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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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task3_organization
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task3_organization
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8346
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+ - Qwk: 0.1047
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+ - Mse: 0.8346
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+ - Rmse: 0.9135
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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 | 0.0227 | 2 | 3.5405 | -0.0154 | 3.5405 | 1.8816 |
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+ | No log | 0.0455 | 4 | 2.0321 | -0.0284 | 2.0321 | 1.4255 |
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+ | No log | 0.0682 | 6 | 0.9992 | -0.0695 | 0.9992 | 0.9996 |
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+ | No log | 0.0909 | 8 | 1.2121 | -0.0149 | 1.2121 | 1.1010 |
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+ | No log | 0.1136 | 10 | 0.7817 | 0.0670 | 0.7817 | 0.8842 |
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+ | No log | 0.1364 | 12 | 0.6893 | 0.0 | 0.6893 | 0.8302 |
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+ | No log | 0.1591 | 14 | 0.7224 | 0.0 | 0.7224 | 0.8500 |
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+ | No log | 0.1818 | 16 | 0.6951 | 0.0 | 0.6951 | 0.8337 |
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+ | No log | 0.2045 | 18 | 0.7325 | 0.0460 | 0.7325 | 0.8558 |
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+ | No log | 0.2273 | 20 | 1.1123 | -0.0457 | 1.1123 | 1.0547 |
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+ | No log | 0.25 | 22 | 1.6146 | -0.0041 | 1.6146 | 1.2707 |
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+ | No log | 0.2727 | 24 | 1.3684 | 0.0247 | 1.3684 | 1.1698 |
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+ | No log | 0.2955 | 26 | 1.0104 | 0.0810 | 1.0104 | 1.0052 |
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+ | No log | 0.3182 | 28 | 0.9554 | 0.0618 | 0.9554 | 0.9775 |
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+ | No log | 0.3409 | 30 | 0.8899 | 0.1106 | 0.8899 | 0.9434 |
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+ | No log | 0.3636 | 32 | 1.0248 | 0.0152 | 1.0248 | 1.0123 |
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+ | No log | 0.3864 | 34 | 0.7685 | -0.0287 | 0.7685 | 0.8766 |
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+ | No log | 0.4091 | 36 | 0.7157 | 0.0555 | 0.7157 | 0.8460 |
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+ | No log | 0.4318 | 38 | 0.7842 | 0.0909 | 0.7842 | 0.8856 |
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+ | No log | 0.4545 | 40 | 1.0608 | -0.0097 | 1.0608 | 1.0300 |
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+ | No log | 0.4773 | 42 | 1.3557 | 0.0923 | 1.3557 | 1.1643 |
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+ | No log | 0.5 | 44 | 1.0553 | -0.0049 | 1.0553 | 1.0273 |
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+ | No log | 0.5227 | 46 | 0.8956 | 0.0968 | 0.8956 | 0.9464 |
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+ | No log | 0.5455 | 48 | 0.8763 | -0.0306 | 0.8763 | 0.9361 |
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+ | No log | 0.5682 | 50 | 0.8479 | 0.0406 | 0.8479 | 0.9208 |
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+ | No log | 0.5909 | 52 | 0.7391 | 0.0983 | 0.7391 | 0.8597 |
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+ | No log | 0.6136 | 54 | 0.7923 | 0.0826 | 0.7923 | 0.8901 |
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+ | No log | 0.6364 | 56 | 0.8284 | 0.0711 | 0.8284 | 0.9102 |
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+ | No log | 0.6591 | 58 | 0.7134 | 0.1787 | 0.7134 | 0.8446 |
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+ | No log | 0.6818 | 60 | 0.7541 | 0.1996 | 0.7541 | 0.8684 |
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+ | No log | 0.7045 | 62 | 0.7895 | 0.1996 | 0.7895 | 0.8886 |
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+ | No log | 0.7273 | 64 | 1.0386 | 0.0482 | 1.0386 | 1.0191 |
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+ | No log | 0.75 | 66 | 1.3014 | 0.1003 | 1.3014 | 1.1408 |
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+ | No log | 0.7727 | 68 | 1.2419 | 0.0620 | 1.2419 | 1.1144 |
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+ | No log | 0.7955 | 70 | 0.9896 | 0.1876 | 0.9896 | 0.9948 |
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+ | No log | 0.8182 | 72 | 0.9115 | 0.1213 | 0.9115 | 0.9547 |
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+ | No log | 0.8409 | 74 | 0.8706 | 0.1228 | 0.8706 | 0.9331 |
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+ | No log | 0.8636 | 76 | 0.8838 | 0.2099 | 0.8838 | 0.9401 |
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+ | No log | 0.8864 | 78 | 1.1724 | 0.0342 | 1.1724 | 1.0828 |
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+ | No log | 0.9091 | 80 | 1.0761 | -0.0492 | 1.0761 | 1.0373 |
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+ | No log | 0.9318 | 82 | 0.9022 | 0.1198 | 0.9022 | 0.9498 |
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+ | No log | 0.9545 | 84 | 1.1635 | 0.1476 | 1.1635 | 1.0787 |
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+ | No log | 0.9773 | 86 | 1.1765 | 0.1521 | 1.1765 | 1.0846 |
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+ | No log | 1.0 | 88 | 1.1246 | 0.1370 | 1.1246 | 1.0605 |
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+ | No log | 1.0227 | 90 | 1.6583 | 0.1147 | 1.6583 | 1.2877 |
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+ | No log | 1.0455 | 92 | 1.7024 | 0.0899 | 1.7024 | 1.3048 |
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+ | No log | 1.0682 | 94 | 1.1680 | 0.0634 | 1.1680 | 1.0807 |
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+ | No log | 1.0909 | 96 | 0.9114 | 0.1161 | 0.9114 | 0.9547 |
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+ | No log | 1.1136 | 98 | 0.9780 | 0.1565 | 0.9780 | 0.9890 |
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+ | No log | 1.1364 | 100 | 0.8596 | 0.1234 | 0.8596 | 0.9271 |
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+ | No log | 1.1591 | 102 | 0.8383 | 0.1185 | 0.8383 | 0.9156 |
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+ | No log | 1.1818 | 104 | 0.9207 | 0.0180 | 0.9207 | 0.9595 |
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+ | No log | 1.2045 | 106 | 0.8820 | 0.1459 | 0.8820 | 0.9392 |
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+ | No log | 1.2273 | 108 | 0.9047 | 0.1156 | 0.9047 | 0.9511 |
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+ | No log | 1.25 | 110 | 1.0296 | 0.1265 | 1.0296 | 1.0147 |
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+ | No log | 1.2727 | 112 | 0.9989 | 0.1492 | 0.9989 | 0.9994 |
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+ | No log | 1.2955 | 114 | 0.9203 | 0.1737 | 0.9203 | 0.9593 |
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+ | No log | 1.3182 | 116 | 0.9991 | 0.0639 | 0.9991 | 0.9995 |
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+ | No log | 1.3409 | 118 | 0.9828 | 0.0623 | 0.9828 | 0.9913 |
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+ | No log | 1.3636 | 120 | 0.8389 | 0.1489 | 0.8389 | 0.9159 |
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+ | No log | 1.3864 | 122 | 0.8805 | 0.1609 | 0.8805 | 0.9383 |
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+ | No log | 1.4091 | 124 | 0.9043 | 0.1292 | 0.9043 | 0.9510 |
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+ | No log | 1.4318 | 126 | 0.9019 | 0.0544 | 0.9019 | 0.9497 |
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+ | No log | 1.4545 | 128 | 1.0776 | 0.0138 | 1.0776 | 1.0381 |
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+ | No log | 1.4773 | 130 | 1.0420 | 0.0186 | 1.0420 | 1.0208 |
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+ | No log | 1.5 | 132 | 0.9250 | 0.1871 | 0.9250 | 0.9618 |
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+ | No log | 1.5227 | 134 | 0.9686 | 0.1228 | 0.9686 | 0.9842 |
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+ | No log | 1.5455 | 136 | 0.9037 | 0.1483 | 0.9037 | 0.9506 |
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+ | No log | 1.5682 | 138 | 0.8449 | 0.0586 | 0.8449 | 0.9192 |
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+ | No log | 1.5909 | 140 | 0.8458 | 0.0679 | 0.8458 | 0.9197 |
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+ | No log | 1.6136 | 142 | 0.8437 | 0.0733 | 0.8437 | 0.9185 |
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+ | No log | 1.6364 | 144 | 0.9194 | 0.1001 | 0.9194 | 0.9589 |
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+ | No log | 1.6591 | 146 | 0.8814 | 0.1782 | 0.8814 | 0.9388 |
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+ | No log | 1.6818 | 148 | 1.0224 | 0.0852 | 1.0224 | 1.0111 |
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+ | No log | 1.7045 | 150 | 1.0330 | 0.0820 | 1.0330 | 1.0164 |
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+ | No log | 1.7273 | 152 | 0.8168 | 0.0574 | 0.8168 | 0.9038 |
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+ | No log | 1.75 | 154 | 0.8025 | 0.1425 | 0.8025 | 0.8958 |
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+ | No log | 1.7727 | 156 | 0.7735 | 0.0983 | 0.7735 | 0.8795 |
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+ | No log | 1.7955 | 158 | 0.8558 | 0.0837 | 0.8558 | 0.9251 |
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+ | No log | 1.8182 | 160 | 0.9492 | 0.0627 | 0.9492 | 0.9742 |
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+ | No log | 1.8409 | 162 | 1.0437 | 0.0147 | 1.0437 | 1.0216 |
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+ | No log | 1.8636 | 164 | 0.9836 | 0.0951 | 0.9836 | 0.9917 |
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+ | No log | 1.8864 | 166 | 0.9049 | 0.0933 | 0.9049 | 0.9512 |
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+ | No log | 1.9091 | 168 | 0.9060 | 0.1638 | 0.9060 | 0.9518 |
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+ | No log | 1.9318 | 170 | 0.8612 | 0.1011 | 0.8612 | 0.9280 |
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+ | No log | 1.9545 | 172 | 0.8276 | 0.1310 | 0.8276 | 0.9097 |
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+ | No log | 1.9773 | 174 | 0.7855 | -0.0054 | 0.7855 | 0.8863 |
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+ | No log | 2.0 | 176 | 0.8069 | 0.0159 | 0.8069 | 0.8983 |
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+ | No log | 2.0227 | 178 | 0.8329 | 0.1342 | 0.8329 | 0.9126 |
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+ | No log | 2.0455 | 180 | 0.9311 | 0.0684 | 0.9311 | 0.9649 |
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+ | No log | 2.0682 | 182 | 0.9121 | 0.1235 | 0.9121 | 0.9550 |
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+ | No log | 2.0909 | 184 | 0.8974 | 0.1212 | 0.8974 | 0.9473 |
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+ | No log | 2.1136 | 186 | 1.0484 | 0.1184 | 1.0484 | 1.0239 |
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+ | No log | 2.1364 | 188 | 0.9813 | 0.0847 | 0.9813 | 0.9906 |
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+ | No log | 2.1591 | 190 | 0.9805 | 0.0639 | 0.9805 | 0.9902 |
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+ | No log | 2.1818 | 192 | 0.9852 | -0.0151 | 0.9852 | 0.9926 |
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+ | No log | 2.2045 | 194 | 0.9417 | 0.0207 | 0.9417 | 0.9704 |
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+ | No log | 2.2273 | 196 | 0.7449 | 0.0723 | 0.7449 | 0.8631 |
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+ | No log | 2.25 | 198 | 0.7393 | 0.0056 | 0.7393 | 0.8598 |
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+ | No log | 2.2727 | 200 | 0.8057 | 0.0664 | 0.8057 | 0.8976 |
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+ | No log | 2.2955 | 202 | 0.7999 | 0.0341 | 0.7999 | 0.8944 |
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+ | No log | 2.3182 | 204 | 1.0013 | 0.0692 | 1.0013 | 1.0006 |
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+ | No log | 2.3409 | 206 | 1.1822 | 0.0098 | 1.1822 | 1.0873 |
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+ | No log | 2.3636 | 208 | 0.9796 | 0.0419 | 0.9796 | 0.9898 |
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+ | No log | 2.3864 | 210 | 0.9257 | 0.0271 | 0.9257 | 0.9621 |
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+ | No log | 2.4091 | 212 | 0.9084 | 0.0734 | 0.9084 | 0.9531 |
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+ | No log | 2.4318 | 214 | 0.7702 | 0.0481 | 0.7702 | 0.8776 |
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+ | No log | 2.4545 | 216 | 0.7886 | 0.1691 | 0.7886 | 0.8880 |
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+ | No log | 2.4773 | 218 | 0.8244 | 0.1495 | 0.8244 | 0.9079 |
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+ | No log | 2.5 | 220 | 0.8391 | 0.1187 | 0.8391 | 0.9160 |
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+ | No log | 2.5227 | 222 | 0.8305 | 0.1187 | 0.8305 | 0.9113 |
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+ | No log | 2.5455 | 224 | 0.8595 | 0.1393 | 0.8595 | 0.9271 |
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+ | No log | 2.5682 | 226 | 0.9872 | 0.0257 | 0.9872 | 0.9936 |
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+ | No log | 2.5909 | 228 | 0.9472 | 0.0781 | 0.9472 | 0.9732 |
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+ | No log | 2.6136 | 230 | 0.9323 | 0.0563 | 0.9323 | 0.9656 |
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+ | No log | 2.6364 | 232 | 0.9779 | 0.0900 | 0.9779 | 0.9889 |
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+ | No log | 2.6591 | 234 | 1.1405 | 0.0448 | 1.1405 | 1.0679 |
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+ | No log | 2.6818 | 236 | 1.0040 | 0.0415 | 1.0040 | 1.0020 |
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+ | No log | 2.7045 | 238 | 0.8464 | -0.0230 | 0.8464 | 0.9200 |
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+ | No log | 2.7273 | 240 | 1.0032 | 0.0147 | 1.0032 | 1.0016 |
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+ | No log | 2.75 | 242 | 0.9513 | 0.0881 | 0.9513 | 0.9754 |
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+ | No log | 2.7727 | 244 | 0.8273 | 0.0875 | 0.8273 | 0.9095 |
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+ | No log | 2.7955 | 246 | 0.8786 | 0.1277 | 0.8786 | 0.9374 |
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+ | No log | 2.8182 | 248 | 0.8450 | 0.1923 | 0.8450 | 0.9192 |
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+ | No log | 2.8409 | 250 | 0.9120 | 0.0805 | 0.9120 | 0.9550 |
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+ | No log | 2.8636 | 252 | 0.8857 | 0.1633 | 0.8857 | 0.9411 |
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+ | No log | 2.8864 | 254 | 0.8068 | 0.1529 | 0.8068 | 0.8982 |
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+ | No log | 2.9091 | 256 | 0.8238 | 0.1352 | 0.8238 | 0.9076 |
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+ | No log | 2.9318 | 258 | 0.8306 | 0.1770 | 0.8306 | 0.9114 |
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+ | No log | 2.9545 | 260 | 0.8601 | 0.1144 | 0.8601 | 0.9274 |
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+ | No log | 2.9773 | 262 | 0.9133 | 0.1522 | 0.9133 | 0.9556 |
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+ | No log | 3.0 | 264 | 0.8087 | 0.1440 | 0.8087 | 0.8993 |
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+ | No log | 3.0227 | 266 | 0.7684 | 0.0428 | 0.7684 | 0.8766 |
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+ | No log | 3.0455 | 268 | 0.8338 | 0.1686 | 0.8338 | 0.9131 |
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+ | No log | 3.0682 | 270 | 0.7937 | 0.1315 | 0.7937 | 0.8909 |
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+ | No log | 3.0909 | 272 | 0.7628 | 0.1691 | 0.7628 | 0.8734 |
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+ | No log | 3.1136 | 274 | 0.8494 | 0.1395 | 0.8494 | 0.9216 |
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+ | No log | 3.1364 | 276 | 0.9000 | 0.1065 | 0.9000 | 0.9487 |
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+ | No log | 3.1591 | 278 | 0.8100 | 0.1691 | 0.8100 | 0.9000 |
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+ | No log | 3.1818 | 280 | 0.7814 | 0.0412 | 0.7814 | 0.8840 |
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+ | No log | 3.2045 | 282 | 0.7751 | 0.1196 | 0.7751 | 0.8804 |
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+ | No log | 3.2273 | 284 | 0.8189 | 0.2009 | 0.8189 | 0.9049 |
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+ | No log | 3.25 | 286 | 0.9204 | 0.0283 | 0.9204 | 0.9594 |
195
+ | No log | 3.2727 | 288 | 0.8337 | 0.0588 | 0.8337 | 0.9131 |
196
+ | No log | 3.2955 | 290 | 0.7454 | 0.1254 | 0.7454 | 0.8634 |
197
+ | No log | 3.3182 | 292 | 0.7126 | 0.0964 | 0.7126 | 0.8442 |
198
+ | No log | 3.3409 | 294 | 0.7086 | 0.1318 | 0.7086 | 0.8418 |
199
+ | No log | 3.3636 | 296 | 0.8149 | 0.1633 | 0.8149 | 0.9027 |
200
+ | No log | 3.3864 | 298 | 0.9299 | 0.1065 | 0.9299 | 0.9643 |
201
+ | No log | 3.4091 | 300 | 0.8673 | 0.1522 | 0.8673 | 0.9313 |
202
+ | No log | 3.4318 | 302 | 0.8071 | 0.1691 | 0.8071 | 0.8984 |
203
+ | No log | 3.4545 | 304 | 0.7967 | 0.1691 | 0.7967 | 0.8926 |
204
+ | No log | 3.4773 | 306 | 0.7466 | 0.1691 | 0.7466 | 0.8641 |
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+ | No log | 3.5 | 308 | 0.7454 | 0.1691 | 0.7454 | 0.8633 |
206
+ | No log | 3.5227 | 310 | 0.7162 | 0.1259 | 0.7162 | 0.8463 |
207
+ | No log | 3.5455 | 312 | 0.6714 | 0.0964 | 0.6714 | 0.8194 |
208
+ | No log | 3.5682 | 314 | 0.6712 | 0.0964 | 0.6712 | 0.8193 |
209
+ | No log | 3.5909 | 316 | 0.6998 | 0.0914 | 0.6998 | 0.8366 |
210
+ | No log | 3.6136 | 318 | 0.7638 | 0.0879 | 0.7638 | 0.8740 |
211
+ | No log | 3.6364 | 320 | 0.8857 | 0.1264 | 0.8857 | 0.9411 |
212
+ | No log | 3.6591 | 322 | 0.9157 | 0.0779 | 0.9157 | 0.9569 |
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+ | No log | 3.6818 | 324 | 0.9403 | 0.0277 | 0.9403 | 0.9697 |
214
+ | No log | 3.7045 | 326 | 0.8744 | 0.0761 | 0.8744 | 0.9351 |
215
+ | No log | 3.7273 | 328 | 0.8297 | 0.0670 | 0.8297 | 0.9109 |
216
+ | No log | 3.75 | 330 | 0.8045 | 0.0660 | 0.8045 | 0.8969 |
217
+ | No log | 3.7727 | 332 | 0.8321 | 0.1431 | 0.8321 | 0.9122 |
218
+ | No log | 3.7955 | 334 | 0.8102 | 0.0741 | 0.8102 | 0.9001 |
219
+ | No log | 3.8182 | 336 | 0.8459 | 0.0514 | 0.8459 | 0.9197 |
220
+ | No log | 3.8409 | 338 | 0.8436 | 0.0069 | 0.8436 | 0.9185 |
221
+ | No log | 3.8636 | 340 | 0.8458 | 0.0660 | 0.8458 | 0.9197 |
222
+ | No log | 3.8864 | 342 | 0.8578 | 0.0257 | 0.8578 | 0.9262 |
223
+ | No log | 3.9091 | 344 | 0.8444 | 0.0633 | 0.8444 | 0.9189 |
224
+ | No log | 3.9318 | 346 | 0.7975 | 0.0323 | 0.7975 | 0.8930 |
225
+ | No log | 3.9545 | 348 | 0.7855 | 0.0 | 0.7855 | 0.8863 |
226
+ | No log | 3.9773 | 350 | 0.7736 | 0.0930 | 0.7736 | 0.8796 |
227
+ | No log | 4.0 | 352 | 0.7296 | 0.0918 | 0.7296 | 0.8542 |
228
+ | No log | 4.0227 | 354 | 0.7514 | 0.1097 | 0.7514 | 0.8669 |
229
+ | No log | 4.0455 | 356 | 0.9130 | 0.1025 | 0.9130 | 0.9555 |
230
+ | No log | 4.0682 | 358 | 0.8653 | 0.1395 | 0.8653 | 0.9302 |
231
+ | No log | 4.0909 | 360 | 0.7804 | 0.1047 | 0.7804 | 0.8834 |
232
+ | No log | 4.1136 | 362 | 0.7585 | 0.1565 | 0.7585 | 0.8709 |
233
+ | No log | 4.1364 | 364 | 0.7730 | 0.1565 | 0.7730 | 0.8792 |
234
+ | No log | 4.1591 | 366 | 0.7920 | 0.1232 | 0.7920 | 0.8900 |
235
+ | No log | 4.1818 | 368 | 0.8305 | 0.0771 | 0.8305 | 0.9113 |
236
+ | No log | 4.2045 | 370 | 0.8656 | 0.0652 | 0.8656 | 0.9304 |
237
+ | No log | 4.2273 | 372 | 0.9195 | 0.0802 | 0.9195 | 0.9589 |
238
+ | No log | 4.25 | 374 | 0.8823 | 0.0796 | 0.8823 | 0.9393 |
239
+ | No log | 4.2727 | 376 | 0.8760 | 0.0876 | 0.8760 | 0.9360 |
240
+ | No log | 4.2955 | 378 | 0.8336 | 0.1047 | 0.8336 | 0.9130 |
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+ | No log | 4.3182 | 380 | 0.7776 | 0.2181 | 0.7776 | 0.8818 |
242
+ | No log | 4.3409 | 382 | 0.8755 | -0.0056 | 0.8755 | 0.9357 |
243
+ | No log | 4.3636 | 384 | 0.8415 | 0.0230 | 0.8415 | 0.9173 |
244
+ | No log | 4.3864 | 386 | 0.7471 | 0.1404 | 0.7471 | 0.8643 |
245
+ | No log | 4.4091 | 388 | 0.7562 | 0.1675 | 0.7562 | 0.8696 |
246
+ | No log | 4.4318 | 390 | 0.8926 | 0.1190 | 0.8926 | 0.9448 |
247
+ | No log | 4.4545 | 392 | 0.9902 | 0.0557 | 0.9902 | 0.9951 |
248
+ | No log | 4.4773 | 394 | 0.9243 | 0.1475 | 0.9243 | 0.9614 |
249
+ | No log | 4.5 | 396 | 0.7969 | 0.1049 | 0.7969 | 0.8927 |
250
+ | No log | 4.5227 | 398 | 0.8467 | 0.1299 | 0.8467 | 0.9202 |
251
+ | No log | 4.5455 | 400 | 0.9184 | 0.0964 | 0.9184 | 0.9583 |
252
+ | No log | 4.5682 | 402 | 0.8917 | 0.1209 | 0.8917 | 0.9443 |
253
+ | No log | 4.5909 | 404 | 0.8588 | 0.0930 | 0.8588 | 0.9267 |
254
+ | No log | 4.6136 | 406 | 0.9018 | 0.0734 | 0.9018 | 0.9496 |
255
+ | No log | 4.6364 | 408 | 0.8351 | 0.1329 | 0.8351 | 0.9138 |
256
+ | No log | 4.6591 | 410 | 0.8090 | 0.1329 | 0.8090 | 0.8994 |
257
+ | No log | 4.6818 | 412 | 0.7248 | 0.2339 | 0.7248 | 0.8513 |
258
+ | No log | 4.7045 | 414 | 0.7108 | 0.1902 | 0.7108 | 0.8431 |
259
+ | No log | 4.7273 | 416 | 0.6987 | 0.2339 | 0.6987 | 0.8359 |
260
+ | No log | 4.75 | 418 | 0.7938 | 0.1097 | 0.7938 | 0.8910 |
261
+ | No log | 4.7727 | 420 | 0.9750 | -0.0094 | 0.9750 | 0.9874 |
262
+ | No log | 4.7955 | 422 | 0.9731 | 0.0293 | 0.9731 | 0.9865 |
263
+ | No log | 4.8182 | 424 | 0.8464 | 0.1096 | 0.8464 | 0.9200 |
264
+ | No log | 4.8409 | 426 | 0.8154 | 0.0361 | 0.8154 | 0.9030 |
265
+ | No log | 4.8636 | 428 | 0.8041 | 0.0757 | 0.8041 | 0.8967 |
266
+ | No log | 4.8864 | 430 | 0.8632 | 0.1506 | 0.8632 | 0.9291 |
267
+ | No log | 4.9091 | 432 | 1.0148 | 0.0353 | 1.0148 | 1.0074 |
268
+ | No log | 4.9318 | 434 | 1.1761 | -0.0151 | 1.1761 | 1.0845 |
269
+ | No log | 4.9545 | 436 | 1.0820 | 0.0224 | 1.0820 | 1.0402 |
270
+ | No log | 4.9773 | 438 | 0.8541 | 0.0953 | 0.8541 | 0.9242 |
271
+ | No log | 5.0 | 440 | 0.7556 | 0.1148 | 0.7556 | 0.8692 |
272
+ | No log | 5.0227 | 442 | 0.7568 | 0.1192 | 0.7568 | 0.8699 |
273
+ | No log | 5.0455 | 444 | 0.7970 | 0.0377 | 0.7970 | 0.8928 |
274
+ | No log | 5.0682 | 446 | 0.8249 | 0.0362 | 0.8249 | 0.9083 |
275
+ | No log | 5.0909 | 448 | 0.8241 | 0.0301 | 0.8241 | 0.9078 |
276
+ | No log | 5.1136 | 450 | 0.8541 | 0.0953 | 0.8541 | 0.9242 |
277
+ | No log | 5.1364 | 452 | 0.8876 | 0.0867 | 0.8876 | 0.9421 |
278
+ | No log | 5.1591 | 454 | 0.8376 | 0.0909 | 0.8376 | 0.9152 |
279
+ | No log | 5.1818 | 456 | 0.7954 | -0.0023 | 0.7954 | 0.8918 |
280
+ | No log | 5.2045 | 458 | 0.9194 | 0.0651 | 0.9194 | 0.9589 |
281
+ | No log | 5.2273 | 460 | 0.9282 | 0.0651 | 0.9282 | 0.9634 |
282
+ | No log | 5.25 | 462 | 0.8374 | 0.0827 | 0.8374 | 0.9151 |
283
+ | No log | 5.2727 | 464 | 0.8041 | 0.1096 | 0.8041 | 0.8967 |
284
+ | No log | 5.2955 | 466 | 0.8328 | 0.1105 | 0.8328 | 0.9126 |
285
+ | No log | 5.3182 | 468 | 0.7753 | 0.1097 | 0.7753 | 0.8805 |
286
+ | No log | 5.3409 | 470 | 0.7120 | 0.1691 | 0.7120 | 0.8438 |
287
+ | No log | 5.3636 | 472 | 0.7075 | 0.1444 | 0.7075 | 0.8411 |
288
+ | No log | 5.3864 | 474 | 0.7575 | 0.0930 | 0.7575 | 0.8703 |
289
+ | No log | 5.4091 | 476 | 0.8017 | 0.0078 | 0.8017 | 0.8954 |
290
+ | No log | 5.4318 | 478 | 0.7919 | 0.0884 | 0.7919 | 0.8899 |
291
+ | No log | 5.4545 | 480 | 0.8380 | 0.1183 | 0.8380 | 0.9154 |
292
+ | No log | 5.4773 | 482 | 0.8737 | 0.1718 | 0.8737 | 0.9347 |
293
+ | No log | 5.5 | 484 | 0.8197 | 0.0964 | 0.8197 | 0.9054 |
294
+ | No log | 5.5227 | 486 | 0.7585 | 0.0791 | 0.7585 | 0.8709 |
295
+ | No log | 5.5455 | 488 | 0.7253 | 0.0922 | 0.7253 | 0.8516 |
296
+ | No log | 5.5682 | 490 | 0.7143 | 0.1444 | 0.7143 | 0.8451 |
297
+ | No log | 5.5909 | 492 | 0.7260 | 0.1691 | 0.7260 | 0.8521 |
298
+ | No log | 5.6136 | 494 | 0.7693 | 0.1148 | 0.7693 | 0.8771 |
299
+ | No log | 5.6364 | 496 | 0.8151 | 0.1148 | 0.8151 | 0.9028 |
300
+ | No log | 5.6591 | 498 | 0.8028 | 0.1148 | 0.8028 | 0.8960 |
301
+ | 0.3314 | 5.6818 | 500 | 0.7706 | 0.1691 | 0.7706 | 0.8779 |
302
+ | 0.3314 | 5.7045 | 502 | 0.7790 | 0.1192 | 0.7790 | 0.8826 |
303
+ | 0.3314 | 5.7273 | 504 | 0.8151 | 0.1189 | 0.8151 | 0.9029 |
304
+ | 0.3314 | 5.75 | 506 | 0.8774 | 0.0525 | 0.8774 | 0.9367 |
305
+ | 0.3314 | 5.7727 | 508 | 0.9252 | -0.0008 | 0.9252 | 0.9619 |
306
+ | 0.3314 | 5.7955 | 510 | 0.8346 | 0.1047 | 0.8346 | 0.9135 |
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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