ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_task1_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: 0.7644
  • Qwk: 0.5851
  • Mse: 0.7644
  • Rmse: 0.8743

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: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0241 2 5.2045 -0.0281 5.2045 2.2813
No log 0.0482 4 3.0640 0.0736 3.0640 1.7504
No log 0.0723 6 2.0087 0.0487 2.0087 1.4173
No log 0.0964 8 1.5531 0.1297 1.5531 1.2462
No log 0.1205 10 1.2327 0.2197 1.2327 1.1103
No log 0.1446 12 1.4062 0.1938 1.4062 1.1858
No log 0.1687 14 1.8072 0.0998 1.8072 1.3443
No log 0.1928 16 1.5046 0.0708 1.5046 1.2266
No log 0.2169 18 1.2379 0.2719 1.2379 1.1126
No log 0.2410 20 1.1235 0.2121 1.1235 1.0599
No log 0.2651 22 1.1178 0.2005 1.1178 1.0572
No log 0.2892 24 1.1161 0.2433 1.1161 1.0565
No log 0.3133 26 1.0918 0.2401 1.0918 1.0449
No log 0.3373 28 1.0768 0.2696 1.0768 1.0377
No log 0.3614 30 1.2328 0.3030 1.2328 1.1103
No log 0.3855 32 1.3740 0.2005 1.3740 1.1722
No log 0.4096 34 1.1937 0.3541 1.1937 1.0926
No log 0.4337 36 0.9586 0.3833 0.9586 0.9791
No log 0.4578 38 0.9570 0.4271 0.9570 0.9783
No log 0.4819 40 0.9338 0.4525 0.9338 0.9663
No log 0.5060 42 0.9017 0.4901 0.9017 0.9496
No log 0.5301 44 0.9293 0.4383 0.9293 0.9640
No log 0.5542 46 0.9208 0.5531 0.9208 0.9596
No log 0.5783 48 0.9931 0.4774 0.9931 0.9965
No log 0.6024 50 1.0096 0.4412 1.0096 1.0048
No log 0.6265 52 0.9557 0.5049 0.9557 0.9776
No log 0.6506 54 0.9991 0.4491 0.9991 0.9996
No log 0.6747 56 1.0359 0.4063 1.0359 1.0178
No log 0.6988 58 1.1256 0.3595 1.1256 1.0609
No log 0.7229 60 1.2398 0.3491 1.2398 1.1135
No log 0.7470 62 1.2275 0.3557 1.2275 1.1079
No log 0.7711 64 1.1574 0.3386 1.1574 1.0758
No log 0.7952 66 1.3216 0.2384 1.3216 1.1496
No log 0.8193 68 1.4097 0.1973 1.4097 1.1873
No log 0.8434 70 1.1549 0.3441 1.1549 1.0747
No log 0.8675 72 0.9096 0.5079 0.9096 0.9537
No log 0.8916 74 0.9087 0.5063 0.9087 0.9533
No log 0.9157 76 0.9984 0.4545 0.9984 0.9992
No log 0.9398 78 1.1789 0.3607 1.1789 1.0858
No log 0.9639 80 1.1001 0.4745 1.1001 1.0488
No log 0.9880 82 0.8940 0.5309 0.8940 0.9455
No log 1.0120 84 0.8556 0.5838 0.8556 0.9250
No log 1.0361 86 1.0472 0.4830 1.0472 1.0233
No log 1.0602 88 1.1385 0.4354 1.1385 1.0670
No log 1.0843 90 0.9823 0.4870 0.9823 0.9911
No log 1.1084 92 0.8288 0.5524 0.8288 0.9104
No log 1.1325 94 0.8399 0.5311 0.8399 0.9164
No log 1.1566 96 0.8475 0.5436 0.8475 0.9206
No log 1.1807 98 1.0867 0.4767 1.0867 1.0424
No log 1.2048 100 1.0728 0.4586 1.0728 1.0358
No log 1.2289 102 0.8624 0.5639 0.8624 0.9287
No log 1.2530 104 0.8177 0.5750 0.8177 0.9043
No log 1.2771 106 0.8760 0.5576 0.8760 0.9360
No log 1.3012 108 1.0993 0.4171 1.0993 1.0485
No log 1.3253 110 1.2383 0.3116 1.2383 1.1128
No log 1.3494 112 1.0759 0.3538 1.0759 1.0372
No log 1.3735 114 0.8951 0.4495 0.8951 0.9461
No log 1.3976 116 0.8730 0.4681 0.8730 0.9343
No log 1.4217 118 0.8479 0.5099 0.8479 0.9208
No log 1.4458 120 0.8203 0.5099 0.8203 0.9057
No log 1.4699 122 0.7910 0.5102 0.7910 0.8894
No log 1.4940 124 0.9543 0.5770 0.9543 0.9769
No log 1.5181 126 0.9721 0.5718 0.9721 0.9860
No log 1.5422 128 0.8096 0.5671 0.8096 0.8998
No log 1.5663 130 0.7329 0.5943 0.7329 0.8561
No log 1.5904 132 0.8337 0.5609 0.8337 0.9130
No log 1.6145 134 0.8315 0.5497 0.8315 0.9118
No log 1.6386 136 0.7517 0.5506 0.7517 0.8670
No log 1.6627 138 0.8554 0.4983 0.8554 0.9249
No log 1.6867 140 0.8933 0.5176 0.8933 0.9451
No log 1.7108 142 0.7816 0.4966 0.7816 0.8841
No log 1.7349 144 0.7624 0.5308 0.7624 0.8732
No log 1.7590 146 0.8138 0.5728 0.8138 0.9021
No log 1.7831 148 0.8301 0.5944 0.8301 0.9111
No log 1.8072 150 0.8123 0.6013 0.8123 0.9013
No log 1.8313 152 0.8399 0.6088 0.8399 0.9165
No log 1.8554 154 0.9838 0.5669 0.9838 0.9919
No log 1.8795 156 1.2384 0.4232 1.2384 1.1128
No log 1.9036 158 1.1886 0.5007 1.1886 1.0902
No log 1.9277 160 0.8972 0.6281 0.8972 0.9472
No log 1.9518 162 0.7874 0.6834 0.7874 0.8874
No log 1.9759 164 0.8361 0.6283 0.8361 0.9144
No log 2.0 166 1.0125 0.5657 1.0125 1.0062
No log 2.0241 168 0.9694 0.5542 0.9694 0.9846
No log 2.0482 170 0.7904 0.5840 0.7904 0.8890
No log 2.0723 172 0.7330 0.5901 0.7330 0.8562
No log 2.0964 174 0.7410 0.5946 0.7410 0.8608
No log 2.1205 176 0.7499 0.5785 0.7499 0.8659
No log 2.1446 178 0.7644 0.5736 0.7644 0.8743
No log 2.1687 180 1.0604 0.5343 1.0604 1.0298
No log 2.1928 182 1.2669 0.4866 1.2669 1.1256
No log 2.2169 184 1.1541 0.5217 1.1541 1.0743
No log 2.2410 186 1.0348 0.5414 1.0348 1.0172
No log 2.2651 188 0.9938 0.5397 0.9938 0.9969
No log 2.2892 190 0.9888 0.5705 0.9888 0.9944
No log 2.3133 192 0.9011 0.5445 0.9011 0.9492
No log 2.3373 194 0.8861 0.5632 0.8861 0.9413
No log 2.3614 196 0.9365 0.5341 0.9365 0.9677
No log 2.3855 198 0.9132 0.4975 0.9132 0.9556
No log 2.4096 200 0.8755 0.5155 0.8755 0.9357
No log 2.4337 202 0.8589 0.6145 0.8589 0.9268
No log 2.4578 204 0.8752 0.6148 0.8752 0.9355
No log 2.4819 206 0.8393 0.6588 0.8393 0.9161
No log 2.5060 208 0.8751 0.6339 0.8751 0.9355
No log 2.5301 210 0.7715 0.6460 0.7715 0.8784
No log 2.5542 212 0.7423 0.6562 0.7423 0.8616
No log 2.5783 214 0.8038 0.6364 0.8038 0.8965
No log 2.6024 216 0.7357 0.6228 0.7357 0.8577
No log 2.6265 218 0.7024 0.5950 0.7024 0.8381
No log 2.6506 220 0.6948 0.5893 0.6948 0.8336
No log 2.6747 222 0.6863 0.5856 0.6863 0.8284
No log 2.6988 224 0.6989 0.5695 0.6989 0.8360
No log 2.7229 226 0.6673 0.5888 0.6673 0.8169
No log 2.7470 228 0.6607 0.6258 0.6607 0.8129
No log 2.7711 230 0.6651 0.6299 0.6651 0.8156
No log 2.7952 232 0.6315 0.6723 0.6315 0.7947
No log 2.8193 234 0.7019 0.6704 0.7019 0.8378
No log 2.8434 236 0.7335 0.6306 0.7335 0.8564
No log 2.8675 238 0.6908 0.6325 0.6908 0.8312
No log 2.8916 240 0.6880 0.6177 0.6880 0.8295
No log 2.9157 242 0.6946 0.6018 0.6946 0.8334
No log 2.9398 244 0.6895 0.6095 0.6895 0.8303
No log 2.9639 246 0.6886 0.6067 0.6886 0.8298
No log 2.9880 248 0.7313 0.6181 0.7313 0.8552
No log 3.0120 250 0.7931 0.6292 0.7931 0.8906
No log 3.0361 252 0.7455 0.6490 0.7455 0.8634
No log 3.0602 254 0.7738 0.6425 0.7738 0.8797
No log 3.0843 256 0.8633 0.6074 0.8633 0.9291
No log 3.1084 258 0.7883 0.6324 0.7883 0.8879
No log 3.1325 260 0.6983 0.6222 0.6983 0.8356
No log 3.1566 262 0.6903 0.6380 0.6903 0.8308
No log 3.1807 264 0.6859 0.6419 0.6859 0.8282
No log 3.2048 266 0.7079 0.6643 0.7079 0.8414
No log 3.2289 268 0.8228 0.625 0.8228 0.9071
No log 3.2530 270 0.8612 0.6111 0.8612 0.9280
No log 3.2771 272 0.7434 0.6722 0.7434 0.8622
No log 3.3012 274 0.7248 0.6869 0.7248 0.8513
No log 3.3253 276 0.7004 0.6683 0.7004 0.8369
No log 3.3494 278 0.6512 0.6411 0.6512 0.8070
No log 3.3735 280 0.6632 0.6207 0.6632 0.8144
No log 3.3976 282 0.6572 0.6207 0.6572 0.8107
No log 3.4217 284 0.6402 0.6386 0.6402 0.8001
No log 3.4458 286 0.7243 0.6646 0.7243 0.8510
No log 3.4699 288 0.7056 0.6951 0.7056 0.8400
No log 3.4940 290 0.6429 0.6800 0.6429 0.8018
No log 3.5181 292 0.6734 0.6665 0.6734 0.8206
No log 3.5422 294 0.6738 0.6547 0.6738 0.8209
No log 3.5663 296 0.6367 0.6783 0.6367 0.7979
No log 3.5904 298 0.7593 0.6209 0.7593 0.8714
No log 3.6145 300 0.8513 0.5930 0.8513 0.9227
No log 3.6386 302 0.7804 0.6125 0.7804 0.8834
No log 3.6627 304 0.6838 0.5813 0.6838 0.8269
No log 3.6867 306 0.6579 0.6145 0.6579 0.8111
No log 3.7108 308 0.6542 0.6607 0.6542 0.8088
No log 3.7349 310 0.6863 0.6325 0.6863 0.8284
No log 3.7590 312 0.7736 0.6075 0.7736 0.8795
No log 3.7831 314 0.7829 0.5946 0.7829 0.8848
No log 3.8072 316 0.7275 0.5697 0.7275 0.8529
No log 3.8313 318 0.6855 0.5329 0.6855 0.8280
No log 3.8554 320 0.6578 0.5809 0.6578 0.8110
No log 3.8795 322 0.6408 0.6391 0.6408 0.8005
No log 3.9036 324 0.6721 0.6675 0.6721 0.8198
No log 3.9277 326 0.6917 0.6626 0.6917 0.8317
No log 3.9518 328 0.6635 0.7030 0.6635 0.8146
No log 3.9759 330 0.6627 0.6931 0.6627 0.8141
No log 4.0 332 0.6427 0.6791 0.6427 0.8017
No log 4.0241 334 0.6469 0.6449 0.6469 0.8043
No log 4.0482 336 0.6691 0.6283 0.6691 0.8180
No log 4.0723 338 0.6550 0.6277 0.6550 0.8093
No log 4.0964 340 0.6551 0.6053 0.6551 0.8094
No log 4.1205 342 0.6882 0.6285 0.6882 0.8296
No log 4.1446 344 0.6665 0.6007 0.6665 0.8164
No log 4.1687 346 0.6601 0.6390 0.6601 0.8124
No log 4.1928 348 0.6766 0.6513 0.6766 0.8226
No log 4.2169 350 0.6539 0.6425 0.6539 0.8086
No log 4.2410 352 0.6522 0.6542 0.6522 0.8076
No log 4.2651 354 0.6538 0.6497 0.6538 0.8086
No log 4.2892 356 0.6492 0.5928 0.6492 0.8057
No log 4.3133 358 0.6521 0.5972 0.6521 0.8075
No log 4.3373 360 0.6644 0.6118 0.6644 0.8151
No log 4.3614 362 0.6495 0.6378 0.6495 0.8059
No log 4.3855 364 0.6661 0.6797 0.6661 0.8162
No log 4.4096 366 0.7466 0.6499 0.7466 0.8641
No log 4.4337 368 0.7430 0.6508 0.7430 0.8620
No log 4.4578 370 0.6625 0.6865 0.6625 0.8139
No log 4.4819 372 0.6895 0.7094 0.6895 0.8304
No log 4.5060 374 0.7184 0.6913 0.7184 0.8476
No log 4.5301 376 0.6691 0.6383 0.6691 0.8180
No log 4.5542 378 0.6477 0.6258 0.6477 0.8048
No log 4.5783 380 0.6646 0.6388 0.6646 0.8152
No log 4.6024 382 0.6430 0.6504 0.6430 0.8019
No log 4.6265 384 0.6703 0.6633 0.6703 0.8187
No log 4.6506 386 0.8246 0.6302 0.8246 0.9081
No log 4.6747 388 0.8855 0.5993 0.8855 0.9410
No log 4.6988 390 0.8086 0.6389 0.8086 0.8992
No log 4.7229 392 0.7446 0.7144 0.7446 0.8629
No log 4.7470 394 0.7595 0.7049 0.7595 0.8715
No log 4.7711 396 0.8860 0.6299 0.8860 0.9413
No log 4.7952 398 1.1447 0.4872 1.1447 1.0699
No log 4.8193 400 1.1445 0.4994 1.1445 1.0698
No log 4.8434 402 0.9594 0.5556 0.9594 0.9795
No log 4.8675 404 0.7795 0.6028 0.7795 0.8829
No log 4.8916 406 0.7098 0.6510 0.7098 0.8425
No log 4.9157 408 0.6996 0.6278 0.6996 0.8364
No log 4.9398 410 0.6965 0.6425 0.6965 0.8346
No log 4.9639 412 0.7378 0.6295 0.7378 0.8590
No log 4.9880 414 0.8269 0.6301 0.8269 0.9093
No log 5.0120 416 0.8667 0.6317 0.8667 0.9310
No log 5.0361 418 0.7899 0.6452 0.7899 0.8888
No log 5.0602 420 0.6758 0.6969 0.6758 0.8221
No log 5.0843 422 0.6534 0.6616 0.6534 0.8083
No log 5.1084 424 0.6609 0.6445 0.6609 0.8129
No log 5.1325 426 0.6589 0.6319 0.6589 0.8117
No log 5.1566 428 0.6950 0.5944 0.6950 0.8337
No log 5.1807 430 0.6976 0.6116 0.6976 0.8352
No log 5.2048 432 0.6746 0.6078 0.6746 0.8213
No log 5.2289 434 0.7029 0.6219 0.7029 0.8384
No log 5.2530 436 0.6936 0.6146 0.6936 0.8328
No log 5.2771 438 0.6811 0.6445 0.6811 0.8253
No log 5.3012 440 0.7126 0.6958 0.7126 0.8442
No log 5.3253 442 0.7105 0.6958 0.7105 0.8429
No log 5.3494 444 0.7363 0.6799 0.7363 0.8581
No log 5.3735 446 0.6935 0.6809 0.6935 0.8328
No log 5.3976 448 0.6565 0.6875 0.6565 0.8102
No log 5.4217 450 0.6534 0.6728 0.6534 0.8083
No log 5.4458 452 0.6990 0.6967 0.6990 0.8360
No log 5.4699 454 0.6987 0.6803 0.6987 0.8359
No log 5.4940 456 0.6544 0.6718 0.6544 0.8089
No log 5.5181 458 0.6908 0.6524 0.6908 0.8312
No log 5.5422 460 0.7768 0.6360 0.7768 0.8813
No log 5.5663 462 0.7934 0.6372 0.7934 0.8907
No log 5.5904 464 0.7084 0.6654 0.7084 0.8416
No log 5.6145 466 0.6528 0.7069 0.6528 0.8080
No log 5.6386 468 0.7711 0.6548 0.7711 0.8781
No log 5.6627 470 0.8875 0.5903 0.8875 0.9420
No log 5.6867 472 0.8448 0.6122 0.8448 0.9192
No log 5.7108 474 0.7268 0.6653 0.7268 0.8525
No log 5.7349 476 0.6637 0.6445 0.6637 0.8147
No log 5.7590 478 0.7670 0.6296 0.7670 0.8758
No log 5.7831 480 0.8760 0.6207 0.8760 0.9359
No log 5.8072 482 0.8643 0.6200 0.8643 0.9297
No log 5.8313 484 0.7909 0.6034 0.7909 0.8893
No log 5.8554 486 0.7117 0.5262 0.7117 0.8436
No log 5.8795 488 0.7180 0.5748 0.7180 0.8473
No log 5.9036 490 0.7533 0.5561 0.7533 0.8679
No log 5.9277 492 0.7600 0.5449 0.7600 0.8718
No log 5.9518 494 0.7430 0.4969 0.7430 0.8620
No log 5.9759 496 0.7402 0.5226 0.7402 0.8603
No log 6.0 498 0.7407 0.5677 0.7407 0.8606
0.4309 6.0241 500 0.7130 0.6167 0.7130 0.8444
0.4309 6.0482 502 0.6953 0.6486 0.6953 0.8338
0.4309 6.0723 504 0.6573 0.7063 0.6573 0.8107
0.4309 6.0964 506 0.6406 0.6689 0.6406 0.8003
0.4309 6.1205 508 0.6526 0.6635 0.6526 0.8078
0.4309 6.1446 510 0.6428 0.6797 0.6428 0.8017
0.4309 6.1687 512 0.6292 0.6658 0.6292 0.7932
0.4309 6.1928 514 0.6272 0.6590 0.6272 0.7920
0.4309 6.2169 516 0.6274 0.6870 0.6274 0.7921
0.4309 6.2410 518 0.6187 0.7023 0.6187 0.7866
0.4309 6.2651 520 0.7179 0.6828 0.7179 0.8473
0.4309 6.2892 522 0.7923 0.6495 0.7923 0.8901
0.4309 6.3133 524 0.7400 0.6623 0.7400 0.8603
0.4309 6.3373 526 0.8016 0.6551 0.8016 0.8953
0.4309 6.3614 528 0.8297 0.6173 0.8297 0.9109
0.4309 6.3855 530 0.8030 0.5998 0.8030 0.8961
0.4309 6.4096 532 0.7291 0.6194 0.7291 0.8539
0.4309 6.4337 534 0.6685 0.6496 0.6685 0.8176
0.4309 6.4578 536 0.6554 0.7008 0.6554 0.8096
0.4309 6.4819 538 0.6806 0.6863 0.6806 0.8250
0.4309 6.5060 540 0.7317 0.6886 0.7317 0.8554
0.4309 6.5301 542 0.7808 0.6439 0.7808 0.8837
0.4309 6.5542 544 0.8269 0.6088 0.8269 0.9093
0.4309 6.5783 546 0.9205 0.5375 0.9205 0.9594
0.4309 6.6024 548 0.8838 0.5484 0.8837 0.9401
0.4309 6.6265 550 0.8038 0.6156 0.8038 0.8966
0.4309 6.6506 552 0.8035 0.6297 0.8035 0.8964
0.4309 6.6747 554 0.8063 0.6472 0.8063 0.8979
0.4309 6.6988 556 0.8033 0.6297 0.8033 0.8963
0.4309 6.7229 558 0.8109 0.6223 0.8109 0.9005
0.4309 6.7470 560 0.8184 0.6091 0.8184 0.9047
0.4309 6.7711 562 0.7761 0.6154 0.7761 0.8810
0.4309 6.7952 564 0.7398 0.6537 0.7398 0.8601
0.4309 6.8193 566 0.6972 0.6864 0.6972 0.8350
0.4309 6.8434 568 0.6852 0.6657 0.6852 0.8278
0.4309 6.8675 570 0.6726 0.6794 0.6726 0.8201
0.4309 6.8916 572 0.6706 0.7245 0.6706 0.8189
0.4309 6.9157 574 0.7457 0.7007 0.7457 0.8635
0.4309 6.9398 576 0.8143 0.6467 0.8143 0.9024
0.4309 6.9639 578 0.7573 0.7011 0.7573 0.8702
0.4309 6.9880 580 0.6512 0.7384 0.6512 0.8070
0.4309 7.0120 582 0.6277 0.6689 0.6277 0.7923
0.4309 7.0361 584 0.6391 0.6709 0.6391 0.7994
0.4309 7.0602 586 0.6330 0.6731 0.6330 0.7956
0.4309 7.0843 588 0.6446 0.7244 0.6446 0.8028
0.4309 7.1084 590 0.7262 0.6939 0.7262 0.8522
0.4309 7.1325 592 0.7520 0.6969 0.7520 0.8672
0.4309 7.1566 594 0.7150 0.6854 0.7150 0.8455
0.4309 7.1807 596 0.7142 0.6874 0.7142 0.8451
0.4309 7.2048 598 0.6971 0.6942 0.6971 0.8349
0.4309 7.2289 600 0.6623 0.6571 0.6623 0.8138
0.4309 7.2530 602 0.6630 0.6407 0.6630 0.8143
0.4309 7.2771 604 0.6638 0.6316 0.6638 0.8148
0.4309 7.3012 606 0.6651 0.6484 0.6651 0.8156
0.4309 7.3253 608 0.6692 0.6714 0.6692 0.8180
0.4309 7.3494 610 0.7132 0.6823 0.7132 0.8445
0.4309 7.3735 612 0.7390 0.6827 0.7390 0.8597
0.4309 7.3976 614 0.6819 0.6932 0.6819 0.8258
0.4309 7.4217 616 0.6419 0.6914 0.6419 0.8012
0.4309 7.4458 618 0.6194 0.6838 0.6194 0.7870
0.4309 7.4699 620 0.6213 0.6875 0.6213 0.7882
0.4309 7.4940 622 0.6346 0.6540 0.6346 0.7966
0.4309 7.5181 624 0.6749 0.6464 0.6749 0.8215
0.4309 7.5422 626 0.6878 0.6464 0.6878 0.8293
0.4309 7.5663 628 0.6514 0.6584 0.6514 0.8071
0.4309 7.5904 630 0.6341 0.6715 0.6341 0.7963
0.4309 7.6145 632 0.6245 0.6804 0.6245 0.7902
0.4309 7.6386 634 0.6531 0.7009 0.6531 0.8081
0.4309 7.6627 636 0.6917 0.6997 0.6917 0.8317
0.4309 7.6867 638 0.6815 0.7042 0.6815 0.8255
0.4309 7.7108 640 0.6568 0.6819 0.6568 0.8104
0.4309 7.7349 642 0.6565 0.7183 0.6565 0.8102
0.4309 7.7590 644 0.6576 0.6939 0.6576 0.8109
0.4309 7.7831 646 0.6624 0.6572 0.6624 0.8139
0.4309 7.8072 648 0.6648 0.6730 0.6648 0.8154
0.4309 7.8313 650 0.6882 0.6731 0.6882 0.8296
0.4309 7.8554 652 0.7594 0.6554 0.7594 0.8715
0.4309 7.8795 654 0.7877 0.6494 0.7877 0.8875
0.4309 7.9036 656 0.7776 0.6475 0.7776 0.8818
0.4309 7.9277 658 0.7435 0.6505 0.7435 0.8623
0.4309 7.9518 660 0.7278 0.6505 0.7278 0.8531
0.4309 7.9759 662 0.7201 0.6465 0.7201 0.8486
0.4309 8.0 664 0.7500 0.6437 0.7500 0.8660
0.4309 8.0241 666 0.7429 0.6437 0.7429 0.8619
0.4309 8.0482 668 0.7554 0.6377 0.7554 0.8691
0.4309 8.0723 670 0.8035 0.6132 0.8035 0.8964
0.4309 8.0964 672 0.8504 0.6137 0.8504 0.9222
0.4309 8.1205 674 0.8087 0.6149 0.8087 0.8993
0.4309 8.1446 676 0.7750 0.6191 0.7750 0.8804
0.4309 8.1687 678 0.7925 0.6311 0.7925 0.8902
0.4309 8.1928 680 0.7870 0.6498 0.7870 0.8871
0.4309 8.2169 682 0.7946 0.6498 0.7946 0.8914
0.4309 8.2410 684 0.8069 0.6395 0.8069 0.8983
0.4309 8.2651 686 0.8050 0.6254 0.8050 0.8972
0.4309 8.2892 688 0.8007 0.6060 0.8007 0.8948
0.4309 8.3133 690 0.8002 0.6108 0.8002 0.8946
0.4309 8.3373 692 0.8466 0.6086 0.8466 0.9201
0.4309 8.3614 694 0.8420 0.6171 0.8420 0.9176
0.4309 8.3855 696 0.7657 0.6597 0.7657 0.8751
0.4309 8.4096 698 0.7550 0.6667 0.7550 0.8689
0.4309 8.4337 700 0.7502 0.6603 0.7502 0.8661
0.4309 8.4578 702 0.7385 0.6546 0.7385 0.8594
0.4309 8.4819 704 0.7385 0.6465 0.7385 0.8593
0.4309 8.5060 706 0.7688 0.5952 0.7688 0.8768
0.4309 8.5301 708 0.8017 0.5823 0.8017 0.8954
0.4309 8.5542 710 0.7802 0.5956 0.7802 0.8833
0.4309 8.5783 712 0.7664 0.6022 0.7664 0.8754
0.4309 8.6024 714 0.7644 0.5851 0.7644 0.8743

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
4
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization

Finetuned
(4040)
this model