ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k10_task2_organization
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8429
- Qwk: 0.4631
- Mse: 0.8429
- Rmse: 0.9181
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0385 | 2 | 4.2390 | -0.0152 | 4.2390 | 2.0589 |
| No log | 0.0769 | 4 | 2.4279 | 0.0444 | 2.4279 | 1.5582 |
| No log | 0.1154 | 6 | 1.3950 | 0.0190 | 1.3950 | 1.1811 |
| No log | 0.1538 | 8 | 1.3345 | -0.0305 | 1.3345 | 1.1552 |
| No log | 0.1923 | 10 | 0.9753 | -0.0673 | 0.9753 | 0.9876 |
| No log | 0.2308 | 12 | 0.7276 | 0.1754 | 0.7276 | 0.8530 |
| No log | 0.2692 | 14 | 0.7335 | 0.1844 | 0.7335 | 0.8565 |
| No log | 0.3077 | 16 | 0.9238 | 0.1198 | 0.9238 | 0.9611 |
| No log | 0.3462 | 18 | 0.8142 | 0.1910 | 0.8142 | 0.9023 |
| No log | 0.3846 | 20 | 0.7527 | 0.1977 | 0.7527 | 0.8676 |
| No log | 0.4231 | 22 | 0.7998 | 0.2217 | 0.7998 | 0.8943 |
| No log | 0.4615 | 24 | 0.9654 | 0.1387 | 0.9654 | 0.9825 |
| No log | 0.5 | 26 | 0.9558 | 0.1879 | 0.9558 | 0.9776 |
| No log | 0.5385 | 28 | 0.9368 | 0.2358 | 0.9368 | 0.9679 |
| No log | 0.5769 | 30 | 0.7613 | 0.2443 | 0.7613 | 0.8725 |
| No log | 0.6154 | 32 | 0.7218 | 0.2947 | 0.7218 | 0.8496 |
| No log | 0.6538 | 34 | 0.7760 | 0.1493 | 0.7760 | 0.8809 |
| No log | 0.6923 | 36 | 0.7449 | 0.3248 | 0.7449 | 0.8631 |
| No log | 0.7308 | 38 | 0.8531 | 0.3235 | 0.8531 | 0.9236 |
| No log | 0.7692 | 40 | 1.0518 | 0.2205 | 1.0518 | 1.0255 |
| No log | 0.8077 | 42 | 1.0192 | 0.2537 | 1.0192 | 1.0096 |
| No log | 0.8462 | 44 | 0.8303 | 0.3807 | 0.8303 | 0.9112 |
| No log | 0.8846 | 46 | 0.7082 | 0.3779 | 0.7082 | 0.8416 |
| No log | 0.9231 | 48 | 0.7099 | 0.3504 | 0.7099 | 0.8425 |
| No log | 0.9615 | 50 | 0.7150 | 0.3414 | 0.7150 | 0.8456 |
| No log | 1.0 | 52 | 0.6835 | 0.3554 | 0.6835 | 0.8268 |
| No log | 1.0385 | 54 | 0.6659 | 0.3784 | 0.6659 | 0.8160 |
| No log | 1.0769 | 56 | 0.7065 | 0.3579 | 0.7065 | 0.8405 |
| No log | 1.1154 | 58 | 0.8901 | 0.3649 | 0.8901 | 0.9435 |
| No log | 1.1538 | 60 | 0.9753 | 0.3382 | 0.9753 | 0.9876 |
| No log | 1.1923 | 62 | 0.9955 | 0.3267 | 0.9955 | 0.9978 |
| No log | 1.2308 | 64 | 1.1133 | 0.2175 | 1.1133 | 1.0551 |
| No log | 1.2692 | 66 | 1.1530 | 0.1534 | 1.1530 | 1.0738 |
| No log | 1.3077 | 68 | 1.0516 | 0.1709 | 1.0516 | 1.0255 |
| No log | 1.3462 | 70 | 0.8716 | 0.2153 | 0.8716 | 0.9336 |
| No log | 1.3846 | 72 | 0.8317 | 0.3205 | 0.8317 | 0.9120 |
| No log | 1.4231 | 74 | 0.9348 | 0.3623 | 0.9348 | 0.9668 |
| No log | 1.4615 | 76 | 0.9214 | 0.3804 | 0.9214 | 0.9599 |
| No log | 1.5 | 78 | 0.8566 | 0.3836 | 0.8566 | 0.9256 |
| No log | 1.5385 | 80 | 0.8492 | 0.2303 | 0.8492 | 0.9215 |
| No log | 1.5769 | 82 | 0.9509 | 0.1219 | 0.9509 | 0.9751 |
| No log | 1.6154 | 84 | 0.9915 | 0.0507 | 0.9915 | 0.9957 |
| No log | 1.6538 | 86 | 0.7559 | 0.2991 | 0.7559 | 0.8694 |
| No log | 1.6923 | 88 | 0.6204 | 0.3953 | 0.6204 | 0.7876 |
| No log | 1.7308 | 90 | 0.6726 | 0.4441 | 0.6726 | 0.8201 |
| No log | 1.7692 | 92 | 0.8128 | 0.3405 | 0.8128 | 0.9015 |
| No log | 1.8077 | 94 | 0.8488 | 0.3494 | 0.8488 | 0.9213 |
| No log | 1.8462 | 96 | 0.7485 | 0.4160 | 0.7485 | 0.8651 |
| No log | 1.8846 | 98 | 0.7217 | 0.4446 | 0.7217 | 0.8496 |
| No log | 1.9231 | 100 | 0.7430 | 0.4584 | 0.7430 | 0.8620 |
| No log | 1.9615 | 102 | 0.8144 | 0.4211 | 0.8144 | 0.9024 |
| No log | 2.0 | 104 | 0.8153 | 0.4631 | 0.8153 | 0.9029 |
| No log | 2.0385 | 106 | 0.8329 | 0.4978 | 0.8329 | 0.9126 |
| No log | 2.0769 | 108 | 0.8429 | 0.4474 | 0.8429 | 0.9181 |
| No log | 2.1154 | 110 | 0.8597 | 0.4491 | 0.8597 | 0.9272 |
| No log | 2.1538 | 112 | 0.8551 | 0.4295 | 0.8551 | 0.9247 |
| No log | 2.1923 | 114 | 0.8567 | 0.4727 | 0.8567 | 0.9256 |
| No log | 2.2308 | 116 | 0.8589 | 0.4743 | 0.8589 | 0.9268 |
| No log | 2.2692 | 118 | 0.8608 | 0.4931 | 0.8608 | 0.9278 |
| No log | 2.3077 | 120 | 0.8883 | 0.4321 | 0.8883 | 0.9425 |
| No log | 2.3462 | 122 | 0.8547 | 0.4614 | 0.8547 | 0.9245 |
| No log | 2.3846 | 124 | 0.8203 | 0.4994 | 0.8203 | 0.9057 |
| No log | 2.4231 | 126 | 0.8720 | 0.4691 | 0.8720 | 0.9338 |
| No log | 2.4615 | 128 | 0.8869 | 0.4311 | 0.8869 | 0.9417 |
| No log | 2.5 | 130 | 0.8738 | 0.4350 | 0.8738 | 0.9347 |
| No log | 2.5385 | 132 | 0.7580 | 0.4961 | 0.7580 | 0.8706 |
| No log | 2.5769 | 134 | 0.7282 | 0.4699 | 0.7282 | 0.8533 |
| No log | 2.6154 | 136 | 0.7984 | 0.3937 | 0.7984 | 0.8935 |
| No log | 2.6538 | 138 | 0.8517 | 0.4021 | 0.8517 | 0.9229 |
| No log | 2.6923 | 140 | 0.8056 | 0.4018 | 0.8056 | 0.8975 |
| No log | 2.7308 | 142 | 0.7224 | 0.3538 | 0.7224 | 0.8499 |
| No log | 2.7692 | 144 | 0.6651 | 0.4115 | 0.6651 | 0.8155 |
| No log | 2.8077 | 146 | 0.6841 | 0.5054 | 0.6841 | 0.8271 |
| No log | 2.8462 | 148 | 0.6875 | 0.4542 | 0.6875 | 0.8292 |
| No log | 2.8846 | 150 | 0.6832 | 0.4184 | 0.6832 | 0.8266 |
| No log | 2.9231 | 152 | 0.7130 | 0.4614 | 0.7130 | 0.8444 |
| No log | 2.9615 | 154 | 0.7084 | 0.4487 | 0.7084 | 0.8417 |
| No log | 3.0 | 156 | 0.7261 | 0.3970 | 0.7261 | 0.8521 |
| No log | 3.0385 | 158 | 0.7605 | 0.4394 | 0.7605 | 0.8721 |
| No log | 3.0769 | 160 | 0.8043 | 0.4834 | 0.8043 | 0.8968 |
| No log | 3.1154 | 162 | 0.8323 | 0.4974 | 0.8323 | 0.9123 |
| No log | 3.1538 | 164 | 0.8113 | 0.4945 | 0.8113 | 0.9007 |
| No log | 3.1923 | 166 | 0.8196 | 0.4462 | 0.8196 | 0.9053 |
| No log | 3.2308 | 168 | 0.8747 | 0.4182 | 0.8747 | 0.9353 |
| No log | 3.2692 | 170 | 0.8658 | 0.3934 | 0.8658 | 0.9305 |
| No log | 3.3077 | 172 | 0.7891 | 0.4294 | 0.7891 | 0.8883 |
| No log | 3.3462 | 174 | 0.7502 | 0.4747 | 0.7502 | 0.8661 |
| No log | 3.3846 | 176 | 0.7631 | 0.5461 | 0.7631 | 0.8736 |
| No log | 3.4231 | 178 | 0.7785 | 0.5166 | 0.7785 | 0.8823 |
| No log | 3.4615 | 180 | 0.8078 | 0.4609 | 0.8078 | 0.8988 |
| No log | 3.5 | 182 | 0.8688 | 0.4325 | 0.8688 | 0.9321 |
| No log | 3.5385 | 184 | 0.8926 | 0.4323 | 0.8926 | 0.9448 |
| No log | 3.5769 | 186 | 0.8700 | 0.4155 | 0.8700 | 0.9327 |
| No log | 3.6154 | 188 | 0.8503 | 0.4098 | 0.8503 | 0.9221 |
| No log | 3.6538 | 190 | 0.8465 | 0.3877 | 0.8465 | 0.9201 |
| No log | 3.6923 | 192 | 0.8402 | 0.4190 | 0.8402 | 0.9166 |
| No log | 3.7308 | 194 | 0.8240 | 0.4052 | 0.8240 | 0.9078 |
| No log | 3.7692 | 196 | 0.7950 | 0.4293 | 0.7950 | 0.8916 |
| No log | 3.8077 | 198 | 0.8008 | 0.4345 | 0.8008 | 0.8949 |
| No log | 3.8462 | 200 | 0.7973 | 0.4559 | 0.7973 | 0.8929 |
| No log | 3.8846 | 202 | 0.8073 | 0.4818 | 0.8073 | 0.8985 |
| No log | 3.9231 | 204 | 0.8371 | 0.4779 | 0.8371 | 0.9150 |
| No log | 3.9615 | 206 | 0.8290 | 0.4824 | 0.8290 | 0.9105 |
| No log | 4.0 | 208 | 0.8254 | 0.4673 | 0.8254 | 0.9085 |
| No log | 4.0385 | 210 | 0.8313 | 0.4595 | 0.8313 | 0.9118 |
| No log | 4.0769 | 212 | 0.8404 | 0.3903 | 0.8404 | 0.9167 |
| No log | 4.1154 | 214 | 0.8466 | 0.4048 | 0.8466 | 0.9201 |
| No log | 4.1538 | 216 | 0.8503 | 0.3900 | 0.8503 | 0.9221 |
| No log | 4.1923 | 218 | 0.8343 | 0.4253 | 0.8343 | 0.9134 |
| No log | 4.2308 | 220 | 0.8126 | 0.4346 | 0.8126 | 0.9015 |
| No log | 4.2692 | 222 | 0.8122 | 0.4515 | 0.8122 | 0.9012 |
| No log | 4.3077 | 224 | 0.7935 | 0.4444 | 0.7935 | 0.8908 |
| No log | 4.3462 | 226 | 0.7637 | 0.4277 | 0.7637 | 0.8739 |
| No log | 4.3846 | 228 | 0.7536 | 0.5179 | 0.7536 | 0.8681 |
| No log | 4.4231 | 230 | 0.7590 | 0.5030 | 0.7590 | 0.8712 |
| No log | 4.4615 | 232 | 0.7498 | 0.4138 | 0.7498 | 0.8659 |
| No log | 4.5 | 234 | 0.7633 | 0.4505 | 0.7633 | 0.8737 |
| No log | 4.5385 | 236 | 0.7989 | 0.4346 | 0.7989 | 0.8938 |
| No log | 4.5769 | 238 | 0.8080 | 0.4496 | 0.8080 | 0.8989 |
| No log | 4.6154 | 240 | 0.8194 | 0.4849 | 0.8194 | 0.9052 |
| No log | 4.6538 | 242 | 0.8415 | 0.4718 | 0.8415 | 0.9173 |
| No log | 4.6923 | 244 | 0.8708 | 0.4934 | 0.8708 | 0.9332 |
| No log | 4.7308 | 246 | 0.8969 | 0.4751 | 0.8969 | 0.9470 |
| No log | 4.7692 | 248 | 0.9035 | 0.4549 | 0.9035 | 0.9505 |
| No log | 4.8077 | 250 | 0.8994 | 0.4483 | 0.8994 | 0.9484 |
| No log | 4.8462 | 252 | 0.9091 | 0.4377 | 0.9091 | 0.9535 |
| No log | 4.8846 | 254 | 0.8715 | 0.4432 | 0.8715 | 0.9335 |
| No log | 4.9231 | 256 | 0.8679 | 0.4613 | 0.8679 | 0.9316 |
| No log | 4.9615 | 258 | 0.9058 | 0.4603 | 0.9058 | 0.9517 |
| No log | 5.0 | 260 | 0.9055 | 0.4592 | 0.9055 | 0.9516 |
| No log | 5.0385 | 262 | 0.8898 | 0.4400 | 0.8898 | 0.9433 |
| No log | 5.0769 | 264 | 0.8876 | 0.4513 | 0.8876 | 0.9421 |
| No log | 5.1154 | 266 | 0.8833 | 0.4668 | 0.8833 | 0.9399 |
| No log | 5.1538 | 268 | 0.8694 | 0.4432 | 0.8694 | 0.9324 |
| No log | 5.1923 | 270 | 0.8460 | 0.4403 | 0.8460 | 0.9198 |
| No log | 5.2308 | 272 | 0.8339 | 0.4401 | 0.8339 | 0.9132 |
| No log | 5.2692 | 274 | 0.8262 | 0.4621 | 0.8262 | 0.9089 |
| No log | 5.3077 | 276 | 0.8404 | 0.4818 | 0.8404 | 0.9167 |
| No log | 5.3462 | 278 | 0.8421 | 0.4764 | 0.8421 | 0.9177 |
| No log | 5.3846 | 280 | 0.8511 | 0.4723 | 0.8511 | 0.9225 |
| No log | 5.4231 | 282 | 0.8648 | 0.4922 | 0.8648 | 0.9299 |
| No log | 5.4615 | 284 | 0.9018 | 0.4658 | 0.9018 | 0.9497 |
| No log | 5.5 | 286 | 0.9356 | 0.4650 | 0.9356 | 0.9673 |
| No log | 5.5385 | 288 | 0.9356 | 0.4650 | 0.9356 | 0.9672 |
| No log | 5.5769 | 290 | 0.9049 | 0.4833 | 0.9049 | 0.9512 |
| No log | 5.6154 | 292 | 0.8946 | 0.4840 | 0.8946 | 0.9458 |
| No log | 5.6538 | 294 | 0.9207 | 0.4507 | 0.9207 | 0.9595 |
| No log | 5.6923 | 296 | 0.9147 | 0.4473 | 0.9147 | 0.9564 |
| No log | 5.7308 | 298 | 0.8608 | 0.4809 | 0.8608 | 0.9278 |
| No log | 5.7692 | 300 | 0.8200 | 0.4751 | 0.8200 | 0.9056 |
| No log | 5.8077 | 302 | 0.8205 | 0.5025 | 0.8205 | 0.9058 |
| No log | 5.8462 | 304 | 0.8312 | 0.4493 | 0.8312 | 0.9117 |
| No log | 5.8846 | 306 | 0.8164 | 0.4493 | 0.8164 | 0.9035 |
| No log | 5.9231 | 308 | 0.8043 | 0.4992 | 0.8043 | 0.8968 |
| No log | 5.9615 | 310 | 0.7937 | 0.4852 | 0.7937 | 0.8909 |
| No log | 6.0 | 312 | 0.7992 | 0.4852 | 0.7992 | 0.8940 |
| No log | 6.0385 | 314 | 0.8082 | 0.4960 | 0.8082 | 0.8990 |
| No log | 6.0769 | 316 | 0.8349 | 0.4724 | 0.8349 | 0.9137 |
| No log | 6.1154 | 318 | 0.8542 | 0.4440 | 0.8542 | 0.9242 |
| No log | 6.1538 | 320 | 0.8691 | 0.4651 | 0.8691 | 0.9322 |
| No log | 6.1923 | 322 | 0.8663 | 0.4587 | 0.8663 | 0.9307 |
| No log | 6.2308 | 324 | 0.8696 | 0.4461 | 0.8696 | 0.9325 |
| No log | 6.2692 | 326 | 0.8650 | 0.4539 | 0.8650 | 0.9300 |
| No log | 6.3077 | 328 | 0.8480 | 0.4755 | 0.8480 | 0.9209 |
| No log | 6.3462 | 330 | 0.8442 | 0.4796 | 0.8442 | 0.9188 |
| No log | 6.3846 | 332 | 0.8466 | 0.4914 | 0.8466 | 0.9201 |
| No log | 6.4231 | 334 | 0.8439 | 0.5029 | 0.8439 | 0.9186 |
| No log | 6.4615 | 336 | 0.8511 | 0.4890 | 0.8511 | 0.9225 |
| No log | 6.5 | 338 | 0.8483 | 0.4183 | 0.8483 | 0.9210 |
| No log | 6.5385 | 340 | 0.8306 | 0.4180 | 0.8306 | 0.9114 |
| No log | 6.5769 | 342 | 0.8166 | 0.4874 | 0.8166 | 0.9037 |
| No log | 6.6154 | 344 | 0.8109 | 0.4822 | 0.8109 | 0.9005 |
| No log | 6.6538 | 346 | 0.8094 | 0.4822 | 0.8094 | 0.8996 |
| No log | 6.6923 | 348 | 0.8067 | 0.4975 | 0.8067 | 0.8982 |
| No log | 6.7308 | 350 | 0.8063 | 0.4967 | 0.8063 | 0.8980 |
| No log | 6.7692 | 352 | 0.8068 | 0.4983 | 0.8068 | 0.8982 |
| No log | 6.8077 | 354 | 0.8006 | 0.4536 | 0.8006 | 0.8948 |
| No log | 6.8462 | 356 | 0.8002 | 0.4691 | 0.8002 | 0.8945 |
| No log | 6.8846 | 358 | 0.7933 | 0.4634 | 0.7933 | 0.8907 |
| No log | 6.9231 | 360 | 0.7958 | 0.4634 | 0.7958 | 0.8921 |
| No log | 6.9615 | 362 | 0.8118 | 0.4463 | 0.8118 | 0.9010 |
| No log | 7.0 | 364 | 0.8487 | 0.4342 | 0.8487 | 0.9213 |
| No log | 7.0385 | 366 | 0.8825 | 0.4196 | 0.8825 | 0.9394 |
| No log | 7.0769 | 368 | 0.8764 | 0.4196 | 0.8764 | 0.9362 |
| No log | 7.1154 | 370 | 0.8568 | 0.4342 | 0.8568 | 0.9256 |
| No log | 7.1538 | 372 | 0.8438 | 0.4696 | 0.8438 | 0.9186 |
| No log | 7.1923 | 374 | 0.8491 | 0.4588 | 0.8491 | 0.9215 |
| No log | 7.2308 | 376 | 0.8644 | 0.4658 | 0.8644 | 0.9297 |
| No log | 7.2692 | 378 | 0.8926 | 0.4411 | 0.8926 | 0.9448 |
| No log | 7.3077 | 380 | 0.9323 | 0.4341 | 0.9323 | 0.9655 |
| No log | 7.3462 | 382 | 0.9371 | 0.4411 | 0.9371 | 0.9680 |
| No log | 7.3846 | 384 | 0.9580 | 0.4340 | 0.9580 | 0.9788 |
| No log | 7.4231 | 386 | 0.9682 | 0.4409 | 0.9682 | 0.9840 |
| No log | 7.4615 | 388 | 0.9522 | 0.4409 | 0.9522 | 0.9758 |
| No log | 7.5 | 390 | 0.9212 | 0.4848 | 0.9212 | 0.9598 |
| No log | 7.5385 | 392 | 0.9174 | 0.4985 | 0.9174 | 0.9578 |
| No log | 7.5769 | 394 | 0.9316 | 0.4906 | 0.9316 | 0.9652 |
| No log | 7.6154 | 396 | 0.9771 | 0.4339 | 0.9771 | 0.9885 |
| No log | 7.6538 | 398 | 1.0207 | 0.4286 | 1.0207 | 1.0103 |
| No log | 7.6923 | 400 | 1.0645 | 0.4334 | 1.0645 | 1.0317 |
| No log | 7.7308 | 402 | 1.0994 | 0.4118 | 1.0994 | 1.0485 |
| No log | 7.7692 | 404 | 1.0966 | 0.4095 | 1.0966 | 1.0472 |
| No log | 7.8077 | 406 | 1.0471 | 0.4383 | 1.0471 | 1.0233 |
| No log | 7.8462 | 408 | 0.9846 | 0.4497 | 0.9846 | 0.9923 |
| No log | 7.8846 | 410 | 0.9483 | 0.4852 | 0.9483 | 0.9738 |
| No log | 7.9231 | 412 | 0.9306 | 0.4803 | 0.9306 | 0.9647 |
| No log | 7.9615 | 414 | 0.9039 | 0.4639 | 0.9039 | 0.9507 |
| No log | 8.0 | 416 | 0.8760 | 0.4753 | 0.8760 | 0.9359 |
| No log | 8.0385 | 418 | 0.8576 | 0.4839 | 0.8576 | 0.9261 |
| No log | 8.0769 | 420 | 0.8485 | 0.4555 | 0.8485 | 0.9211 |
| No log | 8.1154 | 422 | 0.8546 | 0.4253 | 0.8546 | 0.9244 |
| No log | 8.1538 | 424 | 0.8655 | 0.4215 | 0.8655 | 0.9303 |
| No log | 8.1923 | 426 | 0.8729 | 0.4215 | 0.8729 | 0.9343 |
| No log | 8.2308 | 428 | 0.8696 | 0.4195 | 0.8696 | 0.9325 |
| No log | 8.2692 | 430 | 0.8570 | 0.4215 | 0.8570 | 0.9257 |
| No log | 8.3077 | 432 | 0.8461 | 0.4159 | 0.8461 | 0.9198 |
| No log | 8.3462 | 434 | 0.8395 | 0.4593 | 0.8395 | 0.9162 |
| No log | 8.3846 | 436 | 0.8326 | 0.4566 | 0.8326 | 0.9125 |
| No log | 8.4231 | 438 | 0.8344 | 0.4767 | 0.8344 | 0.9134 |
| No log | 8.4615 | 440 | 0.8270 | 0.4722 | 0.8270 | 0.9094 |
| No log | 8.5 | 442 | 0.8248 | 0.4676 | 0.8248 | 0.9082 |
| No log | 8.5385 | 444 | 0.8262 | 0.4740 | 0.8262 | 0.9090 |
| No log | 8.5769 | 446 | 0.8320 | 0.4740 | 0.8320 | 0.9122 |
| No log | 8.6154 | 448 | 0.8425 | 0.4722 | 0.8425 | 0.9179 |
| No log | 8.6538 | 450 | 0.8507 | 0.4310 | 0.8507 | 0.9223 |
| No log | 8.6923 | 452 | 0.8547 | 0.4363 | 0.8547 | 0.9245 |
| No log | 8.7308 | 454 | 0.8610 | 0.4363 | 0.8610 | 0.9279 |
| No log | 8.7692 | 456 | 0.8591 | 0.4363 | 0.8591 | 0.9269 |
| No log | 8.8077 | 458 | 0.8551 | 0.4363 | 0.8551 | 0.9247 |
| No log | 8.8462 | 460 | 0.8429 | 0.4644 | 0.8429 | 0.9181 |
| No log | 8.8846 | 462 | 0.8430 | 0.4790 | 0.8430 | 0.9181 |
| No log | 8.9231 | 464 | 0.8483 | 0.4802 | 0.8483 | 0.9210 |
| No log | 8.9615 | 466 | 0.8529 | 0.5016 | 0.8529 | 0.9235 |
| No log | 9.0 | 468 | 0.8562 | 0.5008 | 0.8562 | 0.9253 |
| No log | 9.0385 | 470 | 0.8605 | 0.5008 | 0.8605 | 0.9276 |
| No log | 9.0769 | 472 | 0.8680 | 0.4796 | 0.8680 | 0.9317 |
| No log | 9.1154 | 474 | 0.8744 | 0.4790 | 0.8744 | 0.9351 |
| No log | 9.1538 | 476 | 0.8806 | 0.4538 | 0.8806 | 0.9384 |
| No log | 9.1923 | 478 | 0.8816 | 0.4535 | 0.8816 | 0.9390 |
| No log | 9.2308 | 480 | 0.8780 | 0.4538 | 0.8780 | 0.9370 |
| No log | 9.2692 | 482 | 0.8768 | 0.4345 | 0.8768 | 0.9364 |
| No log | 9.3077 | 484 | 0.8740 | 0.4344 | 0.8740 | 0.9349 |
| No log | 9.3462 | 486 | 0.8684 | 0.4328 | 0.8684 | 0.9319 |
| No log | 9.3846 | 488 | 0.8621 | 0.4328 | 0.8621 | 0.9285 |
| No log | 9.4231 | 490 | 0.8579 | 0.4328 | 0.8579 | 0.9262 |
| No log | 9.4615 | 492 | 0.8584 | 0.4328 | 0.8584 | 0.9265 |
| No log | 9.5 | 494 | 0.8623 | 0.4380 | 0.8623 | 0.9286 |
| No log | 9.5385 | 496 | 0.8621 | 0.4380 | 0.8621 | 0.9285 |
| No log | 9.5769 | 498 | 0.8625 | 0.4619 | 0.8625 | 0.9287 |
| 0.4013 | 9.6154 | 500 | 0.8649 | 0.4480 | 0.8649 | 0.9300 |
| 0.4013 | 9.6538 | 502 | 0.8649 | 0.4480 | 0.8649 | 0.9300 |
| 0.4013 | 9.6923 | 504 | 0.8624 | 0.4480 | 0.8624 | 0.9287 |
| 0.4013 | 9.7308 | 506 | 0.8582 | 0.4480 | 0.8582 | 0.9264 |
| 0.4013 | 9.7692 | 508 | 0.8536 | 0.4483 | 0.8536 | 0.9239 |
| 0.4013 | 9.8077 | 510 | 0.8500 | 0.4483 | 0.8500 | 0.9219 |
| 0.4013 | 9.8462 | 512 | 0.8468 | 0.4380 | 0.8468 | 0.9202 |
| 0.4013 | 9.8846 | 514 | 0.8444 | 0.4380 | 0.8444 | 0.9189 |
| 0.4013 | 9.9231 | 516 | 0.8434 | 0.4631 | 0.8434 | 0.9184 |
| 0.4013 | 9.9615 | 518 | 0.8430 | 0.4631 | 0.8430 | 0.9182 |
| 0.4013 | 10.0 | 520 | 0.8429 | 0.4631 | 0.8429 | 0.9181 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02