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arabert_cross_relevance_task4_fold1

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  1. README.md +39 -39
README.md CHANGED
@@ -3,20 +3,20 @@ 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: arabert_cross_relevance_task4_fold0
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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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- # arabert_cross_relevance_task4_fold0
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2479
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- - Qwk: 0.1137
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- - Mse: 0.2477
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  ## Model description
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@@ -45,40 +45,40 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.0308 | 2 | 1.1704 | 0.0068 | 1.1689 |
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- | No log | 0.0615 | 4 | 0.3625 | 0.0496 | 0.3618 |
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- | No log | 0.0923 | 6 | 0.2641 | 0.0297 | 0.2635 |
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- | No log | 0.1231 | 8 | 0.2513 | 0.0073 | 0.2507 |
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- | No log | 0.1538 | 10 | 0.3032 | 0.0512 | 0.3025 |
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- | No log | 0.1846 | 12 | 0.3827 | 0.0703 | 0.3818 |
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- | No log | 0.2154 | 14 | 0.3771 | 0.0767 | 0.3763 |
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- | No log | 0.2462 | 16 | 0.3026 | 0.0809 | 0.3019 |
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- | No log | 0.2769 | 18 | 0.2590 | 0.0646 | 0.2586 |
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- | No log | 0.3077 | 20 | 0.2674 | 0.0745 | 0.2668 |
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- | No log | 0.3385 | 22 | 0.2762 | 0.0992 | 0.2757 |
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- | No log | 0.3692 | 24 | 0.2855 | 0.1225 | 0.2852 |
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- | No log | 0.4 | 26 | 0.3271 | 0.1089 | 0.3269 |
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- | No log | 0.4308 | 28 | 0.3800 | 0.1124 | 0.3799 |
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- | No log | 0.4615 | 30 | 0.4123 | 0.0941 | 0.4122 |
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- | No log | 0.4923 | 32 | 0.4381 | 0.0968 | 0.4379 |
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- | No log | 0.5231 | 34 | 0.4126 | 0.1072 | 0.4124 |
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- | No log | 0.5538 | 36 | 0.3850 | 0.1134 | 0.3848 |
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- | No log | 0.5846 | 38 | 0.3976 | 0.1200 | 0.3974 |
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- | No log | 0.6154 | 40 | 0.4201 | 0.1208 | 0.4198 |
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- | No log | 0.6462 | 42 | 0.3902 | 0.1237 | 0.3899 |
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- | No log | 0.6769 | 44 | 0.3376 | 0.1125 | 0.3373 |
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- | No log | 0.7077 | 46 | 0.3133 | 0.1172 | 0.3131 |
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- | No log | 0.7385 | 48 | 0.3111 | 0.1181 | 0.3109 |
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- | No log | 0.7692 | 50 | 0.2963 | 0.1221 | 0.2960 |
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- | No log | 0.8 | 52 | 0.2785 | 0.1201 | 0.2783 |
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- | No log | 0.8308 | 54 | 0.2692 | 0.1314 | 0.2691 |
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- | No log | 0.8615 | 56 | 0.2596 | 0.1243 | 0.2594 |
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- | No log | 0.8923 | 58 | 0.2565 | 0.1191 | 0.2563 |
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- | No log | 0.9231 | 60 | 0.2527 | 0.1137 | 0.2525 |
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- | No log | 0.9538 | 62 | 0.2495 | 0.1137 | 0.2494 |
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- | No log | 0.9846 | 64 | 0.2479 | 0.1137 | 0.2477 |
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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: arabert_cross_relevance_task4_fold1
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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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+ # arabert_cross_relevance_task4_fold1
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1659
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+ - Qwk: 0.0402
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+ - Mse: 0.1659
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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+ | No log | 0.0308 | 2 | 2.0522 | -0.0055 | 2.0522 |
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+ | No log | 0.0615 | 4 | 0.6665 | -0.0084 | 0.6665 |
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+ | No log | 0.0923 | 6 | 0.2290 | 0.0207 | 0.2290 |
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+ | No log | 0.1231 | 8 | 0.1690 | 0.0796 | 0.1690 |
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+ | No log | 0.1538 | 10 | 0.2100 | 0.0199 | 0.2100 |
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+ | No log | 0.1846 | 12 | 0.4380 | 0.0228 | 0.4380 |
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+ | No log | 0.2154 | 14 | 0.4146 | 0.0114 | 0.4146 |
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+ | No log | 0.2462 | 16 | 0.4672 | 0.0164 | 0.4672 |
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+ | No log | 0.2769 | 18 | 0.4548 | 0.0082 | 0.4548 |
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+ | No log | 0.3077 | 20 | 0.3092 | 0.0166 | 0.3092 |
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+ | No log | 0.3385 | 22 | 0.1656 | 0.0373 | 0.1656 |
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+ | No log | 0.3692 | 24 | 0.1443 | 0.0155 | 0.1443 |
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+ | No log | 0.4 | 26 | 0.1375 | 0.0344 | 0.1375 |
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+ | No log | 0.4308 | 28 | 0.1319 | 0.0250 | 0.1319 |
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+ | No log | 0.4615 | 30 | 0.1415 | 0.0270 | 0.1415 |
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+ | No log | 0.4923 | 32 | 0.1730 | 0.0185 | 0.1730 |
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+ | No log | 0.5231 | 34 | 0.2033 | 0.0185 | 0.2033 |
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+ | No log | 0.5538 | 36 | 0.2320 | 0.0166 | 0.2320 |
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+ | No log | 0.5846 | 38 | 0.2349 | 0.0149 | 0.2349 |
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+ | No log | 0.6154 | 40 | 0.2136 | 0.0165 | 0.2136 |
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+ | No log | 0.6462 | 42 | 0.1798 | 0.0165 | 0.1798 |
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+ | No log | 0.6769 | 44 | 0.1596 | 0.0175 | 0.1596 |
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+ | No log | 0.7077 | 46 | 0.1554 | 0.0243 | 0.1554 |
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+ | No log | 0.7385 | 48 | 0.1612 | 0.0316 | 0.1612 |
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+ | No log | 0.7692 | 50 | 0.1628 | 0.0261 | 0.1628 |
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+ | No log | 0.8 | 52 | 0.1699 | 0.0317 | 0.1699 |
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+ | No log | 0.8308 | 54 | 0.1702 | 0.0284 | 0.1702 |
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+ | No log | 0.8615 | 56 | 0.1679 | 0.0334 | 0.1679 |
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+ | No log | 0.8923 | 58 | 0.1678 | 0.0334 | 0.1678 |
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+ | No log | 0.9231 | 60 | 0.1646 | 0.0436 | 0.1646 |
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+ | No log | 0.9538 | 62 | 0.1648 | 0.0402 | 0.1648 |
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+ | No log | 0.9846 | 64 | 0.1659 | 0.0402 | 0.1659 |
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  ### Framework versions