Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_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: 0.6120
- Qwk: 0.6046
- Mse: 0.6120
- Rmse: 0.7823
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 | 0.0556 | 2 | 3.8567 | -0.0047 | 3.8567 | 1.9639 |
| No log | 0.1111 | 4 | 2.0105 | 0.0727 | 2.0105 | 1.4179 |
| No log | 0.1667 | 6 | 1.2549 | -0.0148 | 1.2549 | 1.1202 |
| No log | 0.2222 | 8 | 1.3524 | -0.0245 | 1.3524 | 1.1629 |
| No log | 0.2778 | 10 | 2.0828 | 0.0342 | 2.0828 | 1.4432 |
| No log | 0.3333 | 12 | 1.9277 | 0.0733 | 1.9277 | 1.3884 |
| No log | 0.3889 | 14 | 1.3579 | -0.0212 | 1.3579 | 1.1653 |
| No log | 0.4444 | 16 | 1.1292 | 0.2068 | 1.1292 | 1.0626 |
| No log | 0.5 | 18 | 1.0421 | 0.2140 | 1.0421 | 1.0209 |
| No log | 0.5556 | 20 | 1.0086 | 0.1504 | 1.0086 | 1.0043 |
| No log | 0.6111 | 22 | 1.0858 | 0.2873 | 1.0858 | 1.0420 |
| No log | 0.6667 | 24 | 1.0611 | 0.4051 | 1.0611 | 1.0301 |
| No log | 0.7222 | 26 | 1.0456 | 0.3014 | 1.0456 | 1.0226 |
| No log | 0.7778 | 28 | 1.1047 | 0.2004 | 1.1047 | 1.0510 |
| No log | 0.8333 | 30 | 1.1097 | 0.2030 | 1.1097 | 1.0534 |
| No log | 0.8889 | 32 | 1.0770 | 0.2100 | 1.0770 | 1.0378 |
| No log | 0.9444 | 34 | 1.0185 | 0.3540 | 1.0185 | 1.0092 |
| No log | 1.0 | 36 | 1.0004 | 0.2416 | 1.0004 | 1.0002 |
| No log | 1.0556 | 38 | 1.0030 | 0.2978 | 1.0030 | 1.0015 |
| No log | 1.1111 | 40 | 0.9584 | 0.2214 | 0.9584 | 0.9790 |
| No log | 1.1667 | 42 | 1.0020 | 0.2611 | 1.0020 | 1.0010 |
| No log | 1.2222 | 44 | 0.9942 | 0.2196 | 0.9942 | 0.9971 |
| No log | 1.2778 | 46 | 0.9484 | 0.2114 | 0.9484 | 0.9738 |
| No log | 1.3333 | 48 | 0.9981 | 0.2077 | 0.9981 | 0.9991 |
| No log | 1.3889 | 50 | 1.1638 | 0.2188 | 1.1638 | 1.0788 |
| No log | 1.4444 | 52 | 1.0401 | 0.2604 | 1.0401 | 1.0199 |
| No log | 1.5 | 54 | 0.8369 | 0.4 | 0.8369 | 0.9148 |
| No log | 1.5556 | 56 | 0.9467 | 0.3541 | 0.9467 | 0.9730 |
| No log | 1.6111 | 58 | 0.9212 | 0.3666 | 0.9212 | 0.9598 |
| No log | 1.6667 | 60 | 0.8263 | 0.3876 | 0.8263 | 0.9090 |
| No log | 1.7222 | 62 | 0.8329 | 0.3961 | 0.8329 | 0.9126 |
| No log | 1.7778 | 64 | 0.9074 | 0.4025 | 0.9074 | 0.9526 |
| No log | 1.8333 | 66 | 0.9100 | 0.4273 | 0.9100 | 0.9539 |
| No log | 1.8889 | 68 | 0.7956 | 0.4516 | 0.7956 | 0.8920 |
| No log | 1.9444 | 70 | 0.7761 | 0.4019 | 0.7761 | 0.8810 |
| No log | 2.0 | 72 | 0.7772 | 0.4086 | 0.7772 | 0.8816 |
| No log | 2.0556 | 74 | 0.8137 | 0.3071 | 0.8137 | 0.9021 |
| No log | 2.1111 | 76 | 0.8307 | 0.3476 | 0.8307 | 0.9114 |
| No log | 2.1667 | 78 | 0.8999 | 0.3569 | 0.8999 | 0.9486 |
| No log | 2.2222 | 80 | 0.9731 | 0.3308 | 0.9731 | 0.9865 |
| No log | 2.2778 | 82 | 0.9680 | 0.4533 | 0.9680 | 0.9839 |
| No log | 2.3333 | 84 | 0.8660 | 0.5176 | 0.8660 | 0.9306 |
| No log | 2.3889 | 86 | 0.8541 | 0.3721 | 0.8541 | 0.9242 |
| No log | 2.4444 | 88 | 0.9334 | 0.3654 | 0.9334 | 0.9661 |
| No log | 2.5 | 90 | 1.0240 | 0.2794 | 1.0240 | 1.0119 |
| No log | 2.5556 | 92 | 0.9528 | 0.2618 | 0.9528 | 0.9761 |
| No log | 2.6111 | 94 | 1.0162 | 0.2171 | 1.0162 | 1.0081 |
| No log | 2.6667 | 96 | 1.0311 | 0.2465 | 1.0311 | 1.0154 |
| No log | 2.7222 | 98 | 0.8802 | 0.3414 | 0.8802 | 0.9382 |
| No log | 2.7778 | 100 | 0.8379 | 0.4301 | 0.8379 | 0.9153 |
| No log | 2.8333 | 102 | 0.9871 | 0.3400 | 0.9871 | 0.9935 |
| No log | 2.8889 | 104 | 1.0134 | 0.3663 | 1.0134 | 1.0067 |
| No log | 2.9444 | 106 | 1.1833 | 0.3293 | 1.1833 | 1.0878 |
| No log | 3.0 | 108 | 1.0381 | 0.3744 | 1.0381 | 1.0188 |
| No log | 3.0556 | 110 | 0.7991 | 0.5680 | 0.7991 | 0.8939 |
| No log | 3.1111 | 112 | 0.8049 | 0.4734 | 0.8049 | 0.8971 |
| No log | 3.1667 | 114 | 0.7846 | 0.4644 | 0.7846 | 0.8858 |
| No log | 3.2222 | 116 | 0.8865 | 0.2873 | 0.8865 | 0.9415 |
| No log | 3.2778 | 118 | 0.8347 | 0.3658 | 0.8347 | 0.9136 |
| No log | 3.3333 | 120 | 0.7584 | 0.4822 | 0.7584 | 0.8709 |
| No log | 3.3889 | 122 | 0.7849 | 0.4472 | 0.7849 | 0.8859 |
| No log | 3.4444 | 124 | 0.7474 | 0.4914 | 0.7474 | 0.8645 |
| No log | 3.5 | 126 | 0.8043 | 0.4697 | 0.8043 | 0.8968 |
| No log | 3.5556 | 128 | 0.7462 | 0.5572 | 0.7462 | 0.8638 |
| No log | 3.6111 | 130 | 0.6858 | 0.5302 | 0.6858 | 0.8281 |
| No log | 3.6667 | 132 | 0.6944 | 0.5428 | 0.6944 | 0.8333 |
| No log | 3.7222 | 134 | 0.6680 | 0.5635 | 0.6680 | 0.8173 |
| No log | 3.7778 | 136 | 0.6674 | 0.5635 | 0.6674 | 0.8169 |
| No log | 3.8333 | 138 | 0.6549 | 0.5635 | 0.6549 | 0.8093 |
| No log | 3.8889 | 140 | 0.6604 | 0.6001 | 0.6604 | 0.8127 |
| No log | 3.9444 | 142 | 0.6668 | 0.5302 | 0.6668 | 0.8166 |
| No log | 4.0 | 144 | 0.8031 | 0.5359 | 0.8031 | 0.8962 |
| No log | 4.0556 | 146 | 0.9385 | 0.4764 | 0.9385 | 0.9688 |
| No log | 4.1111 | 148 | 0.8552 | 0.4752 | 0.8552 | 0.9248 |
| No log | 4.1667 | 150 | 0.6833 | 0.4960 | 0.6833 | 0.8266 |
| No log | 4.2222 | 152 | 0.7377 | 0.4560 | 0.7377 | 0.8589 |
| No log | 4.2778 | 154 | 0.7602 | 0.4162 | 0.7602 | 0.8719 |
| No log | 4.3333 | 156 | 0.7128 | 0.5108 | 0.7128 | 0.8443 |
| No log | 4.3889 | 158 | 0.6752 | 0.6127 | 0.6752 | 0.8217 |
| No log | 4.4444 | 160 | 0.7131 | 0.5083 | 0.7131 | 0.8444 |
| No log | 4.5 | 162 | 0.9322 | 0.3847 | 0.9322 | 0.9655 |
| No log | 4.5556 | 164 | 1.0387 | 0.3744 | 1.0387 | 1.0192 |
| No log | 4.6111 | 166 | 0.8694 | 0.4284 | 0.8694 | 0.9324 |
| No log | 4.6667 | 168 | 0.7007 | 0.5712 | 0.7007 | 0.8371 |
| No log | 4.7222 | 170 | 0.7061 | 0.5202 | 0.7061 | 0.8403 |
| No log | 4.7778 | 172 | 0.6832 | 0.5060 | 0.6832 | 0.8266 |
| No log | 4.8333 | 174 | 0.7470 | 0.4714 | 0.7470 | 0.8643 |
| No log | 4.8889 | 176 | 0.8303 | 0.3864 | 0.8303 | 0.9112 |
| No log | 4.9444 | 178 | 0.8761 | 0.4407 | 0.8761 | 0.9360 |
| No log | 5.0 | 180 | 0.7324 | 0.5400 | 0.7324 | 0.8558 |
| No log | 5.0556 | 182 | 0.6685 | 0.5432 | 0.6685 | 0.8176 |
| No log | 5.1111 | 184 | 0.6773 | 0.5441 | 0.6773 | 0.8230 |
| No log | 5.1667 | 186 | 0.6485 | 0.6475 | 0.6485 | 0.8053 |
| No log | 5.2222 | 188 | 0.6540 | 0.6465 | 0.6540 | 0.8087 |
| No log | 5.2778 | 190 | 0.6347 | 0.5432 | 0.6347 | 0.7967 |
| No log | 5.3333 | 192 | 0.7254 | 0.4893 | 0.7254 | 0.8517 |
| No log | 5.3889 | 194 | 0.8568 | 0.4841 | 0.8568 | 0.9256 |
| No log | 5.4444 | 196 | 0.7387 | 0.5459 | 0.7387 | 0.8595 |
| No log | 5.5 | 198 | 0.6585 | 0.5386 | 0.6585 | 0.8115 |
| No log | 5.5556 | 200 | 0.7647 | 0.5356 | 0.7647 | 0.8745 |
| No log | 5.6111 | 202 | 0.8171 | 0.4907 | 0.8171 | 0.9039 |
| No log | 5.6667 | 204 | 0.7598 | 0.4599 | 0.7598 | 0.8717 |
| No log | 5.7222 | 206 | 0.7313 | 0.5171 | 0.7313 | 0.8552 |
| No log | 5.7778 | 208 | 0.8570 | 0.4578 | 0.8570 | 0.9257 |
| No log | 5.8333 | 210 | 0.8708 | 0.4240 | 0.8708 | 0.9332 |
| No log | 5.8889 | 212 | 0.7538 | 0.4998 | 0.7538 | 0.8682 |
| No log | 5.9444 | 214 | 0.6797 | 0.5156 | 0.6797 | 0.8244 |
| No log | 6.0 | 216 | 0.7300 | 0.5433 | 0.7300 | 0.8544 |
| No log | 6.0556 | 218 | 0.7433 | 0.5618 | 0.7433 | 0.8622 |
| No log | 6.1111 | 220 | 0.6788 | 0.5605 | 0.6788 | 0.8239 |
| No log | 6.1667 | 222 | 0.6499 | 0.5635 | 0.6499 | 0.8062 |
| No log | 6.2222 | 224 | 0.6514 | 0.5647 | 0.6514 | 0.8071 |
| No log | 6.2778 | 226 | 0.6461 | 0.5626 | 0.6461 | 0.8038 |
| No log | 6.3333 | 228 | 0.6460 | 0.5274 | 0.6460 | 0.8037 |
| No log | 6.3889 | 230 | 0.6562 | 0.6073 | 0.6562 | 0.8101 |
| No log | 6.4444 | 232 | 0.6529 | 0.5505 | 0.6529 | 0.8080 |
| No log | 6.5 | 234 | 0.6522 | 0.5523 | 0.6522 | 0.8076 |
| No log | 6.5556 | 236 | 0.6652 | 0.6262 | 0.6652 | 0.8156 |
| No log | 6.6111 | 238 | 0.6950 | 0.6415 | 0.6950 | 0.8336 |
| No log | 6.6667 | 240 | 0.6933 | 0.6051 | 0.6933 | 0.8327 |
| No log | 6.7222 | 242 | 0.6607 | 0.6311 | 0.6607 | 0.8128 |
| No log | 6.7778 | 244 | 0.6321 | 0.6076 | 0.6321 | 0.7950 |
| No log | 6.8333 | 246 | 0.6478 | 0.5830 | 0.6478 | 0.8049 |
| No log | 6.8889 | 248 | 0.6474 | 0.6144 | 0.6474 | 0.8046 |
| No log | 6.9444 | 250 | 0.6121 | 0.6046 | 0.6121 | 0.7824 |
| No log | 7.0 | 252 | 0.6462 | 0.6479 | 0.6462 | 0.8039 |
| No log | 7.0556 | 254 | 0.7545 | 0.5346 | 0.7545 | 0.8686 |
| No log | 7.1111 | 256 | 0.7366 | 0.5346 | 0.7366 | 0.8582 |
| No log | 7.1667 | 258 | 0.6423 | 0.6441 | 0.6423 | 0.8014 |
| No log | 7.2222 | 260 | 0.6026 | 0.6606 | 0.6026 | 0.7763 |
| No log | 7.2778 | 262 | 0.6481 | 0.5536 | 0.6481 | 0.8051 |
| No log | 7.3333 | 264 | 0.6515 | 0.5635 | 0.6515 | 0.8072 |
| No log | 7.3889 | 266 | 0.6822 | 0.5763 | 0.6822 | 0.8259 |
| No log | 7.4444 | 268 | 0.7182 | 0.5400 | 0.7182 | 0.8475 |
| No log | 7.5 | 270 | 0.6971 | 0.5688 | 0.6971 | 0.8349 |
| No log | 7.5556 | 272 | 0.6897 | 0.5415 | 0.6897 | 0.8305 |
| No log | 7.6111 | 274 | 0.7154 | 0.5312 | 0.7154 | 0.8458 |
| No log | 7.6667 | 276 | 0.6993 | 0.5300 | 0.6993 | 0.8362 |
| No log | 7.7222 | 278 | 0.7227 | 0.5748 | 0.7227 | 0.8501 |
| No log | 7.7778 | 280 | 0.7097 | 0.6035 | 0.7097 | 0.8425 |
| No log | 7.8333 | 282 | 0.7235 | 0.5648 | 0.7235 | 0.8506 |
| No log | 7.8889 | 284 | 0.6724 | 0.5726 | 0.6724 | 0.8200 |
| No log | 7.9444 | 286 | 0.6498 | 0.6123 | 0.6498 | 0.8061 |
| No log | 8.0 | 288 | 0.6483 | 0.6154 | 0.6483 | 0.8052 |
| No log | 8.0556 | 290 | 0.6548 | 0.6143 | 0.6548 | 0.8092 |
| No log | 8.1111 | 292 | 0.6564 | 0.5932 | 0.6564 | 0.8102 |
| No log | 8.1667 | 294 | 0.6588 | 0.6325 | 0.6588 | 0.8117 |
| No log | 8.2222 | 296 | 0.6608 | 0.6325 | 0.6608 | 0.8129 |
| No log | 8.2778 | 298 | 0.6578 | 0.6325 | 0.6578 | 0.8111 |
| No log | 8.3333 | 300 | 0.6559 | 0.5722 | 0.6559 | 0.8099 |
| No log | 8.3889 | 302 | 0.6820 | 0.5522 | 0.6820 | 0.8259 |
| No log | 8.4444 | 304 | 0.6980 | 0.4473 | 0.6980 | 0.8354 |
| No log | 8.5 | 306 | 0.6680 | 0.5549 | 0.6680 | 0.8173 |
| No log | 8.5556 | 308 | 0.6804 | 0.5103 | 0.6804 | 0.8249 |
| No log | 8.6111 | 310 | 0.6710 | 0.5103 | 0.6710 | 0.8192 |
| No log | 8.6667 | 312 | 0.6489 | 0.5747 | 0.6489 | 0.8055 |
| No log | 8.7222 | 314 | 0.6455 | 0.6286 | 0.6455 | 0.8034 |
| No log | 8.7778 | 316 | 0.6657 | 0.6325 | 0.6657 | 0.8159 |
| No log | 8.8333 | 318 | 0.6814 | 0.5949 | 0.6814 | 0.8255 |
| No log | 8.8889 | 320 | 0.6818 | 0.5156 | 0.6818 | 0.8257 |
| No log | 8.9444 | 322 | 0.6956 | 0.4914 | 0.6956 | 0.8340 |
| No log | 9.0 | 324 | 0.7000 | 0.5156 | 0.7000 | 0.8367 |
| No log | 9.0556 | 326 | 0.7158 | 0.5490 | 0.7158 | 0.8460 |
| No log | 9.1111 | 328 | 0.7003 | 0.5490 | 0.7003 | 0.8369 |
| No log | 9.1667 | 330 | 0.6672 | 0.5490 | 0.6672 | 0.8168 |
| No log | 9.2222 | 332 | 0.6757 | 0.5676 | 0.6757 | 0.8220 |
| No log | 9.2778 | 334 | 0.6713 | 0.5688 | 0.6713 | 0.8193 |
| No log | 9.3333 | 336 | 0.6453 | 0.5590 | 0.6453 | 0.8033 |
| No log | 9.3889 | 338 | 0.6426 | 0.5590 | 0.6426 | 0.8016 |
| No log | 9.4444 | 340 | 0.6225 | 0.6143 | 0.6225 | 0.7890 |
| No log | 9.5 | 342 | 0.5808 | 0.6673 | 0.5808 | 0.7621 |
| No log | 9.5556 | 344 | 0.5825 | 0.6806 | 0.5825 | 0.7632 |
| No log | 9.6111 | 346 | 0.6347 | 0.6438 | 0.6347 | 0.7967 |
| No log | 9.6667 | 348 | 0.6379 | 0.6740 | 0.6379 | 0.7987 |
| No log | 9.7222 | 350 | 0.6172 | 0.6291 | 0.6172 | 0.7856 |
| No log | 9.7778 | 352 | 0.5874 | 0.6230 | 0.5874 | 0.7664 |
| No log | 9.8333 | 354 | 0.6500 | 0.5141 | 0.6500 | 0.8062 |
| No log | 9.8889 | 356 | 0.6575 | 0.5141 | 0.6575 | 0.8108 |
| No log | 9.9444 | 358 | 0.6291 | 0.5343 | 0.6291 | 0.7932 |
| No log | 10.0 | 360 | 0.6073 | 0.6107 | 0.6073 | 0.7793 |
| No log | 10.0556 | 362 | 0.6277 | 0.6096 | 0.6277 | 0.7923 |
| No log | 10.1111 | 364 | 0.6468 | 0.5735 | 0.6468 | 0.8043 |
| No log | 10.1667 | 366 | 0.6330 | 0.6096 | 0.6330 | 0.7956 |
| No log | 10.2222 | 368 | 0.6330 | 0.6488 | 0.6330 | 0.7956 |
| No log | 10.2778 | 370 | 0.6737 | 0.6187 | 0.6737 | 0.8208 |
| No log | 10.3333 | 372 | 0.6981 | 0.5774 | 0.6981 | 0.8355 |
| No log | 10.3889 | 374 | 0.6492 | 0.5712 | 0.6492 | 0.8058 |
| No log | 10.4444 | 376 | 0.6207 | 0.5955 | 0.6207 | 0.7878 |
| No log | 10.5 | 378 | 0.6155 | 0.5955 | 0.6155 | 0.7845 |
| No log | 10.5556 | 380 | 0.6347 | 0.6113 | 0.6347 | 0.7967 |
| No log | 10.6111 | 382 | 0.6851 | 0.5728 | 0.6851 | 0.8277 |
| No log | 10.6667 | 384 | 0.6878 | 0.5521 | 0.6878 | 0.8294 |
| No log | 10.7222 | 386 | 0.6938 | 0.4812 | 0.6938 | 0.8329 |
| No log | 10.7778 | 388 | 0.6836 | 0.4828 | 0.6836 | 0.8268 |
| No log | 10.8333 | 390 | 0.6612 | 0.4613 | 0.6612 | 0.8131 |
| No log | 10.8889 | 392 | 0.6436 | 0.4613 | 0.6436 | 0.8023 |
| No log | 10.9444 | 394 | 0.6510 | 0.6109 | 0.6510 | 0.8068 |
| No log | 11.0 | 396 | 0.6643 | 0.6640 | 0.6643 | 0.8151 |
| No log | 11.0556 | 398 | 0.6011 | 0.6626 | 0.6011 | 0.7753 |
| No log | 11.1111 | 400 | 0.5987 | 0.6249 | 0.5987 | 0.7738 |
| No log | 11.1667 | 402 | 0.6101 | 0.6057 | 0.6101 | 0.7811 |
| No log | 11.2222 | 404 | 0.6229 | 0.5647 | 0.6229 | 0.7892 |
| No log | 11.2778 | 406 | 0.6391 | 0.5647 | 0.6391 | 0.7994 |
| No log | 11.3333 | 408 | 0.6474 | 0.5647 | 0.6474 | 0.8046 |
| No log | 11.3889 | 410 | 0.6420 | 0.5647 | 0.6420 | 0.8013 |
| No log | 11.4444 | 412 | 0.6431 | 0.5040 | 0.6431 | 0.8020 |
| No log | 11.5 | 414 | 0.6482 | 0.5156 | 0.6482 | 0.8051 |
| No log | 11.5556 | 416 | 0.6329 | 0.5724 | 0.6329 | 0.7955 |
| No log | 11.6111 | 418 | 0.6270 | 0.6057 | 0.6270 | 0.7918 |
| No log | 11.6667 | 420 | 0.6355 | 0.6249 | 0.6355 | 0.7972 |
| No log | 11.7222 | 422 | 0.6464 | 0.6078 | 0.6464 | 0.8040 |
| No log | 11.7778 | 424 | 0.6387 | 0.6297 | 0.6387 | 0.7992 |
| No log | 11.8333 | 426 | 0.6299 | 0.6288 | 0.6299 | 0.7936 |
| No log | 11.8889 | 428 | 0.6349 | 0.6623 | 0.6349 | 0.7968 |
| No log | 11.9444 | 430 | 0.6178 | 0.5874 | 0.6178 | 0.7860 |
| No log | 12.0 | 432 | 0.6276 | 0.5874 | 0.6276 | 0.7922 |
| No log | 12.0556 | 434 | 0.6195 | 0.5759 | 0.6195 | 0.7871 |
| No log | 12.1111 | 436 | 0.6037 | 0.5647 | 0.6037 | 0.7770 |
| No log | 12.1667 | 438 | 0.6080 | 0.6380 | 0.6080 | 0.7797 |
| No log | 12.2222 | 440 | 0.6311 | 0.6557 | 0.6311 | 0.7944 |
| No log | 12.2778 | 442 | 0.6545 | 0.6664 | 0.6545 | 0.8090 |
| No log | 12.3333 | 444 | 0.6549 | 0.5274 | 0.6549 | 0.8093 |
| No log | 12.3889 | 446 | 0.6784 | 0.4960 | 0.6784 | 0.8237 |
| No log | 12.4444 | 448 | 0.6854 | 0.4960 | 0.6854 | 0.8279 |
| No log | 12.5 | 450 | 0.6694 | 0.5302 | 0.6694 | 0.8182 |
| No log | 12.5556 | 452 | 0.7126 | 0.5403 | 0.7126 | 0.8441 |
| No log | 12.6111 | 454 | 0.7584 | 0.5266 | 0.7584 | 0.8708 |
| No log | 12.6667 | 456 | 0.7056 | 0.5416 | 0.7056 | 0.8400 |
| No log | 12.7222 | 458 | 0.6440 | 0.5798 | 0.6440 | 0.8025 |
| No log | 12.7778 | 460 | 0.6260 | 0.5932 | 0.6260 | 0.7912 |
| No log | 12.8333 | 462 | 0.6428 | 0.5921 | 0.6428 | 0.8018 |
| No log | 12.8889 | 464 | 0.7283 | 0.5387 | 0.7283 | 0.8534 |
| No log | 12.9444 | 466 | 0.8123 | 0.4652 | 0.8123 | 0.9013 |
| No log | 13.0 | 468 | 0.8597 | 0.4332 | 0.8597 | 0.9272 |
| No log | 13.0556 | 470 | 0.8106 | 0.4311 | 0.8106 | 0.9003 |
| No log | 13.1111 | 472 | 0.6799 | 0.5925 | 0.6799 | 0.8246 |
| No log | 13.1667 | 474 | 0.6002 | 0.5759 | 0.6002 | 0.7747 |
| No log | 13.2222 | 476 | 0.6067 | 0.5894 | 0.6067 | 0.7789 |
| No log | 13.2778 | 478 | 0.6128 | 0.6822 | 0.6128 | 0.7828 |
| No log | 13.3333 | 480 | 0.5939 | 0.6708 | 0.5939 | 0.7706 |
| No log | 13.3889 | 482 | 0.5826 | 0.6374 | 0.5826 | 0.7633 |
| No log | 13.4444 | 484 | 0.5855 | 0.6057 | 0.5855 | 0.7652 |
| No log | 13.5 | 486 | 0.5978 | 0.6164 | 0.5978 | 0.7732 |
| No log | 13.5556 | 488 | 0.6360 | 0.5638 | 0.6360 | 0.7975 |
| No log | 13.6111 | 490 | 0.7245 | 0.6172 | 0.7245 | 0.8512 |
| No log | 13.6667 | 492 | 0.8100 | 0.5709 | 0.8100 | 0.9000 |
| No log | 13.7222 | 494 | 0.7283 | 0.6081 | 0.7283 | 0.8534 |
| No log | 13.7778 | 496 | 0.6334 | 0.5614 | 0.6334 | 0.7959 |
| No log | 13.8333 | 498 | 0.6697 | 0.6252 | 0.6697 | 0.8183 |
| 0.2857 | 13.8889 | 500 | 0.6828 | 0.6252 | 0.6828 | 0.8263 |
| 0.2857 | 13.9444 | 502 | 0.6378 | 0.6380 | 0.6378 | 0.7986 |
| 0.2857 | 14.0 | 504 | 0.6040 | 0.5939 | 0.6040 | 0.7772 |
| 0.2857 | 14.0556 | 506 | 0.6202 | 0.6078 | 0.6202 | 0.7875 |
| 0.2857 | 14.1111 | 508 | 0.6160 | 0.5868 | 0.6160 | 0.7849 |
| 0.2857 | 14.1667 | 510 | 0.6052 | 0.5939 | 0.6052 | 0.7779 |
| 0.2857 | 14.2222 | 512 | 0.6120 | 0.6046 | 0.6120 | 0.7823 |
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/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task5_organization
Base model
aubmindlab/bert-base-arabertv02