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ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k17_task2_organization

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  1. README.md +314 -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_k16_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_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_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: 0.8781
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+ - Qwk: 0.4002
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+ - Mse: 0.8781
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+ - Rmse: 0.9371
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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 | 0.0235 | 2 | 4.8130 | 0.0010 | 4.8130 | 2.1938 |
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+ | No log | 0.0471 | 4 | 2.9507 | -0.0517 | 2.9507 | 1.7178 |
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+ | No log | 0.0706 | 6 | 2.0338 | -0.0161 | 2.0338 | 1.4261 |
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+ | No log | 0.0941 | 8 | 1.5618 | 0.0348 | 1.5618 | 1.2497 |
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+ | No log | 0.1176 | 10 | 1.3107 | 0.0395 | 1.3107 | 1.1449 |
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+ | No log | 0.1412 | 12 | 1.5985 | 0.1200 | 1.5985 | 1.2643 |
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+ | No log | 0.1647 | 14 | 1.5986 | 0.0681 | 1.5986 | 1.2644 |
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+ | No log | 0.1882 | 16 | 1.2484 | 0.1495 | 1.2484 | 1.1173 |
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+ | No log | 0.2118 | 18 | 1.3523 | 0.1217 | 1.3523 | 1.1629 |
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+ | No log | 0.2353 | 20 | 1.4684 | 0.1031 | 1.4684 | 1.2118 |
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+ | No log | 0.2588 | 22 | 1.3392 | 0.1379 | 1.3392 | 1.1572 |
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+ | No log | 0.2824 | 24 | 1.1471 | 0.1546 | 1.1471 | 1.0710 |
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+ | No log | 0.3059 | 26 | 1.4422 | 0.0898 | 1.4422 | 1.2009 |
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+ | No log | 0.3294 | 28 | 1.8570 | 0.1068 | 1.8570 | 1.3627 |
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+ | No log | 0.3529 | 30 | 1.7779 | 0.1060 | 1.7779 | 1.3334 |
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+ | No log | 0.3765 | 32 | 1.4941 | 0.0317 | 1.4941 | 1.2223 |
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+ | No log | 0.4 | 34 | 1.2539 | 0.1165 | 1.2539 | 1.1198 |
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+ | No log | 0.4235 | 36 | 1.1342 | 0.2124 | 1.1342 | 1.0650 |
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+ | No log | 0.4471 | 38 | 1.1077 | 0.1814 | 1.1077 | 1.0525 |
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+ | No log | 0.4706 | 40 | 1.1250 | 0.0872 | 1.1250 | 1.0607 |
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+ | No log | 0.4941 | 42 | 1.1057 | 0.1979 | 1.1057 | 1.0515 |
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+ | No log | 0.5176 | 44 | 1.1483 | 0.2289 | 1.1483 | 1.0716 |
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+ | No log | 0.5412 | 46 | 1.2443 | 0.1920 | 1.2443 | 1.1155 |
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+ | No log | 0.5647 | 48 | 1.3180 | 0.1314 | 1.3180 | 1.1480 |
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+ | No log | 0.5882 | 50 | 1.2533 | 0.1920 | 1.2533 | 1.1195 |
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+ | No log | 0.6118 | 52 | 1.2538 | 0.2067 | 1.2538 | 1.1197 |
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+ | No log | 0.6353 | 54 | 1.2465 | 0.2067 | 1.2465 | 1.1165 |
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+ | No log | 0.6588 | 56 | 1.2130 | 0.2067 | 1.2130 | 1.1014 |
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+ | No log | 0.6824 | 58 | 1.0641 | 0.2963 | 1.0641 | 1.0316 |
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+ | No log | 0.7059 | 60 | 1.0040 | 0.2145 | 1.0040 | 1.0020 |
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+ | No log | 0.7294 | 62 | 1.0074 | 0.1642 | 1.0074 | 1.0037 |
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+ | No log | 0.7529 | 64 | 1.0038 | 0.1683 | 1.0038 | 1.0019 |
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+ | No log | 0.7765 | 66 | 1.0441 | 0.2509 | 1.0441 | 1.0218 |
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+ | No log | 0.8 | 68 | 1.0882 | 0.2988 | 1.0882 | 1.0431 |
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+ | No log | 0.8235 | 70 | 1.1860 | 0.2203 | 1.1860 | 1.0890 |
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+ | No log | 0.8471 | 72 | 1.1787 | 0.1715 | 1.1787 | 1.0857 |
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+ | No log | 0.8706 | 74 | 1.0626 | 0.3544 | 1.0626 | 1.0308 |
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+ | No log | 0.8941 | 76 | 0.9926 | 0.2835 | 0.9926 | 0.9963 |
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+ | No log | 0.9176 | 78 | 1.0354 | 0.2130 | 1.0354 | 1.0175 |
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+ | No log | 0.9412 | 80 | 1.2060 | 0.2250 | 1.2060 | 1.0982 |
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+ | No log | 0.9647 | 82 | 1.1571 | 0.2975 | 1.1571 | 1.0757 |
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+ | No log | 0.9882 | 84 | 1.0381 | 0.2830 | 1.0381 | 1.0189 |
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+ | No log | 1.0118 | 86 | 1.1027 | 0.2844 | 1.1027 | 1.0501 |
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+ | No log | 1.0353 | 88 | 1.1756 | 0.2232 | 1.1756 | 1.0843 |
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+ | No log | 1.0588 | 90 | 1.1343 | 0.2917 | 1.1343 | 1.0650 |
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+ | No log | 1.0824 | 92 | 1.2125 | 0.1904 | 1.2125 | 1.1011 |
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+ | No log | 1.1059 | 94 | 1.4439 | 0.2117 | 1.4439 | 1.2016 |
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+ | No log | 1.1294 | 96 | 1.5396 | 0.1817 | 1.5396 | 1.2408 |
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+ | No log | 1.1529 | 98 | 1.3318 | 0.2736 | 1.3318 | 1.1540 |
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+ | No log | 1.1765 | 100 | 1.1265 | 0.2069 | 1.1265 | 1.0614 |
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+ | No log | 1.2 | 102 | 1.1247 | 0.1560 | 1.1247 | 1.0605 |
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+ | No log | 1.2235 | 104 | 1.2195 | 0.2100 | 1.2195 | 1.1043 |
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+ | No log | 1.2471 | 106 | 1.1975 | 0.2044 | 1.1975 | 1.0943 |
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+ | No log | 1.2706 | 108 | 1.0899 | 0.3309 | 1.0899 | 1.0440 |
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+ | No log | 1.2941 | 110 | 1.2255 | 0.3222 | 1.2255 | 1.1070 |
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+ | No log | 1.3176 | 112 | 1.3698 | 0.3791 | 1.3698 | 1.1704 |
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+ | No log | 1.3412 | 114 | 1.2585 | 0.3354 | 1.2585 | 1.1218 |
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+ | No log | 1.3647 | 116 | 1.1373 | 0.2802 | 1.1373 | 1.0665 |
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+ | No log | 1.3882 | 118 | 1.1393 | 0.2483 | 1.1393 | 1.0674 |
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+ | No log | 1.4118 | 120 | 1.1207 | 0.3664 | 1.1207 | 1.0586 |
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+ | No log | 1.4353 | 122 | 1.3573 | 0.3649 | 1.3573 | 1.1650 |
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+ | No log | 1.4588 | 124 | 1.8362 | 0.2461 | 1.8362 | 1.3551 |
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+ | No log | 1.4824 | 126 | 1.7874 | 0.2461 | 1.7874 | 1.3369 |
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+ | No log | 1.5059 | 128 | 1.3810 | 0.3980 | 1.3810 | 1.1752 |
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+ | No log | 1.5294 | 130 | 1.0124 | 0.3918 | 1.0124 | 1.0062 |
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+ | No log | 1.5529 | 132 | 0.9528 | 0.4050 | 0.9528 | 0.9761 |
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+ | No log | 1.5765 | 134 | 0.9658 | 0.3854 | 0.9658 | 0.9827 |
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+ | No log | 1.6 | 136 | 0.9860 | 0.4254 | 0.9860 | 0.9930 |
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+ | No log | 1.6235 | 138 | 0.9695 | 0.3982 | 0.9695 | 0.9846 |
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+ | No log | 1.6471 | 140 | 0.9447 | 0.4377 | 0.9447 | 0.9720 |
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+ | No log | 1.6706 | 142 | 0.9601 | 0.4106 | 0.9601 | 0.9799 |
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+ | No log | 1.6941 | 144 | 0.9664 | 0.4841 | 0.9664 | 0.9831 |
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+ | No log | 1.7176 | 146 | 0.9634 | 0.4841 | 0.9634 | 0.9815 |
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+ | No log | 1.7412 | 148 | 0.9405 | 0.4996 | 0.9405 | 0.9698 |
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+ | No log | 1.7647 | 150 | 0.9513 | 0.4358 | 0.9513 | 0.9753 |
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+ | No log | 1.7882 | 152 | 0.9215 | 0.4196 | 0.9215 | 0.9600 |
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+ | No log | 1.8118 | 154 | 1.0341 | 0.4007 | 1.0341 | 1.0169 |
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+ | No log | 1.8353 | 156 | 1.0499 | 0.4007 | 1.0499 | 1.0247 |
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+ | No log | 1.8588 | 158 | 0.9306 | 0.3940 | 0.9307 | 0.9647 |
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+ | No log | 1.8824 | 160 | 1.0023 | 0.4023 | 1.0023 | 1.0012 |
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+ | No log | 1.9059 | 162 | 1.0031 | 0.3972 | 1.0031 | 1.0016 |
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+ | No log | 1.9294 | 164 | 0.9221 | 0.4066 | 0.9221 | 0.9603 |
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+ | No log | 1.9529 | 166 | 0.9320 | 0.4160 | 0.9320 | 0.9654 |
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+ | No log | 1.9765 | 168 | 0.9882 | 0.4248 | 0.9882 | 0.9941 |
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+ | No log | 2.0 | 170 | 1.1909 | 0.3991 | 1.1909 | 1.0913 |
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+ | No log | 2.0235 | 172 | 1.2552 | 0.3857 | 1.2552 | 1.1203 |
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+ | No log | 2.0471 | 174 | 1.1104 | 0.3701 | 1.1104 | 1.0537 |
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+ | No log | 2.0706 | 176 | 1.0080 | 0.4248 | 1.0080 | 1.0040 |
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+ | No log | 2.0941 | 178 | 1.0917 | 0.3535 | 1.0917 | 1.0449 |
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+ | No log | 2.1176 | 180 | 1.1963 | 0.3416 | 1.1963 | 1.0938 |
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+ | No log | 2.1412 | 182 | 1.0834 | 0.4227 | 1.0834 | 1.0409 |
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+ | No log | 2.1647 | 184 | 0.9577 | 0.4650 | 0.9577 | 0.9786 |
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+ | No log | 2.1882 | 186 | 1.0123 | 0.4114 | 1.0123 | 1.0061 |
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+ | No log | 2.2118 | 188 | 1.1284 | 0.4101 | 1.1284 | 1.0623 |
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+ | No log | 2.2353 | 190 | 1.0608 | 0.3427 | 1.0608 | 1.0299 |
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+ | No log | 2.2588 | 192 | 1.0430 | 0.3230 | 1.0430 | 1.0213 |
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+ | No log | 2.2824 | 194 | 1.0426 | 0.3230 | 1.0426 | 1.0211 |
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+ | No log | 2.3059 | 196 | 1.0387 | 0.3261 | 1.0387 | 1.0191 |
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+ | No log | 2.3294 | 198 | 0.9928 | 0.3590 | 0.9928 | 0.9964 |
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+ | No log | 2.3529 | 200 | 1.0208 | 0.3733 | 1.0208 | 1.0104 |
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+ | No log | 2.3765 | 202 | 0.9822 | 0.3764 | 0.9822 | 0.9911 |
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+ | No log | 2.4 | 204 | 1.0545 | 0.4623 | 1.0545 | 1.0269 |
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+ | No log | 2.4235 | 206 | 1.1089 | 0.4697 | 1.1089 | 1.0530 |
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+ | No log | 2.4471 | 208 | 1.1109 | 0.4586 | 1.1109 | 1.0540 |
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+ | No log | 2.4706 | 210 | 0.9738 | 0.3833 | 0.9738 | 0.9868 |
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+ | No log | 2.4941 | 212 | 0.9691 | 0.4554 | 0.9691 | 0.9844 |
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+ | No log | 2.5176 | 214 | 0.9708 | 0.4847 | 0.9708 | 0.9853 |
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+ | No log | 2.5412 | 216 | 0.9923 | 0.3956 | 0.9923 | 0.9961 |
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+ | No log | 2.5647 | 218 | 1.0262 | 0.3719 | 1.0262 | 1.0130 |
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+ | No log | 2.5882 | 220 | 1.0109 | 0.3759 | 1.0109 | 1.0054 |
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+ | No log | 2.6118 | 222 | 0.9602 | 0.3500 | 0.9602 | 0.9799 |
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+ | No log | 2.6353 | 224 | 1.0063 | 0.3759 | 1.0063 | 1.0032 |
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+ | No log | 2.6588 | 226 | 1.0064 | 0.3891 | 1.0064 | 1.0032 |
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+ | No log | 2.6824 | 228 | 0.9250 | 0.3427 | 0.9250 | 0.9618 |
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+ | No log | 2.7059 | 230 | 1.0125 | 0.4257 | 1.0125 | 1.0063 |
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+ | No log | 2.7294 | 232 | 1.1061 | 0.3907 | 1.1061 | 1.0517 |
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+ | No log | 2.7529 | 234 | 1.0209 | 0.4485 | 1.0209 | 1.0104 |
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+ | No log | 2.7765 | 236 | 0.9507 | 0.5186 | 0.9507 | 0.9750 |
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+ | No log | 2.8 | 238 | 0.9410 | 0.4966 | 0.9410 | 0.9700 |
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+ | No log | 2.8235 | 240 | 0.9927 | 0.4463 | 0.9927 | 0.9963 |
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+ | No log | 2.8471 | 242 | 1.0371 | 0.4339 | 1.0371 | 1.0184 |
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+ | No log | 2.8706 | 244 | 0.9727 | 0.4639 | 0.9727 | 0.9862 |
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+ | No log | 2.8941 | 246 | 0.9906 | 0.4639 | 0.9906 | 0.9953 |
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+ | No log | 2.9176 | 248 | 1.0128 | 0.4501 | 1.0128 | 1.0064 |
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+ | No log | 2.9412 | 250 | 0.9825 | 0.4560 | 0.9825 | 0.9912 |
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+ | No log | 2.9647 | 252 | 0.9694 | 0.4700 | 0.9694 | 0.9846 |
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+ | No log | 2.9882 | 254 | 0.9643 | 0.4002 | 0.9643 | 0.9820 |
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+ | No log | 3.0118 | 256 | 1.0136 | 0.4394 | 1.0136 | 1.0068 |
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+ | No log | 3.0353 | 258 | 1.1651 | 0.3301 | 1.1651 | 1.0794 |
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+ | No log | 3.0588 | 260 | 1.2218 | 0.2983 | 1.2218 | 1.1054 |
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+ | No log | 3.0824 | 262 | 1.1154 | 0.3460 | 1.1154 | 1.0561 |
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+ | No log | 3.1059 | 264 | 1.0256 | 0.2899 | 1.0256 | 1.0127 |
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+ | No log | 3.1294 | 266 | 0.9985 | 0.2587 | 0.9985 | 0.9992 |
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+ | No log | 3.1529 | 268 | 0.9750 | 0.3045 | 0.9750 | 0.9874 |
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+ | No log | 3.1765 | 270 | 0.9613 | 0.3094 | 0.9613 | 0.9805 |
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+ | No log | 3.2 | 272 | 1.0127 | 0.3191 | 1.0127 | 1.0063 |
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+ | No log | 3.2235 | 274 | 1.3499 | 0.3617 | 1.3499 | 1.1618 |
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+ | No log | 3.2471 | 276 | 1.6029 | 0.2549 | 1.6029 | 1.2660 |
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+ | No log | 3.2706 | 278 | 1.4868 | 0.3008 | 1.4868 | 1.2194 |
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+ | No log | 3.2941 | 280 | 1.1675 | 0.3647 | 1.1675 | 1.0805 |
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+ | No log | 3.3176 | 282 | 1.0175 | 0.2865 | 1.0175 | 1.0087 |
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+ | No log | 3.3412 | 284 | 0.9709 | 0.1935 | 0.9709 | 0.9853 |
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+ | No log | 3.3647 | 286 | 0.9748 | 0.2503 | 0.9748 | 0.9873 |
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+ | No log | 3.3882 | 288 | 0.9951 | 0.3343 | 0.9951 | 0.9975 |
196
+ | No log | 3.4118 | 290 | 0.9469 | 0.3720 | 0.9469 | 0.9731 |
197
+ | No log | 3.4353 | 292 | 0.9075 | 0.3641 | 0.9075 | 0.9526 |
198
+ | No log | 3.4588 | 294 | 0.8893 | 0.3337 | 0.8893 | 0.9430 |
199
+ | No log | 3.4824 | 296 | 0.9171 | 0.4337 | 0.9171 | 0.9577 |
200
+ | No log | 3.5059 | 298 | 0.9419 | 0.3945 | 0.9419 | 0.9705 |
201
+ | No log | 3.5294 | 300 | 0.9667 | 0.3918 | 0.9667 | 0.9832 |
202
+ | No log | 3.5529 | 302 | 0.9049 | 0.4013 | 0.9049 | 0.9512 |
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+ | No log | 3.5765 | 304 | 0.8736 | 0.4734 | 0.8736 | 0.9346 |
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+ | No log | 3.6 | 306 | 0.8618 | 0.4180 | 0.8618 | 0.9283 |
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+ | No log | 3.6235 | 308 | 0.8639 | 0.4180 | 0.8639 | 0.9294 |
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+ | No log | 3.6471 | 310 | 0.9177 | 0.3613 | 0.9177 | 0.9580 |
207
+ | No log | 3.6706 | 312 | 1.1452 | 0.4988 | 1.1452 | 1.0701 |
208
+ | No log | 3.6941 | 314 | 1.3663 | 0.3127 | 1.3663 | 1.1689 |
209
+ | No log | 3.7176 | 316 | 1.3914 | 0.3401 | 1.3914 | 1.1796 |
210
+ | No log | 3.7412 | 318 | 1.4542 | 0.3381 | 1.4542 | 1.2059 |
211
+ | No log | 3.7647 | 320 | 1.2675 | 0.3723 | 1.2675 | 1.1258 |
212
+ | No log | 3.7882 | 322 | 1.1653 | 0.3574 | 1.1653 | 1.0795 |
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+ | No log | 3.8118 | 324 | 1.1857 | 0.3109 | 1.1857 | 1.0889 |
214
+ | No log | 3.8353 | 326 | 1.2560 | 0.3293 | 1.2560 | 1.1207 |
215
+ | No log | 3.8588 | 328 | 1.3444 | 0.3935 | 1.3444 | 1.1595 |
216
+ | No log | 3.8824 | 330 | 1.3176 | 0.3523 | 1.3176 | 1.1479 |
217
+ | No log | 3.9059 | 332 | 1.2152 | 0.3554 | 1.2152 | 1.1023 |
218
+ | No log | 3.9294 | 334 | 1.0565 | 0.2377 | 1.0565 | 1.0278 |
219
+ | No log | 3.9529 | 336 | 0.9956 | 0.3074 | 0.9956 | 0.9978 |
220
+ | No log | 3.9765 | 338 | 0.9960 | 0.2496 | 0.9960 | 0.9980 |
221
+ | No log | 4.0 | 340 | 0.9900 | 0.2496 | 0.9900 | 0.9950 |
222
+ | No log | 4.0235 | 342 | 0.9590 | 0.2969 | 0.9590 | 0.9793 |
223
+ | No log | 4.0471 | 344 | 0.9712 | 0.2945 | 0.9712 | 0.9855 |
224
+ | No log | 4.0706 | 346 | 0.9703 | 0.2945 | 0.9703 | 0.9850 |
225
+ | No log | 4.0941 | 348 | 0.9657 | 0.2246 | 0.9657 | 0.9827 |
226
+ | No log | 4.1176 | 350 | 0.9565 | 0.3483 | 0.9565 | 0.9780 |
227
+ | No log | 4.1412 | 352 | 1.0032 | 0.3859 | 1.0032 | 1.0016 |
228
+ | No log | 4.1647 | 354 | 1.0925 | 0.4344 | 1.0925 | 1.0452 |
229
+ | No log | 4.1882 | 356 | 1.0171 | 0.4311 | 1.0171 | 1.0085 |
230
+ | No log | 4.2118 | 358 | 0.9289 | 0.4014 | 0.9289 | 0.9638 |
231
+ | No log | 4.2353 | 360 | 0.9439 | 0.5131 | 0.9439 | 0.9716 |
232
+ | No log | 4.2588 | 362 | 0.9155 | 0.4729 | 0.9155 | 0.9568 |
233
+ | No log | 4.2824 | 364 | 0.9165 | 0.4211 | 0.9165 | 0.9574 |
234
+ | No log | 4.3059 | 366 | 1.0362 | 0.4668 | 1.0362 | 1.0179 |
235
+ | No log | 4.3294 | 368 | 1.1478 | 0.4059 | 1.1478 | 1.0713 |
236
+ | No log | 4.3529 | 370 | 1.0495 | 0.4815 | 1.0495 | 1.0244 |
237
+ | No log | 4.3765 | 372 | 0.9146 | 0.3775 | 0.9146 | 0.9564 |
238
+ | No log | 4.4 | 374 | 0.8732 | 0.4257 | 0.8732 | 0.9345 |
239
+ | No log | 4.4235 | 376 | 0.8495 | 0.4715 | 0.8495 | 0.9217 |
240
+ | No log | 4.4471 | 378 | 0.8529 | 0.5374 | 0.8529 | 0.9235 |
241
+ | No log | 4.4706 | 380 | 0.8403 | 0.5086 | 0.8403 | 0.9167 |
242
+ | No log | 4.4941 | 382 | 0.8644 | 0.4515 | 0.8644 | 0.9297 |
243
+ | No log | 4.5176 | 384 | 0.8906 | 0.5168 | 0.8906 | 0.9437 |
244
+ | No log | 4.5412 | 386 | 0.9400 | 0.5430 | 0.9400 | 0.9695 |
245
+ | No log | 4.5647 | 388 | 0.9749 | 0.5125 | 0.9749 | 0.9873 |
246
+ | No log | 4.5882 | 390 | 0.8851 | 0.5390 | 0.8851 | 0.9408 |
247
+ | No log | 4.6118 | 392 | 0.8410 | 0.4479 | 0.8410 | 0.9171 |
248
+ | No log | 4.6353 | 394 | 0.8617 | 0.4429 | 0.8617 | 0.9283 |
249
+ | No log | 4.6588 | 396 | 0.9121 | 0.4371 | 0.9121 | 0.9550 |
250
+ | No log | 4.6824 | 398 | 0.9051 | 0.3862 | 0.9051 | 0.9514 |
251
+ | No log | 4.7059 | 400 | 0.8663 | 0.4455 | 0.8663 | 0.9308 |
252
+ | No log | 4.7294 | 402 | 0.9430 | 0.3879 | 0.9430 | 0.9711 |
253
+ | No log | 4.7529 | 404 | 1.0383 | 0.3838 | 1.0383 | 1.0190 |
254
+ | No log | 4.7765 | 406 | 1.0174 | 0.3711 | 1.0174 | 1.0087 |
255
+ | No log | 4.8 | 408 | 0.9478 | 0.3666 | 0.9478 | 0.9736 |
256
+ | No log | 4.8235 | 410 | 0.9122 | 0.2711 | 0.9122 | 0.9551 |
257
+ | No log | 4.8471 | 412 | 0.9256 | 0.2711 | 0.9256 | 0.9621 |
258
+ | No log | 4.8706 | 414 | 0.9489 | 0.2503 | 0.9489 | 0.9741 |
259
+ | No log | 4.8941 | 416 | 1.0258 | 0.3243 | 1.0258 | 1.0128 |
260
+ | No log | 4.9176 | 418 | 1.1355 | 0.3831 | 1.1355 | 1.0656 |
261
+ | No log | 4.9412 | 420 | 1.2029 | 0.4481 | 1.2029 | 1.0968 |
262
+ | No log | 4.9647 | 422 | 1.2015 | 0.4681 | 1.2015 | 1.0961 |
263
+ | No log | 4.9882 | 424 | 1.1487 | 0.4276 | 1.1487 | 1.0718 |
264
+ | No log | 5.0118 | 426 | 1.0901 | 0.4089 | 1.0901 | 1.0441 |
265
+ | No log | 5.0353 | 428 | 1.0654 | 0.3602 | 1.0654 | 1.0322 |
266
+ | No log | 5.0588 | 430 | 1.1050 | 0.3361 | 1.1050 | 1.0512 |
267
+ | No log | 5.0824 | 432 | 1.1272 | 0.3474 | 1.1272 | 1.0617 |
268
+ | No log | 5.1059 | 434 | 1.1348 | 0.4410 | 1.1348 | 1.0652 |
269
+ | No log | 5.1294 | 436 | 1.1486 | 0.4276 | 1.1486 | 1.0717 |
270
+ | No log | 5.1529 | 438 | 1.1088 | 0.4186 | 1.1088 | 1.0530 |
271
+ | No log | 5.1765 | 440 | 1.0524 | 0.4354 | 1.0524 | 1.0258 |
272
+ | No log | 5.2 | 442 | 1.0358 | 0.3897 | 1.0358 | 1.0177 |
273
+ | No log | 5.2235 | 444 | 1.0524 | 0.3517 | 1.0524 | 1.0259 |
274
+ | No log | 5.2471 | 446 | 1.0602 | 0.3503 | 1.0602 | 1.0296 |
275
+ | No log | 5.2706 | 448 | 1.0503 | 0.3361 | 1.0503 | 1.0248 |
276
+ | No log | 5.2941 | 450 | 0.9819 | 0.4025 | 0.9819 | 0.9909 |
277
+ | No log | 5.3176 | 452 | 0.9219 | 0.4062 | 0.9219 | 0.9602 |
278
+ | No log | 5.3412 | 454 | 0.9009 | 0.3812 | 0.9009 | 0.9491 |
279
+ | No log | 5.3647 | 456 | 0.9120 | 0.3812 | 0.9120 | 0.9550 |
280
+ | No log | 5.3882 | 458 | 0.9204 | 0.4062 | 0.9204 | 0.9594 |
281
+ | No log | 5.4118 | 460 | 0.9637 | 0.3744 | 0.9637 | 0.9817 |
282
+ | No log | 5.4353 | 462 | 1.0422 | 0.3831 | 1.0422 | 1.0209 |
283
+ | No log | 5.4588 | 464 | 1.0647 | 0.4065 | 1.0647 | 1.0318 |
284
+ | No log | 5.4824 | 466 | 0.9666 | 0.4132 | 0.9666 | 0.9832 |
285
+ | No log | 5.5059 | 468 | 0.8557 | 0.4241 | 0.8557 | 0.9250 |
286
+ | No log | 5.5294 | 470 | 0.8278 | 0.4916 | 0.8278 | 0.9098 |
287
+ | No log | 5.5529 | 472 | 0.8361 | 0.4840 | 0.8361 | 0.9144 |
288
+ | No log | 5.5765 | 474 | 0.9073 | 0.54 | 0.9073 | 0.9525 |
289
+ | No log | 5.6 | 476 | 1.0003 | 0.4989 | 1.0003 | 1.0002 |
290
+ | No log | 5.6235 | 478 | 0.9558 | 0.5140 | 0.9558 | 0.9777 |
291
+ | No log | 5.6471 | 480 | 0.9000 | 0.5218 | 0.9000 | 0.9487 |
292
+ | No log | 5.6706 | 482 | 0.8246 | 0.4681 | 0.8246 | 0.9081 |
293
+ | No log | 5.6941 | 484 | 0.8152 | 0.4385 | 0.8152 | 0.9029 |
294
+ | No log | 5.7176 | 486 | 0.8373 | 0.3775 | 0.8373 | 0.9150 |
295
+ | No log | 5.7412 | 488 | 0.8533 | 0.3775 | 0.8533 | 0.9237 |
296
+ | No log | 5.7647 | 490 | 0.8507 | 0.4211 | 0.8507 | 0.9223 |
297
+ | No log | 5.7882 | 492 | 0.9062 | 0.4961 | 0.9062 | 0.9520 |
298
+ | No log | 5.8118 | 494 | 1.0734 | 0.4625 | 1.0734 | 1.0361 |
299
+ | No log | 5.8353 | 496 | 1.1039 | 0.4625 | 1.1039 | 1.0507 |
300
+ | No log | 5.8588 | 498 | 1.0925 | 0.4894 | 1.0925 | 1.0452 |
301
+ | 0.3945 | 5.8824 | 500 | 0.9419 | 0.5090 | 0.9419 | 0.9705 |
302
+ | 0.3945 | 5.9059 | 502 | 0.9196 | 0.4725 | 0.9196 | 0.9590 |
303
+ | 0.3945 | 5.9294 | 504 | 0.9620 | 0.4804 | 0.9620 | 0.9808 |
304
+ | 0.3945 | 5.9529 | 506 | 0.9375 | 0.4637 | 0.9375 | 0.9682 |
305
+ | 0.3945 | 5.9765 | 508 | 0.8689 | 0.4392 | 0.8689 | 0.9321 |
306
+ | 0.3945 | 6.0 | 510 | 0.8781 | 0.4002 | 0.8781 | 0.9371 |
307
+
308
+
309
+ ### Framework versions
310
+
311
+ - Transformers 4.44.2
312
+ - Pytorch 2.4.0+cu118
313
+ - Datasets 2.21.0
314
+ - Tokenizers 0.19.1
config.json ADDED
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+ "problem_type": "regression",
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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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