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arabert_baseline_organization_task1_fold0

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  1. README.md +134 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
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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_baseline_augmented_organization_task1_fold1
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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_baseline_augmented_organization_task1_fold1
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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: 0.5936
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+ - Qwk: 0.6341
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+ - Mse: 0.5936
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+ - Rmse: 0.7705
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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 | 0.1333 | 2 | 3.0841 | 0.0302 | 3.0841 | 1.7562 |
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+ | No log | 0.2667 | 4 | 1.4917 | -0.0310 | 1.4917 | 1.2214 |
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+ | No log | 0.4 | 6 | 0.8151 | 0.1901 | 0.8151 | 0.9028 |
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+ | No log | 0.5333 | 8 | 0.7692 | 0.1355 | 0.7692 | 0.8770 |
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+ | No log | 0.6667 | 10 | 0.6718 | 0.3913 | 0.6718 | 0.8196 |
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+ | No log | 0.8 | 12 | 0.6380 | 0.4141 | 0.6380 | 0.7987 |
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+ | No log | 0.9333 | 14 | 0.6826 | 0.3778 | 0.6826 | 0.8262 |
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+ | No log | 1.0667 | 16 | 0.8820 | 0.3212 | 0.8820 | 0.9391 |
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+ | No log | 1.2 | 18 | 0.6164 | 0.4085 | 0.6164 | 0.7851 |
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+ | No log | 1.3333 | 20 | 0.6655 | 0.5116 | 0.6655 | 0.8158 |
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+ | No log | 1.4667 | 22 | 0.7851 | 0.5116 | 0.7851 | 0.8861 |
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+ | No log | 1.6 | 24 | 0.6450 | 0.6354 | 0.6450 | 0.8031 |
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+ | No log | 1.7333 | 26 | 0.5017 | 0.5581 | 0.5017 | 0.7083 |
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+ | No log | 1.8667 | 28 | 0.9415 | 0.2524 | 0.9415 | 0.9703 |
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+ | No log | 2.0 | 30 | 0.6734 | 0.4615 | 0.6734 | 0.8206 |
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+ | No log | 2.1333 | 32 | 0.4050 | 0.5984 | 0.4050 | 0.6364 |
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+ | No log | 2.2667 | 34 | 0.5873 | 0.6051 | 0.5873 | 0.7663 |
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+ | No log | 2.4 | 36 | 0.6292 | 0.6051 | 0.6292 | 0.7932 |
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+ | No log | 2.5333 | 38 | 0.4895 | 0.6051 | 0.4895 | 0.6996 |
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+ | No log | 2.6667 | 40 | 0.4042 | 0.4893 | 0.4042 | 0.6358 |
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+ | No log | 2.8 | 42 | 0.4005 | 0.5543 | 0.4005 | 0.6329 |
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+ | No log | 2.9333 | 44 | 0.4059 | 0.5977 | 0.4059 | 0.6371 |
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+ | No log | 3.0667 | 46 | 0.4222 | 0.5468 | 0.4222 | 0.6497 |
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+ | No log | 3.2 | 48 | 0.5120 | 0.7004 | 0.5120 | 0.7155 |
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+ | No log | 3.3333 | 50 | 0.6828 | 0.6486 | 0.6828 | 0.8263 |
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+ | No log | 3.4667 | 52 | 0.6311 | 0.6316 | 0.6311 | 0.7944 |
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+ | No log | 3.6 | 54 | 0.5075 | 0.5987 | 0.5075 | 0.7124 |
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+ | No log | 3.7333 | 56 | 0.5206 | 0.5106 | 0.5206 | 0.7216 |
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+ | No log | 3.8667 | 58 | 0.5476 | 0.5157 | 0.5476 | 0.7400 |
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+ | No log | 4.0 | 60 | 0.4934 | 0.5205 | 0.4934 | 0.7024 |
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+ | No log | 4.1333 | 62 | 0.5593 | 0.5751 | 0.5593 | 0.7479 |
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+ | No log | 4.2667 | 64 | 0.8046 | 0.6883 | 0.8046 | 0.8970 |
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+ | No log | 4.4 | 66 | 0.8289 | 0.7131 | 0.8289 | 0.9104 |
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+ | No log | 4.5333 | 68 | 0.7470 | 0.6957 | 0.7470 | 0.8643 |
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+ | No log | 4.6667 | 70 | 0.5733 | 0.6028 | 0.5733 | 0.7572 |
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+ | No log | 4.8 | 72 | 0.5127 | 0.5205 | 0.5127 | 0.7160 |
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+ | No log | 4.9333 | 74 | 0.5790 | 0.5581 | 0.5790 | 0.7609 |
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+ | No log | 5.0667 | 76 | 0.5315 | 0.5772 | 0.5315 | 0.7290 |
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+ | No log | 5.2 | 78 | 0.4861 | 0.5611 | 0.4861 | 0.6972 |
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+ | No log | 5.3333 | 80 | 0.6214 | 0.6172 | 0.6214 | 0.7883 |
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+ | No log | 5.4667 | 82 | 0.7550 | 0.7131 | 0.7550 | 0.8689 |
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+ | No log | 5.6 | 84 | 0.7349 | 0.7131 | 0.7349 | 0.8572 |
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+ | No log | 5.7333 | 86 | 0.6173 | 0.6056 | 0.6173 | 0.7857 |
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+ | No log | 5.8667 | 88 | 0.5064 | 0.6209 | 0.5064 | 0.7116 |
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+ | No log | 6.0 | 90 | 0.5083 | 0.5882 | 0.5083 | 0.7129 |
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+ | No log | 6.1333 | 92 | 0.5456 | 0.5581 | 0.5456 | 0.7386 |
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+ | No log | 6.2667 | 94 | 0.5064 | 0.5882 | 0.5064 | 0.7116 |
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+ | No log | 6.4 | 96 | 0.4834 | 0.5576 | 0.4834 | 0.6953 |
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+ | No log | 6.5333 | 98 | 0.5811 | 0.6341 | 0.5811 | 0.7623 |
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+ | No log | 6.6667 | 100 | 0.6637 | 0.6818 | 0.6637 | 0.8147 |
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+ | No log | 6.8 | 102 | 0.6741 | 0.6067 | 0.6741 | 0.8210 |
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+ | No log | 6.9333 | 104 | 0.6070 | 0.6067 | 0.6070 | 0.7791 |
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+ | No log | 7.0667 | 106 | 0.5169 | 0.6525 | 0.5169 | 0.7190 |
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+ | No log | 7.2 | 108 | 0.4812 | 0.6465 | 0.4812 | 0.6937 |
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+ | No log | 7.3333 | 110 | 0.4903 | 0.6879 | 0.4903 | 0.7002 |
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+ | No log | 7.4667 | 112 | 0.5035 | 0.6405 | 0.5035 | 0.7096 |
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+ | No log | 7.6 | 114 | 0.5003 | 0.6879 | 0.5003 | 0.7073 |
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+ | No log | 7.7333 | 116 | 0.5243 | 0.7016 | 0.5243 | 0.7241 |
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+ | No log | 7.8667 | 118 | 0.5949 | 0.6776 | 0.5949 | 0.7713 |
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+ | No log | 8.0 | 120 | 0.6398 | 0.6341 | 0.6398 | 0.7999 |
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+ | No log | 8.1333 | 122 | 0.6353 | 0.6341 | 0.6353 | 0.7970 |
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+ | No log | 8.2667 | 124 | 0.6012 | 0.6341 | 0.6012 | 0.7754 |
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+ | No log | 8.4 | 126 | 0.5564 | 0.6957 | 0.5564 | 0.7459 |
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+ | No log | 8.5333 | 128 | 0.5379 | 0.6957 | 0.5379 | 0.7334 |
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+ | No log | 8.6667 | 130 | 0.5384 | 0.6525 | 0.5384 | 0.7338 |
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+ | No log | 8.8 | 132 | 0.5411 | 0.6525 | 0.5411 | 0.7356 |
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+ | No log | 8.9333 | 134 | 0.5647 | 0.6449 | 0.5647 | 0.7514 |
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+ | No log | 9.0667 | 136 | 0.5841 | 0.6341 | 0.5841 | 0.7643 |
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+ | No log | 9.2 | 138 | 0.5972 | 0.6341 | 0.5972 | 0.7728 |
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+ | No log | 9.3333 | 140 | 0.5998 | 0.6341 | 0.5998 | 0.7745 |
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+ | No log | 9.4667 | 142 | 0.5996 | 0.6341 | 0.5996 | 0.7743 |
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+ | No log | 9.6 | 144 | 0.6022 | 0.6341 | 0.6022 | 0.7760 |
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+ | No log | 9.7333 | 146 | 0.5983 | 0.6341 | 0.5983 | 0.7735 |
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+ | No log | 9.8667 | 148 | 0.5937 | 0.6341 | 0.5937 | 0.7705 |
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+ | No log | 10.0 | 150 | 0.5936 | 0.6341 | 0.5936 | 0.7705 |
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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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+ "_name_or_path": "aubmindlab/bert-base-arabertv02",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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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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