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ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task7_organization

Text Classification
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bert
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  1. README.md +259 -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: ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_task7_organization
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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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+ # ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_task7_organization
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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: 0.5407
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+ - Qwk: 0.4925
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+ - Mse: 0.5407
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+ - Rmse: 0.7353
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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: 100
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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 | 0.5 | 2 | 2.5845 | -0.0593 | 2.5845 | 1.6076 |
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+ | No log | 1.0 | 4 | 1.3569 | 0.0986 | 1.3569 | 1.1649 |
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+ | No log | 1.5 | 6 | 1.2280 | -0.1355 | 1.2280 | 1.1082 |
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+ | No log | 2.0 | 8 | 1.1048 | 0.0728 | 1.1048 | 1.0511 |
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+ | No log | 2.5 | 10 | 0.9368 | 0.1110 | 0.9368 | 0.9679 |
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+ | No log | 3.0 | 12 | 0.8520 | 0.1867 | 0.8520 | 0.9230 |
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+ | No log | 3.5 | 14 | 0.9121 | 0.1911 | 0.9121 | 0.9551 |
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+ | No log | 4.0 | 16 | 0.7377 | 0.2063 | 0.7377 | 0.8589 |
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+ | No log | 4.5 | 18 | 0.6918 | 0.1714 | 0.6918 | 0.8318 |
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+ | No log | 5.0 | 20 | 0.7329 | 0.2051 | 0.7329 | 0.8561 |
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+ | No log | 5.5 | 22 | 0.8297 | 0.2584 | 0.8297 | 0.9109 |
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+ | No log | 6.0 | 24 | 0.6639 | 0.3530 | 0.6639 | 0.8148 |
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+ | No log | 6.5 | 26 | 0.8673 | 0.2939 | 0.8673 | 0.9313 |
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+ | No log | 7.0 | 28 | 0.8278 | 0.2836 | 0.8278 | 0.9098 |
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+ | No log | 7.5 | 30 | 0.6791 | 0.3945 | 0.6791 | 0.8241 |
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+ | No log | 8.0 | 32 | 0.6940 | 0.4126 | 0.6940 | 0.8331 |
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+ | No log | 8.5 | 34 | 0.6705 | 0.4314 | 0.6705 | 0.8188 |
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+ | No log | 9.0 | 36 | 0.7944 | 0.3194 | 0.7944 | 0.8913 |
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+ | No log | 9.5 | 38 | 0.8790 | 0.2252 | 0.8790 | 0.9375 |
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+ | No log | 10.0 | 40 | 0.6787 | 0.4158 | 0.6787 | 0.8238 |
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+ | No log | 10.5 | 42 | 0.6072 | 0.4504 | 0.6072 | 0.7792 |
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+ | No log | 11.0 | 44 | 0.6627 | 0.3958 | 0.6627 | 0.8141 |
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+ | No log | 11.5 | 46 | 0.8368 | 0.2658 | 0.8368 | 0.9147 |
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+ | No log | 12.0 | 48 | 0.6745 | 0.4923 | 0.6745 | 0.8213 |
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+ | No log | 12.5 | 50 | 0.6929 | 0.4112 | 0.6929 | 0.8324 |
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+ | No log | 13.0 | 52 | 0.9290 | 0.2977 | 0.9290 | 0.9639 |
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+ | No log | 13.5 | 54 | 0.8236 | 0.4228 | 0.8236 | 0.9075 |
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+ | No log | 14.0 | 56 | 0.6842 | 0.4524 | 0.6842 | 0.8271 |
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+ | No log | 14.5 | 58 | 0.7000 | 0.3688 | 0.7000 | 0.8367 |
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+ | No log | 15.0 | 60 | 0.8084 | 0.4296 | 0.8084 | 0.8991 |
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+ | No log | 15.5 | 62 | 1.0641 | 0.3134 | 1.0641 | 1.0316 |
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+ | No log | 16.0 | 64 | 0.9398 | 0.3337 | 0.9398 | 0.9695 |
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+ | No log | 16.5 | 66 | 0.7127 | 0.3985 | 0.7127 | 0.8442 |
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+ | No log | 17.0 | 68 | 0.6549 | 0.4493 | 0.6549 | 0.8092 |
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+ | No log | 17.5 | 70 | 0.7156 | 0.3732 | 0.7156 | 0.8459 |
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+ | No log | 18.0 | 72 | 0.9102 | 0.3767 | 0.9102 | 0.9541 |
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+ | No log | 18.5 | 74 | 0.8985 | 0.3445 | 0.8985 | 0.9479 |
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+ | No log | 19.0 | 76 | 0.7068 | 0.4808 | 0.7068 | 0.8407 |
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+ | No log | 19.5 | 78 | 0.6094 | 0.4493 | 0.6094 | 0.7806 |
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+ | No log | 20.0 | 80 | 0.5904 | 0.5089 | 0.5904 | 0.7684 |
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+ | No log | 20.5 | 82 | 0.6426 | 0.5219 | 0.6426 | 0.8016 |
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+ | No log | 21.0 | 84 | 0.6456 | 0.5219 | 0.6456 | 0.8035 |
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+ | No log | 21.5 | 86 | 0.5733 | 0.5428 | 0.5733 | 0.7571 |
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+ | No log | 22.0 | 88 | 0.5604 | 0.5428 | 0.5604 | 0.7486 |
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+ | No log | 22.5 | 90 | 0.6296 | 0.5219 | 0.6296 | 0.7935 |
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+ | No log | 23.0 | 92 | 0.7233 | 0.4562 | 0.7233 | 0.8505 |
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+ | No log | 23.5 | 94 | 0.6479 | 0.5511 | 0.6479 | 0.8049 |
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+ | No log | 24.0 | 96 | 0.5553 | 0.5411 | 0.5553 | 0.7452 |
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+ | No log | 24.5 | 98 | 0.5549 | 0.5395 | 0.5549 | 0.7449 |
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+ | No log | 25.0 | 100 | 0.5766 | 0.5836 | 0.5766 | 0.7593 |
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+ | No log | 25.5 | 102 | 0.6219 | 0.5511 | 0.6219 | 0.7886 |
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+ | No log | 26.0 | 104 | 0.6583 | 0.5329 | 0.6583 | 0.8113 |
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+ | No log | 26.5 | 106 | 0.5716 | 0.5836 | 0.5716 | 0.7561 |
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+ | No log | 27.0 | 108 | 0.5376 | 0.5909 | 0.5376 | 0.7332 |
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+ | No log | 27.5 | 110 | 0.5667 | 0.5755 | 0.5667 | 0.7528 |
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+ | No log | 28.0 | 112 | 0.5844 | 0.5362 | 0.5844 | 0.7644 |
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+ | No log | 28.5 | 114 | 0.5383 | 0.5786 | 0.5383 | 0.7337 |
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+ | No log | 29.0 | 116 | 0.5193 | 0.5089 | 0.5193 | 0.7206 |
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+ | No log | 29.5 | 118 | 0.5242 | 0.5089 | 0.5242 | 0.7240 |
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+ | No log | 30.0 | 120 | 0.5510 | 0.5123 | 0.5510 | 0.7423 |
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+ | No log | 30.5 | 122 | 0.5628 | 0.5195 | 0.5628 | 0.7502 |
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+ | No log | 31.0 | 124 | 0.5600 | 0.5289 | 0.5600 | 0.7483 |
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+ | No log | 31.5 | 126 | 0.5620 | 0.5289 | 0.5620 | 0.7497 |
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+ | No log | 32.0 | 128 | 0.5535 | 0.4617 | 0.5535 | 0.7440 |
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+ | No log | 32.5 | 130 | 0.5561 | 0.4358 | 0.5561 | 0.7457 |
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+ | No log | 33.0 | 132 | 0.5522 | 0.4866 | 0.5522 | 0.7431 |
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+ | No log | 33.5 | 134 | 0.5558 | 0.4617 | 0.5558 | 0.7455 |
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+ | No log | 34.0 | 136 | 0.5593 | 0.4337 | 0.5593 | 0.7479 |
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+ | No log | 34.5 | 138 | 0.6118 | 0.5067 | 0.6118 | 0.7822 |
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+ | No log | 35.0 | 140 | 0.6528 | 0.4409 | 0.6528 | 0.8080 |
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+ | No log | 35.5 | 142 | 0.5984 | 0.5067 | 0.5984 | 0.7736 |
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+ | No log | 36.0 | 144 | 0.5379 | 0.4837 | 0.5379 | 0.7334 |
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+ | No log | 36.5 | 146 | 0.5332 | 0.4526 | 0.5332 | 0.7302 |
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+ | No log | 37.0 | 148 | 0.5324 | 0.4526 | 0.5324 | 0.7297 |
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+ | No log | 37.5 | 150 | 0.5618 | 0.5349 | 0.5618 | 0.7496 |
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+ | No log | 38.0 | 152 | 0.5790 | 0.5481 | 0.5790 | 0.7609 |
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+ | No log | 38.5 | 154 | 0.5869 | 0.5481 | 0.5869 | 0.7661 |
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+ | No log | 39.0 | 156 | 0.5917 | 0.5481 | 0.5917 | 0.7692 |
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+ | No log | 39.5 | 158 | 0.6046 | 0.5067 | 0.6046 | 0.7776 |
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+ | No log | 40.0 | 160 | 0.6352 | 0.4329 | 0.6352 | 0.7970 |
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+ | No log | 40.5 | 162 | 0.6566 | 0.4562 | 0.6566 | 0.8103 |
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+ | No log | 41.0 | 164 | 0.6230 | 0.4562 | 0.6230 | 0.7893 |
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+ | No log | 41.5 | 166 | 0.5867 | 0.5292 | 0.5867 | 0.7660 |
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+ | No log | 42.0 | 168 | 0.5443 | 0.5481 | 0.5443 | 0.7378 |
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+ | No log | 42.5 | 170 | 0.5463 | 0.5481 | 0.5463 | 0.7392 |
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+ | No log | 43.0 | 172 | 0.5699 | 0.5048 | 0.5699 | 0.7549 |
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+ | No log | 43.5 | 174 | 0.5717 | 0.5048 | 0.5717 | 0.7561 |
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+ | No log | 44.0 | 176 | 0.5717 | 0.5463 | 0.5717 | 0.7561 |
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+ | No log | 44.5 | 178 | 0.5599 | 0.5463 | 0.5599 | 0.7482 |
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+ | No log | 45.0 | 180 | 0.5549 | 0.5463 | 0.5549 | 0.7449 |
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+ | No log | 45.5 | 182 | 0.5620 | 0.5463 | 0.5620 | 0.7497 |
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+ | No log | 46.0 | 184 | 0.5598 | 0.5463 | 0.5598 | 0.7482 |
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+ | No log | 46.5 | 186 | 0.5384 | 0.4753 | 0.5384 | 0.7337 |
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+ | No log | 47.0 | 188 | 0.5310 | 0.4997 | 0.5310 | 0.7287 |
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+ | No log | 47.5 | 190 | 0.5484 | 0.5463 | 0.5484 | 0.7406 |
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+ | No log | 48.0 | 192 | 0.5605 | 0.5463 | 0.5605 | 0.7486 |
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+ | No log | 48.5 | 194 | 0.5434 | 0.5233 | 0.5434 | 0.7372 |
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+ | No log | 49.0 | 196 | 0.5244 | 0.5104 | 0.5244 | 0.7242 |
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+ | No log | 49.5 | 198 | 0.5134 | 0.4337 | 0.5134 | 0.7166 |
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+ | No log | 50.0 | 200 | 0.5109 | 0.4171 | 0.5109 | 0.7147 |
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+ | No log | 50.5 | 202 | 0.5144 | 0.4171 | 0.5144 | 0.7172 |
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+ | No log | 51.0 | 204 | 0.5190 | 0.4171 | 0.5190 | 0.7204 |
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+ | No log | 51.5 | 206 | 0.5219 | 0.4171 | 0.5219 | 0.7224 |
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+ | No log | 52.0 | 208 | 0.5218 | 0.4171 | 0.5218 | 0.7223 |
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+ | No log | 52.5 | 210 | 0.5223 | 0.4171 | 0.5223 | 0.7227 |
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+ | No log | 53.0 | 212 | 0.5388 | 0.4437 | 0.5388 | 0.7340 |
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+ | No log | 53.5 | 214 | 0.5708 | 0.4997 | 0.5708 | 0.7555 |
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+ | No log | 54.0 | 216 | 0.6061 | 0.5463 | 0.6061 | 0.7785 |
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+ | No log | 54.5 | 218 | 0.6038 | 0.5463 | 0.6038 | 0.7771 |
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+ | No log | 55.0 | 220 | 0.5799 | 0.5463 | 0.5799 | 0.7615 |
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+ | No log | 55.5 | 222 | 0.5383 | 0.5252 | 0.5383 | 0.7337 |
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+ | No log | 56.0 | 224 | 0.5104 | 0.4397 | 0.5104 | 0.7144 |
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+ | No log | 56.5 | 226 | 0.5060 | 0.4701 | 0.5060 | 0.7114 |
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+ | No log | 57.0 | 228 | 0.5140 | 0.4742 | 0.5140 | 0.7170 |
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+ | No log | 57.5 | 230 | 0.5123 | 0.4742 | 0.5123 | 0.7157 |
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+ | No log | 58.0 | 232 | 0.5021 | 0.4972 | 0.5021 | 0.7086 |
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+ | No log | 58.5 | 234 | 0.4952 | 0.5379 | 0.4952 | 0.7037 |
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+ | No log | 59.0 | 236 | 0.5027 | 0.5034 | 0.5027 | 0.7090 |
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+ | No log | 59.5 | 238 | 0.5039 | 0.5034 | 0.5039 | 0.7099 |
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+ | No log | 60.0 | 240 | 0.4982 | 0.5034 | 0.4982 | 0.7058 |
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+ | No log | 60.5 | 242 | 0.4860 | 0.5272 | 0.4860 | 0.6972 |
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+ | No log | 61.0 | 244 | 0.4763 | 0.5141 | 0.4763 | 0.6901 |
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+ | No log | 61.5 | 246 | 0.4794 | 0.4898 | 0.4794 | 0.6924 |
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+ | No log | 62.0 | 248 | 0.4813 | 0.4384 | 0.4813 | 0.6937 |
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+ | No log | 62.5 | 250 | 0.4813 | 0.4613 | 0.4813 | 0.6937 |
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+ | No log | 63.0 | 252 | 0.4864 | 0.5232 | 0.4864 | 0.6974 |
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+ | No log | 63.5 | 254 | 0.5075 | 0.5034 | 0.5075 | 0.7124 |
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+ | No log | 64.0 | 256 | 0.5354 | 0.5233 | 0.5354 | 0.7317 |
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+ | No log | 64.5 | 258 | 0.5718 | 0.5463 | 0.5718 | 0.7562 |
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+ | No log | 65.0 | 260 | 0.5882 | 0.5463 | 0.5882 | 0.7670 |
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+ | No log | 65.5 | 262 | 0.5841 | 0.5463 | 0.5841 | 0.7643 |
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+ | No log | 66.0 | 264 | 0.5662 | 0.5463 | 0.5662 | 0.7525 |
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+ | No log | 66.5 | 266 | 0.5440 | 0.4997 | 0.5440 | 0.7376 |
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+ | No log | 67.0 | 268 | 0.5213 | 0.5177 | 0.5213 | 0.7220 |
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+ | No log | 67.5 | 270 | 0.5082 | 0.4337 | 0.5082 | 0.7129 |
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+ | No log | 68.0 | 272 | 0.5072 | 0.4337 | 0.5072 | 0.7122 |
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+ | No log | 68.5 | 274 | 0.5116 | 0.5104 | 0.5116 | 0.7153 |
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+ | No log | 69.0 | 276 | 0.5122 | 0.5104 | 0.5122 | 0.7157 |
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+ | No log | 69.5 | 278 | 0.5285 | 0.5252 | 0.5285 | 0.7270 |
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+ | No log | 70.0 | 280 | 0.5528 | 0.4997 | 0.5528 | 0.7435 |
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+ | No log | 70.5 | 282 | 0.5583 | 0.4997 | 0.5583 | 0.7472 |
193
+ | No log | 71.0 | 284 | 0.5488 | 0.4997 | 0.5488 | 0.7408 |
194
+ | No log | 71.5 | 286 | 0.5408 | 0.5177 | 0.5408 | 0.7354 |
195
+ | No log | 72.0 | 288 | 0.5296 | 0.4945 | 0.5296 | 0.7277 |
196
+ | No log | 72.5 | 290 | 0.5182 | 0.4257 | 0.5182 | 0.7199 |
197
+ | No log | 73.0 | 292 | 0.5134 | 0.4013 | 0.5134 | 0.7165 |
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+ | No log | 73.5 | 294 | 0.5124 | 0.4808 | 0.5124 | 0.7158 |
199
+ | No log | 74.0 | 296 | 0.5116 | 0.4808 | 0.5116 | 0.7153 |
200
+ | No log | 74.5 | 298 | 0.5061 | 0.5053 | 0.5061 | 0.7114 |
201
+ | No log | 75.0 | 300 | 0.5126 | 0.5034 | 0.5126 | 0.7159 |
202
+ | No log | 75.5 | 302 | 0.5178 | 0.5034 | 0.5178 | 0.7196 |
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+ | No log | 76.0 | 304 | 0.5181 | 0.5034 | 0.5181 | 0.7198 |
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+ | No log | 76.5 | 306 | 0.5127 | 0.5034 | 0.5127 | 0.7160 |
205
+ | No log | 77.0 | 308 | 0.5155 | 0.5104 | 0.5155 | 0.7180 |
206
+ | No log | 77.5 | 310 | 0.5284 | 0.5104 | 0.5284 | 0.7269 |
207
+ | No log | 78.0 | 312 | 0.5432 | 0.5252 | 0.5432 | 0.7370 |
208
+ | No log | 78.5 | 314 | 0.5595 | 0.5233 | 0.5595 | 0.7480 |
209
+ | No log | 79.0 | 316 | 0.5707 | 0.5233 | 0.5707 | 0.7555 |
210
+ | No log | 79.5 | 318 | 0.5635 | 0.5233 | 0.5635 | 0.7507 |
211
+ | No log | 80.0 | 320 | 0.5574 | 0.4997 | 0.5574 | 0.7466 |
212
+ | No log | 80.5 | 322 | 0.5502 | 0.4997 | 0.5502 | 0.7417 |
213
+ | No log | 81.0 | 324 | 0.5456 | 0.5252 | 0.5456 | 0.7387 |
214
+ | No log | 81.5 | 326 | 0.5493 | 0.4997 | 0.5493 | 0.7412 |
215
+ | No log | 82.0 | 328 | 0.5495 | 0.5233 | 0.5495 | 0.7413 |
216
+ | No log | 82.5 | 330 | 0.5582 | 0.5233 | 0.5582 | 0.7472 |
217
+ | No log | 83.0 | 332 | 0.5620 | 0.5233 | 0.5620 | 0.7497 |
218
+ | No log | 83.5 | 334 | 0.5652 | 0.5463 | 0.5652 | 0.7518 |
219
+ | No log | 84.0 | 336 | 0.5704 | 0.5463 | 0.5704 | 0.7553 |
220
+ | No log | 84.5 | 338 | 0.5719 | 0.5463 | 0.5719 | 0.7562 |
221
+ | No log | 85.0 | 340 | 0.5762 | 0.5463 | 0.5762 | 0.7591 |
222
+ | No log | 85.5 | 342 | 0.5789 | 0.5463 | 0.5789 | 0.7609 |
223
+ | No log | 86.0 | 344 | 0.5777 | 0.5463 | 0.5777 | 0.7601 |
224
+ | No log | 86.5 | 346 | 0.5726 | 0.5463 | 0.5726 | 0.7567 |
225
+ | No log | 87.0 | 348 | 0.5694 | 0.5463 | 0.5694 | 0.7546 |
226
+ | No log | 87.5 | 350 | 0.5610 | 0.5233 | 0.5610 | 0.7490 |
227
+ | No log | 88.0 | 352 | 0.5538 | 0.5233 | 0.5538 | 0.7442 |
228
+ | No log | 88.5 | 354 | 0.5477 | 0.4997 | 0.5477 | 0.7401 |
229
+ | No log | 89.0 | 356 | 0.5452 | 0.5233 | 0.5452 | 0.7384 |
230
+ | No log | 89.5 | 358 | 0.5439 | 0.5233 | 0.5439 | 0.7375 |
231
+ | No log | 90.0 | 360 | 0.5450 | 0.5233 | 0.5450 | 0.7383 |
232
+ | No log | 90.5 | 362 | 0.5530 | 0.5233 | 0.5530 | 0.7436 |
233
+ | No log | 91.0 | 364 | 0.5586 | 0.5233 | 0.5586 | 0.7474 |
234
+ | No log | 91.5 | 366 | 0.5570 | 0.5233 | 0.5570 | 0.7464 |
235
+ | No log | 92.0 | 368 | 0.5499 | 0.5233 | 0.5499 | 0.7416 |
236
+ | No log | 92.5 | 370 | 0.5499 | 0.5233 | 0.5499 | 0.7416 |
237
+ | No log | 93.0 | 372 | 0.5474 | 0.5233 | 0.5474 | 0.7399 |
238
+ | No log | 93.5 | 374 | 0.5443 | 0.5233 | 0.5443 | 0.7377 |
239
+ | No log | 94.0 | 376 | 0.5439 | 0.5233 | 0.5439 | 0.7375 |
240
+ | No log | 94.5 | 378 | 0.5436 | 0.5233 | 0.5436 | 0.7373 |
241
+ | No log | 95.0 | 380 | 0.5428 | 0.5233 | 0.5428 | 0.7368 |
242
+ | No log | 95.5 | 382 | 0.5414 | 0.5233 | 0.5414 | 0.7358 |
243
+ | No log | 96.0 | 384 | 0.5404 | 0.5233 | 0.5404 | 0.7351 |
244
+ | No log | 96.5 | 386 | 0.5405 | 0.5233 | 0.5405 | 0.7352 |
245
+ | No log | 97.0 | 388 | 0.5404 | 0.4997 | 0.5404 | 0.7351 |
246
+ | No log | 97.5 | 390 | 0.5408 | 0.4997 | 0.5408 | 0.7354 |
247
+ | No log | 98.0 | 392 | 0.5411 | 0.4997 | 0.5411 | 0.7356 |
248
+ | No log | 98.5 | 394 | 0.5405 | 0.4925 | 0.5405 | 0.7352 |
249
+ | No log | 99.0 | 396 | 0.5405 | 0.4925 | 0.5405 | 0.7352 |
250
+ | No log | 99.5 | 398 | 0.5405 | 0.4925 | 0.5405 | 0.7352 |
251
+ | No log | 100.0 | 400 | 0.5407 | 0.4925 | 0.5407 | 0.7353 |
252
+
253
+
254
+ ### Framework versions
255
+
256
+ - Transformers 4.44.2
257
+ - Pytorch 2.4.0+cu118
258
+ - Datasets 2.21.0
259
+ - Tokenizers 0.19.1
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+ "vocab_size": 64000
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+ }
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