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ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task2_organization

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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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_task2_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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_task2_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: 1.2006
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+ - Qwk: 0.1903
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+ - Mse: 1.2006
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+ - Rmse: 1.0957
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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 | 4.7015 | 0.0010 | 4.7015 | 2.1683 |
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+ | No log | 1.3333 | 4 | 2.6419 | -0.0084 | 2.6419 | 1.6254 |
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+ | No log | 2.0 | 6 | 2.0221 | -0.0303 | 2.0221 | 1.4220 |
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+ | No log | 2.6667 | 8 | 1.6172 | -0.0064 | 1.6172 | 1.2717 |
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+ | No log | 3.3333 | 10 | 1.5607 | -0.0880 | 1.5607 | 1.2493 |
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+ | No log | 4.0 | 12 | 1.3936 | -0.0422 | 1.3936 | 1.1805 |
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+ | No log | 4.6667 | 14 | 1.2986 | 0.1207 | 1.2986 | 1.1396 |
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+ | No log | 5.3333 | 16 | 1.3813 | -0.0806 | 1.3813 | 1.1753 |
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+ | No log | 6.0 | 18 | 1.3559 | 0.0077 | 1.3559 | 1.1644 |
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+ | No log | 6.6667 | 20 | 1.2712 | 0.1658 | 1.2712 | 1.1275 |
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+ | No log | 7.3333 | 22 | 1.2976 | 0.0894 | 1.2976 | 1.1391 |
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+ | No log | 8.0 | 24 | 1.2969 | 0.0984 | 1.2969 | 1.1388 |
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+ | No log | 8.6667 | 26 | 1.2242 | 0.1911 | 1.2242 | 1.1064 |
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+ | No log | 9.3333 | 28 | 1.1934 | 0.2369 | 1.1934 | 1.0924 |
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+ | No log | 10.0 | 30 | 1.2698 | 0.1108 | 1.2698 | 1.1269 |
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+ | No log | 10.6667 | 32 | 1.4602 | 0.0057 | 1.4602 | 1.2084 |
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+ | No log | 11.3333 | 34 | 1.3941 | 0.0831 | 1.3941 | 1.1807 |
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+ | No log | 12.0 | 36 | 1.1957 | 0.1793 | 1.1957 | 1.0935 |
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+ | No log | 12.6667 | 38 | 1.1901 | 0.1246 | 1.1901 | 1.0909 |
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+ | No log | 13.3333 | 40 | 1.1931 | 0.1875 | 1.1931 | 1.0923 |
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+ | No log | 14.0 | 42 | 1.3756 | 0.0731 | 1.3756 | 1.1729 |
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+ | No log | 14.6667 | 44 | 1.5641 | -0.0817 | 1.5641 | 1.2506 |
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+ | No log | 15.3333 | 46 | 1.4320 | 0.1354 | 1.4320 | 1.1967 |
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+ | No log | 16.0 | 48 | 1.2960 | 0.1362 | 1.2960 | 1.1384 |
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+ | No log | 16.6667 | 50 | 1.3267 | 0.1423 | 1.3267 | 1.1518 |
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+ | No log | 17.3333 | 52 | 1.4769 | 0.0421 | 1.4769 | 1.2153 |
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+ | No log | 18.0 | 54 | 1.5276 | 0.0879 | 1.5276 | 1.2360 |
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+ | No log | 18.6667 | 56 | 1.6142 | 0.1256 | 1.6142 | 1.2705 |
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+ | No log | 19.3333 | 58 | 1.4390 | 0.2270 | 1.4390 | 1.1996 |
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+ | No log | 20.0 | 60 | 1.4708 | 0.2131 | 1.4708 | 1.2128 |
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+ | No log | 20.6667 | 62 | 1.2796 | 0.2592 | 1.2796 | 1.1312 |
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+ | No log | 21.3333 | 64 | 1.2614 | 0.2287 | 1.2614 | 1.1231 |
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+ | No log | 22.0 | 66 | 1.5376 | 0.1709 | 1.5376 | 1.2400 |
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+ | No log | 22.6667 | 68 | 1.8143 | 0.0303 | 1.8143 | 1.3470 |
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+ | No log | 23.3333 | 70 | 1.5253 | 0.1785 | 1.5253 | 1.2350 |
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+ | No log | 24.0 | 72 | 1.2389 | 0.2555 | 1.2389 | 1.1130 |
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+ | No log | 24.6667 | 74 | 1.2490 | 0.2939 | 1.2490 | 1.1176 |
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+ | No log | 25.3333 | 76 | 1.3968 | 0.2511 | 1.3968 | 1.1819 |
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+ | No log | 26.0 | 78 | 1.4691 | 0.1720 | 1.4691 | 1.2121 |
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+ | No log | 26.6667 | 80 | 1.4560 | 0.2044 | 1.4560 | 1.2066 |
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+ | No log | 27.3333 | 82 | 1.2788 | 0.3036 | 1.2788 | 1.1308 |
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+ | No log | 28.0 | 84 | 1.1716 | 0.2306 | 1.1716 | 1.0824 |
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+ | No log | 28.6667 | 86 | 1.1961 | 0.3036 | 1.1961 | 1.0937 |
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+ | No log | 29.3333 | 88 | 1.2738 | 0.2920 | 1.2738 | 1.1286 |
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+ | No log | 30.0 | 90 | 1.1767 | 0.3390 | 1.1767 | 1.0848 |
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+ | No log | 30.6667 | 92 | 1.2005 | 0.3390 | 1.2005 | 1.0957 |
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+ | No log | 31.3333 | 94 | 1.3476 | 0.3161 | 1.3476 | 1.1608 |
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+ | No log | 32.0 | 96 | 1.3075 | 0.2805 | 1.3075 | 1.1434 |
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+ | No log | 32.6667 | 98 | 1.2458 | 0.3304 | 1.2458 | 1.1162 |
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+ | No log | 33.3333 | 100 | 1.3202 | 0.2989 | 1.3202 | 1.1490 |
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+ | No log | 34.0 | 102 | 1.4514 | 0.2581 | 1.4514 | 1.2048 |
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+ | No log | 34.6667 | 104 | 1.3708 | 0.2917 | 1.3708 | 1.1708 |
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+ | No log | 35.3333 | 106 | 1.2832 | 0.2700 | 1.2832 | 1.1328 |
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+ | No log | 36.0 | 108 | 1.1871 | 0.2775 | 1.1871 | 1.0896 |
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+ | No log | 36.6667 | 110 | 1.1902 | 0.2941 | 1.1902 | 1.0910 |
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+ | No log | 37.3333 | 112 | 1.2638 | 0.2651 | 1.2638 | 1.1242 |
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+ | No log | 38.0 | 114 | 1.3650 | 0.2511 | 1.3650 | 1.1683 |
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+ | No log | 38.6667 | 116 | 1.5673 | 0.1071 | 1.5673 | 1.2519 |
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+ | No log | 39.3333 | 118 | 1.6968 | 0.1129 | 1.6968 | 1.3026 |
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+ | No log | 40.0 | 120 | 1.5338 | 0.1991 | 1.5338 | 1.2385 |
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+ | No log | 40.6667 | 122 | 1.3320 | 0.2902 | 1.3320 | 1.1541 |
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+ | No log | 41.3333 | 124 | 1.3206 | 0.3012 | 1.3206 | 1.1492 |
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+ | No log | 42.0 | 126 | 1.4665 | 0.1809 | 1.4665 | 1.2110 |
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+ | No log | 42.6667 | 128 | 1.6598 | 0.0733 | 1.6598 | 1.2883 |
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+ | No log | 43.3333 | 130 | 1.5461 | 0.0945 | 1.5461 | 1.2434 |
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+ | No log | 44.0 | 132 | 1.3363 | 0.2358 | 1.3363 | 1.1560 |
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+ | No log | 44.6667 | 134 | 1.2658 | 0.2661 | 1.2658 | 1.1251 |
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+ | No log | 45.3333 | 136 | 1.2822 | 0.2661 | 1.2822 | 1.1323 |
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+ | No log | 46.0 | 138 | 1.3276 | 0.2293 | 1.3276 | 1.1522 |
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+ | No log | 46.6667 | 140 | 1.3412 | 0.2293 | 1.3412 | 1.1581 |
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+ | No log | 47.3333 | 142 | 1.3092 | 0.2661 | 1.3092 | 1.1442 |
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+ | No log | 48.0 | 144 | 1.2735 | 0.1794 | 1.2735 | 1.1285 |
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+ | No log | 48.6667 | 146 | 1.2698 | 0.1928 | 1.2698 | 1.1269 |
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+ | No log | 49.3333 | 148 | 1.2880 | 0.2661 | 1.2880 | 1.1349 |
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+ | No log | 50.0 | 150 | 1.3487 | 0.2158 | 1.3487 | 1.1613 |
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+ | No log | 50.6667 | 152 | 1.2973 | 0.2584 | 1.2973 | 1.1390 |
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+ | No log | 51.3333 | 154 | 1.2180 | 0.2468 | 1.2180 | 1.1036 |
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+ | No log | 52.0 | 156 | 1.2081 | 0.2468 | 1.2081 | 1.0991 |
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+ | No log | 52.6667 | 158 | 1.2191 | 0.2447 | 1.2191 | 1.1041 |
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+ | No log | 53.3333 | 160 | 1.2740 | 0.2211 | 1.2740 | 1.1287 |
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+ | No log | 54.0 | 162 | 1.3011 | 0.2306 | 1.3011 | 1.1407 |
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+ | No log | 54.6667 | 164 | 1.3043 | 0.2306 | 1.3043 | 1.1420 |
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+ | No log | 55.3333 | 166 | 1.2879 | 0.2293 | 1.2879 | 1.1348 |
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+ | No log | 56.0 | 168 | 1.2883 | 0.2241 | 1.2883 | 1.1350 |
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+ | No log | 56.6667 | 170 | 1.2975 | 0.2007 | 1.2975 | 1.1391 |
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+ | No log | 57.3333 | 172 | 1.3200 | 0.1817 | 1.3200 | 1.1489 |
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+ | No log | 58.0 | 174 | 1.3639 | 0.0988 | 1.3639 | 1.1679 |
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+ | No log | 58.6667 | 176 | 1.3463 | 0.1576 | 1.3463 | 1.1603 |
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+ | No log | 59.3333 | 178 | 1.3072 | 0.2211 | 1.3072 | 1.1433 |
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+ | No log | 60.0 | 180 | 1.2663 | 0.1805 | 1.2663 | 1.1253 |
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+ | No log | 60.6667 | 182 | 1.2585 | 0.2145 | 1.2585 | 1.1218 |
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+ | No log | 61.3333 | 184 | 1.2693 | 0.1992 | 1.2693 | 1.1266 |
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+ | No log | 62.0 | 186 | 1.2838 | 0.2211 | 1.2838 | 1.1330 |
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+ | No log | 62.6667 | 188 | 1.2948 | 0.2211 | 1.2948 | 1.1379 |
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+ | No log | 63.3333 | 190 | 1.2934 | 0.2211 | 1.2934 | 1.1373 |
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+ | No log | 64.0 | 192 | 1.2825 | 0.2211 | 1.2825 | 1.1325 |
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+ | No log | 64.6667 | 194 | 1.2951 | 0.2113 | 1.2951 | 1.1380 |
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+ | No log | 65.3333 | 196 | 1.3185 | 0.2113 | 1.3185 | 1.1483 |
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+ | No log | 66.0 | 198 | 1.3136 | 0.2113 | 1.3136 | 1.1461 |
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+ | No log | 66.6667 | 200 | 1.2810 | 0.1709 | 1.2810 | 1.1318 |
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+ | No log | 67.3333 | 202 | 1.2656 | 0.2187 | 1.2656 | 1.1250 |
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+ | No log | 68.0 | 204 | 1.2599 | 0.2038 | 1.2599 | 1.1225 |
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+ | No log | 68.6667 | 206 | 1.2534 | 0.1845 | 1.2534 | 1.1195 |
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+ | No log | 69.3333 | 208 | 1.2710 | 0.2113 | 1.2710 | 1.1274 |
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+ | No log | 70.0 | 210 | 1.3180 | 0.1519 | 1.3180 | 1.1480 |
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+ | No log | 70.6667 | 212 | 1.3173 | 0.1519 | 1.3173 | 1.1477 |
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+ | No log | 71.3333 | 214 | 1.2731 | 0.1968 | 1.2731 | 1.1283 |
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+ | No log | 72.0 | 216 | 1.2584 | 0.2462 | 1.2584 | 1.1218 |
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+ | No log | 72.6667 | 218 | 1.2358 | 0.2156 | 1.2358 | 1.1117 |
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+ | No log | 73.3333 | 220 | 1.2237 | 0.2145 | 1.2237 | 1.1062 |
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+ | No log | 74.0 | 222 | 1.2283 | 0.2145 | 1.2283 | 1.1083 |
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+ | No log | 74.6667 | 224 | 1.2432 | 0.2447 | 1.2432 | 1.1150 |
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+ | No log | 75.3333 | 226 | 1.2583 | 0.2113 | 1.2583 | 1.1218 |
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+ | No log | 76.0 | 228 | 1.2877 | 0.1919 | 1.2877 | 1.1347 |
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+ | No log | 76.6667 | 230 | 1.3094 | 0.1576 | 1.3094 | 1.1443 |
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+ | No log | 77.3333 | 232 | 1.3175 | 0.1687 | 1.3175 | 1.1478 |
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+ | No log | 78.0 | 234 | 1.2824 | 0.2168 | 1.2824 | 1.1324 |
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+ | No log | 78.6667 | 236 | 1.2526 | 0.2113 | 1.2526 | 1.1192 |
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+ | No log | 79.3333 | 238 | 1.2195 | 0.1903 | 1.2195 | 1.1043 |
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+ | No log | 80.0 | 240 | 1.1946 | 0.2199 | 1.1946 | 1.0930 |
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+ | No log | 80.6667 | 242 | 1.1783 | 0.2187 | 1.1783 | 1.0855 |
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+ | No log | 81.3333 | 244 | 1.1735 | 0.2187 | 1.1735 | 1.0833 |
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+ | No log | 82.0 | 246 | 1.1675 | 0.2187 | 1.1675 | 1.0805 |
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+ | No log | 82.6667 | 248 | 1.1627 | 0.2336 | 1.1627 | 1.0783 |
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+ | No log | 83.3333 | 250 | 1.1619 | 0.2001 | 1.1619 | 1.0779 |
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+ | No log | 84.0 | 252 | 1.1644 | 0.1903 | 1.1644 | 1.0791 |
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+ | No log | 84.6667 | 254 | 1.1647 | 0.2310 | 1.1647 | 1.0792 |
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+ | No log | 85.3333 | 256 | 1.1623 | 0.2001 | 1.1623 | 1.0781 |
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+ | No log | 86.0 | 258 | 1.1574 | 0.2001 | 1.1574 | 1.0758 |
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+ | No log | 86.6667 | 260 | 1.1631 | 0.2001 | 1.1631 | 1.0785 |
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+ | No log | 87.3333 | 262 | 1.1735 | 0.2409 | 1.1735 | 1.0833 |
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+ | No log | 88.0 | 264 | 1.1820 | 0.2462 | 1.1820 | 1.0872 |
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+ | No log | 88.6667 | 266 | 1.1896 | 0.2113 | 1.1896 | 1.0907 |
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+ | No log | 89.3333 | 268 | 1.1964 | 0.2113 | 1.1964 | 1.0938 |
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+ | No log | 90.0 | 270 | 1.2031 | 0.2113 | 1.2031 | 1.0969 |
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+ | No log | 90.6667 | 272 | 1.2008 | 0.2113 | 1.2008 | 1.0958 |
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+ | No log | 91.3333 | 274 | 1.1979 | 0.2310 | 1.1979 | 1.0945 |
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+ | No log | 92.0 | 276 | 1.1964 | 0.1903 | 1.1964 | 1.0938 |
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+ | No log | 92.6667 | 278 | 1.1959 | 0.1903 | 1.1959 | 1.0936 |
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+ | No log | 93.3333 | 280 | 1.1963 | 0.1903 | 1.1963 | 1.0937 |
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+ | No log | 94.0 | 282 | 1.1956 | 0.1903 | 1.1956 | 1.0934 |
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+ | No log | 94.6667 | 284 | 1.1954 | 0.1903 | 1.1954 | 1.0933 |
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+ | No log | 95.3333 | 286 | 1.1964 | 0.1903 | 1.1964 | 1.0938 |
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+ | No log | 96.0 | 288 | 1.1980 | 0.1903 | 1.1980 | 1.0945 |
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+ | No log | 96.6667 | 290 | 1.1981 | 0.1903 | 1.1981 | 1.0946 |
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+ | No log | 97.3333 | 292 | 1.1982 | 0.1903 | 1.1982 | 1.0946 |
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+ | No log | 98.0 | 294 | 1.1994 | 0.1903 | 1.1994 | 1.0952 |
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+ | No log | 98.6667 | 296 | 1.2002 | 0.1903 | 1.2002 | 1.0955 |
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+ | No log | 99.3333 | 298 | 1.2005 | 0.1903 | 1.2005 | 1.0957 |
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+ | No log | 100.0 | 300 | 1.2006 | 0.1903 | 1.2006 | 1.0957 |
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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
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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