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arabert_cross_relevance_task4_fold0

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  1. README.md +37 -38
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_task3_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_task3_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: 0.3083
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- - Qwk: 0.2354
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- - Mse: 0.3090
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  ## Model description
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@@ -47,39 +47,38 @@ 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 | 0.0299 | 2 | 1.6498 | 0.0 | 1.6481 |
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- | No log | 0.0597 | 4 | 0.5644 | 0.1146 | 0.5641 |
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- | No log | 0.0896 | 6 | 0.2749 | 0.1588 | 0.2742 |
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- | No log | 0.1194 | 8 | 0.3064 | 0.1012 | 0.3054 |
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- | No log | 0.1493 | 10 | 0.2890 | 0.1187 | 0.2882 |
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- | No log | 0.1791 | 12 | 0.2842 | 0.2003 | 0.2837 |
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- | No log | 0.2090 | 14 | 0.3266 | 0.2050 | 0.3261 |
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- | No log | 0.2388 | 16 | 0.3931 | 0.1809 | 0.3897 |
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- | No log | 0.2687 | 18 | 0.3763 | 0.1896 | 0.3731 |
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- | No log | 0.2985 | 20 | 0.3147 | 0.2173 | 0.3125 |
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- | No log | 0.3284 | 22 | 0.3526 | 0.2076 | 0.3492 |
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- | No log | 0.3582 | 24 | 0.3678 | 0.2313 | 0.3642 |
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- | No log | 0.3881 | 26 | 0.3518 | 0.3051 | 0.3497 |
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- | No log | 0.4179 | 28 | 0.3659 | 0.2615 | 0.3636 |
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- | No log | 0.4478 | 30 | 0.3513 | 0.2287 | 0.3494 |
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- | No log | 0.4776 | 32 | 0.3355 | 0.2393 | 0.3340 |
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- | No log | 0.5075 | 34 | 0.3257 | 0.2449 | 0.3250 |
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- | No log | 0.5373 | 36 | 0.3077 | 0.2412 | 0.3076 |
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- | No log | 0.5672 | 38 | 0.3002 | 0.2291 | 0.3005 |
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- | No log | 0.5970 | 40 | 0.3033 | 0.2330 | 0.3037 |
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- | No log | 0.6269 | 42 | 0.3014 | 0.2330 | 0.3019 |
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- | No log | 0.6567 | 44 | 0.3067 | 0.2330 | 0.3072 |
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- | No log | 0.6866 | 46 | 0.3179 | 0.2330 | 0.3186 |
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- | No log | 0.7164 | 48 | 0.3217 | 0.2392 | 0.3224 |
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- | No log | 0.7463 | 50 | 0.3119 | 0.2543 | 0.3125 |
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- | No log | 0.7761 | 52 | 0.3115 | 0.2543 | 0.3122 |
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- | No log | 0.8060 | 54 | 0.3159 | 0.2385 | 0.3166 |
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- | No log | 0.8358 | 56 | 0.3075 | 0.2480 | 0.3081 |
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- | No log | 0.8657 | 58 | 0.3073 | 0.2354 | 0.3079 |
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- | No log | 0.8955 | 60 | 0.3057 | 0.2354 | 0.3064 |
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- | No log | 0.9254 | 62 | 0.3067 | 0.2354 | 0.3073 |
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- | No log | 0.9552 | 64 | 0.3081 | 0.2354 | 0.3088 |
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- | No log | 0.9851 | 66 | 0.3083 | 0.2354 | 0.3090 |
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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_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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  | 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