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arabert_cross_relevance_task1_fold6

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  1. README.md +35 -33
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_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_task1_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: 0.1955
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- - Qwk: 0.3846
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- - Mse: 0.1955
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  ## Model description
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@@ -47,34 +47,36 @@ 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 | 0.0351 | 2 | 0.3613 | 0.2826 | 0.3613 |
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- | No log | 0.0702 | 4 | 0.4116 | 0.5484 | 0.4116 |
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- | No log | 0.1053 | 6 | 0.2771 | 0.4880 | 0.2771 |
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- | No log | 0.1404 | 8 | 0.2157 | 0.3346 | 0.2157 |
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- | No log | 0.1754 | 10 | 0.2149 | 0.3324 | 0.2149 |
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- | No log | 0.2105 | 12 | 0.2119 | 0.3302 | 0.2119 |
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- | No log | 0.2456 | 14 | 0.2146 | 0.3336 | 0.2146 |
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- | No log | 0.2807 | 16 | 0.2085 | 0.3319 | 0.2085 |
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- | No log | 0.3158 | 18 | 0.2118 | 0.3641 | 0.2118 |
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- | No log | 0.3509 | 20 | 0.2261 | 0.4439 | 0.2261 |
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- | No log | 0.3860 | 22 | 0.2392 | 0.4713 | 0.2392 |
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- | No log | 0.4211 | 24 | 0.2344 | 0.4095 | 0.2344 |
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- | No log | 0.4561 | 26 | 0.2151 | 0.3602 | 0.2151 |
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- | No log | 0.4912 | 28 | 0.2029 | 0.3304 | 0.2029 |
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- | No log | 0.5263 | 30 | 0.2041 | 0.3227 | 0.2041 |
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- | No log | 0.5614 | 32 | 0.2085 | 0.3015 | 0.2085 |
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- | No log | 0.5965 | 34 | 0.2114 | 0.2998 | 0.2114 |
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- | No log | 0.6316 | 36 | 0.2114 | 0.2998 | 0.2114 |
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- | No log | 0.6667 | 38 | 0.2041 | 0.3156 | 0.2041 |
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- | No log | 0.7018 | 40 | 0.1985 | 0.3186 | 0.1985 |
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- | No log | 0.7368 | 42 | 0.1948 | 0.3490 | 0.1948 |
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- | No log | 0.7719 | 44 | 0.1925 | 0.3543 | 0.1925 |
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- | No log | 0.8070 | 46 | 0.1939 | 0.3667 | 0.1939 |
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- | No log | 0.8421 | 48 | 0.1928 | 0.3684 | 0.1928 |
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- | No log | 0.8772 | 50 | 0.1932 | 0.3736 | 0.1932 |
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- | No log | 0.9123 | 52 | 0.1942 | 0.3795 | 0.1942 |
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- | No log | 0.9474 | 54 | 0.1952 | 0.3846 | 0.1952 |
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- | No log | 0.9825 | 56 | 0.1955 | 0.3846 | 0.1955 |
 
 
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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_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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  | 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