End of training

d46ba40 about 1 year ago

23.2 kB

	---
	license: mit
	base_model: gpt2-medium
	tags:
	- generated_from_trainer
	model-index:
	- name: gpt2-medium-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. -->

	# gpt2-medium-custom-functions-dataset-python

	This model is a fine-tuned version of [gpt2-medium](https://huggingface.co./gpt2-medium) on the None dataset.
	It achieves the following results on the evaluation set:
	- Loss: 0.4735

	## 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 \|
	\|:-------------:\|:-----:\|:----:\|:---------------:\|
	\| 2.6637 \| 0.02 \| 1 \| 2.1553 \|
	\| 2.4565 \| 0.05 \| 2 \| 2.0239 \|
	\| 2.1968 \| 0.07 \| 3 \| 1.9137 \|
	\| 2.2327 \| 0.09 \| 4 \| 1.8194 \|
	\| 2.0672 \| 0.12 \| 5 \| 1.7425 \|
	\| 1.9292 \| 0.14 \| 6 \| 1.6721 \|
	\| 1.8293 \| 0.16 \| 7 \| 1.6049 \|
	\| 1.71 \| 0.19 \| 8 \| 1.5385 \|
	\| 1.8569 \| 0.21 \| 9 \| 1.4786 \|
	\| 1.7208 \| 0.23 \| 10 \| 1.4236 \|
	\| 1.6461 \| 0.26 \| 11 \| 1.3770 \|
	\| 1.6146 \| 0.28 \| 12 \| 1.3361 \|
	\| 1.5799 \| 0.3 \| 13 \| 1.3006 \|
	\| 1.515 \| 0.33 \| 14 \| 1.2690 \|
	\| 1.4448 \| 0.35 \| 15 \| 1.2488 \|
	\| 1.2871 \| 0.37 \| 16 \| 1.2254 \|
	\| 1.6566 \| 0.4 \| 17 \| 1.1972 \|
	\| 1.4823 \| 0.42 \| 18 \| 1.1638 \|
	\| 1.4655 \| 0.44 \| 19 \| 1.1379 \|
	\| 1.3227 \| 0.47 \| 20 \| 1.1172 \|
	\| 1.4135 \| 0.49 \| 21 \| 1.0973 \|
	\| 1.4835 \| 0.51 \| 22 \| 1.0784 \|
	\| 1.401 \| 0.53 \| 23 \| 1.0607 \|
	\| 1.3294 \| 0.56 \| 24 \| 1.0455 \|
	\| 1.4781 \| 0.58 \| 25 \| 1.0302 \|
	\| 1.1167 \| 0.6 \| 26 \| 1.0153 \|
	\| 1.3876 \| 0.63 \| 27 \| 1.0017 \|
	\| 1.1708 \| 0.65 \| 28 \| 0.9911 \|
	\| 1.2199 \| 0.67 \| 29 \| 0.9833 \|
	\| 1.2328 \| 0.7 \| 30 \| 0.9709 \|
	\| 1.5262 \| 0.72 \| 31 \| 0.9599 \|
	\| 1.1906 \| 0.74 \| 32 \| 0.9501 \|
	\| 1.191 \| 0.77 \| 33 \| 0.9404 \|
	\| 1.0422 \| 0.79 \| 34 \| 0.9291 \|
	\| 1.277 \| 0.81 \| 35 \| 0.9183 \|
	\| 1.1522 \| 0.84 \| 36 \| 0.9092 \|
	\| 1.1841 \| 0.86 \| 37 \| 0.9006 \|
	\| 1.2538 \| 0.88 \| 38 \| 0.8931 \|
	\| 1.1318 \| 0.91 \| 39 \| 0.8862 \|
	\| 1.012 \| 0.93 \| 40 \| 0.8807 \|
	\| 1.0553 \| 0.95 \| 41 \| 0.8753 \|
	\| 1.0566 \| 0.98 \| 42 \| 0.8691 \|
	\| 1.1235 \| 1.0 \| 43 \| 0.8638 \|
	\| 1.1207 \| 1.02 \| 44 \| 0.8591 \|
	\| 1.0835 \| 1.05 \| 45 \| 0.8544 \|
	\| 1.3731 \| 1.07 \| 46 \| 0.8505 \|
	\| 0.9843 \| 1.09 \| 47 \| 0.8450 \|
	\| 0.9201 \| 1.12 \| 48 \| 0.8385 \|
	\| 1.0392 \| 1.14 \| 49 \| 0.8340 \|
	\| 1.1158 \| 1.16 \| 50 \| 0.8297 \|
	\| 0.8518 \| 1.19 \| 51 \| 0.8247 \|
	\| 0.8871 \| 1.21 \| 52 \| 0.8185 \|
	\| 1.0378 \| 1.23 \| 53 \| 0.8124 \|
	\| 1.1116 \| 1.26 \| 54 \| 0.8083 \|
	\| 1.0364 \| 1.28 \| 55 \| 0.8043 \|
	\| 0.8949 \| 1.3 \| 56 \| 0.7988 \|
	\| 1.068 \| 1.33 \| 57 \| 0.7925 \|
	\| 0.9319 \| 1.35 \| 58 \| 0.7859 \|
	\| 0.7654 \| 1.37 \| 59 \| 0.7818 \|
	\| 0.8887 \| 1.4 \| 60 \| 0.7787 \|
	\| 1.0294 \| 1.42 \| 61 \| 0.7748 \|
	\| 1.1351 \| 1.44 \| 62 \| 0.7711 \|
	\| 0.998 \| 1.47 \| 63 \| 0.7689 \|
	\| 1.1106 \| 1.49 \| 64 \| 0.7679 \|
	\| 0.9606 \| 1.51 \| 65 \| 0.7660 \|
	\| 0.9273 \| 1.53 \| 66 \| 0.7628 \|
	\| 0.9725 \| 1.56 \| 67 \| 0.7595 \|
	\| 1.0205 \| 1.58 \| 68 \| 0.7569 \|
	\| 1.0131 \| 1.6 \| 69 \| 0.7549 \|
	\| 0.9203 \| 1.63 \| 70 \| 0.7530 \|
	\| 0.898 \| 1.65 \| 71 \| 0.7508 \|
	\| 0.817 \| 1.67 \| 72 \| 0.7478 \|
	\| 0.9439 \| 1.7 \| 73 \| 0.7447 \|
	\| 1.079 \| 1.72 \| 74 \| 0.7427 \|
	\| 0.9806 \| 1.74 \| 75 \| 0.7398 \|
	\| 1.261 \| 1.77 \| 76 \| 0.7369 \|
	\| 1.0824 \| 1.79 \| 77 \| 0.7340 \|
	\| 0.9523 \| 1.81 \| 78 \| 0.7317 \|
	\| 0.9734 \| 1.84 \| 79 \| 0.7300 \|
	\| 1.0786 \| 1.86 \| 80 \| 0.7302 \|
	\| 0.8675 \| 1.88 \| 81 \| 0.7298 \|
	\| 0.851 \| 1.91 \| 82 \| 0.7279 \|
	\| 1.066 \| 1.93 \| 83 \| 0.7254 \|
	\| 1.137 \| 1.95 \| 84 \| 0.7239 \|
	\| 1.1387 \| 1.98 \| 85 \| 0.7224 \|
	\| 0.739 \| 2.0 \| 86 \| 0.7207 \|
	\| 0.8809 \| 2.02 \| 87 \| 0.7192 \|
	\| 1.0253 \| 2.05 \| 88 \| 0.7178 \|
	\| 0.8942 \| 2.07 \| 89 \| 0.7160 \|
	\| 0.8436 \| 2.09 \| 90 \| 0.7134 \|
	\| 0.8356 \| 2.12 \| 91 \| 0.7115 \|
	\| 0.9951 \| 2.14 \| 92 \| 0.7110 \|
	\| 0.7637 \| 2.16 \| 93 \| 0.7098 \|
	\| 0.722 \| 2.19 \| 94 \| 0.7087 \|
	\| 1.023 \| 2.21 \| 95 \| 0.7072 \|
	\| 0.7015 \| 2.23 \| 96 \| 0.7044 \|
	\| 0.8949 \| 2.26 \| 97 \| 0.7017 \|
	\| 0.9573 \| 2.28 \| 98 \| 0.6996 \|
	\| 0.8989 \| 2.3 \| 99 \| 0.6987 \|
	\| 0.9738 \| 2.33 \| 100 \| 0.6983 \|
	\| 0.8317 \| 2.35 \| 101 \| 0.6970 \|
	\| 0.9778 \| 2.37 \| 102 \| 0.6951 \|
	\| 0.7919 \| 2.4 \| 103 \| 0.6924 \|
	\| 0.653 \| 2.42 \| 104 \| 0.6898 \|
	\| 0.9133 \| 2.44 \| 105 \| 0.6873 \|
	\| 0.8521 \| 2.47 \| 106 \| 0.6841 \|
	\| 0.8673 \| 2.49 \| 107 \| 0.6808 \|
	\| 0.8792 \| 2.51 \| 108 \| 0.6777 \|
	\| 0.8635 \| 2.53 \| 109 \| 0.6747 \|
	\| 1.0299 \| 2.56 \| 110 \| 0.6719 \|
	\| 0.7554 \| 2.58 \| 111 \| 0.6694 \|
	\| 0.9195 \| 2.6 \| 112 \| 0.6671 \|
	\| 0.8374 \| 2.63 \| 113 \| 0.6649 \|
	\| 0.8847 \| 2.65 \| 114 \| 0.6628 \|
	\| 0.938 \| 2.67 \| 115 \| 0.6615 \|
	\| 0.8967 \| 2.7 \| 116 \| 0.6603 \|
	\| 0.8264 \| 2.72 \| 117 \| 0.6594 \|
	\| 0.9195 \| 2.74 \| 118 \| 0.6591 \|
	\| 0.8584 \| 2.77 \| 119 \| 0.6588 \|
	\| 0.8058 \| 2.79 \| 120 \| 0.6578 \|
	\| 1.0978 \| 2.81 \| 121 \| 0.6560 \|
	\| 0.7889 \| 2.84 \| 122 \| 0.6544 \|
	\| 0.7865 \| 2.86 \| 123 \| 0.6527 \|
	\| 0.8553 \| 2.88 \| 124 \| 0.6507 \|
	\| 0.9134 \| 2.91 \| 125 \| 0.6486 \|
	\| 0.7911 \| 2.93 \| 126 \| 0.6463 \|
	\| 0.9675 \| 2.95 \| 127 \| 0.6439 \|
	\| 0.761 \| 2.98 \| 128 \| 0.6417 \|
	\| 0.6347 \| 3.0 \| 129 \| 0.6394 \|
	\| 0.7608 \| 3.02 \| 130 \| 0.6368 \|
	\| 0.7563 \| 3.05 \| 131 \| 0.6352 \|
	\| 0.8059 \| 3.07 \| 132 \| 0.6333 \|
	\| 0.8825 \| 3.09 \| 133 \| 0.6320 \|
	\| 0.7952 \| 3.12 \| 134 \| 0.6307 \|
	\| 0.9209 \| 3.14 \| 135 \| 0.6299 \|
	\| 0.8556 \| 3.16 \| 136 \| 0.6295 \|
	\| 0.8613 \| 3.19 \| 137 \| 0.6289 \|
	\| 0.7908 \| 3.21 \| 138 \| 0.6288 \|
	\| 0.7728 \| 3.23 \| 139 \| 0.6285 \|
	\| 0.707 \| 3.26 \| 140 \| 0.6280 \|
	\| 0.8353 \| 3.28 \| 141 \| 0.6270 \|
	\| 0.9482 \| 3.3 \| 142 \| 0.6265 \|
	\| 0.726 \| 3.33 \| 143 \| 0.6260 \|
	\| 0.7594 \| 3.35 \| 144 \| 0.6250 \|
	\| 0.9403 \| 3.37 \| 145 \| 0.6237 \|
	\| 0.8986 \| 3.4 \| 146 \| 0.6218 \|
	\| 0.7309 \| 3.42 \| 147 \| 0.6204 \|
	\| 0.8011 \| 3.44 \| 148 \| 0.6197 \|
	\| 0.7373 \| 3.47 \| 149 \| 0.6193 \|
	\| 0.6195 \| 3.49 \| 150 \| 0.6174 \|
	\| 0.8668 \| 3.51 \| 151 \| 0.6154 \|
	\| 0.8096 \| 3.53 \| 152 \| 0.6136 \|
	\| 0.9364 \| 3.56 \| 153 \| 0.6116 \|
	\| 0.7081 \| 3.58 \| 154 \| 0.6105 \|
	\| 0.7799 \| 3.6 \| 155 \| 0.6091 \|
	\| 0.7862 \| 3.63 \| 156 \| 0.6090 \|
	\| 0.7221 \| 3.65 \| 157 \| 0.6097 \|
	\| 0.7605 \| 3.67 \| 158 \| 0.6090 \|
	\| 0.7481 \| 3.7 \| 159 \| 0.6071 \|
	\| 0.776 \| 3.72 \| 160 \| 0.6045 \|
	\| 0.9396 \| 3.74 \| 161 \| 0.6022 \|
	\| 0.7166 \| 3.77 \| 162 \| 0.6001 \|
	\| 0.709 \| 3.79 \| 163 \| 0.5985 \|
	\| 0.8412 \| 3.81 \| 164 \| 0.5970 \|
	\| 0.7692 \| 3.84 \| 165 \| 0.5956 \|
	\| 0.7621 \| 3.86 \| 166 \| 0.5942 \|
	\| 0.7832 \| 3.88 \| 167 \| 0.5930 \|
	\| 0.7455 \| 3.91 \| 168 \| 0.5919 \|
	\| 0.7888 \| 3.93 \| 169 \| 0.5913 \|
	\| 0.7197 \| 3.95 \| 170 \| 0.5908 \|
	\| 0.7936 \| 3.98 \| 171 \| 0.5900 \|
	\| 0.5976 \| 4.0 \| 172 \| 0.5890 \|
	\| 0.6375 \| 4.02 \| 173 \| 0.5874 \|
	\| 0.7342 \| 4.05 \| 174 \| 0.5859 \|
	\| 0.644 \| 4.07 \| 175 \| 0.5845 \|
	\| 0.7232 \| 4.09 \| 176 \| 0.5831 \|
	\| 0.7743 \| 4.12 \| 177 \| 0.5819 \|
	\| 0.8015 \| 4.14 \| 178 \| 0.5808 \|
	\| 0.7475 \| 4.16 \| 179 \| 0.5801 \|
	\| 0.7005 \| 4.19 \| 180 \| 0.5797 \|
	\| 0.7032 \| 4.21 \| 181 \| 0.5795 \|
	\| 0.8204 \| 4.23 \| 182 \| 0.5789 \|
	\| 0.7674 \| 4.26 \| 183 \| 0.5787 \|
	\| 0.7219 \| 4.28 \| 184 \| 0.5781 \|
	\| 0.624 \| 4.3 \| 185 \| 0.5771 \|
	\| 0.7429 \| 4.33 \| 186 \| 0.5755 \|
	\| 0.6445 \| 4.35 \| 187 \| 0.5730 \|
	\| 0.7782 \| 4.37 \| 188 \| 0.5712 \|
	\| 0.7882 \| 4.4 \| 189 \| 0.5698 \|
	\| 0.7005 \| 4.42 \| 190 \| 0.5687 \|
	\| 0.7509 \| 4.44 \| 191 \| 0.5678 \|
	\| 0.6764 \| 4.47 \| 192 \| 0.5671 \|
	\| 0.6529 \| 4.49 \| 193 \| 0.5667 \|
	\| 0.6101 \| 4.51 \| 194 \| 0.5668 \|
	\| 0.8211 \| 4.53 \| 195 \| 0.5674 \|
	\| 0.7529 \| 4.56 \| 196 \| 0.5667 \|
	\| 0.8615 \| 4.58 \| 197 \| 0.5651 \|
	\| 0.8099 \| 4.6 \| 198 \| 0.5641 \|
	\| 0.7145 \| 4.63 \| 199 \| 0.5635 \|
	\| 0.7437 \| 4.65 \| 200 \| 0.5632 \|
	\| 0.873 \| 4.67 \| 201 \| 0.5631 \|
	\| 0.7937 \| 4.7 \| 202 \| 0.5620 \|
	\| 0.7493 \| 4.72 \| 203 \| 0.5608 \|
	\| 0.7614 \| 4.74 \| 204 \| 0.5596 \|
	\| 0.6642 \| 4.77 \| 205 \| 0.5585 \|
	\| 0.5854 \| 4.79 \| 206 \| 0.5576 \|
	\| 0.6442 \| 4.81 \| 207 \| 0.5572 \|
	\| 0.859 \| 4.84 \| 208 \| 0.5562 \|
	\| 0.6627 \| 4.86 \| 209 \| 0.5553 \|
	\| 0.8024 \| 4.88 \| 210 \| 0.5540 \|
	\| 0.7443 \| 4.91 \| 211 \| 0.5526 \|
	\| 0.6725 \| 4.93 \| 212 \| 0.5520 \|
	\| 0.749 \| 4.95 \| 213 \| 0.5521 \|
	\| 0.7687 \| 4.98 \| 214 \| 0.5521 \|
	\| 0.5998 \| 5.0 \| 215 \| 0.5522 \|
	\| 0.7578 \| 5.02 \| 216 \| 0.5526 \|
	\| 0.7074 \| 5.05 \| 217 \| 0.5536 \|
	\| 0.5647 \| 5.07 \| 218 \| 0.5543 \|
	\| 0.7475 \| 5.09 \| 219 \| 0.5539 \|
	\| 0.5776 \| 5.12 \| 220 \| 0.5523 \|
	\| 0.7232 \| 5.14 \| 221 \| 0.5507 \|
	\| 0.6487 \| 5.16 \| 222 \| 0.5491 \|
	\| 0.6446 \| 5.19 \| 223 \| 0.5477 \|
	\| 0.8951 \| 5.21 \| 224 \| 0.5467 \|
	\| 0.7706 \| 5.23 \| 225 \| 0.5460 \|
	\| 0.6351 \| 5.26 \| 226 \| 0.5453 \|
	\| 0.7336 \| 5.28 \| 227 \| 0.5445 \|
	\| 0.6329 \| 5.3 \| 228 \| 0.5436 \|
	\| 0.5795 \| 5.33 \| 229 \| 0.5430 \|
	\| 0.7553 \| 5.35 \| 230 \| 0.5428 \|
	\| 0.6959 \| 5.37 \| 231 \| 0.5430 \|
	\| 0.5945 \| 5.4 \| 232 \| 0.5427 \|
	\| 0.6274 \| 5.42 \| 233 \| 0.5422 \|
	\| 0.7024 \| 5.44 \| 234 \| 0.5414 \|
	\| 0.8223 \| 5.47 \| 235 \| 0.5402 \|
	\| 0.6441 \| 5.49 \| 236 \| 0.5386 \|
	\| 0.749 \| 5.51 \| 237 \| 0.5368 \|
	\| 0.6654 \| 5.53 \| 238 \| 0.5357 \|
	\| 0.8781 \| 5.56 \| 239 \| 0.5346 \|
	\| 0.7139 \| 5.58 \| 240 \| 0.5340 \|
	\| 0.587 \| 5.6 \| 241 \| 0.5339 \|
	\| 0.8308 \| 5.63 \| 242 \| 0.5340 \|
	\| 0.5613 \| 5.65 \| 243 \| 0.5334 \|
	\| 0.7108 \| 5.67 \| 244 \| 0.5330 \|
	\| 0.6884 \| 5.7 \| 245 \| 0.5322 \|
	\| 0.6955 \| 5.72 \| 246 \| 0.5310 \|
	\| 0.5989 \| 5.74 \| 247 \| 0.5301 \|
	\| 0.7517 \| 5.77 \| 248 \| 0.5295 \|
	\| 0.6765 \| 5.79 \| 249 \| 0.5291 \|
	\| 0.6223 \| 5.81 \| 250 \| 0.5285 \|
	\| 0.6694 \| 5.84 \| 251 \| 0.5277 \|
	\| 0.6235 \| 5.86 \| 252 \| 0.5267 \|
	\| 0.6591 \| 5.88 \| 253 \| 0.5259 \|
	\| 0.6832 \| 5.91 \| 254 \| 0.5251 \|
	\| 0.7346 \| 5.93 \| 255 \| 0.5246 \|
	\| 0.6574 \| 5.95 \| 256 \| 0.5242 \|
	\| 0.704 \| 5.98 \| 257 \| 0.5236 \|
	\| 0.7269 \| 6.0 \| 258 \| 0.5234 \|
	\| 0.6097 \| 6.02 \| 259 \| 0.5231 \|
	\| 0.5369 \| 6.05 \| 260 \| 0.5224 \|
	\| 0.7094 \| 6.07 \| 261 \| 0.5214 \|
	\| 0.608 \| 6.09 \| 262 \| 0.5207 \|
	\| 0.6112 \| 6.12 \| 263 \| 0.5200 \|
	\| 0.6414 \| 6.14 \| 264 \| 0.5192 \|
	\| 0.6254 \| 6.16 \| 265 \| 0.5186 \|
	\| 0.8219 \| 6.19 \| 266 \| 0.5184 \|
	\| 0.6536 \| 6.21 \| 267 \| 0.5183 \|
	\| 0.601 \| 6.23 \| 268 \| 0.5184 \|
	\| 0.672 \| 6.26 \| 269 \| 0.5182 \|
	\| 0.6646 \| 6.28 \| 270 \| 0.5179 \|
	\| 0.7228 \| 6.3 \| 271 \| 0.5179 \|
	\| 0.6542 \| 6.33 \| 272 \| 0.5182 \|
	\| 0.6003 \| 6.35 \| 273 \| 0.5185 \|
	\| 0.4799 \| 6.37 \| 274 \| 0.5195 \|
	\| 0.7062 \| 6.4 \| 275 \| 0.5203 \|
	\| 0.7557 \| 6.42 \| 276 \| 0.5199 \|
	\| 0.7419 \| 6.44 \| 277 \| 0.5189 \|
	\| 0.5468 \| 6.47 \| 278 \| 0.5179 \|
	\| 0.6142 \| 6.49 \| 279 \| 0.5168 \|
	\| 0.5953 \| 6.51 \| 280 \| 0.5161 \|
	\| 0.602 \| 6.53 \| 281 \| 0.5152 \|
	\| 0.6168 \| 6.56 \| 282 \| 0.5146 \|
	\| 0.815 \| 6.58 \| 283 \| 0.5141 \|
	\| 0.7738 \| 6.6 \| 284 \| 0.5138 \|
	\| 0.64 \| 6.63 \| 285 \| 0.5136 \|
	\| 0.6377 \| 6.65 \| 286 \| 0.5133 \|
	\| 0.7254 \| 6.67 \| 287 \| 0.5131 \|
	\| 0.6416 \| 6.7 \| 288 \| 0.5128 \|
	\| 0.6555 \| 6.72 \| 289 \| 0.5123 \|
	\| 0.6812 \| 6.74 \| 290 \| 0.5118 \|
	\| 0.7116 \| 6.77 \| 291 \| 0.5113 \|
	\| 0.6046 \| 6.79 \| 292 \| 0.5104 \|
	\| 0.7386 \| 6.81 \| 293 \| 0.5095 \|
	\| 0.733 \| 6.84 \| 294 \| 0.5088 \|
	\| 0.6579 \| 6.86 \| 295 \| 0.5081 \|
	\| 0.5418 \| 6.88 \| 296 \| 0.5076 \|
	\| 0.5853 \| 6.91 \| 297 \| 0.5071 \|
	\| 0.6488 \| 6.93 \| 298 \| 0.5070 \|
	\| 0.5726 \| 6.95 \| 299 \| 0.5069 \|
	\| 0.5821 \| 6.98 \| 300 \| 0.5068 \|
	\| 0.9157 \| 7.0 \| 301 \| 0.5068 \|
	\| 0.6769 \| 7.02 \| 302 \| 0.5061 \|
	\| 0.7632 \| 7.05 \| 303 \| 0.5049 \|
	\| 0.7479 \| 7.07 \| 304 \| 0.5037 \|
	\| 0.5632 \| 7.09 \| 305 \| 0.5028 \|
	\| 0.6493 \| 7.12 \| 306 \| 0.5015 \|
	\| 0.6517 \| 7.14 \| 307 \| 0.5007 \|
	\| 0.6944 \| 7.16 \| 308 \| 0.5000 \|
	\| 0.5862 \| 7.19 \| 309 \| 0.4996 \|
	\| 0.6161 \| 7.21 \| 310 \| 0.4993 \|
	\| 0.6396 \| 7.23 \| 311 \| 0.4988 \|
	\| 0.5506 \| 7.26 \| 312 \| 0.4985 \|
	\| 0.7518 \| 7.28 \| 313 \| 0.4982 \|
	\| 0.7445 \| 7.3 \| 314 \| 0.4977 \|
	\| 0.6228 \| 7.33 \| 315 \| 0.4974 \|
	\| 0.5555 \| 7.35 \| 316 \| 0.4968 \|
	\| 0.7457 \| 7.37 \| 317 \| 0.4964 \|
	\| 0.579 \| 7.4 \| 318 \| 0.4961 \|
	\| 0.528 \| 7.42 \| 319 \| 0.4956 \|
	\| 0.5286 \| 7.44 \| 320 \| 0.4953 \|
	\| 0.591 \| 7.47 \| 321 \| 0.4952 \|
	\| 0.5903 \| 7.49 \| 322 \| 0.4953 \|
	\| 0.6155 \| 7.51 \| 323 \| 0.4955 \|
	\| 0.5907 \| 7.53 \| 324 \| 0.4954 \|
	\| 0.6028 \| 7.56 \| 325 \| 0.4949 \|
	\| 0.5852 \| 7.58 \| 326 \| 0.4943 \|
	\| 0.6156 \| 7.6 \| 327 \| 0.4934 \|
	\| 0.582 \| 7.63 \| 328 \| 0.4925 \|
	\| 0.6091 \| 7.65 \| 329 \| 0.4918 \|
	\| 0.5877 \| 7.67 \| 330 \| 0.4912 \|
	\| 0.7017 \| 7.7 \| 331 \| 0.4908 \|
	\| 0.6496 \| 7.72 \| 332 \| 0.4905 \|
	\| 0.6089 \| 7.74 \| 333 \| 0.4903 \|
	\| 0.5807 \| 7.77 \| 334 \| 0.4901 \|
	\| 0.5553 \| 7.79 \| 335 \| 0.4897 \|
	\| 0.8058 \| 7.81 \| 336 \| 0.4894 \|
	\| 0.6147 \| 7.84 \| 337 \| 0.4892 \|
	\| 0.6289 \| 7.86 \| 338 \| 0.4891 \|
	\| 0.5883 \| 7.88 \| 339 \| 0.4891 \|
	\| 0.6048 \| 7.91 \| 340 \| 0.4890 \|
	\| 0.6411 \| 7.93 \| 341 \| 0.4889 \|
	\| 0.5575 \| 7.95 \| 342 \| 0.4887 \|
	\| 0.6509 \| 7.98 \| 343 \| 0.4884 \|
	\| 0.764 \| 8.0 \| 344 \| 0.4882 \|
	\| 0.6364 \| 8.02 \| 345 \| 0.4880 \|
	\| 0.561 \| 8.05 \| 346 \| 0.4880 \|
	\| 0.5949 \| 8.07 \| 347 \| 0.4878 \|
	\| 0.6904 \| 8.09 \| 348 \| 0.4874 \|
	\| 0.647 \| 8.12 \| 349 \| 0.4868 \|
	\| 0.6374 \| 8.14 \| 350 \| 0.4862 \|
	\| 0.7048 \| 8.16 \| 351 \| 0.4859 \|
	\| 0.6085 \| 8.19 \| 352 \| 0.4854 \|
	\| 0.5246 \| 8.21 \| 353 \| 0.4852 \|
	\| 0.531 \| 8.23 \| 354 \| 0.4849 \|
	\| 0.4605 \| 8.26 \| 355 \| 0.4844 \|
	\| 0.6132 \| 8.28 \| 356 \| 0.4839 \|
	\| 0.6378 \| 8.3 \| 357 \| 0.4835 \|
	\| 0.7885 \| 8.33 \| 358 \| 0.4831 \|
	\| 0.6008 \| 8.35 \| 359 \| 0.4827 \|
	\| 0.7118 \| 8.37 \| 360 \| 0.4823 \|
	\| 0.6792 \| 8.4 \| 361 \| 0.4821 \|
	\| 0.6317 \| 8.42 \| 362 \| 0.4819 \|
	\| 0.5942 \| 8.44 \| 363 \| 0.4817 \|
	\| 0.6184 \| 8.47 \| 364 \| 0.4815 \|
	\| 0.5902 \| 8.49 \| 365 \| 0.4813 \|
	\| 0.5353 \| 8.51 \| 366 \| 0.4812 \|
	\| 0.685 \| 8.53 \| 367 \| 0.4812 \|
	\| 0.5232 \| 8.56 \| 368 \| 0.4811 \|
	\| 0.6393 \| 8.58 \| 369 \| 0.4812 \|
	\| 0.5685 \| 8.6 \| 370 \| 0.4812 \|
	\| 0.6234 \| 8.63 \| 371 \| 0.4813 \|
	\| 0.5456 \| 8.65 \| 372 \| 0.4810 \|
	\| 0.6159 \| 8.67 \| 373 \| 0.4807 \|
	\| 0.6575 \| 8.7 \| 374 \| 0.4804 \|
	\| 0.5769 \| 8.72 \| 375 \| 0.4803 \|
	\| 0.5939 \| 8.74 \| 376 \| 0.4801 \|
	\| 0.5721 \| 8.77 \| 377 \| 0.4800 \|
	\| 0.5283 \| 8.79 \| 378 \| 0.4797 \|
	\| 0.5275 \| 8.81 \| 379 \| 0.4795 \|
	\| 0.5907 \| 8.84 \| 380 \| 0.4794 \|
	\| 0.6058 \| 8.86 \| 381 \| 0.4792 \|
	\| 0.7202 \| 8.88 \| 382 \| 0.4790 \|
	\| 0.6811 \| 8.91 \| 383 \| 0.4787 \|
	\| 0.5979 \| 8.93 \| 384 \| 0.4785 \|
	\| 0.5572 \| 8.95 \| 385 \| 0.4783 \|
	\| 0.5893 \| 8.98 \| 386 \| 0.4781 \|
	\| 0.6796 \| 9.0 \| 387 \| 0.4779 \|
	\| 0.5412 \| 9.02 \| 388 \| 0.4780 \|
	\| 0.5453 \| 9.05 \| 389 \| 0.4781 \|
	\| 0.7475 \| 9.07 \| 390 \| 0.4782 \|
	\| 0.6222 \| 9.09 \| 391 \| 0.4781 \|
	\| 0.5177 \| 9.12 \| 392 \| 0.4778 \|
	\| 0.6182 \| 9.14 \| 393 \| 0.4775 \|
	\| 0.6124 \| 9.16 \| 394 \| 0.4772 \|
	\| 0.6485 \| 9.19 \| 395 \| 0.4769 \|
	\| 0.5852 \| 9.21 \| 396 \| 0.4765 \|
	\| 0.5656 \| 9.23 \| 397 \| 0.4761 \|
	\| 0.6162 \| 9.26 \| 398 \| 0.4758 \|
	\| 0.6965 \| 9.28 \| 399 \| 0.4755 \|
	\| 0.5342 \| 9.3 \| 400 \| 0.4753 \|
	\| 0.718 \| 9.33 \| 401 \| 0.4751 \|
	\| 0.5089 \| 9.35 \| 402 \| 0.4750 \|
	\| 0.5738 \| 9.37 \| 403 \| 0.4748 \|
	\| 0.5612 \| 9.4 \| 404 \| 0.4746 \|
	\| 0.5628 \| 9.42 \| 405 \| 0.4744 \|
	\| 0.6512 \| 9.44 \| 406 \| 0.4743 \|
	\| 0.6717 \| 9.47 \| 407 \| 0.4742 \|
	\| 0.5937 \| 9.49 \| 408 \| 0.4741 \|
	\| 0.5906 \| 9.51 \| 409 \| 0.4741 \|
	\| 0.529 \| 9.53 \| 410 \| 0.4741 \|
	\| 0.6554 \| 9.56 \| 411 \| 0.4741 \|
	\| 0.5074 \| 9.58 \| 412 \| 0.4741 \|
	\| 0.6997 \| 9.6 \| 413 \| 0.4741 \|
	\| 0.5573 \| 9.63 \| 414 \| 0.4741 \|
	\| 0.6113 \| 9.65 \| 415 \| 0.4741 \|
	\| 0.5129 \| 9.67 \| 416 \| 0.4741 \|
	\| 0.5428 \| 9.7 \| 417 \| 0.4740 \|
	\| 0.5363 \| 9.72 \| 418 \| 0.4739 \|
	\| 0.5862 \| 9.74 \| 419 \| 0.4739 \|
	\| 0.6119 \| 9.77 \| 420 \| 0.4738 \|
	\| 0.6698 \| 9.79 \| 421 \| 0.4738 \|
	\| 0.5966 \| 9.81 \| 422 \| 0.4737 \|
	\| 0.5309 \| 9.84 \| 423 \| 0.4737 \|
	\| 0.5924 \| 9.86 \| 424 \| 0.4736 \|
	\| 0.6133 \| 9.88 \| 425 \| 0.4736 \|
	\| 0.6869 \| 9.91 \| 426 \| 0.4736 \|
	\| 0.5508 \| 9.93 \| 427 \| 0.4735 \|
	\| 0.6858 \| 9.95 \| 428 \| 0.4735 \|
	\| 0.5681 \| 9.98 \| 429 \| 0.4735 \|
	\| 0.7834 \| 10.0 \| 430 \| 0.4735 \|


	### Framework versions

	- Transformers 4.32.1
	- Pytorch 2.0.1+cu118
	- Datasets 2.14.4
	- Tokenizers 0.13.3