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arabert_cross_relevance_task4_fold4

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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_fold3
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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_fold3
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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: 0.3149
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- - Qwk: 0.3219
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- - Mse: 0.3149
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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 | 0.6456 | 0.1075 | 0.6456 |
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- | No log | 0.0615 | 4 | 0.4575 | 0.2193 | 0.4575 |
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- | No log | 0.0923 | 6 | 0.4674 | 0.2535 | 0.4674 |
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- | No log | 0.1231 | 8 | 0.5729 | 0.1524 | 0.5729 |
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- | No log | 0.1538 | 10 | 0.3886 | 0.2903 | 0.3886 |
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- | No log | 0.1846 | 12 | 0.4032 | 0.2047 | 0.4032 |
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- | No log | 0.2154 | 14 | 0.4025 | 0.1193 | 0.4025 |
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- | No log | 0.2462 | 16 | 0.3963 | 0.0956 | 0.3963 |
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- | No log | 0.2769 | 18 | 0.3978 | 0.1280 | 0.3978 |
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- | No log | 0.3077 | 20 | 0.3869 | 0.1979 | 0.3869 |
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- | No log | 0.3385 | 22 | 0.3693 | 0.2273 | 0.3693 |
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- | No log | 0.3692 | 24 | 0.3556 | 0.2505 | 0.3556 |
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- | No log | 0.4 | 26 | 0.3417 | 0.2365 | 0.3417 |
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- | No log | 0.4308 | 28 | 0.3385 | 0.2571 | 0.3385 |
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- | No log | 0.4615 | 30 | 0.3433 | 0.2434 | 0.3433 |
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- | No log | 0.4923 | 32 | 0.3471 | 0.2503 | 0.3471 |
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- | No log | 0.5231 | 34 | 0.3537 | 0.2776 | 0.3537 |
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- | No log | 0.5538 | 36 | 0.3590 | 0.2907 | 0.3590 |
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- | No log | 0.5846 | 38 | 0.3558 | 0.2586 | 0.3558 |
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- | No log | 0.6154 | 40 | 0.3484 | 0.2718 | 0.3484 |
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- | No log | 0.6462 | 42 | 0.3430 | 0.2811 | 0.3430 |
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- | No log | 0.6769 | 44 | 0.3356 | 0.2875 | 0.3356 |
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- | No log | 0.7077 | 46 | 0.3309 | 0.2875 | 0.3309 |
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- | No log | 0.7385 | 48 | 0.3268 | 0.2889 | 0.3268 |
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- | No log | 0.7692 | 50 | 0.3226 | 0.3165 | 0.3226 |
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- | No log | 0.8 | 52 | 0.3203 | 0.3229 | 0.3203 |
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- | No log | 0.8308 | 54 | 0.3180 | 0.3288 | 0.3180 |
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- | No log | 0.8615 | 56 | 0.3175 | 0.3279 | 0.3175 |
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- | No log | 0.8923 | 58 | 0.3168 | 0.3279 | 0.3168 |
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- | No log | 0.9231 | 60 | 0.3158 | 0.3219 | 0.3158 |
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- | No log | 0.9538 | 62 | 0.3151 | 0.3219 | 0.3151 |
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- | No log | 0.9846 | 64 | 0.3149 | 0.3219 | 0.3149 |
 
 
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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_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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+ # arabert_cross_relevance_task4_fold4
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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: 0.2131
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+ - Qwk: 0.2800
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+ - Mse: 0.2131
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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 | 1.5877 | 0.0071 | 1.5877 |
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+ | No log | 0.0580 | 4 | 0.7523 | 0.0797 | 0.7523 |
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+ | No log | 0.0870 | 6 | 0.4972 | 0.2325 | 0.4972 |
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+ | No log | 0.1159 | 8 | 0.4973 | 0.2818 | 0.4973 |
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+ | No log | 0.1449 | 10 | 0.3782 | 0.2548 | 0.3782 |
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+ | No log | 0.1739 | 12 | 0.3328 | 0.2641 | 0.3328 |
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+ | No log | 0.2029 | 14 | 0.2810 | 0.2677 | 0.2810 |
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+ | No log | 0.2319 | 16 | 0.2749 | 0.2717 | 0.2749 |
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+ | No log | 0.2609 | 18 | 0.2745 | 0.2169 | 0.2745 |
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+ | No log | 0.2899 | 20 | 0.2605 | 0.2602 | 0.2605 |
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+ | No log | 0.3188 | 22 | 0.2453 | 0.2528 | 0.2453 |
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+ | No log | 0.3478 | 24 | 0.2442 | 0.2459 | 0.2442 |
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+ | No log | 0.3768 | 26 | 0.2468 | 0.2763 | 0.2468 |
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+ | No log | 0.4058 | 28 | 0.2595 | 0.2864 | 0.2595 |
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+ | No log | 0.4348 | 30 | 0.2694 | 0.2852 | 0.2694 |
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+ | No log | 0.4638 | 32 | 0.2515 | 0.2790 | 0.2515 |
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+ | No log | 0.4928 | 34 | 0.2280 | 0.3189 | 0.2280 |
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+ | No log | 0.5217 | 36 | 0.2522 | 0.4255 | 0.2522 |
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+ | No log | 0.5507 | 38 | 0.2616 | 0.3794 | 0.2616 |
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+ | No log | 0.5797 | 40 | 0.2487 | 0.2990 | 0.2487 |
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+ | No log | 0.6087 | 42 | 0.2345 | 0.2490 | 0.2345 |
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+ | No log | 0.6377 | 44 | 0.2296 | 0.2615 | 0.2296 |
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+ | No log | 0.6667 | 46 | 0.2262 | 0.2654 | 0.2262 |
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+ | No log | 0.6957 | 48 | 0.2230 | 0.2654 | 0.2230 |
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+ | No log | 0.7246 | 50 | 0.2198 | 0.2691 | 0.2198 |
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+ | No log | 0.7536 | 52 | 0.2182 | 0.2728 | 0.2182 |
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+ | No log | 0.7826 | 54 | 0.2166 | 0.2763 | 0.2166 |
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+ | No log | 0.8116 | 56 | 0.2162 | 0.2763 | 0.2162 |
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+ | No log | 0.8406 | 58 | 0.2158 | 0.2798 | 0.2158 |
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+ | No log | 0.8696 | 60 | 0.2144 | 0.2798 | 0.2144 |
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+ | No log | 0.8986 | 62 | 0.2129 | 0.2798 | 0.2129 |
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+ | No log | 0.9275 | 64 | 0.2125 | 0.2763 | 0.2125 |
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+ | No log | 0.9565 | 66 | 0.2128 | 0.2728 | 0.2128 |
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+ | No log | 0.9855 | 68 | 0.2131 | 0.2800 | 0.2131 |
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  ### Framework versions