File size: 22,709 Bytes
5769fd3 ab3ee17 5769fd3 ab3ee17 5769fd3 ab3ee17 5769fd3 ab3ee17 5769fd3 |
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 |
---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k16_task7_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. -->
# ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k16_task7_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: 0.6515
- Qwk: 0.3615
- Mse: 0.6515
- Rmse: 0.8071
## 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 | 0.0488 | 2 | 2.4244 | -0.0646 | 2.4244 | 1.5570 |
| No log | 0.0976 | 4 | 1.0756 | 0.1941 | 1.0756 | 1.0371 |
| No log | 0.1463 | 6 | 0.9139 | -0.1462 | 0.9139 | 0.9560 |
| No log | 0.1951 | 8 | 0.8039 | 0.1184 | 0.8039 | 0.8966 |
| No log | 0.2439 | 10 | 0.7619 | 0.1184 | 0.7619 | 0.8729 |
| No log | 0.2927 | 12 | 0.7183 | 0.0481 | 0.7183 | 0.8475 |
| No log | 0.3415 | 14 | 0.7614 | 0.0937 | 0.7614 | 0.8726 |
| No log | 0.3902 | 16 | 0.7980 | 0.1372 | 0.7980 | 0.8933 |
| No log | 0.4390 | 18 | 0.9443 | 0.2381 | 0.9443 | 0.9717 |
| No log | 0.4878 | 20 | 0.8694 | 0.2526 | 0.8694 | 0.9324 |
| No log | 0.5366 | 22 | 0.7240 | 0.0481 | 0.7240 | 0.8509 |
| No log | 0.5854 | 24 | 0.7275 | 0.1561 | 0.7275 | 0.8529 |
| No log | 0.6341 | 26 | 0.8879 | 0.1822 | 0.8879 | 0.9423 |
| No log | 0.6829 | 28 | 1.0007 | 0.0338 | 1.0007 | 1.0003 |
| No log | 0.7317 | 30 | 1.1734 | -0.2407 | 1.1734 | 1.0833 |
| No log | 0.7805 | 32 | 1.2328 | -0.2346 | 1.2328 | 1.1103 |
| No log | 0.8293 | 34 | 1.0013 | 0.0 | 1.0013 | 1.0006 |
| No log | 0.8780 | 36 | 0.8515 | 0.0 | 0.8515 | 0.9227 |
| No log | 0.9268 | 38 | 0.7939 | 0.0295 | 0.7939 | 0.8910 |
| No log | 0.9756 | 40 | 0.7659 | 0.0798 | 0.7659 | 0.8751 |
| No log | 1.0244 | 42 | 0.7480 | 0.0840 | 0.7480 | 0.8649 |
| No log | 1.0732 | 44 | 0.7429 | 0.0840 | 0.7429 | 0.8619 |
| No log | 1.1220 | 46 | 0.7236 | 0.2046 | 0.7236 | 0.8506 |
| No log | 1.1707 | 48 | 0.7094 | 0.2046 | 0.7094 | 0.8423 |
| No log | 1.2195 | 50 | 0.7057 | 0.1184 | 0.7057 | 0.8401 |
| No log | 1.2683 | 52 | 0.6879 | 0.1184 | 0.6879 | 0.8294 |
| No log | 1.3171 | 54 | 0.6804 | 0.1184 | 0.6804 | 0.8249 |
| No log | 1.3659 | 56 | 0.6690 | 0.2467 | 0.6690 | 0.8179 |
| No log | 1.4146 | 58 | 0.7436 | 0.2726 | 0.7436 | 0.8623 |
| No log | 1.4634 | 60 | 0.8259 | 0.3231 | 0.8259 | 0.9088 |
| No log | 1.5122 | 62 | 0.8955 | 0.3347 | 0.8955 | 0.9463 |
| No log | 1.5610 | 64 | 0.8647 | 0.3169 | 0.8647 | 0.9299 |
| No log | 1.6098 | 66 | 0.7623 | 0.2632 | 0.7623 | 0.8731 |
| No log | 1.6585 | 68 | 0.6864 | 0.1972 | 0.6864 | 0.8285 |
| No log | 1.7073 | 70 | 0.6656 | 0.1699 | 0.6656 | 0.8158 |
| No log | 1.7561 | 72 | 0.7241 | 0.1918 | 0.7241 | 0.8509 |
| No log | 1.8049 | 74 | 0.8622 | 0.1672 | 0.8622 | 0.9285 |
| No log | 1.8537 | 76 | 0.7737 | 0.2227 | 0.7737 | 0.8796 |
| No log | 1.9024 | 78 | 0.7345 | 0.1264 | 0.7345 | 0.8570 |
| No log | 1.9512 | 80 | 0.6902 | 0.2360 | 0.6902 | 0.8308 |
| No log | 2.0 | 82 | 0.8190 | 0.3313 | 0.8190 | 0.9050 |
| No log | 2.0488 | 84 | 0.9237 | 0.3579 | 0.9237 | 0.9611 |
| No log | 2.0976 | 86 | 0.8017 | 0.2984 | 0.8017 | 0.8954 |
| No log | 2.1463 | 88 | 0.6763 | 0.3738 | 0.6763 | 0.8224 |
| No log | 2.1951 | 90 | 0.8838 | 0.3347 | 0.8838 | 0.9401 |
| No log | 2.2439 | 92 | 1.0225 | 0.3264 | 1.0225 | 1.0112 |
| No log | 2.2927 | 94 | 0.9398 | 0.3890 | 0.9398 | 0.9694 |
| No log | 2.3415 | 96 | 0.7722 | 0.3869 | 0.7722 | 0.8788 |
| No log | 2.3902 | 98 | 0.6839 | 0.2862 | 0.6839 | 0.8270 |
| No log | 2.4390 | 100 | 0.7836 | 0.3252 | 0.7836 | 0.8852 |
| No log | 2.4878 | 102 | 0.8038 | 0.3570 | 0.8038 | 0.8966 |
| No log | 2.5366 | 104 | 0.7556 | 0.3214 | 0.7556 | 0.8692 |
| No log | 2.5854 | 106 | 0.6975 | 0.3022 | 0.6975 | 0.8352 |
| No log | 2.6341 | 108 | 0.6642 | 0.2379 | 0.6642 | 0.8150 |
| No log | 2.6829 | 110 | 0.6692 | 0.3050 | 0.6692 | 0.8181 |
| No log | 2.7317 | 112 | 0.6893 | 0.3545 | 0.6893 | 0.8303 |
| No log | 2.7805 | 114 | 0.7829 | 0.3918 | 0.7829 | 0.8848 |
| No log | 2.8293 | 116 | 0.8136 | 0.3060 | 0.8136 | 0.9020 |
| No log | 2.8780 | 118 | 0.7680 | 0.2784 | 0.7680 | 0.8764 |
| No log | 2.9268 | 120 | 0.7706 | 0.2558 | 0.7706 | 0.8778 |
| No log | 2.9756 | 122 | 0.8606 | 0.1727 | 0.8606 | 0.9277 |
| No log | 3.0244 | 124 | 0.9596 | 0.1175 | 0.9596 | 0.9796 |
| No log | 3.0732 | 126 | 0.9432 | 0.2239 | 0.9432 | 0.9712 |
| No log | 3.1220 | 128 | 0.8969 | 0.2728 | 0.8969 | 0.9471 |
| No log | 3.1707 | 130 | 0.8468 | 0.3193 | 0.8468 | 0.9202 |
| No log | 3.2195 | 132 | 0.7677 | 0.3333 | 0.7677 | 0.8762 |
| No log | 3.2683 | 134 | 0.7596 | 0.3126 | 0.7596 | 0.8715 |
| No log | 3.3171 | 136 | 0.8474 | 0.2154 | 0.8474 | 0.9205 |
| No log | 3.3659 | 138 | 0.8244 | 0.1538 | 0.8244 | 0.9080 |
| No log | 3.4146 | 140 | 0.7457 | 0.2688 | 0.7457 | 0.8635 |
| No log | 3.4634 | 142 | 0.7145 | 0.3285 | 0.7145 | 0.8453 |
| No log | 3.5122 | 144 | 0.7455 | 0.2095 | 0.7455 | 0.8634 |
| No log | 3.5610 | 146 | 0.7666 | 0.2508 | 0.7666 | 0.8755 |
| No log | 3.6098 | 148 | 0.7629 | 0.2777 | 0.7629 | 0.8735 |
| No log | 3.6585 | 150 | 0.7654 | 0.2551 | 0.7654 | 0.8749 |
| No log | 3.7073 | 152 | 0.8009 | 0.2835 | 0.8009 | 0.8949 |
| No log | 3.7561 | 154 | 0.8634 | 0.3379 | 0.8634 | 0.9292 |
| No log | 3.8049 | 156 | 0.9018 | 0.3699 | 0.9018 | 0.9496 |
| No log | 3.8537 | 158 | 0.8793 | 0.3483 | 0.8793 | 0.9377 |
| No log | 3.9024 | 160 | 0.7911 | 0.3329 | 0.7911 | 0.8895 |
| No log | 3.9512 | 162 | 0.7803 | 0.3441 | 0.7803 | 0.8833 |
| No log | 4.0 | 164 | 0.7694 | 0.3299 | 0.7694 | 0.8771 |
| No log | 4.0488 | 166 | 0.7624 | 0.3209 | 0.7624 | 0.8732 |
| No log | 4.0976 | 168 | 0.7677 | 0.4329 | 0.7677 | 0.8762 |
| No log | 4.1463 | 170 | 0.8859 | 0.4080 | 0.8859 | 0.9412 |
| No log | 4.1951 | 172 | 0.9018 | 0.4080 | 0.9018 | 0.9496 |
| No log | 4.2439 | 174 | 0.7601 | 0.4624 | 0.7601 | 0.8718 |
| No log | 4.2927 | 176 | 0.6608 | 0.2813 | 0.6608 | 0.8129 |
| No log | 4.3415 | 178 | 0.6491 | 0.2872 | 0.6491 | 0.8057 |
| No log | 4.3902 | 180 | 0.6506 | 0.3088 | 0.6506 | 0.8066 |
| No log | 4.4390 | 182 | 0.6944 | 0.4350 | 0.6944 | 0.8333 |
| No log | 4.4878 | 184 | 0.6854 | 0.4112 | 0.6854 | 0.8279 |
| No log | 4.5366 | 186 | 0.7309 | 0.4880 | 0.7309 | 0.8550 |
| No log | 4.5854 | 188 | 0.7611 | 0.4947 | 0.7611 | 0.8724 |
| No log | 4.6341 | 190 | 0.7278 | 0.4741 | 0.7278 | 0.8531 |
| No log | 4.6829 | 192 | 0.7385 | 0.4531 | 0.7385 | 0.8594 |
| No log | 4.7317 | 194 | 0.7225 | 0.4239 | 0.7225 | 0.8500 |
| No log | 4.7805 | 196 | 0.7018 | 0.4315 | 0.7018 | 0.8378 |
| No log | 4.8293 | 198 | 0.6874 | 0.4513 | 0.6874 | 0.8291 |
| No log | 4.8780 | 200 | 0.6832 | 0.3996 | 0.6832 | 0.8266 |
| No log | 4.9268 | 202 | 0.6483 | 0.3865 | 0.6483 | 0.8052 |
| No log | 4.9756 | 204 | 0.6549 | 0.3308 | 0.6549 | 0.8093 |
| No log | 5.0244 | 206 | 0.7019 | 0.3331 | 0.7019 | 0.8378 |
| No log | 5.0732 | 208 | 0.7056 | 0.3146 | 0.7056 | 0.8400 |
| No log | 5.1220 | 210 | 0.6695 | 0.3070 | 0.6695 | 0.8182 |
| No log | 5.1707 | 212 | 0.7291 | 0.3972 | 0.7291 | 0.8539 |
| No log | 5.2195 | 214 | 0.8820 | 0.4328 | 0.8820 | 0.9391 |
| No log | 5.2683 | 216 | 0.8658 | 0.4080 | 0.8658 | 0.9305 |
| No log | 5.3171 | 218 | 0.7503 | 0.4624 | 0.7503 | 0.8662 |
| No log | 5.3659 | 220 | 0.6936 | 0.4224 | 0.6936 | 0.8328 |
| No log | 5.4146 | 222 | 0.6910 | 0.4224 | 0.6910 | 0.8313 |
| No log | 5.4634 | 224 | 0.7636 | 0.4624 | 0.7636 | 0.8738 |
| No log | 5.5122 | 226 | 0.7926 | 0.4624 | 0.7926 | 0.8903 |
| No log | 5.5610 | 228 | 0.7748 | 0.4624 | 0.7748 | 0.8802 |
| No log | 5.6098 | 230 | 0.7839 | 0.4541 | 0.7839 | 0.8854 |
| No log | 5.6585 | 232 | 0.6846 | 0.4409 | 0.6846 | 0.8274 |
| No log | 5.7073 | 234 | 0.6718 | 0.4371 | 0.6718 | 0.8196 |
| No log | 5.7561 | 236 | 0.6660 | 0.3841 | 0.6660 | 0.8161 |
| No log | 5.8049 | 238 | 0.6805 | 0.3867 | 0.6805 | 0.8249 |
| No log | 5.8537 | 240 | 0.6967 | 0.3918 | 0.6967 | 0.8347 |
| No log | 5.9024 | 242 | 0.6698 | 0.2847 | 0.6698 | 0.8184 |
| No log | 5.9512 | 244 | 0.6703 | 0.2950 | 0.6703 | 0.8187 |
| No log | 6.0 | 246 | 0.7193 | 0.3032 | 0.7193 | 0.8481 |
| No log | 6.0488 | 248 | 0.7296 | 0.3032 | 0.7296 | 0.8542 |
| No log | 6.0976 | 250 | 0.7178 | 0.3032 | 0.7178 | 0.8472 |
| No log | 6.1463 | 252 | 0.6747 | 0.3032 | 0.6747 | 0.8214 |
| No log | 6.1951 | 254 | 0.6799 | 0.3032 | 0.6799 | 0.8245 |
| No log | 6.2439 | 256 | 0.6715 | 0.3060 | 0.6715 | 0.8194 |
| No log | 6.2927 | 258 | 0.6858 | 0.3060 | 0.6858 | 0.8281 |
| No log | 6.3415 | 260 | 0.7136 | 0.3183 | 0.7136 | 0.8447 |
| No log | 6.3902 | 262 | 0.7412 | 0.3173 | 0.7412 | 0.8609 |
| No log | 6.4390 | 264 | 0.7469 | 0.3608 | 0.7469 | 0.8642 |
| No log | 6.4878 | 266 | 0.7555 | 0.3648 | 0.7555 | 0.8692 |
| No log | 6.5366 | 268 | 0.7573 | 0.3648 | 0.7573 | 0.8702 |
| No log | 6.5854 | 270 | 0.7666 | 0.3776 | 0.7666 | 0.8756 |
| No log | 6.6341 | 272 | 0.7334 | 0.2995 | 0.7334 | 0.8564 |
| No log | 6.6829 | 274 | 0.6799 | 0.2722 | 0.6799 | 0.8246 |
| No log | 6.7317 | 276 | 0.6918 | 0.3023 | 0.6918 | 0.8317 |
| No log | 6.7805 | 278 | 0.7701 | 0.3770 | 0.7701 | 0.8775 |
| No log | 6.8293 | 280 | 0.8116 | 0.4574 | 0.8116 | 0.9009 |
| No log | 6.8780 | 282 | 0.8679 | 0.4743 | 0.8679 | 0.9316 |
| No log | 6.9268 | 284 | 0.9342 | 0.4462 | 0.9342 | 0.9665 |
| No log | 6.9756 | 286 | 0.8604 | 0.4735 | 0.8604 | 0.9276 |
| No log | 7.0244 | 288 | 0.8096 | 0.4801 | 0.8096 | 0.8998 |
| No log | 7.0732 | 290 | 0.7354 | 0.4582 | 0.7354 | 0.8576 |
| No log | 7.1220 | 292 | 0.6854 | 0.4350 | 0.6854 | 0.8279 |
| No log | 7.1707 | 294 | 0.7246 | 0.4726 | 0.7246 | 0.8512 |
| No log | 7.2195 | 296 | 0.7518 | 0.4726 | 0.7518 | 0.8670 |
| No log | 7.2683 | 298 | 0.8397 | 0.4096 | 0.8397 | 0.9163 |
| No log | 7.3171 | 300 | 0.9643 | 0.4003 | 0.9643 | 0.9820 |
| No log | 7.3659 | 302 | 0.8827 | 0.3933 | 0.8827 | 0.9395 |
| No log | 7.4146 | 304 | 0.8587 | 0.4008 | 0.8587 | 0.9266 |
| No log | 7.4634 | 306 | 0.8979 | 0.4183 | 0.8979 | 0.9476 |
| No log | 7.5122 | 308 | 0.8333 | 0.4064 | 0.8333 | 0.9128 |
| No log | 7.5610 | 310 | 0.7320 | 0.3287 | 0.7320 | 0.8556 |
| No log | 7.6098 | 312 | 0.7017 | 0.2414 | 0.7017 | 0.8377 |
| No log | 7.6585 | 314 | 0.7109 | 0.3918 | 0.7109 | 0.8432 |
| No log | 7.7073 | 316 | 0.6965 | 0.3918 | 0.6965 | 0.8345 |
| No log | 7.7561 | 318 | 0.6792 | 0.3918 | 0.6792 | 0.8241 |
| No log | 7.8049 | 320 | 0.6509 | 0.3867 | 0.6509 | 0.8068 |
| No log | 7.8537 | 322 | 0.6336 | 0.4393 | 0.6336 | 0.7960 |
| No log | 7.9024 | 324 | 0.6462 | 0.4336 | 0.6462 | 0.8039 |
| No log | 7.9512 | 326 | 0.6523 | 0.4081 | 0.6523 | 0.8077 |
| No log | 8.0 | 328 | 0.6703 | 0.4294 | 0.6703 | 0.8187 |
| No log | 8.0488 | 330 | 0.7272 | 0.4726 | 0.7272 | 0.8527 |
| No log | 8.0976 | 332 | 0.8741 | 0.4297 | 0.8741 | 0.9349 |
| No log | 8.1463 | 334 | 0.8770 | 0.4829 | 0.8770 | 0.9365 |
| No log | 8.1951 | 336 | 0.7641 | 0.5181 | 0.7641 | 0.8741 |
| No log | 8.2439 | 338 | 0.6970 | 0.3274 | 0.6970 | 0.8349 |
| No log | 8.2927 | 340 | 0.7002 | 0.3525 | 0.7002 | 0.8368 |
| No log | 8.3415 | 342 | 0.7509 | 0.4295 | 0.7509 | 0.8665 |
| No log | 8.3902 | 344 | 0.7753 | 0.4295 | 0.7753 | 0.8805 |
| No log | 8.4390 | 346 | 0.7514 | 0.4036 | 0.7514 | 0.8668 |
| No log | 8.4878 | 348 | 0.7557 | 0.4272 | 0.7557 | 0.8693 |
| No log | 8.5366 | 350 | 0.7854 | 0.4592 | 0.7854 | 0.8862 |
| No log | 8.5854 | 352 | 0.7683 | 0.4592 | 0.7683 | 0.8765 |
| No log | 8.6341 | 354 | 0.7345 | 0.4502 | 0.7345 | 0.8570 |
| No log | 8.6829 | 356 | 0.7392 | 0.4512 | 0.7392 | 0.8597 |
| No log | 8.7317 | 358 | 0.7600 | 0.4650 | 0.7600 | 0.8718 |
| No log | 8.7805 | 360 | 0.6792 | 0.4582 | 0.6792 | 0.8241 |
| No log | 8.8293 | 362 | 0.6373 | 0.4513 | 0.6373 | 0.7983 |
| No log | 8.8780 | 364 | 0.6330 | 0.4270 | 0.6330 | 0.7956 |
| No log | 8.9268 | 366 | 0.6709 | 0.4513 | 0.6709 | 0.8191 |
| No log | 8.9756 | 368 | 0.7354 | 0.4067 | 0.7354 | 0.8575 |
| No log | 9.0244 | 370 | 0.7374 | 0.4664 | 0.7374 | 0.8587 |
| No log | 9.0732 | 372 | 0.7005 | 0.4430 | 0.7005 | 0.8370 |
| No log | 9.1220 | 374 | 0.6691 | 0.3914 | 0.6691 | 0.8180 |
| No log | 9.1707 | 376 | 0.6616 | 0.3042 | 0.6616 | 0.8134 |
| No log | 9.2195 | 378 | 0.6648 | 0.3618 | 0.6648 | 0.8153 |
| No log | 9.2683 | 380 | 0.6792 | 0.3723 | 0.6792 | 0.8241 |
| No log | 9.3171 | 382 | 0.7283 | 0.4404 | 0.7283 | 0.8534 |
| No log | 9.3659 | 384 | 0.8518 | 0.4426 | 0.8518 | 0.9229 |
| No log | 9.4146 | 386 | 0.8781 | 0.4496 | 0.8781 | 0.9370 |
| No log | 9.4634 | 388 | 0.8238 | 0.4413 | 0.8238 | 0.9076 |
| No log | 9.5122 | 390 | 0.7623 | 0.4014 | 0.7623 | 0.8731 |
| No log | 9.5610 | 392 | 0.6955 | 0.3662 | 0.6955 | 0.8339 |
| No log | 9.6098 | 394 | 0.6613 | 0.2502 | 0.6613 | 0.8132 |
| No log | 9.6585 | 396 | 0.6542 | 0.3116 | 0.6542 | 0.8088 |
| No log | 9.7073 | 398 | 0.6439 | 0.3990 | 0.6439 | 0.8025 |
| No log | 9.7561 | 400 | 0.6490 | 0.3786 | 0.6490 | 0.8056 |
| No log | 9.8049 | 402 | 0.6623 | 0.4149 | 0.6623 | 0.8138 |
| No log | 9.8537 | 404 | 0.6652 | 0.5104 | 0.6652 | 0.8156 |
| No log | 9.9024 | 406 | 0.6566 | 0.5476 | 0.6566 | 0.8103 |
| No log | 9.9512 | 408 | 0.6522 | 0.5068 | 0.6522 | 0.8076 |
| No log | 10.0 | 410 | 0.6559 | 0.5248 | 0.6559 | 0.8099 |
| No log | 10.0488 | 412 | 0.6308 | 0.5276 | 0.6308 | 0.7943 |
| No log | 10.0976 | 414 | 0.6047 | 0.5206 | 0.6047 | 0.7776 |
| No log | 10.1463 | 416 | 0.6175 | 0.5304 | 0.6175 | 0.7858 |
| No log | 10.1951 | 418 | 0.5994 | 0.4986 | 0.5994 | 0.7742 |
| No log | 10.2439 | 420 | 0.6277 | 0.4134 | 0.6277 | 0.7923 |
| No log | 10.2927 | 422 | 0.6907 | 0.4892 | 0.6907 | 0.8311 |
| No log | 10.3415 | 424 | 0.7635 | 0.4788 | 0.7635 | 0.8738 |
| No log | 10.3902 | 426 | 0.7613 | 0.4873 | 0.7613 | 0.8725 |
| No log | 10.4390 | 428 | 0.7234 | 0.4190 | 0.7234 | 0.8505 |
| No log | 10.4878 | 430 | 0.7206 | 0.4190 | 0.7206 | 0.8489 |
| No log | 10.5366 | 432 | 0.7334 | 0.4190 | 0.7334 | 0.8564 |
| No log | 10.5854 | 434 | 0.7219 | 0.4190 | 0.7219 | 0.8496 |
| No log | 10.6341 | 436 | 0.7252 | 0.4892 | 0.7252 | 0.8516 |
| No log | 10.6829 | 438 | 0.7177 | 0.4430 | 0.7177 | 0.8472 |
| No log | 10.7317 | 440 | 0.6735 | 0.4190 | 0.6735 | 0.8207 |
| No log | 10.7805 | 442 | 0.6354 | 0.4190 | 0.6354 | 0.7971 |
| No log | 10.8293 | 444 | 0.6127 | 0.3569 | 0.6127 | 0.7827 |
| No log | 10.8780 | 446 | 0.6079 | 0.3615 | 0.6079 | 0.7797 |
| No log | 10.9268 | 448 | 0.6317 | 0.4190 | 0.6317 | 0.7948 |
| No log | 10.9756 | 450 | 0.6835 | 0.3637 | 0.6835 | 0.8267 |
| No log | 11.0244 | 452 | 0.7172 | 0.4387 | 0.7172 | 0.8469 |
| No log | 11.0732 | 454 | 0.7510 | 0.4328 | 0.7510 | 0.8666 |
| No log | 11.1220 | 456 | 0.7829 | 0.4777 | 0.7829 | 0.8848 |
| No log | 11.1707 | 458 | 0.7907 | 0.4906 | 0.7907 | 0.8892 |
| No log | 11.2195 | 460 | 0.7938 | 0.4733 | 0.7938 | 0.8909 |
| No log | 11.2683 | 462 | 0.7501 | 0.4468 | 0.7501 | 0.8661 |
| No log | 11.3171 | 464 | 0.6989 | 0.2781 | 0.6989 | 0.8360 |
| No log | 11.3659 | 466 | 0.6671 | 0.2633 | 0.6671 | 0.8168 |
| No log | 11.4146 | 468 | 0.6750 | 0.2893 | 0.6750 | 0.8216 |
| No log | 11.4634 | 470 | 0.7100 | 0.4236 | 0.7100 | 0.8426 |
| No log | 11.5122 | 472 | 0.7282 | 0.3826 | 0.7282 | 0.8534 |
| No log | 11.5610 | 474 | 0.6816 | 0.3844 | 0.6816 | 0.8256 |
| No log | 11.6098 | 476 | 0.6390 | 0.3474 | 0.6390 | 0.7994 |
| No log | 11.6585 | 478 | 0.6399 | 0.3474 | 0.6399 | 0.7999 |
| No log | 11.7073 | 480 | 0.6544 | 0.1598 | 0.6544 | 0.8090 |
| No log | 11.7561 | 482 | 0.6829 | 0.3167 | 0.6829 | 0.8264 |
| No log | 11.8049 | 484 | 0.7345 | 0.4387 | 0.7345 | 0.8570 |
| No log | 11.8537 | 486 | 0.7603 | 0.4387 | 0.7603 | 0.8720 |
| No log | 11.9024 | 488 | 0.7701 | 0.4568 | 0.7701 | 0.8775 |
| No log | 11.9512 | 490 | 0.7604 | 0.4385 | 0.7604 | 0.8720 |
| No log | 12.0 | 492 | 0.6960 | 0.4522 | 0.6960 | 0.8343 |
| No log | 12.0488 | 494 | 0.6634 | 0.4294 | 0.6634 | 0.8145 |
| No log | 12.0976 | 496 | 0.6231 | 0.4134 | 0.6231 | 0.7893 |
| No log | 12.1463 | 498 | 0.6049 | 0.3937 | 0.6049 | 0.7778 |
| 0.3572 | 12.1951 | 500 | 0.6168 | 0.4074 | 0.6168 | 0.7854 |
| 0.3572 | 12.2439 | 502 | 0.6327 | 0.4802 | 0.6327 | 0.7954 |
| 0.3572 | 12.2927 | 504 | 0.6147 | 0.4548 | 0.6147 | 0.7840 |
| 0.3572 | 12.3415 | 506 | 0.5887 | 0.3786 | 0.5887 | 0.7672 |
| 0.3572 | 12.3902 | 508 | 0.5800 | 0.4190 | 0.5800 | 0.7616 |
| 0.3572 | 12.4390 | 510 | 0.6920 | 0.4644 | 0.6920 | 0.8319 |
| 0.3572 | 12.4878 | 512 | 0.7692 | 0.4080 | 0.7692 | 0.8770 |
| 0.3572 | 12.5366 | 514 | 0.7244 | 0.4482 | 0.7244 | 0.8511 |
| 0.3572 | 12.5854 | 516 | 0.6341 | 0.3615 | 0.6341 | 0.7963 |
| 0.3572 | 12.6341 | 518 | 0.6014 | 0.3253 | 0.6014 | 0.7755 |
| 0.3572 | 12.6829 | 520 | 0.5985 | 0.3551 | 0.5985 | 0.7736 |
| 0.3572 | 12.7317 | 522 | 0.6114 | 0.3572 | 0.6114 | 0.7819 |
| 0.3572 | 12.7805 | 524 | 0.6515 | 0.3615 | 0.6515 | 0.8071 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
|