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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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_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: 0.7214
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+ - Qwk: 0.5538
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+ - Mse: 0.7214
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+ - Rmse: 0.8494
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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 | 0.0294 | 2 | 4.2730 | 0.0086 | 4.2730 | 2.0671 |
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+ | No log | 0.0588 | 4 | 2.3984 | 0.1002 | 2.3984 | 1.5487 |
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+ | No log | 0.0882 | 6 | 1.7139 | 0.0493 | 1.7139 | 1.3092 |
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+ | No log | 0.1176 | 8 | 1.1979 | 0.2001 | 1.1979 | 1.0945 |
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+ | No log | 0.1471 | 10 | 1.1977 | 0.1952 | 1.1977 | 1.0944 |
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+ | No log | 0.1765 | 12 | 1.9500 | 0.0491 | 1.9500 | 1.3964 |
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+ | No log | 0.2059 | 14 | 2.0430 | 0.1599 | 2.0430 | 1.4293 |
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+ | No log | 0.2353 | 16 | 1.2036 | 0.1354 | 1.2036 | 1.0971 |
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+ | No log | 0.2647 | 18 | 1.1109 | 0.2440 | 1.1109 | 1.0540 |
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+ | No log | 0.2941 | 20 | 1.0413 | 0.2969 | 1.0413 | 1.0204 |
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+ | No log | 0.3235 | 22 | 1.0871 | 0.3644 | 1.0871 | 1.0427 |
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+ | No log | 0.3529 | 24 | 1.0536 | 0.3705 | 1.0536 | 1.0265 |
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+ | No log | 0.3824 | 26 | 0.9785 | 0.4568 | 0.9785 | 0.9892 |
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+ | No log | 0.4118 | 28 | 0.9430 | 0.4681 | 0.9430 | 0.9711 |
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+ | No log | 0.4412 | 30 | 0.9352 | 0.5127 | 0.9352 | 0.9671 |
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+ | No log | 0.4706 | 32 | 0.9166 | 0.5534 | 0.9166 | 0.9574 |
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+ | No log | 0.5 | 34 | 0.9438 | 0.5963 | 0.9438 | 0.9715 |
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+ | No log | 0.5294 | 36 | 1.0117 | 0.5210 | 1.0117 | 1.0058 |
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+ | No log | 0.5588 | 38 | 0.8932 | 0.4777 | 0.8932 | 0.9451 |
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+ | No log | 0.5882 | 40 | 1.0846 | 0.3549 | 1.0846 | 1.0414 |
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+ | No log | 0.6176 | 42 | 1.1037 | 0.3682 | 1.1037 | 1.0506 |
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+ | No log | 0.6471 | 44 | 1.0152 | 0.3686 | 1.0152 | 1.0076 |
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+ | No log | 0.6765 | 46 | 0.8878 | 0.4626 | 0.8878 | 0.9422 |
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+ | No log | 0.7059 | 48 | 0.8614 | 0.4910 | 0.8614 | 0.9281 |
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+ | No log | 0.7353 | 50 | 0.8525 | 0.5611 | 0.8525 | 0.9233 |
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+ | No log | 0.7647 | 52 | 0.8114 | 0.5647 | 0.8114 | 0.9008 |
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+ | No log | 0.7941 | 54 | 0.7986 | 0.6006 | 0.7986 | 0.8937 |
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+ | No log | 0.8235 | 56 | 0.7772 | 0.5895 | 0.7772 | 0.8816 |
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+ | No log | 0.8529 | 58 | 0.7173 | 0.6275 | 0.7173 | 0.8469 |
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+ | No log | 0.8824 | 60 | 0.7115 | 0.5709 | 0.7115 | 0.8435 |
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+ | No log | 0.9118 | 62 | 0.8198 | 0.5383 | 0.8198 | 0.9055 |
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+ | No log | 0.9412 | 64 | 1.0225 | 0.4449 | 1.0225 | 1.0112 |
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+ | No log | 0.9706 | 66 | 0.8714 | 0.5192 | 0.8714 | 0.9335 |
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+ | No log | 1.0 | 68 | 0.7353 | 0.5699 | 0.7353 | 0.8575 |
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+ | No log | 1.0294 | 70 | 0.7171 | 0.5902 | 0.7171 | 0.8468 |
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+ | No log | 1.0588 | 72 | 0.7810 | 0.6021 | 0.7810 | 0.8837 |
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+ | No log | 1.0882 | 74 | 0.8179 | 0.6262 | 0.8179 | 0.9044 |
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+ | No log | 1.1176 | 76 | 0.8659 | 0.5993 | 0.8659 | 0.9305 |
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+ | No log | 1.1471 | 78 | 1.0140 | 0.5744 | 1.0140 | 1.0070 |
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+ | No log | 1.1765 | 80 | 0.8753 | 0.6024 | 0.8753 | 0.9356 |
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+ | No log | 1.2059 | 82 | 0.9341 | 0.6149 | 0.9341 | 0.9665 |
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+ | No log | 1.2353 | 84 | 0.8904 | 0.5760 | 0.8904 | 0.9436 |
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+ | No log | 1.2647 | 86 | 0.8396 | 0.6279 | 0.8396 | 0.9163 |
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+ | No log | 1.2941 | 88 | 0.8303 | 0.6014 | 0.8303 | 0.9112 |
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+ | No log | 1.3235 | 90 | 0.8279 | 0.6489 | 0.8279 | 0.9099 |
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+ | No log | 1.3529 | 92 | 0.7567 | 0.5621 | 0.7567 | 0.8699 |
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+ | No log | 1.3824 | 94 | 0.7935 | 0.5089 | 0.7935 | 0.8908 |
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+ | No log | 1.4118 | 96 | 0.7523 | 0.5255 | 0.7523 | 0.8674 |
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+ | No log | 1.4412 | 98 | 0.8427 | 0.6079 | 0.8427 | 0.9180 |
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+ | No log | 1.4706 | 100 | 0.9324 | 0.5534 | 0.9324 | 0.9656 |
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+ | No log | 1.5 | 102 | 0.7841 | 0.6583 | 0.7841 | 0.8855 |
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+ | No log | 1.5294 | 104 | 0.7589 | 0.5121 | 0.7589 | 0.8711 |
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+ | No log | 1.5588 | 106 | 0.8080 | 0.5187 | 0.8080 | 0.8989 |
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+ | No log | 1.5882 | 108 | 0.8005 | 0.5910 | 0.8005 | 0.8947 |
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+ | No log | 1.6176 | 110 | 0.8325 | 0.5910 | 0.8325 | 0.9124 |
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+ | No log | 1.6471 | 112 | 0.8688 | 0.6168 | 0.8688 | 0.9321 |
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+ | No log | 1.6765 | 114 | 0.9007 | 0.5699 | 0.9007 | 0.9491 |
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+ | No log | 1.7059 | 116 | 0.9313 | 0.5525 | 0.9313 | 0.9651 |
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+ | No log | 1.7353 | 118 | 0.8991 | 0.6274 | 0.8991 | 0.9482 |
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+ | No log | 1.7647 | 120 | 0.8622 | 0.5706 | 0.8622 | 0.9285 |
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+ | No log | 1.7941 | 122 | 0.8541 | 0.5115 | 0.8541 | 0.9242 |
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+ | No log | 1.8235 | 124 | 0.8595 | 0.4575 | 0.8595 | 0.9271 |
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+ | No log | 1.8529 | 126 | 0.8462 | 0.5431 | 0.8462 | 0.9199 |
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+ | No log | 1.8824 | 128 | 0.8500 | 0.4489 | 0.8500 | 0.9220 |
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+ | No log | 1.9118 | 130 | 0.8485 | 0.4961 | 0.8485 | 0.9211 |
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+ | No log | 1.9412 | 132 | 1.0201 | 0.4323 | 1.0201 | 1.0100 |
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+ | No log | 1.9706 | 134 | 0.9571 | 0.4689 | 0.9571 | 0.9783 |
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+ | No log | 2.0 | 136 | 0.8864 | 0.4878 | 0.8864 | 0.9415 |
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+ | No log | 2.0294 | 138 | 0.7805 | 0.6107 | 0.7805 | 0.8834 |
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+ | No log | 2.0588 | 140 | 0.9094 | 0.5636 | 0.9094 | 0.9536 |
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+ | No log | 2.0882 | 142 | 1.0143 | 0.4545 | 1.0143 | 1.0071 |
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+ | No log | 2.1176 | 144 | 0.8407 | 0.5892 | 0.8407 | 0.9169 |
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+ | No log | 2.1471 | 146 | 0.7992 | 0.6260 | 0.7992 | 0.8940 |
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+ | No log | 2.1765 | 148 | 0.9018 | 0.5339 | 0.9018 | 0.9496 |
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+ | No log | 2.2059 | 150 | 0.8918 | 0.4912 | 0.8918 | 0.9444 |
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+ | No log | 2.2353 | 152 | 0.8254 | 0.5027 | 0.8254 | 0.9085 |
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+ | No log | 2.2647 | 154 | 0.9096 | 0.4130 | 0.9096 | 0.9537 |
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+ | No log | 2.2941 | 156 | 0.8505 | 0.4934 | 0.8505 | 0.9222 |
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+ | No log | 2.3235 | 158 | 0.8094 | 0.5055 | 0.8094 | 0.8996 |
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+ | No log | 2.3529 | 160 | 0.8962 | 0.4613 | 0.8962 | 0.9467 |
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+ | No log | 2.3824 | 162 | 0.8210 | 0.4902 | 0.8210 | 0.9061 |
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+ | No log | 2.4118 | 164 | 0.7910 | 0.5327 | 0.7910 | 0.8894 |
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+ | No log | 2.4412 | 166 | 0.8331 | 0.5675 | 0.8331 | 0.9127 |
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+ | No log | 2.4706 | 168 | 1.0218 | 0.5329 | 1.0218 | 1.0108 |
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+ | No log | 2.5 | 170 | 0.8592 | 0.6046 | 0.8592 | 0.9269 |
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+ | No log | 2.5294 | 172 | 0.7707 | 0.5902 | 0.7707 | 0.8779 |
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+ | No log | 2.5588 | 174 | 0.9748 | 0.5495 | 0.9748 | 0.9873 |
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+ | No log | 2.5882 | 176 | 0.9230 | 0.5636 | 0.9230 | 0.9607 |
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+ | No log | 2.6176 | 178 | 0.7726 | 0.5462 | 0.7726 | 0.8790 |
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+ | No log | 2.6471 | 180 | 0.8444 | 0.4962 | 0.8444 | 0.9189 |
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+ | No log | 2.6765 | 182 | 0.9965 | 0.4909 | 0.9965 | 0.9983 |
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+ | No log | 2.7059 | 184 | 0.8935 | 0.5075 | 0.8935 | 0.9453 |
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+ | No log | 2.7353 | 186 | 0.7656 | 0.5931 | 0.7656 | 0.8750 |
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+ | No log | 2.7647 | 188 | 0.9214 | 0.5958 | 0.9214 | 0.9599 |
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+ | No log | 2.7941 | 190 | 0.9385 | 0.5932 | 0.9385 | 0.9688 |
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+ | No log | 2.8235 | 192 | 0.9247 | 0.5958 | 0.9247 | 0.9616 |
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+ | No log | 2.8529 | 194 | 0.7918 | 0.5152 | 0.7918 | 0.8898 |
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+ | No log | 2.8824 | 196 | 0.7826 | 0.4866 | 0.7826 | 0.8846 |
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+ | No log | 2.9118 | 198 | 0.7712 | 0.5807 | 0.7712 | 0.8782 |
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+ | No log | 2.9412 | 200 | 0.8091 | 0.6545 | 0.8091 | 0.8995 |
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+ | No log | 2.9706 | 202 | 0.9155 | 0.5992 | 0.9155 | 0.9568 |
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+ | No log | 3.0 | 204 | 0.8466 | 0.6888 | 0.8466 | 0.9201 |
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+ | No log | 3.0294 | 206 | 0.7243 | 0.5426 | 0.7243 | 0.8510 |
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+ | No log | 3.0588 | 208 | 0.7236 | 0.5684 | 0.7236 | 0.8506 |
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+ | No log | 3.0882 | 210 | 0.7441 | 0.5399 | 0.7441 | 0.8626 |
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+ | No log | 3.1176 | 212 | 0.7693 | 0.4763 | 0.7693 | 0.8771 |
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+ | No log | 3.1471 | 214 | 0.7425 | 0.6311 | 0.7425 | 0.8617 |
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+ | No log | 3.1765 | 216 | 0.8438 | 0.5683 | 0.8438 | 0.9186 |
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+ | No log | 3.2059 | 218 | 1.0061 | 0.5389 | 1.0061 | 1.0030 |
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+ | No log | 3.2353 | 220 | 0.9324 | 0.5393 | 0.9324 | 0.9656 |
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+ | No log | 3.2647 | 222 | 0.7587 | 0.6287 | 0.7587 | 0.8711 |
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+ | No log | 3.2941 | 224 | 0.7498 | 0.5437 | 0.7498 | 0.8659 |
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+ | No log | 3.3235 | 226 | 0.7485 | 0.5569 | 0.7485 | 0.8651 |
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+ | No log | 3.3529 | 228 | 0.7407 | 0.6005 | 0.7407 | 0.8607 |
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+ | No log | 3.3824 | 230 | 0.7579 | 0.6290 | 0.7579 | 0.8706 |
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+ | No log | 3.4118 | 232 | 0.7899 | 0.6258 | 0.7899 | 0.8887 |
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+ | No log | 3.4412 | 234 | 0.9281 | 0.5913 | 0.9281 | 0.9634 |
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+ | No log | 3.4706 | 236 | 0.9278 | 0.5766 | 0.9278 | 0.9632 |
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+ | No log | 3.5 | 238 | 0.8239 | 0.5981 | 0.8239 | 0.9077 |
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+ | No log | 3.5294 | 240 | 0.7720 | 0.4980 | 0.7720 | 0.8786 |
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+ | No log | 3.5588 | 242 | 0.8022 | 0.5483 | 0.8022 | 0.8957 |
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+ | No log | 3.5882 | 244 | 0.7893 | 0.5208 | 0.7893 | 0.8884 |
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+ | No log | 3.6176 | 246 | 0.8578 | 0.5779 | 0.8578 | 0.9262 |
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+ | No log | 3.6471 | 248 | 0.9232 | 0.5515 | 0.9232 | 0.9608 |
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+ | No log | 3.6765 | 250 | 0.8570 | 0.5194 | 0.8570 | 0.9257 |
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+ | No log | 3.7059 | 252 | 0.7862 | 0.5746 | 0.7862 | 0.8867 |
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+ | No log | 3.7353 | 254 | 0.7486 | 0.5915 | 0.7486 | 0.8652 |
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+ | No log | 3.7647 | 256 | 0.7399 | 0.5536 | 0.7399 | 0.8602 |
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+ | No log | 3.7941 | 258 | 0.7401 | 0.5868 | 0.7401 | 0.8603 |
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+ | No log | 3.8235 | 260 | 0.7397 | 0.5387 | 0.7397 | 0.8601 |
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+ | No log | 3.8529 | 262 | 0.7424 | 0.5854 | 0.7424 | 0.8616 |
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+ | No log | 3.8824 | 264 | 0.7432 | 0.5946 | 0.7432 | 0.8621 |
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+ | No log | 3.9118 | 266 | 0.7374 | 0.5902 | 0.7374 | 0.8587 |
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+ | No log | 3.9412 | 268 | 0.7319 | 0.5633 | 0.7319 | 0.8555 |
186
+ | No log | 3.9706 | 270 | 0.7177 | 0.5855 | 0.7177 | 0.8472 |
187
+ | No log | 4.0 | 272 | 0.7168 | 0.5794 | 0.7168 | 0.8467 |
188
+ | No log | 4.0294 | 274 | 0.7685 | 0.5678 | 0.7685 | 0.8766 |
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+ | No log | 4.0588 | 276 | 0.7213 | 0.5458 | 0.7213 | 0.8493 |
190
+ | No log | 4.0882 | 278 | 0.7483 | 0.6131 | 0.7483 | 0.8650 |
191
+ | No log | 4.1176 | 280 | 0.7964 | 0.5541 | 0.7964 | 0.8924 |
192
+ | No log | 4.1471 | 282 | 0.7203 | 0.6528 | 0.7203 | 0.8487 |
193
+ | No log | 4.1765 | 284 | 0.7116 | 0.5895 | 0.7116 | 0.8436 |
194
+ | No log | 4.2059 | 286 | 0.7989 | 0.5050 | 0.7989 | 0.8938 |
195
+ | No log | 4.2353 | 288 | 0.7312 | 0.5593 | 0.7312 | 0.8551 |
196
+ | No log | 4.2647 | 290 | 0.6792 | 0.6311 | 0.6792 | 0.8241 |
197
+ | No log | 4.2941 | 292 | 0.7163 | 0.6097 | 0.7163 | 0.8464 |
198
+ | No log | 4.3235 | 294 | 0.8063 | 0.5380 | 0.8063 | 0.8979 |
199
+ | No log | 4.3529 | 296 | 0.8074 | 0.4998 | 0.8074 | 0.8985 |
200
+ | No log | 4.3824 | 298 | 0.7678 | 0.5774 | 0.7678 | 0.8763 |
201
+ | No log | 4.4118 | 300 | 0.7631 | 0.5150 | 0.7631 | 0.8735 |
202
+ | No log | 4.4412 | 302 | 0.7851 | 0.4915 | 0.7851 | 0.8860 |
203
+ | No log | 4.4706 | 304 | 0.7214 | 0.5253 | 0.7214 | 0.8494 |
204
+ | No log | 4.5 | 306 | 0.7950 | 0.6305 | 0.7950 | 0.8916 |
205
+ | No log | 4.5294 | 308 | 0.9553 | 0.5818 | 0.9553 | 0.9774 |
206
+ | No log | 4.5588 | 310 | 0.9298 | 0.5938 | 0.9298 | 0.9643 |
207
+ | No log | 4.5882 | 312 | 0.7862 | 0.5922 | 0.7862 | 0.8867 |
208
+ | No log | 4.6176 | 314 | 0.7464 | 0.5451 | 0.7464 | 0.8640 |
209
+ | No log | 4.6471 | 316 | 0.8069 | 0.4598 | 0.8069 | 0.8983 |
210
+ | No log | 4.6765 | 318 | 0.8243 | 0.4606 | 0.8243 | 0.9079 |
211
+ | No log | 4.7059 | 320 | 0.7771 | 0.4872 | 0.7771 | 0.8815 |
212
+ | No log | 4.7353 | 322 | 0.7784 | 0.6011 | 0.7784 | 0.8823 |
213
+ | No log | 4.7647 | 324 | 0.8611 | 0.5892 | 0.8611 | 0.9279 |
214
+ | No log | 4.7941 | 326 | 0.8560 | 0.6026 | 0.8560 | 0.9252 |
215
+ | No log | 4.8235 | 328 | 0.7973 | 0.5884 | 0.7973 | 0.8929 |
216
+ | No log | 4.8529 | 330 | 0.8530 | 0.4225 | 0.8530 | 0.9236 |
217
+ | No log | 4.8824 | 332 | 1.0558 | 0.4136 | 1.0558 | 1.0275 |
218
+ | No log | 4.9118 | 334 | 1.0903 | 0.4019 | 1.0903 | 1.0442 |
219
+ | No log | 4.9412 | 336 | 0.9387 | 0.4532 | 0.9387 | 0.9689 |
220
+ | No log | 4.9706 | 338 | 0.8377 | 0.4555 | 0.8377 | 0.9153 |
221
+ | No log | 5.0 | 340 | 0.8419 | 0.5311 | 0.8419 | 0.9175 |
222
+ | No log | 5.0294 | 342 | 0.8844 | 0.5313 | 0.8844 | 0.9404 |
223
+ | No log | 5.0588 | 344 | 0.8525 | 0.5601 | 0.8525 | 0.9233 |
224
+ | No log | 5.0882 | 346 | 0.7672 | 0.5815 | 0.7672 | 0.8759 |
225
+ | No log | 5.1176 | 348 | 0.7608 | 0.5407 | 0.7608 | 0.8722 |
226
+ | No log | 5.1471 | 350 | 0.7707 | 0.6049 | 0.7707 | 0.8779 |
227
+ | No log | 5.1765 | 352 | 0.8124 | 0.6309 | 0.8124 | 0.9013 |
228
+ | No log | 5.2059 | 354 | 0.8227 | 0.6190 | 0.8227 | 0.9070 |
229
+ | No log | 5.2353 | 356 | 0.8126 | 0.5743 | 0.8126 | 0.9014 |
230
+ | No log | 5.2647 | 358 | 0.8342 | 0.5026 | 0.8342 | 0.9133 |
231
+ | No log | 5.2941 | 360 | 0.8490 | 0.5197 | 0.8490 | 0.9214 |
232
+ | No log | 5.3235 | 362 | 0.8471 | 0.5262 | 0.8471 | 0.9204 |
233
+ | No log | 5.3529 | 364 | 0.8255 | 0.5262 | 0.8255 | 0.9085 |
234
+ | No log | 5.3824 | 366 | 0.7842 | 0.5540 | 0.7842 | 0.8856 |
235
+ | No log | 5.4118 | 368 | 0.7597 | 0.6107 | 0.7597 | 0.8716 |
236
+ | No log | 5.4412 | 370 | 0.7605 | 0.6790 | 0.7605 | 0.8720 |
237
+ | No log | 5.4706 | 372 | 0.7384 | 0.6032 | 0.7384 | 0.8593 |
238
+ | No log | 5.5 | 374 | 0.7557 | 0.6220 | 0.7557 | 0.8693 |
239
+ | No log | 5.5294 | 376 | 0.7994 | 0.5596 | 0.7994 | 0.8941 |
240
+ | No log | 5.5588 | 378 | 0.8279 | 0.5248 | 0.8279 | 0.9099 |
241
+ | No log | 5.5882 | 380 | 0.8225 | 0.4280 | 0.8225 | 0.9069 |
242
+ | No log | 5.6176 | 382 | 0.8218 | 0.5163 | 0.8218 | 0.9065 |
243
+ | No log | 5.6471 | 384 | 0.8054 | 0.5163 | 0.8054 | 0.8974 |
244
+ | No log | 5.6765 | 386 | 0.7692 | 0.5028 | 0.7692 | 0.8770 |
245
+ | No log | 5.7059 | 388 | 0.7786 | 0.5791 | 0.7786 | 0.8824 |
246
+ | No log | 5.7353 | 390 | 0.7313 | 0.5815 | 0.7313 | 0.8552 |
247
+ | No log | 5.7647 | 392 | 0.6783 | 0.5835 | 0.6783 | 0.8236 |
248
+ | No log | 5.7941 | 394 | 0.7483 | 0.5482 | 0.7483 | 0.8650 |
249
+ | No log | 5.8235 | 396 | 0.7919 | 0.5275 | 0.7919 | 0.8899 |
250
+ | No log | 5.8529 | 398 | 0.7487 | 0.5551 | 0.7487 | 0.8653 |
251
+ | No log | 5.8824 | 400 | 0.6572 | 0.6280 | 0.6572 | 0.8107 |
252
+ | No log | 5.9118 | 402 | 0.7783 | 0.6269 | 0.7783 | 0.8822 |
253
+ | No log | 5.9412 | 404 | 0.9111 | 0.5488 | 0.9111 | 0.9545 |
254
+ | No log | 5.9706 | 406 | 0.8429 | 0.5553 | 0.8429 | 0.9181 |
255
+ | No log | 6.0 | 408 | 0.7547 | 0.5270 | 0.7547 | 0.8687 |
256
+ | No log | 6.0294 | 410 | 0.7467 | 0.5606 | 0.7467 | 0.8641 |
257
+ | No log | 6.0588 | 412 | 0.7560 | 0.5125 | 0.7560 | 0.8695 |
258
+ | No log | 6.0882 | 414 | 0.7453 | 0.5327 | 0.7453 | 0.8633 |
259
+ | No log | 6.1176 | 416 | 0.7298 | 0.6041 | 0.7298 | 0.8543 |
260
+ | No log | 6.1471 | 418 | 0.7544 | 0.5902 | 0.7544 | 0.8685 |
261
+ | No log | 6.1765 | 420 | 0.7866 | 0.6148 | 0.7866 | 0.8869 |
262
+ | No log | 6.2059 | 422 | 0.7648 | 0.5655 | 0.7648 | 0.8745 |
263
+ | No log | 6.2353 | 424 | 0.7857 | 0.5383 | 0.7857 | 0.8864 |
264
+ | No log | 6.2647 | 426 | 0.8158 | 0.5387 | 0.8158 | 0.9032 |
265
+ | No log | 6.2941 | 428 | 0.7813 | 0.5352 | 0.7813 | 0.8839 |
266
+ | No log | 6.3235 | 430 | 0.7937 | 0.5322 | 0.7937 | 0.8909 |
267
+ | No log | 6.3529 | 432 | 0.8789 | 0.5301 | 0.8789 | 0.9375 |
268
+ | No log | 6.3824 | 434 | 1.0456 | 0.4906 | 1.0456 | 1.0225 |
269
+ | No log | 6.4118 | 436 | 1.0569 | 0.4894 | 1.0569 | 1.0281 |
270
+ | No log | 6.4412 | 438 | 0.9433 | 0.4857 | 0.9433 | 0.9712 |
271
+ | No log | 6.4706 | 440 | 0.8083 | 0.5586 | 0.8083 | 0.8990 |
272
+ | No log | 6.5 | 442 | 0.7700 | 0.5547 | 0.7700 | 0.8775 |
273
+ | No log | 6.5294 | 444 | 0.7484 | 0.5501 | 0.7484 | 0.8651 |
274
+ | No log | 6.5588 | 446 | 0.7197 | 0.5835 | 0.7197 | 0.8483 |
275
+ | No log | 6.5882 | 448 | 0.7084 | 0.6088 | 0.7084 | 0.8416 |
276
+ | No log | 6.6176 | 450 | 0.7104 | 0.6215 | 0.7104 | 0.8429 |
277
+ | No log | 6.6471 | 452 | 0.7082 | 0.6215 | 0.7082 | 0.8415 |
278
+ | No log | 6.6765 | 454 | 0.6855 | 0.6324 | 0.6855 | 0.8280 |
279
+ | No log | 6.7059 | 456 | 0.6944 | 0.6190 | 0.6944 | 0.8333 |
280
+ | No log | 6.7353 | 458 | 0.7052 | 0.6283 | 0.7052 | 0.8397 |
281
+ | No log | 6.7647 | 460 | 0.7535 | 0.6208 | 0.7535 | 0.8680 |
282
+ | No log | 6.7941 | 462 | 0.7892 | 0.6208 | 0.7892 | 0.8884 |
283
+ | No log | 6.8235 | 464 | 0.7727 | 0.5936 | 0.7727 | 0.8790 |
284
+ | No log | 6.8529 | 466 | 0.7631 | 0.5785 | 0.7631 | 0.8736 |
285
+ | No log | 6.8824 | 468 | 0.7334 | 0.5059 | 0.7334 | 0.8564 |
286
+ | No log | 6.9118 | 470 | 0.7159 | 0.5059 | 0.7159 | 0.8461 |
287
+ | No log | 6.9412 | 472 | 0.6929 | 0.6097 | 0.6929 | 0.8324 |
288
+ | No log | 6.9706 | 474 | 0.6928 | 0.6163 | 0.6928 | 0.8323 |
289
+ | No log | 7.0 | 476 | 0.6819 | 0.6377 | 0.6819 | 0.8258 |
290
+ | No log | 7.0294 | 478 | 0.6790 | 0.6377 | 0.6790 | 0.8240 |
291
+ | No log | 7.0588 | 480 | 0.6701 | 0.6450 | 0.6701 | 0.8186 |
292
+ | No log | 7.0882 | 482 | 0.6813 | 0.6088 | 0.6813 | 0.8254 |
293
+ | No log | 7.1176 | 484 | 0.7703 | 0.5876 | 0.7703 | 0.8777 |
294
+ | No log | 7.1471 | 486 | 0.8101 | 0.5637 | 0.8101 | 0.9000 |
295
+ | No log | 7.1765 | 488 | 0.8075 | 0.5490 | 0.8075 | 0.8986 |
296
+ | No log | 7.2059 | 490 | 0.7309 | 0.5636 | 0.7309 | 0.8549 |
297
+ | No log | 7.2353 | 492 | 0.6960 | 0.5678 | 0.6960 | 0.8343 |
298
+ | No log | 7.2647 | 494 | 0.7001 | 0.5483 | 0.7001 | 0.8367 |
299
+ | No log | 7.2941 | 496 | 0.7020 | 0.5701 | 0.7020 | 0.8378 |
300
+ | No log | 7.3235 | 498 | 0.7053 | 0.6154 | 0.7053 | 0.8398 |
301
+ | 0.3011 | 7.3529 | 500 | 0.7026 | 0.6455 | 0.7026 | 0.8382 |
302
+ | 0.3011 | 7.3824 | 502 | 0.7025 | 0.5791 | 0.7025 | 0.8382 |
303
+ | 0.3011 | 7.4118 | 504 | 0.7139 | 0.5255 | 0.7139 | 0.8449 |
304
+ | 0.3011 | 7.4412 | 506 | 0.7208 | 0.5740 | 0.7208 | 0.8490 |
305
+ | 0.3011 | 7.4706 | 508 | 0.7271 | 0.5740 | 0.7271 | 0.8527 |
306
+ | 0.3011 | 7.5 | 510 | 0.7214 | 0.5538 | 0.7214 | 0.8494 |
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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