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ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k20_task1_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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task1_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_run1_AugV5_k19_task1_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: 1.1214
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+ - Qwk: 0.6143
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+ - Mse: 1.1214
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+ - Rmse: 1.0590
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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 | 0.0141 | 2 | 6.7440 | 0.0242 | 6.7440 | 2.5969 |
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+ | No log | 0.0282 | 4 | 5.2940 | 0.0220 | 5.2940 | 2.3009 |
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+ | No log | 0.0423 | 6 | 3.3084 | 0.1290 | 3.3084 | 1.8189 |
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+ | No log | 0.0563 | 8 | 2.2826 | 0.2286 | 2.2826 | 1.5108 |
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+ | No log | 0.0704 | 10 | 1.8655 | 0.125 | 1.8655 | 1.3658 |
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+ | No log | 0.0845 | 12 | 1.7103 | 0.1132 | 1.7103 | 1.3078 |
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+ | No log | 0.0986 | 14 | 1.6698 | 0.1308 | 1.6698 | 1.2922 |
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+ | No log | 0.1127 | 16 | 1.6239 | 0.3471 | 1.6239 | 1.2743 |
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+ | No log | 0.1268 | 18 | 1.6686 | 0.3200 | 1.6686 | 1.2917 |
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+ | No log | 0.1408 | 20 | 1.9506 | 0.2609 | 1.9506 | 1.3966 |
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+ | No log | 0.1549 | 22 | 1.3913 | 0.4375 | 1.3913 | 1.1795 |
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+ | No log | 0.1690 | 24 | 1.6055 | 0.3817 | 1.6055 | 1.2671 |
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+ | No log | 0.1831 | 26 | 1.9794 | 0.1077 | 1.9794 | 1.4069 |
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+ | No log | 0.1972 | 28 | 1.7775 | 0.2258 | 1.7775 | 1.3332 |
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+ | No log | 0.2113 | 30 | 1.3990 | 0.3793 | 1.3990 | 1.1828 |
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+ | No log | 0.2254 | 32 | 1.3736 | 0.3423 | 1.3736 | 1.1720 |
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+ | No log | 0.2394 | 34 | 1.3730 | 0.2617 | 1.3730 | 1.1718 |
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+ | No log | 0.2535 | 36 | 1.3779 | 0.3273 | 1.3779 | 1.1739 |
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+ | No log | 0.2676 | 38 | 1.4917 | 0.3652 | 1.4917 | 1.2214 |
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+ | No log | 0.2817 | 40 | 1.6636 | 0.2689 | 1.6636 | 1.2898 |
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+ | No log | 0.2958 | 42 | 1.7542 | 0.3125 | 1.7542 | 1.3245 |
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+ | No log | 0.3099 | 44 | 1.3129 | 0.4769 | 1.3129 | 1.1458 |
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+ | No log | 0.3239 | 46 | 1.0856 | 0.5692 | 1.0856 | 1.0419 |
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+ | No log | 0.3380 | 48 | 0.8973 | 0.6618 | 0.8973 | 0.9473 |
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+ | No log | 0.3521 | 50 | 0.8698 | 0.7 | 0.8698 | 0.9326 |
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+ | No log | 0.3662 | 52 | 0.9331 | 0.7190 | 0.9331 | 0.9659 |
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+ | No log | 0.3803 | 54 | 0.8663 | 0.6933 | 0.8663 | 0.9307 |
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+ | No log | 0.3944 | 56 | 1.1653 | 0.5077 | 1.1653 | 1.0795 |
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+ | No log | 0.4085 | 58 | 1.9724 | 0.0672 | 1.9724 | 1.4044 |
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+ | No log | 0.4225 | 60 | 1.9031 | 0.1406 | 1.9031 | 1.3795 |
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+ | No log | 0.4366 | 62 | 1.3217 | 0.4769 | 1.3217 | 1.1497 |
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+ | No log | 0.4507 | 64 | 1.0487 | 0.5692 | 1.0487 | 1.0241 |
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+ | No log | 0.4648 | 66 | 1.2912 | 0.4923 | 1.2912 | 1.1363 |
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+ | No log | 0.4789 | 68 | 1.0597 | 0.6142 | 1.0597 | 1.0294 |
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+ | No log | 0.4930 | 70 | 1.0556 | 0.5827 | 1.0556 | 1.0274 |
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+ | No log | 0.5070 | 72 | 1.1047 | 0.5344 | 1.1047 | 1.0510 |
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+ | No log | 0.5211 | 74 | 1.0206 | 0.6212 | 1.0206 | 1.0102 |
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+ | No log | 0.5352 | 76 | 0.8976 | 0.7059 | 0.8976 | 0.9474 |
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+ | No log | 0.5493 | 78 | 0.9363 | 0.6618 | 0.9363 | 0.9676 |
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+ | No log | 0.5634 | 80 | 1.2574 | 0.5224 | 1.2574 | 1.1213 |
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+ | No log | 0.5775 | 82 | 1.0410 | 0.5672 | 1.0410 | 1.0203 |
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+ | No log | 0.5915 | 84 | 0.8990 | 0.6806 | 0.8990 | 0.9481 |
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+ | No log | 0.6056 | 86 | 1.1185 | 0.5850 | 1.1185 | 1.0576 |
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+ | No log | 0.6197 | 88 | 0.8235 | 0.7260 | 0.8235 | 0.9075 |
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+ | No log | 0.6338 | 90 | 0.8973 | 0.6331 | 0.8973 | 0.9473 |
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+ | No log | 0.6479 | 92 | 1.2783 | 0.5147 | 1.2783 | 1.1306 |
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+ | No log | 0.6620 | 94 | 1.2196 | 0.5401 | 1.2196 | 1.1044 |
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+ | No log | 0.6761 | 96 | 0.8845 | 0.6074 | 0.8845 | 0.9405 |
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+ | No log | 0.6901 | 98 | 0.8184 | 0.7353 | 0.8184 | 0.9046 |
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+ | No log | 0.7042 | 100 | 0.8440 | 0.7164 | 0.8440 | 0.9187 |
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+ | No log | 0.7183 | 102 | 0.8693 | 0.6324 | 0.8693 | 0.9324 |
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+ | No log | 0.7324 | 104 | 0.8373 | 0.6324 | 0.8373 | 0.9150 |
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+ | No log | 0.7465 | 106 | 0.9279 | 0.6074 | 0.9279 | 0.9633 |
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+ | No log | 0.7606 | 108 | 1.1173 | 0.5714 | 1.1173 | 1.0570 |
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+ | No log | 0.7746 | 110 | 1.3111 | 0.5175 | 1.3111 | 1.1451 |
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+ | No log | 0.7887 | 112 | 1.3648 | 0.5 | 1.3648 | 1.1682 |
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+ | No log | 0.8028 | 114 | 1.2358 | 0.5811 | 1.2358 | 1.1117 |
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+ | No log | 0.8169 | 116 | 0.8963 | 0.6309 | 0.8963 | 0.9467 |
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+ | No log | 0.8310 | 118 | 0.8672 | 0.6316 | 0.8672 | 0.9313 |
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+ | No log | 0.8451 | 120 | 1.0217 | 0.6225 | 1.0217 | 1.0108 |
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+ | No log | 0.8592 | 122 | 1.0680 | 0.6420 | 1.0680 | 1.0335 |
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+ | No log | 0.8732 | 124 | 0.8092 | 0.6622 | 0.8092 | 0.8996 |
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+ | No log | 0.8873 | 126 | 0.6600 | 0.7432 | 0.6600 | 0.8124 |
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+ | No log | 0.9014 | 128 | 0.6742 | 0.7808 | 0.6742 | 0.8211 |
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+ | No log | 0.9155 | 130 | 1.0069 | 0.6389 | 1.0069 | 1.0035 |
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+ | No log | 0.9296 | 132 | 1.5822 | 0.3724 | 1.5822 | 1.2578 |
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+ | No log | 0.9437 | 134 | 1.4887 | 0.3857 | 1.4887 | 1.2201 |
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+ | No log | 0.9577 | 136 | 0.9638 | 0.5865 | 0.9638 | 0.9817 |
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+ | No log | 0.9718 | 138 | 0.7901 | 0.6970 | 0.7901 | 0.8889 |
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+ | No log | 0.9859 | 140 | 0.8876 | 0.5865 | 0.8876 | 0.9421 |
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+ | No log | 1.0 | 142 | 0.8067 | 0.6316 | 0.8067 | 0.8981 |
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+ | No log | 1.0141 | 144 | 0.7887 | 0.7121 | 0.7887 | 0.8881 |
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+ | No log | 1.0282 | 146 | 1.1604 | 0.5224 | 1.1604 | 1.0772 |
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+ | No log | 1.0423 | 148 | 1.3343 | 0.5 | 1.3343 | 1.1551 |
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+ | No log | 1.0563 | 150 | 1.1131 | 0.5755 | 1.1131 | 1.0550 |
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+ | No log | 1.0704 | 152 | 0.7185 | 0.7153 | 0.7185 | 0.8476 |
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+ | No log | 1.0845 | 154 | 0.6178 | 0.7518 | 0.6178 | 0.7860 |
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+ | No log | 1.0986 | 156 | 0.6170 | 0.7518 | 0.6170 | 0.7855 |
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+ | No log | 1.1127 | 158 | 0.7039 | 0.7347 | 0.7039 | 0.8390 |
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+ | No log | 1.1268 | 160 | 1.2500 | 0.5890 | 1.2500 | 1.1180 |
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+ | No log | 1.1408 | 162 | 1.5417 | 0.5185 | 1.5417 | 1.2416 |
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+ | No log | 1.1549 | 164 | 1.3428 | 0.5526 | 1.3428 | 1.1588 |
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+ | No log | 1.1690 | 166 | 1.0460 | 0.6389 | 1.0460 | 1.0228 |
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+ | No log | 1.1831 | 168 | 0.9130 | 0.6331 | 0.9130 | 0.9555 |
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+ | No log | 1.1972 | 170 | 0.7866 | 0.6957 | 0.7866 | 0.8869 |
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+ | No log | 1.2113 | 172 | 0.8143 | 0.6618 | 0.8143 | 0.9024 |
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+ | No log | 1.2254 | 174 | 1.0080 | 0.5802 | 1.0080 | 1.0040 |
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+ | No log | 1.2394 | 176 | 1.2833 | 0.5038 | 1.2833 | 1.1328 |
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+ | No log | 1.2535 | 178 | 1.4008 | 0.4593 | 1.4008 | 1.1835 |
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+ | No log | 1.2676 | 180 | 1.2106 | 0.5224 | 1.2106 | 1.1003 |
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+ | No log | 1.2817 | 182 | 0.9220 | 0.6308 | 0.9220 | 0.9602 |
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+ | No log | 1.2958 | 184 | 0.7785 | 0.7111 | 0.7785 | 0.8823 |
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+ | No log | 1.3099 | 186 | 0.7528 | 0.7206 | 0.7528 | 0.8676 |
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+ | No log | 1.3239 | 188 | 0.8576 | 0.6412 | 0.8576 | 0.9261 |
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+ | No log | 1.3380 | 190 | 1.0571 | 0.6447 | 1.0571 | 1.0281 |
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+ | No log | 1.3521 | 192 | 1.0745 | 0.6410 | 1.0745 | 1.0366 |
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+ | No log | 1.3662 | 194 | 0.8194 | 0.6944 | 0.8194 | 0.9052 |
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+ | No log | 1.3803 | 196 | 0.6416 | 0.7671 | 0.6416 | 0.8010 |
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+ | No log | 1.3944 | 198 | 0.6060 | 0.8105 | 0.6060 | 0.7785 |
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+ | No log | 1.4085 | 200 | 0.7386 | 0.7470 | 0.7386 | 0.8594 |
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+ | No log | 1.4225 | 202 | 0.8371 | 0.7066 | 0.8371 | 0.9150 |
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+ | No log | 1.4366 | 204 | 0.7535 | 0.7389 | 0.7535 | 0.8681 |
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+ | No log | 1.4507 | 206 | 0.8178 | 0.6933 | 0.8178 | 0.9043 |
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+ | No log | 1.4648 | 208 | 0.9892 | 0.6207 | 0.9892 | 0.9946 |
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+ | No log | 1.4789 | 210 | 0.9484 | 0.6119 | 0.9484 | 0.9739 |
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+ | No log | 1.4930 | 212 | 0.9129 | 0.6277 | 0.9129 | 0.9555 |
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+ | No log | 1.5070 | 214 | 1.0244 | 0.6043 | 1.0244 | 1.0121 |
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+ | No log | 1.5211 | 216 | 0.9973 | 0.6232 | 0.9973 | 0.9987 |
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+ | No log | 1.5352 | 218 | 0.9717 | 0.6622 | 0.9717 | 0.9857 |
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+ | No log | 1.5493 | 220 | 0.8828 | 0.6429 | 0.8828 | 0.9396 |
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+ | No log | 1.5634 | 222 | 0.8831 | 0.6712 | 0.8831 | 0.9397 |
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+ | No log | 1.5775 | 224 | 1.1185 | 0.5874 | 1.1185 | 1.0576 |
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+ | No log | 1.5915 | 226 | 1.1407 | 0.5714 | 1.1407 | 1.0680 |
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+ | No log | 1.6056 | 228 | 0.8499 | 0.6475 | 0.8499 | 0.9219 |
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+ | No log | 1.6197 | 230 | 0.7666 | 0.6716 | 0.7666 | 0.8755 |
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+ | No log | 1.6338 | 232 | 0.8144 | 0.6364 | 0.8144 | 0.9025 |
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+ | No log | 1.6479 | 234 | 0.8424 | 0.6423 | 0.8424 | 0.9178 |
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+ | No log | 1.6620 | 236 | 1.0570 | 0.625 | 1.0570 | 1.0281 |
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+ | No log | 1.6761 | 238 | 1.1823 | 0.6460 | 1.1823 | 1.0874 |
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+ | No log | 1.6901 | 240 | 1.1059 | 0.6541 | 1.1059 | 1.0516 |
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+ | No log | 1.7042 | 242 | 0.7642 | 0.7114 | 0.7642 | 0.8742 |
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+ | No log | 1.7183 | 244 | 0.6791 | 0.75 | 0.6791 | 0.8241 |
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+ | No log | 1.7324 | 246 | 0.6777 | 0.7647 | 0.6777 | 0.8232 |
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+ | No log | 1.7465 | 248 | 0.8198 | 0.6962 | 0.8198 | 0.9054 |
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+ | No log | 1.7606 | 250 | 1.0871 | 0.6452 | 1.0871 | 1.0427 |
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+ | No log | 1.7746 | 252 | 1.0364 | 0.6582 | 1.0364 | 1.0180 |
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+ | No log | 1.7887 | 254 | 0.8287 | 0.6667 | 0.8287 | 0.9103 |
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+ | No log | 1.8028 | 256 | 0.8374 | 0.6619 | 0.8374 | 0.9151 |
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+ | No log | 1.8169 | 258 | 1.0605 | 0.6301 | 1.0605 | 1.0298 |
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+ | No log | 1.8310 | 260 | 1.2231 | 0.6122 | 1.2231 | 1.1059 |
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+ | No log | 1.8451 | 262 | 1.0880 | 0.6069 | 1.0880 | 1.0431 |
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+ | No log | 1.8592 | 264 | 0.7917 | 0.6519 | 0.7917 | 0.8898 |
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+ | No log | 1.8732 | 266 | 0.7044 | 0.6963 | 0.7044 | 0.8393 |
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+ | No log | 1.8873 | 268 | 0.8074 | 0.6806 | 0.8074 | 0.8985 |
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+ | No log | 1.9014 | 270 | 1.0232 | 0.6456 | 1.0232 | 1.0115 |
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+ | No log | 1.9155 | 272 | 1.3892 | 0.5679 | 1.3892 | 1.1787 |
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+ | No log | 1.9296 | 274 | 1.3891 | 0.5509 | 1.3891 | 1.1786 |
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+ | No log | 1.9437 | 276 | 1.1799 | 0.6552 | 1.1799 | 1.0862 |
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+ | No log | 1.9577 | 278 | 0.9384 | 0.6538 | 0.9384 | 0.9687 |
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+ | No log | 1.9718 | 280 | 0.7552 | 0.7050 | 0.7552 | 0.8690 |
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+ | No log | 1.9859 | 282 | 0.7083 | 0.7259 | 0.7083 | 0.8416 |
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+ | No log | 2.0 | 284 | 0.7529 | 0.6870 | 0.7529 | 0.8677 |
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+ | No log | 2.0141 | 286 | 0.8592 | 0.6618 | 0.8592 | 0.9269 |
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+ | No log | 2.0282 | 288 | 0.9947 | 0.6377 | 0.9947 | 0.9974 |
196
+ | No log | 2.0423 | 290 | 0.9650 | 0.6222 | 0.9650 | 0.9823 |
197
+ | No log | 2.0563 | 292 | 0.8001 | 0.6406 | 0.8001 | 0.8945 |
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+ | No log | 2.0704 | 294 | 0.7126 | 0.6815 | 0.7126 | 0.8442 |
199
+ | No log | 2.0845 | 296 | 0.7479 | 0.6980 | 0.7479 | 0.8648 |
200
+ | No log | 2.0986 | 298 | 1.0272 | 0.6708 | 1.0272 | 1.0135 |
201
+ | No log | 2.1127 | 300 | 1.1649 | 0.6173 | 1.1649 | 1.0793 |
202
+ | No log | 2.1268 | 302 | 1.0545 | 0.6531 | 1.0545 | 1.0269 |
203
+ | No log | 2.1408 | 304 | 0.8614 | 0.6667 | 0.8614 | 0.9281 |
204
+ | No log | 2.1549 | 306 | 0.8295 | 0.6769 | 0.8295 | 0.9107 |
205
+ | No log | 2.1690 | 308 | 0.8993 | 0.6418 | 0.8993 | 0.9483 |
206
+ | No log | 2.1831 | 310 | 1.1010 | 0.6282 | 1.1010 | 1.0493 |
207
+ | No log | 2.1972 | 312 | 1.1787 | 0.6135 | 1.1787 | 1.0857 |
208
+ | No log | 2.2113 | 314 | 1.3576 | 0.5647 | 1.3576 | 1.1651 |
209
+ | No log | 2.2254 | 316 | 1.2120 | 0.5478 | 1.2120 | 1.1009 |
210
+ | No log | 2.2394 | 318 | 1.0059 | 0.6533 | 1.0059 | 1.0030 |
211
+ | No log | 2.2535 | 320 | 0.9030 | 0.6370 | 0.9030 | 0.9503 |
212
+ | No log | 2.2676 | 322 | 0.8499 | 0.6812 | 0.8499 | 0.9219 |
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+ | No log | 2.2817 | 324 | 0.9406 | 0.6579 | 0.9406 | 0.9698 |
214
+ | No log | 2.2958 | 326 | 0.9956 | 0.6667 | 0.9956 | 0.9978 |
215
+ | No log | 2.3099 | 328 | 0.9049 | 0.6579 | 0.9049 | 0.9513 |
216
+ | No log | 2.3239 | 330 | 0.8125 | 0.6809 | 0.8125 | 0.9014 |
217
+ | No log | 2.3380 | 332 | 0.7437 | 0.7286 | 0.7437 | 0.8624 |
218
+ | No log | 2.3521 | 334 | 0.8225 | 0.7285 | 0.8225 | 0.9069 |
219
+ | No log | 2.3662 | 336 | 1.0335 | 0.6463 | 1.0335 | 1.0166 |
220
+ | No log | 2.3803 | 338 | 1.1395 | 0.6 | 1.1395 | 1.0675 |
221
+ | No log | 2.3944 | 340 | 0.9304 | 0.6710 | 0.9304 | 0.9646 |
222
+ | No log | 2.4085 | 342 | 0.7049 | 0.7391 | 0.7049 | 0.8396 |
223
+ | No log | 2.4225 | 344 | 0.6756 | 0.7832 | 0.6756 | 0.8219 |
224
+ | No log | 2.4366 | 346 | 0.6993 | 0.7391 | 0.6993 | 0.8363 |
225
+ | No log | 2.4507 | 348 | 0.9126 | 0.6713 | 0.9126 | 0.9553 |
226
+ | No log | 2.4648 | 350 | 1.1028 | 0.625 | 1.1028 | 1.0502 |
227
+ | No log | 2.4789 | 352 | 1.0142 | 0.6383 | 1.0142 | 1.0071 |
228
+ | No log | 2.4930 | 354 | 0.8221 | 0.6667 | 0.8221 | 0.9067 |
229
+ | No log | 2.5070 | 356 | 0.6899 | 0.7571 | 0.6899 | 0.8306 |
230
+ | No log | 2.5211 | 358 | 0.6967 | 0.7338 | 0.6967 | 0.8347 |
231
+ | No log | 2.5352 | 360 | 0.8171 | 0.6939 | 0.8171 | 0.9039 |
232
+ | No log | 2.5493 | 362 | 1.2282 | 0.5839 | 1.2282 | 1.1083 |
233
+ | No log | 2.5634 | 364 | 1.4694 | 0.5116 | 1.4694 | 1.2122 |
234
+ | No log | 2.5775 | 366 | 1.3706 | 0.5065 | 1.3706 | 1.1707 |
235
+ | No log | 2.5915 | 368 | 1.0564 | 0.6286 | 1.0564 | 1.0278 |
236
+ | No log | 2.6056 | 370 | 0.7913 | 0.6870 | 0.7913 | 0.8896 |
237
+ | No log | 2.6197 | 372 | 0.7205 | 0.6917 | 0.7205 | 0.8488 |
238
+ | No log | 2.6338 | 374 | 0.7456 | 0.7164 | 0.7456 | 0.8635 |
239
+ | No log | 2.6479 | 376 | 0.9632 | 0.6622 | 0.9632 | 0.9814 |
240
+ | No log | 2.6620 | 378 | 1.3262 | 0.5488 | 1.3262 | 1.1516 |
241
+ | No log | 2.6761 | 380 | 1.3304 | 0.5967 | 1.3304 | 1.1535 |
242
+ | No log | 2.6901 | 382 | 1.0394 | 0.6433 | 1.0394 | 1.0195 |
243
+ | No log | 2.7042 | 384 | 0.7160 | 0.75 | 0.7160 | 0.8461 |
244
+ | No log | 2.7183 | 386 | 0.6142 | 0.7919 | 0.6142 | 0.7837 |
245
+ | No log | 2.7324 | 388 | 0.6132 | 0.7919 | 0.6132 | 0.7831 |
246
+ | No log | 2.7465 | 390 | 0.7013 | 0.7702 | 0.7013 | 0.8374 |
247
+ | No log | 2.7606 | 392 | 0.9525 | 0.6627 | 0.9525 | 0.9759 |
248
+ | No log | 2.7746 | 394 | 1.1454 | 0.6076 | 1.1454 | 1.0702 |
249
+ | No log | 2.7887 | 396 | 1.0687 | 0.5915 | 1.0687 | 1.0338 |
250
+ | No log | 2.8028 | 398 | 0.8730 | 0.6370 | 0.8730 | 0.9344 |
251
+ | No log | 2.8169 | 400 | 0.7101 | 0.7164 | 0.7101 | 0.8427 |
252
+ | No log | 2.8310 | 402 | 0.6828 | 0.7407 | 0.6828 | 0.8263 |
253
+ | No log | 2.8451 | 404 | 0.7016 | 0.7299 | 0.7016 | 0.8376 |
254
+ | No log | 2.8592 | 406 | 0.7366 | 0.7015 | 0.7366 | 0.8583 |
255
+ | No log | 2.8732 | 408 | 0.7954 | 0.7297 | 0.7954 | 0.8919 |
256
+ | No log | 2.8873 | 410 | 0.8738 | 0.6536 | 0.8738 | 0.9348 |
257
+ | No log | 2.9014 | 412 | 1.0533 | 0.6667 | 1.0533 | 1.0263 |
258
+ | No log | 2.9155 | 414 | 1.1614 | 0.6480 | 1.1614 | 1.0777 |
259
+ | No log | 2.9296 | 416 | 0.9818 | 0.6667 | 0.9818 | 0.9909 |
260
+ | No log | 2.9437 | 418 | 0.7215 | 0.7006 | 0.7215 | 0.8494 |
261
+ | No log | 2.9577 | 420 | 0.6422 | 0.7692 | 0.6422 | 0.8014 |
262
+ | No log | 2.9718 | 422 | 0.6573 | 0.7692 | 0.6573 | 0.8107 |
263
+ | No log | 2.9859 | 424 | 0.6745 | 0.7770 | 0.6745 | 0.8213 |
264
+ | No log | 3.0 | 426 | 0.9489 | 0.6187 | 0.9489 | 0.9741 |
265
+ | No log | 3.0141 | 428 | 1.3060 | 0.5101 | 1.3060 | 1.1428 |
266
+ | No log | 3.0282 | 430 | 1.3793 | 0.5290 | 1.3793 | 1.1744 |
267
+ | No log | 3.0423 | 432 | 1.1668 | 0.5621 | 1.1668 | 1.0802 |
268
+ | No log | 3.0563 | 434 | 0.9193 | 0.6620 | 0.9193 | 0.9588 |
269
+ | No log | 3.0704 | 436 | 0.8717 | 0.6667 | 0.8717 | 0.9336 |
270
+ | No log | 3.0845 | 438 | 0.8284 | 0.6519 | 0.8284 | 0.9101 |
271
+ | No log | 3.0986 | 440 | 0.7904 | 0.6202 | 0.7904 | 0.8890 |
272
+ | No log | 3.1127 | 442 | 0.8700 | 0.6712 | 0.8700 | 0.9327 |
273
+ | No log | 3.1268 | 444 | 1.0220 | 0.6623 | 1.0220 | 1.0109 |
274
+ | No log | 3.1408 | 446 | 1.1568 | 0.6203 | 1.1568 | 1.0755 |
275
+ | No log | 3.1549 | 448 | 1.1233 | 0.6093 | 1.1233 | 1.0599 |
276
+ | No log | 3.1690 | 450 | 0.9876 | 0.6383 | 0.9876 | 0.9938 |
277
+ | No log | 3.1831 | 452 | 0.8126 | 0.6457 | 0.8126 | 0.9014 |
278
+ | No log | 3.1972 | 454 | 0.7353 | 0.6970 | 0.7353 | 0.8575 |
279
+ | No log | 3.2113 | 456 | 0.7074 | 0.7068 | 0.7074 | 0.8411 |
280
+ | No log | 3.2254 | 458 | 0.7119 | 0.7259 | 0.7119 | 0.8438 |
281
+ | No log | 3.2394 | 460 | 0.9340 | 0.6369 | 0.9340 | 0.9665 |
282
+ | No log | 3.2535 | 462 | 1.0673 | 0.6554 | 1.0673 | 1.0331 |
283
+ | No log | 3.2676 | 464 | 1.0102 | 0.6341 | 1.0102 | 1.0051 |
284
+ | No log | 3.2817 | 466 | 0.8466 | 0.6795 | 0.8466 | 0.9201 |
285
+ | No log | 3.2958 | 468 | 0.7423 | 0.7194 | 0.7423 | 0.8615 |
286
+ | No log | 3.3099 | 470 | 0.7499 | 0.7259 | 0.7499 | 0.8660 |
287
+ | No log | 3.3239 | 472 | 0.8142 | 0.6870 | 0.8142 | 0.9023 |
288
+ | No log | 3.3380 | 474 | 0.8775 | 0.6667 | 0.8775 | 0.9368 |
289
+ | No log | 3.3521 | 476 | 0.9104 | 0.6835 | 0.9104 | 0.9542 |
290
+ | No log | 3.3662 | 478 | 1.0112 | 0.6627 | 1.0112 | 1.0056 |
291
+ | No log | 3.3803 | 480 | 1.0261 | 0.6627 | 1.0261 | 1.0130 |
292
+ | No log | 3.3944 | 482 | 0.9375 | 0.6708 | 0.9375 | 0.9682 |
293
+ | No log | 3.4085 | 484 | 0.8628 | 0.6812 | 0.8628 | 0.9289 |
294
+ | No log | 3.4225 | 486 | 0.8253 | 0.6769 | 0.8253 | 0.9084 |
295
+ | No log | 3.4366 | 488 | 0.7833 | 0.6512 | 0.7833 | 0.8850 |
296
+ | No log | 3.4507 | 490 | 0.7329 | 0.7246 | 0.7329 | 0.8561 |
297
+ | No log | 3.4648 | 492 | 0.6724 | 0.7246 | 0.6724 | 0.8200 |
298
+ | No log | 3.4789 | 494 | 0.6104 | 0.7917 | 0.6104 | 0.7813 |
299
+ | No log | 3.4930 | 496 | 0.6171 | 0.7613 | 0.6171 | 0.7855 |
300
+ | No log | 3.5070 | 498 | 0.7663 | 0.7453 | 0.7663 | 0.8754 |
301
+ | 0.4825 | 3.5211 | 500 | 0.8382 | 0.7308 | 0.8382 | 0.9155 |
302
+ | 0.4825 | 3.5352 | 502 | 0.8454 | 0.7226 | 0.8454 | 0.9195 |
303
+ | 0.4825 | 3.5493 | 504 | 0.7908 | 0.6939 | 0.7908 | 0.8893 |
304
+ | 0.4825 | 3.5634 | 506 | 0.7962 | 0.6716 | 0.7962 | 0.8923 |
305
+ | 0.4825 | 3.5775 | 508 | 0.9049 | 0.6471 | 0.9049 | 0.9512 |
306
+ | 0.4825 | 3.5915 | 510 | 1.1214 | 0.6143 | 1.1214 | 1.0590 |
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
32
+ }
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