Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_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: 0.6803
- Qwk: 0.6484
- Mse: 0.6803
- Rmse: 0.8248
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 | 0.0385 | 2 | 5.2185 | -0.0232 | 5.2185 | 2.2844 |
| No log | 0.0769 | 4 | 3.3713 | 0.0490 | 3.3713 | 1.8361 |
| No log | 0.1154 | 6 | 2.2739 | -0.0074 | 2.2739 | 1.5079 |
| No log | 0.1538 | 8 | 2.4338 | -0.1735 | 2.4338 | 1.5601 |
| No log | 0.1923 | 10 | 1.8636 | 0.0128 | 1.8636 | 1.3651 |
| No log | 0.2308 | 12 | 1.3865 | 0.1355 | 1.3865 | 1.1775 |
| No log | 0.2692 | 14 | 1.3194 | 0.1606 | 1.3194 | 1.1487 |
| No log | 0.3077 | 16 | 1.4065 | 0.0218 | 1.4065 | 1.1860 |
| No log | 0.3462 | 18 | 1.3590 | 0.0692 | 1.3590 | 1.1658 |
| No log | 0.3846 | 20 | 1.3187 | 0.1822 | 1.3187 | 1.1483 |
| No log | 0.4231 | 22 | 1.2967 | 0.2659 | 1.2967 | 1.1387 |
| No log | 0.4615 | 24 | 1.2147 | 0.2664 | 1.2147 | 1.1021 |
| No log | 0.5 | 26 | 1.1579 | 0.2548 | 1.1579 | 1.0760 |
| No log | 0.5385 | 28 | 1.1277 | 0.2266 | 1.1277 | 1.0619 |
| No log | 0.5769 | 30 | 1.1069 | 0.2131 | 1.1069 | 1.0521 |
| No log | 0.6154 | 32 | 1.0860 | 0.1991 | 1.0860 | 1.0421 |
| No log | 0.6538 | 34 | 1.0494 | 0.2905 | 1.0494 | 1.0244 |
| No log | 0.6923 | 36 | 1.4130 | 0.2188 | 1.4130 | 1.1887 |
| No log | 0.7308 | 38 | 1.6174 | 0.1451 | 1.6174 | 1.2718 |
| No log | 0.7692 | 40 | 1.9059 | 0.1511 | 1.9059 | 1.3806 |
| No log | 0.8077 | 42 | 1.9929 | 0.1522 | 1.9929 | 1.4117 |
| No log | 0.8462 | 44 | 1.7692 | 0.1418 | 1.7692 | 1.3301 |
| No log | 0.8846 | 46 | 1.3786 | 0.2202 | 1.3786 | 1.1741 |
| No log | 0.9231 | 48 | 1.0805 | 0.3162 | 1.0805 | 1.0395 |
| No log | 0.9615 | 50 | 1.0555 | 0.2943 | 1.0555 | 1.0274 |
| No log | 1.0 | 52 | 1.1510 | 0.2564 | 1.1510 | 1.0728 |
| No log | 1.0385 | 54 | 1.2149 | 0.2650 | 1.2149 | 1.1022 |
| No log | 1.0769 | 56 | 1.0758 | 0.3504 | 1.0758 | 1.0372 |
| No log | 1.1154 | 58 | 0.9853 | 0.3513 | 0.9853 | 0.9926 |
| No log | 1.1538 | 60 | 1.3621 | 0.2274 | 1.3621 | 1.1671 |
| No log | 1.1923 | 62 | 1.7072 | 0.1856 | 1.7072 | 1.3066 |
| No log | 1.2308 | 64 | 1.5981 | 0.1449 | 1.5981 | 1.2642 |
| No log | 1.2692 | 66 | 1.1660 | 0.3532 | 1.1660 | 1.0798 |
| No log | 1.3077 | 68 | 0.9876 | 0.4650 | 0.9876 | 0.9938 |
| No log | 1.3462 | 70 | 0.9005 | 0.4291 | 0.9005 | 0.9490 |
| No log | 1.3846 | 72 | 0.8230 | 0.4303 | 0.8230 | 0.9072 |
| No log | 1.4231 | 74 | 0.8145 | 0.5196 | 0.8145 | 0.9025 |
| No log | 1.4615 | 76 | 0.7826 | 0.5794 | 0.7826 | 0.8846 |
| No log | 1.5 | 78 | 0.7838 | 0.5879 | 0.7838 | 0.8853 |
| No log | 1.5385 | 80 | 1.1454 | 0.4739 | 1.1454 | 1.0703 |
| No log | 1.5769 | 82 | 1.8943 | 0.3264 | 1.8943 | 1.3763 |
| No log | 1.6154 | 84 | 2.0661 | 0.2794 | 2.0661 | 1.4374 |
| No log | 1.6538 | 86 | 1.5226 | 0.4221 | 1.5226 | 1.2339 |
| No log | 1.6923 | 88 | 0.7665 | 0.5898 | 0.7665 | 0.8755 |
| No log | 1.7308 | 90 | 0.6617 | 0.6499 | 0.6617 | 0.8134 |
| No log | 1.7692 | 92 | 0.7839 | 0.5621 | 0.7839 | 0.8854 |
| No log | 1.8077 | 94 | 0.8003 | 0.5529 | 0.8003 | 0.8946 |
| No log | 1.8462 | 96 | 0.7757 | 0.5862 | 0.7757 | 0.8808 |
| No log | 1.8846 | 98 | 0.7522 | 0.6028 | 0.7522 | 0.8673 |
| No log | 1.9231 | 100 | 0.6784 | 0.6334 | 0.6784 | 0.8237 |
| No log | 1.9615 | 102 | 0.6937 | 0.6310 | 0.6937 | 0.8329 |
| No log | 2.0 | 104 | 0.6972 | 0.6329 | 0.6972 | 0.8350 |
| No log | 2.0385 | 106 | 0.7079 | 0.6245 | 0.7079 | 0.8414 |
| No log | 2.0769 | 108 | 0.7249 | 0.6051 | 0.7249 | 0.8514 |
| No log | 2.1154 | 110 | 0.6905 | 0.6399 | 0.6905 | 0.8309 |
| No log | 2.1538 | 112 | 0.7087 | 0.5954 | 0.7087 | 0.8418 |
| No log | 2.1923 | 114 | 0.8700 | 0.5518 | 0.8700 | 0.9328 |
| No log | 2.2308 | 116 | 0.7839 | 0.6062 | 0.7839 | 0.8854 |
| No log | 2.2692 | 118 | 0.6806 | 0.6564 | 0.6806 | 0.8250 |
| No log | 2.3077 | 120 | 1.0544 | 0.5425 | 1.0544 | 1.0269 |
| No log | 2.3462 | 122 | 1.3553 | 0.3911 | 1.3553 | 1.1642 |
| No log | 2.3846 | 124 | 1.1201 | 0.5385 | 1.1201 | 1.0584 |
| No log | 2.4231 | 126 | 0.7187 | 0.6693 | 0.7187 | 0.8478 |
| No log | 2.4615 | 128 | 0.6919 | 0.6601 | 0.6919 | 0.8318 |
| No log | 2.5 | 130 | 0.8890 | 0.5620 | 0.8890 | 0.9429 |
| No log | 2.5385 | 132 | 0.7879 | 0.5893 | 0.7879 | 0.8876 |
| No log | 2.5769 | 134 | 0.6691 | 0.6171 | 0.6691 | 0.8180 |
| No log | 2.6154 | 136 | 0.7021 | 0.6685 | 0.7021 | 0.8379 |
| No log | 2.6538 | 138 | 0.6718 | 0.6749 | 0.6718 | 0.8196 |
| No log | 2.6923 | 140 | 0.6715 | 0.6391 | 0.6715 | 0.8194 |
| No log | 2.7308 | 142 | 0.6678 | 0.6380 | 0.6678 | 0.8172 |
| No log | 2.7692 | 144 | 0.6764 | 0.6915 | 0.6764 | 0.8225 |
| No log | 2.8077 | 146 | 0.7131 | 0.6974 | 0.7131 | 0.8445 |
| No log | 2.8462 | 148 | 0.6613 | 0.7024 | 0.6613 | 0.8132 |
| No log | 2.8846 | 150 | 0.6515 | 0.6963 | 0.6515 | 0.8072 |
| No log | 2.9231 | 152 | 0.7115 | 0.6506 | 0.7115 | 0.8435 |
| No log | 2.9615 | 154 | 0.7530 | 0.6486 | 0.7530 | 0.8678 |
| No log | 3.0 | 156 | 0.6663 | 0.6787 | 0.6663 | 0.8163 |
| No log | 3.0385 | 158 | 0.6327 | 0.6887 | 0.6327 | 0.7955 |
| No log | 3.0769 | 160 | 0.6298 | 0.6974 | 0.6298 | 0.7936 |
| No log | 3.1154 | 162 | 0.6290 | 0.6883 | 0.6290 | 0.7931 |
| No log | 3.1538 | 164 | 0.6531 | 0.6533 | 0.6531 | 0.8081 |
| No log | 3.1923 | 166 | 0.7061 | 0.5947 | 0.7061 | 0.8403 |
| No log | 3.2308 | 168 | 0.7030 | 0.5842 | 0.7030 | 0.8385 |
| No log | 3.2692 | 170 | 0.7274 | 0.6048 | 0.7274 | 0.8529 |
| No log | 3.3077 | 172 | 0.7153 | 0.6069 | 0.7153 | 0.8457 |
| No log | 3.3462 | 174 | 0.7011 | 0.6540 | 0.7011 | 0.8373 |
| No log | 3.3846 | 176 | 0.8383 | 0.6075 | 0.8383 | 0.9156 |
| No log | 3.4231 | 178 | 1.0063 | 0.5403 | 1.0063 | 1.0031 |
| No log | 3.4615 | 180 | 0.9104 | 0.5925 | 0.9104 | 0.9542 |
| No log | 3.5 | 182 | 0.8131 | 0.6526 | 0.8131 | 0.9017 |
| No log | 3.5385 | 184 | 0.7904 | 0.6702 | 0.7904 | 0.8890 |
| No log | 3.5769 | 186 | 0.7638 | 0.7031 | 0.7638 | 0.8740 |
| No log | 3.6154 | 188 | 0.7099 | 0.7043 | 0.7099 | 0.8425 |
| No log | 3.6538 | 190 | 0.6941 | 0.6559 | 0.6941 | 0.8331 |
| No log | 3.6923 | 192 | 0.7956 | 0.6166 | 0.7956 | 0.8920 |
| No log | 3.7308 | 194 | 0.8831 | 0.5756 | 0.8831 | 0.9397 |
| No log | 3.7692 | 196 | 0.7964 | 0.6177 | 0.7964 | 0.8924 |
| No log | 3.8077 | 198 | 0.6982 | 0.6950 | 0.6982 | 0.8356 |
| No log | 3.8462 | 200 | 0.6915 | 0.6950 | 0.6915 | 0.8316 |
| No log | 3.8846 | 202 | 0.7556 | 0.6606 | 0.7556 | 0.8692 |
| No log | 3.9231 | 204 | 0.9459 | 0.6180 | 0.9459 | 0.9726 |
| No log | 3.9615 | 206 | 0.9460 | 0.6236 | 0.9460 | 0.9726 |
| No log | 4.0 | 208 | 0.7842 | 0.6524 | 0.7842 | 0.8856 |
| No log | 4.0385 | 210 | 0.6671 | 0.6963 | 0.6671 | 0.8168 |
| No log | 4.0769 | 212 | 0.7191 | 0.6753 | 0.7191 | 0.8480 |
| No log | 4.1154 | 214 | 0.6853 | 0.6328 | 0.6853 | 0.8278 |
| No log | 4.1538 | 216 | 0.6952 | 0.6455 | 0.6952 | 0.8338 |
| No log | 4.1923 | 218 | 0.8378 | 0.6027 | 0.8378 | 0.9153 |
| No log | 4.2308 | 220 | 0.7900 | 0.6078 | 0.7900 | 0.8888 |
| No log | 4.2692 | 222 | 0.7091 | 0.6558 | 0.7091 | 0.8421 |
| No log | 4.3077 | 224 | 0.6560 | 0.6987 | 0.6560 | 0.8099 |
| No log | 4.3462 | 226 | 0.6459 | 0.6810 | 0.6459 | 0.8037 |
| No log | 4.3846 | 228 | 0.6704 | 0.6986 | 0.6704 | 0.8188 |
| No log | 4.4231 | 230 | 0.6743 | 0.6833 | 0.6743 | 0.8212 |
| No log | 4.4615 | 232 | 0.7029 | 0.7083 | 0.7029 | 0.8384 |
| No log | 4.5 | 234 | 0.8426 | 0.6493 | 0.8426 | 0.9179 |
| No log | 4.5385 | 236 | 0.8214 | 0.6579 | 0.8214 | 0.9063 |
| No log | 4.5769 | 238 | 0.7256 | 0.6969 | 0.7256 | 0.8518 |
| No log | 4.6154 | 240 | 0.7209 | 0.6649 | 0.7209 | 0.8491 |
| No log | 4.6538 | 242 | 0.7426 | 0.7039 | 0.7426 | 0.8618 |
| No log | 4.6923 | 244 | 0.8263 | 0.6407 | 0.8263 | 0.9090 |
| No log | 4.7308 | 246 | 0.8042 | 0.6352 | 0.8042 | 0.8967 |
| No log | 4.7692 | 248 | 0.7403 | 0.6769 | 0.7403 | 0.8604 |
| No log | 4.8077 | 250 | 0.6917 | 0.6650 | 0.6917 | 0.8317 |
| No log | 4.8462 | 252 | 0.6896 | 0.6485 | 0.6896 | 0.8304 |
| No log | 4.8846 | 254 | 0.6910 | 0.6317 | 0.6910 | 0.8313 |
| No log | 4.9231 | 256 | 0.6798 | 0.6508 | 0.6798 | 0.8245 |
| No log | 4.9615 | 258 | 0.6719 | 0.6443 | 0.6719 | 0.8197 |
| No log | 5.0 | 260 | 0.6826 | 0.6908 | 0.6826 | 0.8262 |
| No log | 5.0385 | 262 | 0.6795 | 0.7092 | 0.6795 | 0.8243 |
| No log | 5.0769 | 264 | 0.7182 | 0.6922 | 0.7182 | 0.8475 |
| No log | 5.1154 | 266 | 0.7704 | 0.6758 | 0.7704 | 0.8777 |
| No log | 5.1538 | 268 | 0.8703 | 0.6516 | 0.8703 | 0.9329 |
| No log | 5.1923 | 270 | 0.8068 | 0.6497 | 0.8068 | 0.8982 |
| No log | 5.2308 | 272 | 0.7310 | 0.6519 | 0.7310 | 0.8550 |
| No log | 5.2692 | 274 | 0.6940 | 0.6802 | 0.6940 | 0.8331 |
| No log | 5.3077 | 276 | 0.6823 | 0.6878 | 0.6823 | 0.8260 |
| No log | 5.3462 | 278 | 0.7083 | 0.6811 | 0.7083 | 0.8416 |
| No log | 5.3846 | 280 | 0.7872 | 0.6951 | 0.7872 | 0.8873 |
| No log | 5.4231 | 282 | 0.7521 | 0.7254 | 0.7521 | 0.8672 |
| No log | 5.4615 | 284 | 0.7706 | 0.7313 | 0.7706 | 0.8778 |
| No log | 5.5 | 286 | 0.8147 | 0.7269 | 0.8147 | 0.9026 |
| No log | 5.5385 | 288 | 0.7603 | 0.7269 | 0.7603 | 0.8719 |
| No log | 5.5769 | 290 | 0.7863 | 0.6824 | 0.7863 | 0.8867 |
| No log | 5.6154 | 292 | 0.9392 | 0.5693 | 0.9392 | 0.9691 |
| No log | 5.6538 | 294 | 1.0713 | 0.4985 | 1.0713 | 1.0350 |
| No log | 5.6923 | 296 | 1.0273 | 0.5073 | 1.0273 | 1.0136 |
| No log | 5.7308 | 298 | 0.7949 | 0.6117 | 0.7949 | 0.8916 |
| No log | 5.7692 | 300 | 0.6936 | 0.6642 | 0.6936 | 0.8328 |
| No log | 5.8077 | 302 | 0.6711 | 0.6886 | 0.6711 | 0.8192 |
| No log | 5.8462 | 304 | 0.7354 | 0.6976 | 0.7354 | 0.8575 |
| No log | 5.8846 | 306 | 0.9082 | 0.6027 | 0.9082 | 0.9530 |
| No log | 5.9231 | 308 | 0.8873 | 0.6173 | 0.8873 | 0.9420 |
| No log | 5.9615 | 310 | 0.8258 | 0.6389 | 0.8258 | 0.9087 |
| No log | 6.0 | 312 | 0.7707 | 0.6912 | 0.7707 | 0.8779 |
| No log | 6.0385 | 314 | 0.7428 | 0.7006 | 0.7428 | 0.8618 |
| No log | 6.0769 | 316 | 0.7204 | 0.7028 | 0.7204 | 0.8488 |
| No log | 6.1154 | 318 | 0.7472 | 0.7025 | 0.7472 | 0.8644 |
| No log | 6.1538 | 320 | 0.8197 | 0.6309 | 0.8197 | 0.9054 |
| No log | 6.1923 | 322 | 0.7176 | 0.7069 | 0.7176 | 0.8471 |
| No log | 6.2308 | 324 | 0.6413 | 0.7071 | 0.6413 | 0.8008 |
| No log | 6.2692 | 326 | 0.6515 | 0.6915 | 0.6515 | 0.8071 |
| No log | 6.3077 | 328 | 0.6484 | 0.7180 | 0.6484 | 0.8052 |
| No log | 6.3462 | 330 | 0.7360 | 0.6892 | 0.7360 | 0.8579 |
| No log | 6.3846 | 332 | 0.7944 | 0.6648 | 0.7944 | 0.8913 |
| No log | 6.4231 | 334 | 0.7525 | 0.6813 | 0.7525 | 0.8675 |
| No log | 6.4615 | 336 | 0.6752 | 0.7054 | 0.6752 | 0.8217 |
| No log | 6.5 | 338 | 0.6638 | 0.7006 | 0.6638 | 0.8147 |
| No log | 6.5385 | 340 | 0.6278 | 0.6963 | 0.6278 | 0.7924 |
| No log | 6.5769 | 342 | 0.6303 | 0.7045 | 0.6303 | 0.7939 |
| No log | 6.6154 | 344 | 0.6635 | 0.6633 | 0.6635 | 0.8145 |
| No log | 6.6538 | 346 | 0.8778 | 0.5989 | 0.8778 | 0.9369 |
| No log | 6.6923 | 348 | 0.9861 | 0.5381 | 0.9861 | 0.9930 |
| No log | 6.7308 | 350 | 0.8924 | 0.5745 | 0.8924 | 0.9447 |
| No log | 6.7692 | 352 | 0.7729 | 0.5887 | 0.7729 | 0.8791 |
| No log | 6.8077 | 354 | 0.7065 | 0.5986 | 0.7065 | 0.8405 |
| No log | 6.8462 | 356 | 0.6937 | 0.6148 | 0.6937 | 0.8329 |
| No log | 6.8846 | 358 | 0.7580 | 0.6418 | 0.7580 | 0.8707 |
| No log | 6.9231 | 360 | 0.9020 | 0.6043 | 0.9020 | 0.9497 |
| No log | 6.9615 | 362 | 0.8225 | 0.6016 | 0.8225 | 0.9069 |
| No log | 7.0 | 364 | 0.7200 | 0.6571 | 0.7200 | 0.8485 |
| No log | 7.0385 | 366 | 0.6849 | 0.6498 | 0.6849 | 0.8276 |
| No log | 7.0769 | 368 | 0.6821 | 0.6217 | 0.6821 | 0.8259 |
| No log | 7.1154 | 370 | 0.6654 | 0.6408 | 0.6654 | 0.8157 |
| No log | 7.1538 | 372 | 0.6727 | 0.6377 | 0.6727 | 0.8202 |
| No log | 7.1923 | 374 | 0.7415 | 0.6407 | 0.7415 | 0.8611 |
| No log | 7.2308 | 376 | 0.7251 | 0.6615 | 0.7251 | 0.8515 |
| No log | 7.2692 | 378 | 0.6761 | 0.6877 | 0.6761 | 0.8223 |
| No log | 7.3077 | 380 | 0.6614 | 0.6987 | 0.6614 | 0.8133 |
| No log | 7.3462 | 382 | 0.6692 | 0.7048 | 0.6692 | 0.8180 |
| No log | 7.3846 | 384 | 0.6893 | 0.7006 | 0.6893 | 0.8302 |
| No log | 7.4231 | 386 | 0.7601 | 0.6745 | 0.7601 | 0.8718 |
| No log | 7.4615 | 388 | 0.8984 | 0.6423 | 0.8984 | 0.9478 |
| No log | 7.5 | 390 | 1.0468 | 0.6193 | 1.0468 | 1.0231 |
| No log | 7.5385 | 392 | 0.9869 | 0.5953 | 0.9869 | 0.9934 |
| No log | 7.5769 | 394 | 0.9023 | 0.5849 | 0.9023 | 0.9499 |
| No log | 7.6154 | 396 | 0.7508 | 0.6743 | 0.7508 | 0.8665 |
| No log | 7.6538 | 398 | 0.7105 | 0.6951 | 0.7105 | 0.8429 |
| No log | 7.6923 | 400 | 0.7226 | 0.6722 | 0.7226 | 0.8501 |
| No log | 7.7308 | 402 | 0.7973 | 0.6574 | 0.7973 | 0.8929 |
| No log | 7.7692 | 404 | 0.7650 | 0.6674 | 0.7650 | 0.8746 |
| No log | 7.8077 | 406 | 0.6877 | 0.7079 | 0.6877 | 0.8293 |
| No log | 7.8462 | 408 | 0.6754 | 0.6991 | 0.6754 | 0.8218 |
| No log | 7.8846 | 410 | 0.6832 | 0.6902 | 0.6832 | 0.8266 |
| No log | 7.9231 | 412 | 0.6647 | 0.7027 | 0.6647 | 0.8153 |
| No log | 7.9615 | 414 | 0.6928 | 0.6943 | 0.6928 | 0.8323 |
| No log | 8.0 | 416 | 0.6830 | 0.6796 | 0.6830 | 0.8264 |
| No log | 8.0385 | 418 | 0.6709 | 0.6621 | 0.6709 | 0.8191 |
| No log | 8.0769 | 420 | 0.7121 | 0.6806 | 0.7121 | 0.8438 |
| No log | 8.1154 | 422 | 0.7048 | 0.6876 | 0.7048 | 0.8395 |
| No log | 8.1538 | 424 | 0.6649 | 0.6740 | 0.6649 | 0.8154 |
| No log | 8.1923 | 426 | 0.7287 | 0.6926 | 0.7287 | 0.8536 |
| No log | 8.2308 | 428 | 0.8907 | 0.6015 | 0.8907 | 0.9437 |
| No log | 8.2692 | 430 | 0.9618 | 0.5887 | 0.9618 | 0.9807 |
| No log | 8.3077 | 432 | 0.8976 | 0.5819 | 0.8976 | 0.9474 |
| No log | 8.3462 | 434 | 0.7858 | 0.6125 | 0.7858 | 0.8865 |
| No log | 8.3846 | 436 | 0.7252 | 0.5561 | 0.7252 | 0.8516 |
| No log | 8.4231 | 438 | 0.7215 | 0.5092 | 0.7215 | 0.8494 |
| No log | 8.4615 | 440 | 0.6948 | 0.5929 | 0.6948 | 0.8336 |
| No log | 8.5 | 442 | 0.6967 | 0.6223 | 0.6967 | 0.8347 |
| No log | 8.5385 | 444 | 0.7112 | 0.6439 | 0.7112 | 0.8433 |
| No log | 8.5769 | 446 | 0.6776 | 0.6663 | 0.6776 | 0.8232 |
| No log | 8.6154 | 448 | 0.6554 | 0.6549 | 0.6554 | 0.8096 |
| No log | 8.6538 | 450 | 0.6486 | 0.6651 | 0.6486 | 0.8054 |
| No log | 8.6923 | 452 | 0.6682 | 0.6703 | 0.6682 | 0.8174 |
| No log | 8.7308 | 454 | 0.7256 | 0.6614 | 0.7256 | 0.8518 |
| No log | 8.7692 | 456 | 0.6935 | 0.6675 | 0.6935 | 0.8328 |
| No log | 8.8077 | 458 | 0.6911 | 0.6653 | 0.6911 | 0.8313 |
| No log | 8.8462 | 460 | 0.7246 | 0.6645 | 0.7246 | 0.8512 |
| No log | 8.8846 | 462 | 0.7085 | 0.6852 | 0.7085 | 0.8417 |
| No log | 8.9231 | 464 | 0.6751 | 0.6791 | 0.6751 | 0.8216 |
| No log | 8.9615 | 466 | 0.6750 | 0.6692 | 0.6750 | 0.8216 |
| No log | 9.0 | 468 | 0.7148 | 0.6929 | 0.7148 | 0.8455 |
| No log | 9.0385 | 470 | 0.7871 | 0.6657 | 0.7871 | 0.8872 |
| No log | 9.0769 | 472 | 0.8266 | 0.6575 | 0.8266 | 0.9092 |
| No log | 9.1154 | 474 | 0.8416 | 0.6477 | 0.8416 | 0.9174 |
| No log | 9.1538 | 476 | 0.7605 | 0.6350 | 0.7605 | 0.8721 |
| No log | 9.1923 | 478 | 0.7116 | 0.6795 | 0.7116 | 0.8435 |
| No log | 9.2308 | 480 | 0.7247 | 0.6905 | 0.7247 | 0.8513 |
| No log | 9.2692 | 482 | 0.8129 | 0.6174 | 0.8129 | 0.9016 |
| No log | 9.3077 | 484 | 0.9033 | 0.6146 | 0.9033 | 0.9504 |
| No log | 9.3462 | 486 | 0.9290 | 0.6136 | 0.9290 | 0.9638 |
| No log | 9.3846 | 488 | 0.8260 | 0.6239 | 0.8260 | 0.9088 |
| No log | 9.4231 | 490 | 0.6955 | 0.6589 | 0.6955 | 0.8339 |
| No log | 9.4615 | 492 | 0.6686 | 0.6417 | 0.6686 | 0.8177 |
| No log | 9.5 | 494 | 0.6628 | 0.6504 | 0.6628 | 0.8141 |
| No log | 9.5385 | 496 | 0.6561 | 0.6599 | 0.6561 | 0.8100 |
| No log | 9.5769 | 498 | 0.6924 | 0.6802 | 0.6924 | 0.8321 |
| 0.4486 | 9.6154 | 500 | 0.7156 | 0.6714 | 0.7156 | 0.8460 |
| 0.4486 | 9.6538 | 502 | 0.6842 | 0.6779 | 0.6842 | 0.8272 |
| 0.4486 | 9.6923 | 504 | 0.6728 | 0.6827 | 0.6728 | 0.8203 |
| 0.4486 | 9.7308 | 506 | 0.7119 | 0.6605 | 0.7119 | 0.8437 |
| 0.4486 | 9.7692 | 508 | 0.7558 | 0.6535 | 0.7558 | 0.8694 |
| 0.4486 | 9.8077 | 510 | 0.7412 | 0.6383 | 0.7412 | 0.8609 |
| 0.4486 | 9.8462 | 512 | 0.6962 | 0.6377 | 0.6962 | 0.8344 |
| 0.4486 | 9.8846 | 514 | 0.6803 | 0.6484 | 0.6803 | 0.8248 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02