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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_run2_AugV5_k7_task1_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_run2_AugV5_k7_task1_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: 0.7311
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+ - Qwk: 0.6906
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+ - Mse: 0.7311
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+ - Rmse: 0.8551
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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 | 0.0571 | 2 | 6.8851 | 0.0242 | 6.8851 | 2.6239 |
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+ | No log | 0.1143 | 4 | 4.8048 | 0.0379 | 4.8048 | 2.1920 |
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+ | No log | 0.1714 | 6 | 3.2129 | 0.0485 | 3.2130 | 1.7925 |
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+ | No log | 0.2286 | 8 | 2.7123 | 0.0645 | 2.7123 | 1.6469 |
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+ | No log | 0.2857 | 10 | 1.9680 | 0.1463 | 1.9680 | 1.4029 |
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+ | No log | 0.3429 | 12 | 1.8515 | 0.2124 | 1.8515 | 1.3607 |
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+ | No log | 0.4 | 14 | 1.9963 | 0.3140 | 1.9963 | 1.4129 |
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+ | No log | 0.4571 | 16 | 1.7212 | 0.1982 | 1.7212 | 1.3120 |
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+ | No log | 0.5143 | 18 | 1.5145 | 0.1714 | 1.5145 | 1.2306 |
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+ | No log | 0.5714 | 20 | 1.4016 | 0.2075 | 1.4016 | 1.1839 |
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+ | No log | 0.6286 | 22 | 1.3484 | 0.2202 | 1.3484 | 1.1612 |
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+ | No log | 0.6857 | 24 | 1.3155 | 0.2545 | 1.3155 | 1.1470 |
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+ | No log | 0.7429 | 26 | 1.1900 | 0.3158 | 1.1900 | 1.0909 |
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+ | No log | 0.8 | 28 | 1.3409 | 0.5 | 1.3409 | 1.1580 |
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+ | No log | 0.8571 | 30 | 1.4399 | 0.5101 | 1.4399 | 1.2000 |
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+ | No log | 0.9143 | 32 | 1.3457 | 0.5430 | 1.3457 | 1.1600 |
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+ | No log | 0.9714 | 34 | 1.3986 | 0.5897 | 1.3986 | 1.1826 |
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+ | No log | 1.0286 | 36 | 1.1092 | 0.5906 | 1.1092 | 1.0532 |
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+ | No log | 1.0857 | 38 | 1.0125 | 0.5734 | 1.0125 | 1.0063 |
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+ | No log | 1.1429 | 40 | 1.0261 | 0.6 | 1.0261 | 1.0130 |
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+ | No log | 1.2 | 42 | 0.9894 | 0.5734 | 0.9894 | 0.9947 |
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+ | No log | 1.2571 | 44 | 1.1381 | 0.5695 | 1.1381 | 1.0668 |
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+ | No log | 1.3143 | 46 | 2.0474 | 0.4894 | 2.0474 | 1.4309 |
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+ | No log | 1.3714 | 48 | 2.3844 | 0.3878 | 2.3844 | 1.5441 |
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+ | No log | 1.4286 | 50 | 1.7852 | 0.4878 | 1.7852 | 1.3361 |
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+ | No log | 1.4857 | 52 | 1.0834 | 0.5532 | 1.0834 | 1.0409 |
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+ | No log | 1.5429 | 54 | 0.8875 | 0.5735 | 0.8875 | 0.9420 |
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+ | No log | 1.6 | 56 | 0.8497 | 0.6912 | 0.8497 | 0.9218 |
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+ | No log | 1.6571 | 58 | 0.8689 | 0.6567 | 0.8689 | 0.9322 |
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+ | No log | 1.7143 | 60 | 0.8956 | 0.6383 | 0.8956 | 0.9464 |
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+ | No log | 1.7714 | 62 | 1.0300 | 0.5931 | 1.0300 | 1.0149 |
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+ | No log | 1.8286 | 64 | 1.1525 | 0.5241 | 1.1525 | 1.0735 |
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+ | No log | 1.8857 | 66 | 1.1828 | 0.5278 | 1.1828 | 1.0876 |
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+ | No log | 1.9429 | 68 | 0.9948 | 0.5714 | 0.9948 | 0.9974 |
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+ | No log | 2.0 | 70 | 0.8621 | 0.6667 | 0.8621 | 0.9285 |
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+ | No log | 2.0571 | 72 | 0.8422 | 0.6716 | 0.8422 | 0.9177 |
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+ | No log | 2.1143 | 74 | 0.7799 | 0.7324 | 0.7799 | 0.8831 |
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+ | No log | 2.1714 | 76 | 0.7207 | 0.7871 | 0.7207 | 0.8490 |
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+ | No log | 2.2286 | 78 | 0.7332 | 0.7792 | 0.7332 | 0.8563 |
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+ | No log | 2.2857 | 80 | 0.7283 | 0.7871 | 0.7283 | 0.8534 |
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+ | No log | 2.3429 | 82 | 0.7233 | 0.7871 | 0.7233 | 0.8505 |
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+ | No log | 2.4 | 84 | 0.8328 | 0.7190 | 0.8328 | 0.9126 |
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+ | No log | 2.4571 | 86 | 1.5086 | 0.5549 | 1.5086 | 1.2283 |
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+ | No log | 2.5143 | 88 | 1.9790 | 0.4022 | 1.9790 | 1.4068 |
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+ | No log | 2.5714 | 90 | 1.3681 | 0.5696 | 1.3681 | 1.1696 |
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+ | No log | 2.6286 | 92 | 0.8527 | 0.7105 | 0.8527 | 0.9234 |
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+ | No log | 2.6857 | 94 | 1.0370 | 0.5850 | 1.0370 | 1.0183 |
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+ | No log | 2.7429 | 96 | 1.0680 | 0.5850 | 1.0680 | 1.0335 |
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+ | No log | 2.8 | 98 | 0.9545 | 0.6939 | 0.9545 | 0.9770 |
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+ | No log | 2.8571 | 100 | 0.8788 | 0.7027 | 0.8788 | 0.9374 |
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+ | No log | 2.9143 | 102 | 0.9937 | 0.5775 | 0.9937 | 0.9969 |
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+ | No log | 2.9714 | 104 | 1.1796 | 0.5333 | 1.1796 | 1.0861 |
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+ | No log | 3.0286 | 106 | 1.0769 | 0.5616 | 1.0769 | 1.0378 |
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+ | No log | 3.0857 | 108 | 0.9071 | 0.5985 | 0.9071 | 0.9524 |
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+ | No log | 3.1429 | 110 | 0.8766 | 0.6950 | 0.8766 | 0.9363 |
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+ | No log | 3.2 | 112 | 0.8452 | 0.6950 | 0.8452 | 0.9193 |
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+ | No log | 3.2571 | 114 | 0.7685 | 0.7183 | 0.7685 | 0.8767 |
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+ | No log | 3.3143 | 116 | 0.8827 | 0.6483 | 0.8827 | 0.9395 |
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+ | No log | 3.3714 | 118 | 0.9461 | 0.6013 | 0.9461 | 0.9727 |
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+ | No log | 3.4286 | 120 | 0.8117 | 0.7237 | 0.8117 | 0.9010 |
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+ | No log | 3.4857 | 122 | 0.7616 | 0.7383 | 0.7616 | 0.8727 |
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+ | No log | 3.5429 | 124 | 0.7627 | 0.7368 | 0.7627 | 0.8733 |
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+ | No log | 3.6 | 126 | 0.7506 | 0.7516 | 0.7506 | 0.8663 |
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+ | No log | 3.6571 | 128 | 0.7625 | 0.7561 | 0.7625 | 0.8732 |
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+ | No log | 3.7143 | 130 | 0.8226 | 0.6957 | 0.8226 | 0.9069 |
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+ | No log | 3.7714 | 132 | 0.8490 | 0.6962 | 0.8490 | 0.9214 |
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+ | No log | 3.8286 | 134 | 0.7871 | 0.7654 | 0.7871 | 0.8872 |
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+ | No log | 3.8857 | 136 | 0.8130 | 0.7901 | 0.8130 | 0.9017 |
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+ | No log | 3.9429 | 138 | 0.8340 | 0.7564 | 0.8340 | 0.9132 |
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+ | No log | 4.0 | 140 | 0.9243 | 0.6755 | 0.9243 | 0.9614 |
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+ | No log | 4.0571 | 142 | 0.9699 | 0.5217 | 0.9699 | 0.9848 |
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+ | No log | 4.1143 | 144 | 0.9120 | 0.6143 | 0.9120 | 0.9550 |
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+ | No log | 4.1714 | 146 | 0.9294 | 0.64 | 0.9294 | 0.9641 |
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+ | No log | 4.2286 | 148 | 0.9109 | 0.7097 | 0.9109 | 0.9544 |
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+ | No log | 4.2857 | 150 | 0.7515 | 0.7778 | 0.7515 | 0.8669 |
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+ | No log | 4.3429 | 152 | 0.7464 | 0.7067 | 0.7464 | 0.8639 |
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+ | No log | 4.4 | 154 | 0.7271 | 0.7389 | 0.7271 | 0.8527 |
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+ | No log | 4.4571 | 156 | 0.7190 | 0.7654 | 0.7190 | 0.8479 |
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+ | No log | 4.5143 | 158 | 1.0558 | 0.6265 | 1.0558 | 1.0275 |
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+ | No log | 4.5714 | 160 | 1.1935 | 0.6118 | 1.1935 | 1.0925 |
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+ | No log | 4.6286 | 162 | 0.8373 | 0.6982 | 0.8373 | 0.9150 |
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+ | No log | 4.6857 | 164 | 0.6561 | 0.8353 | 0.6561 | 0.8100 |
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+ | No log | 4.7429 | 166 | 0.7342 | 0.7578 | 0.7342 | 0.8568 |
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+ | No log | 4.8 | 168 | 0.7381 | 0.7320 | 0.7381 | 0.8591 |
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+ | No log | 4.8571 | 170 | 0.7219 | 0.7632 | 0.7219 | 0.8496 |
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+ | No log | 4.9143 | 172 | 0.7479 | 0.7467 | 0.7479 | 0.8648 |
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+ | No log | 4.9714 | 174 | 0.7195 | 0.7448 | 0.7195 | 0.8482 |
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+ | No log | 5.0286 | 176 | 0.7082 | 0.7534 | 0.7082 | 0.8416 |
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+ | No log | 5.0857 | 178 | 0.6961 | 0.7619 | 0.6961 | 0.8343 |
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+ | No log | 5.1429 | 180 | 0.6902 | 0.7651 | 0.6902 | 0.8308 |
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+ | No log | 5.2 | 182 | 0.6641 | 0.7815 | 0.6641 | 0.8149 |
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+ | No log | 5.2571 | 184 | 0.7075 | 0.7389 | 0.7075 | 0.8411 |
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+ | No log | 5.3143 | 186 | 0.7697 | 0.7273 | 0.7697 | 0.8773 |
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+ | No log | 5.3714 | 188 | 0.7127 | 0.7654 | 0.7127 | 0.8442 |
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+ | No log | 5.4286 | 190 | 0.6182 | 0.8187 | 0.6182 | 0.7863 |
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+ | No log | 5.4857 | 192 | 0.6230 | 0.8214 | 0.6230 | 0.7893 |
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+ | No log | 5.5429 | 194 | 0.6310 | 0.7975 | 0.6310 | 0.7944 |
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+ | No log | 5.6 | 196 | 0.7498 | 0.7831 | 0.7498 | 0.8659 |
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+ | No log | 5.6571 | 198 | 0.7689 | 0.7044 | 0.7689 | 0.8769 |
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+ | No log | 5.7143 | 200 | 0.6987 | 0.7632 | 0.6987 | 0.8359 |
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+ | No log | 5.7714 | 202 | 0.7334 | 0.7417 | 0.7334 | 0.8564 |
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+ | No log | 5.8286 | 204 | 0.7347 | 0.7397 | 0.7347 | 0.8571 |
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+ | No log | 5.8857 | 206 | 0.8450 | 0.6519 | 0.8450 | 0.9192 |
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+ | No log | 5.9429 | 208 | 0.8965 | 0.6260 | 0.8965 | 0.9468 |
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+ | No log | 6.0 | 210 | 0.9165 | 0.5397 | 0.9165 | 0.9573 |
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+ | No log | 6.0571 | 212 | 0.8566 | 0.6324 | 0.8566 | 0.9255 |
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+ | No log | 6.1143 | 214 | 0.8445 | 0.6087 | 0.8445 | 0.9190 |
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+ | No log | 6.1714 | 216 | 0.9311 | 0.6301 | 0.9311 | 0.9649 |
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+ | No log | 6.2286 | 218 | 0.8388 | 0.6928 | 0.8388 | 0.9158 |
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+ | No log | 6.2857 | 220 | 0.6522 | 0.7922 | 0.6522 | 0.8076 |
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+ | No log | 6.3429 | 222 | 0.6440 | 0.7895 | 0.6440 | 0.8025 |
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+ | No log | 6.4 | 224 | 0.6743 | 0.7742 | 0.6743 | 0.8211 |
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+ | No log | 6.4571 | 226 | 0.6588 | 0.7925 | 0.6588 | 0.8116 |
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+ | No log | 6.5143 | 228 | 0.6262 | 0.8302 | 0.6262 | 0.7913 |
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+ | No log | 6.5714 | 230 | 0.6476 | 0.8228 | 0.6476 | 0.8047 |
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+ | No log | 6.6286 | 232 | 0.6748 | 0.8025 | 0.6748 | 0.8215 |
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+ | No log | 6.6857 | 234 | 0.7067 | 0.7949 | 0.7067 | 0.8407 |
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+ | No log | 6.7429 | 236 | 0.7450 | 0.7682 | 0.7450 | 0.8631 |
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+ | No log | 6.8 | 238 | 0.7597 | 0.7682 | 0.7597 | 0.8716 |
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+ | No log | 6.8571 | 240 | 0.8393 | 0.6331 | 0.8393 | 0.9161 |
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+ | No log | 6.9143 | 242 | 0.8719 | 0.5985 | 0.8719 | 0.9337 |
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+ | No log | 6.9714 | 244 | 0.7674 | 0.6806 | 0.7674 | 0.8760 |
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+ | No log | 7.0286 | 246 | 0.7005 | 0.7448 | 0.7005 | 0.8370 |
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+ | No log | 7.0857 | 248 | 0.6882 | 0.7919 | 0.6882 | 0.8296 |
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+ | No log | 7.1429 | 250 | 0.7112 | 0.7785 | 0.7112 | 0.8433 |
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+ | No log | 7.2 | 252 | 0.6963 | 0.7785 | 0.6963 | 0.8344 |
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+ | No log | 7.2571 | 254 | 0.6886 | 0.7838 | 0.6886 | 0.8298 |
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+ | No log | 7.3143 | 256 | 0.7696 | 0.6806 | 0.7696 | 0.8772 |
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+ | No log | 7.3714 | 258 | 0.8050 | 0.6761 | 0.8050 | 0.8972 |
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+ | No log | 7.4286 | 260 | 0.7903 | 0.6993 | 0.7903 | 0.8890 |
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+ | No log | 7.4857 | 262 | 0.8568 | 0.6912 | 0.8568 | 0.9256 |
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+ | No log | 7.5429 | 264 | 0.9501 | 0.6357 | 0.9501 | 0.9747 |
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+ | No log | 7.6 | 266 | 0.8665 | 0.7448 | 0.8665 | 0.9309 |
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+ | No log | 7.6571 | 268 | 0.7294 | 0.7733 | 0.7294 | 0.8541 |
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+ | No log | 7.7143 | 270 | 0.6760 | 0.8105 | 0.6760 | 0.8222 |
187
+ | No log | 7.7714 | 272 | 0.6626 | 0.8105 | 0.6626 | 0.8140 |
188
+ | No log | 7.8286 | 274 | 0.6564 | 0.8026 | 0.6564 | 0.8102 |
189
+ | No log | 7.8857 | 276 | 0.6681 | 0.7947 | 0.6681 | 0.8174 |
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+ | No log | 7.9429 | 278 | 0.6682 | 0.8 | 0.6682 | 0.8174 |
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+ | No log | 8.0 | 280 | 0.7052 | 0.7451 | 0.7052 | 0.8398 |
192
+ | No log | 8.0571 | 282 | 0.6959 | 0.7922 | 0.6959 | 0.8342 |
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+ | No log | 8.1143 | 284 | 0.7184 | 0.7532 | 0.7184 | 0.8476 |
194
+ | No log | 8.1714 | 286 | 0.7189 | 0.7974 | 0.7189 | 0.8479 |
195
+ | No log | 8.2286 | 288 | 0.7756 | 0.7308 | 0.7756 | 0.8807 |
196
+ | No log | 8.2857 | 290 | 0.8742 | 0.6839 | 0.8742 | 0.9350 |
197
+ | No log | 8.3429 | 292 | 0.8595 | 0.6711 | 0.8595 | 0.9271 |
198
+ | No log | 8.4 | 294 | 0.8174 | 0.7397 | 0.8174 | 0.9041 |
199
+ | No log | 8.4571 | 296 | 0.8336 | 0.7123 | 0.8336 | 0.9130 |
200
+ | No log | 8.5143 | 298 | 0.8314 | 0.6803 | 0.8314 | 0.9118 |
201
+ | No log | 8.5714 | 300 | 0.7743 | 0.7703 | 0.7743 | 0.8799 |
202
+ | No log | 8.6286 | 302 | 0.8221 | 0.6447 | 0.8221 | 0.9067 |
203
+ | No log | 8.6857 | 304 | 0.8813 | 0.6581 | 0.8813 | 0.9388 |
204
+ | No log | 8.7429 | 306 | 0.7993 | 0.7179 | 0.7993 | 0.8940 |
205
+ | No log | 8.8 | 308 | 0.7414 | 0.7451 | 0.7414 | 0.8610 |
206
+ | No log | 8.8571 | 310 | 0.7459 | 0.7534 | 0.7459 | 0.8636 |
207
+ | No log | 8.9143 | 312 | 0.8067 | 0.6571 | 0.8067 | 0.8981 |
208
+ | No log | 8.9714 | 314 | 0.7999 | 0.6715 | 0.7999 | 0.8944 |
209
+ | No log | 9.0286 | 316 | 0.7551 | 0.6765 | 0.7551 | 0.8690 |
210
+ | No log | 9.0857 | 318 | 0.7242 | 0.7413 | 0.7242 | 0.8510 |
211
+ | No log | 9.1429 | 320 | 0.7120 | 0.7639 | 0.7120 | 0.8438 |
212
+ | No log | 9.2 | 322 | 0.7353 | 0.7034 | 0.7353 | 0.8575 |
213
+ | No log | 9.2571 | 324 | 0.7652 | 0.7152 | 0.7652 | 0.8748 |
214
+ | No log | 9.3143 | 326 | 0.8351 | 0.6753 | 0.8351 | 0.9139 |
215
+ | No log | 9.3714 | 328 | 0.8515 | 0.6753 | 0.8515 | 0.9228 |
216
+ | No log | 9.4286 | 330 | 0.8771 | 0.6753 | 0.8771 | 0.9366 |
217
+ | No log | 9.4857 | 332 | 0.7764 | 0.7483 | 0.7764 | 0.8811 |
218
+ | No log | 9.5429 | 334 | 0.7597 | 0.7586 | 0.7597 | 0.8716 |
219
+ | No log | 9.6 | 336 | 0.7534 | 0.7586 | 0.7534 | 0.8680 |
220
+ | No log | 9.6571 | 338 | 0.7503 | 0.7448 | 0.7503 | 0.8662 |
221
+ | No log | 9.7143 | 340 | 0.7746 | 0.7517 | 0.7746 | 0.8801 |
222
+ | No log | 9.7714 | 342 | 0.7709 | 0.7432 | 0.7709 | 0.8780 |
223
+ | No log | 9.8286 | 344 | 0.7296 | 0.7568 | 0.7296 | 0.8542 |
224
+ | No log | 9.8857 | 346 | 0.7063 | 0.7682 | 0.7063 | 0.8404 |
225
+ | No log | 9.9429 | 348 | 0.6938 | 0.7815 | 0.6938 | 0.8329 |
226
+ | No log | 10.0 | 350 | 0.7127 | 0.7755 | 0.7127 | 0.8442 |
227
+ | No log | 10.0571 | 352 | 0.7342 | 0.7534 | 0.7342 | 0.8569 |
228
+ | No log | 10.1143 | 354 | 0.7377 | 0.7143 | 0.7377 | 0.8589 |
229
+ | No log | 10.1714 | 356 | 0.7578 | 0.7042 | 0.7578 | 0.8705 |
230
+ | No log | 10.2286 | 358 | 0.7338 | 0.7361 | 0.7338 | 0.8566 |
231
+ | No log | 10.2857 | 360 | 0.7167 | 0.7273 | 0.7167 | 0.8466 |
232
+ | No log | 10.3429 | 362 | 0.7134 | 0.7586 | 0.7134 | 0.8446 |
233
+ | No log | 10.4 | 364 | 0.7014 | 0.7586 | 0.7014 | 0.8375 |
234
+ | No log | 10.4571 | 366 | 0.7127 | 0.7586 | 0.7127 | 0.8442 |
235
+ | No log | 10.5143 | 368 | 0.7798 | 0.6950 | 0.7798 | 0.8831 |
236
+ | No log | 10.5714 | 370 | 0.8022 | 0.6950 | 0.8022 | 0.8956 |
237
+ | No log | 10.6286 | 372 | 0.8121 | 0.6906 | 0.8121 | 0.9012 |
238
+ | No log | 10.6857 | 374 | 0.8591 | 0.7007 | 0.8591 | 0.9269 |
239
+ | No log | 10.7429 | 376 | 0.9200 | 0.7050 | 0.9200 | 0.9592 |
240
+ | No log | 10.8 | 378 | 0.8566 | 0.7133 | 0.8566 | 0.9255 |
241
+ | No log | 10.8571 | 380 | 0.7735 | 0.7432 | 0.7735 | 0.8795 |
242
+ | No log | 10.9143 | 382 | 0.7910 | 0.7133 | 0.7910 | 0.8894 |
243
+ | No log | 10.9714 | 384 | 0.7705 | 0.7651 | 0.7705 | 0.8778 |
244
+ | No log | 11.0286 | 386 | 0.8495 | 0.6405 | 0.8495 | 0.9217 |
245
+ | No log | 11.0857 | 388 | 0.9327 | 0.6174 | 0.9327 | 0.9658 |
246
+ | No log | 11.1429 | 390 | 0.8963 | 0.6571 | 0.8963 | 0.9467 |
247
+ | No log | 11.2 | 392 | 0.8294 | 0.6963 | 0.8294 | 0.9107 |
248
+ | No log | 11.2571 | 394 | 0.8547 | 0.6364 | 0.8547 | 0.9245 |
249
+ | No log | 11.3143 | 396 | 0.8562 | 0.6364 | 0.8562 | 0.9253 |
250
+ | No log | 11.3714 | 398 | 0.7998 | 0.7259 | 0.7998 | 0.8943 |
251
+ | No log | 11.4286 | 400 | 0.8036 | 0.7153 | 0.8036 | 0.8964 |
252
+ | No log | 11.4857 | 402 | 0.8062 | 0.7101 | 0.8062 | 0.8979 |
253
+ | No log | 11.5429 | 404 | 0.7471 | 0.7246 | 0.7471 | 0.8643 |
254
+ | No log | 11.6 | 406 | 0.7037 | 0.7755 | 0.7037 | 0.8389 |
255
+ | No log | 11.6571 | 408 | 0.6913 | 0.7755 | 0.6913 | 0.8315 |
256
+ | No log | 11.7143 | 410 | 0.7047 | 0.7671 | 0.7047 | 0.8395 |
257
+ | No log | 11.7714 | 412 | 0.7100 | 0.7586 | 0.7100 | 0.8426 |
258
+ | No log | 11.8286 | 414 | 0.7299 | 0.7568 | 0.7299 | 0.8544 |
259
+ | No log | 11.8857 | 416 | 0.7403 | 0.7397 | 0.7403 | 0.8604 |
260
+ | No log | 11.9429 | 418 | 0.7197 | 0.7383 | 0.7197 | 0.8484 |
261
+ | No log | 12.0 | 420 | 0.6545 | 0.7838 | 0.6545 | 0.8090 |
262
+ | No log | 12.0571 | 422 | 0.6243 | 0.7947 | 0.6243 | 0.7901 |
263
+ | No log | 12.1143 | 424 | 0.6285 | 0.7975 | 0.6285 | 0.7928 |
264
+ | No log | 12.1714 | 426 | 0.6523 | 0.7771 | 0.6523 | 0.8077 |
265
+ | No log | 12.2286 | 428 | 0.6695 | 0.7362 | 0.6695 | 0.8182 |
266
+ | No log | 12.2857 | 430 | 0.6528 | 0.7838 | 0.6528 | 0.8080 |
267
+ | No log | 12.3429 | 432 | 0.6663 | 0.7534 | 0.6663 | 0.8163 |
268
+ | No log | 12.4 | 434 | 0.7426 | 0.7310 | 0.7426 | 0.8617 |
269
+ | No log | 12.4571 | 436 | 0.7707 | 0.7050 | 0.7707 | 0.8779 |
270
+ | No log | 12.5143 | 438 | 0.7651 | 0.7015 | 0.7651 | 0.8747 |
271
+ | No log | 12.5714 | 440 | 0.8144 | 0.6094 | 0.8144 | 0.9024 |
272
+ | No log | 12.6286 | 442 | 0.8916 | 0.528 | 0.8916 | 0.9443 |
273
+ | No log | 12.6857 | 444 | 0.8839 | 0.528 | 0.8839 | 0.9401 |
274
+ | No log | 12.7429 | 446 | 0.8087 | 0.6565 | 0.8087 | 0.8993 |
275
+ | No log | 12.8 | 448 | 0.7542 | 0.7015 | 0.7542 | 0.8684 |
276
+ | No log | 12.8571 | 450 | 0.7080 | 0.7194 | 0.7080 | 0.8414 |
277
+ | No log | 12.9143 | 452 | 0.6776 | 0.7586 | 0.6776 | 0.8231 |
278
+ | No log | 12.9714 | 454 | 0.6858 | 0.7483 | 0.6858 | 0.8281 |
279
+ | No log | 13.0286 | 456 | 0.6915 | 0.7703 | 0.6915 | 0.8315 |
280
+ | No log | 13.0857 | 458 | 0.7487 | 0.6906 | 0.7487 | 0.8653 |
281
+ | No log | 13.1429 | 460 | 0.7790 | 0.6906 | 0.7790 | 0.8826 |
282
+ | No log | 13.2 | 462 | 0.7450 | 0.7059 | 0.7450 | 0.8631 |
283
+ | No log | 13.2571 | 464 | 0.7423 | 0.6815 | 0.7423 | 0.8616 |
284
+ | No log | 13.3143 | 466 | 0.7846 | 0.6767 | 0.7846 | 0.8858 |
285
+ | No log | 13.3714 | 468 | 0.8270 | 0.6515 | 0.8270 | 0.9094 |
286
+ | No log | 13.4286 | 470 | 0.8015 | 0.6866 | 0.8015 | 0.8953 |
287
+ | No log | 13.4857 | 472 | 0.7804 | 0.6963 | 0.7804 | 0.8834 |
288
+ | No log | 13.5429 | 474 | 0.7334 | 0.7007 | 0.7334 | 0.8564 |
289
+ | No log | 13.6 | 476 | 0.7361 | 0.7297 | 0.7361 | 0.8579 |
290
+ | No log | 13.6571 | 478 | 0.7702 | 0.7152 | 0.7702 | 0.8776 |
291
+ | No log | 13.7143 | 480 | 0.7648 | 0.7162 | 0.7648 | 0.8746 |
292
+ | No log | 13.7714 | 482 | 0.7214 | 0.7273 | 0.7214 | 0.8493 |
293
+ | No log | 13.8286 | 484 | 0.7521 | 0.6950 | 0.7521 | 0.8672 |
294
+ | No log | 13.8857 | 486 | 0.8567 | 0.6621 | 0.8567 | 0.9256 |
295
+ | No log | 13.9429 | 488 | 0.8795 | 0.6577 | 0.8795 | 0.9378 |
296
+ | No log | 14.0 | 490 | 0.7782 | 0.6849 | 0.7782 | 0.8822 |
297
+ | No log | 14.0571 | 492 | 0.7139 | 0.7083 | 0.7139 | 0.8449 |
298
+ | No log | 14.1143 | 494 | 0.7581 | 0.72 | 0.7581 | 0.8707 |
299
+ | No log | 14.1714 | 496 | 0.8083 | 0.72 | 0.8083 | 0.8991 |
300
+ | No log | 14.2286 | 498 | 0.7670 | 0.7417 | 0.7670 | 0.8758 |
301
+ | 0.3806 | 14.2857 | 500 | 0.7089 | 0.7361 | 0.7089 | 0.8420 |
302
+ | 0.3806 | 14.3429 | 502 | 0.7669 | 0.7027 | 0.7669 | 0.8757 |
303
+ | 0.3806 | 14.4 | 504 | 0.8413 | 0.6944 | 0.8413 | 0.9172 |
304
+ | 0.3806 | 14.4571 | 506 | 0.8336 | 0.6950 | 0.8336 | 0.9130 |
305
+ | 0.3806 | 14.5143 | 508 | 0.7794 | 0.6950 | 0.7794 | 0.8828 |
306
+ | 0.3806 | 14.5714 | 510 | 0.7311 | 0.6906 | 0.7311 | 0.8551 |
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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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 64000
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+ }
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