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ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_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_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k17_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_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k17_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: 1.2870
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+ - Qwk: 0.2657
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+ - Mse: 1.2870
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+ - Rmse: 1.1345
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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+ | No log | 0.0227 | 2 | 4.5812 | 0.0010 | 4.5812 | 2.1404 |
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+ | No log | 0.0455 | 4 | 2.7370 | 0.0193 | 2.7370 | 1.6544 |
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+ | No log | 0.0682 | 6 | 1.9793 | -0.0303 | 1.9793 | 1.4069 |
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+ | No log | 0.0909 | 8 | 1.7507 | -0.0301 | 1.7507 | 1.3232 |
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+ | No log | 0.1136 | 10 | 2.2525 | -0.0787 | 2.2525 | 1.5008 |
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+ | No log | 0.1364 | 12 | 2.5210 | -0.0499 | 2.5210 | 1.5878 |
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+ | No log | 0.1591 | 14 | 2.0029 | 0.0 | 2.0029 | 1.4153 |
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+ | No log | 0.1818 | 16 | 1.3485 | 0.0961 | 1.3485 | 1.1612 |
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+ | No log | 0.2045 | 18 | 1.1732 | 0.2333 | 1.1732 | 1.0831 |
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+ | No log | 0.2273 | 20 | 1.1650 | 0.3087 | 1.1650 | 1.0793 |
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+ | No log | 0.25 | 22 | 1.2208 | 0.1791 | 1.2208 | 1.1049 |
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+ | No log | 0.2727 | 24 | 1.3579 | 0.1136 | 1.3579 | 1.1653 |
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+ | No log | 0.2955 | 26 | 1.8179 | 0.0426 | 1.8179 | 1.3483 |
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+ | No log | 0.3182 | 28 | 1.9259 | 0.0237 | 1.9259 | 1.3878 |
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+ | No log | 0.3409 | 30 | 1.7437 | 0.1015 | 1.7437 | 1.3205 |
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+ | No log | 0.3636 | 32 | 1.4208 | 0.1622 | 1.4208 | 1.1920 |
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+ | No log | 0.3864 | 34 | 1.4020 | 0.1622 | 1.4020 | 1.1841 |
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+ | No log | 0.4091 | 36 | 1.2916 | 0.1388 | 1.2916 | 1.1365 |
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+ | No log | 0.4318 | 38 | 1.5265 | 0.1087 | 1.5265 | 1.2355 |
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+ | No log | 0.4545 | 40 | 1.7723 | 0.1366 | 1.7723 | 1.3313 |
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+ | No log | 0.4773 | 42 | 1.8485 | 0.1639 | 1.8485 | 1.3596 |
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+ | No log | 0.5 | 44 | 1.9660 | 0.1032 | 1.9660 | 1.4021 |
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+ | No log | 0.5227 | 46 | 1.6414 | 0.1283 | 1.6414 | 1.2812 |
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+ | No log | 0.5455 | 48 | 1.2842 | 0.1959 | 1.2842 | 1.1332 |
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+ | No log | 0.5682 | 50 | 1.2453 | 0.2298 | 1.2453 | 1.1159 |
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+ | No log | 0.5909 | 52 | 1.2665 | 0.1959 | 1.2665 | 1.1254 |
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+ | No log | 0.6136 | 54 | 1.2259 | 0.1848 | 1.2259 | 1.1072 |
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+ | No log | 0.6364 | 56 | 1.1506 | 0.1887 | 1.1506 | 1.0726 |
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+ | No log | 0.6591 | 58 | 1.1600 | 0.2572 | 1.1600 | 1.0770 |
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+ | No log | 0.6818 | 60 | 1.2682 | 0.1848 | 1.2682 | 1.1261 |
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+ | No log | 0.7045 | 62 | 1.3460 | 0.1999 | 1.3460 | 1.1602 |
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+ | No log | 0.7273 | 64 | 1.4576 | 0.1784 | 1.4576 | 1.2073 |
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+ | No log | 0.75 | 66 | 1.3371 | 0.1999 | 1.3370 | 1.1563 |
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+ | No log | 0.7727 | 68 | 1.1811 | 0.1638 | 1.1811 | 1.0868 |
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+ | No log | 0.7955 | 70 | 1.1379 | 0.2733 | 1.1379 | 1.0667 |
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+ | No log | 0.8182 | 72 | 1.1255 | 0.2733 | 1.1255 | 1.0609 |
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+ | No log | 0.8409 | 74 | 1.1239 | 0.2764 | 1.1239 | 1.0601 |
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+ | No log | 0.8636 | 76 | 1.1598 | 0.2333 | 1.1598 | 1.0769 |
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+ | No log | 0.8864 | 78 | 1.1749 | 0.2234 | 1.1749 | 1.0839 |
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+ | No log | 0.9091 | 80 | 1.2201 | 0.1990 | 1.2201 | 1.1046 |
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+ | No log | 0.9318 | 82 | 1.1780 | 0.2075 | 1.1780 | 1.0854 |
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+ | No log | 0.9545 | 84 | 1.3190 | 0.2431 | 1.3190 | 1.1485 |
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+ | No log | 0.9773 | 86 | 1.5747 | 0.2266 | 1.5747 | 1.2549 |
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+ | No log | 1.0 | 88 | 1.4200 | 0.2674 | 1.4200 | 1.1916 |
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+ | No log | 1.0227 | 90 | 1.2074 | 0.2335 | 1.2074 | 1.0988 |
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+ | No log | 1.0455 | 92 | 1.1538 | 0.2556 | 1.1538 | 1.0742 |
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+ | No log | 1.0682 | 94 | 1.1087 | 0.2707 | 1.1087 | 1.0529 |
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+ | No log | 1.0909 | 96 | 1.1707 | 0.2480 | 1.1707 | 1.0820 |
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+ | No log | 1.1136 | 98 | 1.4097 | 0.2217 | 1.4097 | 1.1873 |
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+ | No log | 1.1364 | 100 | 1.3989 | 0.2375 | 1.3989 | 1.1827 |
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+ | No log | 1.1591 | 102 | 1.2644 | 0.2103 | 1.2644 | 1.1244 |
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+ | No log | 1.1818 | 104 | 1.2215 | 0.2997 | 1.2215 | 1.1052 |
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+ | No log | 1.2045 | 106 | 1.2464 | 0.2999 | 1.2464 | 1.1164 |
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+ | No log | 1.2273 | 108 | 1.2380 | 0.2216 | 1.2380 | 1.1127 |
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+ | No log | 1.25 | 110 | 1.3203 | 0.1412 | 1.3203 | 1.1490 |
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+ | No log | 1.2727 | 112 | 1.4162 | 0.1476 | 1.4162 | 1.1900 |
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+ | No log | 1.2955 | 114 | 1.3047 | 0.1294 | 1.3047 | 1.1422 |
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+ | No log | 1.3182 | 116 | 1.2255 | 0.2627 | 1.2255 | 1.1070 |
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+ | No log | 1.3409 | 118 | 1.1949 | 0.2627 | 1.1949 | 1.0931 |
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+ | No log | 1.3636 | 120 | 1.2531 | 0.1798 | 1.2531 | 1.1194 |
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+ | No log | 1.3864 | 122 | 1.4311 | 0.2096 | 1.4311 | 1.1963 |
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+ | No log | 1.4091 | 124 | 1.3274 | 0.2253 | 1.3274 | 1.1521 |
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+ | No log | 1.4318 | 126 | 1.2398 | 0.2151 | 1.2398 | 1.1135 |
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+ | No log | 1.4545 | 128 | 1.1568 | 0.3384 | 1.1568 | 1.0755 |
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+ | No log | 1.4773 | 130 | 1.1353 | 0.4401 | 1.1353 | 1.0655 |
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+ | No log | 1.5 | 132 | 1.2070 | 0.2754 | 1.2070 | 1.0986 |
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+ | No log | 1.5227 | 134 | 1.5070 | 0.2181 | 1.5070 | 1.2276 |
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+ | No log | 1.5455 | 136 | 1.5350 | 0.2300 | 1.5350 | 1.2390 |
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+ | No log | 1.5682 | 138 | 1.2870 | 0.2627 | 1.2870 | 1.1345 |
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+ | No log | 1.5909 | 140 | 1.1433 | 0.3496 | 1.1433 | 1.0693 |
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+ | No log | 1.6136 | 142 | 1.1523 | 0.3261 | 1.1523 | 1.0735 |
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+ | No log | 1.6364 | 144 | 1.1916 | 0.2353 | 1.1916 | 1.0916 |
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+ | No log | 1.6591 | 146 | 1.3621 | 0.2094 | 1.3621 | 1.1671 |
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+ | No log | 1.6818 | 148 | 1.5423 | 0.2181 | 1.5423 | 1.2419 |
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+ | No log | 1.7045 | 150 | 1.5269 | 0.1849 | 1.5269 | 1.2357 |
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+ | No log | 1.7273 | 152 | 1.4831 | 0.1914 | 1.4831 | 1.2178 |
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+ | No log | 1.75 | 154 | 1.4746 | 0.1956 | 1.4746 | 1.2143 |
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+ | No log | 1.7727 | 156 | 1.3756 | 0.1974 | 1.3756 | 1.1729 |
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+ | No log | 1.7955 | 158 | 1.2837 | 0.2166 | 1.2837 | 1.1330 |
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+ | No log | 1.8182 | 160 | 1.3094 | 0.2025 | 1.3094 | 1.1443 |
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+ | No log | 1.8409 | 162 | 1.3479 | 0.1498 | 1.3479 | 1.1610 |
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+ | No log | 1.8636 | 164 | 1.5494 | 0.1705 | 1.5494 | 1.2448 |
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+ | No log | 1.8864 | 166 | 1.9571 | 0.0716 | 1.9571 | 1.3990 |
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+ | No log | 1.9091 | 168 | 1.8897 | 0.1031 | 1.8897 | 1.3746 |
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+ | No log | 1.9318 | 170 | 1.5257 | 0.2490 | 1.5257 | 1.2352 |
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+ | No log | 1.9545 | 172 | 1.2281 | 0.2653 | 1.2281 | 1.1082 |
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+ | No log | 1.9773 | 174 | 1.1153 | 0.2784 | 1.1153 | 1.0561 |
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+ | No log | 2.0 | 176 | 1.0573 | 0.2707 | 1.0573 | 1.0283 |
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+ | No log | 2.0227 | 178 | 1.0312 | 0.3164 | 1.0312 | 1.0155 |
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+ | No log | 2.0455 | 180 | 1.0211 | 0.4077 | 1.0211 | 1.0105 |
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+ | No log | 2.0682 | 182 | 1.0287 | 0.4220 | 1.0287 | 1.0142 |
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+ | No log | 2.0909 | 184 | 1.0468 | 0.3979 | 1.0468 | 1.0231 |
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+ | No log | 2.1136 | 186 | 1.0743 | 0.3873 | 1.0743 | 1.0365 |
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+ | No log | 2.1364 | 188 | 1.0715 | 0.3527 | 1.0715 | 1.0352 |
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+ | No log | 2.1591 | 190 | 1.1514 | 0.2636 | 1.1514 | 1.0730 |
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+ | No log | 2.1818 | 192 | 1.1532 | 0.2986 | 1.1532 | 1.0738 |
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+ | No log | 2.2045 | 194 | 1.0746 | 0.3527 | 1.0746 | 1.0366 |
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+ | No log | 2.2273 | 196 | 1.0617 | 0.2857 | 1.0617 | 1.0304 |
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+ | No log | 2.25 | 198 | 1.0742 | 0.2857 | 1.0742 | 1.0364 |
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+ | No log | 2.2727 | 200 | 1.0772 | 0.3468 | 1.0772 | 1.0379 |
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+ | No log | 2.2955 | 202 | 1.1814 | 0.3262 | 1.1814 | 1.0869 |
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+ | No log | 2.3182 | 204 | 1.2318 | 0.3290 | 1.2318 | 1.1099 |
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+ | No log | 2.3409 | 206 | 1.1363 | 0.2757 | 1.1363 | 1.0660 |
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+ | No log | 2.3636 | 208 | 1.1093 | 0.2812 | 1.1093 | 1.0533 |
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+ | No log | 2.3864 | 210 | 1.1017 | 0.2703 | 1.1017 | 1.0496 |
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+ | No log | 2.4091 | 212 | 1.0999 | 0.2755 | 1.0999 | 1.0488 |
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+ | No log | 2.4318 | 214 | 1.1154 | 0.2897 | 1.1154 | 1.0561 |
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+ | No log | 2.4545 | 216 | 1.1257 | 0.2664 | 1.1257 | 1.0610 |
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+ | No log | 2.4773 | 218 | 1.1047 | 0.3268 | 1.1047 | 1.0510 |
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+ | No log | 2.5 | 220 | 1.1020 | 0.3327 | 1.1020 | 1.0497 |
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+ | No log | 2.5227 | 222 | 1.1068 | 0.3107 | 1.1068 | 1.0520 |
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+ | No log | 2.5455 | 224 | 1.0918 | 0.3107 | 1.0918 | 1.0449 |
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+ | No log | 2.5682 | 226 | 1.0567 | 0.3795 | 1.0567 | 1.0279 |
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+ | No log | 2.5909 | 228 | 1.0618 | 0.3764 | 1.0618 | 1.0304 |
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+ | No log | 2.6136 | 230 | 1.0122 | 0.4435 | 1.0122 | 1.0061 |
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+ | No log | 2.6364 | 232 | 1.0545 | 0.4045 | 1.0545 | 1.0269 |
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+ | No log | 2.6591 | 234 | 1.0840 | 0.3767 | 1.0840 | 1.0411 |
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+ | No log | 2.6818 | 236 | 1.0002 | 0.3930 | 1.0002 | 1.0001 |
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+ | No log | 2.7045 | 238 | 1.0173 | 0.3794 | 1.0173 | 1.0086 |
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+ | No log | 2.7273 | 240 | 1.1061 | 0.3705 | 1.1061 | 1.0517 |
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+ | No log | 2.75 | 242 | 1.0824 | 0.3645 | 1.0824 | 1.0404 |
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+ | No log | 2.7727 | 244 | 1.0424 | 0.3681 | 1.0424 | 1.0210 |
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+ | No log | 2.7955 | 246 | 1.0922 | 0.2943 | 1.0922 | 1.0451 |
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+ | No log | 2.8182 | 248 | 1.0943 | 0.3294 | 1.0943 | 1.0461 |
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+ | No log | 2.8409 | 250 | 1.0354 | 0.3382 | 1.0354 | 1.0176 |
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+ | No log | 2.8636 | 252 | 1.0265 | 0.3787 | 1.0265 | 1.0132 |
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+ | No log | 2.8864 | 254 | 1.0351 | 0.3337 | 1.0351 | 1.0174 |
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+ | No log | 2.9091 | 256 | 1.0659 | 0.3062 | 1.0659 | 1.0324 |
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+ | No log | 2.9318 | 258 | 1.0821 | 0.2728 | 1.0821 | 1.0402 |
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+ | No log | 2.9545 | 260 | 1.1079 | 0.2730 | 1.1079 | 1.0526 |
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+ | No log | 2.9773 | 262 | 1.2006 | 0.2581 | 1.2006 | 1.0957 |
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+ | No log | 3.0 | 264 | 1.1376 | 0.2871 | 1.1376 | 1.0666 |
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+ | No log | 3.0227 | 266 | 1.0623 | 0.3180 | 1.0623 | 1.0307 |
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+ | No log | 3.0455 | 268 | 1.0736 | 0.3733 | 1.0736 | 1.0362 |
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+ | No log | 3.0682 | 270 | 1.0782 | 0.3371 | 1.0782 | 1.0384 |
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+ | No log | 3.0909 | 272 | 1.0939 | 0.3627 | 1.0939 | 1.0459 |
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+ | No log | 3.1136 | 274 | 1.1038 | 0.3627 | 1.1038 | 1.0506 |
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+ | No log | 3.1364 | 276 | 1.1099 | 0.3483 | 1.1099 | 1.0535 |
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+ | No log | 3.1591 | 278 | 1.1498 | 0.2871 | 1.1498 | 1.0723 |
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+ | No log | 3.1818 | 280 | 1.1936 | 0.2501 | 1.1936 | 1.0925 |
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+ | No log | 3.2045 | 282 | 1.1324 | 0.3406 | 1.1324 | 1.0642 |
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+ | No log | 3.2273 | 284 | 1.1257 | 0.2908 | 1.1257 | 1.0610 |
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+ | No log | 3.25 | 286 | 1.1633 | 0.3530 | 1.1633 | 1.0786 |
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+ | No log | 3.2727 | 288 | 1.1327 | 0.2946 | 1.1327 | 1.0643 |
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+ | No log | 3.2955 | 290 | 1.1489 | 0.2918 | 1.1489 | 1.0719 |
197
+ | No log | 3.3182 | 292 | 1.1523 | 0.2964 | 1.1523 | 1.0735 |
198
+ | No log | 3.3409 | 294 | 1.1186 | 0.2785 | 1.1186 | 1.0576 |
199
+ | No log | 3.3636 | 296 | 1.1081 | 0.3249 | 1.1081 | 1.0527 |
200
+ | No log | 3.3864 | 298 | 1.1197 | 0.4064 | 1.1197 | 1.0581 |
201
+ | No log | 3.4091 | 300 | 1.1061 | 0.3388 | 1.1061 | 1.0517 |
202
+ | No log | 3.4318 | 302 | 1.1113 | 0.3208 | 1.1113 | 1.0542 |
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+ | No log | 3.4545 | 304 | 1.0887 | 0.2526 | 1.0887 | 1.0434 |
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+ | No log | 3.4773 | 306 | 1.1019 | 0.2438 | 1.1019 | 1.0497 |
205
+ | No log | 3.5 | 308 | 1.1225 | 0.2352 | 1.1225 | 1.0595 |
206
+ | No log | 3.5227 | 310 | 1.0962 | 0.2424 | 1.0962 | 1.0470 |
207
+ | No log | 3.5455 | 312 | 1.1072 | 0.3723 | 1.1072 | 1.0523 |
208
+ | No log | 3.5682 | 314 | 1.1840 | 0.2501 | 1.1840 | 1.0881 |
209
+ | No log | 3.5909 | 316 | 1.1756 | 0.2501 | 1.1756 | 1.0843 |
210
+ | No log | 3.6136 | 318 | 1.1761 | 0.2900 | 1.1761 | 1.0845 |
211
+ | No log | 3.6364 | 320 | 1.1409 | 0.3056 | 1.1409 | 1.0681 |
212
+ | No log | 3.6591 | 322 | 1.0976 | 0.2820 | 1.0976 | 1.0477 |
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+ | No log | 3.6818 | 324 | 1.0972 | 0.3352 | 1.0972 | 1.0475 |
214
+ | No log | 3.7045 | 326 | 1.1367 | 0.3119 | 1.1367 | 1.0662 |
215
+ | No log | 3.7273 | 328 | 1.1927 | 0.3243 | 1.1927 | 1.0921 |
216
+ | No log | 3.75 | 330 | 1.1309 | 0.3081 | 1.1309 | 1.0635 |
217
+ | No log | 3.7727 | 332 | 1.1194 | 0.3107 | 1.1194 | 1.0580 |
218
+ | No log | 3.7955 | 334 | 1.1370 | 0.3111 | 1.1370 | 1.0663 |
219
+ | No log | 3.8182 | 336 | 1.1553 | 0.2567 | 1.1553 | 1.0749 |
220
+ | No log | 3.8409 | 338 | 1.2077 | 0.2384 | 1.2077 | 1.0990 |
221
+ | No log | 3.8636 | 340 | 1.2336 | 0.2198 | 1.2336 | 1.1107 |
222
+ | No log | 3.8864 | 342 | 1.2352 | 0.2198 | 1.2352 | 1.1114 |
223
+ | No log | 3.9091 | 344 | 1.1664 | 0.2557 | 1.1664 | 1.0800 |
224
+ | No log | 3.9318 | 346 | 1.1454 | 0.2714 | 1.1454 | 1.0702 |
225
+ | No log | 3.9545 | 348 | 1.1126 | 0.3111 | 1.1126 | 1.0548 |
226
+ | No log | 3.9773 | 350 | 1.1187 | 0.3130 | 1.1187 | 1.0577 |
227
+ | No log | 4.0 | 352 | 1.1154 | 0.3542 | 1.1154 | 1.0561 |
228
+ | No log | 4.0227 | 354 | 1.1000 | 0.3965 | 1.1000 | 1.0488 |
229
+ | No log | 4.0455 | 356 | 1.1280 | 0.2964 | 1.1280 | 1.0621 |
230
+ | No log | 4.0682 | 358 | 1.0971 | 0.3354 | 1.0971 | 1.0474 |
231
+ | No log | 4.0909 | 360 | 1.1070 | 0.3354 | 1.1070 | 1.0521 |
232
+ | No log | 4.1136 | 362 | 1.1769 | 0.3189 | 1.1769 | 1.0848 |
233
+ | No log | 4.1364 | 364 | 1.1744 | 0.2742 | 1.1744 | 1.0837 |
234
+ | No log | 4.1591 | 366 | 1.1078 | 0.2969 | 1.1078 | 1.0525 |
235
+ | No log | 4.1818 | 368 | 1.1304 | 0.3021 | 1.1304 | 1.0632 |
236
+ | No log | 4.2045 | 370 | 1.2625 | 0.2875 | 1.2625 | 1.1236 |
237
+ | No log | 4.2273 | 372 | 1.2603 | 0.2851 | 1.2603 | 1.1226 |
238
+ | No log | 4.25 | 374 | 1.1417 | 0.2003 | 1.1417 | 1.0685 |
239
+ | No log | 4.2727 | 376 | 1.0578 | 0.2993 | 1.0578 | 1.0285 |
240
+ | No log | 4.2955 | 378 | 1.1564 | 0.2501 | 1.1564 | 1.0754 |
241
+ | No log | 4.3182 | 380 | 1.2339 | 0.2673 | 1.2339 | 1.1108 |
242
+ | No log | 4.3409 | 382 | 1.2237 | 0.2702 | 1.2237 | 1.1062 |
243
+ | No log | 4.3636 | 384 | 1.1670 | 0.3078 | 1.1670 | 1.0803 |
244
+ | No log | 4.3864 | 386 | 1.0945 | 0.2991 | 1.0945 | 1.0462 |
245
+ | No log | 4.4091 | 388 | 1.0849 | 0.2857 | 1.0849 | 1.0416 |
246
+ | No log | 4.4318 | 390 | 1.0900 | 0.3415 | 1.0900 | 1.0440 |
247
+ | No log | 4.4545 | 392 | 1.1395 | 0.2495 | 1.1395 | 1.0675 |
248
+ | No log | 4.4773 | 394 | 1.2079 | 0.2501 | 1.2079 | 1.0990 |
249
+ | No log | 4.5 | 396 | 1.1820 | 0.2544 | 1.1820 | 1.0872 |
250
+ | No log | 4.5227 | 398 | 1.1237 | 0.2158 | 1.1237 | 1.0600 |
251
+ | No log | 4.5455 | 400 | 1.1357 | 0.3415 | 1.1357 | 1.0657 |
252
+ | No log | 4.5682 | 402 | 1.2052 | 0.2959 | 1.2052 | 1.0978 |
253
+ | No log | 4.5909 | 404 | 1.2172 | 0.3271 | 1.2172 | 1.1033 |
254
+ | No log | 4.6136 | 406 | 1.1738 | 0.3491 | 1.1738 | 1.0834 |
255
+ | No log | 4.6364 | 408 | 1.1323 | 0.3491 | 1.1323 | 1.0641 |
256
+ | No log | 4.6591 | 410 | 1.0680 | 0.2904 | 1.0680 | 1.0334 |
257
+ | No log | 4.6818 | 412 | 1.0370 | 0.3448 | 1.0370 | 1.0183 |
258
+ | No log | 4.7045 | 414 | 1.0384 | 0.2991 | 1.0384 | 1.0190 |
259
+ | No log | 4.7273 | 416 | 1.0357 | 0.2897 | 1.0357 | 1.0177 |
260
+ | No log | 4.75 | 418 | 1.0121 | 0.3804 | 1.0121 | 1.0060 |
261
+ | No log | 4.7727 | 420 | 1.0169 | 0.3577 | 1.0169 | 1.0084 |
262
+ | No log | 4.7955 | 422 | 1.0781 | 0.3243 | 1.0781 | 1.0383 |
263
+ | No log | 4.8182 | 424 | 1.0628 | 0.3134 | 1.0628 | 1.0309 |
264
+ | No log | 4.8409 | 426 | 1.0032 | 0.3522 | 1.0032 | 1.0016 |
265
+ | No log | 4.8636 | 428 | 1.0461 | 0.2966 | 1.0461 | 1.0228 |
266
+ | No log | 4.8864 | 430 | 1.2827 | 0.3277 | 1.2827 | 1.1326 |
267
+ | No log | 4.9091 | 432 | 1.4441 | 0.2982 | 1.4441 | 1.2017 |
268
+ | No log | 4.9318 | 434 | 1.3780 | 0.2963 | 1.3780 | 1.1739 |
269
+ | No log | 4.9545 | 436 | 1.1868 | 0.2984 | 1.1868 | 1.0894 |
270
+ | No log | 4.9773 | 438 | 1.0266 | 0.4159 | 1.0266 | 1.0132 |
271
+ | No log | 5.0 | 440 | 1.0266 | 0.3564 | 1.0266 | 1.0132 |
272
+ | No log | 5.0227 | 442 | 1.0608 | 0.2998 | 1.0608 | 1.0300 |
273
+ | No log | 5.0455 | 444 | 1.0480 | 0.2871 | 1.0480 | 1.0237 |
274
+ | No log | 5.0682 | 446 | 1.0218 | 0.3345 | 1.0218 | 1.0109 |
275
+ | No log | 5.0909 | 448 | 1.0674 | 0.3250 | 1.0674 | 1.0332 |
276
+ | No log | 5.1136 | 450 | 1.1021 | 0.3321 | 1.1021 | 1.0498 |
277
+ | No log | 5.1364 | 452 | 1.0695 | 0.3648 | 1.0695 | 1.0342 |
278
+ | No log | 5.1591 | 454 | 1.0562 | 0.3596 | 1.0562 | 1.0277 |
279
+ | No log | 5.1818 | 456 | 1.0693 | 0.3621 | 1.0693 | 1.0341 |
280
+ | No log | 5.2045 | 458 | 1.0836 | 0.3352 | 1.0836 | 1.0410 |
281
+ | No log | 5.2273 | 460 | 1.0855 | 0.3327 | 1.0855 | 1.0419 |
282
+ | No log | 5.25 | 462 | 1.1108 | 0.3319 | 1.1108 | 1.0540 |
283
+ | No log | 5.2727 | 464 | 1.1853 | 0.2472 | 1.1853 | 1.0887 |
284
+ | No log | 5.2955 | 466 | 1.1880 | 0.2472 | 1.1880 | 1.0900 |
285
+ | No log | 5.3182 | 468 | 1.1341 | 0.2991 | 1.1341 | 1.0650 |
286
+ | No log | 5.3409 | 470 | 1.1100 | 0.3371 | 1.1100 | 1.0535 |
287
+ | No log | 5.3636 | 472 | 1.1104 | 0.3468 | 1.1104 | 1.0537 |
288
+ | No log | 5.3864 | 474 | 1.1167 | 0.2754 | 1.1167 | 1.0567 |
289
+ | No log | 5.4091 | 476 | 1.1173 | 0.3408 | 1.1173 | 1.0570 |
290
+ | No log | 5.4318 | 478 | 1.1478 | 0.2804 | 1.1478 | 1.0713 |
291
+ | No log | 5.4545 | 480 | 1.1658 | 0.2026 | 1.1658 | 1.0797 |
292
+ | No log | 5.4773 | 482 | 1.1978 | 0.2544 | 1.1978 | 1.0944 |
293
+ | No log | 5.5 | 484 | 1.2238 | 0.2685 | 1.2238 | 1.1063 |
294
+ | No log | 5.5227 | 486 | 1.2437 | 0.2640 | 1.2437 | 1.1152 |
295
+ | No log | 5.5455 | 488 | 1.2267 | 0.2732 | 1.2267 | 1.1076 |
296
+ | No log | 5.5682 | 490 | 1.1791 | 0.2544 | 1.1791 | 1.0858 |
297
+ | No log | 5.5909 | 492 | 1.1220 | 0.3090 | 1.1220 | 1.0593 |
298
+ | No log | 5.6136 | 494 | 1.1131 | 0.3042 | 1.1131 | 1.0550 |
299
+ | No log | 5.6364 | 496 | 1.1171 | 0.2643 | 1.1171 | 1.0569 |
300
+ | No log | 5.6591 | 498 | 1.1337 | 0.3458 | 1.1337 | 1.0648 |
301
+ | 0.348 | 5.6818 | 500 | 1.1611 | 0.3733 | 1.1611 | 1.0775 |
302
+ | 0.348 | 5.7045 | 502 | 1.1840 | 0.2759 | 1.1840 | 1.0881 |
303
+ | 0.348 | 5.7273 | 504 | 1.2457 | 0.3009 | 1.2457 | 1.1161 |
304
+ | 0.348 | 5.75 | 506 | 1.2907 | 0.2900 | 1.2907 | 1.1361 |
305
+ | 0.348 | 5.7727 | 508 | 1.3577 | 0.2540 | 1.3577 | 1.1652 |
306
+ | 0.348 | 5.7955 | 510 | 1.2870 | 0.2657 | 1.2870 | 1.1345 |
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
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+ }
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