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library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_organization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_organization
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6898
- Qwk: 0.6360
- Mse: 0.6898
- Rmse: 0.8306
## 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 | 0.0202 | 2 | 4.0402 | -0.0231 | 4.0402 | 2.0100 |
| No log | 0.0404 | 4 | 3.0226 | 0.0692 | 3.0226 | 1.7386 |
| No log | 0.0606 | 6 | 2.0617 | 0.1058 | 2.0617 | 1.4359 |
| No log | 0.0808 | 8 | 1.1022 | 0.1929 | 1.1022 | 1.0498 |
| No log | 0.1010 | 10 | 1.2230 | 0.0120 | 1.2230 | 1.1059 |
| No log | 0.1212 | 12 | 1.7696 | -0.2639 | 1.7696 | 1.3303 |
| No log | 0.1414 | 14 | 1.9932 | -0.0869 | 1.9932 | 1.4118 |
| No log | 0.1616 | 16 | 1.3918 | -0.0522 | 1.3918 | 1.1797 |
| No log | 0.1818 | 18 | 1.2111 | 0.1616 | 1.2111 | 1.1005 |
| No log | 0.2020 | 20 | 1.2560 | 0.1811 | 1.2560 | 1.1207 |
| No log | 0.2222 | 22 | 1.0318 | 0.2798 | 1.0318 | 1.0158 |
| No log | 0.2424 | 24 | 0.9611 | 0.3560 | 0.9611 | 0.9804 |
| No log | 0.2626 | 26 | 0.9561 | 0.3663 | 0.9561 | 0.9778 |
| No log | 0.2828 | 28 | 0.9200 | 0.4106 | 0.9200 | 0.9592 |
| No log | 0.3030 | 30 | 0.8172 | 0.4470 | 0.8172 | 0.9040 |
| No log | 0.3232 | 32 | 0.7922 | 0.4635 | 0.7922 | 0.8901 |
| No log | 0.3434 | 34 | 0.8234 | 0.4748 | 0.8234 | 0.9074 |
| No log | 0.3636 | 36 | 1.0293 | 0.4391 | 1.0293 | 1.0146 |
| No log | 0.3838 | 38 | 1.1250 | 0.4203 | 1.1250 | 1.0607 |
| No log | 0.4040 | 40 | 1.0591 | 0.3906 | 1.0591 | 1.0291 |
| No log | 0.4242 | 42 | 0.8724 | 0.4459 | 0.8724 | 0.9340 |
| No log | 0.4444 | 44 | 0.7886 | 0.5360 | 0.7886 | 0.8880 |
| No log | 0.4646 | 46 | 0.7855 | 0.5354 | 0.7855 | 0.8863 |
| No log | 0.4848 | 48 | 0.8765 | 0.3957 | 0.8765 | 0.9362 |
| No log | 0.5051 | 50 | 0.8846 | 0.3959 | 0.8846 | 0.9405 |
| No log | 0.5253 | 52 | 0.8334 | 0.4051 | 0.8334 | 0.9129 |
| No log | 0.5455 | 54 | 0.7773 | 0.4799 | 0.7773 | 0.8816 |
| No log | 0.5657 | 56 | 0.8110 | 0.4037 | 0.8110 | 0.9006 |
| No log | 0.5859 | 58 | 0.9395 | 0.3326 | 0.9395 | 0.9693 |
| No log | 0.6061 | 60 | 0.8725 | 0.3700 | 0.8725 | 0.9341 |
| No log | 0.6263 | 62 | 0.7622 | 0.4630 | 0.7622 | 0.8731 |
| No log | 0.6465 | 64 | 0.8046 | 0.4498 | 0.8046 | 0.8970 |
| No log | 0.6667 | 66 | 0.8282 | 0.4592 | 0.8282 | 0.9100 |
| No log | 0.6869 | 68 | 0.8390 | 0.4900 | 0.8390 | 0.9160 |
| No log | 0.7071 | 70 | 0.8249 | 0.5384 | 0.8249 | 0.9083 |
| No log | 0.7273 | 72 | 0.8262 | 0.5376 | 0.8262 | 0.9090 |
| No log | 0.7475 | 74 | 0.7405 | 0.6140 | 0.7405 | 0.8605 |
| No log | 0.7677 | 76 | 0.7168 | 0.6312 | 0.7168 | 0.8466 |
| No log | 0.7879 | 78 | 0.7348 | 0.6098 | 0.7348 | 0.8572 |
| No log | 0.8081 | 80 | 0.8223 | 0.4280 | 0.8223 | 0.9068 |
| No log | 0.8283 | 82 | 0.9091 | 0.3420 | 0.9091 | 0.9535 |
| No log | 0.8485 | 84 | 0.7518 | 0.5131 | 0.7518 | 0.8671 |
| No log | 0.8687 | 86 | 0.6500 | 0.6553 | 0.6500 | 0.8063 |
| No log | 0.8889 | 88 | 0.6924 | 0.6523 | 0.6924 | 0.8321 |
| No log | 0.9091 | 90 | 0.7550 | 0.6176 | 0.7550 | 0.8689 |
| No log | 0.9293 | 92 | 0.7450 | 0.6427 | 0.7450 | 0.8631 |
| No log | 0.9495 | 94 | 0.8777 | 0.5760 | 0.8777 | 0.9368 |
| No log | 0.9697 | 96 | 0.8970 | 0.5686 | 0.8970 | 0.9471 |
| No log | 0.9899 | 98 | 0.8661 | 0.5742 | 0.8661 | 0.9306 |
| No log | 1.0101 | 100 | 0.9210 | 0.5555 | 0.9210 | 0.9597 |
| No log | 1.0303 | 102 | 0.9670 | 0.5429 | 0.9670 | 0.9834 |
| No log | 1.0505 | 104 | 0.9172 | 0.5108 | 0.9172 | 0.9577 |
| No log | 1.0707 | 106 | 0.7694 | 0.6265 | 0.7694 | 0.8772 |
| No log | 1.0909 | 108 | 0.8451 | 0.6268 | 0.8451 | 0.9193 |
| No log | 1.1111 | 110 | 0.8826 | 0.6121 | 0.8826 | 0.9395 |
| No log | 1.1313 | 112 | 0.7331 | 0.6219 | 0.7331 | 0.8562 |
| No log | 1.1515 | 114 | 0.7869 | 0.5242 | 0.7869 | 0.8871 |
| No log | 1.1717 | 116 | 0.9381 | 0.4088 | 0.9381 | 0.9685 |
| No log | 1.1919 | 118 | 0.9755 | 0.3809 | 0.9755 | 0.9877 |
| No log | 1.2121 | 120 | 0.8072 | 0.5411 | 0.8072 | 0.8984 |
| No log | 1.2323 | 122 | 0.6656 | 0.6413 | 0.6656 | 0.8159 |
| No log | 1.2525 | 124 | 0.6862 | 0.6200 | 0.6862 | 0.8284 |
| No log | 1.2727 | 126 | 0.6851 | 0.6346 | 0.6851 | 0.8277 |
| No log | 1.2929 | 128 | 0.6841 | 0.6326 | 0.6841 | 0.8271 |
| No log | 1.3131 | 130 | 0.7088 | 0.6493 | 0.7088 | 0.8419 |
| No log | 1.3333 | 132 | 0.7314 | 0.6406 | 0.7314 | 0.8552 |
| No log | 1.3535 | 134 | 0.8170 | 0.5874 | 0.8170 | 0.9039 |
| No log | 1.3737 | 136 | 0.8770 | 0.5362 | 0.8770 | 0.9365 |
| No log | 1.3939 | 138 | 0.7522 | 0.5747 | 0.7522 | 0.8673 |
| No log | 1.4141 | 140 | 0.6724 | 0.6311 | 0.6724 | 0.8200 |
| No log | 1.4343 | 142 | 0.6795 | 0.6264 | 0.6795 | 0.8243 |
| No log | 1.4545 | 144 | 0.6952 | 0.6221 | 0.6952 | 0.8338 |
| No log | 1.4747 | 146 | 0.7771 | 0.5991 | 0.7771 | 0.8815 |
| No log | 1.4949 | 148 | 0.7796 | 0.6103 | 0.7796 | 0.8829 |
| No log | 1.5152 | 150 | 0.7817 | 0.6020 | 0.7817 | 0.8841 |
| No log | 1.5354 | 152 | 0.8374 | 0.5444 | 0.8374 | 0.9151 |
| No log | 1.5556 | 154 | 0.9028 | 0.4827 | 0.9028 | 0.9501 |
| No log | 1.5758 | 156 | 0.8589 | 0.5388 | 0.8589 | 0.9267 |
| No log | 1.5960 | 158 | 0.8748 | 0.5037 | 0.8748 | 0.9353 |
| No log | 1.6162 | 160 | 0.8409 | 0.5268 | 0.8409 | 0.9170 |
| No log | 1.6364 | 162 | 0.7027 | 0.6199 | 0.7027 | 0.8383 |
| No log | 1.6566 | 164 | 0.6613 | 0.6589 | 0.6613 | 0.8132 |
| No log | 1.6768 | 166 | 0.6752 | 0.6241 | 0.6752 | 0.8217 |
| No log | 1.6970 | 168 | 0.7164 | 0.6456 | 0.7164 | 0.8464 |
| No log | 1.7172 | 170 | 0.8681 | 0.5877 | 0.8681 | 0.9317 |
| No log | 1.7374 | 172 | 0.9006 | 0.5697 | 0.9006 | 0.9490 |
| No log | 1.7576 | 174 | 0.9799 | 0.5615 | 0.9799 | 0.9899 |
| No log | 1.7778 | 176 | 0.9103 | 0.5739 | 0.9103 | 0.9541 |
| No log | 1.7980 | 178 | 0.8368 | 0.5595 | 0.8368 | 0.9148 |
| No log | 1.8182 | 180 | 0.8088 | 0.5648 | 0.8088 | 0.8993 |
| No log | 1.8384 | 182 | 0.7855 | 0.5770 | 0.7855 | 0.8863 |
| No log | 1.8586 | 184 | 0.7957 | 0.5629 | 0.7957 | 0.8920 |
| No log | 1.8788 | 186 | 0.6964 | 0.5870 | 0.6964 | 0.8345 |
| No log | 1.8990 | 188 | 0.6820 | 0.6065 | 0.6820 | 0.8258 |
| No log | 1.9192 | 190 | 0.6886 | 0.6152 | 0.6886 | 0.8298 |
| No log | 1.9394 | 192 | 0.6589 | 0.6170 | 0.6589 | 0.8117 |
| No log | 1.9596 | 194 | 0.6781 | 0.6085 | 0.6781 | 0.8235 |
| No log | 1.9798 | 196 | 0.6997 | 0.5506 | 0.6997 | 0.8365 |
| No log | 2.0 | 198 | 0.7137 | 0.5101 | 0.7137 | 0.8448 |
| No log | 2.0202 | 200 | 0.6937 | 0.5711 | 0.6937 | 0.8329 |
| No log | 2.0404 | 202 | 0.6857 | 0.5738 | 0.6857 | 0.8280 |
| No log | 2.0606 | 204 | 0.6932 | 0.5653 | 0.6932 | 0.8326 |
| No log | 2.0808 | 206 | 0.7837 | 0.5701 | 0.7837 | 0.8853 |
| No log | 2.1010 | 208 | 0.9936 | 0.5183 | 0.9936 | 0.9968 |
| No log | 2.1212 | 210 | 1.1052 | 0.4911 | 1.1052 | 1.0513 |
| No log | 2.1414 | 212 | 1.0218 | 0.5858 | 1.0218 | 1.0108 |
| No log | 2.1616 | 214 | 0.9456 | 0.6383 | 0.9456 | 0.9724 |
| No log | 2.1818 | 216 | 0.8564 | 0.6470 | 0.8564 | 0.9254 |
| No log | 2.2020 | 218 | 0.8028 | 0.5921 | 0.8028 | 0.8960 |
| No log | 2.2222 | 220 | 0.8974 | 0.5218 | 0.8974 | 0.9473 |
| No log | 2.2424 | 222 | 0.9091 | 0.4809 | 0.9091 | 0.9535 |
| No log | 2.2626 | 224 | 0.8667 | 0.4948 | 0.8667 | 0.9310 |
| No log | 2.2828 | 226 | 0.7853 | 0.5218 | 0.7853 | 0.8862 |
| No log | 2.3030 | 228 | 0.7420 | 0.5634 | 0.7420 | 0.8614 |
| No log | 2.3232 | 230 | 0.6370 | 0.6423 | 0.6370 | 0.7981 |
| No log | 2.3434 | 232 | 0.6376 | 0.6678 | 0.6376 | 0.7985 |
| No log | 2.3636 | 234 | 0.6399 | 0.6699 | 0.6399 | 0.8000 |
| No log | 2.3838 | 236 | 0.6259 | 0.6708 | 0.6259 | 0.7911 |
| No log | 2.4040 | 238 | 0.6869 | 0.6344 | 0.6869 | 0.8288 |
| No log | 2.4242 | 240 | 0.7629 | 0.6296 | 0.7629 | 0.8734 |
| No log | 2.4444 | 242 | 0.7509 | 0.6183 | 0.7509 | 0.8665 |
| No log | 2.4646 | 244 | 0.9028 | 0.5789 | 0.9028 | 0.9502 |
| No log | 2.4848 | 246 | 0.9107 | 0.5775 | 0.9107 | 0.9543 |
| No log | 2.5051 | 248 | 0.7457 | 0.6237 | 0.7457 | 0.8635 |
| No log | 2.5253 | 250 | 0.6504 | 0.6310 | 0.6504 | 0.8065 |
| No log | 2.5455 | 252 | 0.6950 | 0.5986 | 0.6950 | 0.8336 |
| No log | 2.5657 | 254 | 0.7660 | 0.5849 | 0.7660 | 0.8752 |
| No log | 2.5859 | 256 | 0.7147 | 0.5932 | 0.7147 | 0.8454 |
| No log | 2.6061 | 258 | 0.6487 | 0.6237 | 0.6487 | 0.8054 |
| No log | 2.6263 | 260 | 0.7919 | 0.5931 | 0.7919 | 0.8899 |
| No log | 2.6465 | 262 | 0.8791 | 0.5729 | 0.8791 | 0.9376 |
| No log | 2.6667 | 264 | 0.7583 | 0.6023 | 0.7583 | 0.8708 |
| No log | 2.6869 | 266 | 0.6892 | 0.6412 | 0.6892 | 0.8302 |
| No log | 2.7071 | 268 | 0.7018 | 0.6481 | 0.7018 | 0.8378 |
| No log | 2.7273 | 270 | 0.7426 | 0.6309 | 0.7426 | 0.8617 |
| No log | 2.7475 | 272 | 0.7165 | 0.6426 | 0.7165 | 0.8465 |
| No log | 2.7677 | 274 | 0.6954 | 0.6263 | 0.6955 | 0.8339 |
| No log | 2.7879 | 276 | 0.6827 | 0.5995 | 0.6827 | 0.8263 |
| No log | 2.8081 | 278 | 0.6839 | 0.5651 | 0.6839 | 0.8270 |
| No log | 2.8283 | 280 | 0.6939 | 0.5393 | 0.6939 | 0.8330 |
| No log | 2.8485 | 282 | 0.6648 | 0.5671 | 0.6648 | 0.8153 |
| No log | 2.8687 | 284 | 0.6398 | 0.6167 | 0.6398 | 0.7999 |
| No log | 2.8889 | 286 | 0.6855 | 0.5996 | 0.6855 | 0.8280 |
| No log | 2.9091 | 288 | 0.6661 | 0.6292 | 0.6661 | 0.8162 |
| No log | 2.9293 | 290 | 0.6133 | 0.6601 | 0.6133 | 0.7831 |
| No log | 2.9495 | 292 | 0.6515 | 0.6298 | 0.6515 | 0.8071 |
| No log | 2.9697 | 294 | 0.8307 | 0.5705 | 0.8307 | 0.9114 |
| No log | 2.9899 | 296 | 0.9326 | 0.5192 | 0.9326 | 0.9657 |
| No log | 3.0101 | 298 | 1.1018 | 0.4280 | 1.1018 | 1.0497 |
| No log | 3.0303 | 300 | 1.0019 | 0.5174 | 1.0019 | 1.0010 |
| No log | 3.0505 | 302 | 0.7944 | 0.5947 | 0.7944 | 0.8913 |
| No log | 3.0707 | 304 | 0.6969 | 0.6379 | 0.6969 | 0.8348 |
| No log | 3.0909 | 306 | 0.6640 | 0.6669 | 0.6640 | 0.8149 |
| No log | 3.1111 | 308 | 0.7964 | 0.6211 | 0.7964 | 0.8924 |
| No log | 3.1313 | 310 | 0.8303 | 0.6307 | 0.8303 | 0.9112 |
| No log | 3.1515 | 312 | 0.7130 | 0.6497 | 0.7130 | 0.8444 |
| No log | 3.1717 | 314 | 0.6433 | 0.6740 | 0.6433 | 0.8021 |
| No log | 3.1919 | 316 | 0.6965 | 0.6303 | 0.6965 | 0.8346 |
| No log | 3.2121 | 318 | 0.7223 | 0.5907 | 0.7223 | 0.8499 |
| No log | 3.2323 | 320 | 0.7514 | 0.5776 | 0.7514 | 0.8668 |
| No log | 3.2525 | 322 | 0.6793 | 0.6022 | 0.6793 | 0.8242 |
| No log | 3.2727 | 324 | 0.6307 | 0.6541 | 0.6307 | 0.7942 |
| No log | 3.2929 | 326 | 0.6780 | 0.6659 | 0.6780 | 0.8234 |
| No log | 3.3131 | 328 | 0.6590 | 0.6759 | 0.6590 | 0.8118 |
| No log | 3.3333 | 330 | 0.6941 | 0.6333 | 0.6941 | 0.8331 |
| No log | 3.3535 | 332 | 0.9524 | 0.5317 | 0.9524 | 0.9759 |
| No log | 3.3737 | 334 | 1.1053 | 0.4894 | 1.1053 | 1.0513 |
| No log | 3.3939 | 336 | 1.0201 | 0.5250 | 1.0201 | 1.0100 |
| No log | 3.4141 | 338 | 0.8433 | 0.5750 | 0.8433 | 0.9183 |
| No log | 3.4343 | 340 | 0.7088 | 0.6252 | 0.7088 | 0.8419 |
| No log | 3.4545 | 342 | 0.6537 | 0.6297 | 0.6537 | 0.8085 |
| No log | 3.4747 | 344 | 0.6326 | 0.6473 | 0.6326 | 0.7954 |
| No log | 3.4949 | 346 | 0.6334 | 0.6421 | 0.6334 | 0.7958 |
| No log | 3.5152 | 348 | 0.6640 | 0.6335 | 0.6640 | 0.8149 |
| No log | 3.5354 | 350 | 0.7642 | 0.6073 | 0.7642 | 0.8742 |
| No log | 3.5556 | 352 | 0.7997 | 0.6126 | 0.7997 | 0.8943 |
| No log | 3.5758 | 354 | 0.7741 | 0.6287 | 0.7741 | 0.8798 |
| No log | 3.5960 | 356 | 0.8095 | 0.6078 | 0.8095 | 0.8997 |
| No log | 3.6162 | 358 | 0.8985 | 0.5974 | 0.8985 | 0.9479 |
| No log | 3.6364 | 360 | 0.7966 | 0.6334 | 0.7966 | 0.8925 |
| No log | 3.6566 | 362 | 0.7220 | 0.6614 | 0.7220 | 0.8497 |
| No log | 3.6768 | 364 | 0.7522 | 0.6703 | 0.7522 | 0.8673 |
| No log | 3.6970 | 366 | 0.7093 | 0.6860 | 0.7093 | 0.8422 |
| No log | 3.7172 | 368 | 0.6952 | 0.6572 | 0.6952 | 0.8338 |
| No log | 3.7374 | 370 | 0.8273 | 0.5971 | 0.8273 | 0.9096 |
| No log | 3.7576 | 372 | 0.8287 | 0.5917 | 0.8287 | 0.9103 |
| No log | 3.7778 | 374 | 0.6975 | 0.6184 | 0.6975 | 0.8351 |
| No log | 3.7980 | 376 | 0.6474 | 0.6348 | 0.6474 | 0.8046 |
| No log | 3.8182 | 378 | 0.6271 | 0.6371 | 0.6271 | 0.7919 |
| No log | 3.8384 | 380 | 0.6239 | 0.6900 | 0.6239 | 0.7899 |
| No log | 3.8586 | 382 | 0.6775 | 0.6670 | 0.6775 | 0.8231 |
| No log | 3.8788 | 384 | 0.8260 | 0.6463 | 0.8260 | 0.9088 |
| No log | 3.8990 | 386 | 0.8463 | 0.6271 | 0.8463 | 0.9200 |
| No log | 3.9192 | 388 | 0.7470 | 0.6534 | 0.7470 | 0.8643 |
| No log | 3.9394 | 390 | 0.6208 | 0.6872 | 0.6208 | 0.7879 |
| No log | 3.9596 | 392 | 0.5923 | 0.6876 | 0.5923 | 0.7696 |
| No log | 3.9798 | 394 | 0.5787 | 0.6786 | 0.5787 | 0.7607 |
| No log | 4.0 | 396 | 0.5896 | 0.6485 | 0.5896 | 0.7679 |
| No log | 4.0202 | 398 | 0.6086 | 0.6378 | 0.6086 | 0.7801 |
| No log | 4.0404 | 400 | 0.6522 | 0.6083 | 0.6522 | 0.8076 |
| No log | 4.0606 | 402 | 0.6528 | 0.6246 | 0.6528 | 0.8079 |
| No log | 4.0808 | 404 | 0.6374 | 0.6375 | 0.6374 | 0.7984 |
| No log | 4.1010 | 406 | 0.6177 | 0.6757 | 0.6177 | 0.7859 |
| No log | 4.1212 | 408 | 0.6265 | 0.6734 | 0.6265 | 0.7915 |
| No log | 4.1414 | 410 | 0.6625 | 0.6623 | 0.6625 | 0.8139 |
| No log | 4.1616 | 412 | 0.7296 | 0.6480 | 0.7296 | 0.8542 |
| No log | 4.1818 | 414 | 0.7049 | 0.6418 | 0.7049 | 0.8396 |
| No log | 4.2020 | 416 | 0.7323 | 0.6363 | 0.7323 | 0.8557 |
| No log | 4.2222 | 418 | 0.6663 | 0.6552 | 0.6663 | 0.8163 |
| No log | 4.2424 | 420 | 0.6213 | 0.6515 | 0.6213 | 0.7882 |
| No log | 4.2626 | 422 | 0.5995 | 0.6585 | 0.5995 | 0.7742 |
| No log | 4.2828 | 424 | 0.6429 | 0.6575 | 0.6429 | 0.8018 |
| No log | 4.3030 | 426 | 0.7871 | 0.6092 | 0.7871 | 0.8872 |
| No log | 4.3232 | 428 | 0.8127 | 0.6192 | 0.8127 | 0.9015 |
| No log | 4.3434 | 430 | 0.7159 | 0.6693 | 0.7159 | 0.8461 |
| No log | 4.3636 | 432 | 0.6279 | 0.6975 | 0.6279 | 0.7924 |
| No log | 4.3838 | 434 | 0.6101 | 0.6845 | 0.6101 | 0.7811 |
| No log | 4.4040 | 436 | 0.6074 | 0.6554 | 0.6074 | 0.7794 |
| No log | 4.4242 | 438 | 0.7050 | 0.6366 | 0.7050 | 0.8396 |
| No log | 4.4444 | 440 | 0.7419 | 0.5829 | 0.7419 | 0.8613 |
| No log | 4.4646 | 442 | 0.6782 | 0.5986 | 0.6782 | 0.8235 |
| No log | 4.4848 | 444 | 0.6110 | 0.6277 | 0.6110 | 0.7816 |
| No log | 4.5051 | 446 | 0.6721 | 0.5789 | 0.6721 | 0.8198 |
| No log | 4.5253 | 448 | 0.6792 | 0.5965 | 0.6792 | 0.8241 |
| No log | 4.5455 | 450 | 0.6322 | 0.6680 | 0.6322 | 0.7951 |
| No log | 4.5657 | 452 | 0.7133 | 0.6338 | 0.7133 | 0.8446 |
| No log | 4.5859 | 454 | 0.9591 | 0.5798 | 0.9591 | 0.9793 |
| No log | 4.6061 | 456 | 1.0211 | 0.5587 | 1.0211 | 1.0105 |
| No log | 4.6263 | 458 | 0.8511 | 0.6297 | 0.8511 | 0.9225 |
| No log | 4.6465 | 460 | 0.6945 | 0.6405 | 0.6945 | 0.8334 |
| No log | 4.6667 | 462 | 0.6997 | 0.6557 | 0.6997 | 0.8365 |
| No log | 4.6869 | 464 | 0.6716 | 0.6353 | 0.6716 | 0.8195 |
| No log | 4.7071 | 466 | 0.6634 | 0.6514 | 0.6634 | 0.8145 |
| No log | 4.7273 | 468 | 0.7307 | 0.6236 | 0.7307 | 0.8548 |
| No log | 4.7475 | 470 | 0.7557 | 0.6322 | 0.7557 | 0.8693 |
| No log | 4.7677 | 472 | 0.7302 | 0.6571 | 0.7302 | 0.8545 |
| No log | 4.7879 | 474 | 0.7985 | 0.6418 | 0.7985 | 0.8936 |
| No log | 4.8081 | 476 | 0.7822 | 0.6405 | 0.7822 | 0.8844 |
| No log | 4.8283 | 478 | 0.7447 | 0.6508 | 0.7447 | 0.8629 |
| No log | 4.8485 | 480 | 0.7655 | 0.6510 | 0.7655 | 0.8749 |
| No log | 4.8687 | 482 | 0.7683 | 0.6549 | 0.7683 | 0.8765 |
| No log | 4.8889 | 484 | 0.8264 | 0.6174 | 0.8264 | 0.9090 |
| No log | 4.9091 | 486 | 0.7629 | 0.6231 | 0.7629 | 0.8735 |
| No log | 4.9293 | 488 | 0.7017 | 0.6311 | 0.7017 | 0.8377 |
| No log | 4.9495 | 490 | 0.6641 | 0.6634 | 0.6641 | 0.8149 |
| No log | 4.9697 | 492 | 0.7021 | 0.6112 | 0.7021 | 0.8379 |
| No log | 4.9899 | 494 | 0.8478 | 0.5978 | 0.8478 | 0.9208 |
| No log | 5.0101 | 496 | 0.9165 | 0.5812 | 0.9165 | 0.9574 |
| No log | 5.0303 | 498 | 0.7967 | 0.6511 | 0.7967 | 0.8926 |
| 0.5907 | 5.0505 | 500 | 0.7407 | 0.6459 | 0.7407 | 0.8607 |
| 0.5907 | 5.0707 | 502 | 0.7590 | 0.6400 | 0.7590 | 0.8712 |
| 0.5907 | 5.0909 | 504 | 0.8666 | 0.6516 | 0.8666 | 0.9309 |
| 0.5907 | 5.1111 | 506 | 1.1782 | 0.5243 | 1.1782 | 1.0855 |
| 0.5907 | 5.1313 | 508 | 1.3530 | 0.4584 | 1.3530 | 1.1632 |
| 0.5907 | 5.1515 | 510 | 1.2073 | 0.5181 | 1.2073 | 1.0988 |
| 0.5907 | 5.1717 | 512 | 0.8571 | 0.5859 | 0.8571 | 0.9258 |
| 0.5907 | 5.1919 | 514 | 0.6898 | 0.6360 | 0.6898 | 0.8306 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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