diff --git a/README.md b/README.md index 9949a7f0753a25185220587ec0724f5a6f44796f..a067a862512f9c1ae85eb676491d7568e2249f32 100644 --- a/README.md +++ b/README.md @@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02 tags: - generated_from_trainer model-index: -- name: arabert_cross_relevance_task7_fold0 +- name: arabert_cross_relevance_task6_fold6 results: [] --- -# arabert_cross_relevance_task7_fold0 +# arabert_cross_relevance_task6_fold6 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. It achieves the following results on the evaluation set: -- Loss: 0.2152 -- Qwk: 0.1252 -- Mse: 0.2152 +- Loss: 0.4430 +- Qwk: 0.1465 +- Mse: 0.4429 ## Model description @@ -36,45 +36,102 @@ More information needed The following hyperparameters were used during training: - learning_rate: 2e-05 -- train_batch_size: 16 -- eval_batch_size: 16 +- train_batch_size: 64 +- eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear -- num_epochs: 1 +- num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | |:-------------:|:------:|:----:|:---------------:|:------:|:------:| -| No log | 0.0351 | 2 | 1.7444 | 0.0064 | 1.7443 | -| No log | 0.0702 | 4 | 0.5072 | 0.0044 | 0.5075 | -| No log | 0.1053 | 6 | 0.3202 | 0.1573 | 0.3202 | -| No log | 0.1404 | 8 | 0.2932 | 0.1238 | 0.2931 | -| No log | 0.1754 | 10 | 0.2459 | 0.0491 | 0.2459 | -| No log | 0.2105 | 12 | 0.2721 | 0.0611 | 0.2721 | -| No log | 0.2456 | 14 | 0.3258 | 0.1020 | 0.3257 | -| No log | 0.2807 | 16 | 0.3460 | 0.1206 | 0.3459 | -| No log | 0.3158 | 18 | 0.2997 | 0.1063 | 0.2996 | -| No log | 0.3509 | 20 | 0.2574 | 0.1124 | 0.2574 | -| No log | 0.3860 | 22 | 0.2457 | 0.1501 | 0.2457 | -| No log | 0.4211 | 24 | 0.2347 | 0.1830 | 0.2348 | -| No log | 0.4561 | 26 | 0.2255 | 0.1739 | 0.2255 | -| No log | 0.4912 | 28 | 0.2268 | 0.1123 | 0.2267 | -| No log | 0.5263 | 30 | 0.2372 | 0.1054 | 0.2370 | -| No log | 0.5614 | 32 | 0.2505 | 0.1020 | 0.2503 | -| No log | 0.5965 | 34 | 0.2609 | 0.1020 | 0.2606 | -| No log | 0.6316 | 36 | 0.2711 | 0.0959 | 0.2709 | -| No log | 0.6667 | 38 | 0.2674 | 0.0679 | 0.2672 | -| No log | 0.7018 | 40 | 0.2605 | 0.0756 | 0.2602 | -| No log | 0.7368 | 42 | 0.2455 | 0.0756 | 0.2453 | -| No log | 0.7719 | 44 | 0.2290 | 0.0756 | 0.2289 | -| No log | 0.8070 | 46 | 0.2191 | 0.0791 | 0.2190 | -| No log | 0.8421 | 48 | 0.2160 | 0.0898 | 0.2159 | -| No log | 0.8772 | 50 | 0.2154 | 0.1042 | 0.2153 | -| No log | 0.9123 | 52 | 0.2153 | 0.1215 | 0.2152 | -| No log | 0.9474 | 54 | 0.2154 | 0.1252 | 0.2153 | -| No log | 0.9825 | 56 | 0.2152 | 0.1252 | 0.2152 | +| No log | 0.1176 | 2 | 0.7830 | 0.0204 | 0.7810 | +| No log | 0.2353 | 4 | 0.3944 | 0.0715 | 0.3940 | +| No log | 0.3529 | 6 | 0.3437 | 0.0480 | 0.3436 | +| No log | 0.4706 | 8 | 0.3309 | 0.1105 | 0.3305 | +| No log | 0.5882 | 10 | 0.2835 | 0.1105 | 0.2836 | +| No log | 0.7059 | 12 | 0.2697 | 0.1105 | 0.2702 | +| No log | 0.8235 | 14 | 0.2695 | 0.1185 | 0.2700 | +| No log | 0.9412 | 16 | 0.2715 | 0.1326 | 0.2721 | +| No log | 1.0588 | 18 | 0.2745 | 0.2102 | 0.2750 | +| No log | 1.1765 | 20 | 0.2896 | 0.2067 | 0.2899 | +| No log | 1.2941 | 22 | 0.2766 | 0.2206 | 0.2770 | +| No log | 1.4118 | 24 | 0.2712 | 0.2420 | 0.2717 | +| No log | 1.5294 | 26 | 0.2809 | 0.2235 | 0.2814 | +| No log | 1.6471 | 28 | 0.2904 | 0.2076 | 0.2908 | +| No log | 1.7647 | 30 | 0.2687 | 0.2352 | 0.2692 | +| No log | 1.8824 | 32 | 0.2581 | 0.2477 | 0.2588 | +| No log | 2.0 | 34 | 0.2565 | 0.2472 | 0.2572 | +| No log | 2.1176 | 36 | 0.2641 | 0.2099 | 0.2646 | +| No log | 2.2353 | 38 | 0.3196 | 0.2033 | 0.3198 | +| No log | 2.3529 | 40 | 0.3095 | 0.2076 | 0.3097 | +| No log | 2.4706 | 42 | 0.2662 | 0.2084 | 0.2667 | +| No log | 2.5882 | 44 | 0.2644 | 0.2790 | 0.2651 | +| No log | 2.7059 | 46 | 0.2676 | 0.2311 | 0.2682 | +| No log | 2.8235 | 48 | 0.2943 | 0.2347 | 0.2946 | +| No log | 2.9412 | 50 | 0.3231 | 0.2150 | 0.3232 | +| No log | 3.0588 | 52 | 0.3309 | 0.2064 | 0.3309 | +| No log | 3.1765 | 54 | 0.3053 | 0.2252 | 0.3056 | +| No log | 3.2941 | 56 | 0.2808 | 0.2266 | 0.2812 | +| No log | 3.4118 | 58 | 0.2831 | 0.2170 | 0.2836 | +| No log | 3.5294 | 60 | 0.2875 | 0.2211 | 0.2881 | +| No log | 3.6471 | 62 | 0.3017 | 0.2140 | 0.3022 | +| No log | 3.7647 | 64 | 0.3078 | 0.2125 | 0.3084 | +| No log | 3.8824 | 66 | 0.3215 | 0.2117 | 0.3220 | +| No log | 4.0 | 68 | 0.3285 | 0.2052 | 0.3288 | +| No log | 4.1176 | 70 | 0.3679 | 0.1824 | 0.3679 | +| No log | 4.2353 | 72 | 0.3668 | 0.1824 | 0.3668 | +| No log | 4.3529 | 74 | 0.3216 | 0.2135 | 0.3219 | +| No log | 4.4706 | 76 | 0.2935 | 0.2301 | 0.2940 | +| No log | 4.5882 | 78 | 0.2944 | 0.2406 | 0.2949 | +| No log | 4.7059 | 80 | 0.3279 | 0.2200 | 0.3282 | +| No log | 4.8235 | 82 | 0.3629 | 0.1977 | 0.3631 | +| No log | 4.9412 | 84 | 0.3823 | 0.1898 | 0.3823 | +| No log | 5.0588 | 86 | 0.3659 | 0.1977 | 0.3659 | +| No log | 5.1765 | 88 | 0.3351 | 0.2019 | 0.3353 | +| No log | 5.2941 | 90 | 0.3442 | 0.2019 | 0.3443 | +| No log | 5.4118 | 92 | 0.3693 | 0.1977 | 0.3694 | +| No log | 5.5294 | 94 | 0.3861 | 0.1937 | 0.3861 | +| No log | 5.6471 | 96 | 0.3622 | 0.1977 | 0.3624 | +| No log | 5.7647 | 98 | 0.3369 | 0.2023 | 0.3373 | +| No log | 5.8824 | 100 | 0.3520 | 0.1939 | 0.3524 | +| No log | 6.0 | 102 | 0.3764 | 0.1898 | 0.3766 | +| No log | 6.1176 | 104 | 0.4008 | 0.1975 | 0.4009 | +| No log | 6.2353 | 106 | 0.4228 | 0.1899 | 0.4229 | +| No log | 6.3529 | 108 | 0.4377 | 0.1725 | 0.4376 | +| No log | 6.4706 | 110 | 0.4032 | 0.1824 | 0.4033 | +| No log | 6.5882 | 112 | 0.3828 | 0.1937 | 0.3829 | +| No log | 6.7059 | 114 | 0.4023 | 0.1975 | 0.4023 | +| No log | 6.8235 | 116 | 0.4098 | 0.1650 | 0.4097 | +| No log | 6.9412 | 118 | 0.4555 | 0.1465 | 0.4553 | +| No log | 7.0588 | 120 | 0.5148 | 0.1339 | 0.5144 | +| No log | 7.1765 | 122 | 0.5125 | 0.1339 | 0.5122 | +| No log | 7.2941 | 124 | 0.4645 | 0.1465 | 0.4643 | +| No log | 7.4118 | 126 | 0.3966 | 0.1751 | 0.3967 | +| No log | 7.5294 | 128 | 0.3450 | 0.1979 | 0.3452 | +| No log | 7.6471 | 130 | 0.3262 | 0.2210 | 0.3265 | +| No log | 7.7647 | 132 | 0.3261 | 0.2210 | 0.3265 | +| No log | 7.8824 | 134 | 0.3438 | 0.1979 | 0.3441 | +| No log | 8.0 | 136 | 0.3772 | 0.2015 | 0.3774 | +| No log | 8.1176 | 138 | 0.4155 | 0.1719 | 0.4155 | +| No log | 8.2353 | 140 | 0.4512 | 0.1528 | 0.4511 | +| No log | 8.3529 | 142 | 0.4592 | 0.1404 | 0.4590 | +| No log | 8.4706 | 144 | 0.4422 | 0.1465 | 0.4421 | +| No log | 8.5882 | 146 | 0.4170 | 0.1620 | 0.4170 | +| No log | 8.7059 | 148 | 0.4105 | 0.1757 | 0.4105 | +| No log | 8.8235 | 150 | 0.4205 | 0.1592 | 0.4204 | +| No log | 8.9412 | 152 | 0.4328 | 0.1465 | 0.4327 | +| No log | 9.0588 | 154 | 0.4368 | 0.1465 | 0.4367 | +| No log | 9.1765 | 156 | 0.4351 | 0.1465 | 0.4350 | +| No log | 9.2941 | 158 | 0.4352 | 0.1465 | 0.4352 | +| No log | 9.4118 | 160 | 0.4333 | 0.1465 | 0.4332 | +| No log | 9.5294 | 162 | 0.4373 | 0.1465 | 0.4372 | +| No log | 9.6471 | 164 | 0.4392 | 0.1465 | 0.4391 | +| No log | 9.7647 | 166 | 0.4394 | 0.1465 | 0.4393 | +| No log | 9.8824 | 168 | 0.4416 | 0.1465 | 0.4415 | +| No log | 10.0 | 170 | 0.4430 | 0.1465 | 0.4429 | ### Framework versions diff --git a/model.safetensors b/model.safetensors index c59cfb0d279b4bccbdd62f1892cd31823b3d6199..b207b24d4e6fe44111d2aca54dd9efa37b3f7e74 100644 --- a/model.safetensors +++ b/model.safetensors @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid 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