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  1. README.md +318 -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: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_mechanics
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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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+ # Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_mechanics
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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: 0.6094
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+ - Qwk: 0.5646
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+ - Mse: 0.6094
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+ - Rmse: 0.7806
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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 | 0.0194 | 2 | 4.2525 | -0.0139 | 4.2525 | 2.0621 |
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+ | No log | 0.0388 | 4 | 2.3872 | 0.0327 | 2.3872 | 1.5451 |
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+ | No log | 0.0583 | 6 | 1.2721 | 0.0033 | 1.2721 | 1.1279 |
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+ | No log | 0.0777 | 8 | 0.8541 | 0.0835 | 0.8541 | 0.9242 |
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+ | No log | 0.0971 | 10 | 0.7555 | 0.2089 | 0.7555 | 0.8692 |
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+ | No log | 0.1165 | 12 | 0.7707 | 0.2106 | 0.7707 | 0.8779 |
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+ | No log | 0.1359 | 14 | 0.9472 | 0.0818 | 0.9472 | 0.9732 |
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+ | No log | 0.1553 | 16 | 0.8553 | 0.1654 | 0.8553 | 0.9248 |
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+ | No log | 0.1748 | 18 | 0.6460 | 0.3304 | 0.6460 | 0.8038 |
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+ | No log | 0.1942 | 20 | 1.0433 | 0.1755 | 1.0433 | 1.0214 |
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+ | No log | 0.2136 | 22 | 1.1332 | 0.1176 | 1.1332 | 1.0645 |
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+ | No log | 0.2330 | 24 | 0.8071 | 0.2599 | 0.8071 | 0.8984 |
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+ | No log | 0.2524 | 26 | 0.6354 | 0.3605 | 0.6354 | 0.7971 |
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+ | No log | 0.2718 | 28 | 0.6136 | 0.2978 | 0.6136 | 0.7833 |
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+ | No log | 0.2913 | 30 | 0.5818 | 0.3311 | 0.5818 | 0.7628 |
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+ | No log | 0.3107 | 32 | 0.5778 | 0.3574 | 0.5778 | 0.7601 |
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+ | No log | 0.3301 | 34 | 0.6523 | 0.3694 | 0.6523 | 0.8077 |
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+ | No log | 0.3495 | 36 | 0.7375 | 0.3488 | 0.7375 | 0.8588 |
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+ | No log | 0.3689 | 38 | 0.7014 | 0.3631 | 0.7014 | 0.8375 |
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+ | No log | 0.3883 | 40 | 0.5815 | 0.4179 | 0.5815 | 0.7626 |
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+ | No log | 0.4078 | 42 | 0.5401 | 0.4473 | 0.5401 | 0.7349 |
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+ | No log | 0.4272 | 44 | 0.5602 | 0.4443 | 0.5602 | 0.7485 |
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+ | No log | 0.4466 | 46 | 0.5628 | 0.3571 | 0.5628 | 0.7502 |
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+ | No log | 0.4660 | 48 | 0.5219 | 0.4735 | 0.5219 | 0.7224 |
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+ | No log | 0.4854 | 50 | 0.5453 | 0.5375 | 0.5453 | 0.7384 |
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+ | No log | 0.5049 | 52 | 0.7426 | 0.4346 | 0.7426 | 0.8618 |
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+ | No log | 0.5243 | 54 | 0.8191 | 0.4074 | 0.8191 | 0.9050 |
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+ | No log | 0.5437 | 56 | 0.7050 | 0.4320 | 0.7050 | 0.8396 |
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+ | No log | 0.5631 | 58 | 0.5587 | 0.5187 | 0.5587 | 0.7475 |
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+ | No log | 0.5825 | 60 | 0.4918 | 0.4812 | 0.4918 | 0.7013 |
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+ | No log | 0.6019 | 62 | 0.6113 | 0.2805 | 0.6113 | 0.7818 |
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+ | No log | 0.6214 | 64 | 0.6609 | 0.2244 | 0.6609 | 0.8129 |
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+ | No log | 0.6408 | 66 | 0.6605 | 0.2509 | 0.6605 | 0.8127 |
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+ | No log | 0.6602 | 68 | 0.6463 | 0.2223 | 0.6463 | 0.8039 |
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+ | No log | 0.6796 | 70 | 0.6559 | 0.2360 | 0.6559 | 0.8099 |
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+ | No log | 0.6990 | 72 | 0.6623 | 0.2547 | 0.6623 | 0.8138 |
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+ | No log | 0.7184 | 74 | 0.6145 | 0.3350 | 0.6145 | 0.7839 |
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+ | No log | 0.7379 | 76 | 0.5681 | 0.4088 | 0.5681 | 0.7537 |
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+ | No log | 0.7573 | 78 | 0.6130 | 0.3894 | 0.6130 | 0.7829 |
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+ | No log | 0.7767 | 80 | 0.6727 | 0.3460 | 0.6727 | 0.8202 |
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+ | No log | 0.7961 | 82 | 0.6223 | 0.3694 | 0.6223 | 0.7889 |
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+ | No log | 0.8155 | 84 | 0.5937 | 0.4129 | 0.5937 | 0.7705 |
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+ | No log | 0.8350 | 86 | 0.5397 | 0.4367 | 0.5397 | 0.7346 |
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+ | No log | 0.8544 | 88 | 0.5527 | 0.4544 | 0.5527 | 0.7435 |
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+ | No log | 0.8738 | 90 | 0.6461 | 0.4229 | 0.6461 | 0.8038 |
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+ | No log | 0.8932 | 92 | 0.6917 | 0.4602 | 0.6917 | 0.8317 |
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+ | No log | 0.9126 | 94 | 0.6081 | 0.4440 | 0.6081 | 0.7798 |
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+ | No log | 0.9320 | 96 | 0.4825 | 0.5820 | 0.4825 | 0.6946 |
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+ | No log | 0.9515 | 98 | 0.5107 | 0.5534 | 0.5107 | 0.7146 |
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+ | No log | 0.9709 | 100 | 0.4973 | 0.5869 | 0.4973 | 0.7052 |
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+ | No log | 0.9903 | 102 | 0.5108 | 0.5525 | 0.5108 | 0.7147 |
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+ | No log | 1.0097 | 104 | 0.5262 | 0.5741 | 0.5262 | 0.7254 |
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+ | No log | 1.0291 | 106 | 0.5966 | 0.5273 | 0.5966 | 0.7724 |
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+ | No log | 1.0485 | 108 | 0.6250 | 0.5077 | 0.6250 | 0.7905 |
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+ | No log | 1.0680 | 110 | 0.6002 | 0.5296 | 0.6002 | 0.7747 |
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+ | No log | 1.0874 | 112 | 0.6358 | 0.4987 | 0.6358 | 0.7974 |
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+ | No log | 1.1068 | 114 | 0.5974 | 0.5105 | 0.5974 | 0.7729 |
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+ | No log | 1.1262 | 116 | 0.5770 | 0.5415 | 0.5770 | 0.7596 |
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+ | No log | 1.1456 | 118 | 0.5854 | 0.5385 | 0.5854 | 0.7651 |
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+ | No log | 1.1650 | 120 | 0.5931 | 0.5460 | 0.5931 | 0.7701 |
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+ | No log | 1.1845 | 122 | 0.5379 | 0.5617 | 0.5379 | 0.7334 |
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+ | No log | 1.2039 | 124 | 0.4832 | 0.5512 | 0.4832 | 0.6951 |
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+ | No log | 1.2233 | 126 | 0.4809 | 0.5503 | 0.4809 | 0.6935 |
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+ | No log | 1.2427 | 128 | 0.4820 | 0.5724 | 0.4820 | 0.6943 |
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+ | No log | 1.2621 | 130 | 0.4581 | 0.5423 | 0.4581 | 0.6768 |
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+ | No log | 1.2816 | 132 | 0.4706 | 0.6083 | 0.4706 | 0.6860 |
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+ | No log | 1.3010 | 134 | 0.5381 | 0.5920 | 0.5381 | 0.7335 |
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+ | No log | 1.3204 | 136 | 0.6493 | 0.5041 | 0.6493 | 0.8058 |
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+ | No log | 1.3398 | 138 | 0.7216 | 0.4040 | 0.7216 | 0.8495 |
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+ | No log | 1.3592 | 140 | 0.7310 | 0.2962 | 0.7310 | 0.8550 |
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+ | No log | 1.3786 | 142 | 0.6616 | 0.3363 | 0.6616 | 0.8134 |
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+ | No log | 1.3981 | 144 | 0.5552 | 0.5248 | 0.5552 | 0.7451 |
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+ | No log | 1.4175 | 146 | 0.5021 | 0.5767 | 0.5021 | 0.7086 |
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+ | No log | 1.4369 | 148 | 0.4966 | 0.5836 | 0.4966 | 0.7047 |
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+ | No log | 1.4563 | 150 | 0.5866 | 0.5524 | 0.5866 | 0.7659 |
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+ | No log | 1.4757 | 152 | 0.6704 | 0.5176 | 0.6704 | 0.8188 |
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+ | No log | 1.4951 | 154 | 0.6141 | 0.5427 | 0.6141 | 0.7836 |
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+ | No log | 1.5146 | 156 | 0.5205 | 0.5816 | 0.5205 | 0.7215 |
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+ | No log | 1.5340 | 158 | 0.5364 | 0.5209 | 0.5364 | 0.7324 |
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+ | No log | 1.5534 | 160 | 0.5937 | 0.5229 | 0.5937 | 0.7705 |
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+ | No log | 1.5728 | 162 | 0.5823 | 0.5214 | 0.5823 | 0.7631 |
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+ | No log | 1.5922 | 164 | 0.5534 | 0.5437 | 0.5534 | 0.7439 |
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+ | No log | 1.6117 | 166 | 0.5393 | 0.5563 | 0.5393 | 0.7344 |
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+ | No log | 1.6311 | 168 | 0.5079 | 0.5449 | 0.5079 | 0.7126 |
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+ | No log | 1.6505 | 170 | 0.5207 | 0.5317 | 0.5207 | 0.7216 |
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+ | No log | 1.6699 | 172 | 0.5226 | 0.5224 | 0.5226 | 0.7229 |
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+ | No log | 1.6893 | 174 | 0.4880 | 0.4944 | 0.4880 | 0.6985 |
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+ | No log | 1.7087 | 176 | 0.4910 | 0.4792 | 0.4910 | 0.7007 |
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+ | No log | 1.7282 | 178 | 0.5097 | 0.4552 | 0.5097 | 0.7139 |
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+ | No log | 1.7476 | 180 | 0.5065 | 0.4323 | 0.5065 | 0.7117 |
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+ | No log | 1.7670 | 182 | 0.5153 | 0.4325 | 0.5153 | 0.7178 |
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+ | No log | 1.7864 | 184 | 0.5317 | 0.4170 | 0.5317 | 0.7292 |
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+ | No log | 1.8058 | 186 | 0.5433 | 0.4675 | 0.5433 | 0.7371 |
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+ | No log | 1.8252 | 188 | 0.5522 | 0.4925 | 0.5522 | 0.7431 |
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+ | No log | 1.8447 | 190 | 0.5242 | 0.5139 | 0.5242 | 0.7240 |
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+ | No log | 1.8641 | 192 | 0.4887 | 0.5560 | 0.4887 | 0.6991 |
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+ | No log | 1.8835 | 194 | 0.4886 | 0.5513 | 0.4886 | 0.6990 |
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+ | No log | 1.9029 | 196 | 0.5096 | 0.5352 | 0.5096 | 0.7138 |
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+ | No log | 1.9223 | 198 | 0.5313 | 0.5359 | 0.5313 | 0.7289 |
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+ | No log | 1.9417 | 200 | 0.5302 | 0.5451 | 0.5302 | 0.7281 |
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+ | No log | 1.9612 | 202 | 0.5257 | 0.5098 | 0.5257 | 0.7251 |
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+ | No log | 1.9806 | 204 | 0.5491 | 0.5511 | 0.5491 | 0.7410 |
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+ | No log | 2.0 | 206 | 0.6058 | 0.5288 | 0.6058 | 0.7783 |
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+ | No log | 2.0194 | 208 | 0.6552 | 0.5109 | 0.6552 | 0.8094 |
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+ | No log | 2.0388 | 210 | 0.6660 | 0.5101 | 0.6660 | 0.8161 |
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+ | No log | 2.0583 | 212 | 0.6528 | 0.5382 | 0.6528 | 0.8080 |
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+ | No log | 2.0777 | 214 | 0.6068 | 0.5445 | 0.6068 | 0.7790 |
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+ | No log | 2.0971 | 216 | 0.5673 | 0.5704 | 0.5673 | 0.7532 |
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+ | No log | 2.1165 | 218 | 0.5744 | 0.5656 | 0.5744 | 0.7579 |
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+ | No log | 2.1359 | 220 | 0.5436 | 0.5793 | 0.5436 | 0.7373 |
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+ | No log | 2.1553 | 222 | 0.5252 | 0.5362 | 0.5252 | 0.7247 |
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+ | No log | 2.1748 | 224 | 0.5305 | 0.5222 | 0.5305 | 0.7284 |
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+ | No log | 2.1942 | 226 | 0.5111 | 0.5457 | 0.5111 | 0.7149 |
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+ | No log | 2.2136 | 228 | 0.4858 | 0.5573 | 0.4858 | 0.6970 |
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+ | No log | 2.2330 | 230 | 0.5103 | 0.5660 | 0.5103 | 0.7144 |
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+ | No log | 2.2524 | 232 | 0.5316 | 0.5610 | 0.5316 | 0.7291 |
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+ | No log | 2.2718 | 234 | 0.5373 | 0.5578 | 0.5373 | 0.7330 |
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+ | No log | 2.2913 | 236 | 0.5765 | 0.5456 | 0.5765 | 0.7593 |
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+ | No log | 2.3107 | 238 | 0.5666 | 0.5624 | 0.5666 | 0.7527 |
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+ | No log | 2.3301 | 240 | 0.5713 | 0.5528 | 0.5713 | 0.7558 |
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+ | No log | 2.3495 | 242 | 0.6560 | 0.4942 | 0.6560 | 0.8099 |
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+ | No log | 2.3689 | 244 | 0.6048 | 0.5063 | 0.6048 | 0.7777 |
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+ | No log | 2.3883 | 246 | 0.5344 | 0.5061 | 0.5344 | 0.7310 |
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+ | No log | 2.4078 | 248 | 0.5737 | 0.4125 | 0.5737 | 0.7575 |
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+ | No log | 2.4272 | 250 | 0.5618 | 0.4583 | 0.5618 | 0.7495 |
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+ | No log | 2.4466 | 252 | 0.5884 | 0.5009 | 0.5884 | 0.7670 |
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+ | No log | 2.4660 | 254 | 0.7421 | 0.4739 | 0.7421 | 0.8615 |
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+ | No log | 2.4854 | 256 | 0.7987 | 0.4423 | 0.7987 | 0.8937 |
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+ | No log | 2.5049 | 258 | 0.6967 | 0.4894 | 0.6967 | 0.8347 |
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+ | No log | 2.5243 | 260 | 0.6123 | 0.5569 | 0.6123 | 0.7825 |
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+ | No log | 2.5437 | 262 | 0.5077 | 0.5541 | 0.5077 | 0.7125 |
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+ | No log | 2.5631 | 264 | 0.4975 | 0.5591 | 0.4975 | 0.7053 |
184
+ | No log | 2.5825 | 266 | 0.4953 | 0.6139 | 0.4953 | 0.7038 |
185
+ | No log | 2.6019 | 268 | 0.5250 | 0.5962 | 0.5250 | 0.7246 |
186
+ | No log | 2.6214 | 270 | 0.5146 | 0.6277 | 0.5146 | 0.7173 |
187
+ | No log | 2.6408 | 272 | 0.5703 | 0.6047 | 0.5703 | 0.7552 |
188
+ | No log | 2.6602 | 274 | 0.5807 | 0.5921 | 0.5807 | 0.7620 |
189
+ | No log | 2.6796 | 276 | 0.5372 | 0.6161 | 0.5372 | 0.7329 |
190
+ | No log | 2.6990 | 278 | 0.4785 | 0.6238 | 0.4785 | 0.6917 |
191
+ | No log | 2.7184 | 280 | 0.4987 | 0.5888 | 0.4987 | 0.7062 |
192
+ | No log | 2.7379 | 282 | 0.5507 | 0.5375 | 0.5507 | 0.7421 |
193
+ | No log | 2.7573 | 284 | 0.5363 | 0.5474 | 0.5363 | 0.7323 |
194
+ | No log | 2.7767 | 286 | 0.4876 | 0.5508 | 0.4876 | 0.6983 |
195
+ | No log | 2.7961 | 288 | 0.5465 | 0.5784 | 0.5465 | 0.7393 |
196
+ | No log | 2.8155 | 290 | 0.7655 | 0.5037 | 0.7655 | 0.8749 |
197
+ | No log | 2.8350 | 292 | 0.9052 | 0.4506 | 0.9052 | 0.9514 |
198
+ | No log | 2.8544 | 294 | 0.8210 | 0.4720 | 0.8210 | 0.9061 |
199
+ | No log | 2.8738 | 296 | 0.6254 | 0.5025 | 0.6254 | 0.7908 |
200
+ | No log | 2.8932 | 298 | 0.4740 | 0.6017 | 0.4740 | 0.6885 |
201
+ | No log | 2.9126 | 300 | 0.4615 | 0.5310 | 0.4615 | 0.6794 |
202
+ | No log | 2.9320 | 302 | 0.4516 | 0.5381 | 0.4516 | 0.6720 |
203
+ | No log | 2.9515 | 304 | 0.4517 | 0.5461 | 0.4517 | 0.6721 |
204
+ | No log | 2.9709 | 306 | 0.4573 | 0.5547 | 0.4573 | 0.6762 |
205
+ | No log | 2.9903 | 308 | 0.4527 | 0.4903 | 0.4527 | 0.6728 |
206
+ | No log | 3.0097 | 310 | 0.4523 | 0.4913 | 0.4523 | 0.6725 |
207
+ | No log | 3.0291 | 312 | 0.4368 | 0.5250 | 0.4368 | 0.6609 |
208
+ | No log | 3.0485 | 314 | 0.4228 | 0.5751 | 0.4228 | 0.6502 |
209
+ | No log | 3.0680 | 316 | 0.4401 | 0.5659 | 0.4401 | 0.6634 |
210
+ | No log | 3.0874 | 318 | 0.4725 | 0.5194 | 0.4725 | 0.6874 |
211
+ | No log | 3.1068 | 320 | 0.4898 | 0.5674 | 0.4898 | 0.6999 |
212
+ | No log | 3.1262 | 322 | 0.5390 | 0.5565 | 0.5390 | 0.7342 |
213
+ | No log | 3.1456 | 324 | 0.5165 | 0.5731 | 0.5165 | 0.7187 |
214
+ | No log | 3.1650 | 326 | 0.5171 | 0.5919 | 0.5171 | 0.7191 |
215
+ | No log | 3.1845 | 328 | 0.4959 | 0.6539 | 0.4959 | 0.7042 |
216
+ | No log | 3.2039 | 330 | 0.4875 | 0.6517 | 0.4875 | 0.6982 |
217
+ | No log | 3.2233 | 332 | 0.5271 | 0.6586 | 0.5271 | 0.7260 |
218
+ | No log | 3.2427 | 334 | 0.4991 | 0.6524 | 0.4991 | 0.7065 |
219
+ | No log | 3.2621 | 336 | 0.4726 | 0.6451 | 0.4726 | 0.6875 |
220
+ | No log | 3.2816 | 338 | 0.4928 | 0.6422 | 0.4928 | 0.7020 |
221
+ | No log | 3.3010 | 340 | 0.5734 | 0.5797 | 0.5734 | 0.7572 |
222
+ | No log | 3.3204 | 342 | 0.7362 | 0.5185 | 0.7362 | 0.8580 |
223
+ | No log | 3.3398 | 344 | 0.8285 | 0.4607 | 0.8285 | 0.9102 |
224
+ | No log | 3.3592 | 346 | 0.6946 | 0.4978 | 0.6946 | 0.8334 |
225
+ | No log | 3.3786 | 348 | 0.5728 | 0.5655 | 0.5728 | 0.7569 |
226
+ | No log | 3.3981 | 350 | 0.4799 | 0.5873 | 0.4799 | 0.6928 |
227
+ | No log | 3.4175 | 352 | 0.4551 | 0.5620 | 0.4551 | 0.6746 |
228
+ | No log | 3.4369 | 354 | 0.4461 | 0.5751 | 0.4461 | 0.6679 |
229
+ | No log | 3.4563 | 356 | 0.4586 | 0.6076 | 0.4586 | 0.6772 |
230
+ | No log | 3.4757 | 358 | 0.4969 | 0.5935 | 0.4969 | 0.7049 |
231
+ | No log | 3.4951 | 360 | 0.4839 | 0.5918 | 0.4839 | 0.6956 |
232
+ | No log | 3.5146 | 362 | 0.5553 | 0.5848 | 0.5553 | 0.7452 |
233
+ | No log | 3.5340 | 364 | 0.5790 | 0.5699 | 0.5790 | 0.7609 |
234
+ | No log | 3.5534 | 366 | 0.5855 | 0.5619 | 0.5855 | 0.7652 |
235
+ | No log | 3.5728 | 368 | 0.5226 | 0.5843 | 0.5226 | 0.7229 |
236
+ | No log | 3.5922 | 370 | 0.5564 | 0.5770 | 0.5564 | 0.7460 |
237
+ | No log | 3.6117 | 372 | 0.5957 | 0.5599 | 0.5957 | 0.7718 |
238
+ | No log | 3.6311 | 374 | 0.5228 | 0.6219 | 0.5228 | 0.7230 |
239
+ | No log | 3.6505 | 376 | 0.4873 | 0.5599 | 0.4873 | 0.6981 |
240
+ | No log | 3.6699 | 378 | 0.5074 | 0.5823 | 0.5074 | 0.7123 |
241
+ | No log | 3.6893 | 380 | 0.5929 | 0.5690 | 0.5929 | 0.7700 |
242
+ | No log | 3.7087 | 382 | 0.7165 | 0.5651 | 0.7165 | 0.8465 |
243
+ | No log | 3.7282 | 384 | 0.6932 | 0.5776 | 0.6932 | 0.8326 |
244
+ | No log | 3.7476 | 386 | 0.5610 | 0.6242 | 0.5610 | 0.7490 |
245
+ | No log | 3.7670 | 388 | 0.4817 | 0.6541 | 0.4817 | 0.6940 |
246
+ | No log | 3.7864 | 390 | 0.4401 | 0.6346 | 0.4401 | 0.6634 |
247
+ | No log | 3.8058 | 392 | 0.4432 | 0.6213 | 0.4432 | 0.6658 |
248
+ | No log | 3.8252 | 394 | 0.4630 | 0.6454 | 0.4630 | 0.6804 |
249
+ | No log | 3.8447 | 396 | 0.4516 | 0.6545 | 0.4516 | 0.6720 |
250
+ | No log | 3.8641 | 398 | 0.4334 | 0.6349 | 0.4334 | 0.6583 |
251
+ | No log | 3.8835 | 400 | 0.4396 | 0.6147 | 0.4396 | 0.6631 |
252
+ | No log | 3.9029 | 402 | 0.4447 | 0.6368 | 0.4447 | 0.6669 |
253
+ | No log | 3.9223 | 404 | 0.4685 | 0.6367 | 0.4685 | 0.6845 |
254
+ | No log | 3.9417 | 406 | 0.4785 | 0.6309 | 0.4785 | 0.6917 |
255
+ | No log | 3.9612 | 408 | 0.4813 | 0.6193 | 0.4813 | 0.6938 |
256
+ | No log | 3.9806 | 410 | 0.4998 | 0.6362 | 0.4998 | 0.7070 |
257
+ | No log | 4.0 | 412 | 0.4822 | 0.6392 | 0.4822 | 0.6944 |
258
+ | No log | 4.0194 | 414 | 0.4604 | 0.6285 | 0.4604 | 0.6785 |
259
+ | No log | 4.0388 | 416 | 0.4869 | 0.5883 | 0.4869 | 0.6978 |
260
+ | No log | 4.0583 | 418 | 0.5385 | 0.5864 | 0.5385 | 0.7338 |
261
+ | No log | 4.0777 | 420 | 0.4829 | 0.6631 | 0.4829 | 0.6949 |
262
+ | No log | 4.0971 | 422 | 0.4747 | 0.6358 | 0.4747 | 0.6890 |
263
+ | No log | 4.1165 | 424 | 0.5128 | 0.6256 | 0.5128 | 0.7161 |
264
+ | No log | 4.1359 | 426 | 0.5323 | 0.6206 | 0.5323 | 0.7296 |
265
+ | No log | 4.1553 | 428 | 0.5265 | 0.6093 | 0.5265 | 0.7256 |
266
+ | No log | 4.1748 | 430 | 0.5643 | 0.6118 | 0.5643 | 0.7512 |
267
+ | No log | 4.1942 | 432 | 0.6537 | 0.5898 | 0.6537 | 0.8085 |
268
+ | No log | 4.2136 | 434 | 0.5848 | 0.6245 | 0.5848 | 0.7647 |
269
+ | No log | 4.2330 | 436 | 0.4834 | 0.6261 | 0.4834 | 0.6953 |
270
+ | No log | 4.2524 | 438 | 0.4731 | 0.6301 | 0.4731 | 0.6879 |
271
+ | No log | 4.2718 | 440 | 0.4666 | 0.5996 | 0.4666 | 0.6831 |
272
+ | No log | 4.2913 | 442 | 0.4720 | 0.5973 | 0.4720 | 0.6871 |
273
+ | No log | 4.3107 | 444 | 0.4847 | 0.5734 | 0.4847 | 0.6962 |
274
+ | No log | 4.3301 | 446 | 0.5263 | 0.6088 | 0.5263 | 0.7255 |
275
+ | No log | 4.3495 | 448 | 0.6270 | 0.5879 | 0.6270 | 0.7918 |
276
+ | No log | 4.3689 | 450 | 0.6222 | 0.5783 | 0.6222 | 0.7888 |
277
+ | No log | 4.3883 | 452 | 0.5309 | 0.6298 | 0.5309 | 0.7286 |
278
+ | No log | 4.4078 | 454 | 0.4983 | 0.6209 | 0.4983 | 0.7059 |
279
+ | No log | 4.4272 | 456 | 0.4726 | 0.6351 | 0.4726 | 0.6875 |
280
+ | No log | 4.4466 | 458 | 0.5319 | 0.5761 | 0.5319 | 0.7293 |
281
+ | No log | 4.4660 | 460 | 0.5299 | 0.5245 | 0.5299 | 0.7280 |
282
+ | No log | 4.4854 | 462 | 0.5325 | 0.5459 | 0.5325 | 0.7298 |
283
+ | No log | 4.5049 | 464 | 0.5206 | 0.5655 | 0.5206 | 0.7215 |
284
+ | No log | 4.5243 | 466 | 0.5236 | 0.6281 | 0.5236 | 0.7236 |
285
+ | No log | 4.5437 | 468 | 0.6221 | 0.6383 | 0.6221 | 0.7887 |
286
+ | No log | 4.5631 | 470 | 0.9085 | 0.5708 | 0.9085 | 0.9532 |
287
+ | No log | 4.5825 | 472 | 1.0999 | 0.5204 | 1.0999 | 1.0488 |
288
+ | No log | 4.6019 | 474 | 0.9895 | 0.5318 | 0.9895 | 0.9948 |
289
+ | No log | 4.6214 | 476 | 0.7849 | 0.5717 | 0.7849 | 0.8859 |
290
+ | No log | 4.6408 | 478 | 0.6238 | 0.6232 | 0.6238 | 0.7898 |
291
+ | No log | 4.6602 | 480 | 0.5201 | 0.6274 | 0.5201 | 0.7212 |
292
+ | No log | 4.6796 | 482 | 0.5160 | 0.6238 | 0.5160 | 0.7183 |
293
+ | No log | 4.6990 | 484 | 0.5168 | 0.6225 | 0.5168 | 0.7189 |
294
+ | No log | 4.7184 | 486 | 0.4859 | 0.6145 | 0.4859 | 0.6971 |
295
+ | No log | 4.7379 | 488 | 0.4751 | 0.5635 | 0.4751 | 0.6893 |
296
+ | No log | 4.7573 | 490 | 0.4554 | 0.5276 | 0.4554 | 0.6748 |
297
+ | No log | 4.7767 | 492 | 0.4565 | 0.5070 | 0.4565 | 0.6756 |
298
+ | No log | 4.7961 | 494 | 0.4648 | 0.4920 | 0.4648 | 0.6818 |
299
+ | No log | 4.8155 | 496 | 0.4810 | 0.5136 | 0.4810 | 0.6935 |
300
+ | No log | 4.8350 | 498 | 0.5134 | 0.5515 | 0.5134 | 0.7165 |
301
+ | 0.537 | 4.8544 | 500 | 0.5575 | 0.5844 | 0.5575 | 0.7467 |
302
+ | 0.537 | 4.8738 | 502 | 0.5577 | 0.5579 | 0.5577 | 0.7468 |
303
+ | 0.537 | 4.8932 | 504 | 0.5194 | 0.6022 | 0.5194 | 0.7207 |
304
+ | 0.537 | 4.9126 | 506 | 0.4800 | 0.6686 | 0.4800 | 0.6928 |
305
+ | 0.537 | 4.9320 | 508 | 0.4977 | 0.6536 | 0.4977 | 0.7055 |
306
+ | 0.537 | 4.9515 | 510 | 0.5774 | 0.5795 | 0.5774 | 0.7599 |
307
+ | 0.537 | 4.9709 | 512 | 0.7363 | 0.5356 | 0.7363 | 0.8581 |
308
+ | 0.537 | 4.9903 | 514 | 0.7414 | 0.5488 | 0.7414 | 0.8610 |
309
+ | 0.537 | 5.0097 | 516 | 0.7436 | 0.5479 | 0.7436 | 0.8623 |
310
+ | 0.537 | 5.0291 | 518 | 0.6094 | 0.5646 | 0.6094 | 0.7806 |
311
+
312
+
313
+ ### Framework versions
314
+
315
+ - Transformers 4.44.2
316
+ - Pytorch 2.4.0+cu118
317
+ - Datasets 2.21.0
318
+ - 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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