File size: 23,401 Bytes
817d59d 29e5e08 817d59d 29e5e08 817d59d 29e5e08 817d59d 29e5e08 817d59d |
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 |
---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task1_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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task1_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: 1.7207
- Qwk: 0.3165
- Mse: 1.7207
- Rmse: 1.3118
## 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 | 0.0769 | 2 | 6.7951 | -0.0057 | 6.7951 | 2.6067 |
| No log | 0.1538 | 4 | 4.4769 | 0.0433 | 4.4769 | 2.1159 |
| No log | 0.2308 | 6 | 3.7117 | -0.0426 | 3.7117 | 1.9266 |
| No log | 0.3077 | 8 | 4.1086 | -0.0928 | 4.1086 | 2.0270 |
| No log | 0.3846 | 10 | 4.4629 | -0.0531 | 4.4629 | 2.1126 |
| No log | 0.4615 | 12 | 2.8130 | 0.0145 | 2.8130 | 1.6772 |
| No log | 0.5385 | 14 | 1.8421 | 0.1538 | 1.8421 | 1.3572 |
| No log | 0.6154 | 16 | 1.8548 | 0.0784 | 1.8548 | 1.3619 |
| No log | 0.6923 | 18 | 1.9939 | 0.0962 | 1.9939 | 1.4121 |
| No log | 0.7692 | 20 | 2.1927 | -0.0348 | 2.1927 | 1.4808 |
| No log | 0.8462 | 22 | 2.4397 | -0.1168 | 2.4397 | 1.5620 |
| No log | 0.9231 | 24 | 2.3850 | -0.0876 | 2.3850 | 1.5443 |
| No log | 1.0 | 26 | 2.2329 | -0.0645 | 2.2329 | 1.4943 |
| No log | 1.0769 | 28 | 2.2449 | -0.0159 | 2.2449 | 1.4983 |
| No log | 1.1538 | 30 | 2.2631 | 0.0 | 2.2631 | 1.5044 |
| No log | 1.2308 | 32 | 2.1780 | 0.1345 | 2.1780 | 1.4758 |
| No log | 1.3077 | 34 | 2.0550 | 0.2124 | 2.0550 | 1.4335 |
| No log | 1.3846 | 36 | 1.9927 | 0.1835 | 1.9927 | 1.4116 |
| No log | 1.4615 | 38 | 1.9631 | 0.1835 | 1.9631 | 1.4011 |
| No log | 1.5385 | 40 | 1.8847 | 0.2182 | 1.8847 | 1.3728 |
| No log | 1.6154 | 42 | 1.8011 | 0.2679 | 1.8011 | 1.3421 |
| No log | 1.6923 | 44 | 1.7112 | 0.2385 | 1.7112 | 1.3081 |
| No log | 1.7692 | 46 | 1.6358 | 0.2037 | 1.6358 | 1.2790 |
| No log | 1.8462 | 48 | 1.5937 | 0.1667 | 1.5937 | 1.2624 |
| No log | 1.9231 | 50 | 1.5798 | 0.1667 | 1.5798 | 1.2569 |
| No log | 2.0 | 52 | 1.4956 | 0.2202 | 1.4956 | 1.2229 |
| No log | 2.0769 | 54 | 1.4556 | 0.3063 | 1.4556 | 1.2065 |
| No log | 2.1538 | 56 | 1.4596 | 0.2655 | 1.4596 | 1.2081 |
| No log | 2.2308 | 58 | 1.4205 | 0.2759 | 1.4205 | 1.1919 |
| No log | 2.3077 | 60 | 1.3573 | 0.3025 | 1.3573 | 1.1650 |
| No log | 2.3846 | 62 | 1.3763 | 0.3248 | 1.3763 | 1.1732 |
| No log | 2.4615 | 64 | 1.8621 | 0.1636 | 1.8621 | 1.3646 |
| No log | 2.5385 | 66 | 1.9653 | 0.1468 | 1.9653 | 1.4019 |
| No log | 2.6154 | 68 | 1.7682 | 0.1468 | 1.7682 | 1.3298 |
| No log | 2.6923 | 70 | 1.4049 | 0.2609 | 1.4049 | 1.1853 |
| No log | 2.7692 | 72 | 1.4162 | 0.3740 | 1.4162 | 1.1900 |
| No log | 2.8462 | 74 | 1.4159 | 0.3740 | 1.4159 | 1.1899 |
| No log | 2.9231 | 76 | 1.3215 | 0.3761 | 1.3215 | 1.1496 |
| No log | 3.0 | 78 | 1.4685 | 0.1154 | 1.4685 | 1.2118 |
| No log | 3.0769 | 80 | 1.7251 | 0.1869 | 1.7251 | 1.3134 |
| No log | 3.1538 | 82 | 1.7651 | 0.2727 | 1.7651 | 1.3286 |
| No log | 3.2308 | 84 | 1.5141 | 0.2703 | 1.5141 | 1.2305 |
| No log | 3.3077 | 86 | 1.3037 | 0.3186 | 1.3037 | 1.1418 |
| No log | 3.3846 | 88 | 1.3035 | 0.3158 | 1.3035 | 1.1417 |
| No log | 3.4615 | 90 | 1.3707 | 0.3478 | 1.3707 | 1.1708 |
| No log | 3.5385 | 92 | 1.6799 | 0.2906 | 1.6799 | 1.2961 |
| No log | 3.6154 | 94 | 2.0216 | 0.1345 | 2.0216 | 1.4218 |
| No log | 3.6923 | 96 | 2.1826 | 0.0 | 2.1826 | 1.4774 |
| No log | 3.7692 | 98 | 1.9777 | 0.1789 | 1.9777 | 1.4063 |
| No log | 3.8462 | 100 | 1.6970 | 0.2720 | 1.6970 | 1.3027 |
| No log | 3.9231 | 102 | 1.4959 | 0.3548 | 1.4959 | 1.2231 |
| No log | 4.0 | 104 | 1.5232 | 0.3651 | 1.5232 | 1.2342 |
| No log | 4.0769 | 106 | 1.7344 | 0.2985 | 1.7344 | 1.3170 |
| No log | 4.1538 | 108 | 1.7573 | 0.2963 | 1.7573 | 1.3256 |
| No log | 4.2308 | 110 | 1.6000 | 0.3704 | 1.6000 | 1.2649 |
| No log | 4.3077 | 112 | 1.2842 | 0.4806 | 1.2842 | 1.1332 |
| No log | 4.3846 | 114 | 1.1684 | 0.4839 | 1.1684 | 1.0809 |
| No log | 4.4615 | 116 | 1.1575 | 0.496 | 1.1575 | 1.0759 |
| No log | 4.5385 | 118 | 1.3023 | 0.4923 | 1.3023 | 1.1412 |
| No log | 4.6154 | 120 | 1.5338 | 0.4030 | 1.5338 | 1.2385 |
| No log | 4.6923 | 122 | 1.5960 | 0.3704 | 1.5960 | 1.2633 |
| No log | 4.7692 | 124 | 1.5824 | 0.4 | 1.5824 | 1.2579 |
| No log | 4.8462 | 126 | 1.5952 | 0.3622 | 1.5952 | 1.2630 |
| No log | 4.9231 | 128 | 1.5358 | 0.4 | 1.5358 | 1.2393 |
| No log | 5.0 | 130 | 1.4859 | 0.3833 | 1.4859 | 1.2190 |
| No log | 5.0769 | 132 | 1.5338 | 0.3710 | 1.5338 | 1.2385 |
| No log | 5.1538 | 134 | 1.7542 | 0.2647 | 1.7542 | 1.3245 |
| No log | 5.2308 | 136 | 2.0207 | 0.2143 | 2.0207 | 1.4215 |
| No log | 5.3077 | 138 | 2.0904 | 0.2143 | 2.0904 | 1.4458 |
| No log | 5.3846 | 140 | 1.9275 | 0.2429 | 1.9275 | 1.3884 |
| No log | 5.4615 | 142 | 1.6620 | 0.352 | 1.6620 | 1.2892 |
| No log | 5.5385 | 144 | 1.4107 | 0.2632 | 1.4107 | 1.1877 |
| No log | 5.6154 | 146 | 1.4169 | 0.2301 | 1.4169 | 1.1903 |
| No log | 5.6923 | 148 | 1.4008 | 0.2957 | 1.4008 | 1.1835 |
| No log | 5.7692 | 150 | 1.5245 | 0.3390 | 1.5245 | 1.2347 |
| No log | 5.8462 | 152 | 1.8064 | 0.1832 | 1.8064 | 1.3440 |
| No log | 5.9231 | 154 | 1.9459 | 0.1818 | 1.9459 | 1.3949 |
| No log | 6.0 | 156 | 1.9912 | 0.1955 | 1.9912 | 1.4111 |
| No log | 6.0769 | 158 | 1.9502 | 0.1778 | 1.9502 | 1.3965 |
| No log | 6.1538 | 160 | 1.8532 | 0.2074 | 1.8532 | 1.3613 |
| No log | 6.2308 | 162 | 1.8072 | 0.2687 | 1.8072 | 1.3443 |
| No log | 6.3077 | 164 | 1.8532 | 0.2353 | 1.8532 | 1.3613 |
| No log | 6.3846 | 166 | 1.8543 | 0.1805 | 1.8543 | 1.3617 |
| No log | 6.4615 | 168 | 1.7415 | 0.2742 | 1.7415 | 1.3197 |
| No log | 6.5385 | 170 | 1.6579 | 0.3000 | 1.6579 | 1.2876 |
| No log | 6.6154 | 172 | 1.5659 | 0.3471 | 1.5659 | 1.2514 |
| No log | 6.6923 | 174 | 1.5015 | 0.4194 | 1.5015 | 1.2254 |
| No log | 6.7692 | 176 | 1.5471 | 0.4462 | 1.5471 | 1.2438 |
| No log | 6.8462 | 178 | 1.6884 | 0.3158 | 1.6884 | 1.2994 |
| No log | 6.9231 | 180 | 1.8473 | 0.2754 | 1.8473 | 1.3592 |
| No log | 7.0 | 182 | 2.0456 | 0.2378 | 2.0456 | 1.4302 |
| No log | 7.0769 | 184 | 2.1090 | 0.1857 | 2.1090 | 1.4522 |
| No log | 7.1538 | 186 | 2.0328 | 0.1606 | 2.0328 | 1.4258 |
| No log | 7.2308 | 188 | 1.7821 | 0.272 | 1.7821 | 1.3349 |
| No log | 7.3077 | 190 | 1.5096 | 0.3559 | 1.5096 | 1.2286 |
| No log | 7.3846 | 192 | 1.4016 | 0.4237 | 1.4016 | 1.1839 |
| No log | 7.4615 | 194 | 1.3605 | 0.3559 | 1.3605 | 1.1664 |
| No log | 7.5385 | 196 | 1.3802 | 0.4167 | 1.3802 | 1.1748 |
| No log | 7.6154 | 198 | 1.4510 | 0.4567 | 1.4510 | 1.2046 |
| No log | 7.6923 | 200 | 1.5159 | 0.4462 | 1.5159 | 1.2312 |
| No log | 7.7692 | 202 | 1.5902 | 0.4 | 1.5902 | 1.2610 |
| No log | 7.8462 | 204 | 1.5893 | 0.4 | 1.5893 | 1.2607 |
| No log | 7.9231 | 206 | 1.6442 | 0.3817 | 1.6442 | 1.2822 |
| No log | 8.0 | 208 | 1.6174 | 0.4 | 1.6174 | 1.2718 |
| No log | 8.0769 | 210 | 1.6300 | 0.4091 | 1.6300 | 1.2767 |
| No log | 8.1538 | 212 | 1.5653 | 0.4122 | 1.5653 | 1.2511 |
| No log | 8.2308 | 214 | 1.6822 | 0.3939 | 1.6822 | 1.2970 |
| No log | 8.3077 | 216 | 1.9504 | 0.2590 | 1.9504 | 1.3966 |
| No log | 8.3846 | 218 | 2.0896 | 0.2553 | 2.0896 | 1.4456 |
| No log | 8.4615 | 220 | 2.0024 | 0.2302 | 2.0024 | 1.4151 |
| No log | 8.5385 | 222 | 1.8530 | 0.2482 | 1.8530 | 1.3613 |
| No log | 8.6154 | 224 | 1.6794 | 0.3538 | 1.6794 | 1.2959 |
| No log | 8.6923 | 226 | 1.5367 | 0.4186 | 1.5367 | 1.2397 |
| No log | 8.7692 | 228 | 1.4816 | 0.4531 | 1.4816 | 1.2172 |
| No log | 8.8462 | 230 | 1.5195 | 0.4308 | 1.5195 | 1.2327 |
| No log | 8.9231 | 232 | 1.6772 | 0.3759 | 1.6772 | 1.2951 |
| No log | 9.0 | 234 | 1.9357 | 0.2817 | 1.9357 | 1.3913 |
| No log | 9.0769 | 236 | 2.0415 | 0.2500 | 2.0415 | 1.4288 |
| No log | 9.1538 | 238 | 1.9695 | 0.2676 | 1.9695 | 1.4034 |
| No log | 9.2308 | 240 | 1.8010 | 0.3022 | 1.8010 | 1.3420 |
| No log | 9.3077 | 242 | 1.7088 | 0.3188 | 1.7088 | 1.3072 |
| No log | 9.3846 | 244 | 1.6934 | 0.3188 | 1.6934 | 1.3013 |
| No log | 9.4615 | 246 | 1.7611 | 0.3022 | 1.7611 | 1.3271 |
| No log | 9.5385 | 248 | 1.7970 | 0.2857 | 1.7970 | 1.3405 |
| No log | 9.6154 | 250 | 1.7825 | 0.2857 | 1.7825 | 1.3351 |
| No log | 9.6923 | 252 | 1.6866 | 0.3358 | 1.6866 | 1.2987 |
| No log | 9.7692 | 254 | 1.6224 | 0.4060 | 1.6224 | 1.2738 |
| No log | 9.8462 | 256 | 1.5681 | 0.3939 | 1.5681 | 1.2522 |
| No log | 9.9231 | 258 | 1.5307 | 0.4060 | 1.5307 | 1.2372 |
| No log | 10.0 | 260 | 1.5546 | 0.4030 | 1.5546 | 1.2468 |
| No log | 10.0769 | 262 | 1.5831 | 0.3676 | 1.5831 | 1.2582 |
| No log | 10.1538 | 264 | 1.5270 | 0.4 | 1.5270 | 1.2357 |
| No log | 10.2308 | 266 | 1.4634 | 0.4179 | 1.4634 | 1.2097 |
| No log | 10.3077 | 268 | 1.4387 | 0.4394 | 1.4387 | 1.1995 |
| No log | 10.3846 | 270 | 1.5450 | 0.3731 | 1.5450 | 1.2430 |
| No log | 10.4615 | 272 | 1.8087 | 0.3358 | 1.8087 | 1.3449 |
| No log | 10.5385 | 274 | 1.8690 | 0.3088 | 1.8690 | 1.3671 |
| No log | 10.6154 | 276 | 1.8088 | 0.3259 | 1.8088 | 1.3449 |
| No log | 10.6923 | 278 | 1.6344 | 0.3556 | 1.6344 | 1.2784 |
| No log | 10.7692 | 280 | 1.5576 | 0.3636 | 1.5576 | 1.2480 |
| No log | 10.8462 | 282 | 1.4276 | 0.4462 | 1.4276 | 1.1948 |
| No log | 10.9231 | 284 | 1.3497 | 0.5 | 1.3497 | 1.1618 |
| No log | 11.0 | 286 | 1.3712 | 0.4688 | 1.3712 | 1.1710 |
| No log | 11.0769 | 288 | 1.4553 | 0.4427 | 1.4553 | 1.2064 |
| No log | 11.1538 | 290 | 1.4577 | 0.4427 | 1.4577 | 1.2074 |
| No log | 11.2308 | 292 | 1.4639 | 0.4615 | 1.4639 | 1.2099 |
| No log | 11.3077 | 294 | 1.5045 | 0.4394 | 1.5045 | 1.2266 |
| No log | 11.3846 | 296 | 1.4810 | 0.4122 | 1.4810 | 1.2170 |
| No log | 11.4615 | 298 | 1.5175 | 0.4122 | 1.5175 | 1.2319 |
| No log | 11.5385 | 300 | 1.5313 | 0.4122 | 1.5313 | 1.2374 |
| No log | 11.6154 | 302 | 1.5744 | 0.3810 | 1.5744 | 1.2547 |
| No log | 11.6923 | 304 | 1.5777 | 0.3770 | 1.5777 | 1.2561 |
| No log | 11.7692 | 306 | 1.5684 | 0.4062 | 1.5684 | 1.2524 |
| No log | 11.8462 | 308 | 1.5405 | 0.3939 | 1.5405 | 1.2412 |
| No log | 11.9231 | 310 | 1.5117 | 0.4 | 1.5117 | 1.2295 |
| No log | 12.0 | 312 | 1.5376 | 0.4088 | 1.5376 | 1.2400 |
| No log | 12.0769 | 314 | 1.5276 | 0.4058 | 1.5276 | 1.2360 |
| No log | 12.1538 | 316 | 1.4294 | 0.4444 | 1.4294 | 1.1956 |
| No log | 12.2308 | 318 | 1.3818 | 0.4603 | 1.3818 | 1.1755 |
| No log | 12.3077 | 320 | 1.3833 | 0.4194 | 1.3833 | 1.1762 |
| No log | 12.3846 | 322 | 1.4441 | 0.4186 | 1.4441 | 1.2017 |
| No log | 12.4615 | 324 | 1.6153 | 0.3504 | 1.6153 | 1.2710 |
| No log | 12.5385 | 326 | 1.8049 | 0.3022 | 1.8049 | 1.3435 |
| No log | 12.6154 | 328 | 1.8551 | 0.3022 | 1.8551 | 1.3620 |
| No log | 12.6923 | 330 | 1.7641 | 0.3333 | 1.7641 | 1.3282 |
| No log | 12.7692 | 332 | 1.6214 | 0.3817 | 1.6214 | 1.2733 |
| No log | 12.8462 | 334 | 1.5815 | 0.3876 | 1.5815 | 1.2576 |
| No log | 12.9231 | 336 | 1.5732 | 0.3876 | 1.5732 | 1.2543 |
| No log | 13.0 | 338 | 1.6407 | 0.3511 | 1.6407 | 1.2809 |
| No log | 13.0769 | 340 | 1.6590 | 0.3333 | 1.6590 | 1.2880 |
| No log | 13.1538 | 342 | 1.6521 | 0.3511 | 1.6521 | 1.2853 |
| No log | 13.2308 | 344 | 1.5713 | 0.3876 | 1.5713 | 1.2535 |
| No log | 13.3077 | 346 | 1.4851 | 0.4375 | 1.4851 | 1.2187 |
| No log | 13.3846 | 348 | 1.4184 | 0.4603 | 1.4184 | 1.1910 |
| No log | 13.4615 | 350 | 1.3683 | 0.4724 | 1.3683 | 1.1698 |
| No log | 13.5385 | 352 | 1.3400 | 0.4733 | 1.3400 | 1.1576 |
| No log | 13.6154 | 354 | 1.3224 | 0.5 | 1.3224 | 1.1499 |
| No log | 13.6923 | 356 | 1.2938 | 0.5 | 1.2938 | 1.1374 |
| No log | 13.7692 | 358 | 1.4060 | 0.4511 | 1.4060 | 1.1857 |
| No log | 13.8462 | 360 | 1.6478 | 0.3188 | 1.6478 | 1.2837 |
| No log | 13.9231 | 362 | 1.7950 | 0.2370 | 1.7950 | 1.3398 |
| No log | 14.0 | 364 | 1.8001 | 0.2090 | 1.8001 | 1.3417 |
| No log | 14.0769 | 366 | 1.6469 | 0.3556 | 1.6469 | 1.2833 |
| No log | 14.1538 | 368 | 1.5918 | 0.3731 | 1.5918 | 1.2617 |
| No log | 14.2308 | 370 | 1.5664 | 0.3731 | 1.5664 | 1.2516 |
| No log | 14.3077 | 372 | 1.5156 | 0.3906 | 1.5156 | 1.2311 |
| No log | 14.3846 | 374 | 1.5134 | 0.3780 | 1.5134 | 1.2302 |
| No log | 14.4615 | 376 | 1.5294 | 0.3780 | 1.5294 | 1.2367 |
| No log | 14.5385 | 378 | 1.5080 | 0.4252 | 1.5080 | 1.2280 |
| No log | 14.6154 | 380 | 1.5835 | 0.3359 | 1.5835 | 1.2584 |
| No log | 14.6923 | 382 | 1.6268 | 0.3556 | 1.6268 | 1.2755 |
| No log | 14.7692 | 384 | 1.6263 | 0.3333 | 1.6263 | 1.2753 |
| No log | 14.8462 | 386 | 1.7212 | 0.3000 | 1.7212 | 1.3119 |
| No log | 14.9231 | 388 | 1.7367 | 0.3000 | 1.7367 | 1.3178 |
| No log | 15.0 | 390 | 1.7626 | 0.2734 | 1.7626 | 1.3276 |
| No log | 15.0769 | 392 | 1.7167 | 0.2734 | 1.7167 | 1.3102 |
| No log | 15.1538 | 394 | 1.6410 | 0.3308 | 1.6410 | 1.2810 |
| No log | 15.2308 | 396 | 1.5832 | 0.3609 | 1.5832 | 1.2583 |
| No log | 15.3077 | 398 | 1.5133 | 0.3692 | 1.5133 | 1.2302 |
| No log | 15.3846 | 400 | 1.5177 | 0.375 | 1.5177 | 1.2320 |
| No log | 15.4615 | 402 | 1.5438 | 0.3664 | 1.5438 | 1.2425 |
| No log | 15.5385 | 404 | 1.6691 | 0.3088 | 1.6691 | 1.2919 |
| No log | 15.6154 | 406 | 1.7781 | 0.2286 | 1.7781 | 1.3334 |
| No log | 15.6923 | 408 | 1.8601 | 0.2553 | 1.8601 | 1.3639 |
| No log | 15.7692 | 410 | 1.8058 | 0.2553 | 1.8058 | 1.3438 |
| No log | 15.8462 | 412 | 1.7396 | 0.2714 | 1.7395 | 1.3189 |
| No log | 15.9231 | 414 | 1.6854 | 0.3066 | 1.6854 | 1.2982 |
| No log | 16.0 | 416 | 1.6903 | 0.3235 | 1.6903 | 1.3001 |
| No log | 16.0769 | 418 | 1.7343 | 0.3066 | 1.7343 | 1.3169 |
| No log | 16.1538 | 420 | 1.7627 | 0.3066 | 1.7627 | 1.3277 |
| No log | 16.2308 | 422 | 1.6962 | 0.3382 | 1.6962 | 1.3024 |
| No log | 16.3077 | 424 | 1.5890 | 0.4 | 1.5890 | 1.2606 |
| No log | 16.3846 | 426 | 1.5198 | 0.4186 | 1.5198 | 1.2328 |
| No log | 16.4615 | 428 | 1.4958 | 0.4186 | 1.4958 | 1.2230 |
| No log | 16.5385 | 430 | 1.5162 | 0.4154 | 1.5162 | 1.2313 |
| No log | 16.6154 | 432 | 1.5406 | 0.4211 | 1.5406 | 1.2412 |
| No log | 16.6923 | 434 | 1.5323 | 0.4211 | 1.5323 | 1.2379 |
| No log | 16.7692 | 436 | 1.4958 | 0.4394 | 1.4958 | 1.2230 |
| No log | 16.8462 | 438 | 1.4198 | 0.4154 | 1.4198 | 1.1916 |
| No log | 16.9231 | 440 | 1.3761 | 0.4154 | 1.3761 | 1.1731 |
| No log | 17.0 | 442 | 1.4076 | 0.4154 | 1.4076 | 1.1864 |
| No log | 17.0769 | 444 | 1.4353 | 0.3876 | 1.4353 | 1.1981 |
| No log | 17.1538 | 446 | 1.4714 | 0.375 | 1.4714 | 1.2130 |
| No log | 17.2308 | 448 | 1.4673 | 0.3492 | 1.4673 | 1.2113 |
| No log | 17.3077 | 450 | 1.5005 | 0.352 | 1.5005 | 1.2250 |
| No log | 17.3846 | 452 | 1.5246 | 0.4098 | 1.5246 | 1.2347 |
| No log | 17.4615 | 454 | 1.5720 | 0.4 | 1.5720 | 1.2538 |
| No log | 17.5385 | 456 | 1.6316 | 0.3876 | 1.6316 | 1.2774 |
| No log | 17.6154 | 458 | 1.6059 | 0.4122 | 1.6059 | 1.2672 |
| No log | 17.6923 | 460 | 1.5324 | 0.4275 | 1.5324 | 1.2379 |
| No log | 17.7692 | 462 | 1.4959 | 0.4275 | 1.4959 | 1.2231 |
| No log | 17.8462 | 464 | 1.4729 | 0.4275 | 1.4729 | 1.2136 |
| No log | 17.9231 | 466 | 1.5584 | 0.4394 | 1.5584 | 1.2484 |
| No log | 18.0 | 468 | 1.6872 | 0.3582 | 1.6872 | 1.2989 |
| No log | 18.0769 | 470 | 1.6779 | 0.3582 | 1.6779 | 1.2954 |
| No log | 18.1538 | 472 | 1.6077 | 0.4122 | 1.6077 | 1.2679 |
| No log | 18.2308 | 474 | 1.5076 | 0.4122 | 1.5076 | 1.2278 |
| No log | 18.3077 | 476 | 1.5260 | 0.4122 | 1.5260 | 1.2353 |
| No log | 18.3846 | 478 | 1.6072 | 0.3759 | 1.6072 | 1.2678 |
| No log | 18.4615 | 480 | 1.6947 | 0.3382 | 1.6947 | 1.3018 |
| No log | 18.5385 | 482 | 1.7472 | 0.3358 | 1.7472 | 1.3218 |
| No log | 18.6154 | 484 | 1.7303 | 0.3358 | 1.7303 | 1.3154 |
| No log | 18.6923 | 486 | 1.7003 | 0.3704 | 1.7003 | 1.3039 |
| No log | 18.7692 | 488 | 1.6986 | 0.3704 | 1.6986 | 1.3033 |
| No log | 18.8462 | 490 | 1.6898 | 0.3704 | 1.6898 | 1.2999 |
| No log | 18.9231 | 492 | 1.7086 | 0.4091 | 1.7086 | 1.3071 |
| No log | 19.0 | 494 | 1.7077 | 0.3969 | 1.7077 | 1.3068 |
| No log | 19.0769 | 496 | 1.6524 | 0.3969 | 1.6524 | 1.2855 |
| No log | 19.1538 | 498 | 1.6776 | 0.3910 | 1.6776 | 1.2952 |
| 0.4168 | 19.2308 | 500 | 1.7301 | 0.3212 | 1.7301 | 1.3154 |
| 0.4168 | 19.3077 | 502 | 1.7476 | 0.3212 | 1.7476 | 1.3220 |
| 0.4168 | 19.3846 | 504 | 1.7753 | 0.3188 | 1.7753 | 1.3324 |
| 0.4168 | 19.4615 | 506 | 1.7454 | 0.3358 | 1.7454 | 1.3211 |
| 0.4168 | 19.5385 | 508 | 1.6025 | 0.3939 | 1.6025 | 1.2659 |
| 0.4168 | 19.6154 | 510 | 1.5320 | 0.4122 | 1.5320 | 1.2377 |
| 0.4168 | 19.6923 | 512 | 1.5285 | 0.4122 | 1.5285 | 1.2363 |
| 0.4168 | 19.7692 | 514 | 1.5346 | 0.4091 | 1.5346 | 1.2388 |
| 0.4168 | 19.8462 | 516 | 1.4484 | 0.4122 | 1.4484 | 1.2035 |
| 0.4168 | 19.9231 | 518 | 1.4277 | 0.4122 | 1.4277 | 1.1949 |
| 0.4168 | 20.0 | 520 | 1.4447 | 0.4122 | 1.4447 | 1.2020 |
| 0.4168 | 20.0769 | 522 | 1.4327 | 0.4662 | 1.4327 | 1.1970 |
| 0.4168 | 20.1538 | 524 | 1.4076 | 0.4662 | 1.4076 | 1.1864 |
| 0.4168 | 20.2308 | 526 | 1.4135 | 0.4662 | 1.4135 | 1.1889 |
| 0.4168 | 20.3077 | 528 | 1.4424 | 0.4394 | 1.4424 | 1.2010 |
| 0.4168 | 20.3846 | 530 | 1.5516 | 0.4091 | 1.5516 | 1.2456 |
| 0.4168 | 20.4615 | 532 | 1.7237 | 0.3088 | 1.7237 | 1.3129 |
| 0.4168 | 20.5385 | 534 | 1.8376 | 0.2714 | 1.8376 | 1.3556 |
| 0.4168 | 20.6154 | 536 | 1.8741 | 0.2714 | 1.8741 | 1.3690 |
| 0.4168 | 20.6923 | 538 | 1.8297 | 0.2734 | 1.8297 | 1.3527 |
| 0.4168 | 20.7692 | 540 | 1.7207 | 0.3165 | 1.7207 | 1.3118 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
|