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arabert_cross_relevance_task2_fold0

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  1. README.md +35 -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_task1_fold6
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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_task1_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: 0.2541
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- - Qwk: 0.2373
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- - Mse: 0.2539
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  ## Model description
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@@ -45,38 +45,36 @@ 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 | 0.0333 | 2 | 0.3369 | 0.1172 | 0.3369 |
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- | No log | 0.0667 | 4 | 0.4978 | 0.3977 | 0.4978 |
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- | No log | 0.1 | 6 | 0.4733 | 0.3519 | 0.4733 |
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- | No log | 0.1333 | 8 | 0.3071 | 0.0964 | 0.3071 |
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- | No log | 0.1667 | 10 | 0.2732 | 0.1475 | 0.2733 |
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- | No log | 0.2 | 12 | 0.2941 | 0.2325 | 0.2943 |
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- | No log | 0.2333 | 14 | 0.2888 | 0.2076 | 0.2890 |
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- | No log | 0.2667 | 16 | 0.2781 | 0.2076 | 0.2782 |
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- | No log | 0.3 | 18 | 0.3038 | 0.2583 | 0.3038 |
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- | No log | 0.3333 | 20 | 0.3106 | 0.2515 | 0.3105 |
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- | No log | 0.3667 | 22 | 0.2932 | 0.2691 | 0.2930 |
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- | No log | 0.4 | 24 | 0.2674 | 0.2167 | 0.2669 |
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- | No log | 0.4333 | 26 | 0.2571 | 0.2325 | 0.2564 |
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- | No log | 0.4667 | 28 | 0.2516 | 0.2282 | 0.2509 |
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- | No log | 0.5 | 30 | 0.2513 | 0.2352 | 0.2506 |
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- | No log | 0.5333 | 32 | 0.2536 | 0.2414 | 0.2531 |
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- | No log | 0.5667 | 34 | 0.2678 | 0.2304 | 0.2674 |
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- | No log | 0.6 | 36 | 0.2837 | 0.2448 | 0.2832 |
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- | No log | 0.6333 | 38 | 0.3006 | 0.2257 | 0.3000 |
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- | No log | 0.6667 | 40 | 0.3090 | 0.2226 | 0.3084 |
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- | No log | 0.7 | 42 | 0.2975 | 0.2250 | 0.2971 |
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- | No log | 0.7333 | 44 | 0.2897 | 0.2572 | 0.2894 |
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- | No log | 0.7667 | 46 | 0.2878 | 0.2779 | 0.2875 |
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- | No log | 0.8 | 48 | 0.2796 | 0.2786 | 0.2794 |
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- | No log | 0.8333 | 50 | 0.2697 | 0.2649 | 0.2695 |
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- | No log | 0.8667 | 52 | 0.2639 | 0.2578 | 0.2637 |
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- | No log | 0.9 | 54 | 0.2596 | 0.2436 | 0.2594 |
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- | No log | 0.9333 | 56 | 0.2564 | 0.2443 | 0.2562 |
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- | No log | 0.9667 | 58 | 0.2544 | 0.2373 | 0.2543 |
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- | No log | 1.0 | 60 | 0.2541 | 0.2373 | 0.2539 |
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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_task2_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_task2_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: 0.2433
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+ - Qwk: 0.0809
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+ - Mse: 0.2430
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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 | 0.0351 | 2 | 0.5429 | 0.0139 | 0.5422 |
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+ | No log | 0.0702 | 4 | 0.2881 | -0.0033 | 0.2878 |
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+ | No log | 0.1053 | 6 | 0.2552 | 0.0037 | 0.2550 |
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+ | No log | 0.1404 | 8 | 0.2756 | 0.0363 | 0.2756 |
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+ | No log | 0.1754 | 10 | 0.2731 | 0.0358 | 0.2730 |
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+ | No log | 0.2105 | 12 | 0.2492 | 0.0319 | 0.2491 |
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+ | No log | 0.2456 | 14 | 0.2366 | 0.0426 | 0.2365 |
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+ | No log | 0.2807 | 16 | 0.2435 | 0.0674 | 0.2435 |
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+ | No log | 0.3158 | 18 | 0.2530 | 0.0698 | 0.2530 |
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+ | No log | 0.3509 | 20 | 0.2490 | 0.0774 | 0.2489 |
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+ | No log | 0.3860 | 22 | 0.2454 | 0.0743 | 0.2454 |
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+ | No log | 0.4211 | 24 | 0.2447 | 0.0740 | 0.2446 |
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+ | No log | 0.4561 | 26 | 0.2496 | 0.0713 | 0.2494 |
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+ | No log | 0.4912 | 28 | 0.2557 | 0.0679 | 0.2553 |
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+ | No log | 0.5263 | 30 | 0.2693 | 0.0721 | 0.2689 |
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+ | No log | 0.5614 | 32 | 0.2903 | 0.0721 | 0.2898 |
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+ | No log | 0.5965 | 34 | 0.2872 | 0.0721 | 0.2868 |
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+ | No log | 0.6316 | 36 | 0.2801 | 0.0787 | 0.2797 |
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+ | No log | 0.6667 | 38 | 0.2824 | 0.0809 | 0.2819 |
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+ | No log | 0.7018 | 40 | 0.2708 | 0.0809 | 0.2704 |
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+ | No log | 0.7368 | 42 | 0.2675 | 0.0809 | 0.2672 |
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+ | No log | 0.7719 | 44 | 0.2680 | 0.0809 | 0.2677 |
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+ | No log | 0.8070 | 46 | 0.2603 | 0.0809 | 0.2600 |
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+ | No log | 0.8421 | 48 | 0.2536 | 0.0809 | 0.2534 |
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+ | No log | 0.8772 | 50 | 0.2489 | 0.0809 | 0.2487 |
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+ | No log | 0.9123 | 52 | 0.2470 | 0.0809 | 0.2467 |
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+ | No log | 0.9474 | 54 | 0.2448 | 0.0809 | 0.2446 |
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+ | No log | 0.9825 | 56 | 0.2433 | 0.0809 | 0.2430 |
 
 
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  ### Framework versions