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arabert_cross_organization_task7_fold6

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bert
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  1. README.md +137 -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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+ 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_cross_organization_task7_fold5
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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_cross_organization_task7_fold5
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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: 0.5800
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+ - Qwk: 0.7690
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+ - Mse: 0.5800
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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: 64
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+ - eval_batch_size: 64
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.125 | 2 | 3.1878 | 0.0032 | 3.1878 |
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+ | No log | 0.25 | 4 | 1.6075 | 0.1098 | 1.6075 |
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+ | No log | 0.375 | 6 | 1.1035 | 0.2670 | 1.1035 |
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+ | No log | 0.5 | 8 | 1.4112 | 0.3086 | 1.4112 |
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+ | No log | 0.625 | 10 | 1.3436 | 0.3880 | 1.3436 |
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+ | No log | 0.75 | 12 | 1.1181 | 0.3654 | 1.1181 |
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+ | No log | 0.875 | 14 | 0.8279 | 0.4164 | 0.8279 |
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+ | No log | 1.0 | 16 | 0.6795 | 0.4918 | 0.6795 |
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+ | No log | 1.125 | 18 | 0.6997 | 0.5370 | 0.6997 |
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+ | No log | 1.25 | 20 | 0.8208 | 0.6120 | 0.8208 |
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+ | No log | 1.375 | 22 | 0.7785 | 0.7348 | 0.7785 |
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+ | No log | 1.5 | 24 | 0.6388 | 0.7210 | 0.6388 |
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+ | No log | 1.625 | 26 | 0.6688 | 0.7365 | 0.6688 |
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+ | No log | 1.75 | 28 | 0.6507 | 0.7403 | 0.6507 |
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+ | No log | 1.875 | 30 | 0.5320 | 0.7356 | 0.5320 |
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+ | No log | 2.0 | 32 | 0.5254 | 0.7454 | 0.5254 |
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+ | No log | 2.125 | 34 | 0.5348 | 0.7325 | 0.5348 |
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+ | No log | 2.25 | 36 | 0.6139 | 0.7376 | 0.6139 |
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+ | No log | 2.375 | 38 | 0.6648 | 0.7474 | 0.6648 |
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+ | No log | 2.5 | 40 | 0.5894 | 0.7707 | 0.5894 |
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+ | No log | 2.625 | 42 | 0.5580 | 0.7530 | 0.5580 |
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+ | No log | 2.75 | 44 | 0.5824 | 0.7698 | 0.5824 |
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+ | No log | 2.875 | 46 | 0.6444 | 0.7641 | 0.6444 |
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+ | No log | 3.0 | 48 | 0.5327 | 0.7206 | 0.5327 |
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+ | No log | 3.125 | 50 | 0.5871 | 0.7517 | 0.5871 |
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+ | No log | 3.25 | 52 | 0.5331 | 0.7366 | 0.5331 |
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+ | No log | 3.375 | 54 | 0.6130 | 0.7665 | 0.6130 |
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+ | No log | 3.5 | 56 | 0.5889 | 0.7650 | 0.5889 |
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+ | No log | 3.625 | 58 | 0.5848 | 0.7758 | 0.5848 |
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+ | No log | 3.75 | 60 | 0.7089 | 0.7737 | 0.7089 |
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+ | No log | 3.875 | 62 | 0.7846 | 0.7865 | 0.7846 |
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+ | No log | 4.0 | 64 | 0.6552 | 0.7793 | 0.6552 |
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+ | No log | 4.125 | 66 | 0.5020 | 0.7284 | 0.5020 |
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+ | No log | 4.25 | 68 | 0.5170 | 0.7322 | 0.5170 |
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+ | No log | 4.375 | 70 | 0.5877 | 0.7481 | 0.5877 |
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+ | No log | 4.5 | 72 | 0.5700 | 0.7494 | 0.5700 |
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+ | No log | 4.625 | 74 | 0.5147 | 0.7380 | 0.5147 |
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+ | No log | 4.75 | 76 | 0.5942 | 0.7664 | 0.5942 |
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+ | No log | 4.875 | 78 | 0.6564 | 0.7710 | 0.6564 |
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+ | No log | 5.0 | 80 | 0.6565 | 0.7710 | 0.6565 |
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+ | No log | 5.125 | 82 | 0.6572 | 0.7802 | 0.6572 |
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+ | No log | 5.25 | 84 | 0.6860 | 0.7836 | 0.6860 |
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+ | No log | 5.375 | 86 | 0.6265 | 0.7687 | 0.6265 |
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+ | No log | 5.5 | 88 | 0.5116 | 0.7530 | 0.5116 |
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+ | No log | 5.625 | 90 | 0.5026 | 0.7603 | 0.5026 |
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+ | No log | 5.75 | 92 | 0.5588 | 0.7542 | 0.5588 |
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+ | No log | 5.875 | 94 | 0.6752 | 0.7902 | 0.6752 |
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+ | No log | 6.0 | 96 | 0.7891 | 0.7984 | 0.7891 |
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+ | No log | 6.125 | 98 | 0.7038 | 0.7947 | 0.7038 |
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+ | No log | 6.25 | 100 | 0.5797 | 0.7519 | 0.5797 |
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+ | No log | 6.375 | 102 | 0.5895 | 0.7634 | 0.5895 |
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+ | No log | 6.5 | 104 | 0.6498 | 0.7782 | 0.6498 |
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+ | No log | 6.625 | 106 | 0.5864 | 0.7623 | 0.5864 |
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+ | No log | 6.75 | 108 | 0.5259 | 0.7227 | 0.5259 |
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+ | No log | 6.875 | 110 | 0.5133 | 0.7040 | 0.5133 |
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+ | No log | 7.0 | 112 | 0.5219 | 0.7120 | 0.5219 |
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+ | No log | 7.125 | 114 | 0.5822 | 0.7464 | 0.5822 |
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+ | No log | 7.25 | 116 | 0.6526 | 0.7676 | 0.6526 |
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+ | No log | 7.375 | 118 | 0.6628 | 0.7818 | 0.6628 |
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+ | No log | 7.5 | 120 | 0.6080 | 0.7726 | 0.6080 |
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+ | No log | 7.625 | 122 | 0.5645 | 0.7416 | 0.5645 |
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+ | No log | 7.75 | 124 | 0.5592 | 0.7409 | 0.5592 |
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+ | No log | 7.875 | 126 | 0.5637 | 0.7527 | 0.5637 |
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+ | No log | 8.0 | 128 | 0.5640 | 0.7522 | 0.5640 |
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+ | No log | 8.125 | 130 | 0.5743 | 0.7522 | 0.5743 |
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+ | No log | 8.25 | 132 | 0.6128 | 0.7551 | 0.6128 |
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+ | No log | 8.375 | 134 | 0.6083 | 0.7551 | 0.6083 |
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+ | No log | 8.5 | 136 | 0.5761 | 0.7661 | 0.5761 |
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+ | No log | 8.625 | 138 | 0.5522 | 0.7596 | 0.5522 |
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+ | No log | 8.75 | 140 | 0.5418 | 0.7580 | 0.5418 |
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+ | No log | 8.875 | 142 | 0.5541 | 0.7626 | 0.5541 |
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+ | No log | 9.0 | 144 | 0.5890 | 0.7591 | 0.5890 |
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+ | No log | 9.125 | 146 | 0.6347 | 0.7704 | 0.6347 |
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+ | No log | 9.25 | 148 | 0.6524 | 0.7643 | 0.6524 |
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+ | No log | 9.375 | 150 | 0.6441 | 0.7643 | 0.6441 |
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+ | No log | 9.5 | 152 | 0.6196 | 0.7597 | 0.6196 |
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+ | No log | 9.625 | 154 | 0.5988 | 0.7575 | 0.5988 |
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+ | No log | 9.75 | 156 | 0.5835 | 0.7591 | 0.5835 |
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+ | No log | 9.875 | 158 | 0.5803 | 0.7672 | 0.5803 |
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+ | No log | 10.0 | 160 | 0.5800 | 0.7690 | 0.5800 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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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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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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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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+ "pad_token_id": 0,
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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": "4.44.0",
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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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