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ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_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_usingALLEssays_FineTuningAraBERT_run3_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_usingALLEssays_FineTuningAraBERT_run3_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: 1.1210
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+ - Qwk: 0.3224
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+ - Mse: 1.1210
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+ - Rmse: 1.0588
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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 | 0.0328 | 2 | 4.6345 | 0.0010 | 4.6345 | 2.1528 |
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+ | No log | 0.0656 | 4 | 2.7673 | 0.0051 | 2.7673 | 1.6635 |
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+ | No log | 0.0984 | 6 | 2.4376 | -0.0233 | 2.4376 | 1.5613 |
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+ | No log | 0.1311 | 8 | 1.7047 | 0.0363 | 1.7047 | 1.3056 |
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+ | No log | 0.1639 | 10 | 1.3906 | 0.0766 | 1.3906 | 1.1792 |
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+ | No log | 0.1967 | 12 | 1.3565 | 0.0936 | 1.3565 | 1.1647 |
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+ | No log | 0.2295 | 14 | 1.2948 | 0.0205 | 1.2948 | 1.1379 |
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+ | No log | 0.2623 | 16 | 1.2746 | 0.1404 | 1.2746 | 1.1290 |
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+ | No log | 0.2951 | 18 | 1.3602 | 0.0205 | 1.3602 | 1.1663 |
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+ | No log | 0.3279 | 20 | 1.6265 | 0.0709 | 1.6265 | 1.2753 |
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+ | No log | 0.3607 | 22 | 1.8935 | 0.0959 | 1.8935 | 1.3760 |
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+ | No log | 0.3934 | 24 | 1.9776 | 0.1558 | 1.9776 | 1.4063 |
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+ | No log | 0.4262 | 26 | 1.7562 | 0.0227 | 1.7562 | 1.3252 |
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+ | No log | 0.4590 | 28 | 1.3303 | 0.0942 | 1.3303 | 1.1534 |
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+ | No log | 0.4918 | 30 | 1.2543 | 0.1921 | 1.2543 | 1.1200 |
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+ | No log | 0.5246 | 32 | 1.1429 | 0.2836 | 1.1429 | 1.0691 |
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+ | No log | 0.5574 | 34 | 1.1572 | 0.2289 | 1.1572 | 1.0757 |
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+ | No log | 0.5902 | 36 | 1.2933 | 0.1460 | 1.2933 | 1.1372 |
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+ | No log | 0.6230 | 38 | 1.4378 | 0.0858 | 1.4378 | 1.1991 |
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+ | No log | 0.6557 | 40 | 1.4163 | 0.0858 | 1.4163 | 1.1901 |
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+ | No log | 0.6885 | 42 | 1.3652 | 0.0647 | 1.3652 | 1.1684 |
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+ | No log | 0.7213 | 44 | 1.3738 | -0.0064 | 1.3738 | 1.1721 |
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+ | No log | 0.7541 | 46 | 1.2351 | 0.2108 | 1.2351 | 1.1113 |
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+ | No log | 0.7869 | 48 | 1.1643 | 0.3035 | 1.1643 | 1.0790 |
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+ | No log | 0.8197 | 50 | 1.0938 | 0.2714 | 1.0938 | 1.0458 |
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+ | No log | 0.8525 | 52 | 1.1285 | 0.2265 | 1.1285 | 1.0623 |
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+ | No log | 0.8852 | 54 | 1.2905 | 0.2876 | 1.2905 | 1.1360 |
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+ | No log | 0.9180 | 56 | 1.2179 | 0.2169 | 1.2179 | 1.1036 |
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+ | No log | 0.9508 | 58 | 1.2147 | 0.3059 | 1.2147 | 1.1022 |
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+ | No log | 0.9836 | 60 | 1.2335 | 0.2395 | 1.2335 | 1.1106 |
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+ | No log | 1.0164 | 62 | 1.2502 | 0.2439 | 1.2502 | 1.1181 |
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+ | No log | 1.0492 | 64 | 1.2268 | 0.3083 | 1.2268 | 1.1076 |
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+ | No log | 1.0820 | 66 | 1.2649 | 0.2245 | 1.2649 | 1.1247 |
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+ | No log | 1.1148 | 68 | 1.3133 | 0.2245 | 1.3133 | 1.1460 |
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+ | No log | 1.1475 | 70 | 1.3148 | 0.2245 | 1.3148 | 1.1467 |
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+ | No log | 1.1803 | 72 | 1.3268 | 0.1379 | 1.3268 | 1.1519 |
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+ | No log | 1.2131 | 74 | 1.2474 | 0.1809 | 1.2474 | 1.1169 |
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+ | No log | 1.2459 | 76 | 1.1227 | 0.2886 | 1.1227 | 1.0596 |
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+ | No log | 1.2787 | 78 | 1.0558 | 0.3603 | 1.0558 | 1.0275 |
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+ | No log | 1.3115 | 80 | 1.0780 | 0.3797 | 1.0780 | 1.0383 |
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+ | No log | 1.3443 | 82 | 1.1397 | 0.2342 | 1.1397 | 1.0676 |
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+ | No log | 1.3770 | 84 | 1.3485 | 0.1255 | 1.3485 | 1.1612 |
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+ | No log | 1.4098 | 86 | 1.5396 | 0.0099 | 1.5396 | 1.2408 |
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+ | No log | 1.4426 | 88 | 1.5663 | 0.0456 | 1.5663 | 1.2515 |
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+ | No log | 1.4754 | 90 | 1.4873 | 0.0757 | 1.4873 | 1.2195 |
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+ | No log | 1.5082 | 92 | 1.2563 | 0.1865 | 1.2563 | 1.1209 |
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+ | No log | 1.5410 | 94 | 1.0946 | 0.3590 | 1.0946 | 1.0462 |
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+ | No log | 1.5738 | 96 | 1.0792 | 0.3291 | 1.0792 | 1.0389 |
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+ | No log | 1.6066 | 98 | 1.0938 | 0.3441 | 1.0938 | 1.0459 |
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+ | No log | 1.6393 | 100 | 1.0896 | 0.3441 | 1.0896 | 1.0439 |
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+ | No log | 1.6721 | 102 | 1.1649 | 0.2984 | 1.1649 | 1.0793 |
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+ | No log | 1.7049 | 104 | 1.3764 | 0.2115 | 1.3764 | 1.1732 |
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+ | No log | 1.7377 | 106 | 1.4960 | 0.1569 | 1.4960 | 1.2231 |
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+ | No log | 1.7705 | 108 | 1.3491 | 0.2252 | 1.3491 | 1.1615 |
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+ | No log | 1.8033 | 110 | 1.1378 | 0.2885 | 1.1378 | 1.0667 |
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+ | No log | 1.8361 | 112 | 1.0339 | 0.3431 | 1.0339 | 1.0168 |
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+ | No log | 1.8689 | 114 | 0.9635 | 0.3441 | 0.9635 | 0.9816 |
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+ | No log | 1.9016 | 116 | 0.9738 | 0.3590 | 0.9738 | 0.9868 |
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+ | No log | 1.9344 | 118 | 1.1322 | 0.3083 | 1.1322 | 1.0641 |
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+ | No log | 1.9672 | 120 | 1.2354 | 0.3056 | 1.2354 | 1.1115 |
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+ | No log | 2.0 | 122 | 1.2397 | 0.2721 | 1.2397 | 1.1134 |
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+ | No log | 2.0328 | 124 | 1.1536 | 0.2787 | 1.1536 | 1.0740 |
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+ | No log | 2.0656 | 126 | 1.0517 | 0.3056 | 1.0517 | 1.0255 |
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+ | No log | 2.0984 | 128 | 1.0113 | 0.3644 | 1.0113 | 1.0056 |
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+ | No log | 2.1311 | 130 | 0.9536 | 0.3644 | 0.9536 | 0.9765 |
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+ | No log | 2.1639 | 132 | 0.9855 | 0.3462 | 0.9855 | 0.9927 |
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+ | No log | 2.1967 | 134 | 1.2438 | 0.2385 | 1.2438 | 1.1153 |
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+ | No log | 2.2295 | 136 | 1.3342 | 0.1674 | 1.3342 | 1.1551 |
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+ | No log | 2.2623 | 138 | 1.1495 | 0.2570 | 1.1495 | 1.0721 |
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+ | No log | 2.2951 | 140 | 1.0036 | 0.3499 | 1.0036 | 1.0018 |
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+ | No log | 2.3279 | 142 | 0.9788 | 0.3395 | 0.9788 | 0.9894 |
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+ | No log | 2.3607 | 144 | 1.0220 | 0.2917 | 1.0220 | 1.0109 |
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+ | No log | 2.3934 | 146 | 1.1394 | 0.3218 | 1.1394 | 1.0674 |
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+ | No log | 2.4262 | 148 | 1.0982 | 0.3330 | 1.0982 | 1.0479 |
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+ | No log | 2.4590 | 150 | 1.0265 | 0.3480 | 1.0265 | 1.0132 |
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+ | No log | 2.4918 | 152 | 1.1205 | 0.3117 | 1.1205 | 1.0585 |
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+ | No log | 2.5246 | 154 | 1.2475 | 0.2807 | 1.2475 | 1.1169 |
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+ | No log | 2.5574 | 156 | 1.3023 | 0.2815 | 1.3023 | 1.1412 |
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+ | No log | 2.5902 | 158 | 1.1388 | 0.3117 | 1.1388 | 1.0671 |
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+ | No log | 2.6230 | 160 | 1.0490 | 0.3572 | 1.0490 | 1.0242 |
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+ | No log | 2.6557 | 162 | 0.9891 | 0.3956 | 0.9891 | 0.9946 |
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+ | No log | 2.6885 | 164 | 0.9548 | 0.3697 | 0.9548 | 0.9772 |
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+ | No log | 2.7213 | 166 | 0.9864 | 0.4303 | 0.9864 | 0.9932 |
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+ | No log | 2.7541 | 168 | 1.0538 | 0.3798 | 1.0538 | 1.0266 |
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+ | No log | 2.7869 | 170 | 1.0700 | 0.3798 | 1.0700 | 1.0344 |
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+ | No log | 2.8197 | 172 | 1.0078 | 0.3902 | 1.0078 | 1.0039 |
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+ | No log | 2.8525 | 174 | 0.9524 | 0.4361 | 0.9524 | 0.9759 |
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+ | No log | 2.8852 | 176 | 0.9415 | 0.4064 | 0.9415 | 0.9703 |
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+ | No log | 2.9180 | 178 | 1.0031 | 0.3294 | 1.0031 | 1.0015 |
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+ | No log | 2.9508 | 180 | 1.0864 | 0.3033 | 1.0864 | 1.0423 |
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+ | No log | 2.9836 | 182 | 1.2334 | 0.2674 | 1.2334 | 1.1106 |
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+ | No log | 3.0164 | 184 | 1.2644 | 0.2424 | 1.2644 | 1.1245 |
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+ | No log | 3.0492 | 186 | 1.0483 | 0.3218 | 1.0483 | 1.0239 |
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+ | No log | 3.0820 | 188 | 0.9205 | 0.4704 | 0.9205 | 0.9594 |
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+ | No log | 3.1148 | 190 | 0.8588 | 0.3715 | 0.8588 | 0.9267 |
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+ | No log | 3.1475 | 192 | 0.9021 | 0.4676 | 0.9021 | 0.9498 |
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+ | No log | 3.1803 | 194 | 0.9621 | 0.3837 | 0.9621 | 0.9809 |
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+ | No log | 3.2131 | 196 | 1.0129 | 0.3436 | 1.0129 | 1.0064 |
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+ | No log | 3.2459 | 198 | 1.0705 | 0.4273 | 1.0705 | 1.0346 |
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+ | No log | 3.2787 | 200 | 1.1506 | 0.4146 | 1.1506 | 1.0727 |
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+ | No log | 3.3115 | 202 | 1.1779 | 0.3145 | 1.1779 | 1.0853 |
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+ | No log | 3.3443 | 204 | 1.2710 | 0.1702 | 1.2710 | 1.1274 |
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+ | No log | 3.3770 | 206 | 1.4084 | 0.2228 | 1.4084 | 1.1868 |
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+ | No log | 3.4098 | 208 | 1.3239 | 0.1578 | 1.3239 | 1.1506 |
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+ | No log | 3.4426 | 210 | 1.2399 | 0.1659 | 1.2399 | 1.1135 |
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+ | No log | 3.4754 | 212 | 1.1548 | 0.2887 | 1.1548 | 1.0746 |
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+ | No log | 3.5082 | 214 | 1.1619 | 0.2350 | 1.1619 | 1.0779 |
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+ | No log | 3.5410 | 216 | 1.2205 | 0.1878 | 1.2205 | 1.1048 |
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+ | No log | 3.5738 | 218 | 1.3072 | 0.1711 | 1.3072 | 1.1433 |
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+ | No log | 3.6066 | 220 | 1.2633 | 0.1711 | 1.2633 | 1.1240 |
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+ | No log | 3.6393 | 222 | 1.1212 | 0.3125 | 1.1212 | 1.0589 |
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+ | No log | 3.6721 | 224 | 1.0341 | 0.3418 | 1.0341 | 1.0169 |
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+ | No log | 3.7049 | 226 | 0.9995 | 0.3529 | 0.9995 | 0.9997 |
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+ | No log | 3.7377 | 228 | 1.0967 | 0.3430 | 1.0967 | 1.0472 |
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+ | No log | 3.7705 | 230 | 1.0445 | 0.3805 | 1.0445 | 1.0220 |
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+ | No log | 3.8033 | 232 | 1.0644 | 0.2943 | 1.0644 | 1.0317 |
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+ | No log | 3.8361 | 234 | 1.1303 | 0.2335 | 1.1303 | 1.0632 |
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+ | No log | 3.8689 | 236 | 1.0892 | 0.2857 | 1.0892 | 1.0437 |
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+ | No log | 3.9016 | 238 | 1.0995 | 0.4639 | 1.0995 | 1.0486 |
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+ | No log | 3.9344 | 240 | 1.0840 | 0.4202 | 1.0840 | 1.0411 |
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+ | No log | 3.9672 | 242 | 1.1073 | 0.2546 | 1.1073 | 1.0523 |
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+ | No log | 4.0 | 244 | 1.2572 | 0.2320 | 1.2572 | 1.1212 |
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+ | No log | 4.0328 | 246 | 1.3258 | 0.2266 | 1.3258 | 1.1514 |
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+ | No log | 4.0656 | 248 | 1.2516 | 0.2770 | 1.2516 | 1.1188 |
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+ | No log | 4.0984 | 250 | 1.1829 | 0.1921 | 1.1829 | 1.0876 |
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+ | No log | 4.1311 | 252 | 1.1935 | 0.2327 | 1.1935 | 1.0925 |
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+ | No log | 4.1639 | 254 | 1.1549 | 0.3016 | 1.1549 | 1.0746 |
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+ | No log | 4.1967 | 256 | 1.1115 | 0.3858 | 1.1115 | 1.0543 |
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+ | No log | 4.2295 | 258 | 1.1122 | 0.2728 | 1.1122 | 1.0546 |
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+ | No log | 4.2623 | 260 | 1.1658 | 0.2748 | 1.1658 | 1.0797 |
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+ | No log | 4.2951 | 262 | 1.1569 | 0.2748 | 1.1569 | 1.0756 |
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+ | No log | 4.3279 | 264 | 1.0926 | 0.3614 | 1.0926 | 1.0453 |
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+ | No log | 4.3607 | 266 | 1.0560 | 0.3130 | 1.0560 | 1.0276 |
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+ | No log | 4.3934 | 268 | 1.0757 | 0.3276 | 1.0757 | 1.0372 |
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+ | No log | 4.4262 | 270 | 1.0563 | 0.3276 | 1.0563 | 1.0278 |
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+ | No log | 4.4590 | 272 | 1.0286 | 0.3996 | 1.0286 | 1.0142 |
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+ | No log | 4.4918 | 274 | 1.0722 | 0.3237 | 1.0722 | 1.0355 |
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+ | No log | 4.5246 | 276 | 1.0178 | 0.3602 | 1.0178 | 1.0088 |
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+ | No log | 4.5574 | 278 | 0.9958 | 0.4054 | 0.9958 | 0.9979 |
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+ | No log | 4.5902 | 280 | 1.0208 | 0.3848 | 1.0208 | 1.0104 |
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+ | No log | 4.6230 | 282 | 1.1238 | 0.3009 | 1.1238 | 1.0601 |
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+ | No log | 4.6557 | 284 | 1.2107 | 0.2748 | 1.2107 | 1.1003 |
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+ | No log | 4.6885 | 286 | 1.2292 | 0.2366 | 1.2292 | 1.1087 |
195
+ | No log | 4.7213 | 288 | 1.2590 | 0.1889 | 1.2590 | 1.1221 |
196
+ | No log | 4.7541 | 290 | 1.3455 | 0.1950 | 1.3455 | 1.1600 |
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+ | No log | 4.7869 | 292 | 1.3630 | 0.1720 | 1.3630 | 1.1675 |
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+ | No log | 4.8197 | 294 | 1.3011 | 0.2026 | 1.3011 | 1.1407 |
199
+ | No log | 4.8525 | 296 | 1.2257 | 0.1737 | 1.2257 | 1.1071 |
200
+ | No log | 4.8852 | 298 | 1.2117 | 0.1557 | 1.2117 | 1.1008 |
201
+ | No log | 4.9180 | 300 | 1.2360 | 0.1935 | 1.2360 | 1.1118 |
202
+ | No log | 4.9508 | 302 | 1.2786 | 0.2308 | 1.2786 | 1.1308 |
203
+ | No log | 4.9836 | 304 | 1.1787 | 0.2519 | 1.1787 | 1.0857 |
204
+ | No log | 5.0164 | 306 | 1.0898 | 0.2750 | 1.0898 | 1.0439 |
205
+ | No log | 5.0492 | 308 | 1.0190 | 0.3418 | 1.0190 | 1.0094 |
206
+ | No log | 5.0820 | 310 | 1.0022 | 0.2677 | 1.0022 | 1.0011 |
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+ | No log | 5.1148 | 312 | 1.0932 | 0.3805 | 1.0932 | 1.0456 |
208
+ | No log | 5.1475 | 314 | 1.1641 | 0.3255 | 1.1641 | 1.0789 |
209
+ | No log | 5.1803 | 316 | 1.1074 | 0.3397 | 1.1074 | 1.0523 |
210
+ | No log | 5.2131 | 318 | 1.0736 | 0.3960 | 1.0736 | 1.0361 |
211
+ | No log | 5.2459 | 320 | 1.0623 | 0.3584 | 1.0623 | 1.0307 |
212
+ | No log | 5.2787 | 322 | 1.1203 | 0.3626 | 1.1203 | 1.0585 |
213
+ | No log | 5.3115 | 324 | 1.1692 | 0.2511 | 1.1692 | 1.0813 |
214
+ | No log | 5.3443 | 326 | 1.1686 | 0.2871 | 1.1686 | 1.0810 |
215
+ | No log | 5.3770 | 328 | 1.2371 | 0.2605 | 1.2371 | 1.1123 |
216
+ | No log | 5.4098 | 330 | 1.2846 | 0.2130 | 1.2846 | 1.1334 |
217
+ | No log | 5.4426 | 332 | 1.2497 | 0.2021 | 1.2497 | 1.1179 |
218
+ | No log | 5.4754 | 334 | 1.1882 | 0.2823 | 1.1882 | 1.0900 |
219
+ | No log | 5.5082 | 336 | 1.1978 | 0.2210 | 1.1978 | 1.0945 |
220
+ | No log | 5.5410 | 338 | 1.2450 | 0.2221 | 1.2450 | 1.1158 |
221
+ | No log | 5.5738 | 340 | 1.2243 | 0.2221 | 1.2243 | 1.1065 |
222
+ | No log | 5.6066 | 342 | 1.1753 | 0.2021 | 1.1753 | 1.0841 |
223
+ | No log | 5.6393 | 344 | 1.1953 | 0.2221 | 1.1953 | 1.0933 |
224
+ | No log | 5.6721 | 346 | 1.2115 | 0.2403 | 1.2115 | 1.1007 |
225
+ | No log | 5.7049 | 348 | 1.1371 | 0.2505 | 1.1371 | 1.0664 |
226
+ | No log | 5.7377 | 350 | 1.1358 | 0.2410 | 1.1358 | 1.0657 |
227
+ | No log | 5.7705 | 352 | 1.0986 | 0.2785 | 1.0986 | 1.0481 |
228
+ | No log | 5.8033 | 354 | 1.1040 | 0.2466 | 1.1040 | 1.0507 |
229
+ | No log | 5.8361 | 356 | 1.1395 | 0.2730 | 1.1395 | 1.0675 |
230
+ | No log | 5.8689 | 358 | 1.1722 | 0.2511 | 1.1722 | 1.0827 |
231
+ | No log | 5.9016 | 360 | 1.1693 | 0.2891 | 1.1693 | 1.0814 |
232
+ | No log | 5.9344 | 362 | 1.0803 | 0.3108 | 1.0803 | 1.0394 |
233
+ | No log | 5.9672 | 364 | 1.0678 | 0.2871 | 1.0678 | 1.0333 |
234
+ | No log | 6.0 | 366 | 1.0804 | 0.2643 | 1.0804 | 1.0394 |
235
+ | No log | 6.0328 | 368 | 1.1359 | 0.2358 | 1.1359 | 1.0658 |
236
+ | No log | 6.0656 | 370 | 1.2528 | 0.2088 | 1.2528 | 1.1193 |
237
+ | No log | 6.0984 | 372 | 1.3977 | 0.0975 | 1.3977 | 1.1823 |
238
+ | No log | 6.1311 | 374 | 1.4412 | 0.1202 | 1.4412 | 1.2005 |
239
+ | No log | 6.1639 | 376 | 1.3388 | 0.0939 | 1.3388 | 1.1571 |
240
+ | No log | 6.1967 | 378 | 1.1447 | 0.2918 | 1.1447 | 1.0699 |
241
+ | No log | 6.2295 | 380 | 1.0843 | 0.3263 | 1.0843 | 1.0413 |
242
+ | No log | 6.2623 | 382 | 1.0812 | 0.3042 | 1.0812 | 1.0398 |
243
+ | No log | 6.2951 | 384 | 1.0545 | 0.3652 | 1.0545 | 1.0269 |
244
+ | No log | 6.3279 | 386 | 1.1100 | 0.2263 | 1.1100 | 1.0536 |
245
+ | No log | 6.3607 | 388 | 1.3027 | 0.2718 | 1.3027 | 1.1414 |
246
+ | No log | 6.3934 | 390 | 1.3702 | 0.2350 | 1.3702 | 1.1706 |
247
+ | No log | 6.4262 | 392 | 1.2627 | 0.3070 | 1.2627 | 1.1237 |
248
+ | No log | 6.4590 | 394 | 1.1418 | 0.2210 | 1.1418 | 1.0685 |
249
+ | No log | 6.4918 | 396 | 1.1068 | 0.3943 | 1.1068 | 1.0521 |
250
+ | No log | 6.5246 | 398 | 1.1294 | 0.3833 | 1.1294 | 1.0627 |
251
+ | No log | 6.5574 | 400 | 1.1420 | 0.3724 | 1.1420 | 1.0687 |
252
+ | No log | 6.5902 | 402 | 1.1916 | 0.2446 | 1.1916 | 1.0916 |
253
+ | No log | 6.6230 | 404 | 1.2485 | 0.1943 | 1.2485 | 1.1173 |
254
+ | No log | 6.6557 | 406 | 1.2046 | 0.2299 | 1.2046 | 1.0975 |
255
+ | No log | 6.6885 | 408 | 1.1356 | 0.3458 | 1.1356 | 1.0656 |
256
+ | No log | 6.7213 | 410 | 1.1182 | 0.3534 | 1.1182 | 1.0575 |
257
+ | No log | 6.7541 | 412 | 1.1407 | 0.3886 | 1.1407 | 1.0680 |
258
+ | No log | 6.7869 | 414 | 1.1280 | 0.3794 | 1.1280 | 1.0621 |
259
+ | No log | 6.8197 | 416 | 1.1182 | 0.2691 | 1.1182 | 1.0575 |
260
+ | No log | 6.8525 | 418 | 1.1385 | 0.2474 | 1.1385 | 1.0670 |
261
+ | No log | 6.8852 | 420 | 1.1410 | 0.2474 | 1.1410 | 1.0682 |
262
+ | No log | 6.9180 | 422 | 1.1211 | 0.3155 | 1.1211 | 1.0588 |
263
+ | No log | 6.9508 | 424 | 1.0951 | 0.3017 | 1.0951 | 1.0465 |
264
+ | No log | 6.9836 | 426 | 1.0720 | 0.3344 | 1.0720 | 1.0354 |
265
+ | No log | 7.0164 | 428 | 1.0475 | 0.3695 | 1.0475 | 1.0235 |
266
+ | No log | 7.0492 | 430 | 1.0436 | 0.3584 | 1.0436 | 1.0215 |
267
+ | No log | 7.0820 | 432 | 1.0891 | 0.2824 | 1.0891 | 1.0436 |
268
+ | No log | 7.1148 | 434 | 1.0587 | 0.2963 | 1.0587 | 1.0289 |
269
+ | No log | 7.1475 | 436 | 0.9894 | 0.3013 | 0.9894 | 0.9947 |
270
+ | No log | 7.1803 | 438 | 0.9512 | 0.3925 | 0.9512 | 0.9753 |
271
+ | No log | 7.2131 | 440 | 0.9449 | 0.4142 | 0.9449 | 0.9721 |
272
+ | No log | 7.2459 | 442 | 0.9703 | 0.4280 | 0.9703 | 0.9850 |
273
+ | No log | 7.2787 | 444 | 1.0403 | 0.3979 | 1.0403 | 1.0200 |
274
+ | No log | 7.3115 | 446 | 1.1202 | 0.3108 | 1.1202 | 1.0584 |
275
+ | No log | 7.3443 | 448 | 1.2281 | 0.2452 | 1.2281 | 1.1082 |
276
+ | No log | 7.3770 | 450 | 1.3111 | 0.1545 | 1.3111 | 1.1450 |
277
+ | No log | 7.4098 | 452 | 1.2161 | 0.2593 | 1.2161 | 1.1028 |
278
+ | No log | 7.4426 | 454 | 1.0568 | 0.2823 | 1.0568 | 1.0280 |
279
+ | No log | 7.4754 | 456 | 0.9978 | 0.3596 | 0.9978 | 0.9989 |
280
+ | No log | 7.5082 | 458 | 0.9978 | 0.3780 | 0.9978 | 0.9989 |
281
+ | No log | 7.5410 | 460 | 0.9968 | 0.3681 | 0.9968 | 0.9984 |
282
+ | No log | 7.5738 | 462 | 0.9929 | 0.3733 | 0.9929 | 0.9964 |
283
+ | No log | 7.6066 | 464 | 0.9641 | 0.4061 | 0.9641 | 0.9819 |
284
+ | No log | 7.6393 | 466 | 0.9523 | 0.4393 | 0.9523 | 0.9759 |
285
+ | No log | 7.6721 | 468 | 0.9600 | 0.4023 | 0.9600 | 0.9798 |
286
+ | No log | 7.7049 | 470 | 0.9714 | 0.4393 | 0.9714 | 0.9856 |
287
+ | No log | 7.7377 | 472 | 0.9812 | 0.4061 | 0.9812 | 0.9905 |
288
+ | No log | 7.7705 | 474 | 1.0322 | 0.2964 | 1.0322 | 1.0160 |
289
+ | No log | 7.8033 | 476 | 1.0862 | 0.2169 | 1.0862 | 1.0422 |
290
+ | No log | 7.8361 | 478 | 1.1132 | 0.1920 | 1.1132 | 1.0551 |
291
+ | No log | 7.8689 | 480 | 1.1310 | 0.2877 | 1.1310 | 1.0635 |
292
+ | No log | 7.9016 | 482 | 1.1927 | 0.3146 | 1.1927 | 1.0921 |
293
+ | No log | 7.9344 | 484 | 1.2000 | 0.3469 | 1.2000 | 1.0955 |
294
+ | No log | 7.9672 | 486 | 1.1613 | 0.2709 | 1.1613 | 1.0777 |
295
+ | No log | 8.0 | 488 | 1.1883 | 0.1928 | 1.1883 | 1.0901 |
296
+ | No log | 8.0328 | 490 | 1.1795 | 0.1982 | 1.1795 | 1.0860 |
297
+ | No log | 8.0656 | 492 | 1.1080 | 0.2697 | 1.1080 | 1.0526 |
298
+ | No log | 8.0984 | 494 | 1.0660 | 0.3650 | 1.0660 | 1.0325 |
299
+ | No log | 8.1311 | 496 | 1.0452 | 0.3650 | 1.0452 | 1.0223 |
300
+ | No log | 8.1639 | 498 | 1.0486 | 0.2966 | 1.0486 | 1.0240 |
301
+ | 0.3741 | 8.1967 | 500 | 1.0541 | 0.3224 | 1.0541 | 1.0267 |
302
+ | 0.3741 | 8.2295 | 502 | 1.0769 | 0.2877 | 1.0769 | 1.0378 |
303
+ | 0.3741 | 8.2623 | 504 | 1.1050 | 0.2877 | 1.1050 | 1.0512 |
304
+ | 0.3741 | 8.2951 | 506 | 1.1325 | 0.2877 | 1.1325 | 1.0642 |
305
+ | 0.3741 | 8.3279 | 508 | 1.1361 | 0.2785 | 1.1361 | 1.0659 |
306
+ | 0.3741 | 8.3607 | 510 | 1.1210 | 0.3224 | 1.1210 | 1.0588 |
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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