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arabert_cross_organization_task6_fold2

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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_task6_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_cross_organization_task6_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: 0.8118
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+ - Qwk: 0.4006
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+ - Mse: 0.8118
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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 | 3.3727 | 0.0150 | 3.3727 |
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+ | No log | 0.25 | 4 | 1.5579 | 0.0418 | 1.5579 |
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+ | No log | 0.375 | 6 | 0.8889 | 0.1524 | 0.8889 |
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+ | No log | 0.5 | 8 | 0.7988 | 0.2568 | 0.7988 |
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+ | No log | 0.625 | 10 | 0.9045 | 0.2445 | 0.9045 |
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+ | No log | 0.75 | 12 | 1.3396 | 0.2180 | 1.3396 |
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+ | No log | 0.875 | 14 | 0.8588 | 0.3519 | 0.8588 |
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+ | No log | 1.0 | 16 | 0.5574 | 0.5527 | 0.5574 |
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+ | No log | 1.125 | 18 | 0.5553 | 0.5503 | 0.5553 |
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+ | No log | 1.25 | 20 | 0.8079 | 0.3672 | 0.8079 |
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+ | No log | 1.375 | 22 | 1.3052 | 0.2456 | 1.3052 |
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+ | No log | 1.5 | 24 | 0.9198 | 0.3104 | 0.9198 |
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+ | No log | 1.625 | 26 | 0.5541 | 0.5285 | 0.5541 |
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+ | No log | 1.75 | 28 | 0.5512 | 0.5290 | 0.5512 |
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+ | No log | 1.875 | 30 | 0.6121 | 0.4768 | 0.6121 |
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+ | No log | 2.0 | 32 | 0.8609 | 0.3129 | 0.8609 |
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+ | No log | 2.125 | 34 | 0.9886 | 0.2731 | 0.9886 |
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+ | No log | 2.25 | 36 | 0.8076 | 0.3795 | 0.8076 |
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+ | No log | 2.375 | 38 | 0.6513 | 0.4757 | 0.6513 |
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+ | No log | 2.5 | 40 | 0.6322 | 0.4656 | 0.6322 |
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+ | No log | 2.625 | 42 | 0.8239 | 0.3721 | 0.8239 |
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+ | No log | 2.75 | 44 | 0.8173 | 0.3657 | 0.8173 |
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+ | No log | 2.875 | 46 | 0.5953 | 0.4602 | 0.5953 |
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+ | No log | 3.0 | 48 | 0.4998 | 0.5491 | 0.4998 |
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+ | No log | 3.125 | 50 | 0.4994 | 0.5388 | 0.4994 |
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+ | No log | 3.25 | 52 | 0.5985 | 0.4558 | 0.5985 |
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+ | No log | 3.375 | 54 | 0.8360 | 0.3362 | 0.8360 |
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+ | No log | 3.5 | 56 | 0.7638 | 0.3694 | 0.7638 |
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+ | No log | 3.625 | 58 | 0.5758 | 0.4882 | 0.5758 |
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+ | No log | 3.75 | 60 | 0.5627 | 0.5091 | 0.5627 |
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+ | No log | 3.875 | 62 | 0.6464 | 0.4616 | 0.6464 |
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+ | No log | 4.0 | 64 | 0.7995 | 0.3939 | 0.7995 |
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+ | No log | 4.125 | 66 | 0.8090 | 0.4038 | 0.8090 |
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+ | No log | 4.25 | 68 | 0.7637 | 0.4270 | 0.7637 |
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+ | No log | 4.375 | 70 | 0.6773 | 0.4614 | 0.6773 |
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+ | No log | 4.5 | 72 | 0.6071 | 0.4596 | 0.6071 |
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+ | No log | 4.625 | 74 | 0.6404 | 0.4305 | 0.6404 |
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+ | No log | 4.75 | 76 | 0.7606 | 0.3850 | 0.7606 |
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+ | No log | 4.875 | 78 | 0.7167 | 0.4134 | 0.7167 |
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+ | No log | 5.0 | 80 | 0.6509 | 0.4134 | 0.6509 |
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+ | No log | 5.125 | 82 | 0.6798 | 0.4551 | 0.6798 |
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+ | No log | 5.25 | 84 | 0.7948 | 0.3986 | 0.7948 |
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+ | No log | 5.375 | 86 | 0.8620 | 0.3562 | 0.8620 |
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+ | No log | 5.5 | 88 | 0.8876 | 0.3559 | 0.8876 |
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+ | No log | 5.625 | 90 | 0.7515 | 0.4248 | 0.7515 |
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+ | No log | 5.75 | 92 | 0.7108 | 0.4577 | 0.7108 |
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+ | No log | 5.875 | 94 | 0.7862 | 0.4061 | 0.7862 |
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+ | No log | 6.0 | 96 | 0.8416 | 0.3952 | 0.8416 |
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+ | No log | 6.125 | 98 | 0.7997 | 0.4122 | 0.7997 |
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+ | No log | 6.25 | 100 | 0.8258 | 0.3932 | 0.8258 |
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+ | No log | 6.375 | 102 | 0.7838 | 0.4124 | 0.7838 |
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+ | No log | 6.5 | 104 | 0.7944 | 0.4076 | 0.7944 |
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+ | No log | 6.625 | 106 | 0.8231 | 0.3830 | 0.8231 |
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+ | No log | 6.75 | 108 | 0.7694 | 0.4134 | 0.7694 |
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+ | No log | 6.875 | 110 | 0.7985 | 0.3792 | 0.7985 |
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+ | No log | 7.0 | 112 | 0.8356 | 0.3632 | 0.8356 |
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+ | No log | 7.125 | 114 | 0.8848 | 0.3450 | 0.8848 |
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+ | No log | 7.25 | 116 | 0.8497 | 0.3620 | 0.8497 |
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+ | No log | 7.375 | 118 | 0.7434 | 0.4183 | 0.7434 |
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+ | No log | 7.5 | 120 | 0.7023 | 0.4781 | 0.7023 |
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+ | No log | 7.625 | 122 | 0.7498 | 0.4429 | 0.7498 |
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+ | No log | 7.75 | 124 | 0.9144 | 0.3785 | 0.9144 |
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+ | No log | 7.875 | 126 | 1.0497 | 0.3405 | 1.0497 |
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+ | No log | 8.0 | 128 | 1.0554 | 0.3506 | 1.0554 |
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+ | No log | 8.125 | 130 | 0.9425 | 0.3693 | 0.9425 |
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+ | No log | 8.25 | 132 | 0.8329 | 0.4324 | 0.8329 |
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+ | No log | 8.375 | 134 | 0.7552 | 0.4623 | 0.7552 |
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+ | No log | 8.5 | 136 | 0.7557 | 0.4559 | 0.7557 |
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+ | No log | 8.625 | 138 | 0.7684 | 0.4526 | 0.7684 |
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+ | No log | 8.75 | 140 | 0.8092 | 0.4060 | 0.8092 |
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+ | No log | 8.875 | 142 | 0.8508 | 0.3842 | 0.8508 |
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+ | No log | 9.0 | 144 | 0.8605 | 0.3817 | 0.8605 |
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+ | No log | 9.125 | 146 | 0.8641 | 0.3822 | 0.8641 |
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+ | No log | 9.25 | 148 | 0.8326 | 0.3939 | 0.8326 |
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+ | No log | 9.375 | 150 | 0.8206 | 0.3946 | 0.8206 |
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+ | No log | 9.5 | 152 | 0.7988 | 0.4013 | 0.7988 |
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+ | No log | 9.625 | 154 | 0.7932 | 0.4040 | 0.7932 |
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+ | No log | 9.75 | 156 | 0.7973 | 0.4040 | 0.7973 |
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+ | No log | 9.875 | 158 | 0.8061 | 0.4006 | 0.8061 |
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+ | No log | 10.0 | 160 | 0.8118 | 0.4006 | 0.8118 |
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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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