Model save
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README.md
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This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9444
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- Macro F1: 0.
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## Model description
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@@ -50,108 +50,108 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|
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| 2.07 | 0.1029 | 100 | 1.
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| 0.0668 | 9.3621 | 9100 | 0.
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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-
- Datasets
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- Tokenizers 0.21.1
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This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3012
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- Accuracy: 0.9444
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- Macro F1: 0.9147
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|
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| 2.07 | 0.1029 | 100 | 1.9058 | 0.4144 | 0.1548 |
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| 1.7855 | 0.2058 | 200 | 1.6273 | 0.4907 | 0.2162 |
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| 1.539 | 0.3086 | 300 | 1.4125 | 0.5683 | 0.2940 |
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| 1.2834 | 0.4115 | 400 | 1.1540 | 0.6586 | 0.3591 |
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| 1.1157 | 0.5144 | 500 | 0.9695 | 0.7095 | 0.4362 |
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| 0.9701 | 0.6173 | 600 | 0.8559 | 0.7488 | 0.5098 |
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| 0.848 | 0.7202 | 700 | 0.8231 | 0.7714 | 0.5732 |
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| 0.7585 | 0.8230 | 800 | 0.6777 | 0.8171 | 0.6513 |
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| 0.698 | 0.9259 | 900 | 0.6211 | 0.8281 | 0.6726 |
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| 0.6143 | 1.0288 | 1000 | 0.5631 | 0.8466 | 0.7037 |
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| 0.5656 | 1.1317 | 1100 | 0.5575 | 0.8519 | 0.7296 |
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| 0.4638 | 1.2346 | 1200 | 0.4738 | 0.8738 | 0.7532 |
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| 0.4572 | 1.3374 | 1300 | 0.4279 | 0.8877 | 0.7689 |
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| 0.3826 | 1.4403 | 1400 | 0.4296 | 0.8814 | 0.7680 |
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| 0.3424 | 1.5432 | 1500 | 0.3643 | 0.9045 | 0.7900 |
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| 0.3636 | 1.6461 | 1600 | 0.3541 | 0.9057 | 0.7895 |
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| 0.3061 | 1.7490 | 1700 | 0.3264 | 0.9120 | 0.7982 |
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| 0.3145 | 1.8519 | 1800 | 0.3232 | 0.9126 | 0.7974 |
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| 0.3074 | 1.9547 | 1900 | 0.3124 | 0.9167 | 0.8140 |
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| 0.3145 | 2.0576 | 2000 | 0.3228 | 0.9144 | 0.8238 |
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| 0.2337 | 2.1605 | 2100 | 0.3152 | 0.9167 | 0.8236 |
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| 0.2283 | 2.2634 | 2200 | 0.3145 | 0.9184 | 0.8286 |
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| 0.2265 | 2.3663 | 2300 | 0.3230 | 0.9207 | 0.8212 |
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| 0.2428 | 2.4691 | 2400 | 0.3038 | 0.9248 | 0.8434 |
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| 0.2301 | 2.5720 | 2500 | 0.2946 | 0.9225 | 0.8523 |
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| 0.2471 | 2.6749 | 2600 | 0.2937 | 0.9201 | 0.8516 |
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| 0.1854 | 2.7778 | 2700 | 0.2864 | 0.9288 | 0.8594 |
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| 0.2154 | 2.8807 | 2800 | 0.2896 | 0.9259 | 0.8526 |
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| 0.2196 | 2.9835 | 2900 | 0.2891 | 0.9271 | 0.8727 |
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| 0.1772 | 3.0864 | 3000 | 0.2884 | 0.9271 | 0.8537 |
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| 0.1876 | 3.1893 | 3100 | 0.2827 | 0.9282 | 0.8730 |
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| 0.1898 | 3.2922 | 3200 | 0.2698 | 0.9300 | 0.8584 |
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| 0.1592 | 3.3951 | 3300 | 0.2923 | 0.9334 | 0.8752 |
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| 0.1423 | 3.4979 | 3400 | 0.2738 | 0.9329 | 0.8862 |
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| 0.1818 | 3.6008 | 3500 | 0.2811 | 0.9294 | 0.8825 |
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| 0.1357 | 3.7037 | 3600 | 0.2758 | 0.9381 | 0.8940 |
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| 0.1667 | 3.8066 | 3700 | 0.3017 | 0.9317 | 0.8941 |
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| 0.1609 | 3.9095 | 3800 | 0.2881 | 0.9340 | 0.8914 |
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| 0.141 | 4.0123 | 3900 | 0.3014 | 0.9329 | 0.9001 |
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| 0.0912 | 4.1152 | 4000 | 0.2830 | 0.9346 | 0.9008 |
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| 0.1152 | 4.2181 | 4100 | 0.3018 | 0.9329 | 0.8922 |
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| 0.1576 | 4.3210 | 4200 | 0.2790 | 0.9375 | 0.9090 |
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| 0.1255 | 4.4239 | 4300 | 0.2893 | 0.9329 | 0.8968 |
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| 0.1186 | 4.5267 | 4400 | 0.3274 | 0.9265 | 0.8982 |
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| 0.1362 | 4.6296 | 4500 | 0.2865 | 0.9363 | 0.9025 |
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| 0.1171 | 4.7325 | 4600 | 0.2941 | 0.9358 | 0.9042 |
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| 0.1494 | 4.8354 | 4700 | 0.2841 | 0.9352 | 0.9006 |
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| 0.1065 | 4.9383 | 4800 | 0.3263 | 0.9300 | 0.9010 |
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| 0.104 | 5.0412 | 4900 | 0.2949 | 0.9398 | 0.9146 |
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| 0.0767 | 5.1440 | 5000 | 0.3041 | 0.9375 | 0.9025 |
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| 0.0924 | 5.2469 | 5100 | 0.2908 | 0.9381 | 0.9125 |
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| 0.1106 | 5.3498 | 5200 | 0.3003 | 0.9387 | 0.9006 |
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| 0.1099 | 5.4527 | 5300 | 0.2844 | 0.9410 | 0.9084 |
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| 0.0985 | 5.5556 | 5400 | 0.2936 | 0.9363 | 0.9070 |
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| 0.087 | 5.6584 | 5500 | 0.2828 | 0.9404 | 0.9089 |
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| 0.0997 | 5.7613 | 5600 | 0.2881 | 0.9387 | 0.9119 |
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| 0.0982 | 5.8642 | 5700 | 0.2950 | 0.9363 | 0.9087 |
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| 0.1242 | 5.9671 | 5800 | 0.3027 | 0.9398 | 0.9074 |
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| 0.0947 | 6.0700 | 5900 | 0.2926 | 0.9398 | 0.9115 |
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| 0.0845 | 6.1728 | 6000 | 0.2823 | 0.9427 | 0.9101 |
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| 0.0881 | 6.2757 | 6100 | 0.3071 | 0.9363 | 0.9144 |
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| 0.0806 | 6.3786 | 6200 | 0.2972 | 0.9392 | 0.9101 |
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| 0.0676 | 6.4815 | 6300 | 0.2839 | 0.9381 | 0.8999 |
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| 0.1106 | 6.5844 | 6400 | 0.3066 | 0.9358 | 0.9020 |
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| 0.1031 | 6.6872 | 6500 | 0.2971 | 0.9387 | 0.9034 |
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| 0.0691 | 6.7901 | 6600 | 0.2932 | 0.9416 | 0.9130 |
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| 0.0779 | 6.8930 | 6700 | 0.3020 | 0.9410 | 0.9121 |
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| 0.0676 | 6.9959 | 6800 | 0.2931 | 0.9416 | 0.9144 |
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| 0.0721 | 7.0988 | 6900 | 0.2877 | 0.9398 | 0.9114 |
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| 0.0552 | 7.2016 | 7000 | 0.2978 | 0.9450 | 0.9241 |
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| 0.0502 | 7.3045 | 7100 | 0.2899 | 0.9416 | 0.9122 |
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| 0.0572 | 7.4074 | 7200 | 0.2941 | 0.9421 | 0.9131 |
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| 0.079 | 7.5103 | 7300 | 0.2913 | 0.9427 | 0.9161 |
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| 0.0676 | 7.6132 | 7400 | 0.2965 | 0.9410 | 0.9135 |
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| 0.0673 | 7.7160 | 7500 | 0.3055 | 0.9404 | 0.9076 |
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| 0.0709 | 7.8189 | 7600 | 0.3005 | 0.9421 | 0.9122 |
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| 0.0709 | 7.9218 | 7700 | 0.3023 | 0.9416 | 0.9160 |
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| 0.0679 | 8.0247 | 7800 | 0.2973 | 0.9410 | 0.9108 |
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| 0.0542 | 8.1276 | 7900 | 0.2913 | 0.9427 | 0.9174 |
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| 0.0605 | 8.2305 | 8000 | 0.3070 | 0.9421 | 0.9154 |
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| 0.0578 | 8.3333 | 8100 | 0.3053 | 0.9410 | 0.9140 |
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| 0.0457 | 8.4362 | 8200 | 0.2946 | 0.9450 | 0.9214 |
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| 0.0631 | 8.5391 | 8300 | 0.3010 | 0.9433 | 0.9094 |
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| 0.0563 | 8.6420 | 8400 | 0.2957 | 0.9433 | 0.9177 |
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| 0.0624 | 8.7449 | 8500 | 0.2965 | 0.9468 | 0.9209 |
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| 0.0557 | 8.8477 | 8600 | 0.3052 | 0.9416 | 0.9135 |
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| 0.058 | 8.9506 | 8700 | 0.3091 | 0.9416 | 0.9129 |
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| 0.0319 | 9.0535 | 8800 | 0.3078 | 0.9439 | 0.9156 |
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| 0.0454 | 9.1564 | 8900 | 0.3069 | 0.9433 | 0.9109 |
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| 0.0583 | 9.2593 | 9000 | 0.2996 | 0.9450 | 0.9156 |
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| 0.0668 | 9.3621 | 9100 | 0.3026 | 0.9427 | 0.9132 |
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| 0.0615 | 9.4650 | 9200 | 0.3065 | 0.9421 | 0.9115 |
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| 0.0506 | 9.5679 | 9300 | 0.3037 | 0.9439 | 0.9150 |
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| 0.0514 | 9.6708 | 9400 | 0.3012 | 0.9450 | 0.9164 |
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| 0.0447 | 9.7737 | 9500 | 0.3004 | 0.9450 | 0.9156 |
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| 0.0532 | 9.8765 | 9600 | 0.3009 | 0.9444 | 0.9147 |
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| 0.0568 | 9.9794 | 9700 | 0.3012 | 0.9444 | 0.9147 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 2.14.4
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- Tokenizers 0.21.1
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model.safetensors
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training_args.bin
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