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ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k6_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_k5_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_k5_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: 0.8708
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+ - Qwk: 0.4626
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+ - Mse: 0.8708
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+ - Rmse: 0.9332
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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 | 0.0714 | 2 | 4.5156 | -0.0191 | 4.5156 | 2.1250 |
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+ | No log | 0.1429 | 4 | 2.6697 | -0.0091 | 2.6697 | 1.6339 |
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+ | No log | 0.2143 | 6 | 1.6953 | 0.0504 | 1.6953 | 1.3020 |
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+ | No log | 0.2857 | 8 | 1.3409 | -0.0211 | 1.3409 | 1.1580 |
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+ | No log | 0.3571 | 10 | 1.1238 | 0.3119 | 1.1238 | 1.0601 |
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+ | No log | 0.4286 | 12 | 1.0593 | 0.3048 | 1.0593 | 1.0292 |
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+ | No log | 0.5 | 14 | 1.0554 | 0.2996 | 1.0554 | 1.0273 |
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+ | No log | 0.5714 | 16 | 1.0673 | 0.2579 | 1.0673 | 1.0331 |
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+ | No log | 0.6429 | 18 | 1.2209 | 0.1865 | 1.2209 | 1.1050 |
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+ | No log | 0.7143 | 20 | 1.3401 | 0.1165 | 1.3401 | 1.1576 |
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+ | No log | 0.7857 | 22 | 1.3984 | 0.0898 | 1.3984 | 1.1825 |
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+ | No log | 0.8571 | 24 | 1.2160 | 0.1679 | 1.2160 | 1.1027 |
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+ | No log | 0.9286 | 26 | 1.0332 | 0.2886 | 1.0332 | 1.0165 |
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+ | No log | 1.0 | 28 | 0.9840 | 0.3983 | 0.9840 | 0.9920 |
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+ | No log | 1.0714 | 30 | 1.0056 | 0.3418 | 1.0056 | 1.0028 |
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+ | No log | 1.1429 | 32 | 1.2389 | 0.2014 | 1.2389 | 1.1131 |
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+ | No log | 1.2143 | 34 | 1.3717 | 0.1404 | 1.3717 | 1.1712 |
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+ | No log | 1.2857 | 36 | 1.2111 | 0.2351 | 1.2111 | 1.1005 |
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+ | No log | 1.3571 | 38 | 0.9930 | 0.2935 | 0.9930 | 0.9965 |
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+ | No log | 1.4286 | 40 | 0.9551 | 0.3797 | 0.9551 | 0.9773 |
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+ | No log | 1.5 | 42 | 0.9581 | 0.3797 | 0.9581 | 0.9789 |
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+ | No log | 1.5714 | 44 | 1.0233 | 0.2935 | 1.0233 | 1.0116 |
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+ | No log | 1.6429 | 46 | 1.1048 | 0.2054 | 1.1048 | 1.0511 |
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+ | No log | 1.7143 | 48 | 1.2170 | 0.1772 | 1.2170 | 1.1032 |
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+ | No log | 1.7857 | 50 | 1.4694 | 0.1722 | 1.4694 | 1.2122 |
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+ | No log | 1.8571 | 52 | 1.4726 | 0.2077 | 1.4726 | 1.2135 |
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+ | No log | 1.9286 | 54 | 1.2659 | 0.1882 | 1.2659 | 1.1251 |
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+ | No log | 2.0 | 56 | 1.1198 | 0.1920 | 1.1198 | 1.0582 |
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+ | No log | 2.0714 | 58 | 0.9621 | 0.3737 | 0.9621 | 0.9808 |
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+ | No log | 2.1429 | 60 | 0.8930 | 0.4748 | 0.8930 | 0.9450 |
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+ | No log | 2.2143 | 62 | 0.8444 | 0.4995 | 0.8444 | 0.9189 |
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+ | No log | 2.2857 | 64 | 0.8916 | 0.4954 | 0.8916 | 0.9442 |
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+ | No log | 2.3571 | 66 | 0.8844 | 0.4241 | 0.8844 | 0.9404 |
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+ | No log | 2.4286 | 68 | 0.8259 | 0.4455 | 0.8259 | 0.9088 |
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+ | No log | 2.5 | 70 | 0.9448 | 0.4036 | 0.9448 | 0.9720 |
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+ | No log | 2.5714 | 72 | 1.2679 | 0.3585 | 1.2679 | 1.1260 |
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+ | No log | 2.6429 | 74 | 1.2972 | 0.3284 | 1.2972 | 1.1389 |
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+ | No log | 2.7143 | 76 | 1.1841 | 0.3870 | 1.1841 | 1.0882 |
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+ | No log | 2.7857 | 78 | 1.0465 | 0.4785 | 1.0465 | 1.0230 |
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+ | No log | 2.8571 | 80 | 0.9200 | 0.4507 | 0.9200 | 0.9592 |
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+ | No log | 2.9286 | 82 | 0.9236 | 0.4507 | 0.9236 | 0.9611 |
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+ | No log | 3.0 | 84 | 1.0350 | 0.4376 | 1.0350 | 1.0174 |
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+ | No log | 3.0714 | 86 | 1.3230 | 0.3541 | 1.3230 | 1.1502 |
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+ | No log | 3.1429 | 88 | 1.3689 | 0.3581 | 1.3689 | 1.1700 |
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+ | No log | 3.2143 | 90 | 1.0519 | 0.4492 | 1.0519 | 1.0256 |
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+ | No log | 3.2857 | 92 | 0.8882 | 0.5235 | 0.8882 | 0.9425 |
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+ | No log | 3.3571 | 94 | 0.8757 | 0.5056 | 0.8757 | 0.9358 |
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+ | No log | 3.4286 | 96 | 0.8601 | 0.5131 | 0.8601 | 0.9274 |
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+ | No log | 3.5 | 98 | 0.8447 | 0.5110 | 0.8447 | 0.9191 |
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+ | No log | 3.5714 | 100 | 0.8218 | 0.5953 | 0.8218 | 0.9065 |
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+ | No log | 3.6429 | 102 | 0.8324 | 0.6565 | 0.8324 | 0.9124 |
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+ | No log | 3.7143 | 104 | 0.9166 | 0.5358 | 0.9166 | 0.9574 |
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+ | No log | 3.7857 | 106 | 0.9614 | 0.5187 | 0.9614 | 0.9805 |
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+ | No log | 3.8571 | 108 | 0.9262 | 0.5144 | 0.9262 | 0.9624 |
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+ | No log | 3.9286 | 110 | 0.8408 | 0.5830 | 0.8408 | 0.9170 |
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+ | No log | 4.0 | 112 | 0.8330 | 0.5418 | 0.8330 | 0.9127 |
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+ | No log | 4.0714 | 114 | 0.8442 | 0.4853 | 0.8442 | 0.9188 |
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+ | No log | 4.1429 | 116 | 0.8326 | 0.5094 | 0.8326 | 0.9124 |
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+ | No log | 4.2143 | 118 | 0.8440 | 0.5883 | 0.8440 | 0.9187 |
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+ | No log | 4.2857 | 120 | 0.9002 | 0.5261 | 0.9002 | 0.9488 |
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+ | No log | 4.3571 | 122 | 1.0433 | 0.4383 | 1.0433 | 1.0214 |
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+ | No log | 4.4286 | 124 | 1.0032 | 0.4867 | 1.0032 | 1.0016 |
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+ | No log | 4.5 | 126 | 0.9181 | 0.4685 | 0.9181 | 0.9581 |
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+ | No log | 4.5714 | 128 | 0.9045 | 0.4739 | 0.9045 | 0.9511 |
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+ | No log | 4.6429 | 130 | 0.9394 | 0.3870 | 0.9394 | 0.9692 |
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+ | No log | 4.7143 | 132 | 0.9378 | 0.4620 | 0.9378 | 0.9684 |
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+ | No log | 4.7857 | 134 | 0.9229 | 0.4894 | 0.9229 | 0.9607 |
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+ | No log | 4.8571 | 136 | 0.9973 | 0.5287 | 0.9973 | 0.9987 |
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+ | No log | 4.9286 | 138 | 1.0756 | 0.4265 | 1.0756 | 1.0371 |
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+ | No log | 5.0 | 140 | 0.9385 | 0.5562 | 0.9385 | 0.9687 |
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+ | No log | 5.0714 | 142 | 0.9052 | 0.5148 | 0.9052 | 0.9514 |
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+ | No log | 5.1429 | 144 | 0.9356 | 0.4385 | 0.9356 | 0.9673 |
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+ | No log | 5.2143 | 146 | 1.0659 | 0.3554 | 1.0659 | 1.0324 |
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+ | No log | 5.2857 | 148 | 1.0856 | 0.3765 | 1.0856 | 1.0419 |
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+ | No log | 5.3571 | 150 | 1.0075 | 0.3516 | 1.0075 | 1.0037 |
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+ | No log | 5.4286 | 152 | 1.0570 | 0.3346 | 1.0570 | 1.0281 |
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+ | No log | 5.5 | 154 | 0.9421 | 0.4643 | 0.9421 | 0.9706 |
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+ | No log | 5.5714 | 156 | 0.9262 | 0.4388 | 0.9262 | 0.9624 |
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+ | No log | 5.6429 | 158 | 0.9461 | 0.3387 | 0.9461 | 0.9727 |
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+ | No log | 5.7143 | 160 | 0.9675 | 0.4181 | 0.9675 | 0.9836 |
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+ | No log | 5.7857 | 162 | 0.9712 | 0.4146 | 0.9712 | 0.9855 |
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+ | No log | 5.8571 | 164 | 0.9561 | 0.4022 | 0.9561 | 0.9778 |
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+ | No log | 5.9286 | 166 | 0.9285 | 0.4597 | 0.9285 | 0.9636 |
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+ | No log | 6.0 | 168 | 0.9358 | 0.3992 | 0.9358 | 0.9674 |
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+ | No log | 6.0714 | 170 | 0.9967 | 0.5018 | 0.9967 | 0.9983 |
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+ | No log | 6.1429 | 172 | 0.9576 | 0.4241 | 0.9576 | 0.9786 |
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+ | No log | 6.2143 | 174 | 0.9030 | 0.4929 | 0.9030 | 0.9503 |
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+ | No log | 6.2857 | 176 | 0.8622 | 0.5760 | 0.8622 | 0.9286 |
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+ | No log | 6.3571 | 178 | 0.8265 | 0.5760 | 0.8265 | 0.9091 |
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+ | No log | 6.4286 | 180 | 0.8164 | 0.6067 | 0.8164 | 0.9036 |
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+ | No log | 6.5 | 182 | 0.8968 | 0.5512 | 0.8968 | 0.9470 |
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+ | No log | 6.5714 | 184 | 1.0576 | 0.4760 | 1.0576 | 1.0284 |
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+ | No log | 6.6429 | 186 | 0.9880 | 0.5311 | 0.9880 | 0.9940 |
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+ | No log | 6.7143 | 188 | 0.8655 | 0.5367 | 0.8655 | 0.9303 |
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+ | No log | 6.7857 | 190 | 0.9594 | 0.4167 | 0.9594 | 0.9795 |
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+ | No log | 6.8571 | 192 | 1.0677 | 0.4137 | 1.0677 | 1.0333 |
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+ | No log | 6.9286 | 194 | 1.0472 | 0.4557 | 1.0472 | 1.0233 |
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+ | No log | 7.0 | 196 | 0.9614 | 0.3897 | 0.9614 | 0.9805 |
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+ | No log | 7.0714 | 198 | 0.9704 | 0.4106 | 0.9704 | 0.9851 |
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+ | No log | 7.1429 | 200 | 0.9947 | 0.4524 | 0.9947 | 0.9973 |
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+ | No log | 7.2143 | 202 | 0.9127 | 0.4469 | 0.9127 | 0.9554 |
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+ | No log | 7.2857 | 204 | 0.8566 | 0.4411 | 0.8566 | 0.9255 |
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+ | No log | 7.3571 | 206 | 0.9034 | 0.4196 | 0.9034 | 0.9505 |
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+ | No log | 7.4286 | 208 | 0.9460 | 0.3649 | 0.9460 | 0.9726 |
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+ | No log | 7.5 | 210 | 0.9825 | 0.3649 | 0.9825 | 0.9912 |
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+ | No log | 7.5714 | 212 | 0.9938 | 0.3352 | 0.9938 | 0.9969 |
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+ | No log | 7.6429 | 214 | 0.9952 | 0.4273 | 0.9952 | 0.9976 |
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+ | No log | 7.7143 | 216 | 1.0280 | 0.3742 | 1.0280 | 1.0139 |
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+ | No log | 7.7857 | 218 | 1.0162 | 0.4113 | 1.0162 | 1.0081 |
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+ | No log | 7.8571 | 220 | 0.9990 | 0.3690 | 0.9990 | 0.9995 |
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+ | No log | 7.9286 | 222 | 1.0181 | 0.4017 | 1.0181 | 1.0090 |
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+ | No log | 8.0 | 224 | 0.9782 | 0.4405 | 0.9782 | 0.9891 |
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+ | No log | 8.0714 | 226 | 0.9169 | 0.5094 | 0.9169 | 0.9575 |
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+ | No log | 8.1429 | 228 | 0.9003 | 0.5272 | 0.9003 | 0.9488 |
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+ | No log | 8.2143 | 230 | 0.9079 | 0.4996 | 0.9079 | 0.9529 |
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+ | No log | 8.2857 | 232 | 0.9596 | 0.3888 | 0.9596 | 0.9796 |
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+ | No log | 8.3571 | 234 | 1.0101 | 0.4567 | 1.0101 | 1.0050 |
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+ | No log | 8.4286 | 236 | 0.9732 | 0.4057 | 0.9732 | 0.9865 |
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+ | No log | 8.5 | 238 | 0.9105 | 0.4668 | 0.9105 | 0.9542 |
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+ | No log | 8.5714 | 240 | 0.8634 | 0.4677 | 0.8634 | 0.9292 |
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+ | No log | 8.6429 | 242 | 0.8638 | 0.4819 | 0.8638 | 0.9294 |
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+ | No log | 8.7143 | 244 | 0.8636 | 0.4948 | 0.8636 | 0.9293 |
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+ | No log | 8.7857 | 246 | 0.8348 | 0.4633 | 0.8348 | 0.9137 |
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+ | No log | 8.8571 | 248 | 0.8438 | 0.5205 | 0.8438 | 0.9186 |
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+ | No log | 8.9286 | 250 | 0.8722 | 0.5272 | 0.8722 | 0.9339 |
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+ | No log | 9.0 | 252 | 0.9184 | 0.4286 | 0.9184 | 0.9583 |
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+ | No log | 9.0714 | 254 | 0.9316 | 0.4020 | 0.9316 | 0.9652 |
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+ | No log | 9.1429 | 256 | 0.9202 | 0.4493 | 0.9202 | 0.9593 |
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+ | No log | 9.2143 | 258 | 0.8872 | 0.5051 | 0.8872 | 0.9419 |
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+ | No log | 9.2857 | 260 | 0.8621 | 0.4685 | 0.8621 | 0.9285 |
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+ | No log | 9.3571 | 262 | 0.8877 | 0.4476 | 0.8877 | 0.9422 |
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+ | No log | 9.4286 | 264 | 1.0071 | 0.5124 | 1.0071 | 1.0035 |
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+ | No log | 9.5 | 266 | 1.0683 | 0.4883 | 1.0683 | 1.0336 |
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+ | No log | 9.5714 | 268 | 0.9961 | 0.5287 | 0.9961 | 0.9981 |
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+ | No log | 9.6429 | 270 | 0.9080 | 0.4585 | 0.9080 | 0.9529 |
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+ | No log | 9.7143 | 272 | 0.9200 | 0.3864 | 0.9200 | 0.9592 |
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+ | No log | 9.7857 | 274 | 0.9778 | 0.3733 | 0.9778 | 0.9888 |
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+ | No log | 9.8571 | 276 | 1.0496 | 0.4196 | 1.0496 | 1.0245 |
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+ | No log | 9.9286 | 278 | 1.1245 | 0.3238 | 1.1245 | 1.0604 |
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+ | No log | 10.0 | 280 | 1.0863 | 0.3368 | 1.0863 | 1.0423 |
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+ | No log | 10.0714 | 282 | 1.0164 | 0.4435 | 1.0164 | 1.0082 |
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+ | No log | 10.1429 | 284 | 1.0010 | 0.4565 | 1.0010 | 1.0005 |
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+ | No log | 10.2143 | 286 | 0.9669 | 0.4774 | 0.9669 | 0.9833 |
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+ | No log | 10.2857 | 288 | 0.9371 | 0.4828 | 0.9371 | 0.9680 |
196
+ | No log | 10.3571 | 290 | 0.9832 | 0.4160 | 0.9832 | 0.9916 |
197
+ | No log | 10.4286 | 292 | 1.0704 | 0.3956 | 1.0704 | 1.0346 |
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+ | No log | 10.5 | 294 | 1.1122 | 0.3260 | 1.1122 | 1.0546 |
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+ | No log | 10.5714 | 296 | 1.1108 | 0.3260 | 1.1108 | 1.0540 |
200
+ | No log | 10.6429 | 298 | 1.0174 | 0.3842 | 1.0174 | 1.0086 |
201
+ | No log | 10.7143 | 300 | 0.9816 | 0.4160 | 0.9816 | 0.9907 |
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+ | No log | 10.7857 | 302 | 1.0014 | 0.4210 | 1.0014 | 1.0007 |
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+ | No log | 10.8571 | 304 | 1.0577 | 0.4141 | 1.0577 | 1.0284 |
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+ | No log | 10.9286 | 306 | 1.0267 | 0.4010 | 1.0267 | 1.0133 |
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+ | No log | 11.0 | 308 | 1.0274 | 0.4426 | 1.0274 | 1.0136 |
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+ | No log | 11.0714 | 310 | 1.0357 | 0.4389 | 1.0357 | 1.0177 |
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+ | No log | 11.1429 | 312 | 1.0146 | 0.4393 | 1.0146 | 1.0073 |
208
+ | No log | 11.2143 | 314 | 0.9725 | 0.4906 | 0.9725 | 0.9861 |
209
+ | No log | 11.2857 | 316 | 0.9288 | 0.5265 | 0.9288 | 0.9637 |
210
+ | No log | 11.3571 | 318 | 0.9463 | 0.4762 | 0.9463 | 0.9728 |
211
+ | No log | 11.4286 | 320 | 1.0114 | 0.4784 | 1.0114 | 1.0057 |
212
+ | No log | 11.5 | 322 | 0.9574 | 0.4922 | 0.9574 | 0.9785 |
213
+ | No log | 11.5714 | 324 | 0.8953 | 0.5261 | 0.8953 | 0.9462 |
214
+ | No log | 11.6429 | 326 | 0.8486 | 0.5750 | 0.8486 | 0.9212 |
215
+ | No log | 11.7143 | 328 | 0.8345 | 0.5750 | 0.8345 | 0.9135 |
216
+ | No log | 11.7857 | 330 | 0.8465 | 0.5416 | 0.8465 | 0.9201 |
217
+ | No log | 11.8571 | 332 | 0.8628 | 0.5251 | 0.8628 | 0.9289 |
218
+ | No log | 11.9286 | 334 | 0.9242 | 0.5307 | 0.9242 | 0.9614 |
219
+ | No log | 12.0 | 336 | 0.9430 | 0.5109 | 0.9430 | 0.9711 |
220
+ | No log | 12.0714 | 338 | 0.9071 | 0.4871 | 0.9071 | 0.9524 |
221
+ | No log | 12.1429 | 340 | 0.8666 | 0.5021 | 0.8666 | 0.9309 |
222
+ | No log | 12.2143 | 342 | 0.8376 | 0.5098 | 0.8376 | 0.9152 |
223
+ | No log | 12.2857 | 344 | 0.8274 | 0.5487 | 0.8274 | 0.9096 |
224
+ | No log | 12.3571 | 346 | 0.8324 | 0.5214 | 0.8324 | 0.9123 |
225
+ | No log | 12.4286 | 348 | 0.8751 | 0.5524 | 0.8751 | 0.9354 |
226
+ | No log | 12.5 | 350 | 0.9287 | 0.4636 | 0.9287 | 0.9637 |
227
+ | No log | 12.5714 | 352 | 0.9264 | 0.4677 | 0.9264 | 0.9625 |
228
+ | No log | 12.6429 | 354 | 0.9223 | 0.4800 | 0.9223 | 0.9604 |
229
+ | No log | 12.7143 | 356 | 0.9734 | 0.4299 | 0.9734 | 0.9866 |
230
+ | No log | 12.7857 | 358 | 1.0049 | 0.4425 | 1.0049 | 1.0024 |
231
+ | No log | 12.8571 | 360 | 1.0208 | 0.3834 | 1.0208 | 1.0104 |
232
+ | No log | 12.9286 | 362 | 1.0182 | 0.4340 | 1.0182 | 1.0090 |
233
+ | No log | 13.0 | 364 | 1.1036 | 0.4116 | 1.1036 | 1.0505 |
234
+ | No log | 13.0714 | 366 | 1.1727 | 0.3934 | 1.1727 | 1.0829 |
235
+ | No log | 13.1429 | 368 | 1.1388 | 0.3741 | 1.1388 | 1.0672 |
236
+ | No log | 13.2143 | 370 | 1.0630 | 0.4272 | 1.0630 | 1.0310 |
237
+ | No log | 13.2857 | 372 | 1.0340 | 0.3930 | 1.0340 | 1.0168 |
238
+ | No log | 13.3571 | 374 | 1.0110 | 0.4415 | 1.0110 | 1.0055 |
239
+ | No log | 13.4286 | 376 | 0.9883 | 0.4349 | 0.9883 | 0.9942 |
240
+ | No log | 13.5 | 378 | 0.9868 | 0.4449 | 0.9868 | 0.9934 |
241
+ | No log | 13.5714 | 380 | 0.9848 | 0.4238 | 0.9848 | 0.9924 |
242
+ | No log | 13.6429 | 382 | 0.9811 | 0.4694 | 0.9811 | 0.9905 |
243
+ | No log | 13.7143 | 384 | 0.9568 | 0.4272 | 0.9568 | 0.9782 |
244
+ | No log | 13.7857 | 386 | 0.9328 | 0.4469 | 0.9328 | 0.9658 |
245
+ | No log | 13.8571 | 388 | 0.9213 | 0.3881 | 0.9213 | 0.9598 |
246
+ | No log | 13.9286 | 390 | 0.9162 | 0.4211 | 0.9162 | 0.9572 |
247
+ | No log | 14.0 | 392 | 0.9280 | 0.4246 | 0.9280 | 0.9633 |
248
+ | No log | 14.0714 | 394 | 0.9207 | 0.4084 | 0.9207 | 0.9596 |
249
+ | No log | 14.1429 | 396 | 0.8984 | 0.4014 | 0.8984 | 0.9478 |
250
+ | No log | 14.2143 | 398 | 0.8997 | 0.5011 | 0.8997 | 0.9485 |
251
+ | No log | 14.2857 | 400 | 0.9123 | 0.4884 | 0.9123 | 0.9552 |
252
+ | No log | 14.3571 | 402 | 0.9207 | 0.4884 | 0.9207 | 0.9596 |
253
+ | No log | 14.4286 | 404 | 0.9327 | 0.5011 | 0.9327 | 0.9658 |
254
+ | No log | 14.5 | 406 | 0.9539 | 0.4801 | 0.9539 | 0.9767 |
255
+ | No log | 14.5714 | 408 | 0.9558 | 0.4801 | 0.9558 | 0.9777 |
256
+ | No log | 14.6429 | 410 | 0.9604 | 0.5011 | 0.9604 | 0.9800 |
257
+ | No log | 14.7143 | 412 | 0.9585 | 0.4822 | 0.9585 | 0.9790 |
258
+ | No log | 14.7857 | 414 | 0.9688 | 0.4561 | 0.9688 | 0.9843 |
259
+ | No log | 14.8571 | 416 | 1.0284 | 0.3917 | 1.0284 | 1.0141 |
260
+ | No log | 14.9286 | 418 | 1.0586 | 0.3917 | 1.0586 | 1.0289 |
261
+ | No log | 15.0 | 420 | 1.0178 | 0.3917 | 1.0178 | 1.0089 |
262
+ | No log | 15.0714 | 422 | 0.9599 | 0.4241 | 0.9599 | 0.9798 |
263
+ | No log | 15.1429 | 424 | 0.9287 | 0.5275 | 0.9287 | 0.9637 |
264
+ | No log | 15.2143 | 426 | 0.9807 | 0.5394 | 0.9807 | 0.9903 |
265
+ | No log | 15.2857 | 428 | 0.9909 | 0.5273 | 0.9909 | 0.9954 |
266
+ | No log | 15.3571 | 430 | 0.9084 | 0.5624 | 0.9084 | 0.9531 |
267
+ | No log | 15.4286 | 432 | 0.8419 | 0.5621 | 0.8419 | 0.9176 |
268
+ | No log | 15.5 | 434 | 0.8502 | 0.4965 | 0.8502 | 0.9220 |
269
+ | No log | 15.5714 | 436 | 0.9099 | 0.4221 | 0.9099 | 0.9539 |
270
+ | No log | 15.6429 | 438 | 0.9172 | 0.4241 | 0.9172 | 0.9577 |
271
+ | No log | 15.7143 | 440 | 0.8913 | 0.4499 | 0.8913 | 0.9441 |
272
+ | No log | 15.7857 | 442 | 0.8848 | 0.5119 | 0.8848 | 0.9406 |
273
+ | No log | 15.8571 | 444 | 0.8915 | 0.5159 | 0.8915 | 0.9442 |
274
+ | No log | 15.9286 | 446 | 0.9003 | 0.5148 | 0.9003 | 0.9488 |
275
+ | No log | 16.0 | 448 | 0.8854 | 0.5275 | 0.8854 | 0.9410 |
276
+ | No log | 16.0714 | 450 | 0.8654 | 0.5322 | 0.8654 | 0.9303 |
277
+ | No log | 16.1429 | 452 | 0.8620 | 0.4949 | 0.8620 | 0.9285 |
278
+ | No log | 16.2143 | 454 | 0.8697 | 0.5040 | 0.8697 | 0.9326 |
279
+ | No log | 16.2857 | 456 | 0.8924 | 0.4822 | 0.8924 | 0.9447 |
280
+ | No log | 16.3571 | 458 | 0.9167 | 0.4514 | 0.9167 | 0.9574 |
281
+ | No log | 16.4286 | 460 | 0.9272 | 0.4671 | 0.9272 | 0.9629 |
282
+ | No log | 16.5 | 462 | 0.9370 | 0.5059 | 0.9370 | 0.9680 |
283
+ | No log | 16.5714 | 464 | 0.9481 | 0.4381 | 0.9481 | 0.9737 |
284
+ | No log | 16.6429 | 466 | 0.9762 | 0.4211 | 0.9762 | 0.9880 |
285
+ | No log | 16.7143 | 468 | 0.9633 | 0.4616 | 0.9633 | 0.9815 |
286
+ | No log | 16.7857 | 470 | 0.9340 | 0.4739 | 0.9340 | 0.9664 |
287
+ | No log | 16.8571 | 472 | 0.9380 | 0.5131 | 0.9380 | 0.9685 |
288
+ | No log | 16.9286 | 474 | 0.9591 | 0.4764 | 0.9591 | 0.9794 |
289
+ | No log | 17.0 | 476 | 0.9282 | 0.5119 | 0.9282 | 0.9634 |
290
+ | No log | 17.0714 | 478 | 0.9143 | 0.5131 | 0.9143 | 0.9562 |
291
+ | No log | 17.1429 | 480 | 0.9142 | 0.5374 | 0.9142 | 0.9561 |
292
+ | No log | 17.2143 | 482 | 0.9082 | 0.4514 | 0.9082 | 0.9530 |
293
+ | No log | 17.2857 | 484 | 0.9229 | 0.3697 | 0.9229 | 0.9607 |
294
+ | No log | 17.3571 | 486 | 0.9493 | 0.3993 | 0.9493 | 0.9743 |
295
+ | No log | 17.4286 | 488 | 0.9539 | 0.4120 | 0.9539 | 0.9767 |
296
+ | No log | 17.5 | 490 | 0.9532 | 0.4123 | 0.9532 | 0.9763 |
297
+ | No log | 17.5714 | 492 | 0.9231 | 0.4323 | 0.9231 | 0.9608 |
298
+ | No log | 17.6429 | 494 | 0.9066 | 0.4479 | 0.9066 | 0.9522 |
299
+ | No log | 17.7143 | 496 | 0.8927 | 0.4626 | 0.8927 | 0.9449 |
300
+ | No log | 17.7857 | 498 | 0.8894 | 0.5713 | 0.8894 | 0.9431 |
301
+ | 0.3315 | 17.8571 | 500 | 0.8840 | 0.5322 | 0.8840 | 0.9402 |
302
+ | 0.3315 | 17.9286 | 502 | 0.8926 | 0.4524 | 0.8926 | 0.9448 |
303
+ | 0.3315 | 18.0 | 504 | 0.9356 | 0.4677 | 0.9356 | 0.9673 |
304
+ | 0.3315 | 18.0714 | 506 | 0.9439 | 0.4792 | 0.9439 | 0.9716 |
305
+ | 0.3315 | 18.1429 | 508 | 0.9104 | 0.4655 | 0.9104 | 0.9542 |
306
+ | 0.3315 | 18.2143 | 510 | 0.8708 | 0.4626 | 0.8708 | 0.9332 |
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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