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arabert_cross_relevance_task3_fold5

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  1. README.md +36 -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_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_task3_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: 0.2571
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- - Qwk: 0.2990
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- - Mse: 0.2571
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  ## Model description
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@@ -47,39 +47,37 @@ 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 | 1.7717 | 0.0 | 1.7717 |
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- | No log | 0.0597 | 4 | 0.7373 | 0.0206 | 0.7373 |
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- | No log | 0.0896 | 6 | 0.3548 | 0.1079 | 0.3548 |
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- | No log | 0.1194 | 8 | 0.3578 | 0.2251 | 0.3578 |
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- | No log | 0.1493 | 10 | 0.3381 | 0.1797 | 0.3381 |
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- | No log | 0.1791 | 12 | 0.3165 | 0.1412 | 0.3165 |
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- | No log | 0.2090 | 14 | 0.3012 | 0.1310 | 0.3012 |
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- | No log | 0.2388 | 16 | 0.2798 | 0.1562 | 0.2798 |
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- | No log | 0.2687 | 18 | 0.2699 | 0.1626 | 0.2699 |
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- | No log | 0.2985 | 20 | 0.2748 | 0.2548 | 0.2748 |
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- | No log | 0.3284 | 22 | 0.2656 | 0.3162 | 0.2656 |
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- | No log | 0.3582 | 24 | 0.2468 | 0.3139 | 0.2468 |
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- | No log | 0.3881 | 26 | 0.2384 | 0.2912 | 0.2384 |
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- | No log | 0.4179 | 28 | 0.2341 | 0.2685 | 0.2341 |
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- | No log | 0.4478 | 30 | 0.2336 | 0.2493 | 0.2336 |
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- | No log | 0.4776 | 32 | 0.2424 | 0.2406 | 0.2424 |
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- | No log | 0.5075 | 34 | 0.2400 | 0.2406 | 0.2400 |
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- | No log | 0.5373 | 36 | 0.2318 | 0.2417 | 0.2318 |
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- | No log | 0.5672 | 38 | 0.2279 | 0.2417 | 0.2279 |
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- | No log | 0.5970 | 40 | 0.2273 | 0.2372 | 0.2273 |
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- | No log | 0.6269 | 42 | 0.2291 | 0.2372 | 0.2291 |
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- | No log | 0.6567 | 44 | 0.2355 | 0.2485 | 0.2355 |
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- | No log | 0.6866 | 46 | 0.2406 | 0.2712 | 0.2406 |
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- | No log | 0.7164 | 48 | 0.2435 | 0.3221 | 0.2435 |
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- | No log | 0.7463 | 50 | 0.2489 | 0.3614 | 0.2489 |
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- | No log | 0.7761 | 52 | 0.2518 | 0.3504 | 0.2518 |
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- | No log | 0.8060 | 54 | 0.2571 | 0.3504 | 0.2571 |
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- | No log | 0.8358 | 56 | 0.2606 | 0.3584 | 0.2606 |
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- | No log | 0.8657 | 58 | 0.2632 | 0.3558 | 0.2632 |
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- | No log | 0.8955 | 60 | 0.2608 | 0.3315 | 0.2608 |
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- | No log | 0.9254 | 62 | 0.2586 | 0.3071 | 0.2586 |
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- | No log | 0.9552 | 64 | 0.2578 | 0.3071 | 0.2578 |
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- | No log | 0.9851 | 66 | 0.2571 | 0.2990 | 0.2571 |
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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_task3_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_task3_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: 0.1927
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+ - Qwk: 0.3583
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+ - Mse: 0.1927
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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 | 0.0317 | 2 | 0.7649 | 0.0249 | 0.7649 |
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+ | No log | 0.0635 | 4 | 0.4874 | 0.1486 | 0.4874 |
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+ | No log | 0.0952 | 6 | 0.3246 | 0.3768 | 0.3246 |
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+ | No log | 0.1270 | 8 | 0.4428 | 0.4187 | 0.4428 |
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+ | No log | 0.1587 | 10 | 0.3587 | 0.2702 | 0.3587 |
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+ | No log | 0.1905 | 12 | 0.2865 | 0.2527 | 0.2865 |
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+ | No log | 0.2222 | 14 | 0.2562 | 0.2830 | 0.2562 |
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+ | No log | 0.2540 | 16 | 0.2311 | 0.2998 | 0.2311 |
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+ | No log | 0.2857 | 18 | 0.2125 | 0.3152 | 0.2125 |
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+ | No log | 0.3175 | 20 | 0.2154 | 0.3860 | 0.2154 |
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+ | No log | 0.3492 | 22 | 0.2502 | 0.5544 | 0.2502 |
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+ | No log | 0.3810 | 24 | 0.2642 | 0.6590 | 0.2642 |
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+ | No log | 0.4127 | 26 | 0.2431 | 0.6239 | 0.2431 |
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+ | No log | 0.4444 | 28 | 0.2115 | 0.4874 | 0.2115 |
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+ | No log | 0.4762 | 30 | 0.1950 | 0.4156 | 0.1950 |
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+ | No log | 0.5079 | 32 | 0.1937 | 0.3883 | 0.1937 |
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+ | No log | 0.5397 | 34 | 0.1952 | 0.3613 | 0.1952 |
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+ | No log | 0.5714 | 36 | 0.1955 | 0.3557 | 0.1955 |
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+ | No log | 0.6032 | 38 | 0.1939 | 0.3547 | 0.1939 |
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+ | No log | 0.6349 | 40 | 0.1915 | 0.3536 | 0.1915 |
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+ | No log | 0.6667 | 42 | 0.1923 | 0.3536 | 0.1923 |
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+ | No log | 0.6984 | 44 | 0.1919 | 0.3490 | 0.1919 |
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+ | No log | 0.7302 | 46 | 0.1928 | 0.3490 | 0.1928 |
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+ | No log | 0.7619 | 48 | 0.1923 | 0.3490 | 0.1923 |
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+ | No log | 0.7937 | 50 | 0.1945 | 0.3468 | 0.1945 |
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+ | No log | 0.8254 | 52 | 0.1988 | 0.3305 | 0.1988 |
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+ | No log | 0.8571 | 54 | 0.2000 | 0.3305 | 0.2000 |
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+ | No log | 0.8889 | 56 | 0.1995 | 0.3363 | 0.1995 |
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+ | No log | 0.9206 | 58 | 0.1967 | 0.3363 | 0.1967 |
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+ | No log | 0.9524 | 60 | 0.1943 | 0.3408 | 0.1943 |
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+ | No log | 0.9841 | 62 | 0.1927 | 0.3583 | 0.1927 |
 
 
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  ### Framework versions