Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_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: 0.8248
- Qwk: 0.6874
- Mse: 0.8248
- Rmse: 0.9082
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 | 0.0323 | 2 | 5.0831 | 0.0003 | 5.0831 | 2.2546 |
| No log | 0.0645 | 4 | 3.2385 | 0.0806 | 3.2385 | 1.7996 |
| No log | 0.0968 | 6 | 1.7740 | 0.0956 | 1.7740 | 1.3319 |
| No log | 0.1290 | 8 | 1.4481 | 0.0835 | 1.4481 | 1.2034 |
| No log | 0.1613 | 10 | 1.3874 | 0.1332 | 1.3874 | 1.1779 |
| No log | 0.1935 | 12 | 1.1359 | 0.1924 | 1.1359 | 1.0658 |
| No log | 0.2258 | 14 | 1.1645 | 0.2049 | 1.1645 | 1.0791 |
| No log | 0.2581 | 16 | 1.1033 | 0.2448 | 1.1033 | 1.0504 |
| No log | 0.2903 | 18 | 1.0453 | 0.3623 | 1.0453 | 1.0224 |
| No log | 0.3226 | 20 | 1.0848 | 0.3735 | 1.0848 | 1.0415 |
| No log | 0.3548 | 22 | 1.0070 | 0.4820 | 1.0070 | 1.0035 |
| No log | 0.3871 | 24 | 0.9319 | 0.4972 | 0.9319 | 0.9653 |
| No log | 0.4194 | 26 | 0.9945 | 0.5124 | 0.9945 | 0.9972 |
| No log | 0.4516 | 28 | 1.2142 | 0.4619 | 1.2142 | 1.1019 |
| No log | 0.4839 | 30 | 0.9733 | 0.5964 | 0.9733 | 0.9866 |
| No log | 0.5161 | 32 | 0.8947 | 0.5781 | 0.8947 | 0.9459 |
| No log | 0.5484 | 34 | 0.9619 | 0.5535 | 0.9619 | 0.9808 |
| No log | 0.5806 | 36 | 1.0338 | 0.5246 | 1.0338 | 1.0167 |
| No log | 0.6129 | 38 | 0.9083 | 0.5253 | 0.9083 | 0.9530 |
| No log | 0.6452 | 40 | 0.9287 | 0.4845 | 0.9287 | 0.9637 |
| No log | 0.6774 | 42 | 1.5767 | 0.3093 | 1.5767 | 1.2557 |
| No log | 0.7097 | 44 | 1.6195 | 0.2697 | 1.6195 | 1.2726 |
| No log | 0.7419 | 46 | 1.2031 | 0.2738 | 1.2031 | 1.0969 |
| No log | 0.7742 | 48 | 0.8855 | 0.4271 | 0.8855 | 0.9410 |
| No log | 0.8065 | 50 | 0.8722 | 0.5279 | 0.8722 | 0.9339 |
| No log | 0.8387 | 52 | 0.8803 | 0.4914 | 0.8803 | 0.9382 |
| No log | 0.8710 | 54 | 0.8534 | 0.4623 | 0.8534 | 0.9238 |
| No log | 0.9032 | 56 | 0.9501 | 0.3359 | 0.9501 | 0.9747 |
| No log | 0.9355 | 58 | 1.0052 | 0.3318 | 1.0052 | 1.0026 |
| No log | 0.9677 | 60 | 1.0041 | 0.3919 | 1.0041 | 1.0020 |
| No log | 1.0 | 62 | 0.9410 | 0.4468 | 0.9410 | 0.9701 |
| No log | 1.0323 | 64 | 0.8057 | 0.5175 | 0.8057 | 0.8976 |
| No log | 1.0645 | 66 | 0.7529 | 0.5756 | 0.7529 | 0.8677 |
| No log | 1.0968 | 68 | 0.7663 | 0.5775 | 0.7663 | 0.8754 |
| No log | 1.1290 | 70 | 0.7153 | 0.6490 | 0.7153 | 0.8457 |
| No log | 1.1613 | 72 | 0.7595 | 0.6298 | 0.7595 | 0.8715 |
| No log | 1.1935 | 74 | 0.7768 | 0.6395 | 0.7768 | 0.8814 |
| No log | 1.2258 | 76 | 0.7437 | 0.7014 | 0.7437 | 0.8624 |
| No log | 1.2581 | 78 | 0.7988 | 0.6496 | 0.7988 | 0.8937 |
| No log | 1.2903 | 80 | 0.7025 | 0.6527 | 0.7025 | 0.8381 |
| No log | 1.3226 | 82 | 0.6770 | 0.6570 | 0.6770 | 0.8228 |
| No log | 1.3548 | 84 | 0.6741 | 0.6424 | 0.6741 | 0.8210 |
| No log | 1.3871 | 86 | 0.6924 | 0.6377 | 0.6924 | 0.8321 |
| No log | 1.4194 | 88 | 0.6621 | 0.6310 | 0.6621 | 0.8137 |
| No log | 1.4516 | 90 | 0.7214 | 0.6559 | 0.7214 | 0.8494 |
| No log | 1.4839 | 92 | 0.7377 | 0.6103 | 0.7377 | 0.8589 |
| No log | 1.5161 | 94 | 0.6919 | 0.6369 | 0.6919 | 0.8318 |
| No log | 1.5484 | 96 | 0.7324 | 0.6763 | 0.7324 | 0.8558 |
| No log | 1.5806 | 98 | 0.7456 | 0.6315 | 0.7456 | 0.8635 |
| No log | 1.6129 | 100 | 0.6675 | 0.6809 | 0.6675 | 0.8170 |
| No log | 1.6452 | 102 | 0.6507 | 0.6871 | 0.6507 | 0.8066 |
| No log | 1.6774 | 104 | 0.6337 | 0.6938 | 0.6337 | 0.7960 |
| No log | 1.7097 | 106 | 0.7277 | 0.6362 | 0.7277 | 0.8531 |
| No log | 1.7419 | 108 | 0.8406 | 0.6407 | 0.8406 | 0.9168 |
| No log | 1.7742 | 110 | 0.8010 | 0.6600 | 0.8010 | 0.8950 |
| No log | 1.8065 | 112 | 0.8110 | 0.6841 | 0.8110 | 0.9005 |
| No log | 1.8387 | 114 | 0.7438 | 0.7082 | 0.7438 | 0.8624 |
| No log | 1.8710 | 116 | 0.7620 | 0.7267 | 0.7620 | 0.8729 |
| No log | 1.9032 | 118 | 0.8025 | 0.7002 | 0.8025 | 0.8959 |
| No log | 1.9355 | 120 | 0.8746 | 0.5966 | 0.8746 | 0.9352 |
| No log | 1.9677 | 122 | 0.6864 | 0.6945 | 0.6864 | 0.8285 |
| No log | 2.0 | 124 | 0.6415 | 0.7001 | 0.6415 | 0.8009 |
| No log | 2.0323 | 126 | 0.6257 | 0.7148 | 0.6257 | 0.7910 |
| No log | 2.0645 | 128 | 0.6258 | 0.7159 | 0.6258 | 0.7911 |
| No log | 2.0968 | 130 | 0.8092 | 0.6221 | 0.8092 | 0.8996 |
| No log | 2.1290 | 132 | 1.0057 | 0.5648 | 1.0057 | 1.0029 |
| No log | 2.1613 | 134 | 0.8999 | 0.6390 | 0.8999 | 0.9486 |
| No log | 2.1935 | 136 | 0.8117 | 0.6758 | 0.8117 | 0.9009 |
| No log | 2.2258 | 138 | 0.7325 | 0.7170 | 0.7325 | 0.8559 |
| No log | 2.2581 | 140 | 0.7768 | 0.7099 | 0.7768 | 0.8814 |
| No log | 2.2903 | 142 | 1.1378 | 0.6095 | 1.1378 | 1.0667 |
| No log | 2.3226 | 144 | 1.3258 | 0.5918 | 1.3258 | 1.1514 |
| No log | 2.3548 | 146 | 1.0630 | 0.6329 | 1.0630 | 1.0310 |
| No log | 2.3871 | 148 | 0.8636 | 0.7144 | 0.8636 | 0.9293 |
| No log | 2.4194 | 150 | 0.8960 | 0.6278 | 0.8960 | 0.9466 |
| No log | 2.4516 | 152 | 1.0453 | 0.6067 | 1.0453 | 1.0224 |
| No log | 2.4839 | 154 | 1.1430 | 0.5873 | 1.1430 | 1.0691 |
| No log | 2.5161 | 156 | 0.9498 | 0.6093 | 0.9498 | 0.9746 |
| No log | 2.5484 | 158 | 0.7388 | 0.6744 | 0.7388 | 0.8595 |
| No log | 2.5806 | 160 | 0.7175 | 0.6837 | 0.7175 | 0.8471 |
| No log | 2.6129 | 162 | 0.6416 | 0.7490 | 0.6416 | 0.8010 |
| No log | 2.6452 | 164 | 0.6497 | 0.7396 | 0.6497 | 0.8060 |
| No log | 2.6774 | 166 | 0.7129 | 0.6997 | 0.7129 | 0.8443 |
| No log | 2.7097 | 168 | 0.8467 | 0.6792 | 0.8467 | 0.9202 |
| No log | 2.7419 | 170 | 1.0608 | 0.6309 | 1.0608 | 1.0300 |
| No log | 2.7742 | 172 | 1.0172 | 0.6498 | 1.0172 | 1.0086 |
| No log | 2.8065 | 174 | 0.7739 | 0.7005 | 0.7739 | 0.8797 |
| No log | 2.8387 | 176 | 0.6448 | 0.7491 | 0.6448 | 0.8030 |
| No log | 2.8710 | 178 | 0.6634 | 0.7483 | 0.6634 | 0.8145 |
| No log | 2.9032 | 180 | 0.7705 | 0.7081 | 0.7705 | 0.8778 |
| No log | 2.9355 | 182 | 1.0008 | 0.6399 | 1.0008 | 1.0004 |
| No log | 2.9677 | 184 | 1.0558 | 0.6261 | 1.0558 | 1.0275 |
| No log | 3.0 | 186 | 0.8285 | 0.6937 | 0.8285 | 0.9102 |
| No log | 3.0323 | 188 | 0.6736 | 0.7486 | 0.6736 | 0.8207 |
| No log | 3.0645 | 190 | 0.7209 | 0.7074 | 0.7209 | 0.8490 |
| No log | 3.0968 | 192 | 0.9259 | 0.6535 | 0.9259 | 0.9622 |
| No log | 3.1290 | 194 | 1.1578 | 0.5967 | 1.1578 | 1.0760 |
| No log | 3.1613 | 196 | 1.0160 | 0.6046 | 1.0160 | 1.0080 |
| No log | 3.1935 | 198 | 0.8446 | 0.6527 | 0.8446 | 0.9190 |
| No log | 3.2258 | 200 | 0.7484 | 0.6968 | 0.7484 | 0.8651 |
| No log | 3.2581 | 202 | 0.7288 | 0.6956 | 0.7288 | 0.8537 |
| No log | 3.2903 | 204 | 0.7898 | 0.7069 | 0.7898 | 0.8887 |
| No log | 3.3226 | 206 | 0.7960 | 0.7118 | 0.7960 | 0.8922 |
| No log | 3.3548 | 208 | 0.8168 | 0.7099 | 0.8168 | 0.9037 |
| No log | 3.3871 | 210 | 0.6972 | 0.7124 | 0.6972 | 0.8350 |
| No log | 3.4194 | 212 | 0.6939 | 0.7025 | 0.6939 | 0.8330 |
| No log | 3.4516 | 214 | 0.7620 | 0.7122 | 0.7620 | 0.8729 |
| No log | 3.4839 | 216 | 0.8942 | 0.6757 | 0.8942 | 0.9456 |
| No log | 3.5161 | 218 | 0.8220 | 0.7070 | 0.8220 | 0.9066 |
| No log | 3.5484 | 220 | 0.6305 | 0.6984 | 0.6305 | 0.7940 |
| No log | 3.5806 | 222 | 0.5996 | 0.7188 | 0.5996 | 0.7743 |
| No log | 3.6129 | 224 | 0.6239 | 0.7302 | 0.6239 | 0.7899 |
| No log | 3.6452 | 226 | 0.8065 | 0.6843 | 0.8065 | 0.8980 |
| No log | 3.6774 | 228 | 1.0288 | 0.6540 | 1.0288 | 1.0143 |
| No log | 3.7097 | 230 | 0.9727 | 0.6708 | 0.9727 | 0.9863 |
| No log | 3.7419 | 232 | 0.8939 | 0.7045 | 0.8939 | 0.9455 |
| No log | 3.7742 | 234 | 0.8223 | 0.7036 | 0.8223 | 0.9068 |
| No log | 3.8065 | 236 | 0.8241 | 0.7002 | 0.8241 | 0.9078 |
| No log | 3.8387 | 238 | 0.8180 | 0.6877 | 0.8180 | 0.9044 |
| No log | 3.8710 | 240 | 0.8747 | 0.6582 | 0.8747 | 0.9352 |
| No log | 3.9032 | 242 | 0.7955 | 0.6740 | 0.7955 | 0.8919 |
| No log | 3.9355 | 244 | 0.6672 | 0.7010 | 0.6672 | 0.8168 |
| No log | 3.9677 | 246 | 0.6872 | 0.6898 | 0.6872 | 0.8290 |
| No log | 4.0 | 248 | 0.8139 | 0.6748 | 0.8139 | 0.9022 |
| No log | 4.0323 | 250 | 0.7578 | 0.6779 | 0.7578 | 0.8705 |
| No log | 4.0645 | 252 | 0.6207 | 0.7074 | 0.6207 | 0.7879 |
| No log | 4.0968 | 254 | 0.5989 | 0.7552 | 0.5989 | 0.7739 |
| No log | 4.1290 | 256 | 0.6381 | 0.7319 | 0.6381 | 0.7988 |
| No log | 4.1613 | 258 | 0.6406 | 0.7304 | 0.6406 | 0.8004 |
| No log | 4.1935 | 260 | 0.6863 | 0.7324 | 0.6863 | 0.8284 |
| No log | 4.2258 | 262 | 0.8818 | 0.6770 | 0.8818 | 0.9390 |
| No log | 4.2581 | 264 | 1.0430 | 0.6525 | 1.0430 | 1.0213 |
| No log | 4.2903 | 266 | 0.9999 | 0.6490 | 0.9999 | 0.9999 |
| No log | 4.3226 | 268 | 0.8246 | 0.6748 | 0.8246 | 0.9081 |
| No log | 4.3548 | 270 | 0.7878 | 0.6707 | 0.7878 | 0.8876 |
| No log | 4.3871 | 272 | 0.7984 | 0.6595 | 0.7984 | 0.8936 |
| No log | 4.4194 | 274 | 0.9499 | 0.6420 | 0.9499 | 0.9746 |
| No log | 4.4516 | 276 | 0.9452 | 0.6375 | 0.9452 | 0.9722 |
| No log | 4.4839 | 278 | 0.7639 | 0.6600 | 0.7639 | 0.8740 |
| No log | 4.5161 | 280 | 0.6320 | 0.7256 | 0.6320 | 0.7950 |
| No log | 4.5484 | 282 | 0.6378 | 0.7376 | 0.6378 | 0.7986 |
| No log | 4.5806 | 284 | 0.7296 | 0.6673 | 0.7296 | 0.8542 |
| No log | 4.6129 | 286 | 0.7383 | 0.6978 | 0.7383 | 0.8593 |
| No log | 4.6452 | 288 | 0.7158 | 0.7005 | 0.7158 | 0.8460 |
| No log | 4.6774 | 290 | 0.6109 | 0.7484 | 0.6109 | 0.7816 |
| No log | 4.7097 | 292 | 0.6046 | 0.7679 | 0.6046 | 0.7775 |
| No log | 4.7419 | 294 | 0.6182 | 0.7553 | 0.6182 | 0.7863 |
| No log | 4.7742 | 296 | 0.6611 | 0.7183 | 0.6611 | 0.8131 |
| No log | 4.8065 | 298 | 0.7843 | 0.6669 | 0.7843 | 0.8856 |
| No log | 4.8387 | 300 | 0.9075 | 0.6330 | 0.9075 | 0.9526 |
| No log | 4.8710 | 302 | 0.8630 | 0.6482 | 0.8630 | 0.9290 |
| No log | 4.9032 | 304 | 0.7332 | 0.6621 | 0.7332 | 0.8563 |
| No log | 4.9355 | 306 | 0.6432 | 0.7047 | 0.6432 | 0.8020 |
| No log | 4.9677 | 308 | 0.6299 | 0.7201 | 0.6299 | 0.7936 |
| No log | 5.0 | 310 | 0.6503 | 0.7126 | 0.6503 | 0.8064 |
| No log | 5.0323 | 312 | 0.7042 | 0.6740 | 0.7042 | 0.8392 |
| No log | 5.0645 | 314 | 0.7681 | 0.6727 | 0.7681 | 0.8764 |
| No log | 5.0968 | 316 | 0.8925 | 0.6652 | 0.8925 | 0.9447 |
| No log | 5.1290 | 318 | 0.9390 | 0.6477 | 0.9390 | 0.9690 |
| No log | 5.1613 | 320 | 0.9527 | 0.6375 | 0.9527 | 0.9761 |
| No log | 5.1935 | 322 | 0.8153 | 0.6706 | 0.8153 | 0.9029 |
| No log | 5.2258 | 324 | 0.7083 | 0.7164 | 0.7083 | 0.8416 |
| No log | 5.2581 | 326 | 0.6245 | 0.7433 | 0.6245 | 0.7903 |
| No log | 5.2903 | 328 | 0.6384 | 0.7469 | 0.6384 | 0.7990 |
| No log | 5.3226 | 330 | 0.7460 | 0.6820 | 0.7460 | 0.8637 |
| No log | 5.3548 | 332 | 0.9398 | 0.6483 | 0.9398 | 0.9695 |
| No log | 5.3871 | 334 | 0.9863 | 0.6407 | 0.9863 | 0.9931 |
| No log | 5.4194 | 336 | 0.9277 | 0.6529 | 0.9277 | 0.9632 |
| No log | 5.4516 | 338 | 0.7816 | 0.6783 | 0.7816 | 0.8841 |
| No log | 5.4839 | 340 | 0.7751 | 0.6874 | 0.7751 | 0.8804 |
| No log | 5.5161 | 342 | 0.9018 | 0.6557 | 0.9018 | 0.9496 |
| No log | 5.5484 | 344 | 0.9827 | 0.6293 | 0.9827 | 0.9913 |
| No log | 5.5806 | 346 | 1.0206 | 0.6269 | 1.0206 | 1.0103 |
| No log | 5.6129 | 348 | 0.9635 | 0.6306 | 0.9635 | 0.9816 |
| No log | 5.6452 | 350 | 0.9216 | 0.6390 | 0.9216 | 0.9600 |
| No log | 5.6774 | 352 | 0.8971 | 0.6626 | 0.8971 | 0.9471 |
| No log | 5.7097 | 354 | 0.8366 | 0.6705 | 0.8366 | 0.9147 |
| No log | 5.7419 | 356 | 0.7863 | 0.6753 | 0.7863 | 0.8867 |
| No log | 5.7742 | 358 | 0.7372 | 0.6685 | 0.7372 | 0.8586 |
| No log | 5.8065 | 360 | 0.7431 | 0.6593 | 0.7431 | 0.8621 |
| No log | 5.8387 | 362 | 0.7732 | 0.6680 | 0.7732 | 0.8793 |
| No log | 5.8710 | 364 | 0.7397 | 0.6776 | 0.7397 | 0.8601 |
| No log | 5.9032 | 366 | 0.6705 | 0.6882 | 0.6705 | 0.8188 |
| No log | 5.9355 | 368 | 0.6030 | 0.7507 | 0.6030 | 0.7765 |
| No log | 5.9677 | 370 | 0.6220 | 0.7366 | 0.6220 | 0.7887 |
| No log | 6.0 | 372 | 0.6957 | 0.7135 | 0.6957 | 0.8341 |
| No log | 6.0323 | 374 | 0.8039 | 0.6871 | 0.8039 | 0.8966 |
| No log | 6.0645 | 376 | 0.9207 | 0.6597 | 0.9207 | 0.9595 |
| No log | 6.0968 | 378 | 0.9941 | 0.6477 | 0.9941 | 0.9970 |
| No log | 6.1290 | 380 | 0.9585 | 0.6278 | 0.9585 | 0.9790 |
| No log | 6.1613 | 382 | 0.9155 | 0.6212 | 0.9155 | 0.9568 |
| No log | 6.1935 | 384 | 0.8915 | 0.6424 | 0.8915 | 0.9442 |
| No log | 6.2258 | 386 | 0.8653 | 0.6609 | 0.8653 | 0.9302 |
| No log | 6.2581 | 388 | 0.9279 | 0.6472 | 0.9279 | 0.9633 |
| No log | 6.2903 | 390 | 0.9217 | 0.6395 | 0.9217 | 0.9601 |
| No log | 6.3226 | 392 | 0.8449 | 0.6736 | 0.8449 | 0.9192 |
| No log | 6.3548 | 394 | 0.8250 | 0.6879 | 0.8250 | 0.9083 |
| No log | 6.3871 | 396 | 0.8720 | 0.6523 | 0.8720 | 0.9338 |
| No log | 6.4194 | 398 | 0.8724 | 0.6620 | 0.8724 | 0.9340 |
| No log | 6.4516 | 400 | 0.8008 | 0.6973 | 0.8008 | 0.8949 |
| No log | 6.4839 | 402 | 0.7651 | 0.7068 | 0.7651 | 0.8747 |
| No log | 6.5161 | 404 | 0.7639 | 0.7068 | 0.7639 | 0.8740 |
| No log | 6.5484 | 406 | 0.7793 | 0.7068 | 0.7793 | 0.8828 |
| No log | 6.5806 | 408 | 0.7604 | 0.7006 | 0.7604 | 0.8720 |
| No log | 6.6129 | 410 | 0.7369 | 0.7149 | 0.7369 | 0.8584 |
| No log | 6.6452 | 412 | 0.7897 | 0.7129 | 0.7897 | 0.8887 |
| No log | 6.6774 | 414 | 0.9052 | 0.6644 | 0.9052 | 0.9514 |
| No log | 6.7097 | 416 | 0.9476 | 0.6494 | 0.9476 | 0.9734 |
| No log | 6.7419 | 418 | 0.9415 | 0.6569 | 0.9415 | 0.9703 |
| No log | 6.7742 | 420 | 0.9596 | 0.6562 | 0.9596 | 0.9796 |
| No log | 6.8065 | 422 | 0.8754 | 0.6749 | 0.8754 | 0.9356 |
| No log | 6.8387 | 424 | 0.7420 | 0.7248 | 0.7420 | 0.8614 |
| No log | 6.8710 | 426 | 0.6905 | 0.7156 | 0.6905 | 0.8310 |
| No log | 6.9032 | 428 | 0.6934 | 0.7156 | 0.6934 | 0.8327 |
| No log | 6.9355 | 430 | 0.7190 | 0.6987 | 0.7190 | 0.8479 |
| No log | 6.9677 | 432 | 0.8007 | 0.6885 | 0.8007 | 0.8948 |
| No log | 7.0 | 434 | 0.8407 | 0.6720 | 0.8407 | 0.9169 |
| No log | 7.0323 | 436 | 0.8197 | 0.6760 | 0.8197 | 0.9054 |
| No log | 7.0645 | 438 | 0.8174 | 0.6720 | 0.8174 | 0.9041 |
| No log | 7.0968 | 440 | 0.7803 | 0.6909 | 0.7803 | 0.8833 |
| No log | 7.1290 | 442 | 0.7510 | 0.6939 | 0.7510 | 0.8666 |
| No log | 7.1613 | 444 | 0.6981 | 0.7042 | 0.6981 | 0.8355 |
| No log | 7.1935 | 446 | 0.6954 | 0.7029 | 0.6954 | 0.8339 |
| No log | 7.2258 | 448 | 0.7040 | 0.7029 | 0.7040 | 0.8391 |
| No log | 7.2581 | 450 | 0.7453 | 0.7015 | 0.7453 | 0.8633 |
| No log | 7.2903 | 452 | 0.8122 | 0.6876 | 0.8122 | 0.9012 |
| No log | 7.3226 | 454 | 0.8857 | 0.6741 | 0.8857 | 0.9411 |
| No log | 7.3548 | 456 | 0.9287 | 0.6696 | 0.9287 | 0.9637 |
| No log | 7.3871 | 458 | 0.9155 | 0.6780 | 0.9155 | 0.9568 |
| No log | 7.4194 | 460 | 0.8086 | 0.7031 | 0.8086 | 0.8992 |
| No log | 7.4516 | 462 | 0.7058 | 0.7288 | 0.7058 | 0.8401 |
| No log | 7.4839 | 464 | 0.6477 | 0.7408 | 0.6477 | 0.8048 |
| No log | 7.5161 | 466 | 0.6490 | 0.7368 | 0.6490 | 0.8056 |
| No log | 7.5484 | 468 | 0.6974 | 0.7288 | 0.6974 | 0.8351 |
| No log | 7.5806 | 470 | 0.7688 | 0.7031 | 0.7688 | 0.8768 |
| No log | 7.6129 | 472 | 0.8221 | 0.6969 | 0.8221 | 0.9067 |
| No log | 7.6452 | 474 | 0.8752 | 0.6818 | 0.8752 | 0.9355 |
| No log | 7.6774 | 476 | 0.8406 | 0.6882 | 0.8406 | 0.9168 |
| No log | 7.7097 | 478 | 0.7312 | 0.7078 | 0.7312 | 0.8551 |
| No log | 7.7419 | 480 | 0.6612 | 0.7214 | 0.6612 | 0.8131 |
| No log | 7.7742 | 482 | 0.6393 | 0.7328 | 0.6393 | 0.7996 |
| No log | 7.8065 | 484 | 0.6175 | 0.7529 | 0.6175 | 0.7858 |
| No log | 7.8387 | 486 | 0.6225 | 0.7470 | 0.6225 | 0.7890 |
| No log | 7.8710 | 488 | 0.6719 | 0.7268 | 0.6719 | 0.8197 |
| No log | 7.9032 | 490 | 0.7405 | 0.7017 | 0.7405 | 0.8605 |
| No log | 7.9355 | 492 | 0.8633 | 0.6706 | 0.8633 | 0.9291 |
| No log | 7.9677 | 494 | 0.9389 | 0.6576 | 0.9389 | 0.9689 |
| No log | 8.0 | 496 | 0.9561 | 0.6545 | 0.9561 | 0.9778 |
| No log | 8.0323 | 498 | 0.9047 | 0.6549 | 0.9047 | 0.9512 |
| 0.4176 | 8.0645 | 500 | 0.8138 | 0.6667 | 0.8138 | 0.9021 |
| 0.4176 | 8.0968 | 502 | 0.7262 | 0.6789 | 0.7262 | 0.8522 |
| 0.4176 | 8.1290 | 504 | 0.6435 | 0.7131 | 0.6435 | 0.8022 |
| 0.4176 | 8.1613 | 506 | 0.6048 | 0.7373 | 0.6048 | 0.7777 |
| 0.4176 | 8.1935 | 508 | 0.6082 | 0.7373 | 0.6082 | 0.7799 |
| 0.4176 | 8.2258 | 510 | 0.6418 | 0.7149 | 0.6418 | 0.8011 |
| 0.4176 | 8.2581 | 512 | 0.7065 | 0.7037 | 0.7065 | 0.8405 |
| 0.4176 | 8.2903 | 514 | 0.8043 | 0.6920 | 0.8043 | 0.8968 |
| 0.4176 | 8.3226 | 516 | 0.9133 | 0.6493 | 0.9133 | 0.9557 |
| 0.4176 | 8.3548 | 518 | 0.9698 | 0.6432 | 0.9698 | 0.9848 |
| 0.4176 | 8.3871 | 520 | 0.9546 | 0.6544 | 0.9546 | 0.9770 |
| 0.4176 | 8.4194 | 522 | 0.8941 | 0.6533 | 0.8941 | 0.9456 |
| 0.4176 | 8.4516 | 524 | 0.8253 | 0.6787 | 0.8253 | 0.9084 |
| 0.4176 | 8.4839 | 526 | 0.7930 | 0.6787 | 0.7930 | 0.8905 |
| 0.4176 | 8.5161 | 528 | 0.7961 | 0.6787 | 0.7961 | 0.8922 |
| 0.4176 | 8.5484 | 530 | 0.7860 | 0.6787 | 0.7860 | 0.8866 |
| 0.4176 | 8.5806 | 532 | 0.7899 | 0.6787 | 0.7899 | 0.8888 |
| 0.4176 | 8.6129 | 534 | 0.8022 | 0.6787 | 0.8022 | 0.8957 |
| 0.4176 | 8.6452 | 536 | 0.8099 | 0.6817 | 0.8099 | 0.9000 |
| 0.4176 | 8.6774 | 538 | 0.8127 | 0.6880 | 0.8127 | 0.9015 |
| 0.4176 | 8.7097 | 540 | 0.8335 | 0.6874 | 0.8335 | 0.9130 |
| 0.4176 | 8.7419 | 542 | 0.8638 | 0.6760 | 0.8638 | 0.9294 |
| 0.4176 | 8.7742 | 544 | 0.9037 | 0.6620 | 0.9037 | 0.9506 |
| 0.4176 | 8.8065 | 546 | 0.9161 | 0.6682 | 0.9161 | 0.9571 |
| 0.4176 | 8.8387 | 548 | 0.8983 | 0.6682 | 0.8983 | 0.9478 |
| 0.4176 | 8.8710 | 550 | 0.8913 | 0.6682 | 0.8913 | 0.9441 |
| 0.4176 | 8.9032 | 552 | 0.8543 | 0.6853 | 0.8543 | 0.9243 |
| 0.4176 | 8.9355 | 554 | 0.8326 | 0.6942 | 0.8326 | 0.9125 |
| 0.4176 | 8.9677 | 556 | 0.8076 | 0.6926 | 0.8076 | 0.8987 |
| 0.4176 | 9.0 | 558 | 0.8150 | 0.6926 | 0.8150 | 0.9028 |
| 0.4176 | 9.0323 | 560 | 0.8187 | 0.6960 | 0.8187 | 0.9048 |
| 0.4176 | 9.0645 | 562 | 0.8325 | 0.6936 | 0.8325 | 0.9124 |
| 0.4176 | 9.0968 | 564 | 0.8659 | 0.6750 | 0.8659 | 0.9305 |
| 0.4176 | 9.1290 | 566 | 0.9174 | 0.6597 | 0.9174 | 0.9578 |
| 0.4176 | 9.1613 | 568 | 0.9363 | 0.6543 | 0.9363 | 0.9676 |
| 0.4176 | 9.1935 | 570 | 0.9297 | 0.6551 | 0.9297 | 0.9642 |
| 0.4176 | 9.2258 | 572 | 0.9260 | 0.6551 | 0.9260 | 0.9623 |
| 0.4176 | 9.2581 | 574 | 0.9089 | 0.6551 | 0.9089 | 0.9534 |
| 0.4176 | 9.2903 | 576 | 0.8852 | 0.6643 | 0.8852 | 0.9408 |
| 0.4176 | 9.3226 | 578 | 0.8752 | 0.6643 | 0.8752 | 0.9355 |
| 0.4176 | 9.3548 | 580 | 0.8596 | 0.6748 | 0.8596 | 0.9271 |
| 0.4176 | 9.3871 | 582 | 0.8378 | 0.6855 | 0.8378 | 0.9153 |
| 0.4176 | 9.4194 | 584 | 0.8092 | 0.6827 | 0.8092 | 0.8995 |
| 0.4176 | 9.4516 | 586 | 0.7902 | 0.6817 | 0.7902 | 0.8889 |
| 0.4176 | 9.4839 | 588 | 0.7812 | 0.6834 | 0.7812 | 0.8839 |
| 0.4176 | 9.5161 | 590 | 0.7699 | 0.6943 | 0.7699 | 0.8774 |
| 0.4176 | 9.5484 | 592 | 0.7579 | 0.7013 | 0.7579 | 0.8706 |
| 0.4176 | 9.5806 | 594 | 0.7544 | 0.7013 | 0.7544 | 0.8686 |
| 0.4176 | 9.6129 | 596 | 0.7616 | 0.7013 | 0.7616 | 0.8727 |
| 0.4176 | 9.6452 | 598 | 0.7684 | 0.7013 | 0.7684 | 0.8766 |
| 0.4176 | 9.6774 | 600 | 0.7786 | 0.6926 | 0.7786 | 0.8824 |
| 0.4176 | 9.7097 | 602 | 0.7903 | 0.6834 | 0.7903 | 0.8890 |
| 0.4176 | 9.7419 | 604 | 0.8002 | 0.6817 | 0.8002 | 0.8946 |
| 0.4176 | 9.7742 | 606 | 0.8081 | 0.6817 | 0.8081 | 0.8989 |
| 0.4176 | 9.8065 | 608 | 0.8124 | 0.6874 | 0.8124 | 0.9013 |
| 0.4176 | 9.8387 | 610 | 0.8169 | 0.6874 | 0.8169 | 0.9038 |
| 0.4176 | 9.8710 | 612 | 0.8209 | 0.6874 | 0.8209 | 0.9060 |
| 0.4176 | 9.9032 | 614 | 0.8243 | 0.6874 | 0.8243 | 0.9079 |
| 0.4176 | 9.9355 | 616 | 0.8248 | 0.6874 | 0.8248 | 0.9082 |
| 0.4176 | 9.9677 | 618 | 0.8249 | 0.6874 | 0.8249 | 0.9082 |
| 0.4176 | 10.0 | 620 | 0.8248 | 0.6874 | 0.8248 | 0.9082 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02