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arabert_cross_relevance_task5_fold3

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  1. README.md +37 -36
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_task5_fold2
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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_task5_fold2
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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: 0.3506
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- - Qwk: -0.0164
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- - Mse: 0.3512
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  ## Model description
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@@ -47,37 +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 | 0.0317 | 2 | 0.4906 | -0.0037 | 0.4920 |
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- | No log | 0.0635 | 4 | 0.3371 | -0.0172 | 0.3371 |
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- | No log | 0.0952 | 6 | 0.3335 | -0.0128 | 0.3335 |
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- | No log | 0.1270 | 8 | 0.2836 | 0.0122 | 0.2837 |
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- | No log | 0.1587 | 10 | 0.3153 | 0.0 | 0.3156 |
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- | No log | 0.1905 | 12 | 0.2834 | 0.0 | 0.2838 |
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- | No log | 0.2222 | 14 | 0.2992 | 0.0 | 0.2996 |
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- | No log | 0.2540 | 16 | 0.3898 | 0.0454 | 0.3898 |
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- | No log | 0.2857 | 18 | 0.4736 | 0.0608 | 0.4735 |
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- | No log | 0.3175 | 20 | 0.4950 | -0.0251 | 0.4949 |
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- | No log | 0.3492 | 22 | 0.4696 | -0.0281 | 0.4697 |
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- | No log | 0.3810 | 24 | 0.4030 | -0.0521 | 0.4033 |
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- | No log | 0.4127 | 26 | 0.3436 | 0.0122 | 0.3443 |
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- | No log | 0.4444 | 28 | 0.3297 | 0.0122 | 0.3305 |
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- | No log | 0.4762 | 30 | 0.3336 | 0.0122 | 0.3344 |
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- | No log | 0.5079 | 32 | 0.3536 | 0.0122 | 0.3541 |
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- | No log | 0.5397 | 34 | 0.3706 | -0.0042 | 0.3710 |
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- | No log | 0.5714 | 36 | 0.3495 | 0.0 | 0.3500 |
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- | No log | 0.6032 | 38 | 0.3317 | 0.0 | 0.3323 |
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- | No log | 0.6349 | 40 | 0.3188 | 0.0 | 0.3196 |
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- | No log | 0.6667 | 42 | 0.3182 | 0.0 | 0.3190 |
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- | No log | 0.6984 | 44 | 0.3248 | 0.0 | 0.3256 |
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- | No log | 0.7302 | 46 | 0.3286 | 0.0 | 0.3294 |
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- | No log | 0.7619 | 48 | 0.3328 | -0.0164 | 0.3336 |
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- | No log | 0.7937 | 50 | 0.3347 | -0.0164 | 0.3354 |
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- | No log | 0.8254 | 52 | 0.3404 | -0.0164 | 0.3411 |
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- | No log | 0.8571 | 54 | 0.3437 | -0.0164 | 0.3444 |
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- | No log | 0.8889 | 56 | 0.3441 | -0.0164 | 0.3448 |
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- | No log | 0.9206 | 58 | 0.3444 | -0.0164 | 0.3450 |
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- | No log | 0.9524 | 60 | 0.3482 | -0.0164 | 0.3488 |
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- | No log | 0.9841 | 62 | 0.3506 | -0.0164 | 0.3512 |
 
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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_task5_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_task5_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: 0.2615
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+ - Qwk: 0.0
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+ - Mse: 0.2615
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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 | 1.7894 | 0.0 | 1.7894 |
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+ | No log | 0.0615 | 4 | 0.5746 | 0.0241 | 0.5746 |
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+ | No log | 0.0923 | 6 | 0.2626 | 0.0101 | 0.2626 |
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+ | No log | 0.1231 | 8 | 0.3467 | 0.0842 | 0.3467 |
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+ | No log | 0.1538 | 10 | 0.3204 | -0.0484 | 0.3204 |
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+ | No log | 0.1846 | 12 | 0.2946 | 0.0278 | 0.2946 |
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+ | No log | 0.2154 | 14 | 0.3020 | 0.0 | 0.3020 |
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+ | No log | 0.2462 | 16 | 0.3536 | 0.0 | 0.3536 |
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+ | No log | 0.2769 | 18 | 0.3417 | 0.0 | 0.3417 |
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+ | No log | 0.3077 | 20 | 0.3100 | 0.0 | 0.3100 |
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+ | No log | 0.3385 | 22 | 0.3160 | 0.0 | 0.3160 |
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+ | No log | 0.3692 | 24 | 0.3028 | 0.0 | 0.3028 |
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+ | No log | 0.4 | 26 | 0.2898 | 0.0 | 0.2898 |
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+ | No log | 0.4308 | 28 | 0.2803 | 0.0 | 0.2803 |
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+ | No log | 0.4615 | 30 | 0.2760 | 0.0 | 0.2760 |
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+ | No log | 0.4923 | 32 | 0.2736 | 0.0 | 0.2736 |
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+ | No log | 0.5231 | 34 | 0.2752 | 0.0101 | 0.2752 |
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+ | No log | 0.5538 | 36 | 0.2821 | -0.0069 | 0.2821 |
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+ | No log | 0.5846 | 38 | 0.2933 | 0.0217 | 0.2933 |
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+ | No log | 0.6154 | 40 | 0.2959 | 0.0672 | 0.2959 |
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+ | No log | 0.6462 | 42 | 0.2871 | -0.0106 | 0.2871 |
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+ | No log | 0.6769 | 44 | 0.2960 | 0.0267 | 0.2960 |
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+ | No log | 0.7077 | 46 | 0.2930 | 0.0185 | 0.2930 |
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+ | No log | 0.7385 | 48 | 0.2791 | 0.0035 | 0.2791 |
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+ | No log | 0.7692 | 50 | 0.2677 | 0.0 | 0.2677 |
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+ | No log | 0.8 | 52 | 0.2641 | 0.0 | 0.2641 |
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+ | No log | 0.8308 | 54 | 0.2641 | 0.0 | 0.2641 |
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+ | No log | 0.8615 | 56 | 0.2630 | 0.0 | 0.2630 |
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+ | No log | 0.8923 | 58 | 0.2625 | 0.0 | 0.2625 |
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+ | No log | 0.9231 | 60 | 0.2620 | 0.0 | 0.2620 |
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+ | No log | 0.9538 | 62 | 0.2617 | 0.0 | 0.2617 |
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+ | No log | 0.9846 | 64 | 0.2615 | 0.0 | 0.2615 |
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  ### Framework versions