File size: 24,757 Bytes
2089d62 67144dd 2089d62 67144dd 2089d62 67144dd 2089d62 67144dd 2089d62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 | ---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask3_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_TestTask3_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: 0.3815
- Qwk: 0.6200
- Mse: 0.3815
- Rmse: 0.6177
## 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 | 0.0194 | 2 | 3.8407 | -0.0045 | 3.8407 | 1.9598 |
| No log | 0.0388 | 4 | 2.2355 | 0.1101 | 2.2355 | 1.4951 |
| No log | 0.0583 | 6 | 1.2637 | 0.0549 | 1.2637 | 1.1242 |
| No log | 0.0777 | 8 | 0.7238 | 0.2311 | 0.7238 | 0.8508 |
| No log | 0.0971 | 10 | 0.6851 | 0.1360 | 0.6851 | 0.8277 |
| No log | 0.1165 | 12 | 0.6795 | 0.1154 | 0.6795 | 0.8243 |
| No log | 0.1359 | 14 | 0.6190 | 0.2805 | 0.6190 | 0.7868 |
| No log | 0.1553 | 16 | 0.6968 | 0.2922 | 0.6968 | 0.8347 |
| No log | 0.1748 | 18 | 0.8617 | 0.1219 | 0.8617 | 0.9283 |
| No log | 0.1942 | 20 | 0.7391 | 0.2016 | 0.7391 | 0.8597 |
| No log | 0.2136 | 22 | 0.5878 | 0.3982 | 0.5878 | 0.7667 |
| No log | 0.2330 | 24 | 0.5293 | 0.4446 | 0.5293 | 0.7276 |
| No log | 0.2524 | 26 | 0.4939 | 0.4794 | 0.4939 | 0.7028 |
| No log | 0.2718 | 28 | 0.5129 | 0.4367 | 0.5129 | 0.7162 |
| No log | 0.2913 | 30 | 0.4829 | 0.4710 | 0.4829 | 0.6949 |
| No log | 0.3107 | 32 | 0.4259 | 0.5474 | 0.4259 | 0.6526 |
| No log | 0.3301 | 34 | 0.5059 | 0.5296 | 0.5059 | 0.7113 |
| No log | 0.3495 | 36 | 0.5640 | 0.5075 | 0.5640 | 0.7510 |
| No log | 0.3689 | 38 | 0.4977 | 0.5398 | 0.4977 | 0.7055 |
| No log | 0.3883 | 40 | 0.4045 | 0.5579 | 0.4045 | 0.6360 |
| No log | 0.4078 | 42 | 0.4049 | 0.6042 | 0.4049 | 0.6363 |
| No log | 0.4272 | 44 | 0.4112 | 0.6143 | 0.4112 | 0.6412 |
| No log | 0.4466 | 46 | 0.4324 | 0.6429 | 0.4324 | 0.6576 |
| No log | 0.4660 | 48 | 0.4675 | 0.6633 | 0.4675 | 0.6837 |
| No log | 0.4854 | 50 | 0.5175 | 0.6353 | 0.5175 | 0.7194 |
| No log | 0.5049 | 52 | 0.6148 | 0.5696 | 0.6148 | 0.7841 |
| No log | 0.5243 | 54 | 0.5774 | 0.6051 | 0.5774 | 0.7599 |
| No log | 0.5437 | 56 | 0.4151 | 0.5929 | 0.4151 | 0.6443 |
| No log | 0.5631 | 58 | 0.4314 | 0.5788 | 0.4314 | 0.6568 |
| No log | 0.5825 | 60 | 0.4377 | 0.5507 | 0.4377 | 0.6616 |
| No log | 0.6019 | 62 | 0.4266 | 0.5607 | 0.4266 | 0.6532 |
| No log | 0.6214 | 64 | 0.4358 | 0.5009 | 0.4358 | 0.6602 |
| No log | 0.6408 | 66 | 0.4387 | 0.4467 | 0.4387 | 0.6624 |
| No log | 0.6602 | 68 | 0.4315 | 0.4720 | 0.4315 | 0.6569 |
| No log | 0.6796 | 70 | 0.4182 | 0.5211 | 0.4182 | 0.6467 |
| No log | 0.6990 | 72 | 0.4497 | 0.5685 | 0.4497 | 0.6706 |
| No log | 0.7184 | 74 | 0.4220 | 0.5922 | 0.4220 | 0.6496 |
| No log | 0.7379 | 76 | 0.3873 | 0.6108 | 0.3873 | 0.6224 |
| No log | 0.7573 | 78 | 0.4027 | 0.6339 | 0.4027 | 0.6346 |
| No log | 0.7767 | 80 | 0.3942 | 0.6295 | 0.3942 | 0.6278 |
| No log | 0.7961 | 82 | 0.4388 | 0.6212 | 0.4388 | 0.6624 |
| No log | 0.8155 | 84 | 0.4690 | 0.6325 | 0.4690 | 0.6848 |
| No log | 0.8350 | 86 | 0.3817 | 0.6319 | 0.3817 | 0.6178 |
| No log | 0.8544 | 88 | 0.3693 | 0.5984 | 0.3693 | 0.6077 |
| No log | 0.8738 | 90 | 0.4263 | 0.5908 | 0.4263 | 0.6529 |
| No log | 0.8932 | 92 | 0.4282 | 0.6030 | 0.4282 | 0.6544 |
| No log | 0.9126 | 94 | 0.3701 | 0.6112 | 0.3701 | 0.6084 |
| No log | 0.9320 | 96 | 0.3679 | 0.5988 | 0.3679 | 0.6066 |
| No log | 0.9515 | 98 | 0.4327 | 0.5951 | 0.4327 | 0.6578 |
| No log | 0.9709 | 100 | 0.4437 | 0.5936 | 0.4437 | 0.6661 |
| No log | 0.9903 | 102 | 0.3780 | 0.6178 | 0.3780 | 0.6148 |
| No log | 1.0097 | 104 | 0.4347 | 0.6134 | 0.4347 | 0.6593 |
| No log | 1.0291 | 106 | 0.4412 | 0.6103 | 0.4412 | 0.6642 |
| No log | 1.0485 | 108 | 0.3786 | 0.6143 | 0.3786 | 0.6153 |
| No log | 1.0680 | 110 | 0.3703 | 0.6069 | 0.3703 | 0.6085 |
| No log | 1.0874 | 112 | 0.3715 | 0.6309 | 0.3715 | 0.6095 |
| No log | 1.1068 | 114 | 0.3803 | 0.6583 | 0.3803 | 0.6167 |
| No log | 1.1262 | 116 | 0.3804 | 0.6550 | 0.3804 | 0.6168 |
| No log | 1.1456 | 118 | 0.4030 | 0.6702 | 0.4030 | 0.6348 |
| No log | 1.1650 | 120 | 0.4088 | 0.6602 | 0.4088 | 0.6394 |
| No log | 1.1845 | 122 | 0.4273 | 0.6448 | 0.4273 | 0.6537 |
| No log | 1.2039 | 124 | 0.3945 | 0.6187 | 0.3945 | 0.6281 |
| No log | 1.2233 | 126 | 0.3762 | 0.6046 | 0.3762 | 0.6134 |
| No log | 1.2427 | 128 | 0.3544 | 0.6294 | 0.3544 | 0.5953 |
| No log | 1.2621 | 130 | 0.3503 | 0.6519 | 0.3503 | 0.5919 |
| No log | 1.2816 | 132 | 0.3703 | 0.6427 | 0.3703 | 0.6085 |
| No log | 1.3010 | 134 | 0.3943 | 0.6307 | 0.3943 | 0.6279 |
| No log | 1.3204 | 136 | 0.4105 | 0.6199 | 0.4105 | 0.6407 |
| No log | 1.3398 | 138 | 0.4646 | 0.6120 | 0.4646 | 0.6816 |
| No log | 1.3592 | 140 | 0.3965 | 0.5647 | 0.3965 | 0.6297 |
| No log | 1.3786 | 142 | 0.3822 | 0.5781 | 0.3822 | 0.6182 |
| No log | 1.3981 | 144 | 0.3842 | 0.5737 | 0.3842 | 0.6198 |
| No log | 1.4175 | 146 | 0.3808 | 0.5979 | 0.3808 | 0.6171 |
| No log | 1.4369 | 148 | 0.3781 | 0.6059 | 0.3781 | 0.6149 |
| No log | 1.4563 | 150 | 0.4288 | 0.5697 | 0.4288 | 0.6548 |
| No log | 1.4757 | 152 | 0.4318 | 0.5760 | 0.4318 | 0.6571 |
| No log | 1.4951 | 154 | 0.4122 | 0.6435 | 0.4122 | 0.6421 |
| No log | 1.5146 | 156 | 0.4308 | 0.6215 | 0.4308 | 0.6564 |
| No log | 1.5340 | 158 | 0.3755 | 0.6525 | 0.3755 | 0.6128 |
| No log | 1.5534 | 160 | 0.3755 | 0.6330 | 0.3755 | 0.6128 |
| No log | 1.5728 | 162 | 0.3923 | 0.6521 | 0.3923 | 0.6263 |
| No log | 1.5922 | 164 | 0.4072 | 0.6649 | 0.4072 | 0.6382 |
| No log | 1.6117 | 166 | 0.4683 | 0.6456 | 0.4683 | 0.6843 |
| No log | 1.6311 | 168 | 0.4517 | 0.6508 | 0.4517 | 0.6721 |
| No log | 1.6505 | 170 | 0.4004 | 0.6634 | 0.4004 | 0.6328 |
| No log | 1.6699 | 172 | 0.4210 | 0.6428 | 0.4210 | 0.6488 |
| No log | 1.6893 | 174 | 0.4103 | 0.6262 | 0.4103 | 0.6406 |
| No log | 1.7087 | 176 | 0.3723 | 0.5842 | 0.3723 | 0.6102 |
| No log | 1.7282 | 178 | 0.3854 | 0.5396 | 0.3854 | 0.6208 |
| No log | 1.7476 | 180 | 0.3911 | 0.5623 | 0.3911 | 0.6254 |
| No log | 1.7670 | 182 | 0.3765 | 0.5578 | 0.3765 | 0.6136 |
| No log | 1.7864 | 184 | 0.3699 | 0.5705 | 0.3699 | 0.6082 |
| No log | 1.8058 | 186 | 0.3606 | 0.5916 | 0.3606 | 0.6005 |
| No log | 1.8252 | 188 | 0.3528 | 0.5976 | 0.3528 | 0.5939 |
| No log | 1.8447 | 190 | 0.3681 | 0.6522 | 0.3681 | 0.6067 |
| No log | 1.8641 | 192 | 0.3805 | 0.6451 | 0.3805 | 0.6168 |
| No log | 1.8835 | 194 | 0.3568 | 0.6964 | 0.3568 | 0.5973 |
| No log | 1.9029 | 196 | 0.4559 | 0.6727 | 0.4559 | 0.6752 |
| No log | 1.9223 | 198 | 0.5688 | 0.6192 | 0.5688 | 0.7542 |
| No log | 1.9417 | 200 | 0.5431 | 0.6177 | 0.5431 | 0.7369 |
| No log | 1.9612 | 202 | 0.4325 | 0.6125 | 0.4325 | 0.6577 |
| No log | 1.9806 | 204 | 0.4298 | 0.6115 | 0.4298 | 0.6556 |
| No log | 2.0 | 206 | 0.3934 | 0.6047 | 0.3934 | 0.6272 |
| No log | 2.0194 | 208 | 0.3640 | 0.5604 | 0.3640 | 0.6033 |
| No log | 2.0388 | 210 | 0.4034 | 0.5772 | 0.4034 | 0.6351 |
| No log | 2.0583 | 212 | 0.4611 | 0.5532 | 0.4611 | 0.6790 |
| No log | 2.0777 | 214 | 0.4260 | 0.5850 | 0.4260 | 0.6527 |
| No log | 2.0971 | 216 | 0.3609 | 0.5648 | 0.3609 | 0.6007 |
| No log | 2.1165 | 218 | 0.3751 | 0.5867 | 0.3751 | 0.6124 |
| No log | 2.1359 | 220 | 0.4200 | 0.5789 | 0.4200 | 0.6481 |
| No log | 2.1553 | 222 | 0.4028 | 0.6162 | 0.4028 | 0.6347 |
| No log | 2.1748 | 224 | 0.3534 | 0.6443 | 0.3534 | 0.5945 |
| No log | 2.1942 | 226 | 0.3576 | 0.6301 | 0.3576 | 0.5980 |
| No log | 2.2136 | 228 | 0.3818 | 0.6519 | 0.3818 | 0.6179 |
| No log | 2.2330 | 230 | 0.3722 | 0.6526 | 0.3722 | 0.6101 |
| No log | 2.2524 | 232 | 0.3871 | 0.6645 | 0.3871 | 0.6222 |
| No log | 2.2718 | 234 | 0.3648 | 0.6613 | 0.3648 | 0.6040 |
| No log | 2.2913 | 236 | 0.3767 | 0.6906 | 0.3767 | 0.6138 |
| No log | 2.3107 | 238 | 0.3674 | 0.6840 | 0.3674 | 0.6061 |
| No log | 2.3301 | 240 | 0.3572 | 0.6673 | 0.3572 | 0.5977 |
| No log | 2.3495 | 242 | 0.4368 | 0.6157 | 0.4368 | 0.6609 |
| No log | 2.3689 | 244 | 0.4939 | 0.5793 | 0.4939 | 0.7028 |
| No log | 2.3883 | 246 | 0.4406 | 0.5522 | 0.4406 | 0.6638 |
| No log | 2.4078 | 248 | 0.4015 | 0.5786 | 0.4015 | 0.6336 |
| No log | 2.4272 | 250 | 0.3601 | 0.6188 | 0.3601 | 0.6001 |
| No log | 2.4466 | 252 | 0.3617 | 0.6402 | 0.3617 | 0.6014 |
| No log | 2.4660 | 254 | 0.3496 | 0.6587 | 0.3496 | 0.5913 |
| No log | 2.4854 | 256 | 0.3556 | 0.6373 | 0.3556 | 0.5963 |
| No log | 2.5049 | 258 | 0.3819 | 0.6295 | 0.3819 | 0.6180 |
| No log | 2.5243 | 260 | 0.4668 | 0.6397 | 0.4668 | 0.6832 |
| No log | 2.5437 | 262 | 0.4294 | 0.6580 | 0.4294 | 0.6553 |
| No log | 2.5631 | 264 | 0.3673 | 0.6675 | 0.3673 | 0.6060 |
| No log | 2.5825 | 266 | 0.3892 | 0.6343 | 0.3892 | 0.6239 |
| No log | 2.6019 | 268 | 0.3635 | 0.6246 | 0.3635 | 0.6029 |
| No log | 2.6214 | 270 | 0.3788 | 0.6532 | 0.3788 | 0.6154 |
| No log | 2.6408 | 272 | 0.4269 | 0.6730 | 0.4269 | 0.6534 |
| No log | 2.6602 | 274 | 0.5374 | 0.6215 | 0.5374 | 0.7331 |
| No log | 2.6796 | 276 | 0.4475 | 0.6409 | 0.4475 | 0.6689 |
| No log | 2.6990 | 278 | 0.3538 | 0.6683 | 0.3538 | 0.5948 |
| No log | 2.7184 | 280 | 0.3635 | 0.6218 | 0.3635 | 0.6029 |
| No log | 2.7379 | 282 | 0.3664 | 0.6023 | 0.3664 | 0.6053 |
| No log | 2.7573 | 284 | 0.3472 | 0.6323 | 0.3472 | 0.5893 |
| No log | 2.7767 | 286 | 0.3641 | 0.6628 | 0.3641 | 0.6034 |
| No log | 2.7961 | 288 | 0.3673 | 0.6589 | 0.3673 | 0.6061 |
| No log | 2.8155 | 290 | 0.3573 | 0.6317 | 0.3573 | 0.5977 |
| No log | 2.8350 | 292 | 0.3626 | 0.6310 | 0.3626 | 0.6022 |
| No log | 2.8544 | 294 | 0.4157 | 0.6323 | 0.4157 | 0.6448 |
| No log | 2.8738 | 296 | 0.4005 | 0.6354 | 0.4005 | 0.6328 |
| No log | 2.8932 | 298 | 0.3699 | 0.6389 | 0.3699 | 0.6082 |
| No log | 2.9126 | 300 | 0.4151 | 0.6542 | 0.4151 | 0.6443 |
| No log | 2.9320 | 302 | 0.4757 | 0.6355 | 0.4757 | 0.6897 |
| No log | 2.9515 | 304 | 0.4341 | 0.6331 | 0.4341 | 0.6588 |
| No log | 2.9709 | 306 | 0.3805 | 0.6459 | 0.3805 | 0.6168 |
| No log | 2.9903 | 308 | 0.3677 | 0.6470 | 0.3677 | 0.6064 |
| No log | 3.0097 | 310 | 0.3910 | 0.6555 | 0.3910 | 0.6253 |
| No log | 3.0291 | 312 | 0.3957 | 0.6504 | 0.3957 | 0.6290 |
| No log | 3.0485 | 314 | 0.4229 | 0.6259 | 0.4229 | 0.6503 |
| No log | 3.0680 | 316 | 0.5687 | 0.5572 | 0.5687 | 0.7541 |
| No log | 3.0874 | 318 | 0.5071 | 0.5722 | 0.5071 | 0.7121 |
| No log | 3.1068 | 320 | 0.4433 | 0.6349 | 0.4433 | 0.6658 |
| No log | 3.1262 | 322 | 0.6868 | 0.5611 | 0.6868 | 0.8288 |
| No log | 3.1456 | 324 | 0.7744 | 0.5286 | 0.7744 | 0.8800 |
| No log | 3.1650 | 326 | 0.5943 | 0.5793 | 0.5943 | 0.7709 |
| No log | 3.1845 | 328 | 0.3925 | 0.6647 | 0.3925 | 0.6265 |
| No log | 3.2039 | 330 | 0.3932 | 0.6131 | 0.3932 | 0.6271 |
| No log | 3.2233 | 332 | 0.4354 | 0.6015 | 0.4354 | 0.6598 |
| No log | 3.2427 | 334 | 0.3841 | 0.6606 | 0.3841 | 0.6198 |
| No log | 3.2621 | 336 | 0.3220 | 0.6824 | 0.3220 | 0.5675 |
| No log | 3.2816 | 338 | 0.3938 | 0.6763 | 0.3938 | 0.6275 |
| No log | 3.3010 | 340 | 0.5318 | 0.6198 | 0.5318 | 0.7293 |
| No log | 3.3204 | 342 | 0.5251 | 0.6613 | 0.5251 | 0.7246 |
| No log | 3.3398 | 344 | 0.4105 | 0.6842 | 0.4105 | 0.6407 |
| No log | 3.3592 | 346 | 0.3599 | 0.7047 | 0.3599 | 0.5999 |
| No log | 3.3786 | 348 | 0.4009 | 0.6954 | 0.4009 | 0.6332 |
| No log | 3.3981 | 350 | 0.4287 | 0.6591 | 0.4287 | 0.6547 |
| No log | 3.4175 | 352 | 0.3778 | 0.6767 | 0.3778 | 0.6147 |
| No log | 3.4369 | 354 | 0.3229 | 0.6653 | 0.3229 | 0.5683 |
| No log | 3.4563 | 356 | 0.3364 | 0.6661 | 0.3364 | 0.5800 |
| No log | 3.4757 | 358 | 0.3391 | 0.6615 | 0.3391 | 0.5824 |
| No log | 3.4951 | 360 | 0.3305 | 0.6724 | 0.3305 | 0.5749 |
| No log | 3.5146 | 362 | 0.3235 | 0.6546 | 0.3235 | 0.5688 |
| No log | 3.5340 | 364 | 0.3246 | 0.6616 | 0.3246 | 0.5698 |
| No log | 3.5534 | 366 | 0.3228 | 0.6634 | 0.3228 | 0.5681 |
| No log | 3.5728 | 368 | 0.3226 | 0.6575 | 0.3226 | 0.5680 |
| No log | 3.5922 | 370 | 0.3419 | 0.6811 | 0.3419 | 0.5847 |
| No log | 3.6117 | 372 | 0.3946 | 0.6622 | 0.3946 | 0.6282 |
| No log | 3.6311 | 374 | 0.4066 | 0.6712 | 0.4066 | 0.6377 |
| No log | 3.6505 | 376 | 0.3832 | 0.6740 | 0.3832 | 0.6191 |
| No log | 3.6699 | 378 | 0.3589 | 0.6796 | 0.3589 | 0.5991 |
| No log | 3.6893 | 380 | 0.3617 | 0.6514 | 0.3617 | 0.6014 |
| No log | 3.7087 | 382 | 0.3634 | 0.6433 | 0.3634 | 0.6028 |
| No log | 3.7282 | 384 | 0.3624 | 0.6497 | 0.3624 | 0.6020 |
| No log | 3.7476 | 386 | 0.3470 | 0.6513 | 0.3470 | 0.5891 |
| No log | 3.7670 | 388 | 0.3464 | 0.6605 | 0.3464 | 0.5885 |
| No log | 3.7864 | 390 | 0.3585 | 0.6684 | 0.3585 | 0.5988 |
| No log | 3.8058 | 392 | 0.3369 | 0.6639 | 0.3369 | 0.5804 |
| No log | 3.8252 | 394 | 0.3319 | 0.6950 | 0.3319 | 0.5761 |
| No log | 3.8447 | 396 | 0.3568 | 0.7030 | 0.3568 | 0.5973 |
| No log | 3.8641 | 398 | 0.4250 | 0.7000 | 0.4250 | 0.6519 |
| No log | 3.8835 | 400 | 0.3942 | 0.7230 | 0.3942 | 0.6278 |
| No log | 3.9029 | 402 | 0.3616 | 0.6913 | 0.3616 | 0.6013 |
| No log | 3.9223 | 404 | 0.4204 | 0.6753 | 0.4204 | 0.6484 |
| No log | 3.9417 | 406 | 0.3953 | 0.6564 | 0.3953 | 0.6287 |
| No log | 3.9612 | 408 | 0.3512 | 0.6692 | 0.3512 | 0.5927 |
| No log | 3.9806 | 410 | 0.3393 | 0.6748 | 0.3393 | 0.5825 |
| No log | 4.0 | 412 | 0.3415 | 0.6592 | 0.3415 | 0.5844 |
| No log | 4.0194 | 414 | 0.3432 | 0.6802 | 0.3432 | 0.5859 |
| No log | 4.0388 | 416 | 0.3500 | 0.6824 | 0.3500 | 0.5916 |
| No log | 4.0583 | 418 | 0.3562 | 0.7105 | 0.3562 | 0.5968 |
| No log | 4.0777 | 420 | 0.3494 | 0.6837 | 0.3494 | 0.5911 |
| No log | 4.0971 | 422 | 0.3467 | 0.6866 | 0.3467 | 0.5888 |
| No log | 4.1165 | 424 | 0.3490 | 0.6715 | 0.3490 | 0.5907 |
| No log | 4.1359 | 426 | 0.3906 | 0.6398 | 0.3906 | 0.6250 |
| No log | 4.1553 | 428 | 0.4090 | 0.6463 | 0.4090 | 0.6395 |
| No log | 4.1748 | 430 | 0.3725 | 0.6823 | 0.3725 | 0.6103 |
| No log | 4.1942 | 432 | 0.3386 | 0.6879 | 0.3386 | 0.5819 |
| No log | 4.2136 | 434 | 0.3365 | 0.7036 | 0.3365 | 0.5801 |
| No log | 4.2330 | 436 | 0.3372 | 0.6926 | 0.3372 | 0.5807 |
| No log | 4.2524 | 438 | 0.3557 | 0.6866 | 0.3557 | 0.5964 |
| No log | 4.2718 | 440 | 0.3878 | 0.6846 | 0.3878 | 0.6228 |
| No log | 4.2913 | 442 | 0.4039 | 0.6796 | 0.4039 | 0.6355 |
| No log | 4.3107 | 444 | 0.3622 | 0.7067 | 0.3622 | 0.6018 |
| No log | 4.3301 | 446 | 0.3524 | 0.6960 | 0.3524 | 0.5937 |
| No log | 4.3495 | 448 | 0.3351 | 0.6871 | 0.3351 | 0.5789 |
| No log | 4.3689 | 450 | 0.3353 | 0.6418 | 0.3353 | 0.5791 |
| No log | 4.3883 | 452 | 0.3396 | 0.6346 | 0.3396 | 0.5827 |
| No log | 4.4078 | 454 | 0.3465 | 0.6172 | 0.3465 | 0.5887 |
| No log | 4.4272 | 456 | 0.3421 | 0.5953 | 0.3421 | 0.5849 |
| No log | 4.4466 | 458 | 0.3414 | 0.5958 | 0.3414 | 0.5843 |
| No log | 4.4660 | 460 | 0.3695 | 0.6254 | 0.3695 | 0.6079 |
| No log | 4.4854 | 462 | 0.3585 | 0.6064 | 0.3585 | 0.5987 |
| No log | 4.5049 | 464 | 0.3516 | 0.6519 | 0.3516 | 0.5929 |
| No log | 4.5243 | 466 | 0.4086 | 0.6352 | 0.4086 | 0.6392 |
| No log | 4.5437 | 468 | 0.4825 | 0.5759 | 0.4825 | 0.6947 |
| No log | 4.5631 | 470 | 0.4313 | 0.6226 | 0.4313 | 0.6568 |
| No log | 4.5825 | 472 | 0.3709 | 0.6638 | 0.3709 | 0.6090 |
| No log | 4.6019 | 474 | 0.3780 | 0.6318 | 0.3780 | 0.6149 |
| No log | 4.6214 | 476 | 0.4587 | 0.6398 | 0.4587 | 0.6772 |
| No log | 4.6408 | 478 | 0.4685 | 0.6524 | 0.4685 | 0.6845 |
| No log | 4.6602 | 480 | 0.4222 | 0.6462 | 0.4222 | 0.6498 |
| No log | 4.6796 | 482 | 0.3884 | 0.6471 | 0.3884 | 0.6232 |
| No log | 4.6990 | 484 | 0.3795 | 0.6524 | 0.3795 | 0.6160 |
| No log | 4.7184 | 486 | 0.3608 | 0.6355 | 0.3608 | 0.6006 |
| No log | 4.7379 | 488 | 0.3979 | 0.6416 | 0.3979 | 0.6308 |
| No log | 4.7573 | 490 | 0.3797 | 0.6248 | 0.3797 | 0.6162 |
| No log | 4.7767 | 492 | 0.3461 | 0.6419 | 0.3461 | 0.5883 |
| No log | 4.7961 | 494 | 0.3369 | 0.6495 | 0.3369 | 0.5804 |
| No log | 4.8155 | 496 | 0.3688 | 0.6309 | 0.3688 | 0.6073 |
| No log | 4.8350 | 498 | 0.3713 | 0.6390 | 0.3713 | 0.6094 |
| 0.449 | 4.8544 | 500 | 0.3542 | 0.6511 | 0.3542 | 0.5951 |
| 0.449 | 4.8738 | 502 | 0.3527 | 0.6654 | 0.3527 | 0.5939 |
| 0.449 | 4.8932 | 504 | 0.3587 | 0.6856 | 0.3587 | 0.5989 |
| 0.449 | 4.9126 | 506 | 0.3640 | 0.6905 | 0.3640 | 0.6033 |
| 0.449 | 4.9320 | 508 | 0.3681 | 0.6746 | 0.3681 | 0.6067 |
| 0.449 | 4.9515 | 510 | 0.3511 | 0.6723 | 0.3511 | 0.5926 |
| 0.449 | 4.9709 | 512 | 0.3724 | 0.6580 | 0.3724 | 0.6103 |
| 0.449 | 4.9903 | 514 | 0.4176 | 0.6083 | 0.4176 | 0.6462 |
| 0.449 | 5.0097 | 516 | 0.3652 | 0.6710 | 0.3652 | 0.6043 |
| 0.449 | 5.0291 | 518 | 0.3431 | 0.6866 | 0.3431 | 0.5857 |
| 0.449 | 5.0485 | 520 | 0.3384 | 0.6930 | 0.3384 | 0.5817 |
| 0.449 | 5.0680 | 522 | 0.3340 | 0.6784 | 0.3340 | 0.5779 |
| 0.449 | 5.0874 | 524 | 0.3742 | 0.6595 | 0.3742 | 0.6117 |
| 0.449 | 5.1068 | 526 | 0.3992 | 0.6418 | 0.3992 | 0.6318 |
| 0.449 | 5.1262 | 528 | 0.3842 | 0.6455 | 0.3842 | 0.6199 |
| 0.449 | 5.1456 | 530 | 0.3628 | 0.6727 | 0.3628 | 0.6023 |
| 0.449 | 5.1650 | 532 | 0.3566 | 0.6847 | 0.3566 | 0.5972 |
| 0.449 | 5.1845 | 534 | 0.4049 | 0.6748 | 0.4049 | 0.6363 |
| 0.449 | 5.2039 | 536 | 0.3966 | 0.6748 | 0.3966 | 0.6298 |
| 0.449 | 5.2233 | 538 | 0.3370 | 0.6957 | 0.3370 | 0.5805 |
| 0.449 | 5.2427 | 540 | 0.3328 | 0.6848 | 0.3328 | 0.5769 |
| 0.449 | 5.2621 | 542 | 0.3288 | 0.6928 | 0.3288 | 0.5734 |
| 0.449 | 5.2816 | 544 | 0.3705 | 0.6679 | 0.3705 | 0.6087 |
| 0.449 | 5.3010 | 546 | 0.4246 | 0.6398 | 0.4246 | 0.6516 |
| 0.449 | 5.3204 | 548 | 0.4351 | 0.6514 | 0.4351 | 0.6596 |
| 0.449 | 5.3398 | 550 | 0.3864 | 0.6790 | 0.3864 | 0.6216 |
| 0.449 | 5.3592 | 552 | 0.3561 | 0.7001 | 0.3561 | 0.5967 |
| 0.449 | 5.3786 | 554 | 0.3928 | 0.6749 | 0.3928 | 0.6267 |
| 0.449 | 5.3981 | 556 | 0.3873 | 0.6833 | 0.3873 | 0.6223 |
| 0.449 | 5.4175 | 558 | 0.3584 | 0.6934 | 0.3584 | 0.5986 |
| 0.449 | 5.4369 | 560 | 0.3478 | 0.6798 | 0.3478 | 0.5897 |
| 0.449 | 5.4563 | 562 | 0.3599 | 0.6916 | 0.3599 | 0.5999 |
| 0.449 | 5.4757 | 564 | 0.4073 | 0.6693 | 0.4073 | 0.6382 |
| 0.449 | 5.4951 | 566 | 0.4892 | 0.6696 | 0.4892 | 0.6994 |
| 0.449 | 5.5146 | 568 | 0.4670 | 0.6717 | 0.4670 | 0.6834 |
| 0.449 | 5.5340 | 570 | 0.4353 | 0.6686 | 0.4353 | 0.6598 |
| 0.449 | 5.5534 | 572 | 0.4118 | 0.6569 | 0.4118 | 0.6417 |
| 0.449 | 5.5728 | 574 | 0.4022 | 0.6363 | 0.4022 | 0.6342 |
| 0.449 | 5.5922 | 576 | 0.4104 | 0.6292 | 0.4104 | 0.6406 |
| 0.449 | 5.6117 | 578 | 0.3811 | 0.6382 | 0.3811 | 0.6173 |
| 0.449 | 5.6311 | 580 | 0.3745 | 0.6169 | 0.3745 | 0.6120 |
| 0.449 | 5.6505 | 582 | 0.3815 | 0.6200 | 0.3815 | 0.6177 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
|