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ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k11_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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_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: 1.0252
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+ - Qwk: 0.3066
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+ - Mse: 1.0252
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+ - Rmse: 1.0125
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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 | 0.0377 | 2 | 4.4742 | 0.0042 | 4.4742 | 2.1152 |
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+ | No log | 0.0755 | 4 | 2.5093 | 0.0039 | 2.5093 | 1.5841 |
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+ | No log | 0.1132 | 6 | 1.8385 | 0.0062 | 1.8385 | 1.3559 |
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+ | No log | 0.1509 | 8 | 1.4123 | 0.0538 | 1.4123 | 1.1884 |
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+ | No log | 0.1887 | 10 | 1.3548 | -0.0047 | 1.3548 | 1.1639 |
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+ | No log | 0.2264 | 12 | 1.3870 | 0.0019 | 1.3870 | 1.1777 |
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+ | No log | 0.2642 | 14 | 1.3850 | 0.0169 | 1.3850 | 1.1769 |
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+ | No log | 0.3019 | 16 | 1.1644 | 0.2054 | 1.1644 | 1.0791 |
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+ | No log | 0.3396 | 18 | 1.0130 | 0.3451 | 1.0130 | 1.0065 |
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+ | No log | 0.3774 | 20 | 0.9795 | 0.3616 | 0.9795 | 0.9897 |
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+ | No log | 0.4151 | 22 | 1.0669 | 0.3035 | 1.0669 | 1.0329 |
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+ | No log | 0.4528 | 24 | 1.6810 | 0.1837 | 1.6810 | 1.2965 |
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+ | No log | 0.4906 | 26 | 2.0513 | 0.1414 | 2.0513 | 1.4322 |
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+ | No log | 0.5283 | 28 | 1.8477 | 0.2132 | 1.8477 | 1.3593 |
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+ | No log | 0.5660 | 30 | 1.4219 | 0.1739 | 1.4219 | 1.1924 |
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+ | No log | 0.6038 | 32 | 1.1552 | 0.1622 | 1.1552 | 1.0748 |
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+ | No log | 0.6415 | 34 | 1.1092 | 0.2672 | 1.1092 | 1.0532 |
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+ | No log | 0.6792 | 36 | 1.1322 | 0.2672 | 1.1322 | 1.0640 |
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+ | No log | 0.7170 | 38 | 1.1034 | 0.3256 | 1.1034 | 1.0504 |
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+ | No log | 0.7547 | 40 | 1.1444 | 0.1587 | 1.1444 | 1.0698 |
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+ | No log | 0.7925 | 42 | 1.2803 | 0.1022 | 1.2803 | 1.1315 |
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+ | No log | 0.8302 | 44 | 1.4423 | 0.1304 | 1.4423 | 1.2010 |
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+ | No log | 0.8679 | 46 | 1.8022 | 0.2167 | 1.8022 | 1.3425 |
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+ | No log | 0.9057 | 48 | 1.8018 | 0.2284 | 1.8018 | 1.3423 |
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+ | No log | 0.9434 | 50 | 1.4432 | 0.2248 | 1.4432 | 1.2013 |
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+ | No log | 0.9811 | 52 | 1.1362 | 0.2516 | 1.1362 | 1.0659 |
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+ | No log | 1.0189 | 54 | 1.0621 | 0.3128 | 1.0621 | 1.0306 |
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+ | No log | 1.0566 | 56 | 1.0627 | 0.3128 | 1.0627 | 1.0309 |
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+ | No log | 1.0943 | 58 | 1.1447 | 0.2283 | 1.1447 | 1.0699 |
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+ | No log | 1.1321 | 60 | 1.1734 | 0.2734 | 1.1734 | 1.0833 |
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+ | No log | 1.1698 | 62 | 1.1792 | 0.1694 | 1.1792 | 1.0859 |
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+ | No log | 1.2075 | 64 | 1.1500 | 0.1639 | 1.1500 | 1.0724 |
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+ | No log | 1.2453 | 66 | 1.0425 | 0.3198 | 1.0425 | 1.0210 |
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+ | No log | 1.2830 | 68 | 0.9346 | 0.4717 | 0.9346 | 0.9667 |
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+ | No log | 1.3208 | 70 | 1.0012 | 0.3218 | 1.0012 | 1.0006 |
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+ | No log | 1.3585 | 72 | 1.0764 | 0.3237 | 1.0764 | 1.0375 |
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+ | No log | 1.3962 | 74 | 1.3630 | 0.2857 | 1.3630 | 1.1675 |
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+ | No log | 1.4340 | 76 | 1.6473 | 0.3034 | 1.6473 | 1.2835 |
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+ | No log | 1.4717 | 78 | 1.3690 | 0.2868 | 1.3690 | 1.1700 |
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+ | No log | 1.5094 | 80 | 0.9171 | 0.5253 | 0.9171 | 0.9577 |
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+ | No log | 1.5472 | 82 | 0.8648 | 0.5091 | 0.8648 | 0.9300 |
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+ | No log | 1.5849 | 84 | 0.8424 | 0.5110 | 0.8424 | 0.9178 |
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+ | No log | 1.6226 | 86 | 0.8570 | 0.5007 | 0.8570 | 0.9257 |
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+ | No log | 1.6604 | 88 | 0.9838 | 0.4867 | 0.9838 | 0.9919 |
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+ | No log | 1.6981 | 90 | 0.9072 | 0.4463 | 0.9072 | 0.9525 |
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+ | No log | 1.7358 | 92 | 0.8599 | 0.4158 | 0.8599 | 0.9273 |
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+ | No log | 1.7736 | 94 | 0.8751 | 0.4220 | 0.8751 | 0.9355 |
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+ | No log | 1.8113 | 96 | 0.8592 | 0.4991 | 0.8592 | 0.9269 |
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+ | No log | 1.8491 | 98 | 0.8964 | 0.5098 | 0.8964 | 0.9468 |
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+ | No log | 1.8868 | 100 | 0.8869 | 0.4424 | 0.8869 | 0.9418 |
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+ | No log | 1.9245 | 102 | 0.9195 | 0.3631 | 0.9195 | 0.9589 |
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+ | No log | 1.9623 | 104 | 0.9494 | 0.3311 | 0.9494 | 0.9744 |
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+ | No log | 2.0 | 106 | 0.9703 | 0.3311 | 0.9703 | 0.9850 |
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+ | No log | 2.0377 | 108 | 1.0089 | 0.4694 | 1.0089 | 1.0044 |
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+ | No log | 2.0755 | 110 | 1.0536 | 0.4472 | 1.0536 | 1.0264 |
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+ | No log | 2.1132 | 112 | 1.0220 | 0.4125 | 1.0220 | 1.0110 |
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+ | No log | 2.1509 | 114 | 1.0868 | 0.3329 | 1.0868 | 1.0425 |
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+ | No log | 2.1887 | 116 | 1.1003 | 0.3080 | 1.1003 | 1.0489 |
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+ | No log | 2.2264 | 118 | 1.0726 | 0.3957 | 1.0726 | 1.0357 |
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+ | No log | 2.2642 | 120 | 1.0965 | 0.4238 | 1.0965 | 1.0471 |
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+ | No log | 2.3019 | 122 | 1.0501 | 0.4240 | 1.0501 | 1.0248 |
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+ | No log | 2.3396 | 124 | 1.0352 | 0.2944 | 1.0352 | 1.0175 |
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+ | No log | 2.3774 | 126 | 1.1073 | 0.3189 | 1.1073 | 1.0523 |
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+ | No log | 2.4151 | 128 | 1.0919 | 0.3441 | 1.0919 | 1.0449 |
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+ | No log | 2.4528 | 130 | 1.0665 | 0.3699 | 1.0665 | 1.0327 |
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+ | No log | 2.4906 | 132 | 1.1946 | 0.4412 | 1.1946 | 1.0930 |
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+ | No log | 2.5283 | 134 | 1.2376 | 0.4395 | 1.2376 | 1.1125 |
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+ | No log | 2.5660 | 136 | 1.1117 | 0.4657 | 1.1117 | 1.0544 |
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+ | No log | 2.6038 | 138 | 1.0976 | 0.3393 | 1.0976 | 1.0477 |
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+ | No log | 2.6415 | 140 | 1.1471 | 0.3953 | 1.1471 | 1.0710 |
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+ | No log | 2.6792 | 142 | 1.0594 | 0.3627 | 1.0594 | 1.0293 |
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+ | No log | 2.7170 | 144 | 0.9729 | 0.3995 | 0.9729 | 0.9863 |
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+ | No log | 2.7547 | 146 | 0.9931 | 0.3400 | 0.9931 | 0.9965 |
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+ | No log | 2.7925 | 148 | 1.0019 | 0.3975 | 1.0019 | 1.0009 |
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+ | No log | 2.8302 | 150 | 1.0197 | 0.3386 | 1.0197 | 1.0098 |
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+ | No log | 2.8679 | 152 | 1.3096 | 0.3470 | 1.3096 | 1.1444 |
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+ | No log | 2.9057 | 154 | 1.3772 | 0.2459 | 1.3772 | 1.1735 |
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+ | No log | 2.9434 | 156 | 1.1542 | 0.3430 | 1.1542 | 1.0744 |
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+ | No log | 2.9811 | 158 | 1.0306 | 0.2060 | 1.0306 | 1.0152 |
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+ | No log | 3.0189 | 160 | 1.0321 | 0.3661 | 1.0321 | 1.0159 |
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+ | No log | 3.0566 | 162 | 1.0446 | 0.3661 | 1.0446 | 1.0220 |
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+ | No log | 3.0943 | 164 | 1.0716 | 0.2945 | 1.0716 | 1.0352 |
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+ | No log | 3.1321 | 166 | 1.2548 | 0.3792 | 1.2548 | 1.1202 |
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+ | No log | 3.1698 | 168 | 1.2318 | 0.3792 | 1.2318 | 1.1098 |
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+ | No log | 3.2075 | 170 | 1.0594 | 0.3775 | 1.0594 | 1.0293 |
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+ | No log | 3.2453 | 172 | 0.9922 | 0.3957 | 0.9922 | 0.9961 |
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+ | No log | 3.2830 | 174 | 1.0032 | 0.3975 | 1.0032 | 1.0016 |
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+ | No log | 3.3208 | 176 | 1.0041 | 0.3298 | 1.0041 | 1.0021 |
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+ | No log | 3.3585 | 178 | 0.9927 | 0.2843 | 0.9927 | 0.9963 |
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+ | No log | 3.3962 | 180 | 1.0007 | 0.2509 | 1.0007 | 1.0004 |
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+ | No log | 3.4340 | 182 | 1.0114 | 0.2775 | 1.0114 | 1.0057 |
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+ | No log | 3.4717 | 184 | 1.0192 | 0.2709 | 1.0192 | 1.0096 |
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+ | No log | 3.5094 | 186 | 1.0400 | 0.3459 | 1.0400 | 1.0198 |
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+ | No log | 3.5472 | 188 | 1.0593 | 0.4093 | 1.0593 | 1.0292 |
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+ | No log | 3.5849 | 190 | 1.0589 | 0.3089 | 1.0589 | 1.0290 |
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+ | No log | 3.6226 | 192 | 1.0768 | 0.2567 | 1.0768 | 1.0377 |
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+ | No log | 3.6604 | 194 | 1.1010 | 0.1959 | 1.1010 | 1.0493 |
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+ | No log | 3.6981 | 196 | 1.1070 | 0.3018 | 1.1070 | 1.0521 |
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+ | No log | 3.7358 | 198 | 1.0903 | 0.3282 | 1.0903 | 1.0442 |
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+ | No log | 3.7736 | 200 | 1.0875 | 0.2388 | 1.0875 | 1.0428 |
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+ | No log | 3.8113 | 202 | 1.1519 | 0.1980 | 1.1519 | 1.0733 |
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+ | No log | 3.8491 | 204 | 1.2162 | 0.3226 | 1.2162 | 1.1028 |
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+ | No log | 3.8868 | 206 | 1.2103 | 0.2987 | 1.2103 | 1.1001 |
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+ | No log | 3.9245 | 208 | 1.1462 | 0.3011 | 1.1462 | 1.0706 |
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+ | No log | 3.9623 | 210 | 1.1096 | 0.3949 | 1.1096 | 1.0534 |
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+ | No log | 4.0 | 212 | 1.0904 | 0.4073 | 1.0904 | 1.0442 |
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+ | No log | 4.0377 | 214 | 1.0644 | 0.3279 | 1.0644 | 1.0317 |
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+ | No log | 4.0755 | 216 | 1.0721 | 0.3013 | 1.0721 | 1.0354 |
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+ | No log | 4.1132 | 218 | 1.0922 | 0.3059 | 1.0922 | 1.0451 |
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+ | No log | 4.1509 | 220 | 1.0760 | 0.2918 | 1.0760 | 1.0373 |
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+ | No log | 4.1887 | 222 | 1.0726 | 0.1951 | 1.0726 | 1.0357 |
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+ | No log | 4.2264 | 224 | 1.0779 | 0.1935 | 1.0779 | 1.0382 |
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+ | No log | 4.2642 | 226 | 1.0707 | 0.1838 | 1.0707 | 1.0347 |
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+ | No log | 4.3019 | 228 | 1.0758 | 0.2323 | 1.0758 | 1.0372 |
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+ | No log | 4.3396 | 230 | 1.1276 | 0.2424 | 1.1276 | 1.0619 |
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+ | No log | 4.3774 | 232 | 1.1936 | 0.2424 | 1.1936 | 1.0925 |
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+ | No log | 4.4151 | 234 | 1.2093 | 0.2398 | 1.2093 | 1.0997 |
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+ | No log | 4.4528 | 236 | 1.1456 | 0.2700 | 1.1456 | 1.0703 |
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+ | No log | 4.4906 | 238 | 1.1115 | 0.2892 | 1.1115 | 1.0543 |
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+ | No log | 4.5283 | 240 | 1.0644 | 0.2850 | 1.0644 | 1.0317 |
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+ | No log | 4.5660 | 242 | 1.0619 | 0.2461 | 1.0619 | 1.0305 |
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+ | No log | 4.6038 | 244 | 1.0269 | 0.2843 | 1.0269 | 1.0134 |
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+ | No log | 4.6415 | 246 | 1.0342 | 0.2892 | 1.0342 | 1.0169 |
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+ | No log | 4.6792 | 248 | 1.0378 | 0.2941 | 1.0378 | 1.0187 |
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+ | No log | 4.7170 | 250 | 1.0224 | 0.3482 | 1.0224 | 1.0111 |
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+ | No log | 4.7547 | 252 | 1.0360 | 0.3852 | 1.0360 | 1.0179 |
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+ | No log | 4.7925 | 254 | 1.0995 | 0.3193 | 1.0995 | 1.0486 |
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+ | No log | 4.8302 | 256 | 1.2019 | 0.3584 | 1.2019 | 1.0963 |
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+ | No log | 4.8679 | 258 | 1.1300 | 0.3622 | 1.1300 | 1.0630 |
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+ | No log | 4.9057 | 260 | 0.9924 | 0.3256 | 0.9924 | 0.9962 |
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+ | No log | 4.9434 | 262 | 0.9725 | 0.3396 | 0.9725 | 0.9862 |
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+ | No log | 4.9811 | 264 | 1.0066 | 0.3707 | 1.0066 | 1.0033 |
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+ | No log | 5.0189 | 266 | 0.9789 | 0.3093 | 0.9789 | 0.9894 |
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+ | No log | 5.0566 | 268 | 0.9803 | 0.4158 | 0.9803 | 0.9901 |
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+ | No log | 5.0943 | 270 | 1.1047 | 0.3249 | 1.1047 | 1.0511 |
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+ | No log | 5.1321 | 272 | 1.2229 | 0.3453 | 1.2229 | 1.1059 |
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+ | No log | 5.1698 | 274 | 1.1836 | 0.3584 | 1.1836 | 1.0879 |
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+ | No log | 5.2075 | 276 | 1.1204 | 0.3976 | 1.1204 | 1.0585 |
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+ | No log | 5.2453 | 278 | 1.0159 | 0.3567 | 1.0159 | 1.0079 |
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+ | No log | 5.2830 | 280 | 1.0011 | 0.3409 | 1.0011 | 1.0006 |
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+ | No log | 5.3208 | 282 | 1.0081 | 0.3758 | 1.0081 | 1.0040 |
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+ | No log | 5.3585 | 284 | 1.0695 | 0.3625 | 1.0695 | 1.0342 |
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+ | No log | 5.3962 | 286 | 1.1067 | 0.3424 | 1.1067 | 1.0520 |
195
+ | No log | 5.4340 | 288 | 1.1436 | 0.3249 | 1.1436 | 1.0694 |
196
+ | No log | 5.4717 | 290 | 1.1885 | 0.3249 | 1.1885 | 1.0902 |
197
+ | No log | 5.5094 | 292 | 1.1403 | 0.3330 | 1.1403 | 1.0679 |
198
+ | No log | 5.5472 | 294 | 1.0872 | 0.2651 | 1.0872 | 1.0427 |
199
+ | No log | 5.5849 | 296 | 1.0364 | 0.3361 | 1.0364 | 1.0180 |
200
+ | No log | 5.6226 | 298 | 1.0655 | 0.3756 | 1.0655 | 1.0322 |
201
+ | No log | 5.6604 | 300 | 1.0610 | 0.3520 | 1.0610 | 1.0301 |
202
+ | No log | 5.6981 | 302 | 1.0375 | 0.3160 | 1.0375 | 1.0186 |
203
+ | No log | 5.7358 | 304 | 1.0381 | 0.2633 | 1.0381 | 1.0189 |
204
+ | No log | 5.7736 | 306 | 1.0618 | 0.3149 | 1.0618 | 1.0304 |
205
+ | No log | 5.8113 | 308 | 1.0274 | 0.3276 | 1.0274 | 1.0136 |
206
+ | No log | 5.8491 | 310 | 1.0322 | 0.3082 | 1.0322 | 1.0160 |
207
+ | No log | 5.8868 | 312 | 1.0458 | 0.2748 | 1.0458 | 1.0226 |
208
+ | No log | 5.9245 | 314 | 1.0907 | 0.3008 | 1.0907 | 1.0444 |
209
+ | No log | 5.9623 | 316 | 1.0974 | 0.2501 | 1.0974 | 1.0476 |
210
+ | No log | 6.0 | 318 | 1.0827 | 0.2249 | 1.0827 | 1.0405 |
211
+ | No log | 6.0377 | 320 | 1.0741 | 0.2812 | 1.0741 | 1.0364 |
212
+ | No log | 6.0755 | 322 | 1.0849 | 0.2158 | 1.0849 | 1.0416 |
213
+ | No log | 6.1132 | 324 | 1.1656 | 0.2685 | 1.1656 | 1.0796 |
214
+ | No log | 6.1509 | 326 | 1.1696 | 0.2685 | 1.1696 | 1.0815 |
215
+ | No log | 6.1887 | 328 | 1.1172 | 0.2795 | 1.1172 | 1.0570 |
216
+ | No log | 6.2264 | 330 | 1.0766 | 0.2871 | 1.0766 | 1.0376 |
217
+ | No log | 6.2642 | 332 | 1.1007 | 0.2651 | 1.1007 | 1.0491 |
218
+ | No log | 6.3019 | 334 | 1.1475 | 0.2685 | 1.1475 | 1.0712 |
219
+ | No log | 6.3396 | 336 | 1.1216 | 0.2605 | 1.1216 | 1.0591 |
220
+ | No log | 6.3774 | 338 | 1.0634 | 0.3541 | 1.0634 | 1.0312 |
221
+ | No log | 6.4151 | 340 | 1.0587 | 0.3283 | 1.0587 | 1.0289 |
222
+ | No log | 6.4528 | 342 | 1.0684 | 0.2410 | 1.0684 | 1.0336 |
223
+ | No log | 6.4906 | 344 | 1.0511 | 0.2843 | 1.0511 | 1.0252 |
224
+ | No log | 6.5283 | 346 | 1.0210 | 0.3134 | 1.0210 | 1.0104 |
225
+ | No log | 6.5660 | 348 | 1.0241 | 0.3205 | 1.0241 | 1.0120 |
226
+ | No log | 6.6038 | 350 | 1.0229 | 0.3185 | 1.0229 | 1.0114 |
227
+ | No log | 6.6415 | 352 | 1.0183 | 0.3090 | 1.0183 | 1.0091 |
228
+ | No log | 6.6792 | 354 | 1.0264 | 0.3086 | 1.0264 | 1.0131 |
229
+ | No log | 6.7170 | 356 | 1.0188 | 0.3086 | 1.0188 | 1.0094 |
230
+ | No log | 6.7547 | 358 | 1.0245 | 0.3668 | 1.0245 | 1.0122 |
231
+ | No log | 6.7925 | 360 | 0.9875 | 0.3733 | 0.9875 | 0.9938 |
232
+ | No log | 6.8302 | 362 | 0.9685 | 0.3134 | 0.9685 | 0.9841 |
233
+ | No log | 6.8679 | 364 | 0.9830 | 0.3541 | 0.9830 | 0.9915 |
234
+ | No log | 6.9057 | 366 | 0.9973 | 0.3427 | 0.9973 | 0.9986 |
235
+ | No log | 6.9434 | 368 | 0.9978 | 0.3541 | 0.9978 | 0.9989 |
236
+ | No log | 6.9811 | 370 | 1.0300 | 0.2988 | 1.0300 | 1.0149 |
237
+ | No log | 7.0189 | 372 | 1.0277 | 0.3427 | 1.0277 | 1.0137 |
238
+ | No log | 7.0566 | 374 | 1.0015 | 0.2991 | 1.0015 | 1.0007 |
239
+ | No log | 7.0943 | 376 | 0.9914 | 0.3256 | 0.9914 | 0.9957 |
240
+ | No log | 7.1321 | 378 | 1.0177 | 0.2777 | 1.0177 | 1.0088 |
241
+ | No log | 7.1698 | 380 | 1.1904 | 0.3291 | 1.1904 | 1.0911 |
242
+ | No log | 7.2075 | 382 | 1.2928 | 0.2921 | 1.2928 | 1.1370 |
243
+ | No log | 7.2453 | 384 | 1.1913 | 0.2227 | 1.1913 | 1.0915 |
244
+ | No log | 7.2830 | 386 | 1.0166 | 0.3450 | 1.0166 | 1.0083 |
245
+ | No log | 7.3208 | 388 | 1.0027 | 0.4087 | 1.0027 | 1.0014 |
246
+ | No log | 7.3585 | 390 | 1.0249 | 0.3486 | 1.0249 | 1.0124 |
247
+ | No log | 7.3962 | 392 | 1.1140 | 0.2744 | 1.1140 | 1.0555 |
248
+ | No log | 7.4340 | 394 | 1.1524 | 0.2627 | 1.1524 | 1.0735 |
249
+ | No log | 7.4717 | 396 | 1.0894 | 0.2637 | 1.0894 | 1.0437 |
250
+ | No log | 7.5094 | 398 | 1.0663 | 0.2402 | 1.0663 | 1.0326 |
251
+ | No log | 7.5472 | 400 | 1.0992 | 0.2358 | 1.0992 | 1.0484 |
252
+ | No log | 7.5849 | 402 | 1.1557 | 0.2348 | 1.1557 | 1.0750 |
253
+ | No log | 7.6226 | 404 | 1.1556 | 0.2634 | 1.1556 | 1.0750 |
254
+ | No log | 7.6604 | 406 | 1.1668 | 0.3037 | 1.1668 | 1.0802 |
255
+ | No log | 7.6981 | 408 | 1.1718 | 0.2689 | 1.1718 | 1.0825 |
256
+ | No log | 7.7358 | 410 | 1.1685 | 0.3457 | 1.1685 | 1.0810 |
257
+ | No log | 7.7736 | 412 | 1.1565 | 0.3590 | 1.1565 | 1.0754 |
258
+ | No log | 7.8113 | 414 | 1.1060 | 0.3590 | 1.1060 | 1.0516 |
259
+ | No log | 7.8491 | 416 | 1.1221 | 0.3034 | 1.1221 | 1.0593 |
260
+ | No log | 7.8868 | 418 | 1.2004 | 0.2920 | 1.2004 | 1.0956 |
261
+ | No log | 7.9245 | 420 | 1.1863 | 0.2920 | 1.1863 | 1.0892 |
262
+ | No log | 7.9623 | 422 | 1.0808 | 0.3701 | 1.0808 | 1.0396 |
263
+ | No log | 8.0 | 424 | 1.0884 | 0.3561 | 1.0884 | 1.0433 |
264
+ | No log | 8.0377 | 426 | 1.1438 | 0.3232 | 1.1438 | 1.0695 |
265
+ | No log | 8.0755 | 428 | 1.1267 | 0.3232 | 1.1267 | 1.0615 |
266
+ | No log | 8.1132 | 430 | 1.0901 | 0.3624 | 1.0901 | 1.0441 |
267
+ | No log | 8.1509 | 432 | 1.0497 | 0.3590 | 1.0497 | 1.0245 |
268
+ | No log | 8.1887 | 434 | 1.0602 | 0.3668 | 1.0602 | 1.0297 |
269
+ | No log | 8.2264 | 436 | 1.0706 | 0.3490 | 1.0706 | 1.0347 |
270
+ | No log | 8.2642 | 438 | 1.0485 | 0.3661 | 1.0485 | 1.0239 |
271
+ | No log | 8.3019 | 440 | 1.0544 | 0.4009 | 1.0544 | 1.0268 |
272
+ | No log | 8.3396 | 442 | 1.1004 | 0.4167 | 1.1004 | 1.0490 |
273
+ | No log | 8.3774 | 444 | 1.1089 | 0.4167 | 1.1089 | 1.0530 |
274
+ | No log | 8.4151 | 446 | 1.0508 | 0.3762 | 1.0508 | 1.0251 |
275
+ | No log | 8.4528 | 448 | 1.0663 | 0.2871 | 1.0663 | 1.0326 |
276
+ | No log | 8.4906 | 450 | 1.0878 | 0.2637 | 1.0878 | 1.0430 |
277
+ | No log | 8.5283 | 452 | 1.0893 | 0.2777 | 1.0893 | 1.0437 |
278
+ | No log | 8.5660 | 454 | 1.0479 | 0.3108 | 1.0479 | 1.0237 |
279
+ | No log | 8.6038 | 456 | 1.0249 | 0.3902 | 1.0249 | 1.0124 |
280
+ | No log | 8.6415 | 458 | 1.0286 | 0.3380 | 1.0286 | 1.0142 |
281
+ | No log | 8.6792 | 460 | 1.0213 | 0.4181 | 1.0213 | 1.0106 |
282
+ | No log | 8.7170 | 462 | 1.0346 | 0.3692 | 1.0346 | 1.0171 |
283
+ | No log | 8.7547 | 464 | 1.0369 | 0.3741 | 1.0369 | 1.0183 |
284
+ | No log | 8.7925 | 466 | 1.0093 | 0.3788 | 1.0093 | 1.0047 |
285
+ | No log | 8.8302 | 468 | 0.9998 | 0.3885 | 0.9998 | 0.9999 |
286
+ | No log | 8.8679 | 470 | 1.0152 | 0.3821 | 1.0152 | 1.0076 |
287
+ | No log | 8.9057 | 472 | 1.0357 | 0.3199 | 1.0357 | 1.0177 |
288
+ | No log | 8.9434 | 474 | 1.0301 | 0.3199 | 1.0301 | 1.0149 |
289
+ | No log | 8.9811 | 476 | 0.9834 | 0.3747 | 0.9834 | 0.9916 |
290
+ | No log | 9.0189 | 478 | 0.9829 | 0.3632 | 0.9829 | 0.9914 |
291
+ | No log | 9.0566 | 480 | 0.9952 | 0.4331 | 0.9952 | 0.9976 |
292
+ | No log | 9.0943 | 482 | 0.9825 | 0.4465 | 0.9825 | 0.9912 |
293
+ | No log | 9.1321 | 484 | 1.0184 | 0.4176 | 1.0184 | 1.0092 |
294
+ | No log | 9.1698 | 486 | 1.0563 | 0.3484 | 1.0563 | 1.0278 |
295
+ | No log | 9.2075 | 488 | 1.0048 | 0.4483 | 1.0048 | 1.0024 |
296
+ | No log | 9.2453 | 490 | 0.9880 | 0.4508 | 0.9880 | 0.9940 |
297
+ | No log | 9.2830 | 492 | 0.9812 | 0.4540 | 0.9812 | 0.9906 |
298
+ | No log | 9.3208 | 494 | 0.9888 | 0.4334 | 0.9888 | 0.9944 |
299
+ | No log | 9.3585 | 496 | 0.9833 | 0.3590 | 0.9833 | 0.9916 |
300
+ | No log | 9.3962 | 498 | 1.0081 | 0.4232 | 1.0081 | 1.0041 |
301
+ | 0.3296 | 9.4340 | 500 | 1.0716 | 0.3363 | 1.0716 | 1.0352 |
302
+ | 0.3296 | 9.4717 | 502 | 1.0694 | 0.3231 | 1.0694 | 1.0341 |
303
+ | 0.3296 | 9.5094 | 504 | 1.0200 | 0.3283 | 1.0200 | 1.0100 |
304
+ | 0.3296 | 9.5472 | 506 | 1.0123 | 0.2920 | 1.0123 | 1.0062 |
305
+ | 0.3296 | 9.5849 | 508 | 1.0211 | 0.3066 | 1.0211 | 1.0105 |
306
+ | 0.3296 | 9.6226 | 510 | 1.0252 | 0.3066 | 1.0252 | 1.0125 |
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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