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ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold0

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@@ -5,21 +5,21 @@ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: ASAP_FineTuningBERT_AugV5_k1_task1_organization_fold4
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  results: []
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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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- # ASAP_FineTuningBERT_AugV5_k1_task1_organization_fold4
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8594
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- - Qwk: 0.3031
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- - Mse: 0.8594
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- - Rmse: 0.9270
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  ## Model description
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@@ -50,56 +50,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
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- | No log | 2.0 | 2 | 9.7069 | 0.0018 | 9.7069 | 3.1156 |
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- | No log | 4.0 | 4 | 8.0136 | 0.0018 | 8.0136 | 2.8308 |
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- | No log | 6.0 | 6 | 6.4826 | 0.0018 | 6.4826 | 2.5461 |
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- | No log | 8.0 | 8 | 5.2953 | 0.0408 | 5.2953 | 2.3011 |
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- | 5.0186 | 10.0 | 10 | 4.1384 | 0.0118 | 4.1384 | 2.0343 |
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- | 5.0186 | 12.0 | 12 | 3.5945 | 0.0118 | 3.5945 | 1.8959 |
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- | 5.0186 | 14.0 | 14 | 2.7705 | 0.0040 | 2.7705 | 1.6645 |
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- | 5.0186 | 16.0 | 16 | 2.2841 | 0.1614 | 2.2841 | 1.5113 |
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- | 5.0186 | 18.0 | 18 | 2.1905 | 0.1047 | 2.1905 | 1.4800 |
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- | 2.1604 | 20.0 | 20 | 1.6308 | 0.0420 | 1.6308 | 1.2770 |
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- | 2.1604 | 22.0 | 22 | 1.5246 | 0.0420 | 1.5246 | 1.2347 |
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- | 2.1604 | 24.0 | 24 | 1.3066 | 0.0316 | 1.3066 | 1.1431 |
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- | 2.1604 | 26.0 | 26 | 1.3203 | 0.0420 | 1.3203 | 1.1490 |
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- | 2.1604 | 28.0 | 28 | 1.4331 | 0.0420 | 1.4331 | 1.1971 |
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- | 1.7805 | 30.0 | 30 | 1.6501 | 0.0342 | 1.6501 | 1.2846 |
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- | 1.7805 | 32.0 | 32 | 1.6684 | 0.0381 | 1.6684 | 1.2917 |
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- | 1.7805 | 34.0 | 34 | 1.4198 | 0.0445 | 1.4198 | 1.1915 |
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- | 1.7805 | 36.0 | 36 | 1.4007 | 0.0456 | 1.4007 | 1.1835 |
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- | 1.7805 | 38.0 | 38 | 1.3889 | 0.0656 | 1.3889 | 1.1785 |
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- | 1.4513 | 40.0 | 40 | 1.3126 | 0.0697 | 1.3126 | 1.1457 |
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- | 1.4513 | 42.0 | 42 | 1.1941 | 0.0571 | 1.1941 | 1.0927 |
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- | 1.4513 | 44.0 | 44 | 1.1476 | 0.0748 | 1.1476 | 1.0713 |
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- | 1.4513 | 46.0 | 46 | 1.0208 | 0.1117 | 1.0208 | 1.0104 |
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- | 1.4513 | 48.0 | 48 | 1.2392 | 0.1751 | 1.2392 | 1.1132 |
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- | 0.8434 | 50.0 | 50 | 1.3578 | 0.1877 | 1.3578 | 1.1652 |
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- | 0.8434 | 52.0 | 52 | 1.0215 | 0.2745 | 1.0215 | 1.0107 |
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- | 0.8434 | 54.0 | 54 | 1.0940 | 0.2982 | 1.0940 | 1.0459 |
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- | 0.8434 | 56.0 | 56 | 0.9441 | 0.3156 | 0.9441 | 0.9717 |
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- | 0.8434 | 58.0 | 58 | 1.0797 | 0.3110 | 1.0797 | 1.0391 |
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- | 0.4526 | 60.0 | 60 | 0.9811 | 0.3059 | 0.9811 | 0.9905 |
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- | 0.4526 | 62.0 | 62 | 0.9059 | 0.3465 | 0.9059 | 0.9518 |
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- | 0.4526 | 64.0 | 64 | 0.9486 | 0.3205 | 0.9486 | 0.9740 |
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- | 0.4526 | 66.0 | 66 | 0.7783 | 0.3387 | 0.7783 | 0.8822 |
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- | 0.4526 | 68.0 | 68 | 0.8113 | 0.3253 | 0.8113 | 0.9007 |
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- | 0.2944 | 70.0 | 70 | 1.0263 | 0.3179 | 1.0263 | 1.0130 |
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- | 0.2944 | 72.0 | 72 | 0.8863 | 0.3409 | 0.8863 | 0.9414 |
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- | 0.2944 | 74.0 | 74 | 0.7964 | 0.3267 | 0.7964 | 0.8924 |
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- | 0.2944 | 76.0 | 76 | 0.8521 | 0.3294 | 0.8521 | 0.9231 |
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- | 0.2944 | 78.0 | 78 | 0.9574 | 0.3250 | 0.9574 | 0.9784 |
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- | 0.211 | 80.0 | 80 | 0.8926 | 0.3277 | 0.8926 | 0.9448 |
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- | 0.211 | 82.0 | 82 | 0.8061 | 0.3094 | 0.8061 | 0.8979 |
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- | 0.211 | 84.0 | 84 | 0.8071 | 0.3123 | 0.8071 | 0.8984 |
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- | 0.211 | 86.0 | 86 | 0.8848 | 0.3151 | 0.8848 | 0.9407 |
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- | 0.211 | 88.0 | 88 | 0.9816 | 0.3239 | 0.9816 | 0.9908 |
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- | 0.1858 | 90.0 | 90 | 0.9544 | 0.3360 | 0.9544 | 0.9769 |
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- | 0.1858 | 92.0 | 92 | 0.8603 | 0.3031 | 0.8603 | 0.9275 |
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- | 0.1858 | 94.0 | 94 | 0.8166 | 0.3222 | 0.8166 | 0.9037 |
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- | 0.1858 | 96.0 | 96 | 0.8203 | 0.3250 | 0.8203 | 0.9057 |
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- | 0.1858 | 98.0 | 98 | 0.8426 | 0.3140 | 0.8426 | 0.9179 |
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- | 0.1627 | 100.0 | 100 | 0.8594 | 0.3031 | 0.8594 | 0.9270 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold0
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  results: []
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  ---
11
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
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+ # ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold0
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5672
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+ - Qwk: 0.1569
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+ - Mse: 2.5672
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+ - Rmse: 1.6023
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
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+ | No log | 1.0 | 2 | 8.9837 | 0.0 | 8.9837 | 2.9973 |
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+ | No log | 2.0 | 4 | 7.5886 | 0.0 | 7.5886 | 2.7547 |
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+ | No log | 3.0 | 6 | 6.7933 | 0.0 | 6.7933 | 2.6064 |
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+ | No log | 4.0 | 8 | 5.9019 | 0.0334 | 5.9019 | 2.4294 |
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+ | 4.9726 | 5.0 | 10 | 5.0055 | 0.0115 | 5.0055 | 2.2373 |
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+ | 4.9726 | 6.0 | 12 | 4.2886 | 0.0039 | 4.2886 | 2.0709 |
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+ | 4.9726 | 7.0 | 14 | 3.4374 | 0.0 | 3.4374 | 1.8540 |
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+ | 4.9726 | 8.0 | 16 | 2.7480 | 0.0 | 2.7480 | 1.6577 |
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+ | 4.9726 | 9.0 | 18 | 2.1294 | 0.0689 | 2.1294 | 1.4592 |
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+ | 2.3566 | 10.0 | 20 | 1.9136 | 0.0664 | 1.9136 | 1.3833 |
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+ | 2.3566 | 11.0 | 22 | 1.6575 | 0.0316 | 1.6575 | 1.2875 |
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+ | 2.3566 | 12.0 | 24 | 1.5791 | 0.0316 | 1.5791 | 1.2566 |
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+ | 2.3566 | 13.0 | 26 | 1.5508 | 0.0316 | 1.5508 | 1.2453 |
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+ | 2.3566 | 14.0 | 28 | 2.2890 | 0.1589 | 2.2890 | 1.5129 |
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+ | 1.7933 | 15.0 | 30 | 2.1373 | 0.1624 | 2.1373 | 1.4619 |
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+ | 1.7933 | 16.0 | 32 | 1.5227 | 0.0575 | 1.5227 | 1.2340 |
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+ | 1.7933 | 17.0 | 34 | 1.7374 | 0.1078 | 1.7374 | 1.3181 |
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+ | 1.7933 | 18.0 | 36 | 2.0888 | 0.1489 | 2.0888 | 1.4453 |
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+ | 1.7933 | 19.0 | 38 | 1.7404 | 0.1411 | 1.7404 | 1.3192 |
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+ | 1.5013 | 20.0 | 40 | 1.8295 | 0.1288 | 1.8295 | 1.3526 |
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+ | 1.5013 | 21.0 | 42 | 2.7252 | 0.0775 | 2.7252 | 1.6508 |
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+ | 1.5013 | 22.0 | 44 | 2.2863 | 0.1148 | 2.2863 | 1.5121 |
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+ | 1.5013 | 23.0 | 46 | 1.9034 | 0.1520 | 1.9034 | 1.3796 |
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+ | 1.5013 | 24.0 | 48 | 2.4564 | 0.1052 | 2.4564 | 1.5673 |
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+ | 1.0621 | 25.0 | 50 | 2.3437 | 0.1033 | 2.3437 | 1.5309 |
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+ | 1.0621 | 26.0 | 52 | 2.8176 | 0.0791 | 2.8176 | 1.6786 |
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+ | 1.0621 | 27.0 | 54 | 2.2993 | 0.1371 | 2.2993 | 1.5164 |
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+ | 1.0621 | 28.0 | 56 | 3.3617 | 0.0554 | 3.3617 | 1.8335 |
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+ | 1.0621 | 29.0 | 58 | 2.8583 | 0.0866 | 2.8583 | 1.6907 |
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+ | 0.5724 | 30.0 | 60 | 2.0071 | 0.1854 | 2.0071 | 1.4167 |
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+ | 0.5724 | 31.0 | 62 | 2.4842 | 0.1259 | 2.4842 | 1.5762 |
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+ | 0.5724 | 32.0 | 64 | 3.6091 | 0.0536 | 3.6091 | 1.8998 |
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+ | 0.5724 | 33.0 | 66 | 3.5167 | 0.0628 | 3.5167 | 1.8753 |
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+ | 0.5724 | 34.0 | 68 | 2.4939 | 0.1330 | 2.4939 | 1.5792 |
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+ | 0.3724 | 35.0 | 70 | 3.0914 | 0.0849 | 3.0914 | 1.7582 |
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+ | 0.3724 | 36.0 | 72 | 2.7255 | 0.1191 | 2.7255 | 1.6509 |
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+ | 0.3724 | 37.0 | 74 | 2.7631 | 0.1198 | 2.7631 | 1.6622 |
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+ | 0.3724 | 38.0 | 76 | 2.6358 | 0.1352 | 2.6358 | 1.6235 |
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+ | 0.3724 | 39.0 | 78 | 3.2364 | 0.0837 | 3.2364 | 1.7990 |
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+ | 0.254 | 40.0 | 80 | 3.0060 | 0.0967 | 3.0059 | 1.7338 |
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+ | 0.254 | 41.0 | 82 | 2.7999 | 0.1069 | 2.7999 | 1.6733 |
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+ | 0.254 | 42.0 | 84 | 3.1689 | 0.0883 | 3.1689 | 1.7801 |
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+ | 0.254 | 43.0 | 86 | 3.2822 | 0.0836 | 3.2822 | 1.8117 |
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+ | 0.254 | 44.0 | 88 | 3.0970 | 0.0885 | 3.0970 | 1.7598 |
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+ | 0.1736 | 45.0 | 90 | 2.5817 | 0.1349 | 2.5817 | 1.6068 |
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+ | 0.1736 | 46.0 | 92 | 2.9280 | 0.1108 | 2.9280 | 1.7111 |
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+ | 0.1736 | 47.0 | 94 | 2.9410 | 0.1154 | 2.9410 | 1.7149 |
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+ | 0.1736 | 48.0 | 96 | 2.3168 | 0.1684 | 2.3168 | 1.5221 |
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+ | 0.1736 | 49.0 | 98 | 2.4283 | 0.1632 | 2.4283 | 1.5583 |
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+ | 0.1486 | 50.0 | 100 | 3.1574 | 0.1084 | 3.1574 | 1.7769 |
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+ | 0.1486 | 51.0 | 102 | 2.9698 | 0.1068 | 2.9698 | 1.7233 |
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+ | 0.1486 | 52.0 | 104 | 2.5049 | 0.1489 | 2.5049 | 1.5827 |
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+ | 0.1486 | 53.0 | 106 | 3.1017 | 0.0877 | 3.1017 | 1.7612 |
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+ | 0.1486 | 54.0 | 108 | 3.0418 | 0.0908 | 3.0418 | 1.7441 |
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+ | 0.1233 | 55.0 | 110 | 2.4456 | 0.1517 | 2.4456 | 1.5639 |
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+ | 0.1233 | 56.0 | 112 | 2.8118 | 0.1073 | 2.8118 | 1.6769 |
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+ | 0.1233 | 57.0 | 114 | 2.7787 | 0.1210 | 2.7787 | 1.6669 |
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+ | 0.1233 | 58.0 | 116 | 2.7518 | 0.1227 | 2.7518 | 1.6589 |
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+ | 0.1233 | 59.0 | 118 | 2.7771 | 0.1209 | 2.7771 | 1.6665 |
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+ | 0.1054 | 60.0 | 120 | 2.4018 | 0.1516 | 2.4018 | 1.5498 |
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+ | 0.1054 | 61.0 | 122 | 2.5651 | 0.1327 | 2.5651 | 1.6016 |
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+ | 0.1054 | 62.0 | 124 | 2.4406 | 0.1493 | 2.4406 | 1.5622 |
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+ | 0.1054 | 63.0 | 126 | 2.8577 | 0.1144 | 2.8577 | 1.6905 |
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+ | 0.1054 | 64.0 | 128 | 2.5507 | 0.1318 | 2.5507 | 1.5971 |
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+ | 0.0981 | 65.0 | 130 | 2.0764 | 0.1847 | 2.0764 | 1.4410 |
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+ | 0.0981 | 66.0 | 132 | 2.3426 | 0.1459 | 2.3426 | 1.5306 |
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+ | 0.0981 | 67.0 | 134 | 3.0805 | 0.0948 | 3.0805 | 1.7551 |
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+ | 0.0981 | 68.0 | 136 | 3.2191 | 0.0815 | 3.2191 | 1.7942 |
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+ | 0.0981 | 69.0 | 138 | 2.6300 | 0.1184 | 2.6300 | 1.6217 |
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+ | 0.1122 | 70.0 | 140 | 1.9715 | 0.2115 | 1.9715 | 1.4041 |
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+ | 0.1122 | 71.0 | 142 | 2.0239 | 0.1938 | 2.0239 | 1.4226 |
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+ | 0.1122 | 72.0 | 144 | 2.5947 | 0.1181 | 2.5947 | 1.6108 |
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+ | 0.1122 | 73.0 | 146 | 2.8110 | 0.1127 | 2.8110 | 1.6766 |
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+ | 0.1122 | 74.0 | 148 | 2.5182 | 0.1347 | 2.5182 | 1.5869 |
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+ | 0.0899 | 75.0 | 150 | 2.6086 | 0.1365 | 2.6086 | 1.6151 |
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+ | 0.0899 | 76.0 | 152 | 2.9564 | 0.1153 | 2.9564 | 1.7194 |
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+ | 0.0899 | 77.0 | 154 | 2.7835 | 0.1342 | 2.7835 | 1.6684 |
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+ | 0.0899 | 78.0 | 156 | 2.5104 | 0.1472 | 2.5104 | 1.5844 |
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+ | 0.0899 | 79.0 | 158 | 2.6229 | 0.1391 | 2.6229 | 1.6195 |
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+ | 0.0772 | 80.0 | 160 | 2.6771 | 0.1336 | 2.6771 | 1.6362 |
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+ | 0.0772 | 81.0 | 162 | 2.6291 | 0.1312 | 2.6291 | 1.6214 |
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+ | 0.0772 | 82.0 | 164 | 2.4204 | 0.1493 | 2.4204 | 1.5558 |
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+ | 0.0772 | 83.0 | 166 | 2.3233 | 0.1581 | 2.3233 | 1.5242 |
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+ | 0.0772 | 84.0 | 168 | 2.3747 | 0.1514 | 2.3747 | 1.5410 |
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+ | 0.0771 | 85.0 | 170 | 2.5471 | 0.1405 | 2.5471 | 1.5960 |
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+ | 0.0771 | 86.0 | 172 | 2.6281 | 0.1360 | 2.6281 | 1.6211 |
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+ | 0.0771 | 87.0 | 174 | 2.5029 | 0.1520 | 2.5029 | 1.5821 |
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+ | 0.0771 | 88.0 | 176 | 2.4189 | 0.1629 | 2.4189 | 1.5553 |
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+ | 0.0771 | 89.0 | 178 | 2.5380 | 0.1522 | 2.5380 | 1.5931 |
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+ | 0.0766 | 90.0 | 180 | 2.7065 | 0.1380 | 2.7065 | 1.6451 |
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+ | 0.0766 | 91.0 | 182 | 2.6679 | 0.1351 | 2.6679 | 1.6334 |
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+ | 0.0766 | 92.0 | 184 | 2.5639 | 0.1471 | 2.5639 | 1.6012 |
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+ | 0.0766 | 93.0 | 186 | 2.5141 | 0.1511 | 2.5141 | 1.5856 |
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+ | 0.0766 | 94.0 | 188 | 2.5017 | 0.1513 | 2.5017 | 1.5817 |
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+ | 0.0521 | 95.0 | 190 | 2.5129 | 0.1508 | 2.5129 | 1.5852 |
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+ | 0.0521 | 96.0 | 192 | 2.4979 | 0.1555 | 2.4979 | 1.5805 |
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+ | 0.0521 | 97.0 | 194 | 2.4822 | 0.1628 | 2.4822 | 1.5755 |
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+ | 0.0521 | 98.0 | 196 | 2.5032 | 0.1601 | 2.5032 | 1.5822 |
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+ | 0.0521 | 99.0 | 198 | 2.5438 | 0.1584 | 2.5438 | 1.5949 |
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+ | 0.0576 | 100.0 | 200 | 2.5672 | 0.1569 | 2.5672 | 1.6023 |
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  ### Framework versions