Instructions to use MayBashendy/Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1
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: 0.4207
- Qwk: 0.4444
- Mse: 0.4207
- Rmse: 0.6486
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 | 0.0444 | 2 | 4.5873 | 0.0 | 4.5873 | 2.1418 |
| No log | 0.0889 | 4 | 2.8879 | -0.0331 | 2.8879 | 1.6994 |
| No log | 0.1333 | 6 | 1.5939 | 0.0 | 1.5939 | 1.2625 |
| No log | 0.1778 | 8 | 1.0368 | 0.1437 | 1.0368 | 1.0182 |
| No log | 0.2222 | 10 | 1.0340 | 0.0 | 1.0340 | 1.0169 |
| No log | 0.2667 | 12 | 1.2855 | 0.0 | 1.2855 | 1.1338 |
| No log | 0.3111 | 14 | 1.5445 | 0.0 | 1.5445 | 1.2428 |
| No log | 0.3556 | 16 | 1.4286 | 0.0 | 1.4286 | 1.1952 |
| No log | 0.4 | 18 | 1.3724 | 0.0 | 1.3724 | 1.1715 |
| No log | 0.4444 | 20 | 1.3301 | 0.0 | 1.3301 | 1.1533 |
| No log | 0.4889 | 22 | 0.9246 | -0.2550 | 0.9246 | 0.9616 |
| No log | 0.5333 | 24 | 0.8546 | -0.2655 | 0.8546 | 0.9245 |
| No log | 0.5778 | 26 | 1.0529 | -0.2515 | 1.0529 | 1.0261 |
| No log | 0.6222 | 28 | 1.3397 | 0.0 | 1.3397 | 1.1574 |
| No log | 0.6667 | 30 | 1.4524 | 0.0 | 1.4524 | 1.2051 |
| No log | 0.7111 | 32 | 1.4296 | 0.0 | 1.4296 | 1.1957 |
| No log | 0.7556 | 34 | 1.2875 | 0.0 | 1.2875 | 1.1347 |
| No log | 0.8 | 36 | 0.9484 | 0.0 | 0.9484 | 0.9738 |
| No log | 0.8444 | 38 | 0.9163 | 0.0 | 0.9163 | 0.9572 |
| No log | 0.8889 | 40 | 0.8605 | 0.1646 | 0.8605 | 0.9276 |
| No log | 0.9333 | 42 | 1.0778 | 0.0 | 1.0778 | 1.0382 |
| No log | 0.9778 | 44 | 1.1478 | 0.0 | 1.1478 | 1.0713 |
| No log | 1.0222 | 46 | 0.9090 | 0.0 | 0.9090 | 0.9534 |
| No log | 1.0667 | 48 | 0.8062 | 0.3038 | 0.8062 | 0.8979 |
| No log | 1.1111 | 50 | 0.7755 | -0.0820 | 0.7755 | 0.8806 |
| No log | 1.1556 | 52 | 0.8495 | -0.0577 | 0.8495 | 0.9217 |
| No log | 1.2 | 54 | 1.0310 | -0.4027 | 1.0310 | 1.0154 |
| No log | 1.2444 | 56 | 0.8215 | -0.1000 | 0.8215 | 0.9064 |
| No log | 1.2889 | 58 | 0.8783 | 0.1646 | 0.8783 | 0.9372 |
| No log | 1.3333 | 60 | 1.0236 | 0.0 | 1.0236 | 1.0117 |
| No log | 1.3778 | 62 | 1.0528 | 0.0 | 1.0528 | 1.0261 |
| No log | 1.4222 | 64 | 0.8918 | 0.0 | 0.8918 | 0.9444 |
| No log | 1.4667 | 66 | 0.7301 | -0.0233 | 0.7301 | 0.8545 |
| No log | 1.5111 | 68 | 0.7057 | -0.0577 | 0.7057 | 0.8401 |
| No log | 1.5556 | 70 | 0.7746 | 0.3356 | 0.7746 | 0.8801 |
| No log | 1.6 | 72 | 0.8583 | 0.3038 | 0.8583 | 0.9265 |
| No log | 1.6444 | 74 | 0.8472 | 0.3038 | 0.8472 | 0.9204 |
| No log | 1.6889 | 76 | 0.7202 | 0.0763 | 0.7202 | 0.8487 |
| No log | 1.7333 | 78 | 0.7396 | 0.0763 | 0.7396 | 0.8600 |
| No log | 1.7778 | 80 | 1.0645 | 0.0 | 1.0645 | 1.0318 |
| No log | 1.8222 | 82 | 1.2956 | 0.0 | 1.2956 | 1.1382 |
| No log | 1.8667 | 84 | 1.1869 | 0.0 | 1.1869 | 1.0894 |
| No log | 1.9111 | 86 | 0.9278 | 0.0 | 0.9278 | 0.9632 |
| No log | 1.9556 | 88 | 0.7599 | 0.1239 | 0.7599 | 0.8717 |
| No log | 2.0 | 90 | 0.6576 | 0.0 | 0.6576 | 0.8109 |
| No log | 2.0444 | 92 | 0.6596 | 0.0 | 0.6596 | 0.8121 |
| No log | 2.0889 | 94 | 0.6836 | 0.0 | 0.6836 | 0.8268 |
| No log | 2.1333 | 96 | 0.7377 | -0.0421 | 0.7377 | 0.8589 |
| No log | 2.1778 | 98 | 0.8238 | 0.1646 | 0.8238 | 0.9076 |
| No log | 2.2222 | 100 | 1.0253 | 0.0 | 1.0253 | 1.0126 |
| No log | 2.2667 | 102 | 1.0933 | 0.0 | 1.0933 | 1.0456 |
| No log | 2.3111 | 104 | 1.0143 | 0.0 | 1.0143 | 1.0071 |
| No log | 2.3556 | 106 | 0.8246 | 0.3038 | 0.8246 | 0.9081 |
| No log | 2.4 | 108 | 0.7135 | 0.3714 | 0.7135 | 0.8447 |
| No log | 2.4444 | 110 | 0.5600 | 0.5769 | 0.5600 | 0.7483 |
| No log | 2.4889 | 112 | 0.4641 | 0.0 | 0.4641 | 0.6813 |
| No log | 2.5333 | 114 | 0.4950 | -0.0233 | 0.4950 | 0.7036 |
| No log | 2.5778 | 116 | 0.8925 | 0.0253 | 0.8925 | 0.9447 |
| No log | 2.6222 | 118 | 1.3082 | 0.0 | 1.3082 | 1.1438 |
| No log | 2.6667 | 120 | 1.4336 | 0.0 | 1.4336 | 1.1973 |
| No log | 2.7111 | 122 | 1.3156 | 0.0 | 1.3156 | 1.1470 |
| No log | 2.7556 | 124 | 1.1090 | 0.0 | 1.1090 | 1.0531 |
| No log | 2.8 | 126 | 0.8548 | 0.1437 | 0.8548 | 0.9245 |
| No log | 2.8444 | 128 | 0.6539 | 0.0 | 0.6539 | 0.8086 |
| No log | 2.8889 | 130 | 0.5944 | 0.0 | 0.5944 | 0.7710 |
| No log | 2.9333 | 132 | 0.5857 | 0.0 | 0.5857 | 0.7653 |
| No log | 2.9778 | 134 | 0.5968 | 0.0 | 0.5968 | 0.7726 |
| No log | 3.0222 | 136 | 0.6426 | 0.0 | 0.6426 | 0.8016 |
| No log | 3.0667 | 138 | 0.7252 | 0.1895 | 0.7252 | 0.8516 |
| No log | 3.1111 | 140 | 0.7634 | 0.0984 | 0.7634 | 0.8737 |
| No log | 3.1556 | 142 | 0.8541 | 0.1437 | 0.8541 | 0.9242 |
| No log | 3.2 | 144 | 0.9033 | 0.1437 | 0.9033 | 0.9504 |
| No log | 3.2444 | 146 | 0.9030 | 0.1437 | 0.9030 | 0.9503 |
| No log | 3.2889 | 148 | 0.9210 | 0.1437 | 0.9210 | 0.9597 |
| No log | 3.3333 | 150 | 0.7059 | 0.1239 | 0.7059 | 0.8402 |
| No log | 3.3778 | 152 | 0.5635 | 0.1895 | 0.5635 | 0.7507 |
| No log | 3.4222 | 154 | 0.4876 | 0.2326 | 0.4876 | 0.6983 |
| No log | 3.4667 | 156 | 0.4612 | 0.0 | 0.4612 | 0.6791 |
| No log | 3.5111 | 158 | 0.4943 | 0.0 | 0.4943 | 0.7030 |
| No log | 3.5556 | 160 | 0.6209 | 0.1239 | 0.6209 | 0.7880 |
| No log | 3.6 | 162 | 1.8664 | 0.0797 | 1.8664 | 1.3662 |
| No log | 3.6444 | 164 | 2.2401 | 0.0435 | 2.2401 | 1.4967 |
| No log | 3.6889 | 166 | 1.6279 | 0.1270 | 1.6279 | 1.2759 |
| No log | 3.7333 | 168 | 0.7538 | 0.1239 | 0.7538 | 0.8682 |
| No log | 3.7778 | 170 | 0.5371 | 0.0 | 0.5371 | 0.7329 |
| No log | 3.8222 | 172 | 0.5903 | 0.0 | 0.5903 | 0.7683 |
| No log | 3.8667 | 174 | 0.5168 | 0.0 | 0.5168 | 0.7189 |
| No log | 3.9111 | 176 | 0.5021 | 0.2326 | 0.5021 | 0.7086 |
| No log | 3.9556 | 178 | 0.5547 | 0.5769 | 0.5547 | 0.7448 |
| No log | 4.0 | 180 | 0.7069 | 0.3356 | 0.7069 | 0.8407 |
| No log | 4.0444 | 182 | 0.6775 | 0.3356 | 0.6775 | 0.8231 |
| No log | 4.0889 | 184 | 0.4583 | 0.1895 | 0.4583 | 0.6769 |
| No log | 4.1333 | 186 | 0.4057 | 0.0 | 0.4057 | 0.6370 |
| No log | 4.1778 | 188 | 0.4174 | 0.0 | 0.4174 | 0.6461 |
| No log | 4.2222 | 190 | 0.3933 | 0.2326 | 0.3933 | 0.6272 |
| No log | 4.2667 | 192 | 0.3921 | 0.2326 | 0.3921 | 0.6261 |
| No log | 4.3111 | 194 | 0.3986 | 0.2326 | 0.3986 | 0.6313 |
| No log | 4.3556 | 196 | 0.4503 | 0.2326 | 0.4503 | 0.6711 |
| No log | 4.4 | 198 | 0.4195 | 0.2326 | 0.4195 | 0.6477 |
| No log | 4.4444 | 200 | 0.4192 | 0.2326 | 0.4192 | 0.6475 |
| No log | 4.4889 | 202 | 0.4849 | 0.1895 | 0.4849 | 0.6963 |
| No log | 4.5333 | 204 | 0.4655 | 0.1895 | 0.4655 | 0.6823 |
| No log | 4.5778 | 206 | 0.4251 | 0.2326 | 0.4251 | 0.6520 |
| No log | 4.6222 | 208 | 0.4385 | 0.4444 | 0.4385 | 0.6622 |
| No log | 4.6667 | 210 | 0.4499 | 0.2326 | 0.4499 | 0.6707 |
| No log | 4.7111 | 212 | 0.4668 | 0.2326 | 0.4668 | 0.6832 |
| No log | 4.7556 | 214 | 0.4700 | 0.4444 | 0.4700 | 0.6856 |
| No log | 4.8 | 216 | 0.5288 | 0.384 | 0.5288 | 0.7272 |
| No log | 4.8444 | 218 | 0.5146 | 0.384 | 0.5146 | 0.7173 |
| No log | 4.8889 | 220 | 0.4940 | 0.2326 | 0.4940 | 0.7028 |
| No log | 4.9333 | 222 | 0.4825 | 0.2326 | 0.4825 | 0.6947 |
| No log | 4.9778 | 224 | 0.5687 | 0.1895 | 0.5687 | 0.7542 |
| No log | 5.0222 | 226 | 0.5118 | 0.1895 | 0.5118 | 0.7154 |
| No log | 5.0667 | 228 | 0.4982 | 0.1895 | 0.4982 | 0.7058 |
| No log | 5.1111 | 230 | 0.6042 | 0.1895 | 0.6042 | 0.7773 |
| No log | 5.1556 | 232 | 0.5529 | 0.1895 | 0.5529 | 0.7436 |
| No log | 5.2 | 234 | 0.4827 | 0.2326 | 0.4827 | 0.6947 |
| No log | 5.2444 | 236 | 0.4994 | 0.2326 | 0.4994 | 0.7067 |
| No log | 5.2889 | 238 | 0.4815 | 0.2326 | 0.4815 | 0.6939 |
| No log | 5.3333 | 240 | 0.5374 | 0.1895 | 0.5374 | 0.7331 |
| No log | 5.3778 | 242 | 0.8677 | -0.0820 | 0.8677 | 0.9315 |
| No log | 5.4222 | 244 | 0.8111 | -0.0820 | 0.8111 | 0.9006 |
| No log | 5.4667 | 246 | 0.5044 | 0.2326 | 0.5044 | 0.7102 |
| No log | 5.5111 | 248 | 0.5260 | 0.6071 | 0.5260 | 0.7253 |
| No log | 5.5556 | 250 | 0.5294 | 0.6071 | 0.5294 | 0.7276 |
| No log | 5.6 | 252 | 0.4698 | 0.2326 | 0.4698 | 0.6854 |
| No log | 5.6444 | 254 | 0.4774 | 0.2326 | 0.4774 | 0.6910 |
| No log | 5.6889 | 256 | 0.4491 | 0.2326 | 0.4491 | 0.6702 |
| No log | 5.7333 | 258 | 0.4336 | 0.2326 | 0.4336 | 0.6585 |
| No log | 5.7778 | 260 | 0.4449 | 0.2326 | 0.4449 | 0.6670 |
| No log | 5.8222 | 262 | 0.4326 | 0.2326 | 0.4326 | 0.6578 |
| No log | 5.8667 | 264 | 0.4475 | 0.2326 | 0.4475 | 0.6690 |
| No log | 5.9111 | 266 | 0.3961 | 0.2326 | 0.3961 | 0.6294 |
| No log | 5.9556 | 268 | 0.3945 | 0.2326 | 0.3945 | 0.6281 |
| No log | 6.0 | 270 | 0.4121 | 0.2326 | 0.4121 | 0.6420 |
| No log | 6.0444 | 272 | 0.3940 | 0.2326 | 0.3940 | 0.6277 |
| No log | 6.0889 | 274 | 0.4200 | 0.6071 | 0.4200 | 0.6481 |
| No log | 6.1333 | 276 | 0.4324 | 0.6071 | 0.4324 | 0.6576 |
| No log | 6.1778 | 278 | 0.4030 | 0.2326 | 0.4030 | 0.6348 |
| No log | 6.2222 | 280 | 0.4469 | 0.1895 | 0.4469 | 0.6685 |
| No log | 6.2667 | 282 | 0.5326 | 0.1895 | 0.5326 | 0.7298 |
| No log | 6.3111 | 284 | 0.5366 | 0.1895 | 0.5366 | 0.7325 |
| No log | 6.3556 | 286 | 0.4220 | 0.2326 | 0.4220 | 0.6496 |
| No log | 6.4 | 288 | 0.4179 | 0.2326 | 0.4179 | 0.6465 |
| No log | 6.4444 | 290 | 0.4462 | 0.2326 | 0.4462 | 0.6679 |
| No log | 6.4889 | 292 | 0.5280 | 0.1895 | 0.5280 | 0.7266 |
| No log | 6.5333 | 294 | 0.7356 | 0.1239 | 0.7356 | 0.8577 |
| No log | 6.5778 | 296 | 0.7564 | 0.1239 | 0.7564 | 0.8697 |
| No log | 6.6222 | 298 | 0.6057 | 0.1538 | 0.6057 | 0.7783 |
| No log | 6.6667 | 300 | 0.4498 | 0.2326 | 0.4498 | 0.6707 |
| No log | 6.7111 | 302 | 0.5187 | 0.4107 | 0.5187 | 0.7202 |
| No log | 6.7556 | 304 | 0.5946 | 0.4031 | 0.5946 | 0.7711 |
| No log | 6.8 | 306 | 0.5486 | 0.56 | 0.5486 | 0.7406 |
| No log | 6.8444 | 308 | 0.5045 | 0.2326 | 0.5045 | 0.7103 |
| No log | 6.8889 | 310 | 1.1266 | 0.0654 | 1.1266 | 1.0614 |
| No log | 6.9333 | 312 | 1.6800 | 0.0086 | 1.6800 | 1.2962 |
| No log | 6.9778 | 314 | 1.6217 | 0.0086 | 1.6217 | 1.2734 |
| No log | 7.0222 | 316 | 1.0992 | 0.0654 | 1.0992 | 1.0484 |
| No log | 7.0667 | 318 | 0.5671 | 0.1895 | 0.5671 | 0.7531 |
| No log | 7.1111 | 320 | 0.4779 | 0.2326 | 0.4779 | 0.6913 |
| No log | 7.1556 | 322 | 0.4774 | 0.2326 | 0.4774 | 0.6909 |
| No log | 7.2 | 324 | 0.4809 | 0.2326 | 0.4809 | 0.6934 |
| No log | 7.2444 | 326 | 0.5332 | 0.1895 | 0.5332 | 0.7302 |
| No log | 7.2889 | 328 | 0.5915 | 0.1895 | 0.5915 | 0.7691 |
| No log | 7.3333 | 330 | 0.5345 | 0.1895 | 0.5345 | 0.7311 |
| No log | 7.3778 | 332 | 0.4808 | 0.2326 | 0.4808 | 0.6934 |
| No log | 7.4222 | 334 | 0.4642 | 0.4444 | 0.4642 | 0.6813 |
| No log | 7.4667 | 336 | 0.4611 | 0.2326 | 0.4611 | 0.6791 |
| No log | 7.5111 | 338 | 0.4649 | 0.2326 | 0.4649 | 0.6819 |
| No log | 7.5556 | 340 | 0.4835 | 0.2326 | 0.4835 | 0.6954 |
| No log | 7.6 | 342 | 0.4830 | 0.2326 | 0.4830 | 0.6950 |
| No log | 7.6444 | 344 | 0.4858 | 0.1895 | 0.4858 | 0.6970 |
| No log | 7.6889 | 346 | 0.4846 | 0.1895 | 0.4846 | 0.6961 |
| No log | 7.7333 | 348 | 0.4655 | 0.1895 | 0.4655 | 0.6823 |
| No log | 7.7778 | 350 | 0.4594 | 0.1895 | 0.4594 | 0.6778 |
| No log | 7.8222 | 352 | 0.4477 | 0.4444 | 0.4477 | 0.6691 |
| No log | 7.8667 | 354 | 0.4642 | 0.4444 | 0.4642 | 0.6813 |
| No log | 7.9111 | 356 | 0.4699 | 0.4444 | 0.4699 | 0.6855 |
| No log | 7.9556 | 358 | 0.4516 | 0.4444 | 0.4516 | 0.6720 |
| No log | 8.0 | 360 | 0.4655 | 0.1895 | 0.4655 | 0.6822 |
| No log | 8.0444 | 362 | 0.5125 | 0.1895 | 0.5125 | 0.7159 |
| No log | 8.0889 | 364 | 0.5094 | 0.1895 | 0.5094 | 0.7137 |
| No log | 8.1333 | 366 | 0.4799 | 0.1895 | 0.4799 | 0.6927 |
| No log | 8.1778 | 368 | 0.4477 | 0.2326 | 0.4477 | 0.6691 |
| No log | 8.2222 | 370 | 0.4453 | 0.4444 | 0.4453 | 0.6673 |
| No log | 8.2667 | 372 | 0.4484 | 0.4444 | 0.4484 | 0.6697 |
| No log | 8.3111 | 374 | 0.4452 | 0.4444 | 0.4452 | 0.6672 |
| No log | 8.3556 | 376 | 0.4486 | 0.2326 | 0.4486 | 0.6698 |
| No log | 8.4 | 378 | 0.4676 | 0.1895 | 0.4676 | 0.6838 |
| No log | 8.4444 | 380 | 0.4863 | 0.1895 | 0.4863 | 0.6973 |
| No log | 8.4889 | 382 | 0.4871 | 0.1895 | 0.4871 | 0.6979 |
| No log | 8.5333 | 384 | 0.4781 | 0.1895 | 0.4781 | 0.6914 |
| No log | 8.5778 | 386 | 0.4651 | 0.1895 | 0.4651 | 0.6819 |
| No log | 8.6222 | 388 | 0.4560 | 0.1895 | 0.4560 | 0.6752 |
| No log | 8.6667 | 390 | 0.4420 | 0.2326 | 0.4420 | 0.6648 |
| No log | 8.7111 | 392 | 0.4281 | 0.4444 | 0.4281 | 0.6543 |
| No log | 8.7556 | 394 | 0.4239 | 0.4444 | 0.4239 | 0.6511 |
| No log | 8.8 | 396 | 0.4223 | 0.4444 | 0.4223 | 0.6498 |
| No log | 8.8444 | 398 | 0.4217 | 0.4444 | 0.4217 | 0.6494 |
| No log | 8.8889 | 400 | 0.4202 | 0.4444 | 0.4202 | 0.6482 |
| No log | 8.9333 | 402 | 0.4238 | 0.2326 | 0.4238 | 0.6510 |
| No log | 8.9778 | 404 | 0.4361 | 0.2326 | 0.4361 | 0.6604 |
| No log | 9.0222 | 406 | 0.4359 | 0.2326 | 0.4359 | 0.6602 |
| No log | 9.0667 | 408 | 0.4221 | 0.2326 | 0.4221 | 0.6497 |
| No log | 9.1111 | 410 | 0.4134 | 0.4444 | 0.4134 | 0.6430 |
| No log | 9.1556 | 412 | 0.4117 | 0.4444 | 0.4117 | 0.6417 |
| No log | 9.2 | 414 | 0.4122 | 0.4444 | 0.4122 | 0.6421 |
| No log | 9.2444 | 416 | 0.4119 | 0.4444 | 0.4119 | 0.6418 |
| No log | 9.2889 | 418 | 0.4113 | 0.4444 | 0.4113 | 0.6413 |
| No log | 9.3333 | 420 | 0.4129 | 0.4444 | 0.4129 | 0.6426 |
| No log | 9.3778 | 422 | 0.4189 | 0.2326 | 0.4189 | 0.6472 |
| No log | 9.4222 | 424 | 0.4266 | 0.2326 | 0.4266 | 0.6532 |
| No log | 9.4667 | 426 | 0.4348 | 0.2326 | 0.4348 | 0.6594 |
| No log | 9.5111 | 428 | 0.4345 | 0.2326 | 0.4345 | 0.6592 |
| No log | 9.5556 | 430 | 0.4289 | 0.2326 | 0.4289 | 0.6549 |
| No log | 9.6 | 432 | 0.4208 | 0.2326 | 0.4208 | 0.6487 |
| No log | 9.6444 | 434 | 0.4178 | 0.2326 | 0.4178 | 0.6464 |
| No log | 9.6889 | 436 | 0.4169 | 0.4444 | 0.4169 | 0.6457 |
| No log | 9.7333 | 438 | 0.4175 | 0.4444 | 0.4175 | 0.6461 |
| No log | 9.7778 | 440 | 0.4186 | 0.4444 | 0.4186 | 0.6470 |
| No log | 9.8222 | 442 | 0.4194 | 0.4444 | 0.4194 | 0.6476 |
| No log | 9.8667 | 444 | 0.4200 | 0.4444 | 0.4200 | 0.6481 |
| No log | 9.9111 | 446 | 0.4203 | 0.4444 | 0.4203 | 0.6483 |
| No log | 9.9556 | 448 | 0.4206 | 0.4444 | 0.4206 | 0.6486 |
| No log | 10.0 | 450 | 0.4207 | 0.4444 | 0.4207 | 0.6486 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 11
Model tree for MayBashendy/Arabic_FineTuningAraBERT_AugV5_k10_task3_organization_fold1
Base model
aubmindlab/bert-base-arabertv02