900 | 1.1358 |
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+ | No log | 1.1429 | 56 | 1.3002 | 0.1880 | 1.3002 | 1.1402 |
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+ | No log | 1.1837 | 58 | 1.4119 | 0.1476 | 1.4119 | 1.1883 |
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+ | No log | 1.2245 | 60 | 1.4609 | 0.1857 | 1.4609 | 1.2087 |
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+ | No log | 1.2653 | 62 | 1.3438 | 0.2245 | 1.3438 | 1.1592 |
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+ | No log | 1.3061 | 64 | 1.0872 | 0.2643 | 1.0872 | 1.0427 |
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+ | No log | 1.3469 | 66 | 1.0448 | 0.375 | 1.0448 | 1.0222 |
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+ | No log | 1.3878 | 68 | 1.3509 | 0.2593 | 1.3509 | 1.1623 |
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+ | No log | 1.4286 | 70 | 1.3239 | 0.3056 | 1.3239 | 1.1506 |
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+ | No log | 1.4694 | 72 | 0.9895 | 0.3584 | 0.9895 | 0.9947 |
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+ | No log | 1.5102 | 74 | 1.0255 | 0.2363 | 1.0255 | 1.0127 |
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+ | No log | 1.5510 | 76 | 1.1748 | 0.1675 | 1.1748 | 1.0839 |
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+ | No log | 1.5918 | 78 | 1.2450 | 0.1587 | 1.2450 | 1.1158 |
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+ | No log | 1.6327 | 80 | 1.2050 | 0.1587 | 1.2050 | 1.0977 |
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+ | No log | 1.6735 | 82 | 1.1198 | 0.1658 | 1.1198 | 1.0582 |
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+ | No log | 1.7143 | 84 | 1.1471 | 0.1658 | 1.1471 | 1.0710 |
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+ | No log | 1.7551 | 86 | 1.1886 | 0.1989 | 1.1886 | 1.0902 |
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+ | No log | 1.7959 | 88 | 1.1462 | 0.2665 | 1.1462 | 1.0706 |
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+ | No log | 1.8367 | 90 | 1.0506 | 0.3526 | 1.0506 | 1.0250 |
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+ | No log | 1.8776 | 92 | 0.9772 | 0.2220 | 0.9772 | 0.9885 |
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+ | No log | 1.9184 | 94 | 0.9407 | 0.2643 | 0.9407 | 0.9699 |
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+ | No log | 1.9592 | 96 | 0.9296 | 0.3004 | 0.9296 | 0.9642 |
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+ | No log | 2.0 | 98 | 0.9631 | 0.4080 | 0.9631 | 0.9814 |
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+ | No log | 2.0408 | 100 | 0.9953 | 0.3584 | 0.9953 | 0.9976 |
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+ | No log | 2.0816 | 102 | 1.0488 | 0.3569 | 1.0488 | 1.0241 |
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+ | No log | 2.1224 | 104 | 1.1177 | 0.3274 | 1.1177 | 1.0572 |
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+ | No log | 2.1633 | 106 | 1.0609 | 0.4138 | 1.0609 | 1.0300 |
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+ | No log | 2.2041 | 108 | 0.9894 | 0.4632 | 0.9894 | 0.9947 |
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+ | No log | 2.2449 | 110 | 0.9815 | 0.4872 | 0.9815 | 0.9907 |
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+ | No log | 2.2857 | 112 | 1.0024 | 0.4731 | 1.0024 | 1.0012 |
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+ | No log | 2.3265 | 114 | 0.8710 | 0.4079 | 0.8710 | 0.9333 |
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+ | No log | 2.3673 | 116 | 0.8409 | 0.4522 | 0.8409 | 0.9170 |
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+ | No log | 2.4082 | 118 | 0.8694 | 0.4008 | 0.8694 | 0.9324 |
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+ | No log | 2.4490 | 120 | 0.9393 | 0.3970 | 0.9393 | 0.9692 |
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+ | No log | 2.4898 | 122 | 0.9335 | 0.3970 | 0.9335 | 0.9662 |
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+ | No log | 2.5306 | 124 | 0.9063 | 0.3649 | 0.9063 | 0.9520 |
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+ | No log | 2.5714 | 126 | 0.9063 | 0.3824 | 0.9063 | 0.9520 |
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+ | No log | 2.6122 | 128 | 0.9049 | 0.3824 | 0.9049 | 0.9513 |
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+ | No log | 2.6531 | 130 | 0.9071 | 0.4089 | 0.9071 | 0.9524 |
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+ | No log | 2.6939 | 132 | 0.8724 | 0.4375 | 0.8724 | 0.9340 |
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+ | No log | 2.7347 | 134 | 0.8504 | 0.4690 | 0.8504 | 0.9222 |
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+ | No log | 2.7755 | 136 | 0.8735 | 0.5102 | 0.8735 | 0.9346 |
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+ | No log | 2.8163 | 138 | 1.0001 | 0.4401 | 1.0001 | 1.0000 |
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+ | No log | 2.8571 | 140 | 1.2065 | 0.2492 | 1.2065 | 1.0984 |
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+ | No log | 2.8980 | 142 | 1.2830 | 0.1396 | 1.2830 | 1.1327 |
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+ | No log | 2.9388 | 144 | 1.2604 | 0.2511 | 1.2604 | 1.1227 |
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+ | No log | 2.9796 | 146 | 0.9592 | 0.3986 | 0.9592 | 0.9794 |
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+ | No log | 3.0204 | 148 | 0.8850 | 0.4857 | 0.8850 | 0.9408 |
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+ | No log | 3.0612 | 150 | 0.8986 | 0.4720 | 0.8986 | 0.9480 |
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+ | No log | 3.1020 | 152 | 0.8494 | 0.4406 | 0.8494 | 0.9216 |
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+ | No log | 3.1429 | 154 | 0.8523 | 0.4063 | 0.8523 | 0.9232 |
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+ | No log | 3.1837 | 156 | 0.8467 | 0.4379 | 0.8467 | 0.9202 |
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+ | No log | 3.2245 | 158 | 0.7869 | 0.5206 | 0.7869 | 0.8871 |
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+ | No log | 3.2653 | 160 | 0.7863 | 0.5204 | 0.7863 | 0.8868 |
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+ | No log | 3.3061 | 162 | 0.8934 | 0.4326 | 0.8934 | 0.9452 |
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+ | No log | 3.3469 | 164 | 0.9196 | 0.3663 | 0.9196 | 0.9589 |
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+ | No log | 3.3878 | 166 | 0.9288 | 0.3637 | 0.9288 | 0.9638 |
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+ | No log | 3.4286 | 168 | 0.9240 | 0.3485 | 0.9240 | 0.9613 |
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+ | No log | 3.4694 | 170 | 0.9109 | 0.3425 | 0.9109 | 0.9544 |
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+ | No log | 3.5102 | 172 | 0.8705 | 0.3656 | 0.8705 | 0.9330 |
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+ | No log | 3.5510 | 174 | 0.8891 | 0.3877 | 0.8891 | 0.9429 |
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+ | No log | 3.5918 | 176 | 1.0550 | 0.2791 | 1.0550 | 1.0271 |
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+ | No log | 3.6327 | 178 | 1.4579 | 0.0119 | 1.4579 | 1.2074 |
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+ | No log | 3.6735 | 180 | 1.5615 | -0.0912 | 1.5615 | 1.2496 |
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+ | No log | 3.7143 | 182 | 1.3517 | -0.0181 | 1.3517 | 1.1626 |
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+ | No log | 3.7551 | 184 | 0.9942 | 0.3578 | 0.9942 | 0.9971 |
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+ | No log | 3.7959 | 186 | 0.9241 | 0.4992 | 0.9241 | 0.9613 |
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+ | No log | 3.8367 | 188 | 0.9910 | 0.4537 | 0.9910 | 0.9955 |
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+ | No log | 3.8776 | 190 | 0.8988 | 0.4463 | 0.8988 | 0.9480 |
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+ | No log | 3.9184 | 192 | 0.8790 | 0.5534 | 0.8790 | 0.9376 |
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+ | No log | 3.9592 | 194 | 1.0504 | 0.3986 | 1.0504 | 1.0249 |
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+ | No log | 4.0 | 196 | 1.0720 | 0.3831 | 1.0720 | 1.0354 |
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+ | No log | 4.0408 | 198 | 0.9614 | 0.4326 | 0.9614 | 0.9805 |
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+ | No log | 4.0816 | 200 | 0.8597 | 0.4192 | 0.8597 | 0.9272 |
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+ | No log | 4.1224 | 202 | 0.8633 | 0.3243 | 0.8633 | 0.9291 |
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+ | No log | 4.1633 | 204 | 0.8629 | 0.3797 | 0.8629 | 0.9289 |
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+ | No log | 4.2041 | 206 | 0.8927 | 0.4209 | 0.8927 | 0.9448 |
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+ | No log | 4.2449 | 208 | 0.8866 | 0.4478 | 0.8866 | 0.9416 |
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+ | No log | 4.2857 | 210 | 0.8681 | 0.4531 | 0.8681 | 0.9317 |
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+ | No log | 4.3265 | 212 | 0.8731 | 0.3476 | 0.8731 | 0.9344 |
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+ | No log | 4.3673 | 214 | 0.9183 | 0.4152 | 0.9183 | 0.9583 |
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+ | No log | 4.4082 | 216 | 0.8559 | 0.4363 | 0.8559 | 0.9252 |
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+ | No log | 4.4490 | 218 | 0.8208 | 0.4882 | 0.8208 | 0.9060 |
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+ | No log | 4.4898 | 220 | 0.8481 | 0.4828 | 0.8481 | 0.9209 |
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+ | No log | 4.5306 | 222 | 0.9391 | 0.4555 | 0.9391 | 0.9690 |
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+ | No log | 4.5714 | 224 | 0.9065 | 0.4444 | 0.9065 | 0.9521 |
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+ | No log | 4.6122 | 226 | 0.8839 | 0.4318 | 0.8839 | 0.9401 |
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+ | No log | 4.6531 | 228 | 0.8328 | 0.4579 | 0.8328 | 0.9126 |
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+ | No log | 4.6939 | 230 | 0.8443 | 0.4579 | 0.8443 | 0.9188 |
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+ | No log | 4.7347 | 232 | 0.8511 | 0.4579 | 0.8511 | 0.9226 |
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+ | No log | 4.7755 | 234 | 0.9053 | 0.4568 | 0.9053 | 0.9515 |
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+ | No log | 4.8163 | 236 | 0.9011 | 0.4568 | 0.9011 | 0.9493 |
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+ | No log | 4.8571 | 238 | 0.8959 | 0.4584 | 0.8959 | 0.9465 |
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+ | No log | 4.8980 | 240 | 0.8603 | 0.4269 | 0.8603 | 0.9275 |
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+ | No log | 4.9388 | 242 | 0.8423 | 0.4180 | 0.8423 | 0.9177 |
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+ | No log | 4.9796 | 244 | 0.8207 | 0.4180 | 0.8207 | 0.9059 |
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+ | No log | 5.0204 | 246 | 0.8283 | 0.4742 | 0.8283 | 0.9101 |
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+ | No log | 5.0612 | 248 | 0.9455 | 0.4681 | 0.9455 | 0.9724 |
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+ | No log | 5.1020 | 250 | 0.9269 | 0.5387 | 0.9269 | 0.9627 |
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+ | No log | 5.1429 | 252 | 0.8217 | 0.4873 | 0.8217 | 0.9065 |
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+ | No log | 5.1837 | 254 | 0.8220 | 0.4118 | 0.8220 | 0.9067 |
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+ | No log | 5.2245 | 256 | 0.8407 | 0.4118 | 0.8407 | 0.9169 |
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+ | No log | 5.2653 | 258 | 0.7970 | 0.4524 | 0.7970 | 0.8928 |
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+ | No log | 5.3061 | 260 | 0.9067 | 0.4573 | 0.9067 | 0.9522 |
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+ | No log | 5.3469 | 262 | 1.0312 | 0.3832 | 1.0312 | 1.0155 |
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+ | No log | 5.3878 | 264 | 0.9423 | 0.3953 | 0.9423 | 0.9707 |
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+ | No log | 5.4286 | 266 | 0.8070 | 0.4965 | 0.8070 | 0.8983 |
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+ | No log | 5.4694 | 268 | 0.7701 | 0.4119 | 0.7701 | 0.8776 |
186
+ | No log | 5.5102 | 270 | 0.7617 | 0.4119 | 0.7617 | 0.8728 |
187
+ | No log | 5.5510 | 272 | 0.7594 | 0.5113 | 0.7594 | 0.8714 |
188
+ | No log | 5.5918 | 274 | 0.8524 | 0.4560 | 0.8524 | 0.9233 |
189
+ | No log | 5.6327 | 276 | 0.9798 | 0.4668 | 0.9798 | 0.9899 |
190
+ | No log | 5.6735 | 278 | 0.9843 | 0.4668 | 0.9843 | 0.9921 |
191
+ | No log | 5.7143 | 280 | 0.8174 | 0.5266 | 0.8174 | 0.9041 |
192
+ | No log | 5.7551 | 282 | 0.7297 | 0.5247 | 0.7297 | 0.8542 |
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+ | No log | 5.7959 | 284 | 0.7274 | 0.5146 | 0.7274 | 0.8529 |
194
+ | No log | 5.8367 | 286 | 0.7568 | 0.5909 | 0.7568 | 0.8699 |
195
+ | No log | 5.8776 | 288 | 0.8360 | 0.4916 | 0.8360 | 0.9143 |
196
+ | No log | 5.9184 | 290 | 0.9485 | 0.4667 | 0.9485 | 0.9739 |
197
+ | No log | 5.9592 | 292 | 0.9847 | 0.4467 | 0.9847 | 0.9923 |
198
+ | No log | 6.0 | 294 | 0.9085 | 0.4785 | 0.9085 | 0.9532 |
199
+ | No log | 6.0408 | 296 | 0.7868 | 0.5190 | 0.7868 | 0.8870 |
200
+ | No log | 6.0816 | 298 | 0.7829 | 0.4156 | 0.7829 | 0.8848 |
201
+ | No log | 6.1224 | 300 | 0.8368 | 0.3407 | 0.8368 | 0.9148 |
202
+ | No log | 6.1633 | 302 | 0.8429 | 0.3435 | 0.8429 | 0.9181 |
203
+ | No log | 6.2041 | 304 | 0.8283 | 0.3221 | 0.8283 | 0.9101 |
204
+ | No log | 6.2449 | 306 | 0.8555 | 0.4162 | 0.8555 | 0.9249 |
205
+ | No log | 6.2857 | 308 | 0.9120 | 0.3623 | 0.9120 | 0.9550 |
206
+ | No log | 6.3265 | 310 | 0.9277 | 0.3623 | 0.9277 | 0.9632 |
207
+ | No log | 6.3673 | 312 | 0.8903 | 0.3763 | 0.8903 | 0.9436 |
208
+ | No log | 6.4082 | 314 | 0.8652 | 0.3663 | 0.8652 | 0.9302 |
209
+ | No log | 6.4490 | 316 | 0.8948 | 0.4681 | 0.8948 | 0.9459 |
210
+ | No log | 6.4898 | 318 | 0.9926 | 0.3881 | 0.9926 | 0.9963 |
211
+ | No log | 6.5306 | 320 | 0.9759 | 0.3985 | 0.9759 | 0.9879 |
212
+ | No log | 6.5714 | 322 | 0.9936 | 0.4449 | 0.9936 | 0.9968 |
213
+ | No log | 6.6122 | 324 | 1.0076 | 0.4667 | 1.0076 | 1.0038 |
214
+ | No log | 6.6531 | 326 | 0.9600 | 0.4898 | 0.9600 | 0.9798 |
215
+ | No log | 6.6939 | 328 | 0.8548 | 0.4318 | 0.8548 | 0.9246 |
216
+ | No log | 6.7347 | 330 | 0.7984 | 0.3819 | 0.7984 | 0.8935 |
217
+ | No log | 6.7755 | 332 | 0.8075 | 0.3959 | 0.8075 | 0.8986 |
218
+ | No log | 6.8163 | 334 | 0.8644 | 0.4450 | 0.8644 | 0.9297 |
219
+ | No log | 6.8571 | 336 | 0.8481 | 0.3939 | 0.8481 | 0.9209 |
220
+ | No log | 6.8980 | 338 | 0.8295 | 0.3959 | 0.8295 | 0.9108 |
221
+ | No log | 6.9388 | 340 | 0.8425 | 0.4318 | 0.8425 | 0.9179 |
222
+ | No log | 6.9796 | 342 | 0.8605 | 0.4180 | 0.8605 | 0.9276 |
223
+ | No log | 7.0204 | 344 | 0.8735 | 0.4291 | 0.8735 | 0.9346 |
224
+ | No log | 7.0612 | 346 | 0.8598 | 0.4300 | 0.8598 | 0.9273 |
225
+ | No log | 7.1020 | 348 | 0.8407 | 0.3819 | 0.8407 | 0.9169 |
226
+ | No log | 7.1429 | 350 | 0.8517 | 0.5098 | 0.8517 | 0.9229 |
227
+ | No log | 7.1837 | 352 | 0.8522 | 0.4973 | 0.8522 | 0.9232 |
228
+ | No log | 7.2245 | 354 | 0.8267 | 0.4745 | 0.8267 | 0.9093 |
229
+ | No log | 7.2653 | 356 | 0.8312 | 0.5107 | 0.8312 | 0.9117 |
230
+ | No log | 7.3061 | 358 | 0.8716 | 0.4829 | 0.8716 | 0.9336 |
231
+ | No log | 7.3469 | 360 | 0.9310 | 0.4002 | 0.9310 | 0.9649 |
232
+ | No log | 7.3878 | 362 | 0.8687 | 0.4471 | 0.8687 | 0.9320 |
233
+ | No log | 7.4286 | 364 | 0.8261 | 0.4371 | 0.8261 | 0.9089 |
234
+ | No log | 7.4694 | 366 | 0.8278 | 0.4234 | 0.8278 | 0.9098 |
235
+ | No log | 7.5102 | 368 | 0.9047 | 0.4068 | 0.9047 | 0.9511 |
236
+ | No log | 7.5510 | 370 | 1.0105 | 0.3984 | 1.0105 | 1.0052 |
237
+ | No log | 7.5918 | 372 | 0.9451 | 0.4094 | 0.9451 | 0.9721 |
238
+ | No log | 7.6327 | 374 | 0.8258 | 0.4097 | 0.8258 | 0.9087 |
239
+ | No log | 7.6735 | 376 | 0.8101 | 0.4259 | 0.8101 | 0.9000 |
240
+ | No log | 7.7143 | 378 | 0.8083 | 0.3996 | 0.8083 | 0.8991 |
241
+ | No log | 7.7551 | 380 | 0.8560 | 0.3902 | 0.8560 | 0.9252 |
242
+ | No log | 7.7959 | 382 | 0.8951 | 0.3503 | 0.8951 | 0.9461 |
243
+ | No log | 7.8367 | 384 | 0.8547 | 0.4456 | 0.8547 | 0.9245 |
244
+ | No log | 7.8776 | 386 | 0.8173 | 0.3446 | 0.8173 | 0.9040 |
245
+ | No log | 7.9184 | 388 | 0.8390 | 0.4057 | 0.8390 | 0.9160 |
246
+ | No log | 7.9592 | 390 | 0.8178 | 0.4148 | 0.8178 | 0.9043 |
247
+ | No log | 8.0 | 392 | 0.7929 | 0.3859 | 0.7929 | 0.8904 |
248
+ | No log | 8.0408 | 394 | 0.8816 | 0.4054 | 0.8816 | 0.9390 |
249
+ | No log | 8.0816 | 396 | 0.9614 | 0.4212 | 0.9614 | 0.9805 |
250
+ | No log | 8.1224 | 398 | 0.8961 | 0.4326 | 0.8961 | 0.9466 |
251
+ | No log | 8.1633 | 400 | 0.8035 | 0.4729 | 0.8035 | 0.8964 |
252
+ | No log | 8.2041 | 402 | 0.7906 | 0.3896 | 0.7906 | 0.8891 |
253
+ | No log | 8.2449 | 404 | 0.7969 | 0.3200 | 0.7969 | 0.8927 |
254
+ | No log | 8.2857 | 406 | 0.8109 | 0.4593 | 0.8109 | 0.9005 |
255
+ | No log | 8.3265 | 408 | 0.8820 | 0.4696 | 0.8820 | 0.9392 |
256
+ | No log | 8.3673 | 410 | 0.9457 | 0.4123 | 0.9457 | 0.9725 |
257
+ | No log | 8.4082 | 412 | 0.9266 | 0.4123 | 0.9266 | 0.9626 |
258
+ | No log | 8.4490 | 414 | 0.8515 | 0.4710 | 0.8515 | 0.9228 |
259
+ | No log | 8.4898 | 416 | 0.8261 | 0.5318 | 0.8261 | 0.9089 |
260
+ | No log | 8.5306 | 418 | 0.8253 | 0.5093 | 0.8253 | 0.9085 |
261
+ | No log | 8.5714 | 420 | 0.8353 | 0.5103 | 0.8353 | 0.9140 |
262
+ | No log | 8.6122 | 422 | 0.8892 | 0.4584 | 0.8892 | 0.9430 |
263
+ | No log | 8.6531 | 424 | 0.9428 | 0.4342 | 0.9428 | 0.9710 |
264
+ | No log | 8.6939 | 426 | 1.0127 | 0.4354 | 1.0127 | 1.0064 |
265
+ | No log | 8.7347 | 428 | 0.9207 | 0.4094 | 0.9207 | 0.9595 |
266
+ | No log | 8.7755 | 430 | 0.8519 | 0.3824 | 0.8519 | 0.9230 |
267
+ | No log | 8.8163 | 432 | 0.8512 | 0.3760 | 0.8512 | 0.9226 |
268
+ | No log | 8.8571 | 434 | 0.8674 | 0.3760 | 0.8674 | 0.9313 |
269
+ | No log | 8.8980 | 436 | 0.8561 | 0.3760 | 0.8561 | 0.9253 |
270
+ | No log | 8.9388 | 438 | 0.8202 | 0.4048 | 0.8202 | 0.9057 |
271
+ | No log | 8.9796 | 440 | 0.8157 | 0.4138 | 0.8157 | 0.9032 |
272
+ | No log | 9.0204 | 442 | 0.8047 | 0.4138 | 0.8047 | 0.8970 |
273
+ | No log | 9.0612 | 444 | 0.8030 | 0.4778 | 0.8030 | 0.8961 |
274
+ | No log | 9.1020 | 446 | 0.8044 | 0.4371 | 0.8044 | 0.8969 |
275
+ | No log | 9.1429 | 448 | 0.8091 | 0.4251 | 0.8091 | 0.8995 |
276
+ | No log | 9.1837 | 450 | 0.8200 | 0.4327 | 0.8200 | 0.9055 |
277
+ | No log | 9.2245 | 452 | 0.8702 | 0.4060 | 0.8702 | 0.9329 |
278
+ | No log | 9.2653 | 454 | 0.8887 | 0.4444 | 0.8887 | 0.9427 |
279
+ | No log | 9.3061 | 456 | 0.8397 | 0.4612 | 0.8397 | 0.9164 |
280
+ | No log | 9.3469 | 458 | 0.8254 | 0.4128 | 0.8254 | 0.9085 |
281
+ | No log | 9.3878 | 460 | 0.8255 | 0.4128 | 0.8255 | 0.9086 |
282
+ | No log | 9.4286 | 462 | 0.8255 | 0.4261 | 0.8255 | 0.9086 |
283
+ | No log | 9.4694 | 464 | 0.8357 | 0.4494 | 0.8357 | 0.9142 |
284
+ | No log | 9.5102 | 466 | 0.8740 | 0.4060 | 0.8740 | 0.9349 |
285
+ | No log | 9.5510 | 468 | 0.9333 | 0.3902 | 0.9333 | 0.9661 |
286
+ | No log | 9.5918 | 470 | 0.9252 | 0.3363 | 0.9252 | 0.9619 |
287
+ | No log | 9.6327 | 472 | 0.8785 | 0.3780 | 0.8785 | 0.9373 |
288
+ | No log | 9.6735 | 474 | 0.8451 | 0.3370 | 0.8451 | 0.9193 |
289
+ | No log | 9.7143 | 476 | 0.8530 | 0.2865 | 0.8530 | 0.9236 |
290
+ | No log | 9.7551 | 478 | 0.8498 | 0.2865 | 0.8498 | 0.9218 |
291
+ | No log | 9.7959 | 480 | 0.8426 | 0.3221 | 0.8426 | 0.9179 |
292
+ | No log | 9.8367 | 482 | 0.8659 | 0.3802 | 0.8659 | 0.9305 |
293
+ | No log | 9.8776 | 484 | 0.9183 | 0.3558 | 0.9183 | 0.9583 |
294
+ | No log | 9.9184 | 486 | 0.9567 | 0.4091 | 0.9567 | 0.9781 |
295
+ | No log | 9.9592 | 488 | 0.9147 | 0.3987 | 0.9147 | 0.9564 |
296
+ | No log | 10.0 | 490 | 0.8442 | 0.4873 | 0.8442 | 0.9188 |
297
+ | No log | 10.0408 | 492 | 0.8322 | 0.4511 | 0.8322 | 0.9123 |
298
+ | No log | 10.0816 | 494 | 0.8411 | 0.4745 | 0.8411 | 0.9171 |
299
+ | No log | 10.1224 | 496 | 0.8558 | 0.3958 | 0.8558 | 0.9251 |
300
+ | No log | 10.1633 | 498 | 0.8950 | 0.4102 | 0.8950 | 0.9460 |
301
+ | 0.2925 | 10.2041 | 500 | 0.9409 | 0.4917 | 0.9409 | 0.9700 |
302
+ | 0.2925 | 10.2449 | 502 | 0.9044 | 0.4450 | 0.9044 | 0.9510 |
303
+ | 0.2925 | 10.2857 | 504 | 0.8360 | 0.3821 | 0.8360 | 0.9143 |
304
+ | 0.2925 | 10.3265 | 506 | 0.7990 | 0.3576 | 0.7990 | 0.8939 |
305
+ | 0.2925 | 10.3673 | 508 | 0.7884 | 0.4219 | 0.7884 | 0.8879 |
306
+ | 0.2925 | 10.4082 | 510 | 0.7770 | 0.4661 | 0.7770 | 0.8815 |
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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