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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_run3_AugV5_k14_task5_organization
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k14_task5_organization
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6389
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+ - Qwk: 0.6120
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+ - Mse: 0.6389
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+ - Rmse: 0.7993
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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 | 0.0286 | 2 | 3.9489 | -0.0307 | 3.9489 | 1.9872 |
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+ | No log | 0.0571 | 4 | 2.1772 | 0.0985 | 2.1772 | 1.4755 |
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+ | No log | 0.0857 | 6 | 2.2159 | -0.0086 | 2.2159 | 1.4886 |
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+ | No log | 0.1143 | 8 | 1.2071 | 0.2023 | 1.2071 | 1.0987 |
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+ | No log | 0.1429 | 10 | 1.1051 | 0.0604 | 1.1051 | 1.0513 |
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+ | No log | 0.1714 | 12 | 1.0992 | 0.0888 | 1.0992 | 1.0484 |
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+ | No log | 0.2 | 14 | 1.0433 | 0.1799 | 1.0433 | 1.0214 |
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+ | No log | 0.2286 | 16 | 1.0198 | 0.1767 | 1.0198 | 1.0099 |
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+ | No log | 0.2571 | 18 | 1.0643 | 0.2880 | 1.0643 | 1.0317 |
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+ | No log | 0.2857 | 20 | 1.0884 | 0.2100 | 1.0884 | 1.0433 |
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+ | No log | 0.3143 | 22 | 1.0462 | 0.2689 | 1.0462 | 1.0228 |
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+ | No log | 0.3429 | 24 | 1.0269 | 0.3646 | 1.0269 | 1.0133 |
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+ | No log | 0.3714 | 26 | 0.9022 | 0.3915 | 0.9022 | 0.9498 |
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+ | No log | 0.4 | 28 | 0.9047 | 0.4204 | 0.9047 | 0.9512 |
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+ | No log | 0.4286 | 30 | 1.0539 | 0.4203 | 1.0539 | 1.0266 |
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+ | No log | 0.4571 | 32 | 1.2357 | 0.3216 | 1.2357 | 1.1116 |
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+ | No log | 0.4857 | 34 | 1.0594 | 0.3951 | 1.0594 | 1.0293 |
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+ | No log | 0.5143 | 36 | 0.8061 | 0.4329 | 0.8061 | 0.8978 |
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+ | No log | 0.5429 | 38 | 0.8269 | 0.4455 | 0.8269 | 0.9093 |
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+ | No log | 0.5714 | 40 | 0.9144 | 0.4852 | 0.9144 | 0.9562 |
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+ | No log | 0.6 | 42 | 1.4250 | 0.3275 | 1.4250 | 1.1937 |
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+ | No log | 0.6286 | 44 | 1.6136 | 0.3134 | 1.6136 | 1.2703 |
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+ | No log | 0.6571 | 46 | 1.4686 | 0.3058 | 1.4686 | 1.2119 |
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+ | No log | 0.6857 | 48 | 0.8995 | 0.5648 | 0.8995 | 0.9484 |
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+ | No log | 0.7143 | 50 | 0.6700 | 0.5340 | 0.6700 | 0.8186 |
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+ | No log | 0.7429 | 52 | 0.6714 | 0.4888 | 0.6714 | 0.8194 |
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+ | No log | 0.7714 | 54 | 0.6519 | 0.6417 | 0.6519 | 0.8074 |
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+ | No log | 0.8 | 56 | 0.7017 | 0.5717 | 0.7017 | 0.8376 |
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+ | No log | 0.8286 | 58 | 0.6643 | 0.5542 | 0.6643 | 0.8151 |
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+ | No log | 0.8571 | 60 | 0.6490 | 0.6196 | 0.6490 | 0.8056 |
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+ | No log | 0.8857 | 62 | 0.6478 | 0.5996 | 0.6478 | 0.8048 |
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+ | No log | 0.9143 | 64 | 0.6765 | 0.5855 | 0.6765 | 0.8225 |
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+ | No log | 0.9429 | 66 | 0.6508 | 0.6399 | 0.6508 | 0.8067 |
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+ | No log | 0.9714 | 68 | 0.7201 | 0.6524 | 0.7201 | 0.8486 |
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+ | No log | 1.0 | 70 | 0.6879 | 0.6610 | 0.6879 | 0.8294 |
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+ | No log | 1.0286 | 72 | 0.6219 | 0.6636 | 0.6219 | 0.7886 |
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+ | No log | 1.0571 | 74 | 0.6577 | 0.6936 | 0.6577 | 0.8110 |
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+ | No log | 1.0857 | 76 | 0.6130 | 0.7063 | 0.6130 | 0.7829 |
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+ | No log | 1.1143 | 78 | 0.5769 | 0.6703 | 0.5769 | 0.7595 |
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+ | No log | 1.1429 | 80 | 0.6644 | 0.6420 | 0.6644 | 0.8151 |
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+ | No log | 1.1714 | 82 | 0.6364 | 0.6316 | 0.6364 | 0.7978 |
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+ | No log | 1.2 | 84 | 0.6046 | 0.6290 | 0.6046 | 0.7776 |
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+ | No log | 1.2286 | 86 | 0.5750 | 0.6605 | 0.5750 | 0.7583 |
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+ | No log | 1.2571 | 88 | 0.5779 | 0.6570 | 0.5779 | 0.7602 |
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+ | No log | 1.2857 | 90 | 0.5869 | 0.6711 | 0.5869 | 0.7661 |
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+ | No log | 1.3143 | 92 | 0.6168 | 0.6730 | 0.6168 | 0.7854 |
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+ | No log | 1.3429 | 94 | 0.7247 | 0.6570 | 0.7247 | 0.8513 |
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+ | No log | 1.3714 | 96 | 0.6768 | 0.6434 | 0.6768 | 0.8227 |
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+ | No log | 1.4 | 98 | 0.6008 | 0.7104 | 0.6008 | 0.7751 |
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+ | No log | 1.4286 | 100 | 0.5624 | 0.6589 | 0.5624 | 0.7500 |
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+ | No log | 1.4571 | 102 | 0.5569 | 0.6689 | 0.5569 | 0.7463 |
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+ | No log | 1.4857 | 104 | 0.5600 | 0.6589 | 0.5600 | 0.7484 |
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+ | No log | 1.5143 | 106 | 0.5894 | 0.6998 | 0.5894 | 0.7677 |
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+ | No log | 1.5429 | 108 | 0.7066 | 0.6439 | 0.7066 | 0.8406 |
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+ | No log | 1.5714 | 110 | 0.7078 | 0.6696 | 0.7078 | 0.8413 |
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+ | No log | 1.6 | 112 | 0.6057 | 0.6751 | 0.6057 | 0.7782 |
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+ | No log | 1.6286 | 114 | 0.5749 | 0.6882 | 0.5749 | 0.7582 |
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+ | No log | 1.6571 | 116 | 0.5873 | 0.6882 | 0.5873 | 0.7663 |
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+ | No log | 1.6857 | 118 | 0.5835 | 0.7239 | 0.5835 | 0.7639 |
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+ | No log | 1.7143 | 120 | 0.6080 | 0.6693 | 0.6080 | 0.7797 |
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+ | No log | 1.7429 | 122 | 0.6120 | 0.6828 | 0.6120 | 0.7823 |
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+ | No log | 1.7714 | 124 | 0.6464 | 0.6903 | 0.6464 | 0.8040 |
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+ | No log | 1.8 | 126 | 0.8059 | 0.6330 | 0.8059 | 0.8977 |
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+ | No log | 1.8286 | 128 | 1.0857 | 0.4886 | 1.0857 | 1.0420 |
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+ | No log | 1.8571 | 130 | 0.9605 | 0.6234 | 0.9605 | 0.9801 |
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+ | No log | 1.8857 | 132 | 0.6941 | 0.6706 | 0.6941 | 0.8332 |
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+ | No log | 1.9143 | 134 | 0.7027 | 0.5962 | 0.7027 | 0.8383 |
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+ | No log | 1.9429 | 136 | 0.7684 | 0.5799 | 0.7684 | 0.8766 |
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+ | No log | 1.9714 | 138 | 0.7115 | 0.6160 | 0.7115 | 0.8435 |
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+ | No log | 2.0 | 140 | 0.6397 | 0.6259 | 0.6397 | 0.7998 |
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+ | No log | 2.0286 | 142 | 0.7094 | 0.5339 | 0.7094 | 0.8423 |
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+ | No log | 2.0571 | 144 | 0.7122 | 0.5430 | 0.7122 | 0.8439 |
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+ | No log | 2.0857 | 146 | 0.6664 | 0.6039 | 0.6664 | 0.8163 |
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+ | No log | 2.1143 | 148 | 0.8280 | 0.5422 | 0.8280 | 0.9099 |
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+ | No log | 2.1429 | 150 | 0.9145 | 0.4894 | 0.9145 | 0.9563 |
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+ | No log | 2.1714 | 152 | 0.8427 | 0.5106 | 0.8427 | 0.9180 |
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+ | No log | 2.2 | 154 | 0.6977 | 0.6198 | 0.6977 | 0.8353 |
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+ | No log | 2.2286 | 156 | 0.6506 | 0.6584 | 0.6506 | 0.8066 |
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+ | No log | 2.2571 | 158 | 0.6165 | 0.6798 | 0.6165 | 0.7852 |
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+ | No log | 2.2857 | 160 | 0.6451 | 0.6537 | 0.6451 | 0.8032 |
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+ | No log | 2.3143 | 162 | 0.7602 | 0.5838 | 0.7602 | 0.8719 |
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+ | No log | 2.3429 | 164 | 0.8142 | 0.5914 | 0.8142 | 0.9023 |
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+ | No log | 2.3714 | 166 | 0.6528 | 0.6350 | 0.6528 | 0.8080 |
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+ | No log | 2.4 | 168 | 0.5388 | 0.6990 | 0.5388 | 0.7341 |
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+ | No log | 2.4286 | 170 | 0.6021 | 0.6606 | 0.6021 | 0.7760 |
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+ | No log | 2.4571 | 172 | 0.6011 | 0.7033 | 0.6011 | 0.7753 |
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+ | No log | 2.4857 | 174 | 0.5497 | 0.6999 | 0.5497 | 0.7414 |
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+ | No log | 2.5143 | 176 | 0.5708 | 0.7460 | 0.5708 | 0.7555 |
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+ | No log | 2.5429 | 178 | 0.5940 | 0.6708 | 0.5940 | 0.7707 |
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+ | No log | 2.5714 | 180 | 0.5943 | 0.6187 | 0.5943 | 0.7709 |
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+ | No log | 2.6 | 182 | 0.6209 | 0.6325 | 0.6209 | 0.7880 |
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+ | No log | 2.6286 | 184 | 0.6116 | 0.6187 | 0.6116 | 0.7820 |
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+ | No log | 2.6571 | 186 | 0.6340 | 0.6986 | 0.6340 | 0.7962 |
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+ | No log | 2.6857 | 188 | 0.6595 | 0.7195 | 0.6595 | 0.8121 |
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+ | No log | 2.7143 | 190 | 0.6729 | 0.6978 | 0.6729 | 0.8203 |
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+ | No log | 2.7429 | 192 | 0.6297 | 0.7073 | 0.6297 | 0.7935 |
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+ | No log | 2.7714 | 194 | 0.6209 | 0.7189 | 0.6209 | 0.7880 |
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+ | No log | 2.8 | 196 | 0.6087 | 0.7546 | 0.6087 | 0.7802 |
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+ | No log | 2.8286 | 198 | 0.5666 | 0.7376 | 0.5666 | 0.7527 |
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+ | No log | 2.8571 | 200 | 0.5643 | 0.7096 | 0.5643 | 0.7512 |
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+ | No log | 2.8857 | 202 | 0.6194 | 0.6974 | 0.6194 | 0.7870 |
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+ | No log | 2.9143 | 204 | 0.6417 | 0.6818 | 0.6417 | 0.8011 |
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+ | No log | 2.9429 | 206 | 0.5761 | 0.6952 | 0.5761 | 0.7590 |
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+ | No log | 2.9714 | 208 | 0.5562 | 0.6709 | 0.5562 | 0.7458 |
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+ | No log | 3.0 | 210 | 0.6191 | 0.7214 | 0.6191 | 0.7868 |
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+ | No log | 3.0286 | 212 | 0.6105 | 0.7013 | 0.6105 | 0.7814 |
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+ | No log | 3.0571 | 214 | 0.5587 | 0.7034 | 0.5587 | 0.7475 |
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+ | No log | 3.0857 | 216 | 0.6202 | 0.6835 | 0.6202 | 0.7876 |
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+ | No log | 3.1143 | 218 | 0.6793 | 0.6067 | 0.6793 | 0.8242 |
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+ | No log | 3.1429 | 220 | 0.6241 | 0.6938 | 0.6241 | 0.7900 |
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+ | No log | 3.1714 | 222 | 0.6145 | 0.7027 | 0.6145 | 0.7839 |
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+ | No log | 3.2 | 224 | 0.6717 | 0.6054 | 0.6717 | 0.8196 |
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+ | No log | 3.2286 | 226 | 0.6788 | 0.5356 | 0.6788 | 0.8239 |
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+ | No log | 3.2571 | 228 | 0.6422 | 0.5150 | 0.6422 | 0.8014 |
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+ | No log | 3.2857 | 230 | 0.6218 | 0.5708 | 0.6218 | 0.7885 |
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+ | No log | 3.3143 | 232 | 0.5797 | 0.6055 | 0.5797 | 0.7614 |
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+ | No log | 3.3429 | 234 | 0.5603 | 0.7077 | 0.5603 | 0.7486 |
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+ | No log | 3.3714 | 236 | 0.5707 | 0.7077 | 0.5707 | 0.7555 |
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+ | No log | 3.4 | 238 | 0.5710 | 0.6976 | 0.5710 | 0.7556 |
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+ | No log | 3.4286 | 240 | 0.5547 | 0.6966 | 0.5547 | 0.7448 |
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+ | No log | 3.4571 | 242 | 0.5507 | 0.7071 | 0.5507 | 0.7421 |
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+ | No log | 3.4857 | 244 | 0.5553 | 0.7071 | 0.5553 | 0.7452 |
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+ | No log | 3.5143 | 246 | 0.5664 | 0.6966 | 0.5664 | 0.7526 |
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+ | No log | 3.5429 | 248 | 0.5974 | 0.6916 | 0.5974 | 0.7729 |
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+ | No log | 3.5714 | 250 | 0.6239 | 0.6444 | 0.6239 | 0.7899 |
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+ | No log | 3.6 | 252 | 0.6047 | 0.6916 | 0.6047 | 0.7776 |
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+ | No log | 3.6286 | 254 | 0.6005 | 0.6882 | 0.6005 | 0.7749 |
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+ | No log | 3.6571 | 256 | 0.6195 | 0.6812 | 0.6195 | 0.7871 |
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+ | No log | 3.6857 | 258 | 0.6094 | 0.6812 | 0.6094 | 0.7807 |
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+ | No log | 3.7143 | 260 | 0.6122 | 0.6586 | 0.6122 | 0.7824 |
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+ | No log | 3.7429 | 262 | 0.7153 | 0.6459 | 0.7153 | 0.8458 |
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+ | No log | 3.7714 | 264 | 0.7646 | 0.5990 | 0.7646 | 0.8744 |
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+ | No log | 3.8 | 266 | 0.6456 | 0.6649 | 0.6456 | 0.8035 |
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+ | No log | 3.8286 | 268 | 0.5749 | 0.6947 | 0.5749 | 0.7582 |
186
+ | No log | 3.8571 | 270 | 0.6057 | 0.6507 | 0.6057 | 0.7782 |
187
+ | No log | 3.8857 | 272 | 0.5910 | 0.6822 | 0.5910 | 0.7687 |
188
+ | No log | 3.9143 | 274 | 0.5813 | 0.6699 | 0.5813 | 0.7624 |
189
+ | No log | 3.9429 | 276 | 0.5894 | 0.6846 | 0.5894 | 0.7677 |
190
+ | No log | 3.9714 | 278 | 0.6044 | 0.6843 | 0.6044 | 0.7774 |
191
+ | No log | 4.0 | 280 | 0.6219 | 0.6736 | 0.6219 | 0.7886 |
192
+ | No log | 4.0286 | 282 | 0.6356 | 0.6850 | 0.6356 | 0.7972 |
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+ | No log | 4.0571 | 284 | 0.6282 | 0.6820 | 0.6282 | 0.7926 |
194
+ | No log | 4.0857 | 286 | 0.6765 | 0.5940 | 0.6765 | 0.8225 |
195
+ | No log | 4.1143 | 288 | 0.6910 | 0.5256 | 0.6910 | 0.8313 |
196
+ | No log | 4.1429 | 290 | 0.6789 | 0.5244 | 0.6789 | 0.8239 |
197
+ | No log | 4.1714 | 292 | 0.6139 | 0.6007 | 0.6139 | 0.7835 |
198
+ | No log | 4.2 | 294 | 0.5917 | 0.6890 | 0.5917 | 0.7692 |
199
+ | No log | 4.2286 | 296 | 0.6010 | 0.6357 | 0.6010 | 0.7753 |
200
+ | No log | 4.2571 | 298 | 0.5726 | 0.6935 | 0.5726 | 0.7567 |
201
+ | No log | 4.2857 | 300 | 0.5580 | 0.6724 | 0.5580 | 0.7470 |
202
+ | No log | 4.3143 | 302 | 0.5631 | 0.6451 | 0.5631 | 0.7504 |
203
+ | No log | 4.3429 | 304 | 0.5741 | 0.6320 | 0.5741 | 0.7577 |
204
+ | No log | 4.3714 | 306 | 0.5773 | 0.6442 | 0.5773 | 0.7598 |
205
+ | No log | 4.4 | 308 | 0.6043 | 0.6035 | 0.6043 | 0.7773 |
206
+ | No log | 4.4286 | 310 | 0.5971 | 0.6330 | 0.5971 | 0.7727 |
207
+ | No log | 4.4571 | 312 | 0.5759 | 0.7165 | 0.5759 | 0.7589 |
208
+ | No log | 4.4857 | 314 | 0.5796 | 0.7124 | 0.5796 | 0.7613 |
209
+ | No log | 4.5143 | 316 | 0.5873 | 0.6966 | 0.5873 | 0.7663 |
210
+ | No log | 4.5429 | 318 | 0.6378 | 0.6263 | 0.6378 | 0.7986 |
211
+ | No log | 4.5714 | 320 | 0.7025 | 0.5930 | 0.7025 | 0.8382 |
212
+ | No log | 4.6 | 322 | 0.6932 | 0.5930 | 0.6932 | 0.8326 |
213
+ | No log | 4.6286 | 324 | 0.6365 | 0.6083 | 0.6365 | 0.7978 |
214
+ | No log | 4.6571 | 326 | 0.5887 | 0.6838 | 0.5887 | 0.7673 |
215
+ | No log | 4.6857 | 328 | 0.6088 | 0.6184 | 0.6088 | 0.7803 |
216
+ | No log | 4.7143 | 330 | 0.5996 | 0.6108 | 0.5996 | 0.7743 |
217
+ | No log | 4.7429 | 332 | 0.5968 | 0.5747 | 0.5968 | 0.7725 |
218
+ | No log | 4.7714 | 334 | 0.6429 | 0.5654 | 0.6429 | 0.8018 |
219
+ | No log | 4.8 | 336 | 0.6574 | 0.6025 | 0.6574 | 0.8108 |
220
+ | No log | 4.8286 | 338 | 0.5998 | 0.6247 | 0.5998 | 0.7745 |
221
+ | No log | 4.8571 | 340 | 0.5711 | 0.6439 | 0.5711 | 0.7557 |
222
+ | No log | 4.8857 | 342 | 0.5822 | 0.6605 | 0.5822 | 0.7630 |
223
+ | No log | 4.9143 | 344 | 0.5968 | 0.6374 | 0.5968 | 0.7725 |
224
+ | No log | 4.9429 | 346 | 0.5956 | 0.6605 | 0.5956 | 0.7718 |
225
+ | No log | 4.9714 | 348 | 0.5888 | 0.6256 | 0.5888 | 0.7673 |
226
+ | No log | 5.0 | 350 | 0.5893 | 0.6094 | 0.5893 | 0.7676 |
227
+ | No log | 5.0286 | 352 | 0.5763 | 0.6690 | 0.5763 | 0.7592 |
228
+ | No log | 5.0571 | 354 | 0.5649 | 0.6874 | 0.5649 | 0.7516 |
229
+ | No log | 5.0857 | 356 | 0.5608 | 0.6909 | 0.5608 | 0.7489 |
230
+ | No log | 5.1143 | 358 | 0.5928 | 0.6536 | 0.5928 | 0.7699 |
231
+ | No log | 5.1429 | 360 | 0.6199 | 0.6657 | 0.6199 | 0.7874 |
232
+ | No log | 5.1714 | 362 | 0.6225 | 0.6560 | 0.6225 | 0.7890 |
233
+ | No log | 5.2 | 364 | 0.5760 | 0.6536 | 0.5760 | 0.7590 |
234
+ | No log | 5.2286 | 366 | 0.5692 | 0.6356 | 0.5692 | 0.7544 |
235
+ | No log | 5.2571 | 368 | 0.5859 | 0.6356 | 0.5859 | 0.7654 |
236
+ | No log | 5.2857 | 370 | 0.6380 | 0.5987 | 0.6380 | 0.7987 |
237
+ | No log | 5.3143 | 372 | 0.7020 | 0.5911 | 0.7020 | 0.8378 |
238
+ | No log | 5.3429 | 374 | 0.6792 | 0.5930 | 0.6792 | 0.8241 |
239
+ | No log | 5.3714 | 376 | 0.6328 | 0.6501 | 0.6328 | 0.7955 |
240
+ | No log | 5.4 | 378 | 0.6128 | 0.6280 | 0.6128 | 0.7828 |
241
+ | No log | 5.4286 | 380 | 0.6473 | 0.6197 | 0.6473 | 0.8045 |
242
+ | No log | 5.4571 | 382 | 0.6628 | 0.6463 | 0.6628 | 0.8141 |
243
+ | No log | 5.4857 | 384 | 0.6489 | 0.6324 | 0.6489 | 0.8055 |
244
+ | No log | 5.5143 | 386 | 0.5807 | 0.6197 | 0.5807 | 0.7620 |
245
+ | No log | 5.5429 | 388 | 0.5633 | 0.5960 | 0.5633 | 0.7505 |
246
+ | No log | 5.5714 | 390 | 0.5666 | 0.6243 | 0.5666 | 0.7528 |
247
+ | No log | 5.6 | 392 | 0.5638 | 0.5960 | 0.5638 | 0.7509 |
248
+ | No log | 5.6286 | 394 | 0.5684 | 0.6133 | 0.5684 | 0.7539 |
249
+ | No log | 5.6571 | 396 | 0.6117 | 0.6063 | 0.6117 | 0.7821 |
250
+ | No log | 5.6857 | 398 | 0.6521 | 0.6035 | 0.6521 | 0.8075 |
251
+ | No log | 5.7143 | 400 | 0.6487 | 0.6035 | 0.6487 | 0.8054 |
252
+ | No log | 5.7429 | 402 | 0.6684 | 0.5595 | 0.6684 | 0.8175 |
253
+ | No log | 5.7714 | 404 | 0.6867 | 0.5647 | 0.6867 | 0.8287 |
254
+ | No log | 5.8 | 406 | 0.6460 | 0.6081 | 0.6460 | 0.8038 |
255
+ | No log | 5.8286 | 408 | 0.5620 | 0.5959 | 0.5620 | 0.7497 |
256
+ | No log | 5.8571 | 410 | 0.5372 | 0.6712 | 0.5372 | 0.7329 |
257
+ | No log | 5.8857 | 412 | 0.5240 | 0.6846 | 0.5240 | 0.7239 |
258
+ | No log | 5.9143 | 414 | 0.5196 | 0.6868 | 0.5196 | 0.7209 |
259
+ | No log | 5.9429 | 416 | 0.5523 | 0.6845 | 0.5523 | 0.7432 |
260
+ | No log | 5.9714 | 418 | 0.6059 | 0.6443 | 0.6059 | 0.7784 |
261
+ | No log | 6.0 | 420 | 0.5534 | 0.6813 | 0.5534 | 0.7439 |
262
+ | No log | 6.0286 | 422 | 0.5464 | 0.6732 | 0.5464 | 0.7392 |
263
+ | No log | 6.0571 | 424 | 0.5566 | 0.6337 | 0.5566 | 0.7460 |
264
+ | No log | 6.0857 | 426 | 0.5847 | 0.6249 | 0.5847 | 0.7646 |
265
+ | No log | 6.1143 | 428 | 0.6286 | 0.6592 | 0.6286 | 0.7928 |
266
+ | No log | 6.1429 | 430 | 0.6198 | 0.6420 | 0.6198 | 0.7873 |
267
+ | No log | 6.1714 | 432 | 0.6328 | 0.6491 | 0.6328 | 0.7955 |
268
+ | No log | 6.2 | 434 | 0.6006 | 0.6122 | 0.6006 | 0.7750 |
269
+ | No log | 6.2286 | 436 | 0.5848 | 0.6259 | 0.5848 | 0.7647 |
270
+ | No log | 6.2571 | 438 | 0.5915 | 0.6404 | 0.5915 | 0.7691 |
271
+ | No log | 6.2857 | 440 | 0.5824 | 0.6748 | 0.5824 | 0.7631 |
272
+ | No log | 6.3143 | 442 | 0.5595 | 0.6617 | 0.5595 | 0.7480 |
273
+ | No log | 6.3429 | 444 | 0.5468 | 0.6421 | 0.5468 | 0.7395 |
274
+ | No log | 6.3714 | 446 | 0.5486 | 0.6389 | 0.5486 | 0.7406 |
275
+ | No log | 6.4 | 448 | 0.5761 | 0.6380 | 0.5761 | 0.7590 |
276
+ | No log | 6.4286 | 450 | 0.6334 | 0.6455 | 0.6334 | 0.7959 |
277
+ | No log | 6.4571 | 452 | 0.6806 | 0.6015 | 0.6806 | 0.8250 |
278
+ | No log | 6.4857 | 454 | 0.7157 | 0.5942 | 0.7157 | 0.8460 |
279
+ | No log | 6.5143 | 456 | 0.6887 | 0.5763 | 0.6887 | 0.8299 |
280
+ | No log | 6.5429 | 458 | 0.6300 | 0.5825 | 0.6300 | 0.7937 |
281
+ | No log | 6.5714 | 460 | 0.5739 | 0.5960 | 0.5739 | 0.7576 |
282
+ | No log | 6.6 | 462 | 0.5564 | 0.6139 | 0.5564 | 0.7459 |
283
+ | No log | 6.6286 | 464 | 0.5526 | 0.6822 | 0.5526 | 0.7434 |
284
+ | No log | 6.6571 | 466 | 0.5529 | 0.6593 | 0.5529 | 0.7436 |
285
+ | No log | 6.6857 | 468 | 0.5708 | 0.5969 | 0.5708 | 0.7555 |
286
+ | No log | 6.7143 | 470 | 0.6219 | 0.6601 | 0.6219 | 0.7886 |
287
+ | No log | 6.7429 | 472 | 0.6431 | 0.6632 | 0.6431 | 0.8019 |
288
+ | No log | 6.7714 | 474 | 0.6053 | 0.6305 | 0.6053 | 0.7780 |
289
+ | No log | 6.8 | 476 | 0.5781 | 0.6424 | 0.5781 | 0.7604 |
290
+ | No log | 6.8286 | 478 | 0.5769 | 0.6229 | 0.5769 | 0.7595 |
291
+ | No log | 6.8571 | 480 | 0.5704 | 0.6649 | 0.5704 | 0.7553 |
292
+ | No log | 6.8857 | 482 | 0.5651 | 0.6509 | 0.5651 | 0.7517 |
293
+ | No log | 6.9143 | 484 | 0.5836 | 0.6597 | 0.5836 | 0.7639 |
294
+ | No log | 6.9429 | 486 | 0.5997 | 0.6421 | 0.5997 | 0.7744 |
295
+ | No log | 6.9714 | 488 | 0.6185 | 0.6446 | 0.6185 | 0.7864 |
296
+ | No log | 7.0 | 490 | 0.5990 | 0.6335 | 0.5990 | 0.7740 |
297
+ | No log | 7.0286 | 492 | 0.5808 | 0.6307 | 0.5808 | 0.7621 |
298
+ | No log | 7.0571 | 494 | 0.5570 | 0.6470 | 0.5570 | 0.7463 |
299
+ | No log | 7.0857 | 496 | 0.5483 | 0.6658 | 0.5483 | 0.7405 |
300
+ | No log | 7.1143 | 498 | 0.5485 | 0.6846 | 0.5485 | 0.7406 |
301
+ | 0.2704 | 7.1429 | 500 | 0.5579 | 0.6740 | 0.5579 | 0.7469 |
302
+ | 0.2704 | 7.1714 | 502 | 0.5717 | 0.6664 | 0.5717 | 0.7561 |
303
+ | 0.2704 | 7.2 | 504 | 0.6018 | 0.6427 | 0.6018 | 0.7758 |
304
+ | 0.2704 | 7.2286 | 506 | 0.5778 | 0.6352 | 0.5778 | 0.7601 |
305
+ | 0.2704 | 7.2571 | 508 | 0.5739 | 0.6526 | 0.5739 | 0.7575 |
306
+ | 0.2704 | 7.2857 | 510 | 0.6389 | 0.6120 | 0.6389 | 0.7993 |
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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 64000
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+ }
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