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ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_task2_organization

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  1. README.md +314 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: aubmindlab/bert-base-arabertv02
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task2_organization
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task2_organization
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0449
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+ - Qwk: 0.1279
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+ - Mse: 1.0449
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+ - Rmse: 1.0222
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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 | 0.0435 | 2 | 4.8568 | 0.0010 | 4.8568 | 2.2038 |
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+ | No log | 0.0870 | 4 | 2.7587 | -0.0020 | 2.7587 | 1.6609 |
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+ | No log | 0.1304 | 6 | 1.8344 | -0.0233 | 1.8344 | 1.3544 |
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+ | No log | 0.1739 | 8 | 2.1870 | 0.0023 | 2.1870 | 1.4788 |
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+ | No log | 0.2174 | 10 | 1.5915 | 0.0226 | 1.5915 | 1.2615 |
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+ | No log | 0.2609 | 12 | 1.3823 | -0.0159 | 1.3823 | 1.1757 |
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+ | No log | 0.3043 | 14 | 1.2400 | 0.0472 | 1.2400 | 1.1136 |
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+ | No log | 0.3478 | 16 | 1.2251 | 0.1278 | 1.2251 | 1.1069 |
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+ | No log | 0.3913 | 18 | 1.2266 | 0.2097 | 1.2266 | 1.1075 |
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+ | No log | 0.4348 | 20 | 1.2598 | 0.1013 | 1.2598 | 1.1224 |
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+ | No log | 0.4783 | 22 | 1.6134 | -0.0284 | 1.6134 | 1.2702 |
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+ | No log | 0.5217 | 24 | 2.1170 | 0.0486 | 2.1170 | 1.4550 |
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+ | No log | 0.5652 | 26 | 2.0062 | 0.0683 | 2.0062 | 1.4164 |
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+ | No log | 0.6087 | 28 | 1.5958 | 0.0348 | 1.5958 | 1.2632 |
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+ | No log | 0.6522 | 30 | 1.3895 | 0.0232 | 1.3895 | 1.1788 |
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+ | No log | 0.6957 | 32 | 1.3078 | -0.0234 | 1.3078 | 1.1436 |
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+ | No log | 0.7391 | 34 | 1.3492 | 0.0750 | 1.3492 | 1.1616 |
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+ | No log | 0.7826 | 36 | 1.5239 | 0.0723 | 1.5239 | 1.2345 |
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+ | No log | 0.8261 | 38 | 1.5328 | 0.0811 | 1.5328 | 1.2380 |
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+ | No log | 0.8696 | 40 | 1.3959 | 0.1135 | 1.3959 | 1.1815 |
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+ | No log | 0.9130 | 42 | 1.2339 | 0.1622 | 1.2339 | 1.1108 |
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+ | No log | 0.9565 | 44 | 1.1752 | 0.2887 | 1.1752 | 1.0841 |
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+ | No log | 1.0 | 46 | 1.2265 | 0.1407 | 1.2265 | 1.1075 |
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+ | No log | 1.0435 | 48 | 1.2293 | 0.1009 | 1.2293 | 1.1087 |
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+ | No log | 1.0870 | 50 | 1.1837 | 0.1918 | 1.1837 | 1.0880 |
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+ | No log | 1.1304 | 52 | 1.1155 | 0.1935 | 1.1155 | 1.0562 |
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+ | No log | 1.1739 | 54 | 1.0947 | 0.3145 | 1.0947 | 1.0463 |
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+ | No log | 1.2174 | 56 | 1.1164 | 0.1675 | 1.1164 | 1.0566 |
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+ | No log | 1.2609 | 58 | 1.2269 | 0.1772 | 1.2269 | 1.1077 |
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+ | No log | 1.3043 | 60 | 1.4738 | 0.0796 | 1.4738 | 1.2140 |
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+ | No log | 1.3478 | 62 | 1.4824 | 0.0230 | 1.4824 | 1.2176 |
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+ | No log | 1.3913 | 64 | 1.3700 | 0.0686 | 1.3700 | 1.1705 |
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+ | No log | 1.4348 | 66 | 1.2195 | 0.2574 | 1.2195 | 1.1043 |
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+ | No log | 1.4783 | 68 | 1.2895 | 0.3046 | 1.2895 | 1.1356 |
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+ | No log | 1.5217 | 70 | 1.1981 | 0.3274 | 1.1981 | 1.0946 |
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+ | No log | 1.5652 | 72 | 1.0088 | 0.2970 | 1.0088 | 1.0044 |
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+ | No log | 1.6087 | 74 | 0.9936 | 0.3728 | 0.9936 | 0.9968 |
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+ | No log | 1.6522 | 76 | 1.0439 | 0.3502 | 1.0439 | 1.0217 |
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+ | No log | 1.6957 | 78 | 0.9737 | 0.3318 | 0.9737 | 0.9868 |
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+ | No log | 1.7391 | 80 | 1.0713 | 0.3335 | 1.0713 | 1.0350 |
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+ | No log | 1.7826 | 82 | 1.2168 | 0.3129 | 1.2168 | 1.1031 |
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+ | No log | 1.8261 | 84 | 1.2073 | 0.2318 | 1.2073 | 1.0988 |
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+ | No log | 1.8696 | 86 | 1.1362 | 0.2265 | 1.1362 | 1.0659 |
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+ | No log | 1.9130 | 88 | 1.1788 | 0.2319 | 1.1788 | 1.0857 |
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+ | No log | 1.9565 | 90 | 1.2889 | 0.1239 | 1.2889 | 1.1353 |
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+ | No log | 2.0 | 92 | 1.3390 | 0.1071 | 1.3390 | 1.1572 |
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+ | No log | 2.0435 | 94 | 1.3460 | 0.1611 | 1.3460 | 1.1602 |
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+ | No log | 2.0870 | 96 | 1.2305 | 0.3182 | 1.2305 | 1.1093 |
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+ | No log | 2.1304 | 98 | 1.0868 | 0.3349 | 1.0868 | 1.0425 |
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+ | No log | 2.1739 | 100 | 1.0055 | 0.3139 | 1.0055 | 1.0028 |
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+ | No log | 2.2174 | 102 | 1.0372 | 0.3478 | 1.0372 | 1.0184 |
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+ | No log | 2.2609 | 104 | 1.1969 | 0.3340 | 1.1969 | 1.0940 |
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+ | No log | 2.3043 | 106 | 1.4084 | 0.2918 | 1.4084 | 1.1867 |
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+ | No log | 2.3478 | 108 | 1.4040 | 0.2941 | 1.4040 | 1.1849 |
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+ | No log | 2.3913 | 110 | 1.2159 | 0.2236 | 1.2159 | 1.1027 |
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+ | No log | 2.4348 | 112 | 1.1014 | 0.2175 | 1.1014 | 1.0495 |
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+ | No log | 2.4783 | 114 | 1.0702 | 0.2355 | 1.0702 | 1.0345 |
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+ | No log | 2.5217 | 116 | 1.0816 | 0.2850 | 1.0816 | 1.0400 |
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+ | No log | 2.5652 | 118 | 1.0844 | 0.2341 | 1.0844 | 1.0414 |
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+ | No log | 2.6087 | 120 | 1.1404 | 0.2110 | 1.1404 | 1.0679 |
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+ | No log | 2.6522 | 122 | 1.1548 | 0.2065 | 1.1548 | 1.0746 |
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+ | No log | 2.6957 | 124 | 1.0872 | 0.1814 | 1.0872 | 1.0427 |
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+ | No log | 2.7391 | 126 | 1.0529 | 0.1722 | 1.0529 | 1.0261 |
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+ | No log | 2.7826 | 128 | 1.0577 | 0.1814 | 1.0577 | 1.0284 |
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+ | No log | 2.8261 | 130 | 1.0956 | 0.2248 | 1.0956 | 1.0467 |
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+ | No log | 2.8696 | 132 | 1.0473 | 0.2470 | 1.0473 | 1.0234 |
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+ | No log | 2.9130 | 134 | 1.0519 | 0.2506 | 1.0519 | 1.0256 |
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+ | No log | 2.9565 | 136 | 1.1881 | 0.3024 | 1.1881 | 1.0900 |
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+ | No log | 3.0 | 138 | 1.3209 | 0.3631 | 1.3209 | 1.1493 |
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+ | No log | 3.0435 | 140 | 1.2886 | 0.3537 | 1.2886 | 1.1352 |
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+ | No log | 3.0870 | 142 | 1.1839 | 0.3340 | 1.1839 | 1.0881 |
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+ | No log | 3.1304 | 144 | 1.1908 | 0.3340 | 1.1908 | 1.0912 |
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+ | No log | 3.1739 | 146 | 1.1565 | 0.2563 | 1.1565 | 1.0754 |
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+ | No log | 3.2174 | 148 | 1.1898 | 0.3109 | 1.1898 | 1.0908 |
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+ | No log | 3.2609 | 150 | 1.1634 | 0.2818 | 1.1634 | 1.0786 |
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+ | No log | 3.3043 | 152 | 1.1328 | 0.2110 | 1.1328 | 1.0643 |
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+ | No log | 3.3478 | 154 | 1.1176 | 0.1662 | 1.1176 | 1.0572 |
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+ | No log | 3.3913 | 156 | 1.1274 | 0.1662 | 1.1274 | 1.0618 |
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+ | No log | 3.4348 | 158 | 1.1960 | 0.1761 | 1.1960 | 1.0936 |
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+ | No log | 3.4783 | 160 | 1.3016 | 0.1750 | 1.3016 | 1.1409 |
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+ | No log | 3.5217 | 162 | 1.3894 | 0.1046 | 1.3894 | 1.1787 |
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+ | No log | 3.5652 | 164 | 1.4282 | 0.1339 | 1.4282 | 1.1951 |
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+ | No log | 3.6087 | 166 | 1.4672 | 0.1594 | 1.4672 | 1.2113 |
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+ | No log | 3.6522 | 168 | 1.4113 | 0.1447 | 1.4113 | 1.1880 |
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+ | No log | 3.6957 | 170 | 1.2918 | 0.2402 | 1.2918 | 1.1366 |
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+ | No log | 3.7391 | 172 | 1.1639 | 0.2557 | 1.1639 | 1.0788 |
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+ | No log | 3.7826 | 174 | 1.1487 | 0.2417 | 1.1487 | 1.0718 |
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+ | No log | 3.8261 | 176 | 1.1328 | 0.2263 | 1.1328 | 1.0643 |
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+ | No log | 3.8696 | 178 | 1.0902 | 0.2108 | 1.0902 | 1.0441 |
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+ | No log | 3.9130 | 180 | 1.1081 | 0.2454 | 1.1081 | 1.0527 |
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+ | No log | 3.9565 | 182 | 1.1224 | 0.0420 | 1.1224 | 1.0595 |
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+ | No log | 4.0 | 184 | 1.1125 | 0.1753 | 1.1125 | 1.0548 |
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+ | No log | 4.0435 | 186 | 1.1084 | 0.3106 | 1.1084 | 1.0528 |
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+ | No log | 4.0870 | 188 | 1.1710 | 0.3863 | 1.1710 | 1.0821 |
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+ | No log | 4.1304 | 190 | 1.1892 | 0.3815 | 1.1892 | 1.0905 |
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+ | No log | 4.1739 | 192 | 1.0674 | 0.2718 | 1.0674 | 1.0332 |
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+ | No log | 4.2174 | 194 | 0.9993 | 0.2539 | 0.9993 | 0.9997 |
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+ | No log | 4.2609 | 196 | 1.1538 | 0.3567 | 1.1538 | 1.0741 |
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+ | No log | 4.3043 | 198 | 1.4414 | 0.3269 | 1.4414 | 1.2006 |
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+ | No log | 4.3478 | 200 | 1.4752 | 0.2708 | 1.4752 | 1.2146 |
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+ | No log | 4.3913 | 202 | 1.3169 | 0.3106 | 1.3169 | 1.1476 |
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+ | No log | 4.4348 | 204 | 1.1040 | 0.3192 | 1.1040 | 1.0507 |
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+ | No log | 4.4783 | 206 | 0.9788 | 0.2219 | 0.9788 | 0.9894 |
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+ | No log | 4.5217 | 208 | 0.9457 | 0.3345 | 0.9457 | 0.9725 |
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+ | No log | 4.5652 | 210 | 0.9472 | 0.2939 | 0.9472 | 0.9732 |
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+ | No log | 4.6087 | 212 | 0.9810 | 0.2200 | 0.9810 | 0.9904 |
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+ | No log | 4.6522 | 214 | 1.0351 | 0.1307 | 1.0351 | 1.0174 |
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+ | No log | 4.6957 | 216 | 1.0325 | 0.1307 | 1.0325 | 1.0161 |
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+ | No log | 4.7391 | 218 | 1.0038 | 0.2371 | 1.0038 | 1.0019 |
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+ | No log | 4.7826 | 220 | 1.0028 | 0.2539 | 1.0028 | 1.0014 |
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+ | No log | 4.8261 | 222 | 1.0314 | 0.2592 | 1.0314 | 1.0156 |
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+ | No log | 4.8696 | 224 | 1.0603 | 0.2296 | 1.0603 | 1.0297 |
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+ | No log | 4.9130 | 226 | 1.0698 | 0.2386 | 1.0698 | 1.0343 |
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+ | No log | 4.9565 | 228 | 1.0716 | 0.1919 | 1.0716 | 1.0352 |
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+ | No log | 5.0 | 230 | 1.0805 | 0.2417 | 1.0805 | 1.0395 |
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+ | No log | 5.0435 | 232 | 1.0872 | 0.2417 | 1.0872 | 1.0427 |
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+ | No log | 5.0870 | 234 | 1.0672 | 0.2317 | 1.0672 | 1.0330 |
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+ | No log | 5.1304 | 236 | 1.0585 | 0.2286 | 1.0585 | 1.0288 |
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+ | No log | 5.1739 | 238 | 1.0485 | 0.2341 | 1.0485 | 1.0240 |
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+ | No log | 5.2174 | 240 | 1.0368 | 0.2033 | 1.0368 | 1.0182 |
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+ | No log | 5.2609 | 242 | 1.0551 | 0.3206 | 1.0551 | 1.0272 |
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+ | No log | 5.3043 | 244 | 1.0370 | 0.2947 | 1.0370 | 1.0183 |
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+ | No log | 5.3478 | 246 | 1.0301 | 0.2801 | 1.0301 | 1.0149 |
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+ | No log | 5.3913 | 248 | 1.0710 | 0.2714 | 1.0710 | 1.0349 |
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+ | No log | 5.4348 | 250 | 1.1304 | 0.2696 | 1.1304 | 1.0632 |
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+ | No log | 5.4783 | 252 | 1.1262 | 0.2931 | 1.1262 | 1.0612 |
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+ | No log | 5.5217 | 254 | 1.0744 | 0.2780 | 1.0744 | 1.0365 |
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+ | No log | 5.5652 | 256 | 1.0587 | 0.25 | 1.0587 | 1.0289 |
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+ | No log | 5.6087 | 258 | 1.0383 | 0.2949 | 1.0383 | 1.0190 |
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+ | No log | 5.6522 | 260 | 1.0842 | 0.2439 | 1.0842 | 1.0413 |
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+ | No log | 5.6957 | 262 | 1.1380 | 0.2714 | 1.1380 | 1.0668 |
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+ | No log | 5.7391 | 264 | 1.1445 | 0.2619 | 1.1445 | 1.0698 |
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+ | No log | 5.7826 | 266 | 1.1139 | 0.2490 | 1.1139 | 1.0554 |
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+ | No log | 5.8261 | 268 | 1.0974 | 0.2733 | 1.0974 | 1.0476 |
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+ | No log | 5.8696 | 270 | 1.1217 | 0.2330 | 1.1217 | 1.0591 |
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+ | No log | 5.9130 | 272 | 1.2194 | 0.3332 | 1.2194 | 1.1042 |
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+ | No log | 5.9565 | 274 | 1.2545 | 0.3562 | 1.2545 | 1.1200 |
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+ | No log | 6.0 | 276 | 1.2044 | 0.3093 | 1.2044 | 1.0975 |
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+ | No log | 6.0435 | 278 | 1.1188 | 0.2535 | 1.1188 | 1.0577 |
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+ | No log | 6.0870 | 280 | 1.0698 | 0.2683 | 1.0698 | 1.0343 |
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+ | No log | 6.1304 | 282 | 1.0780 | 0.3289 | 1.0780 | 1.0383 |
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+ | No log | 6.1739 | 284 | 1.1447 | 0.3341 | 1.1447 | 1.0699 |
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+ | No log | 6.2174 | 286 | 1.1594 | 0.2931 | 1.1594 | 1.0768 |
195
+ | No log | 6.2609 | 288 | 1.0547 | 0.3046 | 1.0547 | 1.0270 |
196
+ | No log | 6.3043 | 290 | 0.9190 | 0.2921 | 0.9190 | 0.9586 |
197
+ | No log | 6.3478 | 292 | 0.9030 | 0.2773 | 0.9030 | 0.9503 |
198
+ | No log | 6.3913 | 294 | 0.9207 | 0.3453 | 0.9207 | 0.9595 |
199
+ | No log | 6.4348 | 296 | 0.9409 | 0.3453 | 0.9409 | 0.9700 |
200
+ | No log | 6.4783 | 298 | 0.9762 | 0.2218 | 0.9762 | 0.9880 |
201
+ | No log | 6.5217 | 300 | 1.0938 | 0.2772 | 1.0938 | 1.0458 |
202
+ | No log | 6.5652 | 302 | 1.2403 | 0.3590 | 1.2403 | 1.1137 |
203
+ | No log | 6.6087 | 304 | 1.2948 | 0.3590 | 1.2948 | 1.1379 |
204
+ | No log | 6.6522 | 306 | 1.2253 | 0.2602 | 1.2253 | 1.1070 |
205
+ | No log | 6.6957 | 308 | 1.2033 | 0.2602 | 1.2033 | 1.0969 |
206
+ | No log | 6.7391 | 310 | 1.2244 | 0.2570 | 1.2244 | 1.1065 |
207
+ | No log | 6.7826 | 312 | 1.2444 | 0.2570 | 1.2444 | 1.1155 |
208
+ | No log | 6.8261 | 314 | 1.2248 | 0.2864 | 1.2248 | 1.1067 |
209
+ | No log | 6.8696 | 316 | 1.1836 | 0.2509 | 1.1836 | 1.0879 |
210
+ | No log | 6.9130 | 318 | 1.1785 | 0.3001 | 1.1785 | 1.0856 |
211
+ | No log | 6.9565 | 320 | 1.1813 | 0.3249 | 1.1813 | 1.0869 |
212
+ | No log | 7.0 | 322 | 1.1570 | 0.2772 | 1.1570 | 1.0756 |
213
+ | No log | 7.0435 | 324 | 1.1008 | 0.1951 | 1.1008 | 1.0492 |
214
+ | No log | 7.0870 | 326 | 1.1117 | 0.2236 | 1.1117 | 1.0544 |
215
+ | No log | 7.1304 | 328 | 1.1147 | 0.2439 | 1.1147 | 1.0558 |
216
+ | No log | 7.1739 | 330 | 1.1319 | 0.2439 | 1.1319 | 1.0639 |
217
+ | No log | 7.2174 | 332 | 1.0559 | 0.1853 | 1.0559 | 1.0276 |
218
+ | No log | 7.2609 | 334 | 1.0273 | 0.1706 | 1.0273 | 1.0135 |
219
+ | No log | 7.3043 | 336 | 1.0372 | 0.1706 | 1.0372 | 1.0184 |
220
+ | No log | 7.3478 | 338 | 1.0986 | 0.1951 | 1.0986 | 1.0481 |
221
+ | No log | 7.3913 | 340 | 1.1650 | 0.3001 | 1.1650 | 1.0794 |
222
+ | No log | 7.4348 | 342 | 1.2015 | 0.3094 | 1.2015 | 1.0961 |
223
+ | No log | 7.4783 | 344 | 1.1300 | 0.2475 | 1.1300 | 1.0630 |
224
+ | No log | 7.5217 | 346 | 1.0705 | 0.1761 | 1.0705 | 1.0346 |
225
+ | No log | 7.5652 | 348 | 1.0800 | 0.1442 | 1.0800 | 1.0392 |
226
+ | No log | 7.6087 | 350 | 1.1783 | 0.3094 | 1.1783 | 1.0855 |
227
+ | No log | 7.6522 | 352 | 1.2455 | 0.3590 | 1.2455 | 1.1160 |
228
+ | No log | 7.6957 | 354 | 1.2221 | 0.3324 | 1.2221 | 1.1055 |
229
+ | No log | 7.7391 | 356 | 1.1117 | 0.1853 | 1.1117 | 1.0544 |
230
+ | No log | 7.7826 | 358 | 1.0542 | 0.1701 | 1.0542 | 1.0268 |
231
+ | No log | 7.8261 | 360 | 1.0427 | 0.1602 | 1.0427 | 1.0211 |
232
+ | No log | 7.8696 | 362 | 1.1162 | 0.2439 | 1.1162 | 1.0565 |
233
+ | No log | 7.9130 | 364 | 1.2037 | 0.3324 | 1.2037 | 1.0971 |
234
+ | No log | 7.9565 | 366 | 1.2143 | 0.3187 | 1.2143 | 1.1020 |
235
+ | No log | 8.0 | 368 | 1.1394 | 0.3049 | 1.1394 | 1.0674 |
236
+ | No log | 8.0435 | 370 | 1.1093 | 0.2439 | 1.1093 | 1.0532 |
237
+ | No log | 8.0870 | 372 | 1.1000 | 0.2248 | 1.1000 | 1.0488 |
238
+ | No log | 8.1304 | 374 | 1.1458 | 0.2439 | 1.1458 | 1.0704 |
239
+ | No log | 8.1739 | 376 | 1.2367 | 0.2980 | 1.2367 | 1.1121 |
240
+ | No log | 8.2174 | 378 | 1.2315 | 0.2460 | 1.2315 | 1.1097 |
241
+ | No log | 8.2609 | 380 | 1.1472 | 0.2343 | 1.1472 | 1.0711 |
242
+ | No log | 8.3043 | 382 | 1.0594 | 0.2591 | 1.0594 | 1.0293 |
243
+ | No log | 8.3478 | 384 | 1.0228 | 0.2743 | 1.0228 | 1.0113 |
244
+ | No log | 8.3913 | 386 | 1.0213 | 0.2754 | 1.0213 | 1.0106 |
245
+ | No log | 8.4348 | 388 | 1.1028 | 0.2698 | 1.1028 | 1.0501 |
246
+ | No log | 8.4783 | 390 | 1.3209 | 0.3512 | 1.3209 | 1.1493 |
247
+ | No log | 8.5217 | 392 | 1.4624 | 0.2873 | 1.4624 | 1.2093 |
248
+ | No log | 8.5652 | 394 | 1.4010 | 0.3188 | 1.4010 | 1.1836 |
249
+ | No log | 8.6087 | 396 | 1.2303 | 0.3433 | 1.2303 | 1.1092 |
250
+ | No log | 8.6522 | 398 | 1.0633 | 0.2250 | 1.0633 | 1.0311 |
251
+ | No log | 8.6957 | 400 | 1.0009 | 0.1820 | 1.0009 | 1.0004 |
252
+ | No log | 8.7391 | 402 | 1.0058 | 0.2065 | 1.0058 | 1.0029 |
253
+ | No log | 8.7826 | 404 | 1.0431 | 0.2046 | 1.0431 | 1.0213 |
254
+ | No log | 8.8261 | 406 | 1.1219 | 0.3433 | 1.1219 | 1.0592 |
255
+ | No log | 8.8696 | 408 | 1.0946 | 0.2931 | 1.0946 | 1.0462 |
256
+ | No log | 8.9130 | 410 | 1.0144 | 0.2304 | 1.0144 | 1.0072 |
257
+ | No log | 8.9565 | 412 | 1.0042 | 0.2439 | 1.0042 | 1.0021 |
258
+ | No log | 9.0 | 414 | 0.9856 | 0.2586 | 0.9856 | 0.9928 |
259
+ | No log | 9.0435 | 416 | 1.0648 | 0.3187 | 1.0648 | 1.0319 |
260
+ | No log | 9.0870 | 418 | 1.2429 | 0.3706 | 1.2429 | 1.1148 |
261
+ | No log | 9.1304 | 420 | 1.3380 | 0.3615 | 1.3380 | 1.1567 |
262
+ | No log | 9.1739 | 422 | 1.2477 | 0.3723 | 1.2477 | 1.1170 |
263
+ | No log | 9.2174 | 424 | 1.0856 | 0.3800 | 1.0856 | 1.0419 |
264
+ | No log | 9.2609 | 426 | 1.0280 | 0.2837 | 1.0280 | 1.0139 |
265
+ | No log | 9.3043 | 428 | 1.0367 | 0.2809 | 1.0367 | 1.0182 |
266
+ | No log | 9.3478 | 430 | 1.0746 | 0.3167 | 1.0746 | 1.0366 |
267
+ | No log | 9.3913 | 432 | 1.1609 | 0.3418 | 1.1609 | 1.0774 |
268
+ | No log | 9.4348 | 434 | 1.1257 | 0.3146 | 1.1257 | 1.0610 |
269
+ | No log | 9.4783 | 436 | 1.0476 | 0.1795 | 1.0476 | 1.0235 |
270
+ | No log | 9.5217 | 438 | 1.0153 | 0.1641 | 1.0153 | 1.0076 |
271
+ | No log | 9.5652 | 440 | 1.0379 | 0.1641 | 1.0379 | 1.0188 |
272
+ | No log | 9.6087 | 442 | 1.1048 | 0.1795 | 1.1048 | 1.0511 |
273
+ | No log | 9.6522 | 444 | 1.2247 | 0.3538 | 1.2247 | 1.1067 |
274
+ | No log | 9.6957 | 446 | 1.2394 | 0.3769 | 1.2394 | 1.1133 |
275
+ | No log | 9.7391 | 448 | 1.1595 | 0.2387 | 1.1595 | 1.0768 |
276
+ | No log | 9.7826 | 450 | 1.1063 | 0.1795 | 1.1063 | 1.0518 |
277
+ | No log | 9.8261 | 452 | 1.0311 | 0.1808 | 1.0311 | 1.0154 |
278
+ | No log | 9.8696 | 454 | 1.0280 | 0.2083 | 1.0280 | 1.0139 |
279
+ | No log | 9.9130 | 456 | 1.0800 | 0.1148 | 1.0800 | 1.0392 |
280
+ | No log | 9.9565 | 458 | 1.1742 | 0.2097 | 1.1742 | 1.0836 |
281
+ | No log | 10.0 | 460 | 1.2984 | 0.2781 | 1.2984 | 1.1395 |
282
+ | No log | 10.0435 | 462 | 1.2796 | 0.2725 | 1.2796 | 1.1312 |
283
+ | No log | 10.0870 | 464 | 1.1963 | 0.1801 | 1.1963 | 1.0938 |
284
+ | No log | 10.1304 | 466 | 1.1680 | 0.2250 | 1.1680 | 1.0807 |
285
+ | No log | 10.1739 | 468 | 1.2458 | 0.1650 | 1.2458 | 1.1162 |
286
+ | No log | 10.2174 | 470 | 1.3004 | 0.1650 | 1.3004 | 1.1403 |
287
+ | No log | 10.2609 | 472 | 1.3446 | 0.1252 | 1.3446 | 1.1596 |
288
+ | No log | 10.3043 | 474 | 1.3671 | 0.1252 | 1.3671 | 1.1692 |
289
+ | No log | 10.3478 | 476 | 1.3331 | 0.0937 | 1.3331 | 1.1546 |
290
+ | No log | 10.3913 | 478 | 1.2979 | 0.1345 | 1.2979 | 1.1393 |
291
+ | No log | 10.4348 | 480 | 1.3482 | 0.1252 | 1.3482 | 1.1611 |
292
+ | No log | 10.4783 | 482 | 1.4597 | 0.3026 | 1.4597 | 1.2082 |
293
+ | No log | 10.5217 | 484 | 1.4328 | 0.3238 | 1.4328 | 1.1970 |
294
+ | No log | 10.5652 | 486 | 1.3326 | 0.2460 | 1.3326 | 1.1544 |
295
+ | No log | 10.6087 | 488 | 1.1928 | 0.1952 | 1.1928 | 1.0921 |
296
+ | No log | 10.6522 | 490 | 1.0760 | 0.1114 | 1.0760 | 1.0373 |
297
+ | No log | 10.6957 | 492 | 1.0408 | 0.1114 | 1.0408 | 1.0202 |
298
+ | No log | 10.7391 | 494 | 1.0479 | 0.1214 | 1.0479 | 1.0236 |
299
+ | No log | 10.7826 | 496 | 1.0953 | 0.1853 | 1.0953 | 1.0466 |
300
+ | No log | 10.8261 | 498 | 1.1782 | 0.1795 | 1.1782 | 1.0855 |
301
+ | 0.3848 | 10.8696 | 500 | 1.2680 | 0.2905 | 1.2680 | 1.1260 |
302
+ | 0.3848 | 10.9130 | 502 | 1.2929 | 0.2519 | 1.2929 | 1.1370 |
303
+ | 0.3848 | 10.9565 | 504 | 1.2507 | 0.1795 | 1.2507 | 1.1183 |
304
+ | 0.3848 | 11.0 | 506 | 1.1557 | 0.1952 | 1.1557 | 1.0750 |
305
+ | 0.3848 | 11.0435 | 508 | 1.0805 | 0.1442 | 1.0805 | 1.0395 |
306
+ | 0.3848 | 11.0870 | 510 | 1.0449 | 0.1279 | 1.0449 | 1.0222 |
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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+ "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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