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ArabicNewSplits7_FineTuningAraBERT_noAug_task5_organization

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Training in progress, step 300

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  1. README.md +209 -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_FineTuningAraBERT_noAug_task3_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_FineTuningAraBERT_noAug_task3_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: 0.8090
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+ - Qwk: 0.1095
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+ - Mse: 0.8090
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+ - Rmse: 0.8994
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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 | 0.6667 | 2 | 5.5420 | 0.0030 | 5.5420 | 2.3541 |
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+ | No log | 1.3333 | 4 | 3.1254 | 0.0002 | 3.1254 | 1.7679 |
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+ | No log | 2.0 | 6 | 1.7162 | 0.0213 | 1.7162 | 1.3100 |
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+ | No log | 2.6667 | 8 | 1.2102 | -0.0133 | 1.2102 | 1.1001 |
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+ | No log | 3.3333 | 10 | 1.2021 | -0.0178 | 1.2021 | 1.0964 |
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+ | No log | 4.0 | 12 | 0.8865 | 0.0748 | 0.8865 | 0.9416 |
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+ | No log | 4.6667 | 14 | 0.9694 | 0.0623 | 0.9694 | 0.9846 |
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+ | No log | 5.3333 | 16 | 0.7347 | 0.0260 | 0.7347 | 0.8571 |
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+ | No log | 6.0 | 18 | 0.6818 | 0.0807 | 0.6818 | 0.8257 |
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+ | No log | 6.6667 | 20 | 0.8893 | 0.1113 | 0.8893 | 0.9430 |
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+ | No log | 7.3333 | 22 | 0.8323 | 0.0951 | 0.8323 | 0.9123 |
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+ | No log | 8.0 | 24 | 0.7651 | 0.0884 | 0.7651 | 0.8747 |
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+ | No log | 8.6667 | 26 | 0.7550 | 0.1620 | 0.7550 | 0.8689 |
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+ | No log | 9.3333 | 28 | 0.8338 | 0.1592 | 0.8338 | 0.9131 |
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+ | No log | 10.0 | 30 | 1.0524 | 0.1753 | 1.0524 | 1.0258 |
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+ | No log | 10.6667 | 32 | 0.8584 | 0.1707 | 0.8584 | 0.9265 |
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+ | No log | 11.3333 | 34 | 0.8218 | 0.1538 | 0.8218 | 0.9066 |
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+ | No log | 12.0 | 36 | 1.0187 | 0.0764 | 1.0187 | 1.0093 |
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+ | No log | 12.6667 | 38 | 1.0979 | 0.1246 | 1.0979 | 1.0478 |
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+ | No log | 13.3333 | 40 | 0.8634 | 0.1201 | 0.8634 | 0.9292 |
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+ | No log | 14.0 | 42 | 0.9601 | 0.1066 | 0.9601 | 0.9798 |
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+ | No log | 14.6667 | 44 | 1.4010 | 0.1290 | 1.4010 | 1.1836 |
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+ | No log | 15.3333 | 46 | 1.4809 | 0.1175 | 1.4809 | 1.2169 |
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+ | No log | 16.0 | 48 | 1.0711 | 0.0995 | 1.0711 | 1.0349 |
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+ | No log | 16.6667 | 50 | 1.1059 | 0.0600 | 1.1059 | 1.0516 |
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+ | No log | 17.3333 | 52 | 1.3003 | 0.0056 | 1.3003 | 1.1403 |
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+ | No log | 18.0 | 54 | 1.1468 | 0.0584 | 1.1468 | 1.0709 |
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+ | No log | 18.6667 | 56 | 1.0487 | 0.0365 | 1.0487 | 1.0240 |
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+ | No log | 19.3333 | 58 | 0.9480 | 0.0930 | 0.9480 | 0.9736 |
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+ | No log | 20.0 | 60 | 0.9161 | 0.0856 | 0.9161 | 0.9572 |
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+ | No log | 20.6667 | 62 | 0.8637 | 0.1529 | 0.8637 | 0.9293 |
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+ | No log | 21.3333 | 64 | 0.8521 | 0.1529 | 0.8521 | 0.9231 |
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+ | No log | 22.0 | 66 | 1.0071 | 0.0225 | 1.0071 | 1.0036 |
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+ | No log | 22.6667 | 68 | 1.1649 | 0.0866 | 1.1649 | 1.0793 |
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+ | No log | 23.3333 | 70 | 0.9809 | 0.0993 | 0.9809 | 0.9904 |
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+ | No log | 24.0 | 72 | 0.9642 | 0.1705 | 0.9642 | 0.9819 |
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+ | No log | 24.6667 | 74 | 0.9449 | 0.1638 | 0.9449 | 0.9721 |
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+ | No log | 25.3333 | 76 | 0.9330 | 0.0851 | 0.9330 | 0.9659 |
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+ | No log | 26.0 | 78 | 1.0442 | 0.0799 | 1.0442 | 1.0219 |
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+ | No log | 26.6667 | 80 | 0.9999 | 0.0856 | 0.9999 | 1.0000 |
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+ | No log | 27.3333 | 82 | 0.8117 | 0.1841 | 0.8117 | 0.9010 |
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+ | No log | 28.0 | 84 | 0.7927 | 0.0834 | 0.7927 | 0.8904 |
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+ | No log | 28.6667 | 86 | 0.8194 | 0.1702 | 0.8194 | 0.9052 |
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+ | No log | 29.3333 | 88 | 0.8495 | 0.0923 | 0.8495 | 0.9217 |
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+ | No log | 30.0 | 90 | 0.8640 | 0.0923 | 0.8640 | 0.9295 |
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+ | No log | 30.6667 | 92 | 0.8946 | 0.0884 | 0.8946 | 0.9458 |
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+ | No log | 31.3333 | 94 | 0.8656 | 0.2254 | 0.8656 | 0.9304 |
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+ | No log | 32.0 | 96 | 0.8592 | 0.1313 | 0.8592 | 0.9269 |
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+ | No log | 32.6667 | 98 | 0.9560 | 0.1027 | 0.9560 | 0.9778 |
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+ | No log | 33.3333 | 100 | 0.9772 | 0.0217 | 0.9772 | 0.9885 |
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+ | No log | 34.0 | 102 | 0.8714 | 0.0805 | 0.8714 | 0.9335 |
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+ | No log | 34.6667 | 104 | 0.8205 | 0.0846 | 0.8205 | 0.9058 |
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+ | No log | 35.3333 | 106 | 0.9025 | 0.1700 | 0.9025 | 0.9500 |
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+ | No log | 36.0 | 108 | 0.9035 | 0.1131 | 0.9035 | 0.9505 |
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+ | No log | 36.6667 | 110 | 0.9686 | 0.0933 | 0.9686 | 0.9842 |
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+ | No log | 37.3333 | 112 | 1.1821 | 0.0704 | 1.1821 | 1.0872 |
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+ | No log | 38.0 | 114 | 1.4063 | 0.0884 | 1.4063 | 1.1859 |
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+ | No log | 38.6667 | 116 | 1.3013 | 0.0798 | 1.3013 | 1.1407 |
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+ | No log | 39.3333 | 118 | 1.0749 | 0.1144 | 1.0749 | 1.0368 |
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+ | No log | 40.0 | 120 | 0.9422 | 0.1010 | 0.9422 | 0.9707 |
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+ | No log | 40.6667 | 122 | 0.8785 | 0.0361 | 0.8785 | 0.9373 |
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+ | No log | 41.3333 | 124 | 0.8177 | 0.0700 | 0.8177 | 0.9043 |
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+ | No log | 42.0 | 126 | 0.8195 | 0.0091 | 0.8195 | 0.9053 |
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+ | No log | 42.6667 | 128 | 0.8602 | 0.0684 | 0.8602 | 0.9275 |
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+ | No log | 43.3333 | 130 | 0.8793 | 0.0986 | 0.8793 | 0.9377 |
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+ | No log | 44.0 | 132 | 0.8323 | 0.1190 | 0.8323 | 0.9123 |
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+ | No log | 44.6667 | 134 | 0.8088 | 0.0597 | 0.8088 | 0.8993 |
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+ | No log | 45.3333 | 136 | 0.8169 | 0.0597 | 0.8169 | 0.9038 |
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+ | No log | 46.0 | 138 | 0.8986 | 0.1437 | 0.8986 | 0.9479 |
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+ | No log | 46.6667 | 140 | 0.9207 | 0.1301 | 0.9207 | 0.9595 |
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+ | No log | 47.3333 | 142 | 0.8466 | 0.0504 | 0.8466 | 0.9201 |
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+ | No log | 48.0 | 144 | 0.7896 | 0.1240 | 0.7896 | 0.8886 |
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+ | No log | 48.6667 | 146 | 0.7947 | 0.0840 | 0.7947 | 0.8914 |
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+ | No log | 49.3333 | 148 | 0.8111 | 0.1518 | 0.8111 | 0.9006 |
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+ | No log | 50.0 | 150 | 0.9068 | 0.0842 | 0.9068 | 0.9523 |
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+ | No log | 50.6667 | 152 | 1.0347 | 0.0799 | 1.0347 | 1.0172 |
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+ | No log | 51.3333 | 154 | 1.0026 | 0.1285 | 1.0026 | 1.0013 |
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+ | No log | 52.0 | 156 | 0.9318 | 0.1353 | 0.9318 | 0.9653 |
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+ | No log | 52.6667 | 158 | 0.9047 | 0.1050 | 0.9047 | 0.9512 |
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+ | No log | 53.3333 | 160 | 0.8876 | 0.1465 | 0.8876 | 0.9421 |
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+ | No log | 54.0 | 162 | 0.8811 | 0.0923 | 0.8811 | 0.9387 |
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+ | No log | 54.6667 | 164 | 0.8536 | 0.0660 | 0.8536 | 0.9239 |
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+ | No log | 55.3333 | 166 | 0.8457 | 0.1049 | 0.8457 | 0.9196 |
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+ | No log | 56.0 | 168 | 0.8319 | 0.0660 | 0.8319 | 0.9121 |
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+ | No log | 56.6667 | 170 | 0.8353 | 0.1095 | 0.8353 | 0.9139 |
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+ | No log | 57.3333 | 172 | 0.8510 | 0.1003 | 0.8510 | 0.9225 |
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+ | No log | 58.0 | 174 | 0.8389 | 0.0660 | 0.8389 | 0.9159 |
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+ | No log | 58.6667 | 176 | 0.8407 | 0.0725 | 0.8407 | 0.9169 |
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+ | No log | 59.3333 | 178 | 0.8471 | 0.0688 | 0.8471 | 0.9204 |
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+ | No log | 60.0 | 180 | 0.8592 | 0.0408 | 0.8592 | 0.9269 |
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+ | No log | 60.6667 | 182 | 0.8563 | 0.1094 | 0.8563 | 0.9254 |
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+ | No log | 61.3333 | 184 | 0.8624 | 0.0964 | 0.8624 | 0.9287 |
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+ | No log | 62.0 | 186 | 0.8726 | 0.0435 | 0.8726 | 0.9341 |
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+ | No log | 62.6667 | 188 | 0.8523 | 0.0113 | 0.8523 | 0.9232 |
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+ | No log | 63.3333 | 190 | 0.8311 | 0.1415 | 0.8311 | 0.9116 |
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+ | No log | 64.0 | 192 | 0.8214 | 0.1465 | 0.8214 | 0.9063 |
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+ | No log | 64.6667 | 194 | 0.8305 | 0.1094 | 0.8305 | 0.9113 |
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+ | No log | 65.3333 | 196 | 0.8404 | 0.1094 | 0.8404 | 0.9167 |
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+ | No log | 66.0 | 198 | 0.8687 | 0.1752 | 0.8687 | 0.9320 |
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+ | No log | 66.6667 | 200 | 0.8926 | 0.1673 | 0.8926 | 0.9448 |
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+ | No log | 67.3333 | 202 | 0.9188 | 0.0392 | 0.9188 | 0.9585 |
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+ | No log | 68.0 | 204 | 0.8798 | 0.1673 | 0.8798 | 0.9380 |
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+ | No log | 68.6667 | 206 | 0.8201 | 0.1094 | 0.8201 | 0.9056 |
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+ | No log | 69.3333 | 208 | 0.7988 | 0.1094 | 0.7988 | 0.8937 |
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+ | No log | 70.0 | 210 | 0.7839 | 0.1094 | 0.7839 | 0.8854 |
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+ | No log | 70.6667 | 212 | 0.7808 | 0.1292 | 0.7808 | 0.8836 |
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+ | No log | 71.3333 | 214 | 0.7814 | 0.1815 | 0.7814 | 0.8840 |
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+ | No log | 72.0 | 216 | 0.7779 | 0.1292 | 0.7779 | 0.8820 |
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+ | No log | 72.6667 | 218 | 0.7787 | 0.1240 | 0.7787 | 0.8824 |
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+ | No log | 73.3333 | 220 | 0.7864 | 0.0660 | 0.7864 | 0.8868 |
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+ | No log | 74.0 | 222 | 0.8027 | 0.1485 | 0.8027 | 0.8960 |
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+ | No log | 74.6667 | 224 | 0.8140 | 0.1485 | 0.8140 | 0.9022 |
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+ | No log | 75.3333 | 226 | 0.8172 | 0.1485 | 0.8172 | 0.9040 |
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+ | No log | 76.0 | 228 | 0.8171 | 0.1485 | 0.8171 | 0.9040 |
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+ | No log | 76.6667 | 230 | 0.8079 | 0.1095 | 0.8079 | 0.8988 |
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+ | No log | 77.3333 | 232 | 0.7940 | 0.1189 | 0.7940 | 0.8911 |
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+ | No log | 78.0 | 234 | 0.7891 | 0.1751 | 0.7891 | 0.8883 |
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+ | No log | 78.6667 | 236 | 0.7894 | 0.1282 | 0.7894 | 0.8885 |
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+ | No log | 79.3333 | 238 | 0.7957 | 0.0893 | 0.7957 | 0.8920 |
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+ | No log | 80.0 | 240 | 0.7966 | 0.0893 | 0.7966 | 0.8925 |
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+ | No log | 80.6667 | 242 | 0.7885 | 0.1282 | 0.7885 | 0.8880 |
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+ | No log | 81.3333 | 244 | 0.7826 | 0.1689 | 0.7826 | 0.8847 |
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+ | No log | 82.0 | 246 | 0.8029 | 0.1095 | 0.8029 | 0.8960 |
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+ | No log | 82.6667 | 248 | 0.8306 | 0.1277 | 0.8306 | 0.9114 |
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+ | No log | 83.3333 | 250 | 0.8493 | 0.1188 | 0.8493 | 0.9216 |
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+ | No log | 84.0 | 252 | 0.8483 | 0.1188 | 0.8483 | 0.9210 |
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+ | No log | 84.6667 | 254 | 0.8302 | 0.0959 | 0.8302 | 0.9112 |
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+ | No log | 85.3333 | 256 | 0.8121 | 0.0959 | 0.8121 | 0.9012 |
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+ | No log | 86.0 | 258 | 0.8024 | 0.1095 | 0.8024 | 0.8958 |
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+ | No log | 86.6667 | 260 | 0.7921 | 0.1095 | 0.7921 | 0.8900 |
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+ | No log | 87.3333 | 262 | 0.7805 | 0.1722 | 0.7805 | 0.8835 |
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+ | No log | 88.0 | 264 | 0.7776 | 0.1722 | 0.7776 | 0.8818 |
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+ | No log | 88.6667 | 266 | 0.7779 | 0.1722 | 0.7779 | 0.8820 |
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+ | No log | 89.3333 | 268 | 0.7797 | 0.1722 | 0.7797 | 0.8830 |
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+ | No log | 90.0 | 270 | 0.7864 | 0.1196 | 0.7864 | 0.8868 |
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+ | No log | 90.6667 | 272 | 0.7953 | 0.1095 | 0.7953 | 0.8918 |
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+ | No log | 91.3333 | 274 | 0.8012 | 0.1095 | 0.8012 | 0.8951 |
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+ | No log | 92.0 | 276 | 0.8062 | 0.1095 | 0.8062 | 0.8979 |
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+ | No log | 92.6667 | 278 | 0.8098 | 0.1095 | 0.8098 | 0.8999 |
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+ | No log | 93.3333 | 280 | 0.8182 | 0.1095 | 0.8182 | 0.9045 |
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+ | No log | 94.0 | 282 | 0.8247 | 0.1324 | 0.8247 | 0.9082 |
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+ | No log | 94.6667 | 284 | 0.8266 | 0.1324 | 0.8266 | 0.9092 |
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+ | No log | 95.3333 | 286 | 0.8239 | 0.1324 | 0.8239 | 0.9077 |
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+ | No log | 96.0 | 288 | 0.8172 | 0.0611 | 0.8172 | 0.9040 |
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+ | No log | 96.6667 | 290 | 0.8103 | 0.0611 | 0.8103 | 0.9002 |
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+ | No log | 97.3333 | 292 | 0.8083 | 0.1095 | 0.8083 | 0.8991 |
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+ | No log | 98.0 | 294 | 0.8087 | 0.1095 | 0.8087 | 0.8993 |
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+ | No log | 98.6667 | 296 | 0.8090 | 0.0611 | 0.8090 | 0.8995 |
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+ | No log | 99.3333 | 298 | 0.8091 | 0.1095 | 0.8091 | 0.8995 |
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+ | No log | 100.0 | 300 | 0.8090 | 0.1095 | 0.8090 | 0.8994 |
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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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+ "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": "4.44.2",
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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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