Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_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: 0.7993
- Qwk: 0.5042
- Mse: 0.7993
- Rmse: 0.8940
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: 16
- eval_batch_size: 16
- 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 | 0.1111 | 2 | 6.4064 | -0.0278 | 6.4064 | 2.5311 |
| No log | 0.2222 | 4 | 4.2708 | -0.0202 | 4.2708 | 2.0666 |
| No log | 0.3333 | 6 | 3.0195 | 0.0109 | 3.0195 | 1.7377 |
| No log | 0.4444 | 8 | 2.2104 | 0.0011 | 2.2104 | 1.4867 |
| No log | 0.5556 | 10 | 1.6962 | -0.0230 | 1.6962 | 1.3024 |
| No log | 0.6667 | 12 | 1.5891 | -0.0606 | 1.5891 | 1.2606 |
| No log | 0.7778 | 14 | 1.8380 | -0.0946 | 1.8380 | 1.3557 |
| No log | 0.8889 | 16 | 1.8248 | -0.0754 | 1.8248 | 1.3508 |
| No log | 1.0 | 18 | 1.5332 | -0.0912 | 1.5332 | 1.2382 |
| No log | 1.1111 | 20 | 1.0875 | -0.0446 | 1.0875 | 1.0428 |
| No log | 1.2222 | 22 | 0.8857 | 0.0893 | 0.8857 | 0.9411 |
| No log | 1.3333 | 24 | 0.7621 | 0.1372 | 0.7621 | 0.8730 |
| No log | 1.4444 | 26 | 0.6970 | 0.2065 | 0.6970 | 0.8349 |
| No log | 1.5556 | 28 | 0.6798 | 0.2202 | 0.6798 | 0.8245 |
| No log | 1.6667 | 30 | 0.6777 | 0.2507 | 0.6777 | 0.8232 |
| No log | 1.7778 | 32 | 0.7024 | 0.25 | 0.7024 | 0.8381 |
| No log | 1.8889 | 34 | 0.7598 | 0.1503 | 0.7598 | 0.8716 |
| No log | 2.0 | 36 | 0.8253 | 0.1020 | 0.8253 | 0.9085 |
| No log | 2.1111 | 38 | 0.8621 | 0.0480 | 0.8621 | 0.9285 |
| No log | 2.2222 | 40 | 0.8285 | 0.1485 | 0.8285 | 0.9102 |
| No log | 2.3333 | 42 | 0.7557 | 0.2327 | 0.7557 | 0.8693 |
| No log | 2.4444 | 44 | 0.7283 | 0.2052 | 0.7283 | 0.8534 |
| No log | 2.5556 | 46 | 0.6955 | 0.2850 | 0.6955 | 0.8340 |
| No log | 2.6667 | 48 | 0.6423 | 0.3193 | 0.6423 | 0.8015 |
| No log | 2.7778 | 50 | 0.6079 | 0.3286 | 0.6079 | 0.7797 |
| No log | 2.8889 | 52 | 0.5987 | 0.3413 | 0.5987 | 0.7737 |
| No log | 3.0 | 54 | 0.5957 | 0.3450 | 0.5957 | 0.7718 |
| No log | 3.1111 | 56 | 0.6008 | 0.3744 | 0.6008 | 0.7751 |
| No log | 3.2222 | 58 | 0.6175 | 0.3693 | 0.6175 | 0.7858 |
| No log | 3.3333 | 60 | 0.6037 | 0.3692 | 0.6037 | 0.7770 |
| No log | 3.4444 | 62 | 0.5944 | 0.3865 | 0.5944 | 0.7710 |
| No log | 3.5556 | 64 | 0.6076 | 0.4 | 0.6076 | 0.7795 |
| No log | 3.6667 | 66 | 0.6376 | 0.4397 | 0.6376 | 0.7985 |
| No log | 3.7778 | 68 | 0.6486 | 0.4397 | 0.6486 | 0.8053 |
| No log | 3.8889 | 70 | 0.6441 | 0.4859 | 0.6441 | 0.8025 |
| No log | 4.0 | 72 | 0.5994 | 0.4992 | 0.5994 | 0.7742 |
| No log | 4.1111 | 74 | 0.5580 | 0.4255 | 0.5580 | 0.7470 |
| No log | 4.2222 | 76 | 0.5382 | 0.4070 | 0.5382 | 0.7336 |
| No log | 4.3333 | 78 | 0.5288 | 0.4070 | 0.5288 | 0.7272 |
| No log | 4.4444 | 80 | 0.5205 | 0.3947 | 0.5205 | 0.7215 |
| No log | 4.5556 | 82 | 0.5310 | 0.4501 | 0.5310 | 0.7287 |
| No log | 4.6667 | 84 | 0.6057 | 0.5004 | 0.6057 | 0.7783 |
| No log | 4.7778 | 86 | 0.6857 | 0.3969 | 0.6857 | 0.8281 |
| No log | 4.8889 | 88 | 0.6577 | 0.4292 | 0.6577 | 0.8110 |
| No log | 5.0 | 90 | 0.5568 | 0.5190 | 0.5568 | 0.7462 |
| No log | 5.1111 | 92 | 0.5266 | 0.4822 | 0.5266 | 0.7257 |
| No log | 5.2222 | 94 | 0.5279 | 0.4595 | 0.5279 | 0.7266 |
| No log | 5.3333 | 96 | 0.5214 | 0.4793 | 0.5214 | 0.7221 |
| No log | 5.4444 | 98 | 0.5252 | 0.5019 | 0.5252 | 0.7247 |
| No log | 5.5556 | 100 | 0.5447 | 0.4695 | 0.5447 | 0.7381 |
| No log | 5.6667 | 102 | 0.5483 | 0.4977 | 0.5483 | 0.7404 |
| No log | 5.7778 | 104 | 0.5541 | 0.5041 | 0.5541 | 0.7444 |
| No log | 5.8889 | 106 | 0.5521 | 0.4956 | 0.5521 | 0.7430 |
| No log | 6.0 | 108 | 0.5369 | 0.4956 | 0.5369 | 0.7327 |
| No log | 6.1111 | 110 | 0.5194 | 0.4664 | 0.5194 | 0.7207 |
| No log | 6.2222 | 112 | 0.5179 | 0.4556 | 0.5179 | 0.7196 |
| No log | 6.3333 | 114 | 0.5218 | 0.5008 | 0.5218 | 0.7224 |
| No log | 6.4444 | 116 | 0.5302 | 0.5059 | 0.5302 | 0.7281 |
| No log | 6.5556 | 118 | 0.5364 | 0.5121 | 0.5364 | 0.7324 |
| No log | 6.6667 | 120 | 0.5582 | 0.5241 | 0.5582 | 0.7471 |
| No log | 6.7778 | 122 | 0.5940 | 0.5 | 0.5940 | 0.7707 |
| No log | 6.8889 | 124 | 0.6404 | 0.5590 | 0.6404 | 0.8003 |
| No log | 7.0 | 126 | 0.6301 | 0.5392 | 0.6301 | 0.7938 |
| No log | 7.1111 | 128 | 0.5724 | 0.5703 | 0.5724 | 0.7566 |
| No log | 7.2222 | 130 | 0.5322 | 0.5498 | 0.5322 | 0.7295 |
| No log | 7.3333 | 132 | 0.5324 | 0.5455 | 0.5324 | 0.7296 |
| No log | 7.4444 | 134 | 0.5285 | 0.5015 | 0.5285 | 0.7270 |
| No log | 7.5556 | 136 | 0.5198 | 0.5071 | 0.5198 | 0.7210 |
| No log | 7.6667 | 138 | 0.5234 | 0.4309 | 0.5234 | 0.7235 |
| No log | 7.7778 | 140 | 0.5207 | 0.4944 | 0.5207 | 0.7216 |
| No log | 7.8889 | 142 | 0.5256 | 0.5500 | 0.5256 | 0.7250 |
| No log | 8.0 | 144 | 0.5648 | 0.5622 | 0.5648 | 0.7515 |
| No log | 8.1111 | 146 | 0.6165 | 0.5544 | 0.6165 | 0.7851 |
| No log | 8.2222 | 148 | 0.6118 | 0.5544 | 0.6118 | 0.7822 |
| No log | 8.3333 | 150 | 0.5563 | 0.5606 | 0.5563 | 0.7458 |
| No log | 8.4444 | 152 | 0.5411 | 0.5378 | 0.5411 | 0.7356 |
| No log | 8.5556 | 154 | 0.5435 | 0.5758 | 0.5435 | 0.7372 |
| No log | 8.6667 | 156 | 0.5400 | 0.5075 | 0.5400 | 0.7349 |
| No log | 8.7778 | 158 | 0.5394 | 0.5363 | 0.5394 | 0.7344 |
| No log | 8.8889 | 160 | 0.5514 | 0.5568 | 0.5514 | 0.7426 |
| No log | 9.0 | 162 | 0.5612 | 0.5449 | 0.5612 | 0.7491 |
| No log | 9.1111 | 164 | 0.5756 | 0.5571 | 0.5756 | 0.7587 |
| No log | 9.2222 | 166 | 0.5902 | 0.5717 | 0.5902 | 0.7682 |
| No log | 9.3333 | 168 | 0.5818 | 0.5670 | 0.5818 | 0.7628 |
| No log | 9.4444 | 170 | 0.5673 | 0.5487 | 0.5673 | 0.7532 |
| No log | 9.5556 | 172 | 0.5755 | 0.5170 | 0.5755 | 0.7586 |
| No log | 9.6667 | 174 | 0.5854 | 0.5344 | 0.5854 | 0.7651 |
| No log | 9.7778 | 176 | 0.5868 | 0.5518 | 0.5868 | 0.7660 |
| No log | 9.8889 | 178 | 0.5999 | 0.5376 | 0.5999 | 0.7745 |
| No log | 10.0 | 180 | 0.6097 | 0.5673 | 0.6097 | 0.7808 |
| No log | 10.1111 | 182 | 0.6161 | 0.5567 | 0.6161 | 0.7849 |
| No log | 10.2222 | 184 | 0.6306 | 0.5637 | 0.6306 | 0.7941 |
| No log | 10.3333 | 186 | 0.6352 | 0.5633 | 0.6352 | 0.7970 |
| No log | 10.4444 | 188 | 0.6271 | 0.5825 | 0.6271 | 0.7919 |
| No log | 10.5556 | 190 | 0.6317 | 0.5701 | 0.6317 | 0.7948 |
| No log | 10.6667 | 192 | 0.6470 | 0.5455 | 0.6470 | 0.8044 |
| No log | 10.7778 | 194 | 0.6473 | 0.5555 | 0.6473 | 0.8045 |
| No log | 10.8889 | 196 | 0.6509 | 0.5484 | 0.6509 | 0.8068 |
| No log | 11.0 | 198 | 0.6508 | 0.5239 | 0.6508 | 0.8067 |
| No log | 11.1111 | 200 | 0.6569 | 0.5776 | 0.6569 | 0.8105 |
| No log | 11.2222 | 202 | 0.6672 | 0.5577 | 0.6672 | 0.8168 |
| No log | 11.3333 | 204 | 0.6631 | 0.5384 | 0.6631 | 0.8143 |
| No log | 11.4444 | 206 | 0.6643 | 0.5384 | 0.6643 | 0.8150 |
| No log | 11.5556 | 208 | 0.6786 | 0.5475 | 0.6786 | 0.8238 |
| No log | 11.6667 | 210 | 0.6767 | 0.5636 | 0.6767 | 0.8226 |
| No log | 11.7778 | 212 | 0.6805 | 0.5504 | 0.6805 | 0.8249 |
| No log | 11.8889 | 214 | 0.6901 | 0.5589 | 0.6901 | 0.8307 |
| No log | 12.0 | 216 | 0.6995 | 0.5879 | 0.6995 | 0.8364 |
| No log | 12.1111 | 218 | 0.6917 | 0.5897 | 0.6917 | 0.8317 |
| No log | 12.2222 | 220 | 0.6974 | 0.5897 | 0.6974 | 0.8351 |
| No log | 12.3333 | 222 | 0.6978 | 0.5435 | 0.6978 | 0.8353 |
| No log | 12.4444 | 224 | 0.6911 | 0.5476 | 0.6911 | 0.8313 |
| No log | 12.5556 | 226 | 0.6783 | 0.5169 | 0.6783 | 0.8236 |
| No log | 12.6667 | 228 | 0.6812 | 0.5421 | 0.6812 | 0.8253 |
| No log | 12.7778 | 230 | 0.6801 | 0.5116 | 0.6801 | 0.8247 |
| No log | 12.8889 | 232 | 0.6871 | 0.5058 | 0.6871 | 0.8289 |
| No log | 13.0 | 234 | 0.6925 | 0.5390 | 0.6925 | 0.8322 |
| No log | 13.1111 | 236 | 0.6968 | 0.5467 | 0.6968 | 0.8348 |
| No log | 13.2222 | 238 | 0.7100 | 0.5331 | 0.7100 | 0.8426 |
| No log | 13.3333 | 240 | 0.7252 | 0.5614 | 0.7252 | 0.8516 |
| No log | 13.4444 | 242 | 0.7285 | 0.5547 | 0.7285 | 0.8535 |
| No log | 13.5556 | 244 | 0.7202 | 0.5465 | 0.7202 | 0.8486 |
| No log | 13.6667 | 246 | 0.7125 | 0.5750 | 0.7125 | 0.8441 |
| No log | 13.7778 | 248 | 0.7077 | 0.5825 | 0.7077 | 0.8412 |
| No log | 13.8889 | 250 | 0.7119 | 0.5858 | 0.7119 | 0.8437 |
| No log | 14.0 | 252 | 0.7291 | 0.5825 | 0.7291 | 0.8539 |
| No log | 14.1111 | 254 | 0.7012 | 0.5858 | 0.7012 | 0.8374 |
| No log | 14.2222 | 256 | 0.6830 | 0.5714 | 0.6830 | 0.8264 |
| No log | 14.3333 | 258 | 0.6822 | 0.5871 | 0.6822 | 0.8260 |
| No log | 14.4444 | 260 | 0.6826 | 0.5538 | 0.6826 | 0.8262 |
| No log | 14.5556 | 262 | 0.6797 | 0.5323 | 0.6797 | 0.8245 |
| No log | 14.6667 | 264 | 0.6978 | 0.5271 | 0.6978 | 0.8353 |
| No log | 14.7778 | 266 | 0.7686 | 0.5144 | 0.7686 | 0.8767 |
| No log | 14.8889 | 268 | 0.8271 | 0.5089 | 0.8271 | 0.9094 |
| No log | 15.0 | 270 | 0.7931 | 0.5244 | 0.7931 | 0.8906 |
| No log | 15.1111 | 272 | 0.7340 | 0.5676 | 0.7340 | 0.8568 |
| No log | 15.2222 | 274 | 0.7294 | 0.5319 | 0.7294 | 0.8540 |
| No log | 15.3333 | 276 | 0.7403 | 0.5204 | 0.7403 | 0.8604 |
| No log | 15.4444 | 278 | 0.7539 | 0.5294 | 0.7539 | 0.8683 |
| No log | 15.5556 | 280 | 0.7570 | 0.5286 | 0.7570 | 0.8701 |
| No log | 15.6667 | 282 | 0.7535 | 0.5385 | 0.7535 | 0.8681 |
| No log | 15.7778 | 284 | 0.7656 | 0.5071 | 0.7656 | 0.8750 |
| No log | 15.8889 | 286 | 0.7687 | 0.5246 | 0.7687 | 0.8768 |
| No log | 16.0 | 288 | 0.7699 | 0.5257 | 0.7699 | 0.8774 |
| No log | 16.1111 | 290 | 0.7632 | 0.5505 | 0.7632 | 0.8736 |
| No log | 16.2222 | 292 | 0.7633 | 0.5505 | 0.7633 | 0.8737 |
| No log | 16.3333 | 294 | 0.7422 | 0.5572 | 0.7422 | 0.8615 |
| No log | 16.4444 | 296 | 0.7136 | 0.5600 | 0.7136 | 0.8447 |
| No log | 16.5556 | 298 | 0.7054 | 0.5429 | 0.7054 | 0.8399 |
| No log | 16.6667 | 300 | 0.7048 | 0.5281 | 0.7048 | 0.8395 |
| No log | 16.7778 | 302 | 0.7040 | 0.5320 | 0.7040 | 0.8390 |
| No log | 16.8889 | 304 | 0.6959 | 0.5454 | 0.6959 | 0.8342 |
| No log | 17.0 | 306 | 0.6939 | 0.5494 | 0.6939 | 0.8330 |
| No log | 17.1111 | 308 | 0.7085 | 0.5572 | 0.7085 | 0.8417 |
| No log | 17.2222 | 310 | 0.7450 | 0.5584 | 0.7450 | 0.8631 |
| No log | 17.3333 | 312 | 0.7607 | 0.5584 | 0.7607 | 0.8722 |
| No log | 17.4444 | 314 | 0.7485 | 0.5584 | 0.7485 | 0.8652 |
| No log | 17.5556 | 316 | 0.7359 | 0.5503 | 0.7359 | 0.8578 |
| No log | 17.6667 | 318 | 0.7136 | 0.5358 | 0.7136 | 0.8447 |
| No log | 17.7778 | 320 | 0.7247 | 0.5749 | 0.7247 | 0.8513 |
| No log | 17.8889 | 322 | 0.7203 | 0.5632 | 0.7203 | 0.8487 |
| No log | 18.0 | 324 | 0.7033 | 0.5196 | 0.7033 | 0.8386 |
| No log | 18.1111 | 326 | 0.7157 | 0.5572 | 0.7157 | 0.8460 |
| No log | 18.2222 | 328 | 0.7569 | 0.5331 | 0.7569 | 0.8700 |
| No log | 18.3333 | 330 | 0.7509 | 0.5464 | 0.7509 | 0.8666 |
| No log | 18.4444 | 332 | 0.7259 | 0.5414 | 0.7259 | 0.8520 |
| No log | 18.5556 | 334 | 0.6966 | 0.5551 | 0.6966 | 0.8346 |
| No log | 18.6667 | 336 | 0.7211 | 0.5504 | 0.7211 | 0.8492 |
| No log | 18.7778 | 338 | 0.7284 | 0.5556 | 0.7284 | 0.8535 |
| No log | 18.8889 | 340 | 0.7133 | 0.5634 | 0.7133 | 0.8446 |
| No log | 19.0 | 342 | 0.7306 | 0.5341 | 0.7306 | 0.8548 |
| No log | 19.1111 | 344 | 0.7631 | 0.5288 | 0.7631 | 0.8736 |
| No log | 19.2222 | 346 | 0.7635 | 0.5407 | 0.7635 | 0.8738 |
| No log | 19.3333 | 348 | 0.7529 | 0.5412 | 0.7529 | 0.8677 |
| No log | 19.4444 | 350 | 0.7287 | 0.5424 | 0.7287 | 0.8536 |
| No log | 19.5556 | 352 | 0.7348 | 0.5249 | 0.7348 | 0.8572 |
| No log | 19.6667 | 354 | 0.7343 | 0.4956 | 0.7343 | 0.8569 |
| No log | 19.7778 | 356 | 0.7447 | 0.4882 | 0.7447 | 0.8630 |
| No log | 19.8889 | 358 | 0.7828 | 0.5360 | 0.7828 | 0.8848 |
| No log | 20.0 | 360 | 0.8232 | 0.5309 | 0.8232 | 0.9073 |
| No log | 20.1111 | 362 | 0.8186 | 0.5149 | 0.8186 | 0.9048 |
| No log | 20.2222 | 364 | 0.7788 | 0.5211 | 0.7788 | 0.8825 |
| No log | 20.3333 | 366 | 0.7547 | 0.5132 | 0.7547 | 0.8687 |
| No log | 20.4444 | 368 | 0.7525 | 0.5456 | 0.7525 | 0.8675 |
| No log | 20.5556 | 370 | 0.7596 | 0.5123 | 0.7596 | 0.8716 |
| No log | 20.6667 | 372 | 0.7542 | 0.5315 | 0.7542 | 0.8684 |
| No log | 20.7778 | 374 | 0.7695 | 0.5186 | 0.7695 | 0.8772 |
| No log | 20.8889 | 376 | 0.7695 | 0.5206 | 0.7695 | 0.8772 |
| No log | 21.0 | 378 | 0.7616 | 0.5484 | 0.7616 | 0.8727 |
| No log | 21.1111 | 380 | 0.7453 | 0.5419 | 0.7453 | 0.8633 |
| No log | 21.2222 | 382 | 0.7321 | 0.5752 | 0.7321 | 0.8557 |
| No log | 21.3333 | 384 | 0.7184 | 0.5620 | 0.7184 | 0.8476 |
| No log | 21.4444 | 386 | 0.7315 | 0.5179 | 0.7315 | 0.8553 |
| No log | 21.5556 | 388 | 0.7683 | 0.5141 | 0.7683 | 0.8765 |
| No log | 21.6667 | 390 | 0.7633 | 0.5147 | 0.7633 | 0.8737 |
| No log | 21.7778 | 392 | 0.7179 | 0.4934 | 0.7179 | 0.8473 |
| No log | 21.8889 | 394 | 0.6844 | 0.4880 | 0.6844 | 0.8273 |
| No log | 22.0 | 396 | 0.6956 | 0.5016 | 0.6956 | 0.8340 |
| No log | 22.1111 | 398 | 0.7318 | 0.5176 | 0.7318 | 0.8555 |
| No log | 22.2222 | 400 | 0.7779 | 0.5146 | 0.7779 | 0.8820 |
| No log | 22.3333 | 402 | 0.8461 | 0.5309 | 0.8461 | 0.9198 |
| No log | 22.4444 | 404 | 0.8618 | 0.5234 | 0.8618 | 0.9283 |
| No log | 22.5556 | 406 | 0.8525 | 0.5369 | 0.8525 | 0.9233 |
| No log | 22.6667 | 408 | 0.8463 | 0.5398 | 0.8463 | 0.9200 |
| No log | 22.7778 | 410 | 0.8142 | 0.4974 | 0.8142 | 0.9024 |
| No log | 22.8889 | 412 | 0.7814 | 0.4807 | 0.7814 | 0.8840 |
| No log | 23.0 | 414 | 0.7598 | 0.4828 | 0.7598 | 0.8717 |
| No log | 23.1111 | 416 | 0.7408 | 0.4812 | 0.7408 | 0.8607 |
| No log | 23.2222 | 418 | 0.7408 | 0.4961 | 0.7408 | 0.8607 |
| No log | 23.3333 | 420 | 0.7321 | 0.4936 | 0.7321 | 0.8556 |
| No log | 23.4444 | 422 | 0.7308 | 0.4973 | 0.7308 | 0.8549 |
| No log | 23.5556 | 424 | 0.7675 | 0.5045 | 0.7675 | 0.8761 |
| No log | 23.6667 | 426 | 0.7871 | 0.5013 | 0.7871 | 0.8872 |
| No log | 23.7778 | 428 | 0.7589 | 0.4976 | 0.7589 | 0.8711 |
| No log | 23.8889 | 430 | 0.7064 | 0.5159 | 0.7064 | 0.8405 |
| No log | 24.0 | 432 | 0.6852 | 0.4930 | 0.6852 | 0.8277 |
| No log | 24.1111 | 434 | 0.6928 | 0.5038 | 0.6928 | 0.8324 |
| No log | 24.2222 | 436 | 0.7225 | 0.5295 | 0.7225 | 0.8500 |
| No log | 24.3333 | 438 | 0.7537 | 0.5268 | 0.7537 | 0.8682 |
| No log | 24.4444 | 440 | 0.7554 | 0.5051 | 0.7554 | 0.8691 |
| No log | 24.5556 | 442 | 0.7458 | 0.4857 | 0.7458 | 0.8636 |
| No log | 24.6667 | 444 | 0.7404 | 0.5 | 0.7404 | 0.8605 |
| No log | 24.7778 | 446 | 0.7376 | 0.5080 | 0.7376 | 0.8588 |
| No log | 24.8889 | 448 | 0.7612 | 0.5012 | 0.7612 | 0.8725 |
| No log | 25.0 | 450 | 0.8027 | 0.5075 | 0.8027 | 0.8959 |
| No log | 25.1111 | 452 | 0.8254 | 0.5201 | 0.8254 | 0.9085 |
| No log | 25.2222 | 454 | 0.8296 | 0.5216 | 0.8296 | 0.9108 |
| No log | 25.3333 | 456 | 0.7818 | 0.5155 | 0.7818 | 0.8842 |
| No log | 25.4444 | 458 | 0.7516 | 0.5016 | 0.7516 | 0.8669 |
| No log | 25.5556 | 460 | 0.7484 | 0.5090 | 0.7484 | 0.8651 |
| No log | 25.6667 | 462 | 0.7491 | 0.5054 | 0.7491 | 0.8655 |
| No log | 25.7778 | 464 | 0.7552 | 0.5244 | 0.7552 | 0.8690 |
| No log | 25.8889 | 466 | 0.7570 | 0.5276 | 0.7570 | 0.8701 |
| No log | 26.0 | 468 | 0.7492 | 0.5155 | 0.7492 | 0.8656 |
| No log | 26.1111 | 470 | 0.7243 | 0.5130 | 0.7243 | 0.8511 |
| No log | 26.2222 | 472 | 0.7188 | 0.5016 | 0.7188 | 0.8478 |
| No log | 26.3333 | 474 | 0.7229 | 0.5121 | 0.7229 | 0.8502 |
| No log | 26.4444 | 476 | 0.7472 | 0.5558 | 0.7472 | 0.8644 |
| No log | 26.5556 | 478 | 0.7570 | 0.5398 | 0.7570 | 0.8700 |
| No log | 26.6667 | 480 | 0.7564 | 0.5377 | 0.7564 | 0.8697 |
| No log | 26.7778 | 482 | 0.7306 | 0.5081 | 0.7306 | 0.8547 |
| No log | 26.8889 | 484 | 0.7245 | 0.5155 | 0.7245 | 0.8512 |
| No log | 27.0 | 486 | 0.7426 | 0.5296 | 0.7426 | 0.8617 |
| No log | 27.1111 | 488 | 0.7589 | 0.5023 | 0.7589 | 0.8711 |
| No log | 27.2222 | 490 | 0.7824 | 0.5044 | 0.7824 | 0.8846 |
| No log | 27.3333 | 492 | 0.8245 | 0.54 | 0.8245 | 0.9080 |
| No log | 27.4444 | 494 | 0.8560 | 0.5455 | 0.8560 | 0.9252 |
| No log | 27.5556 | 496 | 0.8346 | 0.5329 | 0.8346 | 0.9135 |
| No log | 27.6667 | 498 | 0.8003 | 0.5157 | 0.8003 | 0.8946 |
| 0.545 | 27.7778 | 500 | 0.7716 | 0.5203 | 0.7716 | 0.8784 |
| 0.545 | 27.8889 | 502 | 0.7569 | 0.5031 | 0.7569 | 0.8700 |
| 0.545 | 28.0 | 504 | 0.7528 | 0.5123 | 0.7528 | 0.8676 |
| 0.545 | 28.1111 | 506 | 0.7600 | 0.5049 | 0.7600 | 0.8718 |
| 0.545 | 28.2222 | 508 | 0.8030 | 0.5137 | 0.8030 | 0.8961 |
| 0.545 | 28.3333 | 510 | 0.8463 | 0.5213 | 0.8463 | 0.9199 |
| 0.545 | 28.4444 | 512 | 0.8264 | 0.5233 | 0.8265 | 0.9091 |
| 0.545 | 28.5556 | 514 | 0.7806 | 0.5189 | 0.7806 | 0.8835 |
| 0.545 | 28.6667 | 516 | 0.7454 | 0.5087 | 0.7454 | 0.8633 |
| 0.545 | 28.7778 | 518 | 0.7419 | 0.5326 | 0.7419 | 0.8613 |
| 0.545 | 28.8889 | 520 | 0.7502 | 0.5216 | 0.7502 | 0.8662 |
| 0.545 | 29.0 | 522 | 0.7592 | 0.5075 | 0.7592 | 0.8713 |
| 0.545 | 29.1111 | 524 | 0.7932 | 0.5100 | 0.7932 | 0.8906 |
| 0.545 | 29.2222 | 526 | 0.8185 | 0.5175 | 0.8185 | 0.9047 |
| 0.545 | 29.3333 | 528 | 0.8150 | 0.5119 | 0.8150 | 0.9027 |
| 0.545 | 29.4444 | 530 | 0.7993 | 0.5042 | 0.7993 | 0.8940 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k7_task2_organization
Base model
aubmindlab/bert-base-arabertv02