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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_run3_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_run3_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: 0.9523
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+ - Qwk: 0.6043
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+ - Mse: 0.9523
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+ - Rmse: 0.9759
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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 | 7.0993 | -0.0056 | 7.0993 | 2.6644 |
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+ | No log | 0.1143 | 4 | 5.2614 | 0.0362 | 5.2614 | 2.2938 |
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+ | No log | 0.1714 | 6 | 3.5447 | -0.0423 | 3.5447 | 1.8827 |
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+ | No log | 0.2286 | 8 | 3.6238 | -0.0100 | 3.6238 | 1.9036 |
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+ | No log | 0.2857 | 10 | 2.7882 | 0.1625 | 2.7882 | 1.6698 |
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+ | No log | 0.3429 | 12 | 1.9883 | 0.2462 | 1.9883 | 1.4101 |
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+ | No log | 0.4 | 14 | 1.8469 | 0.2478 | 1.8469 | 1.3590 |
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+ | No log | 0.4571 | 16 | 1.7495 | 0.2759 | 1.7495 | 1.3227 |
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+ | No log | 0.5143 | 18 | 1.6807 | 0.3651 | 1.6807 | 1.2964 |
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+ | No log | 0.5714 | 20 | 1.9964 | 0.3034 | 1.9964 | 1.4129 |
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+ | No log | 0.6286 | 22 | 2.2027 | 0.2625 | 2.2027 | 1.4842 |
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+ | No log | 0.6857 | 24 | 2.4953 | 0.1916 | 2.4953 | 1.5796 |
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+ | No log | 0.7429 | 26 | 2.1299 | 0.2763 | 2.1299 | 1.4594 |
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+ | No log | 0.8 | 28 | 1.6431 | 0.3594 | 1.6431 | 1.2818 |
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+ | No log | 0.8571 | 30 | 1.4710 | 0.2500 | 1.4710 | 1.2128 |
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+ | No log | 0.9143 | 32 | 1.4715 | 0.2202 | 1.4715 | 1.2130 |
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+ | No log | 0.9714 | 34 | 1.3923 | 0.3103 | 1.3923 | 1.1799 |
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+ | No log | 1.0286 | 36 | 1.4267 | 0.384 | 1.4267 | 1.1944 |
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+ | No log | 1.0857 | 38 | 2.0177 | 0.3165 | 2.0177 | 1.4204 |
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+ | No log | 1.1429 | 40 | 3.1015 | 0.2453 | 3.1015 | 1.7611 |
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+ | No log | 1.2 | 42 | 3.2738 | 0.2544 | 3.2738 | 1.8094 |
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+ | No log | 1.2571 | 44 | 2.2594 | 0.3665 | 2.2594 | 1.5031 |
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+ | No log | 1.3143 | 46 | 1.5243 | 0.4539 | 1.5243 | 1.2346 |
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+ | No log | 1.3714 | 48 | 1.5059 | 0.2609 | 1.5059 | 1.2271 |
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+ | No log | 1.4286 | 50 | 1.5589 | 0.2655 | 1.5589 | 1.2486 |
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+ | No log | 1.4857 | 52 | 1.5953 | 0.2906 | 1.5953 | 1.2631 |
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+ | No log | 1.5429 | 54 | 1.6127 | 0.3361 | 1.6127 | 1.2699 |
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+ | No log | 1.6 | 56 | 1.6055 | 0.3871 | 1.6055 | 1.2671 |
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+ | No log | 1.6571 | 58 | 1.5505 | 0.3471 | 1.5505 | 1.2452 |
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+ | No log | 1.7143 | 60 | 1.6798 | 0.4062 | 1.6798 | 1.2961 |
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+ | No log | 1.7714 | 62 | 1.7815 | 0.3188 | 1.7815 | 1.3347 |
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+ | No log | 1.8286 | 64 | 1.8716 | 0.3143 | 1.8716 | 1.3681 |
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+ | No log | 1.8857 | 66 | 1.7725 | 0.3623 | 1.7725 | 1.3313 |
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+ | No log | 1.9429 | 68 | 1.4398 | 0.4427 | 1.4398 | 1.1999 |
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+ | No log | 2.0 | 70 | 1.1940 | 0.4480 | 1.1940 | 1.0927 |
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+ | No log | 2.0571 | 72 | 1.1283 | 0.5039 | 1.1283 | 1.0622 |
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+ | No log | 2.1143 | 74 | 1.0815 | 0.5469 | 1.0815 | 1.0399 |
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+ | No log | 2.1714 | 76 | 1.2431 | 0.5113 | 1.2431 | 1.1149 |
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+ | No log | 2.2286 | 78 | 1.7490 | 0.4268 | 1.7490 | 1.3225 |
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+ | No log | 2.2857 | 80 | 1.5125 | 0.5263 | 1.5125 | 1.2298 |
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+ | No log | 2.3429 | 82 | 1.0425 | 0.5455 | 1.0425 | 1.0210 |
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+ | No log | 2.4 | 84 | 1.0986 | 0.5909 | 1.0986 | 1.0481 |
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+ | No log | 2.4571 | 86 | 1.0935 | 0.6222 | 1.0935 | 1.0457 |
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+ | No log | 2.5143 | 88 | 0.9381 | 0.6667 | 0.9381 | 0.9685 |
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+ | No log | 2.5714 | 90 | 0.9375 | 0.6277 | 0.9375 | 0.9682 |
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+ | No log | 2.6286 | 92 | 0.9942 | 0.6490 | 0.9942 | 0.9971 |
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+ | No log | 2.6857 | 94 | 0.9768 | 0.6014 | 0.9768 | 0.9883 |
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+ | No log | 2.7429 | 96 | 1.1362 | 0.5676 | 1.1362 | 1.0659 |
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+ | No log | 2.8 | 98 | 1.2239 | 0.5479 | 1.2239 | 1.1063 |
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+ | No log | 2.8571 | 100 | 1.0591 | 0.5797 | 1.0591 | 1.0291 |
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+ | No log | 2.9143 | 102 | 0.8571 | 0.6471 | 0.8571 | 0.9258 |
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+ | No log | 2.9714 | 104 | 0.8981 | 0.7007 | 0.8981 | 0.9477 |
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+ | No log | 3.0286 | 106 | 0.9026 | 0.6812 | 0.9026 | 0.9500 |
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+ | No log | 3.0857 | 108 | 0.8683 | 0.6423 | 0.8683 | 0.9318 |
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+ | No log | 3.1429 | 110 | 0.8590 | 0.6901 | 0.8590 | 0.9268 |
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+ | No log | 3.2 | 112 | 0.8667 | 0.6667 | 0.8667 | 0.9309 |
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+ | No log | 3.2571 | 114 | 0.9446 | 0.6861 | 0.9446 | 0.9719 |
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+ | No log | 3.3143 | 116 | 1.1112 | 0.6176 | 1.1112 | 1.0541 |
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+ | No log | 3.3714 | 118 | 1.0373 | 0.6316 | 1.0373 | 1.0185 |
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+ | No log | 3.4286 | 120 | 0.9146 | 0.6667 | 0.9146 | 0.9563 |
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+ | No log | 3.4857 | 122 | 1.1080 | 0.6040 | 1.1080 | 1.0526 |
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+ | No log | 3.5429 | 124 | 1.1766 | 0.5935 | 1.1766 | 1.0847 |
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+ | No log | 3.6 | 126 | 0.8922 | 0.6475 | 0.8922 | 0.9446 |
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+ | No log | 3.6571 | 128 | 0.8695 | 0.6667 | 0.8695 | 0.9325 |
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+ | No log | 3.7143 | 130 | 0.8626 | 0.6993 | 0.8626 | 0.9287 |
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+ | No log | 3.7714 | 132 | 0.8540 | 0.6571 | 0.8540 | 0.9241 |
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+ | No log | 3.8286 | 134 | 0.8581 | 0.6806 | 0.8581 | 0.9263 |
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+ | No log | 3.8857 | 136 | 0.9124 | 0.7092 | 0.9124 | 0.9552 |
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+ | No log | 3.9429 | 138 | 0.9642 | 0.6619 | 0.9642 | 0.9819 |
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+ | No log | 4.0 | 140 | 0.8403 | 0.7183 | 0.8403 | 0.9167 |
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+ | No log | 4.0571 | 142 | 0.8026 | 0.6571 | 0.8026 | 0.8959 |
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+ | No log | 4.1143 | 144 | 1.0600 | 0.6375 | 1.0600 | 1.0295 |
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+ | No log | 4.1714 | 146 | 1.1732 | 0.6076 | 1.1732 | 1.0831 |
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+ | No log | 4.2286 | 148 | 0.9097 | 0.6074 | 0.9097 | 0.9538 |
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+ | No log | 4.2857 | 150 | 0.8542 | 0.6667 | 0.8542 | 0.9243 |
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+ | No log | 4.3429 | 152 | 1.0010 | 0.6571 | 1.0010 | 1.0005 |
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+ | No log | 4.4 | 154 | 0.9875 | 0.6324 | 0.9875 | 0.9937 |
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+ | No log | 4.4571 | 156 | 0.9326 | 0.6475 | 0.9326 | 0.9657 |
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+ | No log | 4.5143 | 158 | 0.9248 | 0.6475 | 0.9248 | 0.9617 |
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+ | No log | 4.5714 | 160 | 0.8946 | 0.6232 | 0.8946 | 0.9458 |
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+ | No log | 4.6286 | 162 | 0.8986 | 0.6667 | 0.8986 | 0.9480 |
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+ | No log | 4.6857 | 164 | 0.9487 | 0.6528 | 0.9487 | 0.9740 |
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+ | No log | 4.7429 | 166 | 0.9590 | 0.6479 | 0.9590 | 0.9793 |
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+ | No log | 4.8 | 168 | 0.8844 | 0.6962 | 0.8844 | 0.9404 |
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+ | No log | 4.8571 | 170 | 0.8800 | 0.6839 | 0.8800 | 0.9381 |
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+ | No log | 4.9143 | 172 | 0.8598 | 0.6711 | 0.8598 | 0.9273 |
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+ | No log | 4.9714 | 174 | 0.8512 | 0.6753 | 0.8512 | 0.9226 |
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+ | No log | 5.0286 | 176 | 0.8602 | 0.6803 | 0.8602 | 0.9274 |
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+ | No log | 5.0857 | 178 | 0.8691 | 0.6667 | 0.8691 | 0.9322 |
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+ | No log | 5.1429 | 180 | 0.8644 | 0.7050 | 0.8644 | 0.9297 |
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+ | No log | 5.2 | 182 | 0.9021 | 0.5882 | 0.9021 | 0.9498 |
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+ | No log | 5.2571 | 184 | 0.9252 | 0.6216 | 0.9252 | 0.9619 |
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+ | No log | 5.3143 | 186 | 0.8703 | 0.6486 | 0.8703 | 0.9329 |
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+ | No log | 5.3714 | 188 | 0.7836 | 0.7123 | 0.7836 | 0.8852 |
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+ | No log | 5.4286 | 190 | 0.8002 | 0.7114 | 0.8002 | 0.8945 |
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+ | No log | 5.4857 | 192 | 0.7256 | 0.7355 | 0.7256 | 0.8518 |
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+ | No log | 5.5429 | 194 | 0.7463 | 0.7170 | 0.7463 | 0.8639 |
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+ | No log | 5.6 | 196 | 0.7554 | 0.7394 | 0.7554 | 0.8692 |
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+ | No log | 5.6571 | 198 | 0.6966 | 0.7673 | 0.6966 | 0.8346 |
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+ | No log | 5.7143 | 200 | 0.7968 | 0.7059 | 0.7968 | 0.8926 |
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+ | No log | 5.7714 | 202 | 0.8101 | 0.6933 | 0.8101 | 0.9001 |
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+ | No log | 5.8286 | 204 | 0.7277 | 0.7552 | 0.7277 | 0.8530 |
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+ | No log | 5.8857 | 206 | 0.7228 | 0.7682 | 0.7228 | 0.8502 |
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+ | No log | 5.9429 | 208 | 0.7845 | 0.7089 | 0.7845 | 0.8857 |
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+ | No log | 6.0 | 210 | 0.7521 | 0.7436 | 0.7521 | 0.8672 |
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+ | No log | 6.0571 | 212 | 0.7583 | 0.7383 | 0.7583 | 0.8708 |
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+ | No log | 6.1143 | 214 | 0.7699 | 0.7383 | 0.7699 | 0.8775 |
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+ | No log | 6.1714 | 216 | 0.7705 | 0.7436 | 0.7705 | 0.8778 |
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+ | No log | 6.2286 | 218 | 0.7837 | 0.725 | 0.7837 | 0.8852 |
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+ | No log | 6.2857 | 220 | 0.8295 | 0.7075 | 0.8295 | 0.9108 |
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+ | No log | 6.3429 | 222 | 0.8237 | 0.7152 | 0.8237 | 0.9076 |
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+ | No log | 6.4 | 224 | 0.8431 | 0.6667 | 0.8431 | 0.9182 |
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+ | No log | 6.4571 | 226 | 0.8852 | 0.6579 | 0.8852 | 0.9409 |
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+ | No log | 6.5143 | 228 | 0.9031 | 0.6241 | 0.9031 | 0.9503 |
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+ | No log | 6.5714 | 230 | 0.8983 | 0.6620 | 0.8983 | 0.9478 |
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+ | No log | 6.6286 | 232 | 0.9139 | 0.6620 | 0.9139 | 0.9560 |
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+ | No log | 6.6857 | 234 | 1.0185 | 0.5874 | 1.0185 | 1.0092 |
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+ | No log | 6.7429 | 236 | 1.0715 | 0.5972 | 1.0715 | 1.0351 |
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+ | No log | 6.8 | 238 | 0.9497 | 0.6143 | 0.9497 | 0.9745 |
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+ | No log | 6.8571 | 240 | 0.8882 | 0.6849 | 0.8882 | 0.9425 |
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+ | No log | 6.9143 | 242 | 0.8669 | 0.6853 | 0.8669 | 0.9311 |
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+ | No log | 6.9714 | 244 | 0.8431 | 0.6622 | 0.8431 | 0.9182 |
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+ | No log | 7.0286 | 246 | 0.8257 | 0.6879 | 0.8257 | 0.9087 |
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+ | No log | 7.0857 | 248 | 0.8038 | 0.72 | 0.8038 | 0.8966 |
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+ | No log | 7.1429 | 250 | 0.7928 | 0.7368 | 0.7928 | 0.8904 |
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+ | No log | 7.2 | 252 | 0.8192 | 0.7006 | 0.8192 | 0.9051 |
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+ | No log | 7.2571 | 254 | 0.8435 | 0.6667 | 0.8435 | 0.9184 |
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+ | No log | 7.3143 | 256 | 0.8378 | 0.6309 | 0.8378 | 0.9153 |
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+ | No log | 7.3714 | 258 | 0.8125 | 0.7042 | 0.8125 | 0.9014 |
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+ | No log | 7.4286 | 260 | 0.8029 | 0.7042 | 0.8029 | 0.8961 |
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+ | No log | 7.4857 | 262 | 0.7717 | 0.7083 | 0.7717 | 0.8784 |
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+ | No log | 7.5429 | 264 | 0.7484 | 0.7632 | 0.7484 | 0.8651 |
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+ | No log | 7.6 | 266 | 0.7146 | 0.7595 | 0.7146 | 0.8453 |
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+ | No log | 7.6571 | 268 | 0.7363 | 0.7356 | 0.7363 | 0.8581 |
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+ | No log | 7.7143 | 270 | 0.7630 | 0.7399 | 0.7630 | 0.8735 |
187
+ | No log | 7.7714 | 272 | 0.7124 | 0.7929 | 0.7124 | 0.8440 |
188
+ | No log | 7.8286 | 274 | 0.7430 | 0.7898 | 0.7430 | 0.8620 |
189
+ | No log | 7.8857 | 276 | 0.8026 | 0.7320 | 0.8026 | 0.8959 |
190
+ | No log | 7.9429 | 278 | 0.7384 | 0.7383 | 0.7384 | 0.8593 |
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+ | No log | 8.0 | 280 | 0.7938 | 0.6479 | 0.7938 | 0.8910 |
192
+ | No log | 8.0571 | 282 | 0.7942 | 0.6479 | 0.7942 | 0.8912 |
193
+ | No log | 8.1143 | 284 | 0.7255 | 0.6980 | 0.7255 | 0.8517 |
194
+ | No log | 8.1714 | 286 | 0.6988 | 0.7898 | 0.6988 | 0.8359 |
195
+ | No log | 8.2286 | 288 | 0.7011 | 0.7826 | 0.7011 | 0.8373 |
196
+ | No log | 8.2857 | 290 | 0.6982 | 0.775 | 0.6982 | 0.8356 |
197
+ | No log | 8.3429 | 292 | 0.7225 | 0.7848 | 0.7225 | 0.8500 |
198
+ | No log | 8.4 | 294 | 0.7804 | 0.7383 | 0.7804 | 0.8834 |
199
+ | No log | 8.4571 | 296 | 0.8522 | 0.6622 | 0.8522 | 0.9231 |
200
+ | No log | 8.5143 | 298 | 0.8948 | 0.6712 | 0.8948 | 0.9459 |
201
+ | No log | 8.5714 | 300 | 0.8515 | 0.7133 | 0.8515 | 0.9228 |
202
+ | No log | 8.6286 | 302 | 0.8547 | 0.6475 | 0.8547 | 0.9245 |
203
+ | No log | 8.6857 | 304 | 0.8874 | 0.6957 | 0.8874 | 0.9420 |
204
+ | No log | 8.7429 | 306 | 0.8352 | 0.7273 | 0.8352 | 0.9139 |
205
+ | No log | 8.8 | 308 | 0.8054 | 0.7735 | 0.8054 | 0.8975 |
206
+ | No log | 8.8571 | 310 | 0.8288 | 0.7090 | 0.8288 | 0.9104 |
207
+ | No log | 8.9143 | 312 | 0.7995 | 0.7602 | 0.7995 | 0.8941 |
208
+ | No log | 8.9714 | 314 | 0.8061 | 0.7574 | 0.8061 | 0.8978 |
209
+ | No log | 9.0286 | 316 | 0.9070 | 0.6826 | 0.9070 | 0.9524 |
210
+ | No log | 9.0857 | 318 | 0.9521 | 0.6410 | 0.9521 | 0.9757 |
211
+ | No log | 9.1429 | 320 | 0.8902 | 0.6383 | 0.8902 | 0.9435 |
212
+ | No log | 9.2 | 322 | 0.8265 | 0.6232 | 0.8265 | 0.9091 |
213
+ | No log | 9.2571 | 324 | 0.8009 | 0.6667 | 0.8009 | 0.8950 |
214
+ | No log | 9.3143 | 326 | 0.7652 | 0.7 | 0.7652 | 0.8748 |
215
+ | No log | 9.3714 | 328 | 0.7418 | 0.7042 | 0.7418 | 0.8613 |
216
+ | No log | 9.4286 | 330 | 0.7098 | 0.7248 | 0.7098 | 0.8425 |
217
+ | No log | 9.4857 | 332 | 0.6426 | 0.7799 | 0.6426 | 0.8017 |
218
+ | No log | 9.5429 | 334 | 0.6620 | 0.7925 | 0.6620 | 0.8136 |
219
+ | No log | 9.6 | 336 | 0.6626 | 0.8050 | 0.6626 | 0.8140 |
220
+ | No log | 9.6571 | 338 | 0.6383 | 0.8050 | 0.6383 | 0.7989 |
221
+ | No log | 9.7143 | 340 | 0.6843 | 0.7578 | 0.6843 | 0.8272 |
222
+ | No log | 9.7714 | 342 | 0.6622 | 0.7799 | 0.6622 | 0.8137 |
223
+ | No log | 9.8286 | 344 | 0.6474 | 0.7871 | 0.6474 | 0.8046 |
224
+ | No log | 9.8857 | 346 | 0.6516 | 0.7785 | 0.6516 | 0.8072 |
225
+ | No log | 9.9429 | 348 | 0.6713 | 0.7838 | 0.6713 | 0.8193 |
226
+ | No log | 10.0 | 350 | 0.6732 | 0.7671 | 0.6732 | 0.8205 |
227
+ | No log | 10.0571 | 352 | 0.6973 | 0.7123 | 0.6973 | 0.8351 |
228
+ | No log | 10.1143 | 354 | 0.6947 | 0.7105 | 0.6947 | 0.8335 |
229
+ | No log | 10.1714 | 356 | 0.6605 | 0.7651 | 0.6605 | 0.8127 |
230
+ | No log | 10.2286 | 358 | 0.6582 | 0.7867 | 0.6582 | 0.8113 |
231
+ | No log | 10.2857 | 360 | 0.6537 | 0.7867 | 0.6537 | 0.8085 |
232
+ | No log | 10.3429 | 362 | 0.6364 | 0.7843 | 0.6364 | 0.7977 |
233
+ | No log | 10.4 | 364 | 0.6766 | 0.7468 | 0.6766 | 0.8225 |
234
+ | No log | 10.4571 | 366 | 0.7483 | 0.7355 | 0.7483 | 0.8650 |
235
+ | No log | 10.5143 | 368 | 0.6806 | 0.7625 | 0.6806 | 0.8250 |
236
+ | No log | 10.5714 | 370 | 0.6919 | 0.7778 | 0.6919 | 0.8318 |
237
+ | No log | 10.6286 | 372 | 0.7043 | 0.7826 | 0.7043 | 0.8392 |
238
+ | No log | 10.6857 | 374 | 0.7096 | 0.7711 | 0.7096 | 0.8424 |
239
+ | No log | 10.7429 | 376 | 0.7991 | 0.7205 | 0.7991 | 0.8939 |
240
+ | No log | 10.8 | 378 | 0.8006 | 0.7006 | 0.8006 | 0.8948 |
241
+ | No log | 10.8571 | 380 | 0.7717 | 0.6857 | 0.7717 | 0.8784 |
242
+ | No log | 10.9143 | 382 | 0.7848 | 0.7183 | 0.7848 | 0.8859 |
243
+ | No log | 10.9714 | 384 | 0.7704 | 0.7347 | 0.7704 | 0.8777 |
244
+ | No log | 11.0286 | 386 | 0.7746 | 0.7123 | 0.7746 | 0.8801 |
245
+ | No log | 11.0857 | 388 | 0.7816 | 0.7347 | 0.7816 | 0.8841 |
246
+ | No log | 11.1429 | 390 | 0.7431 | 0.7123 | 0.7431 | 0.8621 |
247
+ | No log | 11.2 | 392 | 0.7259 | 0.7417 | 0.7259 | 0.8520 |
248
+ | No log | 11.2571 | 394 | 0.7162 | 0.7547 | 0.7162 | 0.8463 |
249
+ | No log | 11.3143 | 396 | 0.7198 | 0.7436 | 0.7198 | 0.8484 |
250
+ | No log | 11.3714 | 398 | 0.7046 | 0.7778 | 0.7046 | 0.8394 |
251
+ | No log | 11.4286 | 400 | 0.7165 | 0.7730 | 0.7165 | 0.8465 |
252
+ | No log | 11.4857 | 402 | 0.7625 | 0.7375 | 0.7625 | 0.8732 |
253
+ | No log | 11.5429 | 404 | 0.7411 | 0.7662 | 0.7411 | 0.8609 |
254
+ | No log | 11.6 | 406 | 0.7481 | 0.7114 | 0.7481 | 0.8649 |
255
+ | No log | 11.6571 | 408 | 0.7637 | 0.7114 | 0.7637 | 0.8739 |
256
+ | No log | 11.7143 | 410 | 0.7613 | 0.7383 | 0.7613 | 0.8725 |
257
+ | No log | 11.7714 | 412 | 0.8008 | 0.7075 | 0.8008 | 0.8949 |
258
+ | No log | 11.8286 | 414 | 0.7971 | 0.6713 | 0.7971 | 0.8928 |
259
+ | No log | 11.8857 | 416 | 0.8358 | 0.7 | 0.8358 | 0.9142 |
260
+ | No log | 11.9429 | 418 | 0.9182 | 0.6479 | 0.9182 | 0.9582 |
261
+ | No log | 12.0 | 420 | 0.8810 | 0.6861 | 0.8810 | 0.9386 |
262
+ | No log | 12.0571 | 422 | 0.8685 | 0.6522 | 0.8685 | 0.9319 |
263
+ | No log | 12.1143 | 424 | 0.8848 | 0.6176 | 0.8848 | 0.9406 |
264
+ | No log | 12.1714 | 426 | 0.8756 | 0.6370 | 0.8756 | 0.9357 |
265
+ | No log | 12.2286 | 428 | 0.8699 | 0.6957 | 0.8699 | 0.9327 |
266
+ | No log | 12.2857 | 430 | 0.8547 | 0.6857 | 0.8547 | 0.9245 |
267
+ | No log | 12.3429 | 432 | 0.8306 | 0.6986 | 0.8306 | 0.9113 |
268
+ | No log | 12.4 | 434 | 0.8056 | 0.6849 | 0.8056 | 0.8976 |
269
+ | No log | 12.4571 | 436 | 0.9236 | 0.6345 | 0.9236 | 0.9610 |
270
+ | No log | 12.5143 | 438 | 1.0641 | 0.6267 | 1.0641 | 1.0316 |
271
+ | No log | 12.5714 | 440 | 0.9641 | 0.6483 | 0.9641 | 0.9819 |
272
+ | No log | 12.6286 | 442 | 0.7906 | 0.6522 | 0.7906 | 0.8891 |
273
+ | No log | 12.6857 | 444 | 0.7842 | 0.6667 | 0.7842 | 0.8856 |
274
+ | No log | 12.7429 | 446 | 0.8229 | 0.6471 | 0.8229 | 0.9071 |
275
+ | No log | 12.8 | 448 | 0.8733 | 0.6176 | 0.8733 | 0.9345 |
276
+ | No log | 12.8571 | 450 | 0.9674 | 0.6301 | 0.9674 | 0.9835 |
277
+ | No log | 12.9143 | 452 | 0.9353 | 0.6301 | 0.9353 | 0.9671 |
278
+ | No log | 12.9714 | 454 | 0.7932 | 0.6345 | 0.7932 | 0.8906 |
279
+ | No log | 13.0286 | 456 | 0.7176 | 0.7582 | 0.7176 | 0.8471 |
280
+ | No log | 13.0857 | 458 | 0.7469 | 0.75 | 0.7469 | 0.8643 |
281
+ | No log | 13.1429 | 460 | 0.7947 | 0.7162 | 0.7947 | 0.8914 |
282
+ | No log | 13.2 | 462 | 0.8289 | 0.7162 | 0.8289 | 0.9104 |
283
+ | No log | 13.2571 | 464 | 0.8701 | 0.6849 | 0.8701 | 0.9328 |
284
+ | No log | 13.3143 | 466 | 0.9259 | 0.6803 | 0.9259 | 0.9623 |
285
+ | No log | 13.3714 | 468 | 0.8819 | 0.6849 | 0.8819 | 0.9391 |
286
+ | No log | 13.4286 | 470 | 0.8201 | 0.7397 | 0.8201 | 0.9056 |
287
+ | No log | 13.4857 | 472 | 0.8005 | 0.6993 | 0.8005 | 0.8947 |
288
+ | No log | 13.5429 | 474 | 0.7750 | 0.7075 | 0.7750 | 0.8803 |
289
+ | No log | 13.6 | 476 | 0.7701 | 0.6897 | 0.7701 | 0.8775 |
290
+ | No log | 13.6571 | 478 | 0.7539 | 0.7248 | 0.7539 | 0.8683 |
291
+ | No log | 13.7143 | 480 | 0.7588 | 0.7516 | 0.7588 | 0.8711 |
292
+ | No log | 13.7714 | 482 | 0.8045 | 0.7403 | 0.8045 | 0.8970 |
293
+ | No log | 13.8286 | 484 | 0.8470 | 0.7123 | 0.8470 | 0.9203 |
294
+ | No log | 13.8857 | 486 | 0.8627 | 0.6944 | 0.8627 | 0.9288 |
295
+ | No log | 13.9429 | 488 | 0.8891 | 0.6993 | 0.8891 | 0.9429 |
296
+ | No log | 14.0 | 490 | 0.9061 | 0.6331 | 0.9061 | 0.9519 |
297
+ | No log | 14.0571 | 492 | 0.8732 | 0.6901 | 0.8732 | 0.9344 |
298
+ | No log | 14.1143 | 494 | 0.8268 | 0.6939 | 0.8268 | 0.9093 |
299
+ | No log | 14.1714 | 496 | 0.8078 | 0.6803 | 0.8078 | 0.8988 |
300
+ | No log | 14.2286 | 498 | 0.7981 | 0.7097 | 0.7981 | 0.8933 |
301
+ | 0.4295 | 14.2857 | 500 | 0.7809 | 0.7355 | 0.7809 | 0.8837 |
302
+ | 0.4295 | 14.3429 | 502 | 0.7875 | 0.7226 | 0.7875 | 0.8874 |
303
+ | 0.4295 | 14.4 | 504 | 0.8084 | 0.6887 | 0.8084 | 0.8991 |
304
+ | 0.4295 | 14.4571 | 506 | 0.8234 | 0.7027 | 0.8234 | 0.9074 |
305
+ | 0.4295 | 14.5143 | 508 | 0.9168 | 0.6286 | 0.9168 | 0.9575 |
306
+ | 0.4295 | 14.5714 | 510 | 0.9523 | 0.6043 | 0.9523 | 0.9759 |
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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