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Arabic_FineTuningAraBERT_AugV0_k5_task1_organization_fold1

Text Classification
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bert
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  1. README.md +249 -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: Arabic_FineTuningAraBERT_AugV0_k5_task1_organization_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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+ # Arabic_FineTuningAraBERT_AugV0_k5_task1_organization_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: 0.7040
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+ - Qwk: 0.7342
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+ - Mse: 0.7040
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+ - Rmse: 0.8391
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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 | 0.0526 | 2 | 4.9902 | -0.0064 | 4.9902 | 2.2339 |
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+ | No log | 0.1053 | 4 | 2.6556 | 0.0759 | 2.6556 | 1.6296 |
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+ | No log | 0.1579 | 6 | 1.5564 | 0.2523 | 1.5564 | 1.2475 |
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+ | No log | 0.2105 | 8 | 1.3162 | 0.0950 | 1.3162 | 1.1473 |
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+ | No log | 0.2632 | 10 | 1.2534 | 0.2791 | 1.2534 | 1.1196 |
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+ | No log | 0.3158 | 12 | 1.2352 | 0.0950 | 1.2352 | 1.1114 |
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+ | No log | 0.3684 | 14 | 1.2817 | 0.0742 | 1.2817 | 1.1321 |
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+ | No log | 0.4211 | 16 | 1.3246 | 0.0742 | 1.3246 | 1.1509 |
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+ | No log | 0.4737 | 18 | 1.3278 | 0.0742 | 1.3278 | 1.1523 |
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+ | No log | 0.5263 | 20 | 1.2961 | 0.2674 | 1.2961 | 1.1384 |
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+ | No log | 0.5789 | 22 | 1.2532 | 0.5093 | 1.2532 | 1.1194 |
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+ | No log | 0.6316 | 24 | 1.1332 | 0.5095 | 1.1332 | 1.0645 |
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+ | No log | 0.6842 | 26 | 1.0417 | 0.4867 | 1.0417 | 1.0207 |
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+ | No log | 0.7368 | 28 | 1.0181 | 0.4639 | 1.0181 | 1.0090 |
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+ | No log | 0.7895 | 30 | 0.9829 | 0.4639 | 0.9829 | 0.9914 |
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+ | No log | 0.8421 | 32 | 1.0157 | 0.3947 | 1.0157 | 1.0078 |
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+ | No log | 0.8947 | 34 | 1.0145 | 0.2791 | 1.0145 | 1.0072 |
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+ | No log | 0.9474 | 36 | 0.9102 | 0.5095 | 0.9102 | 0.9541 |
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+ | No log | 1.0 | 38 | 0.8194 | 0.5323 | 0.8194 | 0.9052 |
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+ | No log | 1.0526 | 40 | 0.7790 | 0.5760 | 0.7790 | 0.8826 |
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+ | No log | 1.1053 | 42 | 0.7440 | 0.5760 | 0.7440 | 0.8625 |
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+ | No log | 1.1579 | 44 | 0.7483 | 0.5760 | 0.7483 | 0.8650 |
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+ | No log | 1.2105 | 46 | 0.7405 | 0.5323 | 0.7405 | 0.8606 |
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+ | No log | 1.2632 | 48 | 0.7711 | 0.4844 | 0.7711 | 0.8781 |
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+ | No log | 1.3158 | 50 | 0.7997 | 0.4844 | 0.7997 | 0.8942 |
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+ | No log | 1.3684 | 52 | 0.7846 | 0.5095 | 0.7846 | 0.8857 |
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+ | No log | 1.4211 | 54 | 0.7970 | 0.4867 | 0.7970 | 0.8927 |
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+ | No log | 1.4737 | 56 | 0.8132 | 0.4867 | 0.8132 | 0.9018 |
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+ | No log | 1.5263 | 58 | 0.8494 | 0.4650 | 0.8494 | 0.9216 |
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+ | No log | 1.5789 | 60 | 0.8732 | 0.4855 | 0.8732 | 0.9344 |
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+ | No log | 1.6316 | 62 | 0.9389 | 0.5084 | 0.9389 | 0.9690 |
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+ | No log | 1.6842 | 64 | 0.9129 | 0.4844 | 0.9129 | 0.9555 |
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+ | No log | 1.7368 | 66 | 0.7840 | 0.6503 | 0.7840 | 0.8854 |
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+ | No log | 1.7895 | 68 | 0.6121 | 0.6595 | 0.6121 | 0.7824 |
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+ | No log | 1.8421 | 70 | 0.7255 | 0.5435 | 0.7255 | 0.8517 |
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+ | No log | 1.8947 | 72 | 0.7311 | 0.5783 | 0.7311 | 0.8550 |
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+ | No log | 1.9474 | 74 | 0.6430 | 0.6407 | 0.6430 | 0.8019 |
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+ | No log | 2.0 | 76 | 0.5832 | 0.6787 | 0.5832 | 0.7637 |
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+ | No log | 2.0526 | 78 | 0.6522 | 0.5906 | 0.6522 | 0.8076 |
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+ | No log | 2.1053 | 80 | 0.8273 | 0.5304 | 0.8273 | 0.9096 |
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+ | No log | 2.1579 | 82 | 0.9320 | 0.4191 | 0.9320 | 0.9654 |
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+ | No log | 2.2105 | 84 | 1.2347 | 0.2651 | 1.2347 | 1.1112 |
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+ | No log | 2.2632 | 86 | 1.5619 | 0.1463 | 1.5619 | 1.2497 |
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+ | No log | 2.3158 | 88 | 1.5629 | 0.1463 | 1.5629 | 1.2502 |
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+ | No log | 2.3684 | 90 | 1.2954 | 0.3893 | 1.2954 | 1.1382 |
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+ | No log | 2.4211 | 92 | 0.9802 | 0.6190 | 0.9802 | 0.9901 |
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+ | No log | 2.4737 | 94 | 0.7549 | 0.5085 | 0.7549 | 0.8688 |
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+ | No log | 2.5263 | 96 | 0.6865 | 0.6151 | 0.6865 | 0.8286 |
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+ | No log | 2.5789 | 98 | 0.6663 | 0.6151 | 0.6663 | 0.8162 |
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+ | No log | 2.6316 | 100 | 0.6932 | 0.5933 | 0.6932 | 0.8326 |
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+ | No log | 2.6842 | 102 | 0.7180 | 0.5933 | 0.7180 | 0.8474 |
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+ | No log | 2.7368 | 104 | 0.6878 | 0.5933 | 0.6878 | 0.8293 |
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+ | No log | 2.7895 | 106 | 0.6212 | 0.6517 | 0.6212 | 0.7881 |
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+ | No log | 2.8421 | 108 | 0.6090 | 0.6360 | 0.6090 | 0.7804 |
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+ | No log | 2.8947 | 110 | 0.6280 | 0.6461 | 0.6280 | 0.7924 |
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+ | No log | 2.9474 | 112 | 0.6547 | 0.6921 | 0.6547 | 0.8091 |
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+ | No log | 3.0 | 114 | 0.6811 | 0.6712 | 0.6811 | 0.8253 |
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+ | No log | 3.0526 | 116 | 0.6984 | 0.6915 | 0.6984 | 0.8357 |
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+ | No log | 3.1053 | 118 | 0.7394 | 0.6915 | 0.7394 | 0.8599 |
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+ | No log | 3.1579 | 120 | 0.7715 | 0.6143 | 0.7715 | 0.8783 |
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+ | No log | 3.2105 | 122 | 0.7779 | 0.6143 | 0.7779 | 0.8820 |
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+ | No log | 3.2632 | 124 | 0.7490 | 0.6100 | 0.7490 | 0.8654 |
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+ | No log | 3.3158 | 126 | 0.6973 | 0.6107 | 0.6973 | 0.8351 |
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+ | No log | 3.3684 | 128 | 0.6915 | 0.6067 | 0.6915 | 0.8316 |
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+ | No log | 3.4211 | 130 | 0.7481 | 0.6842 | 0.7481 | 0.8649 |
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+ | No log | 3.4737 | 132 | 0.8667 | 0.7244 | 0.8667 | 0.9309 |
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+ | No log | 3.5263 | 134 | 0.8702 | 0.7692 | 0.8702 | 0.9329 |
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+ | No log | 3.5789 | 136 | 0.7801 | 0.6813 | 0.7801 | 0.8832 |
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+ | No log | 3.6316 | 138 | 0.7194 | 0.6698 | 0.7194 | 0.8482 |
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+ | No log | 3.6842 | 140 | 0.7478 | 0.6698 | 0.7478 | 0.8647 |
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+ | No log | 3.7368 | 142 | 0.7713 | 0.6698 | 0.7713 | 0.8782 |
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+ | No log | 3.7895 | 144 | 0.8213 | 0.6922 | 0.8213 | 0.9063 |
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+ | No log | 3.8421 | 146 | 0.7985 | 0.6922 | 0.7985 | 0.8936 |
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+ | No log | 3.8947 | 148 | 0.6945 | 0.7614 | 0.6945 | 0.8334 |
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+ | No log | 3.9474 | 150 | 0.6209 | 0.7696 | 0.6209 | 0.7880 |
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+ | No log | 4.0 | 152 | 0.5796 | 0.7449 | 0.5796 | 0.7613 |
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+ | No log | 4.0526 | 154 | 0.5634 | 0.7114 | 0.5634 | 0.7506 |
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+ | No log | 4.1053 | 156 | 0.5716 | 0.6602 | 0.5716 | 0.7561 |
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+ | No log | 4.1579 | 158 | 0.6233 | 0.7258 | 0.6233 | 0.7895 |
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+ | No log | 4.2105 | 160 | 0.7196 | 0.7704 | 0.7196 | 0.8483 |
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+ | No log | 4.2632 | 162 | 0.8001 | 0.8349 | 0.8001 | 0.8945 |
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+ | No log | 4.3158 | 164 | 0.7363 | 0.8349 | 0.7363 | 0.8581 |
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+ | No log | 4.3684 | 166 | 0.6284 | 0.7439 | 0.6284 | 0.7927 |
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+ | No log | 4.4211 | 168 | 0.5769 | 0.6968 | 0.5769 | 0.7596 |
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+ | No log | 4.4737 | 170 | 0.5553 | 0.6511 | 0.5553 | 0.7452 |
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+ | No log | 4.5263 | 172 | 0.5505 | 0.6516 | 0.5505 | 0.7420 |
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+ | No log | 4.5789 | 174 | 0.5505 | 0.6968 | 0.5505 | 0.7419 |
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+ | No log | 4.6316 | 176 | 0.6729 | 0.7610 | 0.6729 | 0.8203 |
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+ | No log | 4.6842 | 178 | 0.9648 | 0.7692 | 0.9648 | 0.9823 |
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+ | No log | 4.7368 | 180 | 1.0634 | 0.7513 | 1.0634 | 1.0312 |
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+ | No log | 4.7895 | 182 | 0.9688 | 0.6830 | 0.9688 | 0.9843 |
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+ | No log | 4.8421 | 184 | 0.8465 | 0.6564 | 0.8465 | 0.9200 |
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+ | No log | 4.8947 | 186 | 0.7782 | 0.5689 | 0.7782 | 0.8822 |
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+ | No log | 4.9474 | 188 | 0.6968 | 0.5666 | 0.6968 | 0.8347 |
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+ | No log | 5.0 | 190 | 0.6381 | 0.7003 | 0.6381 | 0.7988 |
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+ | No log | 5.0526 | 192 | 0.6466 | 0.7073 | 0.6466 | 0.8041 |
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+ | No log | 5.1053 | 194 | 0.6919 | 0.7346 | 0.6919 | 0.8318 |
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+ | No log | 5.1579 | 196 | 0.7415 | 0.7612 | 0.7415 | 0.8611 |
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+ | No log | 5.2105 | 198 | 0.7643 | 0.7162 | 0.7643 | 0.8742 |
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+ | No log | 5.2632 | 200 | 0.7251 | 0.7254 | 0.7251 | 0.8515 |
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+ | No log | 5.3158 | 202 | 0.6489 | 0.7342 | 0.6489 | 0.8055 |
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+ | No log | 5.3684 | 204 | 0.6266 | 0.7258 | 0.6266 | 0.7916 |
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+ | No log | 5.4211 | 206 | 0.6281 | 0.7176 | 0.6281 | 0.7925 |
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+ | No log | 5.4737 | 208 | 0.6054 | 0.6829 | 0.6054 | 0.7781 |
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+ | No log | 5.5263 | 210 | 0.6022 | 0.7003 | 0.6022 | 0.7760 |
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+ | No log | 5.5789 | 212 | 0.6086 | 0.7073 | 0.6086 | 0.7801 |
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+ | No log | 5.6316 | 214 | 0.6166 | 0.6775 | 0.6166 | 0.7852 |
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+ | No log | 5.6842 | 216 | 0.6785 | 0.6842 | 0.6785 | 0.8237 |
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+ | No log | 5.7368 | 218 | 0.7064 | 0.6915 | 0.7064 | 0.8405 |
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+ | No log | 5.7895 | 220 | 0.7448 | 0.6915 | 0.7448 | 0.8630 |
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+ | No log | 5.8421 | 222 | 0.7807 | 0.7623 | 0.7807 | 0.8836 |
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+ | No log | 5.8947 | 224 | 0.7823 | 0.7623 | 0.7823 | 0.8845 |
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+ | No log | 5.9474 | 226 | 0.7210 | 0.6915 | 0.7210 | 0.8491 |
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+ | No log | 6.0 | 228 | 0.6592 | 0.6100 | 0.6592 | 0.8119 |
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+ | No log | 6.0526 | 230 | 0.6322 | 0.5633 | 0.6322 | 0.7951 |
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+ | No log | 6.1053 | 232 | 0.6303 | 0.5633 | 0.6303 | 0.7939 |
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+ | No log | 6.1579 | 234 | 0.6395 | 0.6533 | 0.6395 | 0.7997 |
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+ | No log | 6.2105 | 236 | 0.6617 | 0.6842 | 0.6617 | 0.8135 |
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+ | No log | 6.2632 | 238 | 0.6774 | 0.6842 | 0.6774 | 0.8230 |
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+ | No log | 6.3158 | 240 | 0.6861 | 0.7149 | 0.6861 | 0.8283 |
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+ | No log | 6.3684 | 242 | 0.6752 | 0.7149 | 0.6752 | 0.8217 |
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+ | No log | 6.4211 | 244 | 0.6591 | 0.7149 | 0.6591 | 0.8118 |
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+ | No log | 6.4737 | 246 | 0.6304 | 0.6713 | 0.6304 | 0.7940 |
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+ | No log | 6.5263 | 248 | 0.6338 | 0.7003 | 0.6338 | 0.7961 |
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+ | No log | 6.5789 | 250 | 0.6668 | 0.7232 | 0.6668 | 0.8166 |
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+ | No log | 6.6316 | 252 | 0.6705 | 0.7232 | 0.6705 | 0.8188 |
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+ | No log | 6.6842 | 254 | 0.6388 | 0.7003 | 0.6388 | 0.7993 |
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+ | No log | 6.7368 | 256 | 0.6242 | 0.6713 | 0.6242 | 0.7901 |
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+ | No log | 6.7895 | 258 | 0.6146 | 0.6713 | 0.6146 | 0.7839 |
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+ | No log | 6.8421 | 260 | 0.6257 | 0.6775 | 0.6257 | 0.7910 |
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+ | No log | 6.8947 | 262 | 0.6625 | 0.7149 | 0.6625 | 0.8139 |
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+ | No log | 6.9474 | 264 | 0.6926 | 0.7149 | 0.6926 | 0.8322 |
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+ | No log | 7.0 | 266 | 0.7377 | 0.7232 | 0.7377 | 0.8589 |
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+ | No log | 7.0526 | 268 | 0.7486 | 0.7232 | 0.7486 | 0.8652 |
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+ | No log | 7.1053 | 270 | 0.7105 | 0.7149 | 0.7105 | 0.8429 |
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+ | No log | 7.1579 | 272 | 0.6921 | 0.7149 | 0.6921 | 0.8320 |
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+ | No log | 7.2105 | 274 | 0.6926 | 0.7149 | 0.6926 | 0.8322 |
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+ | No log | 7.2632 | 276 | 0.7078 | 0.7149 | 0.7078 | 0.8413 |
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+ | No log | 7.3158 | 278 | 0.7037 | 0.7149 | 0.7037 | 0.8389 |
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+ | No log | 7.3684 | 280 | 0.6827 | 0.7149 | 0.6827 | 0.8262 |
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+ | No log | 7.4211 | 282 | 0.6681 | 0.7149 | 0.6681 | 0.8174 |
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+ | No log | 7.4737 | 284 | 0.6462 | 0.7149 | 0.6462 | 0.8039 |
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+ | No log | 7.5263 | 286 | 0.6401 | 0.7149 | 0.6401 | 0.8000 |
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+ | No log | 7.5789 | 288 | 0.6503 | 0.7149 | 0.6503 | 0.8064 |
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+ | No log | 7.6316 | 290 | 0.6801 | 0.7232 | 0.6801 | 0.8247 |
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+ | No log | 7.6842 | 292 | 0.7036 | 0.7232 | 0.7036 | 0.8388 |
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+ | No log | 7.7368 | 294 | 0.7161 | 0.7823 | 0.7161 | 0.8462 |
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+ | No log | 7.7895 | 296 | 0.7539 | 0.8019 | 0.7539 | 0.8683 |
200
+ | No log | 7.8421 | 298 | 0.7832 | 0.8019 | 0.7832 | 0.8850 |
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+ | No log | 7.8947 | 300 | 0.8215 | 0.8019 | 0.8215 | 0.9064 |
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+ | No log | 7.9474 | 302 | 0.8357 | 0.7426 | 0.8357 | 0.9142 |
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+ | No log | 8.0 | 304 | 0.8187 | 0.7426 | 0.8187 | 0.9048 |
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+ | No log | 8.0526 | 306 | 0.7831 | 0.7426 | 0.7831 | 0.8849 |
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+ | No log | 8.1053 | 308 | 0.7235 | 0.7717 | 0.7235 | 0.8506 |
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+ | No log | 8.1579 | 310 | 0.6846 | 0.7149 | 0.6846 | 0.8274 |
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+ | No log | 8.2105 | 312 | 0.6702 | 0.7073 | 0.6702 | 0.8187 |
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+ | No log | 8.2632 | 314 | 0.6703 | 0.7073 | 0.6703 | 0.8187 |
209
+ | No log | 8.3158 | 316 | 0.6836 | 0.7149 | 0.6836 | 0.8268 |
210
+ | No log | 8.3684 | 318 | 0.7035 | 0.7717 | 0.7035 | 0.8388 |
211
+ | No log | 8.4211 | 320 | 0.7167 | 0.7823 | 0.7167 | 0.8466 |
212
+ | No log | 8.4737 | 322 | 0.7308 | 0.8019 | 0.7308 | 0.8549 |
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+ | No log | 8.5263 | 324 | 0.7273 | 0.8019 | 0.7273 | 0.8528 |
214
+ | No log | 8.5789 | 326 | 0.7063 | 0.8019 | 0.7063 | 0.8404 |
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+ | No log | 8.6316 | 328 | 0.6804 | 0.7717 | 0.6804 | 0.8248 |
216
+ | No log | 8.6842 | 330 | 0.6671 | 0.7986 | 0.6671 | 0.8168 |
217
+ | No log | 8.7368 | 332 | 0.6417 | 0.7355 | 0.6417 | 0.8011 |
218
+ | No log | 8.7895 | 334 | 0.6267 | 0.7618 | 0.6267 | 0.7916 |
219
+ | No log | 8.8421 | 336 | 0.6257 | 0.7449 | 0.6257 | 0.7910 |
220
+ | No log | 8.8947 | 338 | 0.6393 | 0.7355 | 0.6393 | 0.7996 |
221
+ | No log | 8.9474 | 340 | 0.6636 | 0.7358 | 0.6636 | 0.8146 |
222
+ | No log | 9.0 | 342 | 0.6832 | 0.7264 | 0.6832 | 0.8266 |
223
+ | No log | 9.0526 | 344 | 0.7000 | 0.7342 | 0.7000 | 0.8367 |
224
+ | No log | 9.1053 | 346 | 0.7061 | 0.7342 | 0.7061 | 0.8403 |
225
+ | No log | 9.1579 | 348 | 0.7049 | 0.7342 | 0.7049 | 0.8396 |
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+ | No log | 9.2105 | 350 | 0.7023 | 0.7264 | 0.7023 | 0.8380 |
227
+ | No log | 9.2632 | 352 | 0.6957 | 0.7264 | 0.6957 | 0.8341 |
228
+ | No log | 9.3158 | 354 | 0.6889 | 0.7264 | 0.6889 | 0.8300 |
229
+ | No log | 9.3684 | 356 | 0.6826 | 0.7095 | 0.6826 | 0.8262 |
230
+ | No log | 9.4211 | 358 | 0.6796 | 0.7095 | 0.6796 | 0.8244 |
231
+ | No log | 9.4737 | 360 | 0.6784 | 0.7095 | 0.6784 | 0.8237 |
232
+ | No log | 9.5263 | 362 | 0.6763 | 0.7095 | 0.6763 | 0.8224 |
233
+ | No log | 9.5789 | 364 | 0.6774 | 0.7095 | 0.6774 | 0.8231 |
234
+ | No log | 9.6316 | 366 | 0.6796 | 0.7095 | 0.6796 | 0.8243 |
235
+ | No log | 9.6842 | 368 | 0.6857 | 0.7095 | 0.6857 | 0.8281 |
236
+ | No log | 9.7368 | 370 | 0.6933 | 0.7264 | 0.6933 | 0.8326 |
237
+ | No log | 9.7895 | 372 | 0.6977 | 0.7264 | 0.6977 | 0.8353 |
238
+ | No log | 9.8421 | 374 | 0.7015 | 0.7342 | 0.7015 | 0.8376 |
239
+ | No log | 9.8947 | 376 | 0.7030 | 0.7342 | 0.7030 | 0.8385 |
240
+ | No log | 9.9474 | 378 | 0.7039 | 0.7342 | 0.7039 | 0.8390 |
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+ | No log | 10.0 | 380 | 0.7040 | 0.7342 | 0.7040 | 0.8391 |
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+
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+
244
+ ### Framework versions
245
+
246
+ - Transformers 4.44.2
247
+ - Pytorch 2.4.0+cu118
248
+ - Datasets 2.21.0
249
+ - Tokenizers 0.19.1
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