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ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task7_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_k17_task7_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_k17_task7_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: 0.8369
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+ - Qwk: 0.2749
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+ - Mse: 0.8369
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+ - Rmse: 0.9148
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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 | 0.0233 | 2 | 2.5849 | -0.0262 | 2.5849 | 1.6078 |
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+ | No log | 0.0465 | 4 | 1.2737 | 0.1265 | 1.2737 | 1.1286 |
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+ | No log | 0.0698 | 6 | 1.1082 | -0.1304 | 1.1082 | 1.0527 |
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+ | No log | 0.0930 | 8 | 0.9844 | 0.0445 | 0.9844 | 0.9922 |
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+ | No log | 0.1163 | 10 | 0.9318 | 0.1672 | 0.9318 | 0.9653 |
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+ | No log | 0.1395 | 12 | 1.1108 | -0.0062 | 1.1108 | 1.0540 |
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+ | No log | 0.1628 | 14 | 1.2261 | -0.1588 | 1.2261 | 1.1073 |
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+ | No log | 0.1860 | 16 | 1.0888 | -0.0133 | 1.0888 | 1.0434 |
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+ | No log | 0.2093 | 18 | 0.9657 | 0.1093 | 0.9657 | 0.9827 |
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+ | No log | 0.2326 | 20 | 1.0760 | -0.1584 | 1.0760 | 1.0373 |
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+ | No log | 0.2558 | 22 | 1.1332 | -0.1464 | 1.1332 | 1.0645 |
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+ | No log | 0.2791 | 24 | 1.1360 | -0.0846 | 1.1360 | 1.0658 |
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+ | No log | 0.3023 | 26 | 0.9905 | -0.0785 | 0.9905 | 0.9953 |
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+ | No log | 0.3256 | 28 | 0.8798 | 0.1561 | 0.8798 | 0.9380 |
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+ | No log | 0.3488 | 30 | 0.8510 | 0.1807 | 0.8510 | 0.9225 |
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+ | No log | 0.3721 | 32 | 0.8428 | 0.1359 | 0.8428 | 0.9181 |
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+ | No log | 0.3953 | 34 | 0.8512 | 0.1094 | 0.8512 | 0.9226 |
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+ | No log | 0.4186 | 36 | 0.9268 | 0.0159 | 0.9268 | 0.9627 |
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+ | No log | 0.4419 | 38 | 1.1494 | 0.0006 | 1.1494 | 1.0721 |
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+ | No log | 0.4651 | 40 | 1.1036 | 0.0342 | 1.1036 | 1.0505 |
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+ | No log | 0.4884 | 42 | 1.0360 | 0.0615 | 1.0360 | 1.0178 |
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+ | No log | 0.5116 | 44 | 1.0818 | 0.0412 | 1.0818 | 1.0401 |
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+ | No log | 0.5349 | 46 | 1.1810 | -0.0036 | 1.1810 | 1.0867 |
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+ | No log | 0.5581 | 48 | 1.3610 | 0.0038 | 1.3610 | 1.1666 |
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+ | No log | 0.5814 | 50 | 1.3945 | 0.1004 | 1.3945 | 1.1809 |
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+ | No log | 0.6047 | 52 | 1.2086 | -0.0020 | 1.2086 | 1.0994 |
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+ | No log | 0.6279 | 54 | 0.9596 | 0.0968 | 0.9596 | 0.9796 |
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+ | No log | 0.6512 | 56 | 0.8577 | 0.1455 | 0.8577 | 0.9261 |
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+ | No log | 0.6744 | 58 | 0.8699 | 0.2038 | 0.8699 | 0.9327 |
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+ | No log | 0.6977 | 60 | 0.9160 | 0.1672 | 0.9160 | 0.9571 |
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+ | No log | 0.7209 | 62 | 0.9952 | 0.1121 | 0.9952 | 0.9976 |
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+ | No log | 0.7442 | 64 | 1.0806 | 0.0929 | 1.0806 | 1.0395 |
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+ | No log | 0.7674 | 66 | 1.0714 | 0.0648 | 1.0714 | 1.0351 |
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+ | No log | 0.7907 | 68 | 0.9577 | 0.1741 | 0.9577 | 0.9786 |
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+ | No log | 0.8140 | 70 | 0.9205 | 0.2019 | 0.9205 | 0.9594 |
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+ | No log | 0.8372 | 72 | 0.9024 | 0.1684 | 0.9024 | 0.9500 |
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+ | No log | 0.8605 | 74 | 0.8825 | 0.1684 | 0.8825 | 0.9394 |
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+ | No log | 0.8837 | 76 | 0.9361 | 0.1168 | 0.9361 | 0.9675 |
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+ | No log | 0.9070 | 78 | 1.1115 | 0.0922 | 1.1115 | 1.0543 |
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+ | No log | 0.9302 | 80 | 1.1699 | 0.0401 | 1.1699 | 1.0816 |
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+ | No log | 0.9535 | 82 | 1.0914 | 0.1223 | 1.0914 | 1.0447 |
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+ | No log | 0.9767 | 84 | 0.9671 | 0.1090 | 0.9671 | 0.9834 |
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+ | No log | 1.0 | 86 | 0.9124 | 0.1661 | 0.9124 | 0.9552 |
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+ | No log | 1.0233 | 88 | 0.9186 | 0.1303 | 0.9186 | 0.9584 |
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+ | No log | 1.0465 | 90 | 0.9323 | 0.0971 | 0.9323 | 0.9656 |
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+ | No log | 1.0698 | 92 | 0.9338 | 0.0971 | 0.9338 | 0.9663 |
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+ | No log | 1.0930 | 94 | 0.9365 | 0.0933 | 0.9365 | 0.9678 |
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+ | No log | 1.1163 | 96 | 0.9465 | 0.1181 | 0.9465 | 0.9729 |
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+ | No log | 1.1395 | 98 | 0.9114 | 0.1303 | 0.9114 | 0.9547 |
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+ | No log | 1.1628 | 100 | 0.8975 | 0.1303 | 0.8975 | 0.9474 |
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+ | No log | 1.1860 | 102 | 0.8699 | 0.0637 | 0.8699 | 0.9327 |
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+ | No log | 1.2093 | 104 | 0.8689 | 0.0227 | 0.8689 | 0.9321 |
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+ | No log | 1.2326 | 106 | 0.8673 | 0.0227 | 0.8673 | 0.9313 |
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+ | No log | 1.2558 | 108 | 0.9007 | 0.1838 | 0.9007 | 0.9490 |
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+ | No log | 1.2791 | 110 | 0.9923 | 0.1828 | 0.9923 | 0.9962 |
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+ | No log | 1.3023 | 112 | 1.0055 | 0.2030 | 1.0055 | 1.0028 |
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+ | No log | 1.3256 | 114 | 0.9843 | 0.2593 | 0.9843 | 0.9921 |
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+ | No log | 1.3488 | 116 | 0.9957 | 0.2593 | 0.9957 | 0.9978 |
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+ | No log | 1.3721 | 118 | 1.0653 | 0.1327 | 1.0653 | 1.0321 |
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+ | No log | 1.3953 | 120 | 1.1299 | 0.1057 | 1.1299 | 1.0630 |
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+ | No log | 1.4186 | 122 | 1.1015 | 0.1389 | 1.1015 | 1.0495 |
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+ | No log | 1.4419 | 124 | 1.0894 | 0.1485 | 1.0894 | 1.0437 |
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+ | No log | 1.4651 | 126 | 0.9411 | 0.1468 | 0.9411 | 0.9701 |
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+ | No log | 1.4884 | 128 | 0.8605 | 0.1733 | 0.8605 | 0.9276 |
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+ | No log | 1.5116 | 130 | 0.8488 | 0.1720 | 0.8488 | 0.9213 |
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+ | No log | 1.5349 | 132 | 0.8518 | 0.2126 | 0.8518 | 0.9229 |
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+ | No log | 1.5581 | 134 | 0.8820 | 0.1565 | 0.8820 | 0.9392 |
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+ | No log | 1.5814 | 136 | 0.9240 | 0.1705 | 0.9240 | 0.9612 |
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+ | No log | 1.6047 | 138 | 0.9892 | 0.1358 | 0.9892 | 0.9946 |
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+ | No log | 1.6279 | 140 | 1.0756 | 0.1671 | 1.0756 | 1.0371 |
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+ | No log | 1.6512 | 142 | 1.1011 | 0.1143 | 1.1011 | 1.0494 |
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+ | No log | 1.6744 | 144 | 1.0328 | 0.1155 | 1.0328 | 1.0163 |
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+ | No log | 1.6977 | 146 | 0.9541 | 0.0779 | 0.9541 | 0.9768 |
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+ | No log | 1.7209 | 148 | 0.9420 | 0.0807 | 0.9420 | 0.9705 |
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+ | No log | 1.7442 | 150 | 0.9407 | 0.0941 | 0.9407 | 0.9699 |
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+ | No log | 1.7674 | 152 | 1.0055 | 0.1347 | 1.0055 | 1.0028 |
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+ | No log | 1.7907 | 154 | 1.0465 | 0.1347 | 1.0465 | 1.0230 |
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+ | No log | 1.8140 | 156 | 1.0577 | 0.2557 | 1.0577 | 1.0285 |
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+ | No log | 1.8372 | 158 | 1.1106 | 0.1270 | 1.1106 | 1.0539 |
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+ | No log | 1.8605 | 160 | 1.2431 | 0.0560 | 1.2431 | 1.1149 |
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+ | No log | 1.8837 | 162 | 1.1383 | 0.1089 | 1.1383 | 1.0669 |
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+ | No log | 1.9070 | 164 | 1.1075 | 0.1089 | 1.1075 | 1.0524 |
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+ | No log | 1.9302 | 166 | 1.0987 | 0.0444 | 1.0987 | 1.0482 |
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+ | No log | 1.9535 | 168 | 0.9709 | 0.1289 | 0.9709 | 0.9853 |
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+ | No log | 1.9767 | 170 | 0.9281 | 0.2224 | 0.9281 | 0.9634 |
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+ | No log | 2.0 | 172 | 0.9093 | 0.2224 | 0.9093 | 0.9536 |
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+ | No log | 2.0233 | 174 | 0.9438 | 0.1627 | 0.9438 | 0.9715 |
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+ | No log | 2.0465 | 176 | 1.0292 | 0.2252 | 1.0292 | 1.0145 |
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+ | No log | 2.0698 | 178 | 1.0300 | 0.2540 | 1.0300 | 1.0149 |
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+ | No log | 2.0930 | 180 | 1.0299 | 0.1945 | 1.0299 | 1.0148 |
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+ | No log | 2.1163 | 182 | 1.0726 | 0.1975 | 1.0726 | 1.0356 |
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+ | No log | 2.1395 | 184 | 1.0465 | 0.1483 | 1.0465 | 1.0230 |
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+ | No log | 2.1628 | 186 | 1.0690 | 0.1385 | 1.0690 | 1.0339 |
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+ | No log | 2.1860 | 188 | 1.0138 | 0.1053 | 1.0138 | 1.0069 |
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+ | No log | 2.2093 | 190 | 0.9318 | 0.0938 | 0.9318 | 0.9653 |
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+ | No log | 2.2326 | 192 | 0.9356 | 0.2173 | 0.9356 | 0.9673 |
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+ | No log | 2.2558 | 194 | 0.9843 | 0.2287 | 0.9843 | 0.9921 |
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+ | No log | 2.2791 | 196 | 0.9437 | 0.0835 | 0.9437 | 0.9715 |
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+ | No log | 2.3023 | 198 | 0.9788 | 0.0741 | 0.9788 | 0.9894 |
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+ | No log | 2.3256 | 200 | 0.9791 | 0.0364 | 0.9791 | 0.9895 |
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+ | No log | 2.3488 | 202 | 0.9534 | 0.1285 | 0.9534 | 0.9764 |
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+ | No log | 2.3721 | 204 | 0.9339 | 0.1246 | 0.9339 | 0.9664 |
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+ | No log | 2.3953 | 206 | 0.9498 | 0.1090 | 0.9498 | 0.9746 |
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+ | No log | 2.4186 | 208 | 1.0743 | 0.1722 | 1.0743 | 1.0365 |
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+ | No log | 2.4419 | 210 | 1.0207 | 0.1390 | 1.0207 | 1.0103 |
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+ | No log | 2.4651 | 212 | 1.0090 | 0.1692 | 1.0090 | 1.0045 |
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+ | No log | 2.4884 | 214 | 0.9200 | 0.1419 | 0.9200 | 0.9592 |
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+ | No log | 2.5116 | 216 | 0.8852 | 0.1014 | 0.8852 | 0.9409 |
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+ | No log | 2.5349 | 218 | 0.9182 | 0.0253 | 0.9182 | 0.9582 |
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+ | No log | 2.5581 | 220 | 0.9463 | -0.0409 | 0.9463 | 0.9728 |
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+ | No log | 2.5814 | 222 | 0.9963 | -0.0409 | 0.9963 | 0.9982 |
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+ | No log | 2.6047 | 224 | 1.0165 | -0.0082 | 1.0165 | 1.0082 |
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+ | No log | 2.6279 | 226 | 1.0579 | 0.0689 | 1.0579 | 1.0286 |
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+ | No log | 2.6512 | 228 | 1.0438 | 0.1001 | 1.0438 | 1.0217 |
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+ | No log | 2.6744 | 230 | 1.0695 | 0.0692 | 1.0695 | 1.0341 |
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+ | No log | 2.6977 | 232 | 1.2242 | 0.1056 | 1.2242 | 1.1064 |
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+ | No log | 2.7209 | 234 | 1.2379 | 0.1056 | 1.2379 | 1.1126 |
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+ | No log | 2.7442 | 236 | 1.0964 | 0.0889 | 1.0964 | 1.0471 |
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+ | No log | 2.7674 | 238 | 1.0759 | 0.1264 | 1.0759 | 1.0373 |
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+ | No log | 2.7907 | 240 | 1.0357 | 0.0206 | 1.0357 | 1.0177 |
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+ | No log | 2.8140 | 242 | 1.0009 | -0.0424 | 1.0009 | 1.0004 |
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+ | No log | 2.8372 | 244 | 0.9715 | 0.0378 | 0.9715 | 0.9856 |
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+ | No log | 2.8605 | 246 | 0.9601 | 0.1136 | 0.9601 | 0.9799 |
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+ | No log | 2.8837 | 248 | 0.9996 | 0.1503 | 0.9996 | 0.9998 |
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+ | No log | 2.9070 | 250 | 0.9494 | 0.1391 | 0.9494 | 0.9744 |
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+ | No log | 2.9302 | 252 | 0.9647 | 0.0404 | 0.9647 | 0.9822 |
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+ | No log | 2.9535 | 254 | 1.0292 | 0.1546 | 1.0292 | 1.0145 |
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+ | No log | 2.9767 | 256 | 1.0583 | 0.1198 | 1.0583 | 1.0287 |
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+ | No log | 3.0 | 258 | 1.1077 | 0.1512 | 1.1077 | 1.0525 |
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+ | No log | 3.0233 | 260 | 1.0573 | 0.0818 | 1.0573 | 1.0282 |
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+ | No log | 3.0465 | 262 | 1.0089 | 0.1099 | 1.0089 | 1.0044 |
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+ | No log | 3.0698 | 264 | 1.0712 | 0.0883 | 1.0712 | 1.0350 |
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+ | No log | 3.0930 | 266 | 1.0724 | 0.0656 | 1.0724 | 1.0356 |
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+ | No log | 3.1163 | 268 | 1.0594 | 0.0886 | 1.0594 | 1.0292 |
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+ | No log | 3.1395 | 270 | 0.9982 | 0.1672 | 0.9982 | 0.9991 |
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+ | No log | 3.1628 | 272 | 0.9653 | 0.1490 | 0.9653 | 0.9825 |
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+ | No log | 3.1860 | 274 | 0.9503 | 0.1205 | 0.9503 | 0.9748 |
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+ | No log | 3.2093 | 276 | 0.9379 | 0.1173 | 0.9379 | 0.9685 |
190
+ | No log | 3.2326 | 278 | 0.9484 | 0.2241 | 0.9484 | 0.9739 |
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+ | No log | 3.2558 | 280 | 0.9016 | 0.0872 | 0.9016 | 0.9495 |
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+ | No log | 3.2791 | 282 | 0.8680 | 0.0978 | 0.8680 | 0.9317 |
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+ | No log | 3.3023 | 284 | 0.8651 | -0.0425 | 0.8651 | 0.9301 |
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+ | No log | 3.3256 | 286 | 0.8794 | 0.1616 | 0.8794 | 0.9378 |
195
+ | No log | 3.3488 | 288 | 0.9129 | 0.2291 | 0.9129 | 0.9555 |
196
+ | No log | 3.3721 | 290 | 0.9729 | 0.2592 | 0.9729 | 0.9864 |
197
+ | No log | 3.3953 | 292 | 0.9789 | 0.2887 | 0.9789 | 0.9894 |
198
+ | No log | 3.4186 | 294 | 0.9256 | 0.3121 | 0.9256 | 0.9621 |
199
+ | No log | 3.4419 | 296 | 0.8407 | 0.1603 | 0.8407 | 0.9169 |
200
+ | No log | 3.4651 | 298 | 0.9053 | 0.1769 | 0.9053 | 0.9514 |
201
+ | No log | 3.4884 | 300 | 0.9514 | 0.2324 | 0.9514 | 0.9754 |
202
+ | No log | 3.5116 | 302 | 0.9008 | 0.2819 | 0.9008 | 0.9491 |
203
+ | No log | 3.5349 | 304 | 0.8649 | 0.2884 | 0.8649 | 0.9300 |
204
+ | No log | 3.5581 | 306 | 0.8607 | 0.2595 | 0.8607 | 0.9277 |
205
+ | No log | 3.5814 | 308 | 0.8503 | 0.2830 | 0.8503 | 0.9221 |
206
+ | No log | 3.6047 | 310 | 0.8369 | 0.3472 | 0.8369 | 0.9148 |
207
+ | No log | 3.6279 | 312 | 0.8319 | 0.2595 | 0.8319 | 0.9121 |
208
+ | No log | 3.6512 | 314 | 0.9255 | 0.3170 | 0.9255 | 0.9620 |
209
+ | No log | 3.6744 | 316 | 0.8852 | 0.2705 | 0.8852 | 0.9408 |
210
+ | No log | 3.6977 | 318 | 0.8012 | 0.2540 | 0.8012 | 0.8951 |
211
+ | No log | 3.7209 | 320 | 0.8517 | 0.2718 | 0.8517 | 0.9229 |
212
+ | No log | 3.7442 | 322 | 0.9012 | 0.2937 | 0.9012 | 0.9493 |
213
+ | No log | 3.7674 | 324 | 0.8356 | 0.3069 | 0.8356 | 0.9141 |
214
+ | No log | 3.7907 | 326 | 0.8491 | 0.2511 | 0.8491 | 0.9215 |
215
+ | No log | 3.8140 | 328 | 0.8723 | 0.1639 | 0.8723 | 0.9340 |
216
+ | No log | 3.8372 | 330 | 0.8844 | 0.1871 | 0.8844 | 0.9404 |
217
+ | No log | 3.8605 | 332 | 0.9178 | 0.2579 | 0.9178 | 0.9580 |
218
+ | No log | 3.8837 | 334 | 0.9215 | 0.2006 | 0.9215 | 0.9599 |
219
+ | No log | 3.9070 | 336 | 0.9376 | 0.2192 | 0.9376 | 0.9683 |
220
+ | No log | 3.9302 | 338 | 0.9216 | 0.2605 | 0.9216 | 0.9600 |
221
+ | No log | 3.9535 | 340 | 0.9396 | 0.2605 | 0.9396 | 0.9693 |
222
+ | No log | 3.9767 | 342 | 0.9545 | 0.2775 | 0.9545 | 0.9770 |
223
+ | No log | 4.0 | 344 | 0.9665 | 0.2669 | 0.9665 | 0.9831 |
224
+ | No log | 4.0233 | 346 | 0.9188 | 0.1246 | 0.9188 | 0.9585 |
225
+ | No log | 4.0465 | 348 | 0.9279 | 0.0285 | 0.9279 | 0.9633 |
226
+ | No log | 4.0698 | 350 | 0.9272 | 0.0984 | 0.9272 | 0.9629 |
227
+ | No log | 4.0930 | 352 | 0.9119 | 0.0946 | 0.9119 | 0.9550 |
228
+ | No log | 4.1163 | 354 | 0.9130 | 0.1825 | 0.9130 | 0.9555 |
229
+ | No log | 4.1395 | 356 | 0.9341 | 0.3136 | 0.9341 | 0.9665 |
230
+ | No log | 4.1628 | 358 | 0.8945 | 0.0909 | 0.8945 | 0.9458 |
231
+ | No log | 4.1860 | 360 | 0.9009 | 0.0602 | 0.9009 | 0.9492 |
232
+ | No log | 4.2093 | 362 | 0.9211 | 0.0876 | 0.9211 | 0.9598 |
233
+ | No log | 4.2326 | 364 | 0.9625 | 0.3279 | 0.9625 | 0.9810 |
234
+ | No log | 4.2558 | 366 | 0.9212 | 0.0602 | 0.9212 | 0.9598 |
235
+ | No log | 4.2791 | 368 | 0.9006 | 0.0295 | 0.9006 | 0.9490 |
236
+ | No log | 4.3023 | 370 | 0.8903 | 0.0687 | 0.8903 | 0.9436 |
237
+ | No log | 4.3256 | 372 | 0.8839 | -0.0112 | 0.8839 | 0.9402 |
238
+ | No log | 4.3488 | 374 | 0.9764 | 0.2887 | 0.9764 | 0.9881 |
239
+ | No log | 4.3721 | 376 | 1.0708 | 0.2754 | 1.0708 | 1.0348 |
240
+ | No log | 4.3953 | 378 | 0.9483 | 0.2912 | 0.9483 | 0.9738 |
241
+ | No log | 4.4186 | 380 | 0.8190 | 0.1592 | 0.8190 | 0.9050 |
242
+ | No log | 4.4419 | 382 | 0.8129 | 0.1528 | 0.8129 | 0.9016 |
243
+ | No log | 4.4651 | 384 | 0.8473 | 0.2214 | 0.8473 | 0.9205 |
244
+ | No log | 4.4884 | 386 | 0.7955 | 0.1873 | 0.7955 | 0.8919 |
245
+ | No log | 4.5116 | 388 | 0.7659 | 0.1952 | 0.7659 | 0.8751 |
246
+ | No log | 4.5349 | 390 | 0.8193 | 0.2809 | 0.8193 | 0.9052 |
247
+ | No log | 4.5581 | 392 | 0.8367 | 0.2809 | 0.8367 | 0.9147 |
248
+ | No log | 4.5814 | 394 | 0.8186 | 0.2505 | 0.8186 | 0.9048 |
249
+ | No log | 4.6047 | 396 | 0.8435 | 0.2449 | 0.8435 | 0.9184 |
250
+ | No log | 4.6279 | 398 | 0.9348 | 0.2471 | 0.9348 | 0.9668 |
251
+ | No log | 4.6512 | 400 | 0.9719 | 0.3302 | 0.9719 | 0.9859 |
252
+ | No log | 4.6744 | 402 | 0.9474 | 0.3312 | 0.9474 | 0.9733 |
253
+ | No log | 4.6977 | 404 | 0.9022 | 0.2913 | 0.9022 | 0.9498 |
254
+ | No log | 4.7209 | 406 | 0.8746 | 0.0594 | 0.8746 | 0.9352 |
255
+ | No log | 4.7442 | 408 | 0.8833 | 0.0594 | 0.8833 | 0.9398 |
256
+ | No log | 4.7674 | 410 | 0.8883 | 0.1303 | 0.8883 | 0.9425 |
257
+ | No log | 4.7907 | 412 | 0.8938 | 0.2720 | 0.8938 | 0.9454 |
258
+ | No log | 4.8140 | 414 | 0.9125 | 0.2283 | 0.9125 | 0.9552 |
259
+ | No log | 4.8372 | 416 | 0.9232 | 0.2283 | 0.9232 | 0.9608 |
260
+ | No log | 4.8605 | 418 | 0.9065 | 0.0860 | 0.9065 | 0.9521 |
261
+ | No log | 4.8837 | 420 | 0.9123 | 0.0210 | 0.9123 | 0.9552 |
262
+ | No log | 4.9070 | 422 | 0.9062 | -0.0108 | 0.9062 | 0.9520 |
263
+ | No log | 4.9302 | 424 | 0.9141 | 0.0220 | 0.9141 | 0.9561 |
264
+ | No log | 4.9535 | 426 | 0.9009 | -0.0067 | 0.9009 | 0.9491 |
265
+ | No log | 4.9767 | 428 | 0.9176 | 0.1693 | 0.9176 | 0.9579 |
266
+ | No log | 5.0 | 430 | 0.9192 | 0.2526 | 0.9192 | 0.9588 |
267
+ | No log | 5.0233 | 432 | 0.9008 | 0.2342 | 0.9008 | 0.9491 |
268
+ | No log | 5.0465 | 434 | 0.8854 | 0.2040 | 0.8854 | 0.9409 |
269
+ | No log | 5.0698 | 436 | 0.8902 | 0.2313 | 0.8902 | 0.9435 |
270
+ | No log | 5.0930 | 438 | 0.8567 | 0.2152 | 0.8567 | 0.9256 |
271
+ | No log | 5.1163 | 440 | 0.8413 | 0.0702 | 0.8413 | 0.9172 |
272
+ | No log | 5.1395 | 442 | 0.8203 | 0.1091 | 0.8203 | 0.9057 |
273
+ | No log | 5.1628 | 444 | 0.8009 | 0.2203 | 0.8009 | 0.8949 |
274
+ | No log | 5.1860 | 446 | 0.8492 | 0.2342 | 0.8492 | 0.9215 |
275
+ | No log | 5.2093 | 448 | 0.8362 | 0.2395 | 0.8362 | 0.9144 |
276
+ | No log | 5.2326 | 450 | 0.8116 | 0.0336 | 0.8116 | 0.9009 |
277
+ | No log | 5.2558 | 452 | 0.8401 | 0.1492 | 0.8401 | 0.9166 |
278
+ | No log | 5.2791 | 454 | 0.8384 | 0.1492 | 0.8384 | 0.9156 |
279
+ | No log | 5.3023 | 456 | 0.8473 | 0.1492 | 0.8473 | 0.9205 |
280
+ | No log | 5.3256 | 458 | 0.8252 | 0.0349 | 0.8252 | 0.9084 |
281
+ | No log | 5.3488 | 460 | 0.8422 | 0.2140 | 0.8422 | 0.9177 |
282
+ | No log | 5.3721 | 462 | 0.8719 | 0.2835 | 0.8719 | 0.9338 |
283
+ | No log | 5.3953 | 464 | 0.9095 | 0.3409 | 0.9095 | 0.9537 |
284
+ | No log | 5.4186 | 466 | 0.9147 | 0.3329 | 0.9147 | 0.9564 |
285
+ | No log | 5.4419 | 468 | 0.9235 | 0.3292 | 0.9235 | 0.9610 |
286
+ | No log | 5.4651 | 470 | 0.9329 | 0.3251 | 0.9329 | 0.9659 |
287
+ | No log | 5.4884 | 472 | 1.0393 | 0.2509 | 1.0393 | 1.0195 |
288
+ | No log | 5.5116 | 474 | 1.0243 | 0.2877 | 1.0243 | 1.0121 |
289
+ | No log | 5.5349 | 476 | 0.9191 | 0.3028 | 0.9191 | 0.9587 |
290
+ | No log | 5.5581 | 478 | 0.8735 | 0.2831 | 0.8735 | 0.9346 |
291
+ | No log | 5.5814 | 480 | 0.8784 | 0.3220 | 0.8784 | 0.9372 |
292
+ | No log | 5.6047 | 482 | 0.9156 | 0.3295 | 0.9156 | 0.9569 |
293
+ | No log | 5.6279 | 484 | 0.8767 | 0.3243 | 0.8767 | 0.9363 |
294
+ | No log | 5.6512 | 486 | 0.8307 | 0.2429 | 0.8307 | 0.9114 |
295
+ | No log | 5.6744 | 488 | 0.8256 | 0.2342 | 0.8256 | 0.9086 |
296
+ | No log | 5.6977 | 490 | 0.8187 | 0.2234 | 0.8187 | 0.9048 |
297
+ | No log | 5.7209 | 492 | 0.8336 | 0.3458 | 0.8336 | 0.9130 |
298
+ | No log | 5.7442 | 494 | 0.8637 | 0.3475 | 0.8637 | 0.9293 |
299
+ | No log | 5.7674 | 496 | 0.8694 | 0.3475 | 0.8694 | 0.9324 |
300
+ | No log | 5.7907 | 498 | 0.8516 | 0.3500 | 0.8516 | 0.9228 |
301
+ | 0.3544 | 5.8140 | 500 | 0.8348 | 0.3015 | 0.8348 | 0.9137 |
302
+ | 0.3544 | 5.8372 | 502 | 0.8362 | 0.1506 | 0.8362 | 0.9144 |
303
+ | 0.3544 | 5.8605 | 504 | 0.8273 | 0.1919 | 0.8273 | 0.9096 |
304
+ | 0.3544 | 5.8837 | 506 | 0.8188 | 0.1918 | 0.8188 | 0.9049 |
305
+ | 0.3544 | 5.9070 | 508 | 0.8112 | 0.2327 | 0.8112 | 0.9007 |
306
+ | 0.3544 | 5.9302 | 510 | 0.8369 | 0.2749 | 0.8369 | 0.9148 |
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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.2",
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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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