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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-custom-functions-dataset-python
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. -->
# distilgpt2-custom-functions-dataset-python
This model is a fine-tuned version of [distilgpt2](https://huggingface.co./distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0449
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2459 | 0.02 | 1 | 2.9042 |
| 3.145 | 0.05 | 2 | 2.7960 |
| 3.152 | 0.07 | 3 | 2.7130 |
| 2.8803 | 0.09 | 4 | 2.6500 |
| 3.0041 | 0.12 | 5 | 2.5872 |
| 2.9888 | 0.14 | 6 | 2.5306 |
| 2.8988 | 0.16 | 7 | 2.4758 |
| 2.8324 | 0.19 | 8 | 2.4277 |
| 2.7391 | 0.21 | 9 | 2.3884 |
| 2.5464 | 0.23 | 10 | 2.3563 |
| 2.7032 | 0.26 | 11 | 2.3296 |
| 2.5574 | 0.28 | 12 | 2.2887 |
| 2.4388 | 0.3 | 13 | 2.2435 |
| 2.4412 | 0.33 | 14 | 2.2067 |
| 2.5202 | 0.35 | 15 | 2.1748 |
| 2.539 | 0.37 | 16 | 2.1492 |
| 2.3816 | 0.4 | 17 | 2.1224 |
| 2.2194 | 0.42 | 18 | 2.0913 |
| 2.3143 | 0.44 | 19 | 2.0629 |
| 2.4338 | 0.47 | 20 | 2.0381 |
| 2.2438 | 0.49 | 21 | 2.0147 |
| 2.2331 | 0.51 | 22 | 1.9929 |
| 2.3193 | 0.53 | 23 | 1.9737 |
| 2.4079 | 0.56 | 24 | 1.9516 |
| 2.0871 | 0.58 | 25 | 1.9325 |
| 2.0421 | 0.6 | 26 | 1.9131 |
| 2.0962 | 0.63 | 27 | 1.8915 |
| 2.2952 | 0.65 | 28 | 1.8700 |
| 2.0131 | 0.67 | 29 | 1.8527 |
| 2.0945 | 0.7 | 30 | 1.8395 |
| 2.0249 | 0.72 | 31 | 1.8241 |
| 1.7714 | 0.74 | 32 | 1.8035 |
| 2.1155 | 0.77 | 33 | 1.7834 |
| 2.0701 | 0.79 | 34 | 1.7706 |
| 2.1761 | 0.81 | 35 | 1.7681 |
| 2.024 | 0.84 | 36 | 1.7678 |
| 2.0026 | 0.86 | 37 | 1.7592 |
| 1.9519 | 0.88 | 38 | 1.7403 |
| 2.0078 | 0.91 | 39 | 1.7192 |
| 2.0886 | 0.93 | 40 | 1.7038 |
| 1.9394 | 0.95 | 41 | 1.6932 |
| 1.9368 | 0.98 | 42 | 1.6838 |
| 1.9336 | 1.0 | 43 | 1.6746 |
| 1.9114 | 1.02 | 44 | 1.6668 |
| 1.6817 | 1.05 | 45 | 1.6600 |
| 1.7199 | 1.07 | 46 | 1.6530 |
| 2.1471 | 1.09 | 47 | 1.6443 |
| 1.876 | 1.12 | 48 | 1.6326 |
| 2.0242 | 1.14 | 49 | 1.6220 |
| 1.7853 | 1.16 | 50 | 1.6124 |
| 1.8848 | 1.19 | 51 | 1.6044 |
| 1.9169 | 1.21 | 52 | 1.5957 |
| 1.8757 | 1.23 | 53 | 1.5863 |
| 1.7563 | 1.26 | 54 | 1.5776 |
| 1.8712 | 1.28 | 55 | 1.5684 |
| 1.5925 | 1.3 | 56 | 1.5592 |
| 1.8532 | 1.33 | 57 | 1.5499 |
| 1.8703 | 1.35 | 58 | 1.5420 |
| 1.8791 | 1.37 | 59 | 1.5394 |
| 1.7589 | 1.4 | 60 | 1.5366 |
| 1.7686 | 1.42 | 61 | 1.5292 |
| 1.7732 | 1.44 | 62 | 1.5185 |
| 1.7275 | 1.47 | 63 | 1.5062 |
| 1.5971 | 1.49 | 64 | 1.4932 |
| 1.8588 | 1.51 | 65 | 1.4846 |
| 1.7586 | 1.53 | 66 | 1.4779 |
| 1.6546 | 1.56 | 67 | 1.4715 |
| 1.7612 | 1.58 | 68 | 1.4659 |
| 1.8496 | 1.6 | 69 | 1.4611 |
| 1.7064 | 1.63 | 70 | 1.4560 |
| 1.7603 | 1.65 | 71 | 1.4510 |
| 1.8635 | 1.67 | 72 | 1.4483 |
| 1.6867 | 1.7 | 73 | 1.4458 |
| 1.7442 | 1.72 | 74 | 1.4410 |
| 1.6289 | 1.74 | 75 | 1.4360 |
| 1.6314 | 1.77 | 76 | 1.4298 |
| 1.7503 | 1.79 | 77 | 1.4234 |
| 1.8372 | 1.81 | 78 | 1.4191 |
| 1.6873 | 1.84 | 79 | 1.4144 |
| 1.5076 | 1.86 | 80 | 1.4099 |
| 1.6742 | 1.88 | 81 | 1.4053 |
| 1.7419 | 1.91 | 82 | 1.4014 |
| 1.7564 | 1.93 | 83 | 1.3965 |
| 1.6603 | 1.95 | 84 | 1.3927 |
| 1.5957 | 1.98 | 85 | 1.3890 |
| 1.5423 | 2.0 | 86 | 1.3843 |
| 1.8173 | 2.02 | 87 | 1.3799 |
| 1.6287 | 2.05 | 88 | 1.3760 |
| 1.5382 | 2.07 | 89 | 1.3733 |
| 1.7807 | 2.09 | 90 | 1.3720 |
| 1.4352 | 2.12 | 91 | 1.3698 |
| 1.6497 | 2.14 | 92 | 1.3691 |
| 1.5239 | 2.16 | 93 | 1.3673 |
| 1.5729 | 2.19 | 94 | 1.3659 |
| 1.601 | 2.21 | 95 | 1.3638 |
| 1.5532 | 2.23 | 96 | 1.3605 |
| 1.6227 | 2.26 | 97 | 1.3579 |
| 1.4461 | 2.28 | 98 | 1.3540 |
| 1.6625 | 2.3 | 99 | 1.3497 |
| 1.4653 | 2.33 | 100 | 1.3454 |
| 1.5603 | 2.35 | 101 | 1.3407 |
| 1.6055 | 2.37 | 102 | 1.3369 |
| 1.688 | 2.4 | 103 | 1.3339 |
| 1.6214 | 2.42 | 104 | 1.3329 |
| 1.6715 | 2.44 | 105 | 1.3312 |
| 1.4717 | 2.47 | 106 | 1.3275 |
| 1.6041 | 2.49 | 107 | 1.3241 |
| 1.3908 | 2.51 | 108 | 1.3196 |
| 1.4255 | 2.53 | 109 | 1.3160 |
| 1.6491 | 2.56 | 110 | 1.3138 |
| 1.4839 | 2.58 | 111 | 1.3117 |
| 1.6332 | 2.6 | 112 | 1.3103 |
| 1.5875 | 2.63 | 113 | 1.3095 |
| 1.6515 | 2.65 | 114 | 1.3085 |
| 1.5876 | 2.67 | 115 | 1.3047 |
| 1.571 | 2.7 | 116 | 1.2994 |
| 1.5104 | 2.72 | 117 | 1.2942 |
| 1.5415 | 2.74 | 118 | 1.2912 |
| 1.5497 | 2.77 | 119 | 1.2890 |
| 1.4377 | 2.79 | 120 | 1.2866 |
| 1.6653 | 2.81 | 121 | 1.2837 |
| 1.8368 | 2.84 | 122 | 1.2820 |
| 1.3668 | 2.86 | 123 | 1.2807 |
| 1.5136 | 2.88 | 124 | 1.2790 |
| 1.4872 | 2.91 | 125 | 1.2770 |
| 1.5815 | 2.93 | 126 | 1.2747 |
| 1.5128 | 2.95 | 127 | 1.2733 |
| 1.6116 | 2.98 | 128 | 1.2718 |
| 1.1527 | 3.0 | 129 | 1.2696 |
| 1.7834 | 3.02 | 130 | 1.2659 |
| 1.4598 | 3.05 | 131 | 1.2609 |
| 1.3641 | 3.07 | 132 | 1.2572 |
| 1.3965 | 3.09 | 133 | 1.2533 |
| 1.5373 | 3.12 | 134 | 1.2502 |
| 1.5436 | 3.14 | 135 | 1.2475 |
| 1.4855 | 3.16 | 136 | 1.2462 |
| 1.4651 | 3.19 | 137 | 1.2450 |
| 1.5451 | 3.21 | 138 | 1.2424 |
| 1.371 | 3.23 | 139 | 1.2399 |
| 1.494 | 3.26 | 140 | 1.2363 |
| 1.4795 | 3.28 | 141 | 1.2334 |
| 1.4884 | 3.3 | 142 | 1.2316 |
| 1.3325 | 3.33 | 143 | 1.2296 |
| 1.4838 | 3.35 | 144 | 1.2270 |
| 1.6316 | 3.37 | 145 | 1.2246 |
| 1.7781 | 3.4 | 146 | 1.2223 |
| 1.5818 | 3.42 | 147 | 1.2199 |
| 1.3451 | 3.44 | 148 | 1.2181 |
| 1.3948 | 3.47 | 149 | 1.2159 |
| 1.3582 | 3.49 | 150 | 1.2141 |
| 1.308 | 3.51 | 151 | 1.2128 |
| 1.5047 | 3.53 | 152 | 1.2115 |
| 1.5315 | 3.56 | 153 | 1.2111 |
| 1.292 | 3.58 | 154 | 1.2100 |
| 1.3923 | 3.6 | 155 | 1.2087 |
| 1.4429 | 3.63 | 156 | 1.2072 |
| 1.4175 | 3.65 | 157 | 1.2053 |
| 1.2825 | 3.67 | 158 | 1.2027 |
| 1.6203 | 3.7 | 159 | 1.2009 |
| 1.3873 | 3.72 | 160 | 1.1996 |
| 1.3914 | 3.74 | 161 | 1.1979 |
| 1.397 | 3.77 | 162 | 1.1965 |
| 1.3203 | 3.79 | 163 | 1.1955 |
| 1.3472 | 3.81 | 164 | 1.1944 |
| 1.4608 | 3.84 | 165 | 1.1924 |
| 1.5623 | 3.86 | 166 | 1.1910 |
| 1.3188 | 3.88 | 167 | 1.1899 |
| 1.5339 | 3.91 | 168 | 1.1891 |
| 1.2599 | 3.93 | 169 | 1.1891 |
| 1.4341 | 3.95 | 170 | 1.1896 |
| 1.5623 | 3.98 | 171 | 1.1902 |
| 1.4875 | 4.0 | 172 | 1.1911 |
| 1.4397 | 4.02 | 173 | 1.1928 |
| 1.3585 | 4.05 | 174 | 1.1952 |
| 1.5946 | 4.07 | 175 | 1.1954 |
| 1.2969 | 4.09 | 176 | 1.1936 |
| 1.4746 | 4.12 | 177 | 1.1905 |
| 1.2995 | 4.14 | 178 | 1.1869 |
| 1.3867 | 4.16 | 179 | 1.1837 |
| 1.3056 | 4.19 | 180 | 1.1811 |
| 1.4109 | 4.21 | 181 | 1.1792 |
| 1.3159 | 4.23 | 182 | 1.1778 |
| 1.5643 | 4.26 | 183 | 1.1758 |
| 1.565 | 4.28 | 184 | 1.1742 |
| 1.3642 | 4.3 | 185 | 1.1725 |
| 1.2332 | 4.33 | 186 | 1.1713 |
| 1.4746 | 4.35 | 187 | 1.1706 |
| 1.6079 | 4.37 | 188 | 1.1706 |
| 1.4417 | 4.4 | 189 | 1.1710 |
| 1.5759 | 4.42 | 190 | 1.1716 |
| 1.4531 | 4.44 | 191 | 1.1730 |
| 1.1457 | 4.47 | 192 | 1.1725 |
| 1.3571 | 4.49 | 193 | 1.1699 |
| 1.3083 | 4.51 | 194 | 1.1667 |
| 1.4778 | 4.53 | 195 | 1.1629 |
| 1.4744 | 4.56 | 196 | 1.1596 |
| 1.3267 | 4.58 | 197 | 1.1576 |
| 1.3062 | 4.6 | 198 | 1.1559 |
| 1.4942 | 4.63 | 199 | 1.1541 |
| 1.3481 | 4.65 | 200 | 1.1523 |
| 1.336 | 4.67 | 201 | 1.1504 |
| 1.178 | 4.7 | 202 | 1.1484 |
| 1.4255 | 4.72 | 203 | 1.1470 |
| 1.2686 | 4.74 | 204 | 1.1463 |
| 1.2701 | 4.77 | 205 | 1.1462 |
| 1.4147 | 4.79 | 206 | 1.1471 |
| 1.1865 | 4.81 | 207 | 1.1472 |
| 1.6298 | 4.84 | 208 | 1.1466 |
| 1.4168 | 4.86 | 209 | 1.1448 |
| 1.2948 | 4.88 | 210 | 1.1428 |
| 1.3592 | 4.91 | 211 | 1.1403 |
| 1.1308 | 4.93 | 212 | 1.1380 |
| 1.4951 | 4.95 | 213 | 1.1365 |
| 1.2861 | 4.98 | 214 | 1.1356 |
| 1.5495 | 5.0 | 215 | 1.1353 |
| 1.3874 | 5.02 | 216 | 1.1352 |
| 1.4681 | 5.05 | 217 | 1.1352 |
| 1.3233 | 5.07 | 218 | 1.1348 |
| 1.3016 | 5.09 | 219 | 1.1342 |
| 1.1397 | 5.12 | 220 | 1.1336 |
| 1.4272 | 5.14 | 221 | 1.1335 |
| 1.2665 | 5.16 | 222 | 1.1340 |
| 1.3082 | 5.19 | 223 | 1.1344 |
| 1.3535 | 5.21 | 224 | 1.1344 |
| 1.3061 | 5.23 | 225 | 1.1335 |
| 1.6763 | 5.26 | 226 | 1.1323 |
| 1.364 | 5.28 | 227 | 1.1309 |
| 1.3174 | 5.3 | 228 | 1.1295 |
| 1.392 | 5.33 | 229 | 1.1283 |
| 1.2964 | 5.35 | 230 | 1.1268 |
| 1.4763 | 5.37 | 231 | 1.1254 |
| 1.5131 | 5.4 | 232 | 1.1246 |
| 1.3607 | 5.42 | 233 | 1.1236 |
| 1.1999 | 5.44 | 234 | 1.1220 |
| 1.3008 | 5.47 | 235 | 1.1198 |
| 1.4308 | 5.49 | 236 | 1.1182 |
| 1.3658 | 5.51 | 237 | 1.1169 |
| 1.237 | 5.53 | 238 | 1.1162 |
| 1.2438 | 5.56 | 239 | 1.1157 |
| 1.2446 | 5.58 | 240 | 1.1148 |
| 1.1169 | 5.6 | 241 | 1.1144 |
| 1.1357 | 5.63 | 242 | 1.1138 |
| 1.2117 | 5.65 | 243 | 1.1135 |
| 1.6094 | 5.67 | 244 | 1.1132 |
| 1.4128 | 5.7 | 245 | 1.1121 |
| 1.1179 | 5.72 | 246 | 1.1108 |
| 1.5971 | 5.74 | 247 | 1.1090 |
| 1.4945 | 5.77 | 248 | 1.1075 |
| 1.3786 | 5.79 | 249 | 1.1064 |
| 1.2543 | 5.81 | 250 | 1.1055 |
| 1.2173 | 5.84 | 251 | 1.1051 |
| 1.2902 | 5.86 | 252 | 1.1045 |
| 1.349 | 5.88 | 253 | 1.1040 |
| 1.4361 | 5.91 | 254 | 1.1039 |
| 1.2974 | 5.93 | 255 | 1.1043 |
| 1.3718 | 5.95 | 256 | 1.1054 |
| 1.3251 | 5.98 | 257 | 1.1058 |
| 1.0946 | 6.0 | 258 | 1.1054 |
| 1.5179 | 6.02 | 259 | 1.1044 |
| 1.2111 | 6.05 | 260 | 1.1029 |
| 1.2518 | 6.07 | 261 | 1.1017 |
| 1.3981 | 6.09 | 262 | 1.1007 |
| 1.2579 | 6.12 | 263 | 1.0997 |
| 1.3362 | 6.14 | 264 | 1.0988 |
| 1.3431 | 6.16 | 265 | 1.0979 |
| 1.1871 | 6.19 | 266 | 1.0966 |
| 1.3084 | 6.21 | 267 | 1.0955 |
| 1.274 | 6.23 | 268 | 1.0943 |
| 1.3527 | 6.26 | 269 | 1.0930 |
| 1.1882 | 6.28 | 270 | 1.0921 |
| 1.4504 | 6.3 | 271 | 1.0914 |
| 1.2413 | 6.33 | 272 | 1.0907 |
| 1.3834 | 6.35 | 273 | 1.0905 |
| 1.4718 | 6.37 | 274 | 1.0902 |
| 1.2267 | 6.4 | 275 | 1.0900 |
| 1.2695 | 6.42 | 276 | 1.0903 |
| 1.3234 | 6.44 | 277 | 1.0900 |
| 1.3627 | 6.47 | 278 | 1.0897 |
| 1.261 | 6.49 | 279 | 1.0893 |
| 1.2832 | 6.51 | 280 | 1.0886 |
| 1.2676 | 6.53 | 281 | 1.0876 |
| 1.2157 | 6.56 | 282 | 1.0866 |
| 1.4472 | 6.58 | 283 | 1.0855 |
| 1.5994 | 6.6 | 284 | 1.0846 |
| 1.1464 | 6.63 | 285 | 1.0838 |
| 1.383 | 6.65 | 286 | 1.0832 |
| 1.3188 | 6.67 | 287 | 1.0828 |
| 1.1299 | 6.7 | 288 | 1.0825 |
| 1.332 | 6.72 | 289 | 1.0822 |
| 1.3761 | 6.74 | 290 | 1.0817 |
| 1.2563 | 6.77 | 291 | 1.0812 |
| 1.2101 | 6.79 | 292 | 1.0807 |
| 1.0416 | 6.81 | 293 | 1.0803 |
| 1.2677 | 6.84 | 294 | 1.0804 |
| 1.3173 | 6.86 | 295 | 1.0804 |
| 1.276 | 6.88 | 296 | 1.0809 |
| 1.3172 | 6.91 | 297 | 1.0819 |
| 1.3541 | 6.93 | 298 | 1.0829 |
| 1.167 | 6.95 | 299 | 1.0828 |
| 1.3084 | 6.98 | 300 | 1.0818 |
| 1.4632 | 7.0 | 301 | 1.0802 |
| 1.2737 | 7.02 | 302 | 1.0787 |
| 1.339 | 7.05 | 303 | 1.0771 |
| 1.2764 | 7.07 | 304 | 1.0755 |
| 1.1898 | 7.09 | 305 | 1.0738 |
| 1.0969 | 7.12 | 306 | 1.0725 |
| 1.3272 | 7.14 | 307 | 1.0713 |
| 1.3145 | 7.16 | 308 | 1.0706 |
| 1.3092 | 7.19 | 309 | 1.0700 |
| 1.4391 | 7.21 | 310 | 1.0693 |
| 1.3287 | 7.23 | 311 | 1.0687 |
| 1.1278 | 7.26 | 312 | 1.0678 |
| 1.3053 | 7.28 | 313 | 1.0669 |
| 1.3056 | 7.3 | 314 | 1.0661 |
| 1.2655 | 7.33 | 315 | 1.0654 |
| 1.2001 | 7.35 | 316 | 1.0652 |
| 1.2686 | 7.37 | 317 | 1.0652 |
| 1.2423 | 7.4 | 318 | 1.0655 |
| 1.2005 | 7.42 | 319 | 1.0660 |
| 1.2882 | 7.44 | 320 | 1.0662 |
| 1.2379 | 7.47 | 321 | 1.0662 |
| 1.1779 | 7.49 | 322 | 1.0656 |
| 1.2649 | 7.51 | 323 | 1.0654 |
| 1.3644 | 7.53 | 324 | 1.0654 |
| 1.3904 | 7.56 | 325 | 1.0653 |
| 1.1946 | 7.58 | 326 | 1.0647 |
| 1.3145 | 7.6 | 327 | 1.0643 |
| 1.3241 | 7.63 | 328 | 1.0641 |
| 1.2184 | 7.65 | 329 | 1.0636 |
| 1.3236 | 7.67 | 330 | 1.0633 |
| 1.1561 | 7.7 | 331 | 1.0630 |
| 1.1665 | 7.72 | 332 | 1.0628 |
| 1.1769 | 7.74 | 333 | 1.0626 |
| 1.3381 | 7.77 | 334 | 1.0623 |
| 1.3596 | 7.79 | 335 | 1.0620 |
| 1.2975 | 7.81 | 336 | 1.0615 |
| 1.3536 | 7.84 | 337 | 1.0610 |
| 1.2781 | 7.86 | 338 | 1.0606 |
| 1.3603 | 7.88 | 339 | 1.0602 |
| 1.3506 | 7.91 | 340 | 1.0598 |
| 1.2219 | 7.93 | 341 | 1.0596 |
| 1.3136 | 7.95 | 342 | 1.0595 |
| 1.4301 | 7.98 | 343 | 1.0596 |
| 1.2822 | 8.0 | 344 | 1.0595 |
| 1.3211 | 8.02 | 345 | 1.0592 |
| 1.1138 | 8.05 | 346 | 1.0591 |
| 1.3094 | 8.07 | 347 | 1.0589 |
| 1.3455 | 8.09 | 348 | 1.0586 |
| 1.1251 | 8.12 | 349 | 1.0582 |
| 1.1669 | 8.14 | 350 | 1.0577 |
| 1.2009 | 8.16 | 351 | 1.0572 |
| 1.2289 | 8.19 | 352 | 1.0570 |
| 1.294 | 8.21 | 353 | 1.0567 |
| 1.3906 | 8.23 | 354 | 1.0565 |
| 1.1368 | 8.26 | 355 | 1.0562 |
| 1.255 | 8.28 | 356 | 1.0560 |
| 1.2174 | 8.3 | 357 | 1.0557 |
| 1.3693 | 8.33 | 358 | 1.0553 |
| 1.3344 | 8.35 | 359 | 1.0549 |
| 1.4558 | 8.37 | 360 | 1.0546 |
| 1.3396 | 8.4 | 361 | 1.0543 |
| 1.0955 | 8.42 | 362 | 1.0541 |
| 1.2509 | 8.44 | 363 | 1.0539 |
| 1.1303 | 8.47 | 364 | 1.0538 |
| 1.2599 | 8.49 | 365 | 1.0537 |
| 1.1635 | 8.51 | 366 | 1.0536 |
| 1.2345 | 8.53 | 367 | 1.0534 |
| 1.2716 | 8.56 | 368 | 1.0534 |
| 1.3879 | 8.58 | 369 | 1.0533 |
| 1.2097 | 8.6 | 370 | 1.0532 |
| 1.2209 | 8.63 | 371 | 1.0533 |
| 1.3697 | 8.65 | 372 | 1.0536 |
| 1.2573 | 8.67 | 373 | 1.0539 |
| 1.251 | 8.7 | 374 | 1.0541 |
| 1.1992 | 8.72 | 375 | 1.0543 |
| 1.3785 | 8.74 | 376 | 1.0543 |
| 1.4019 | 8.77 | 377 | 1.0539 |
| 1.1751 | 8.79 | 378 | 1.0536 |
| 1.2954 | 8.81 | 379 | 1.0533 |
| 1.2145 | 8.84 | 380 | 1.0526 |
| 1.2806 | 8.86 | 381 | 1.0519 |
| 1.4749 | 8.88 | 382 | 1.0511 |
| 1.3058 | 8.91 | 383 | 1.0505 |
| 1.2426 | 8.93 | 384 | 1.0500 |
| 1.2222 | 8.95 | 385 | 1.0495 |
| 1.1779 | 8.98 | 386 | 1.0492 |
| 1.275 | 9.0 | 387 | 1.0489 |
| 1.3287 | 9.02 | 388 | 1.0487 |
| 1.4447 | 9.05 | 389 | 1.0486 |
| 1.3054 | 9.07 | 390 | 1.0484 |
| 1.2826 | 9.09 | 391 | 1.0481 |
| 1.1033 | 9.12 | 392 | 1.0479 |
| 1.3264 | 9.14 | 393 | 1.0477 |
| 1.2907 | 9.16 | 394 | 1.0475 |
| 1.2442 | 9.19 | 395 | 1.0473 |
| 1.1201 | 9.21 | 396 | 1.0472 |
| 1.3126 | 9.23 | 397 | 1.0470 |
| 1.1136 | 9.26 | 398 | 1.0469 |
| 1.1632 | 9.28 | 399 | 1.0468 |
| 1.1759 | 9.3 | 400 | 1.0466 |
| 1.3374 | 9.33 | 401 | 1.0466 |
| 1.2542 | 9.35 | 402 | 1.0465 |
| 0.9985 | 9.37 | 403 | 1.0465 |
| 1.0251 | 9.4 | 404 | 1.0465 |
| 1.2837 | 9.42 | 405 | 1.0464 |
| 1.4331 | 9.44 | 406 | 1.0463 |
| 1.3613 | 9.47 | 407 | 1.0462 |
| 1.3092 | 9.49 | 408 | 1.0461 |
| 1.2802 | 9.51 | 409 | 1.0460 |
| 1.199 | 9.53 | 410 | 1.0460 |
| 1.4372 | 9.56 | 411 | 1.0459 |
| 1.1819 | 9.58 | 412 | 1.0459 |
| 1.1887 | 9.6 | 413 | 1.0458 |
| 1.0923 | 9.63 | 414 | 1.0457 |
| 1.3018 | 9.65 | 415 | 1.0456 |
| 1.2139 | 9.67 | 416 | 1.0454 |
| 1.264 | 9.7 | 417 | 1.0453 |
| 1.276 | 9.72 | 418 | 1.0453 |
| 1.1202 | 9.74 | 419 | 1.0452 |
| 1.3544 | 9.77 | 420 | 1.0452 |
| 1.1664 | 9.79 | 421 | 1.0452 |
| 1.2598 | 9.81 | 422 | 1.0451 |
| 1.3336 | 9.84 | 423 | 1.0451 |
| 1.3495 | 9.86 | 424 | 1.0450 |
| 1.3178 | 9.88 | 425 | 1.0450 |
| 1.2631 | 9.91 | 426 | 1.0449 |
| 1.1517 | 9.93 | 427 | 1.0449 |
| 1.1755 | 9.95 | 428 | 1.0449 |
| 1.2306 | 9.98 | 429 | 1.0449 |
| 1.1321 | 10.0 | 430 | 1.0449 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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