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arabert_cross_relevance_task4_fold6

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  1. README.md +39 -37
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_fold5
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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_fold5
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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: 0.2012
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- - Qwk: 0.3316
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- - Mse: 0.2012
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  ## Model description
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@@ -47,38 +47,40 @@ The following hyperparameters were used during training:
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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 | 0.8674 | 0.0189 | 0.8674 |
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- | No log | 0.0615 | 4 | 0.3092 | 0.1698 | 0.3092 |
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- | No log | 0.0923 | 6 | 0.2741 | 0.3860 | 0.2741 |
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- | No log | 0.1231 | 8 | 0.5821 | 0.1108 | 0.5821 |
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- | No log | 0.1538 | 10 | 0.5895 | 0.0790 | 0.5895 |
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- | No log | 0.1846 | 12 | 0.3529 | 0.2102 | 0.3529 |
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- | No log | 0.2154 | 14 | 0.3190 | 0.1372 | 0.3190 |
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- | No log | 0.2462 | 16 | 0.3357 | 0.1171 | 0.3357 |
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- | No log | 0.2769 | 18 | 0.3393 | 0.1109 | 0.3393 |
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- | No log | 0.3077 | 20 | 0.3428 | 0.1199 | 0.3428 |
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- | No log | 0.3385 | 22 | 0.3235 | 0.1286 | 0.3235 |
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- | No log | 0.3692 | 24 | 0.2949 | 0.1467 | 0.2949 |
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- | No log | 0.4 | 26 | 0.2847 | 0.2323 | 0.2847 |
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- | No log | 0.4308 | 28 | 0.2648 | 0.2548 | 0.2648 |
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- | No log | 0.4615 | 30 | 0.2545 | 0.3523 | 0.2545 |
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- | No log | 0.4923 | 32 | 0.2912 | 0.3314 | 0.2912 |
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- | No log | 0.5231 | 34 | 0.2803 | 0.3429 | 0.2803 |
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- | No log | 0.5538 | 36 | 0.2348 | 0.3610 | 0.2348 |
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- | No log | 0.5846 | 38 | 0.2239 | 0.3930 | 0.2239 |
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- | No log | 0.6154 | 40 | 0.2408 | 0.3647 | 0.2408 |
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- | No log | 0.6462 | 42 | 0.2548 | 0.3020 | 0.2548 |
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- | No log | 0.6769 | 44 | 0.2615 | 0.2758 | 0.2615 |
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- | No log | 0.7077 | 46 | 0.2736 | 0.2672 | 0.2736 |
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- | No log | 0.7385 | 48 | 0.2695 | 0.2672 | 0.2695 |
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- | No log | 0.7692 | 50 | 0.2594 | 0.2672 | 0.2594 |
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- | No log | 0.8 | 52 | 0.2453 | 0.2886 | 0.2453 |
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- | No log | 0.8308 | 54 | 0.2289 | 0.2973 | 0.2289 |
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- | No log | 0.8615 | 56 | 0.2174 | 0.3241 | 0.2174 |
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- | No log | 0.8923 | 58 | 0.2115 | 0.3241 | 0.2115 |
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- | No log | 0.9231 | 60 | 0.2068 | 0.3279 | 0.2068 |
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- | No log | 0.9538 | 62 | 0.2031 | 0.3279 | 0.2031 |
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- | No log | 0.9846 | 64 | 0.2012 | 0.3316 | 0.2012 |
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
6
+ - name: arabert_cross_relevance_task4_fold6
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  results: []
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  ---
9
 
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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_fold6
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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: 0.2493
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+ - Qwk: 0.1995
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+ - Mse: 0.2499
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0290 | 2 | 0.9661 | 0.0008 | 0.9646 |
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+ | No log | 0.0580 | 4 | 0.3848 | 0.0771 | 0.3829 |
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+ | No log | 0.0870 | 6 | 0.4443 | 0.1500 | 0.4425 |
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+ | No log | 0.1159 | 8 | 0.4586 | 0.1517 | 0.4581 |
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+ | No log | 0.1449 | 10 | 0.3891 | 0.0979 | 0.3886 |
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+ | No log | 0.1739 | 12 | 0.3011 | 0.0429 | 0.3007 |
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+ | No log | 0.2029 | 14 | 0.2904 | 0.1022 | 0.2903 |
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+ | No log | 0.2319 | 16 | 0.2988 | 0.1568 | 0.2989 |
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+ | No log | 0.2609 | 18 | 0.2760 | 0.1568 | 0.2762 |
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+ | No log | 0.2899 | 20 | 0.2581 | 0.1568 | 0.2582 |
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+ | No log | 0.3188 | 22 | 0.2522 | 0.1638 | 0.2523 |
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+ | No log | 0.3478 | 24 | 0.2553 | 0.2163 | 0.2553 |
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+ | No log | 0.3768 | 26 | 0.2573 | 0.2041 | 0.2573 |
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+ | No log | 0.4058 | 28 | 0.2622 | 0.2357 | 0.2623 |
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+ | No log | 0.4348 | 30 | 0.2861 | 0.2386 | 0.2863 |
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+ | No log | 0.4638 | 32 | 0.2800 | 0.2300 | 0.2803 |
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+ | No log | 0.4928 | 34 | 0.2632 | 0.2282 | 0.2634 |
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+ | No log | 0.5217 | 36 | 0.2642 | 0.1801 | 0.2643 |
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+ | No log | 0.5507 | 38 | 0.2968 | 0.1910 | 0.2969 |
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+ | No log | 0.5797 | 40 | 0.2947 | 0.1983 | 0.2949 |
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+ | No log | 0.6087 | 42 | 0.2738 | 0.1325 | 0.2739 |
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+ | No log | 0.6377 | 44 | 0.2632 | 0.125 | 0.2633 |
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+ | No log | 0.6667 | 46 | 0.2553 | 0.1615 | 0.2555 |
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+ | No log | 0.6957 | 48 | 0.2539 | 0.1615 | 0.2542 |
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+ | No log | 0.7246 | 50 | 0.2544 | 0.1939 | 0.2548 |
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+ | No log | 0.7536 | 52 | 0.2528 | 0.1939 | 0.2532 |
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+ | No log | 0.7826 | 54 | 0.2520 | 0.1858 | 0.2525 |
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+ | No log | 0.8116 | 56 | 0.2532 | 0.1915 | 0.2537 |
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+ | No log | 0.8406 | 58 | 0.2528 | 0.1970 | 0.2533 |
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+ | No log | 0.8696 | 60 | 0.2505 | 0.1970 | 0.2510 |
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+ | No log | 0.8986 | 62 | 0.2494 | 0.1970 | 0.2499 |
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+ | No log | 0.9275 | 64 | 0.2492 | 0.1970 | 0.2497 |
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+ | No log | 0.9565 | 66 | 0.2493 | 0.2049 | 0.2498 |
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+ | No log | 0.9855 | 68 | 0.2493 | 0.1995 | 0.2499 |
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  ### Framework versions