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arabert_augmented_only_k1_organization_task1_fold1

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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: arabert_augmented_only_k1_organization_task1_fold0
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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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+ # arabert_augmented_only_k1_organization_task1_fold0
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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: 1.3231
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+ - Qwk: 0.1139
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+ - Mse: 1.3231
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+ - Rmse: 1.1503
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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: 10
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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 | 0.125 | 2 | 1.8526 | -0.0678 | 1.8526 | 1.3611 |
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+ | No log | 0.25 | 4 | 1.0001 | 0.0 | 1.0001 | 1.0001 |
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+ | No log | 0.375 | 6 | 1.0618 | -0.2692 | 1.0618 | 1.0304 |
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+ | No log | 0.5 | 8 | 1.3233 | 0.0 | 1.3233 | 1.1504 |
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+ | No log | 0.625 | 10 | 1.3468 | 0.0 | 1.3468 | 1.1605 |
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+ | No log | 0.75 | 12 | 1.2608 | 0.0 | 1.2608 | 1.1229 |
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+ | No log | 0.875 | 14 | 1.0592 | 0.0 | 1.0592 | 1.0292 |
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+ | No log | 1.0 | 16 | 0.9202 | 0.0 | 0.9202 | 0.9593 |
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+ | No log | 1.125 | 18 | 0.8845 | 0.0610 | 0.8845 | 0.9405 |
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+ | No log | 1.25 | 20 | 0.8883 | 0.1098 | 0.8883 | 0.9425 |
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+ | No log | 1.375 | 22 | 0.9077 | 0.1187 | 0.9077 | 0.9527 |
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+ | No log | 1.5 | 24 | 0.9214 | 0.0610 | 0.9214 | 0.9599 |
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+ | No log | 1.625 | 26 | 0.9097 | 0.0 | 0.9097 | 0.9538 |
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+ | No log | 1.75 | 28 | 0.9208 | -0.0119 | 0.9208 | 0.9596 |
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+ | No log | 1.875 | 30 | 0.9526 | -0.0119 | 0.9526 | 0.9760 |
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+ | No log | 2.0 | 32 | 1.0163 | -0.0119 | 1.0163 | 1.0081 |
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+ | No log | 2.125 | 34 | 1.0551 | -0.0732 | 1.0551 | 1.0272 |
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+ | No log | 2.25 | 36 | 1.0376 | -0.0809 | 1.0376 | 1.0186 |
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+ | No log | 2.375 | 38 | 1.0160 | 0.0462 | 1.0160 | 1.0080 |
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+ | No log | 2.5 | 40 | 0.9907 | 0.0934 | 0.9907 | 0.9953 |
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+ | No log | 2.625 | 42 | 0.9943 | 0.1361 | 0.9943 | 0.9972 |
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+ | No log | 2.75 | 44 | 0.9955 | 0.1361 | 0.9955 | 0.9978 |
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+ | No log | 2.875 | 46 | 1.0457 | 0.0858 | 1.0457 | 1.0226 |
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+ | No log | 3.0 | 48 | 1.1293 | 0.0462 | 1.1293 | 1.0627 |
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+ | No log | 3.125 | 50 | 1.1374 | 0.0462 | 1.1374 | 1.0665 |
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+ | No log | 3.25 | 52 | 1.1215 | 0.0462 | 1.1215 | 1.0590 |
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+ | No log | 3.375 | 54 | 1.1021 | 0.0462 | 1.1021 | 1.0498 |
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+ | No log | 3.5 | 56 | 1.0960 | 0.0462 | 1.0960 | 1.0469 |
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+ | No log | 3.625 | 58 | 1.1210 | 0.0394 | 1.1210 | 1.0588 |
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+ | No log | 3.75 | 60 | 1.1129 | 0.0934 | 1.1129 | 1.0549 |
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+ | No log | 3.875 | 62 | 1.1341 | -0.0409 | 1.1341 | 1.0649 |
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+ | No log | 4.0 | 64 | 1.1670 | -0.0409 | 1.1670 | 1.0803 |
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+ | No log | 4.125 | 66 | 1.1991 | 0.0371 | 1.1991 | 1.0950 |
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+ | No log | 4.25 | 68 | 1.2356 | 0.0371 | 1.2356 | 1.1116 |
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+ | No log | 4.375 | 70 | 1.2866 | -0.0111 | 1.2866 | 1.1343 |
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+ | No log | 4.5 | 72 | 1.3551 | 0.0571 | 1.3551 | 1.1641 |
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+ | No log | 4.625 | 74 | 1.3634 | 0.0050 | 1.3634 | 1.1676 |
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+ | No log | 4.75 | 76 | 1.3472 | -0.0438 | 1.3472 | 1.1607 |
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+ | No log | 4.875 | 78 | 1.3320 | -0.0438 | 1.3320 | 1.1541 |
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+ | No log | 5.0 | 80 | 1.2731 | 0.0 | 1.2731 | 1.1283 |
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+ | No log | 5.125 | 82 | 1.2759 | 0.0048 | 1.2759 | 1.1296 |
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+ | No log | 5.25 | 84 | 1.2819 | 0.0050 | 1.2819 | 1.1322 |
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+ | No log | 5.375 | 86 | 1.2835 | 0.0097 | 1.2835 | 1.1329 |
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+ | No log | 5.5 | 88 | 1.2604 | 0.0895 | 1.2604 | 1.1227 |
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+ | No log | 5.625 | 90 | 1.1986 | 0.0774 | 1.1986 | 1.0948 |
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+ | No log | 5.75 | 92 | 1.1350 | 0.1287 | 1.1350 | 1.0654 |
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+ | No log | 5.875 | 94 | 1.0816 | 0.1841 | 1.0816 | 1.0400 |
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+ | No log | 6.0 | 96 | 1.0285 | 0.1499 | 1.0285 | 1.0142 |
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+ | No log | 6.125 | 98 | 1.0508 | 0.1499 | 1.0508 | 1.0251 |
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+ | No log | 6.25 | 100 | 1.0945 | 0.1137 | 1.0945 | 1.0462 |
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+ | No log | 6.375 | 102 | 1.1387 | 0.2423 | 1.1387 | 1.0671 |
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+ | No log | 6.5 | 104 | 1.1611 | 0.0922 | 1.1611 | 1.0775 |
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+ | No log | 6.625 | 106 | 1.1801 | 0.1963 | 1.1801 | 1.0863 |
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+ | No log | 6.75 | 108 | 1.2032 | 0.1461 | 1.2032 | 1.0969 |
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+ | No log | 6.875 | 110 | 1.2113 | 0.0895 | 1.2113 | 1.1006 |
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+ | No log | 7.0 | 112 | 1.2249 | 0.0795 | 1.2249 | 1.1068 |
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+ | No log | 7.125 | 114 | 1.2389 | 0.0795 | 1.2389 | 1.1130 |
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+ | No log | 7.25 | 116 | 1.2354 | 0.0795 | 1.2354 | 1.1115 |
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+ | No log | 7.375 | 118 | 1.2418 | 0.0795 | 1.2418 | 1.1144 |
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+ | No log | 7.5 | 120 | 1.2376 | 0.0739 | 1.2376 | 1.1125 |
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+ | No log | 7.625 | 122 | 1.2461 | 0.0198 | 1.2461 | 1.1163 |
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+ | No log | 7.75 | 124 | 1.2540 | 0.1139 | 1.2540 | 1.1198 |
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+ | No log | 7.875 | 126 | 1.2805 | 0.1139 | 1.2805 | 1.1316 |
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+ | No log | 8.0 | 128 | 1.2943 | 0.1139 | 1.2943 | 1.1377 |
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+ | No log | 8.125 | 130 | 1.2933 | 0.1139 | 1.2933 | 1.1372 |
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+ | No log | 8.25 | 132 | 1.2963 | 0.1139 | 1.2963 | 1.1385 |
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+ | No log | 8.375 | 134 | 1.2949 | 0.1506 | 1.2949 | 1.1379 |
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+ | No log | 8.5 | 136 | 1.2956 | 0.1263 | 1.2956 | 1.1383 |
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+ | No log | 8.625 | 138 | 1.2967 | 0.1263 | 1.2967 | 1.1387 |
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+ | No log | 8.75 | 140 | 1.3075 | 0.1328 | 1.3075 | 1.1435 |
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+ | No log | 8.875 | 142 | 1.3103 | 0.0760 | 1.3103 | 1.1447 |
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+ | No log | 9.0 | 144 | 1.3115 | 0.0760 | 1.3115 | 1.1452 |
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+ | No log | 9.125 | 146 | 1.3193 | 0.0760 | 1.3193 | 1.1486 |
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+ | No log | 9.25 | 148 | 1.3242 | 0.0760 | 1.3242 | 1.1507 |
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+ | No log | 9.375 | 150 | 1.3292 | 0.0760 | 1.3292 | 1.1529 |
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+ | No log | 9.5 | 152 | 1.3272 | 0.0760 | 1.3272 | 1.1520 |
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+ | No log | 9.625 | 154 | 1.3238 | 0.1139 | 1.3238 | 1.1505 |
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+ | No log | 9.75 | 156 | 1.3236 | 0.1139 | 1.3236 | 1.1505 |
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+ | No log | 9.875 | 158 | 1.3235 | 0.1139 | 1.3235 | 1.1504 |
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+ | No log | 10.0 | 160 | 1.3231 | 0.1139 | 1.3231 | 1.1503 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu118
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "model_type": "bert",
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+ "position_embedding_type": "absolute",
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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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