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library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask5_development
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_TestTask5_development
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: 0.7245
- Qwk: 0.3105
- Mse: 0.7245
- Rmse: 0.8512
## 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 | 0.0198 | 2 | 3.7605 | -0.0067 | 3.7605 | 1.9392 |
| No log | 0.0396 | 4 | 2.8011 | 0.0565 | 2.8011 | 1.6736 |
| No log | 0.0594 | 6 | 1.3344 | 0.0631 | 1.3344 | 1.1551 |
| No log | 0.0792 | 8 | 0.8512 | 0.0282 | 0.8512 | 0.9226 |
| No log | 0.0990 | 10 | 0.7192 | 0.1352 | 0.7192 | 0.8481 |
| No log | 0.1188 | 12 | 0.8331 | 0.0430 | 0.8331 | 0.9127 |
| No log | 0.1386 | 14 | 0.8840 | 0.0271 | 0.8840 | 0.9402 |
| No log | 0.1584 | 16 | 0.8207 | 0.0977 | 0.8207 | 0.9059 |
| No log | 0.1782 | 18 | 0.6957 | 0.1803 | 0.6957 | 0.8341 |
| No log | 0.1980 | 20 | 0.6125 | 0.2963 | 0.6125 | 0.7826 |
| No log | 0.2178 | 22 | 0.5972 | 0.3619 | 0.5972 | 0.7728 |
| No log | 0.2376 | 24 | 0.5931 | 0.3692 | 0.5931 | 0.7701 |
| No log | 0.2574 | 26 | 0.5902 | 0.3582 | 0.5902 | 0.7683 |
| No log | 0.2772 | 28 | 0.6011 | 0.3003 | 0.6011 | 0.7753 |
| No log | 0.2970 | 30 | 0.6363 | 0.2651 | 0.6363 | 0.7977 |
| No log | 0.3168 | 32 | 0.6449 | 0.2444 | 0.6449 | 0.8031 |
| No log | 0.3366 | 34 | 0.5643 | 0.3763 | 0.5643 | 0.7512 |
| No log | 0.3564 | 36 | 0.5844 | 0.4751 | 0.5844 | 0.7645 |
| No log | 0.3762 | 38 | 0.5590 | 0.4862 | 0.5590 | 0.7477 |
| No log | 0.3960 | 40 | 0.5536 | 0.5061 | 0.5536 | 0.7440 |
| No log | 0.4158 | 42 | 0.5922 | 0.4717 | 0.5922 | 0.7695 |
| No log | 0.4356 | 44 | 0.6937 | 0.4583 | 0.6937 | 0.8329 |
| No log | 0.4554 | 46 | 0.7036 | 0.4668 | 0.7036 | 0.8388 |
| No log | 0.4752 | 48 | 0.7354 | 0.3480 | 0.7354 | 0.8576 |
| No log | 0.4950 | 50 | 0.6405 | 0.3608 | 0.6405 | 0.8003 |
| No log | 0.5149 | 52 | 0.5102 | 0.4292 | 0.5102 | 0.7143 |
| No log | 0.5347 | 54 | 0.4952 | 0.4374 | 0.4952 | 0.7037 |
| No log | 0.5545 | 56 | 0.5736 | 0.3493 | 0.5736 | 0.7574 |
| No log | 0.5743 | 58 | 0.6521 | 0.2356 | 0.6521 | 0.8075 |
| No log | 0.5941 | 60 | 0.6310 | 0.2754 | 0.6310 | 0.7944 |
| No log | 0.6139 | 62 | 0.5271 | 0.3577 | 0.5271 | 0.7260 |
| No log | 0.6337 | 64 | 0.4680 | 0.4847 | 0.4680 | 0.6841 |
| No log | 0.6535 | 66 | 0.4714 | 0.4828 | 0.4714 | 0.6866 |
| No log | 0.6733 | 68 | 0.5387 | 0.4875 | 0.5387 | 0.7340 |
| No log | 0.6931 | 70 | 0.5428 | 0.4918 | 0.5428 | 0.7368 |
| No log | 0.7129 | 72 | 0.4751 | 0.5349 | 0.4751 | 0.6892 |
| No log | 0.7327 | 74 | 0.4681 | 0.5247 | 0.4681 | 0.6842 |
| No log | 0.7525 | 76 | 0.4498 | 0.5342 | 0.4498 | 0.6706 |
| No log | 0.7723 | 78 | 0.4825 | 0.4332 | 0.4825 | 0.6946 |
| No log | 0.7921 | 80 | 0.4921 | 0.4432 | 0.4921 | 0.7015 |
| No log | 0.8119 | 82 | 0.5618 | 0.4054 | 0.5618 | 0.7495 |
| No log | 0.8317 | 84 | 0.6938 | 0.2423 | 0.6938 | 0.8329 |
| No log | 0.8515 | 86 | 0.6828 | 0.2279 | 0.6828 | 0.8263 |
| No log | 0.8713 | 88 | 0.6146 | 0.2400 | 0.6146 | 0.7840 |
| No log | 0.8911 | 90 | 0.5385 | 0.3728 | 0.5385 | 0.7338 |
| No log | 0.9109 | 92 | 0.5151 | 0.4848 | 0.5151 | 0.7177 |
| No log | 0.9307 | 94 | 0.4932 | 0.5136 | 0.4932 | 0.7023 |
| No log | 0.9505 | 96 | 0.4805 | 0.4512 | 0.4805 | 0.6932 |
| No log | 0.9703 | 98 | 0.5936 | 0.2649 | 0.5936 | 0.7704 |
| No log | 0.9901 | 100 | 0.6885 | 0.3259 | 0.6885 | 0.8298 |
| No log | 1.0099 | 102 | 0.7979 | 0.2878 | 0.7979 | 0.8932 |
| No log | 1.0297 | 104 | 0.7656 | 0.2974 | 0.7656 | 0.8750 |
| No log | 1.0495 | 106 | 0.6099 | 0.3885 | 0.6099 | 0.7809 |
| No log | 1.0693 | 108 | 0.4973 | 0.4407 | 0.4973 | 0.7052 |
| No log | 1.0891 | 110 | 0.4892 | 0.4195 | 0.4892 | 0.6994 |
| No log | 1.1089 | 112 | 0.5174 | 0.4398 | 0.5174 | 0.7193 |
| No log | 1.1287 | 114 | 0.6280 | 0.3519 | 0.6280 | 0.7925 |
| No log | 1.1485 | 116 | 0.7064 | 0.3029 | 0.7064 | 0.8405 |
| No log | 1.1683 | 118 | 0.7294 | 0.2953 | 0.7294 | 0.8541 |
| No log | 1.1881 | 120 | 0.6667 | 0.3768 | 0.6667 | 0.8165 |
| No log | 1.2079 | 122 | 0.5777 | 0.4478 | 0.5777 | 0.7601 |
| No log | 1.2277 | 124 | 0.4983 | 0.5306 | 0.4983 | 0.7059 |
| No log | 1.2475 | 126 | 0.4913 | 0.5433 | 0.4913 | 0.7009 |
| No log | 1.2673 | 128 | 0.5557 | 0.5109 | 0.5557 | 0.7454 |
| No log | 1.2871 | 130 | 0.6744 | 0.4407 | 0.6744 | 0.8212 |
| No log | 1.3069 | 132 | 0.6969 | 0.4177 | 0.6969 | 0.8348 |
| No log | 1.3267 | 134 | 0.6493 | 0.4307 | 0.6493 | 0.8058 |
| No log | 1.3465 | 136 | 0.6172 | 0.4142 | 0.6172 | 0.7856 |
| No log | 1.3663 | 138 | 0.5356 | 0.5170 | 0.5356 | 0.7318 |
| No log | 1.3861 | 140 | 0.5252 | 0.5816 | 0.5252 | 0.7247 |
| No log | 1.4059 | 142 | 0.5504 | 0.5412 | 0.5504 | 0.7419 |
| No log | 1.4257 | 144 | 0.5542 | 0.5179 | 0.5542 | 0.7444 |
| No log | 1.4455 | 146 | 0.5213 | 0.5134 | 0.5213 | 0.7220 |
| No log | 1.4653 | 148 | 0.5340 | 0.4352 | 0.5340 | 0.7307 |
| No log | 1.4851 | 150 | 0.5923 | 0.4012 | 0.5923 | 0.7696 |
| No log | 1.5050 | 152 | 0.5732 | 0.4007 | 0.5732 | 0.7571 |
| No log | 1.5248 | 154 | 0.5631 | 0.3466 | 0.5631 | 0.7504 |
| No log | 1.5446 | 156 | 0.5107 | 0.3964 | 0.5107 | 0.7146 |
| No log | 1.5644 | 158 | 0.4817 | 0.4400 | 0.4817 | 0.6940 |
| No log | 1.5842 | 160 | 0.4540 | 0.4816 | 0.4540 | 0.6738 |
| No log | 1.6040 | 162 | 0.4530 | 0.4812 | 0.4530 | 0.6730 |
| No log | 1.6238 | 164 | 0.4567 | 0.4801 | 0.4567 | 0.6758 |
| No log | 1.6436 | 166 | 0.4917 | 0.4556 | 0.4917 | 0.7012 |
| No log | 1.6634 | 168 | 0.5512 | 0.3964 | 0.5512 | 0.7424 |
| No log | 1.6832 | 170 | 0.5656 | 0.3859 | 0.5656 | 0.7521 |
| No log | 1.7030 | 172 | 0.5109 | 0.4484 | 0.5109 | 0.7148 |
| No log | 1.7228 | 174 | 0.4603 | 0.4713 | 0.4603 | 0.6784 |
| No log | 1.7426 | 176 | 0.4735 | 0.5088 | 0.4735 | 0.6881 |
| No log | 1.7624 | 178 | 0.4627 | 0.4798 | 0.4627 | 0.6802 |
| No log | 1.7822 | 180 | 0.5659 | 0.3922 | 0.5659 | 0.7523 |
| No log | 1.8020 | 182 | 0.6706 | 0.3399 | 0.6706 | 0.8189 |
| No log | 1.8218 | 184 | 0.6763 | 0.3237 | 0.6763 | 0.8224 |
| No log | 1.8416 | 186 | 0.6173 | 0.3578 | 0.6173 | 0.7857 |
| No log | 1.8614 | 188 | 0.5182 | 0.4200 | 0.5182 | 0.7199 |
| No log | 1.8812 | 190 | 0.4758 | 0.4675 | 0.4758 | 0.6898 |
| No log | 1.9010 | 192 | 0.4792 | 0.4841 | 0.4792 | 0.6923 |
| No log | 1.9208 | 194 | 0.5308 | 0.4743 | 0.5308 | 0.7285 |
| No log | 1.9406 | 196 | 0.5322 | 0.4548 | 0.5322 | 0.7295 |
| No log | 1.9604 | 198 | 0.5646 | 0.4816 | 0.5646 | 0.7514 |
| No log | 1.9802 | 200 | 0.6169 | 0.5112 | 0.6169 | 0.7854 |
| No log | 2.0 | 202 | 0.7013 | 0.4769 | 0.7013 | 0.8375 |
| No log | 2.0198 | 204 | 0.6028 | 0.4985 | 0.6028 | 0.7764 |
| No log | 2.0396 | 206 | 0.5873 | 0.5141 | 0.5873 | 0.7663 |
| No log | 2.0594 | 208 | 0.6611 | 0.4767 | 0.6611 | 0.8131 |
| No log | 2.0792 | 210 | 0.6622 | 0.4488 | 0.6622 | 0.8138 |
| No log | 2.0990 | 212 | 0.7040 | 0.3471 | 0.7040 | 0.8391 |
| No log | 2.1188 | 214 | 0.5945 | 0.3831 | 0.5945 | 0.7710 |
| No log | 2.1386 | 216 | 0.4957 | 0.4770 | 0.4957 | 0.7040 |
| No log | 2.1584 | 218 | 0.4748 | 0.5418 | 0.4748 | 0.6891 |
| No log | 2.1782 | 220 | 0.5029 | 0.4216 | 0.5029 | 0.7091 |
| No log | 2.1980 | 222 | 0.6301 | 0.3157 | 0.6301 | 0.7938 |
| No log | 2.2178 | 224 | 0.7521 | 0.2272 | 0.7521 | 0.8672 |
| No log | 2.2376 | 226 | 0.8176 | 0.3472 | 0.8176 | 0.9042 |
| No log | 2.2574 | 228 | 0.8492 | 0.3592 | 0.8492 | 0.9215 |
| No log | 2.2772 | 230 | 0.6807 | 0.3907 | 0.6807 | 0.8250 |
| No log | 2.2970 | 232 | 0.5219 | 0.4600 | 0.5219 | 0.7224 |
| No log | 2.3168 | 234 | 0.4768 | 0.4322 | 0.4768 | 0.6905 |
| No log | 2.3366 | 236 | 0.4723 | 0.4507 | 0.4723 | 0.6872 |
| No log | 2.3564 | 238 | 0.4830 | 0.4339 | 0.4830 | 0.6949 |
| No log | 2.3762 | 240 | 0.5101 | 0.3621 | 0.5101 | 0.7142 |
| No log | 2.3960 | 242 | 0.5289 | 0.3745 | 0.5289 | 0.7272 |
| No log | 2.4158 | 244 | 0.5172 | 0.3961 | 0.5172 | 0.7192 |
| No log | 2.4356 | 246 | 0.4877 | 0.4104 | 0.4877 | 0.6983 |
| No log | 2.4554 | 248 | 0.4449 | 0.4816 | 0.4449 | 0.6670 |
| No log | 2.4752 | 250 | 0.4183 | 0.5061 | 0.4183 | 0.6468 |
| No log | 2.4950 | 252 | 0.4268 | 0.5298 | 0.4268 | 0.6533 |
| No log | 2.5149 | 254 | 0.4426 | 0.5212 | 0.4426 | 0.6653 |
| No log | 2.5347 | 256 | 0.4536 | 0.5449 | 0.4536 | 0.6735 |
| No log | 2.5545 | 258 | 0.4669 | 0.5574 | 0.4669 | 0.6833 |
| No log | 2.5743 | 260 | 0.4610 | 0.5175 | 0.4610 | 0.6790 |
| No log | 2.5941 | 262 | 0.4562 | 0.5003 | 0.4562 | 0.6754 |
| No log | 2.6139 | 264 | 0.4061 | 0.5484 | 0.4061 | 0.6373 |
| No log | 2.6337 | 266 | 0.4019 | 0.6164 | 0.4019 | 0.6339 |
| No log | 2.6535 | 268 | 0.4296 | 0.6228 | 0.4296 | 0.6554 |
| No log | 2.6733 | 270 | 0.5077 | 0.5435 | 0.5077 | 0.7125 |
| No log | 2.6931 | 272 | 0.5201 | 0.4996 | 0.5201 | 0.7212 |
| No log | 2.7129 | 274 | 0.5027 | 0.5008 | 0.5027 | 0.7090 |
| No log | 2.7327 | 276 | 0.4196 | 0.5960 | 0.4196 | 0.6478 |
| No log | 2.7525 | 278 | 0.4501 | 0.6120 | 0.4501 | 0.6709 |
| No log | 2.7723 | 280 | 0.5441 | 0.5349 | 0.5441 | 0.7376 |
| No log | 2.7921 | 282 | 0.6648 | 0.4825 | 0.6648 | 0.8153 |
| No log | 2.8119 | 284 | 0.8039 | 0.4531 | 0.8039 | 0.8966 |
| No log | 2.8317 | 286 | 0.7183 | 0.4687 | 0.7183 | 0.8475 |
| No log | 2.8515 | 288 | 0.5073 | 0.5572 | 0.5073 | 0.7123 |
| No log | 2.8713 | 290 | 0.4173 | 0.5626 | 0.4173 | 0.6460 |
| No log | 2.8911 | 292 | 0.4065 | 0.5732 | 0.4065 | 0.6375 |
| No log | 2.9109 | 294 | 0.4110 | 0.5638 | 0.4110 | 0.6411 |
| No log | 2.9307 | 296 | 0.4248 | 0.5598 | 0.4248 | 0.6517 |
| No log | 2.9505 | 298 | 0.4838 | 0.5252 | 0.4838 | 0.6955 |
| No log | 2.9703 | 300 | 0.5482 | 0.4933 | 0.5482 | 0.7404 |
| No log | 2.9901 | 302 | 0.6601 | 0.4403 | 0.6601 | 0.8125 |
| No log | 3.0099 | 304 | 0.6911 | 0.3841 | 0.6911 | 0.8313 |
| No log | 3.0297 | 306 | 0.6035 | 0.4307 | 0.6035 | 0.7769 |
| No log | 3.0495 | 308 | 0.4462 | 0.5186 | 0.4462 | 0.6680 |
| No log | 3.0693 | 310 | 0.4178 | 0.5510 | 0.4178 | 0.6464 |
| No log | 3.0891 | 312 | 0.4303 | 0.5432 | 0.4303 | 0.6559 |
| No log | 3.1089 | 314 | 0.4668 | 0.4756 | 0.4668 | 0.6832 |
| No log | 3.1287 | 316 | 0.5005 | 0.4416 | 0.5005 | 0.7075 |
| No log | 3.1485 | 318 | 0.5076 | 0.4534 | 0.5076 | 0.7125 |
| No log | 3.1683 | 320 | 0.4601 | 0.4944 | 0.4601 | 0.6783 |
| No log | 3.1881 | 322 | 0.4482 | 0.5682 | 0.4482 | 0.6695 |
| No log | 3.2079 | 324 | 0.4573 | 0.5804 | 0.4573 | 0.6762 |
| No log | 3.2277 | 326 | 0.4351 | 0.6070 | 0.4351 | 0.6596 |
| No log | 3.2475 | 328 | 0.4466 | 0.5865 | 0.4466 | 0.6683 |
| No log | 3.2673 | 330 | 0.5302 | 0.5107 | 0.5302 | 0.7281 |
| No log | 3.2871 | 332 | 0.5540 | 0.4645 | 0.5540 | 0.7443 |
| No log | 3.3069 | 334 | 0.4564 | 0.5671 | 0.4564 | 0.6755 |
| No log | 3.3267 | 336 | 0.4192 | 0.6667 | 0.4192 | 0.6474 |
| No log | 3.3465 | 338 | 0.4269 | 0.6371 | 0.4269 | 0.6534 |
| No log | 3.3663 | 340 | 0.4199 | 0.6042 | 0.4199 | 0.6480 |
| No log | 3.3861 | 342 | 0.4786 | 0.5487 | 0.4786 | 0.6918 |
| No log | 3.4059 | 344 | 0.5462 | 0.4735 | 0.5462 | 0.7390 |
| No log | 3.4257 | 346 | 0.5562 | 0.4735 | 0.5562 | 0.7458 |
| No log | 3.4455 | 348 | 0.5499 | 0.5234 | 0.5499 | 0.7415 |
| No log | 3.4653 | 350 | 0.5564 | 0.5799 | 0.5564 | 0.7459 |
| No log | 3.4851 | 352 | 0.5679 | 0.5590 | 0.5679 | 0.7536 |
| No log | 3.5050 | 354 | 0.5635 | 0.5784 | 0.5635 | 0.7506 |
| No log | 3.5248 | 356 | 0.5990 | 0.5481 | 0.5990 | 0.7740 |
| No log | 3.5446 | 358 | 0.5921 | 0.4980 | 0.5921 | 0.7695 |
| No log | 3.5644 | 360 | 0.5060 | 0.5269 | 0.5060 | 0.7113 |
| No log | 3.5842 | 362 | 0.3829 | 0.6343 | 0.3829 | 0.6188 |
| No log | 3.6040 | 364 | 0.3898 | 0.6382 | 0.3898 | 0.6244 |
| No log | 3.6238 | 366 | 0.3971 | 0.6427 | 0.3971 | 0.6302 |
| No log | 3.6436 | 368 | 0.4461 | 0.5986 | 0.4461 | 0.6679 |
| No log | 3.6634 | 370 | 0.5536 | 0.5424 | 0.5536 | 0.7440 |
| No log | 3.6832 | 372 | 0.6867 | 0.4583 | 0.6867 | 0.8287 |
| No log | 3.7030 | 374 | 0.6940 | 0.4704 | 0.6940 | 0.8330 |
| No log | 3.7228 | 376 | 0.5833 | 0.5085 | 0.5833 | 0.7638 |
| No log | 3.7426 | 378 | 0.4504 | 0.5599 | 0.4504 | 0.6711 |
| No log | 3.7624 | 380 | 0.4758 | 0.5630 | 0.4758 | 0.6898 |
| No log | 3.7822 | 382 | 0.5093 | 0.5044 | 0.5093 | 0.7137 |
| No log | 3.8020 | 384 | 0.4695 | 0.5460 | 0.4695 | 0.6852 |
| No log | 3.8218 | 386 | 0.4592 | 0.5394 | 0.4592 | 0.6776 |
| No log | 3.8416 | 388 | 0.5287 | 0.4906 | 0.5287 | 0.7271 |
| No log | 3.8614 | 390 | 0.6134 | 0.4747 | 0.6134 | 0.7832 |
| No log | 3.8812 | 392 | 0.6210 | 0.4740 | 0.6210 | 0.7880 |
| No log | 3.9010 | 394 | 0.5508 | 0.5268 | 0.5508 | 0.7422 |
| No log | 3.9208 | 396 | 0.5396 | 0.5699 | 0.5396 | 0.7346 |
| No log | 3.9406 | 398 | 0.5154 | 0.5873 | 0.5154 | 0.7179 |
| No log | 3.9604 | 400 | 0.5190 | 0.4956 | 0.5190 | 0.7204 |
| No log | 3.9802 | 402 | 0.5421 | 0.4662 | 0.5421 | 0.7363 |
| No log | 4.0 | 404 | 0.6192 | 0.4446 | 0.6192 | 0.7869 |
| No log | 4.0198 | 406 | 0.7074 | 0.4461 | 0.7074 | 0.8411 |
| No log | 4.0396 | 408 | 0.6836 | 0.4685 | 0.6836 | 0.8268 |
| No log | 4.0594 | 410 | 0.5723 | 0.5120 | 0.5723 | 0.7565 |
| No log | 4.0792 | 412 | 0.5211 | 0.5631 | 0.5211 | 0.7218 |
| No log | 4.0990 | 414 | 0.5211 | 0.5687 | 0.5211 | 0.7219 |
| No log | 4.1188 | 416 | 0.5070 | 0.5896 | 0.5070 | 0.7120 |
| No log | 4.1386 | 418 | 0.5620 | 0.5387 | 0.5620 | 0.7497 |
| No log | 4.1584 | 420 | 0.6160 | 0.5055 | 0.6160 | 0.7849 |
| No log | 4.1782 | 422 | 0.6753 | 0.4457 | 0.6753 | 0.8218 |
| No log | 4.1980 | 424 | 0.6623 | 0.4135 | 0.6623 | 0.8138 |
| No log | 4.2178 | 426 | 0.5551 | 0.4282 | 0.5551 | 0.7451 |
| No log | 4.2376 | 428 | 0.4574 | 0.5010 | 0.4574 | 0.6763 |
| No log | 4.2574 | 430 | 0.4214 | 0.5551 | 0.4214 | 0.6492 |
| No log | 4.2772 | 432 | 0.4166 | 0.5586 | 0.4166 | 0.6455 |
| No log | 4.2970 | 434 | 0.4196 | 0.5693 | 0.4196 | 0.6478 |
| No log | 4.3168 | 436 | 0.4176 | 0.5878 | 0.4176 | 0.6462 |
| No log | 4.3366 | 438 | 0.4485 | 0.5545 | 0.4485 | 0.6697 |
| No log | 4.3564 | 440 | 0.4782 | 0.5412 | 0.4782 | 0.6915 |
| No log | 4.3762 | 442 | 0.4859 | 0.5918 | 0.4859 | 0.6971 |
| No log | 4.3960 | 444 | 0.5019 | 0.5844 | 0.5019 | 0.7085 |
| No log | 4.4158 | 446 | 0.4722 | 0.5704 | 0.4722 | 0.6872 |
| No log | 4.4356 | 448 | 0.4662 | 0.6040 | 0.4662 | 0.6828 |
| No log | 4.4554 | 450 | 0.4943 | 0.6096 | 0.4943 | 0.7031 |
| No log | 4.4752 | 452 | 0.5413 | 0.5920 | 0.5413 | 0.7358 |
| No log | 4.4950 | 454 | 0.5918 | 0.5405 | 0.5918 | 0.7693 |
| No log | 4.5149 | 456 | 0.7302 | 0.4517 | 0.7302 | 0.8545 |
| No log | 4.5347 | 458 | 0.7065 | 0.4641 | 0.7065 | 0.8405 |
| No log | 4.5545 | 460 | 0.5756 | 0.5685 | 0.5756 | 0.7587 |
| No log | 4.5743 | 462 | 0.5117 | 0.6030 | 0.5117 | 0.7153 |
| No log | 4.5941 | 464 | 0.4985 | 0.5957 | 0.4985 | 0.7061 |
| No log | 4.6139 | 466 | 0.4794 | 0.5670 | 0.4794 | 0.6924 |
| No log | 4.6337 | 468 | 0.4801 | 0.5520 | 0.4801 | 0.6929 |
| No log | 4.6535 | 470 | 0.5271 | 0.5250 | 0.5271 | 0.7260 |
| No log | 4.6733 | 472 | 0.6567 | 0.4768 | 0.6567 | 0.8104 |
| No log | 4.6931 | 474 | 0.7279 | 0.4515 | 0.7279 | 0.8531 |
| No log | 4.7129 | 476 | 0.6586 | 0.4437 | 0.6586 | 0.8115 |
| No log | 4.7327 | 478 | 0.5305 | 0.4238 | 0.5305 | 0.7284 |
| No log | 4.7525 | 480 | 0.5091 | 0.4758 | 0.5091 | 0.7135 |
| No log | 4.7723 | 482 | 0.4930 | 0.4796 | 0.4930 | 0.7021 |
| No log | 4.7921 | 484 | 0.4780 | 0.5139 | 0.4780 | 0.6914 |
| No log | 4.8119 | 486 | 0.4989 | 0.5349 | 0.4989 | 0.7063 |
| No log | 4.8317 | 488 | 0.5307 | 0.5183 | 0.5307 | 0.7285 |
| No log | 4.8515 | 490 | 0.6843 | 0.4820 | 0.6843 | 0.8272 |
| No log | 4.8713 | 492 | 0.7667 | 0.4833 | 0.7667 | 0.8756 |
| No log | 4.8911 | 494 | 0.6973 | 0.5032 | 0.6973 | 0.8350 |
| No log | 4.9109 | 496 | 0.5441 | 0.5859 | 0.5441 | 0.7376 |
| No log | 4.9307 | 498 | 0.4172 | 0.6639 | 0.4172 | 0.6459 |
| 0.4651 | 4.9505 | 500 | 0.4043 | 0.6353 | 0.4043 | 0.6358 |
| 0.4651 | 4.9703 | 502 | 0.4233 | 0.5856 | 0.4233 | 0.6506 |
| 0.4651 | 4.9901 | 504 | 0.4907 | 0.5683 | 0.4907 | 0.7005 |
| 0.4651 | 5.0099 | 506 | 0.5767 | 0.4570 | 0.5767 | 0.7594 |
| 0.4651 | 5.0297 | 508 | 0.7091 | 0.3346 | 0.7091 | 0.8421 |
| 0.4651 | 5.0495 | 510 | 0.7245 | 0.3105 | 0.7245 | 0.8512 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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