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ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k2_task3_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_FineTuningAraBERT_run3_AugV5_k1_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_FineTuningAraBERT_run3_AugV5_k1_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: 0.7947
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+ - Qwk: 0.0732
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+ - Mse: 0.7947
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+ - Rmse: 0.8915
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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 | 0.3333 | 2 | 3.5985 | -0.0058 | 3.5985 | 1.8970 |
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+ | No log | 0.6667 | 4 | 2.0854 | 0.0304 | 2.0854 | 1.4441 |
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+ | No log | 1.0 | 6 | 1.4246 | -0.0265 | 1.4246 | 1.1936 |
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+ | No log | 1.3333 | 8 | 1.6141 | 0.0194 | 1.6141 | 1.2705 |
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+ | No log | 1.6667 | 10 | 0.8606 | 0.0129 | 0.8606 | 0.9277 |
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+ | No log | 2.0 | 12 | 0.7360 | 0.0857 | 0.7360 | 0.8579 |
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+ | No log | 2.3333 | 14 | 0.7941 | 0.0191 | 0.7941 | 0.8911 |
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+ | No log | 2.6667 | 16 | 0.7895 | 0.0191 | 0.7895 | 0.8886 |
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+ | No log | 3.0 | 18 | 1.0750 | 0.0309 | 1.0750 | 1.0368 |
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+ | No log | 3.3333 | 20 | 0.9576 | 0.0320 | 0.9576 | 0.9786 |
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+ | No log | 3.6667 | 22 | 0.8243 | 0.1561 | 0.8243 | 0.9079 |
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+ | No log | 4.0 | 24 | 0.9648 | 0.1636 | 0.9648 | 0.9822 |
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+ | No log | 4.3333 | 26 | 1.2644 | 0.0310 | 1.2644 | 1.1244 |
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+ | No log | 4.6667 | 28 | 1.1342 | 0.0808 | 1.1342 | 1.0650 |
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+ | No log | 5.0 | 30 | 1.0170 | 0.1490 | 1.0170 | 1.0084 |
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+ | No log | 5.3333 | 32 | 1.1711 | 0.0746 | 1.1711 | 1.0822 |
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+ | No log | 5.6667 | 34 | 1.2028 | 0.0448 | 1.2028 | 1.0967 |
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+ | No log | 6.0 | 36 | 1.1016 | -0.0007 | 1.1016 | 1.0496 |
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+ | No log | 6.3333 | 38 | 1.2012 | 0.0379 | 1.2012 | 1.0960 |
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+ | No log | 6.6667 | 40 | 0.9958 | 0.0852 | 0.9958 | 0.9979 |
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+ | No log | 7.0 | 42 | 1.2038 | 0.1011 | 1.2038 | 1.0972 |
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+ | No log | 7.3333 | 44 | 1.0823 | -0.0323 | 1.0823 | 1.0403 |
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+ | No log | 7.6667 | 46 | 1.2943 | 0.0599 | 1.2943 | 1.1377 |
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+ | No log | 8.0 | 48 | 1.0769 | -0.0304 | 1.0769 | 1.0377 |
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+ | No log | 8.3333 | 50 | 1.1115 | 0.0657 | 1.1115 | 1.0543 |
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+ | No log | 8.6667 | 52 | 1.1320 | 0.0063 | 1.1320 | 1.0640 |
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+ | No log | 9.0 | 54 | 0.9966 | 0.0559 | 0.9966 | 0.9983 |
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+ | No log | 9.3333 | 56 | 1.0106 | -0.0535 | 1.0106 | 1.0053 |
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+ | No log | 9.6667 | 58 | 1.0469 | -0.0194 | 1.0469 | 1.0232 |
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+ | No log | 10.0 | 60 | 1.0263 | -0.0409 | 1.0263 | 1.0131 |
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+ | No log | 10.3333 | 62 | 1.0840 | -0.0285 | 1.0840 | 1.0411 |
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+ | No log | 10.6667 | 64 | 0.9976 | 0.0476 | 0.9976 | 0.9988 |
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+ | No log | 11.0 | 66 | 1.0476 | 0.0244 | 1.0476 | 1.0235 |
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+ | No log | 11.3333 | 68 | 1.0282 | 0.0802 | 1.0282 | 1.0140 |
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+ | No log | 11.6667 | 70 | 1.0249 | 0.0996 | 1.0249 | 1.0124 |
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+ | No log | 12.0 | 72 | 0.9961 | -0.0208 | 0.9961 | 0.9980 |
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+ | No log | 12.3333 | 74 | 0.8806 | 0.0606 | 0.8806 | 0.9384 |
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+ | No log | 12.6667 | 76 | 0.7950 | 0.0449 | 0.7950 | 0.8916 |
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+ | No log | 13.0 | 78 | 0.9334 | 0.0207 | 0.9334 | 0.9661 |
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+ | No log | 13.3333 | 80 | 0.8615 | 0.0490 | 0.8615 | 0.9282 |
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+ | No log | 13.6667 | 82 | 0.8439 | 0.0025 | 0.8439 | 0.9186 |
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+ | No log | 14.0 | 84 | 1.0273 | 0.0734 | 1.0273 | 1.0136 |
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+ | No log | 14.3333 | 86 | 0.9783 | 0.0464 | 0.9783 | 0.9891 |
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+ | No log | 14.6667 | 88 | 1.0563 | 0.0149 | 1.0563 | 1.0278 |
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+ | No log | 15.0 | 90 | 1.0854 | 0.0062 | 1.0854 | 1.0418 |
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+ | No log | 15.3333 | 92 | 0.9269 | 0.0262 | 0.9269 | 0.9628 |
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+ | No log | 15.6667 | 94 | 0.9040 | 0.0172 | 0.9040 | 0.9508 |
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+ | No log | 16.0 | 96 | 0.8451 | -0.0178 | 0.8451 | 0.9193 |
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+ | No log | 16.3333 | 98 | 0.8333 | -0.0614 | 0.8333 | 0.9128 |
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+ | No log | 16.6667 | 100 | 0.8459 | 0.0051 | 0.8459 | 0.9197 |
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+ | No log | 17.0 | 102 | 0.8893 | 0.0208 | 0.8893 | 0.9430 |
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+ | No log | 17.3333 | 104 | 0.9031 | -0.0138 | 0.9031 | 0.9503 |
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+ | No log | 17.6667 | 106 | 0.9573 | 0.0547 | 0.9573 | 0.9784 |
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+ | No log | 18.0 | 108 | 1.1123 | 0.0366 | 1.1123 | 1.0546 |
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+ | No log | 18.3333 | 110 | 1.0005 | 0.0494 | 1.0005 | 1.0002 |
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+ | No log | 18.6667 | 112 | 0.9932 | -0.0044 | 0.9932 | 0.9966 |
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+ | No log | 19.0 | 114 | 0.9629 | 0.0913 | 0.9629 | 0.9813 |
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+ | No log | 19.3333 | 116 | 0.9107 | 0.0870 | 0.9107 | 0.9543 |
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+ | No log | 19.6667 | 118 | 0.8642 | -0.0186 | 0.8642 | 0.9296 |
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+ | No log | 20.0 | 120 | 0.9241 | -0.0408 | 0.9241 | 0.9613 |
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+ | No log | 20.3333 | 122 | 0.9368 | -0.0441 | 0.9368 | 0.9679 |
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+ | No log | 20.6667 | 124 | 0.8366 | -0.0295 | 0.8366 | 0.9147 |
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+ | No log | 21.0 | 126 | 0.8295 | -0.0391 | 0.8295 | 0.9108 |
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+ | No log | 21.3333 | 128 | 0.8510 | -0.0357 | 0.8510 | 0.9225 |
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+ | No log | 21.6667 | 130 | 0.8825 | 0.0867 | 0.8825 | 0.9394 |
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+ | No log | 22.0 | 132 | 1.0851 | 0.1273 | 1.0851 | 1.0417 |
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+ | No log | 22.3333 | 134 | 0.9288 | -0.0033 | 0.9288 | 0.9637 |
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+ | No log | 22.6667 | 136 | 0.8554 | -0.0326 | 0.8554 | 0.9249 |
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+ | No log | 23.0 | 138 | 0.9672 | 0.0192 | 0.9672 | 0.9835 |
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+ | No log | 23.3333 | 140 | 0.9087 | 0.0494 | 0.9087 | 0.9533 |
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+ | No log | 23.6667 | 142 | 1.1079 | 0.0225 | 1.1079 | 1.0526 |
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+ | No log | 24.0 | 144 | 1.1600 | -0.0159 | 1.1600 | 1.0771 |
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+ | No log | 24.3333 | 146 | 0.9404 | -0.0171 | 0.9404 | 0.9697 |
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+ | No log | 24.6667 | 148 | 0.9017 | 0.0192 | 0.9017 | 0.9496 |
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+ | No log | 25.0 | 150 | 0.8737 | 0.0947 | 0.8737 | 0.9347 |
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+ | No log | 25.3333 | 152 | 0.9176 | -0.1197 | 0.9176 | 0.9579 |
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+ | No log | 25.6667 | 154 | 1.0011 | -0.0787 | 1.0011 | 1.0005 |
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+ | No log | 26.0 | 156 | 0.8483 | -0.0672 | 0.8483 | 0.9211 |
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+ | No log | 26.3333 | 158 | 0.8257 | 0.0834 | 0.8257 | 0.9087 |
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+ | No log | 26.6667 | 160 | 0.9019 | -0.1144 | 0.9019 | 0.9497 |
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+ | No log | 27.0 | 162 | 0.9239 | -0.1093 | 0.9239 | 0.9612 |
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+ | No log | 27.3333 | 164 | 0.8900 | 0.0725 | 0.8900 | 0.9434 |
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+ | No log | 27.6667 | 166 | 0.8842 | 0.0851 | 0.8842 | 0.9403 |
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+ | No log | 28.0 | 168 | 0.8958 | -0.0643 | 0.8958 | 0.9465 |
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+ | No log | 28.3333 | 170 | 0.8807 | -0.0260 | 0.8807 | 0.9385 |
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+ | No log | 28.6667 | 172 | 0.8457 | 0.0049 | 0.8457 | 0.9196 |
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+ | No log | 29.0 | 174 | 0.9149 | 0.0637 | 0.9149 | 0.9565 |
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+ | No log | 29.3333 | 176 | 0.9312 | -0.0111 | 0.9312 | 0.9650 |
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+ | No log | 29.6667 | 178 | 0.8376 | -0.0026 | 0.8376 | 0.9152 |
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+ | No log | 30.0 | 180 | 0.9720 | -0.0054 | 0.9720 | 0.9859 |
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+ | No log | 30.3333 | 182 | 1.1032 | 0.0753 | 1.1032 | 1.0503 |
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+ | No log | 30.6667 | 184 | 0.9559 | 0.0038 | 0.9559 | 0.9777 |
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+ | No log | 31.0 | 186 | 0.8902 | 0.0049 | 0.8902 | 0.9435 |
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+ | No log | 31.3333 | 188 | 0.8956 | -0.0238 | 0.8956 | 0.9464 |
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+ | No log | 31.6667 | 190 | 0.8262 | -0.0821 | 0.8262 | 0.9090 |
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+ | No log | 32.0 | 192 | 0.8161 | 0.0236 | 0.8161 | 0.9034 |
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+ | No log | 32.3333 | 194 | 0.8617 | 0.0442 | 0.8617 | 0.9283 |
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+ | No log | 32.6667 | 196 | 0.8062 | 0.1199 | 0.8062 | 0.8979 |
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+ | No log | 33.0 | 198 | 0.8105 | -0.0821 | 0.8105 | 0.9003 |
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+ | No log | 33.3333 | 200 | 0.8802 | 0.0200 | 0.8802 | 0.9382 |
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+ | No log | 33.6667 | 202 | 0.8624 | 0.0119 | 0.8624 | 0.9286 |
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+ | No log | 34.0 | 204 | 0.8567 | 0.0376 | 0.8567 | 0.9256 |
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+ | No log | 34.3333 | 206 | 0.8484 | 0.0277 | 0.8484 | 0.9211 |
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+ | No log | 34.6667 | 208 | 0.8571 | 0.0660 | 0.8571 | 0.9258 |
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+ | No log | 35.0 | 210 | 0.8159 | -0.0108 | 0.8159 | 0.9033 |
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+ | No log | 35.3333 | 212 | 0.8200 | -0.0407 | 0.8200 | 0.9056 |
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+ | No log | 35.6667 | 214 | 0.7955 | -0.0056 | 0.7955 | 0.8919 |
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+ | No log | 36.0 | 216 | 0.8426 | 0.0831 | 0.8426 | 0.9179 |
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+ | No log | 36.3333 | 218 | 1.0023 | 0.0233 | 1.0023 | 1.0012 |
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+ | No log | 36.6667 | 220 | 1.0014 | 0.0260 | 1.0014 | 1.0007 |
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+ | No log | 37.0 | 222 | 0.8872 | 0.0470 | 0.8872 | 0.9419 |
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+ | No log | 37.3333 | 224 | 0.9185 | 0.0172 | 0.9185 | 0.9584 |
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+ | No log | 37.6667 | 226 | 1.0297 | -0.0762 | 1.0297 | 1.0148 |
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+ | No log | 38.0 | 228 | 0.9523 | 0.0220 | 0.9523 | 0.9759 |
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+ | No log | 38.3333 | 230 | 0.8529 | 0.0359 | 0.8529 | 0.9235 |
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+ | No log | 38.6667 | 232 | 0.9474 | 0.0762 | 0.9474 | 0.9733 |
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+ | No log | 39.0 | 234 | 1.0047 | 0.0585 | 1.0047 | 1.0023 |
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+ | No log | 39.3333 | 236 | 0.8922 | 0.0016 | 0.8922 | 0.9446 |
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+ | No log | 39.6667 | 238 | 0.8036 | -0.0113 | 0.8036 | 0.8964 |
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+ | No log | 40.0 | 240 | 0.7915 | 0.0930 | 0.7915 | 0.8896 |
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+ | No log | 40.3333 | 242 | 0.8358 | 0.0606 | 0.8358 | 0.9142 |
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+ | No log | 40.6667 | 244 | 0.8391 | 0.0595 | 0.8391 | 0.9160 |
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+ | No log | 41.0 | 246 | 0.7985 | 0.0449 | 0.7985 | 0.8936 |
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+ | No log | 41.3333 | 248 | 0.8385 | 0.0700 | 0.8385 | 0.9157 |
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+ | No log | 41.6667 | 250 | 0.8742 | 0.0140 | 0.8742 | 0.9350 |
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+ | No log | 42.0 | 252 | 0.8733 | 0.0216 | 0.8733 | 0.9345 |
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+ | No log | 42.3333 | 254 | 0.8732 | 0.1327 | 0.8732 | 0.9345 |
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+ | No log | 42.6667 | 256 | 0.8734 | 0.1327 | 0.8734 | 0.9346 |
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+ | No log | 43.0 | 258 | 0.8562 | 0.1340 | 0.8562 | 0.9253 |
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+ | No log | 43.3333 | 260 | 0.8477 | 0.0879 | 0.8477 | 0.9207 |
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+ | No log | 43.6667 | 262 | 0.8516 | 0.0709 | 0.8516 | 0.9228 |
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+ | No log | 44.0 | 264 | 0.8307 | 0.0308 | 0.8307 | 0.9114 |
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+ | No log | 44.3333 | 266 | 0.8278 | -0.0186 | 0.8278 | 0.9098 |
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+ | No log | 44.6667 | 268 | 0.7985 | 0.0449 | 0.7985 | 0.8936 |
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+ | No log | 45.0 | 270 | 0.7965 | 0.0449 | 0.7965 | 0.8925 |
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+ | No log | 45.3333 | 272 | 0.8223 | 0.0341 | 0.8223 | 0.9068 |
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+ | No log | 45.6667 | 274 | 0.8558 | 0.0709 | 0.8558 | 0.9251 |
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+ | No log | 46.0 | 276 | 0.8764 | 0.0889 | 0.8764 | 0.9362 |
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+ | No log | 46.3333 | 278 | 0.8812 | 0.0949 | 0.8812 | 0.9387 |
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+ | No log | 46.6667 | 280 | 0.8776 | 0.0559 | 0.8776 | 0.9368 |
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+ | No log | 47.0 | 282 | 0.8562 | 0.0949 | 0.8562 | 0.9253 |
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+ | No log | 47.3333 | 284 | 0.8402 | 0.0944 | 0.8402 | 0.9166 |
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+ | No log | 47.6667 | 286 | 0.8205 | 0.0840 | 0.8205 | 0.9058 |
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+ | No log | 48.0 | 288 | 0.8217 | 0.0749 | 0.8217 | 0.9065 |
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+ | No log | 48.3333 | 290 | 0.8259 | 0.0840 | 0.8259 | 0.9088 |
197
+ | No log | 48.6667 | 292 | 0.8321 | 0.0884 | 0.8321 | 0.9122 |
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+ | No log | 49.0 | 294 | 0.8541 | 0.1094 | 0.8541 | 0.9242 |
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+ | No log | 49.3333 | 296 | 0.9177 | -0.0291 | 0.9177 | 0.9580 |
200
+ | No log | 49.6667 | 298 | 0.9040 | -0.0291 | 0.9040 | 0.9508 |
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+ | No log | 50.0 | 300 | 0.8587 | 0.0840 | 0.8587 | 0.9267 |
202
+ | No log | 50.3333 | 302 | 0.8834 | 0.0559 | 0.8834 | 0.9399 |
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+ | No log | 50.6667 | 304 | 0.8662 | 0.0902 | 0.8662 | 0.9307 |
204
+ | No log | 51.0 | 306 | 0.8545 | 0.0376 | 0.8545 | 0.9244 |
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+ | No log | 51.3333 | 308 | 0.8475 | 0.0791 | 0.8475 | 0.9206 |
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+ | No log | 51.6667 | 310 | 0.8497 | 0.0622 | 0.8497 | 0.9218 |
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+ | No log | 52.0 | 312 | 0.8447 | 0.0068 | 0.8447 | 0.9191 |
208
+ | No log | 52.3333 | 314 | 0.8100 | 0.1254 | 0.8100 | 0.9000 |
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+ | No log | 52.6667 | 316 | 0.7713 | 0.0394 | 0.7713 | 0.8783 |
210
+ | No log | 53.0 | 318 | 0.8009 | 0.0583 | 0.8009 | 0.8949 |
211
+ | No log | 53.3333 | 320 | 0.8169 | 0.0545 | 0.8169 | 0.9039 |
212
+ | No log | 53.6667 | 322 | 0.7913 | 0.0449 | 0.7913 | 0.8896 |
213
+ | No log | 54.0 | 324 | 0.8021 | 0.0776 | 0.8021 | 0.8956 |
214
+ | No log | 54.3333 | 326 | 0.8213 | 0.1096 | 0.8213 | 0.9062 |
215
+ | No log | 54.6667 | 328 | 0.8012 | 0.0776 | 0.8012 | 0.8951 |
216
+ | No log | 55.0 | 330 | 0.7843 | 0.0394 | 0.7843 | 0.8856 |
217
+ | No log | 55.3333 | 332 | 0.8227 | 0.1032 | 0.8227 | 0.9070 |
218
+ | No log | 55.6667 | 334 | 0.8297 | 0.1032 | 0.8297 | 0.9109 |
219
+ | No log | 56.0 | 336 | 0.8016 | 0.0930 | 0.8016 | 0.8953 |
220
+ | No log | 56.3333 | 338 | 0.7922 | 0.0732 | 0.7922 | 0.8901 |
221
+ | No log | 56.6667 | 340 | 0.8520 | 0.0999 | 0.8520 | 0.9230 |
222
+ | No log | 57.0 | 342 | 0.9098 | -0.0425 | 0.9098 | 0.9538 |
223
+ | No log | 57.3333 | 344 | 0.9137 | -0.0425 | 0.9137 | 0.9559 |
224
+ | No log | 57.6667 | 346 | 0.8363 | 0.1047 | 0.8363 | 0.9145 |
225
+ | No log | 58.0 | 348 | 0.7976 | 0.0394 | 0.7976 | 0.8931 |
226
+ | No log | 58.3333 | 350 | 0.8073 | 0.0940 | 0.8073 | 0.8985 |
227
+ | No log | 58.6667 | 352 | 0.8085 | 0.1379 | 0.8085 | 0.8992 |
228
+ | No log | 59.0 | 354 | 0.7932 | 0.0432 | 0.7932 | 0.8906 |
229
+ | No log | 59.3333 | 356 | 0.7877 | 0.0432 | 0.7877 | 0.8875 |
230
+ | No log | 59.6667 | 358 | 0.7904 | 0.0432 | 0.7904 | 0.8890 |
231
+ | No log | 60.0 | 360 | 0.7952 | -0.0170 | 0.7952 | 0.8917 |
232
+ | No log | 60.3333 | 362 | 0.7804 | 0.0869 | 0.7804 | 0.8834 |
233
+ | No log | 60.6667 | 364 | 0.7551 | 0.0414 | 0.7551 | 0.8690 |
234
+ | No log | 61.0 | 366 | 0.7495 | 0.0432 | 0.7495 | 0.8657 |
235
+ | No log | 61.3333 | 368 | 0.7590 | 0.0543 | 0.7590 | 0.8712 |
236
+ | No log | 61.6667 | 370 | 0.7608 | 0.1028 | 0.7608 | 0.8722 |
237
+ | No log | 62.0 | 372 | 0.7552 | 0.0432 | 0.7552 | 0.8690 |
238
+ | No log | 62.3333 | 374 | 0.7684 | 0.0432 | 0.7684 | 0.8766 |
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+ | No log | 62.6667 | 376 | 0.7845 | 0.0874 | 0.7845 | 0.8857 |
240
+ | No log | 63.0 | 378 | 0.8086 | 0.2222 | 0.8086 | 0.8992 |
241
+ | No log | 63.3333 | 380 | 0.8226 | 0.2589 | 0.8226 | 0.9070 |
242
+ | No log | 63.6667 | 382 | 0.8286 | 0.1689 | 0.8286 | 0.9103 |
243
+ | No log | 64.0 | 384 | 0.8635 | -0.0260 | 0.8635 | 0.9292 |
244
+ | No log | 64.3333 | 386 | 0.8753 | -0.0679 | 0.8753 | 0.9356 |
245
+ | No log | 64.6667 | 388 | 0.8557 | 0.0161 | 0.8557 | 0.9251 |
246
+ | No log | 65.0 | 390 | 0.8268 | 0.1630 | 0.8268 | 0.9093 |
247
+ | No log | 65.3333 | 392 | 0.8117 | 0.2153 | 0.8117 | 0.9009 |
248
+ | No log | 65.6667 | 394 | 0.8089 | 0.2194 | 0.8089 | 0.8994 |
249
+ | No log | 66.0 | 396 | 0.7973 | 0.1796 | 0.7973 | 0.8929 |
250
+ | No log | 66.3333 | 398 | 0.7919 | 0.1244 | 0.7919 | 0.8899 |
251
+ | No log | 66.6667 | 400 | 0.8197 | 0.1144 | 0.8197 | 0.9053 |
252
+ | No log | 67.0 | 402 | 0.8457 | 0.0512 | 0.8457 | 0.9196 |
253
+ | No log | 67.3333 | 404 | 0.8401 | 0.0512 | 0.8401 | 0.9165 |
254
+ | No log | 67.6667 | 406 | 0.7983 | 0.2180 | 0.7983 | 0.8935 |
255
+ | No log | 68.0 | 408 | 0.7656 | 0.0821 | 0.7656 | 0.8750 |
256
+ | No log | 68.3333 | 410 | 0.7635 | 0.0828 | 0.7635 | 0.8738 |
257
+ | No log | 68.6667 | 412 | 0.7756 | 0.1249 | 0.7756 | 0.8807 |
258
+ | No log | 69.0 | 414 | 0.7901 | 0.1192 | 0.7901 | 0.8889 |
259
+ | No log | 69.3333 | 416 | 0.7997 | 0.1192 | 0.7997 | 0.8942 |
260
+ | No log | 69.6667 | 418 | 0.8014 | 0.1192 | 0.8014 | 0.8952 |
261
+ | No log | 70.0 | 420 | 0.8106 | 0.1096 | 0.8106 | 0.9004 |
262
+ | No log | 70.3333 | 422 | 0.8395 | 0.0041 | 0.8395 | 0.9162 |
263
+ | No log | 70.6667 | 424 | 0.8437 | 0.0016 | 0.8437 | 0.9185 |
264
+ | No log | 71.0 | 426 | 0.8133 | 0.1047 | 0.8133 | 0.9018 |
265
+ | No log | 71.3333 | 428 | 0.7787 | 0.1675 | 0.7787 | 0.8825 |
266
+ | No log | 71.6667 | 430 | 0.7638 | 0.1740 | 0.7638 | 0.8740 |
267
+ | No log | 72.0 | 432 | 0.7548 | 0.0394 | 0.7548 | 0.8688 |
268
+ | No log | 72.3333 | 434 | 0.7535 | 0.0375 | 0.7535 | 0.8681 |
269
+ | No log | 72.6667 | 436 | 0.7629 | 0.1249 | 0.7629 | 0.8734 |
270
+ | No log | 73.0 | 438 | 0.7891 | 0.1627 | 0.7891 | 0.8883 |
271
+ | No log | 73.3333 | 440 | 0.8110 | 0.1097 | 0.8110 | 0.9006 |
272
+ | No log | 73.6667 | 442 | 0.8149 | 0.1097 | 0.8149 | 0.9027 |
273
+ | No log | 74.0 | 444 | 0.7956 | 0.0690 | 0.7956 | 0.8920 |
274
+ | No log | 74.3333 | 446 | 0.7878 | 0.1244 | 0.7878 | 0.8876 |
275
+ | No log | 74.6667 | 448 | 0.7940 | 0.0690 | 0.7940 | 0.8911 |
276
+ | No log | 75.0 | 450 | 0.8209 | 0.0123 | 0.8209 | 0.9060 |
277
+ | No log | 75.3333 | 452 | 0.8424 | 0.0043 | 0.8424 | 0.9178 |
278
+ | No log | 75.6667 | 454 | 0.8316 | 0.0512 | 0.8316 | 0.9119 |
279
+ | No log | 76.0 | 456 | 0.8145 | 0.0123 | 0.8145 | 0.9025 |
280
+ | No log | 76.3333 | 458 | 0.8121 | 0.0175 | 0.8121 | 0.9011 |
281
+ | No log | 76.6667 | 460 | 0.8129 | 0.0146 | 0.8129 | 0.9016 |
282
+ | No log | 77.0 | 462 | 0.8091 | 0.0205 | 0.8091 | 0.8995 |
283
+ | No log | 77.3333 | 464 | 0.8122 | 0.0205 | 0.8122 | 0.9012 |
284
+ | No log | 77.6667 | 466 | 0.8338 | 0.0146 | 0.8338 | 0.9131 |
285
+ | No log | 78.0 | 468 | 0.8408 | 0.0146 | 0.8408 | 0.9170 |
286
+ | No log | 78.3333 | 470 | 0.8372 | 0.0146 | 0.8372 | 0.9150 |
287
+ | No log | 78.6667 | 472 | 0.8344 | 0.0562 | 0.8344 | 0.9135 |
288
+ | No log | 79.0 | 474 | 0.8095 | 0.0205 | 0.8095 | 0.8997 |
289
+ | No log | 79.3333 | 476 | 0.7876 | 0.0690 | 0.7876 | 0.8875 |
290
+ | No log | 79.6667 | 478 | 0.7699 | 0.1249 | 0.7699 | 0.8774 |
291
+ | No log | 80.0 | 480 | 0.7639 | 0.1249 | 0.7639 | 0.8740 |
292
+ | No log | 80.3333 | 482 | 0.7621 | 0.0874 | 0.7621 | 0.8730 |
293
+ | No log | 80.6667 | 484 | 0.7589 | 0.0874 | 0.7589 | 0.8711 |
294
+ | No log | 81.0 | 486 | 0.7557 | 0.0869 | 0.7557 | 0.8693 |
295
+ | No log | 81.3333 | 488 | 0.7520 | 0.0821 | 0.7520 | 0.8672 |
296
+ | No log | 81.6667 | 490 | 0.7495 | 0.1249 | 0.7495 | 0.8657 |
297
+ | No log | 82.0 | 492 | 0.7469 | 0.1249 | 0.7469 | 0.8642 |
298
+ | No log | 82.3333 | 494 | 0.7467 | 0.1249 | 0.7467 | 0.8641 |
299
+ | No log | 82.6667 | 496 | 0.7499 | 0.1249 | 0.7499 | 0.8659 |
300
+ | No log | 83.0 | 498 | 0.7582 | 0.1249 | 0.7582 | 0.8708 |
301
+ | 0.192 | 83.3333 | 500 | 0.7632 | 0.1249 | 0.7632 | 0.8736 |
302
+ | 0.192 | 83.6667 | 502 | 0.7692 | 0.1249 | 0.7692 | 0.8771 |
303
+ | 0.192 | 84.0 | 504 | 0.7688 | 0.1249 | 0.7688 | 0.8768 |
304
+ | 0.192 | 84.3333 | 506 | 0.7721 | 0.1249 | 0.7721 | 0.8787 |
305
+ | 0.192 | 84.6667 | 508 | 0.7822 | 0.0732 | 0.7822 | 0.8844 |
306
+ | 0.192 | 85.0 | 510 | 0.7947 | 0.0732 | 0.7947 | 0.8915 |
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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