results / README.md

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	---
	library_name: transformers
	license: apache-2.0
	base_model: google/flan-t5-small
	tags:
	- generated_from_trainer
	model-index:
	- name: results
	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. -->

	# results

	This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
	It achieves the following results on the evaluation set:
	- Loss: 3.4951

	## 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: 5e-05
	- train_batch_size: 8
	- eval_batch_size: 8
	- seed: 42
	- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
	- lr_scheduler_type: linear
	- training_steps: 375

	### Training results

	\| Training Loss \| Epoch \| Step \| Validation Loss \|
	\|:-------------:\|:-----:\|:----:\|:---------------:\|
	\| No log \| 1.0 \| 1 \| 3.0323 \|
	\| No log \| 2.0 \| 2 \| 3.0014 \|
	\| No log \| 3.0 \| 3 \| 2.9748 \|
	\| No log \| 4.0 \| 4 \| 2.9521 \|
	\| No log \| 5.0 \| 5 \| 2.9321 \|
	\| No log \| 6.0 \| 6 \| 2.9143 \|
	\| No log \| 7.0 \| 7 \| 2.8985 \|
	\| No log \| 8.0 \| 8 \| 2.8840 \|
	\| No log \| 9.0 \| 9 \| 2.8708 \|
	\| 3.2243 \| 10.0 \| 10 \| 2.8585 \|
	\| 3.2243 \| 11.0 \| 11 \| 2.8466 \|
	\| 3.2243 \| 12.0 \| 12 \| 2.8353 \|
	\| 3.2243 \| 13.0 \| 13 \| 2.8244 \|
	\| 3.2243 \| 14.0 \| 14 \| 2.8137 \|
	\| 3.2243 \| 15.0 \| 15 \| 2.8033 \|
	\| 3.2243 \| 16.0 \| 16 \| 2.7937 \|
	\| 3.2243 \| 17.0 \| 17 \| 2.7849 \|
	\| 3.2243 \| 18.0 \| 18 \| 2.7768 \|
	\| 3.2243 \| 19.0 \| 19 \| 2.7694 \|
	\| 2.886 \| 20.0 \| 20 \| 2.7625 \|
	\| 2.886 \| 21.0 \| 21 \| 2.7558 \|
	\| 2.886 \| 22.0 \| 22 \| 2.7495 \|
	\| 2.886 \| 23.0 \| 23 \| 2.7437 \|
	\| 2.886 \| 24.0 \| 24 \| 2.7382 \|
	\| 2.886 \| 25.0 \| 25 \| 2.7328 \|
	\| 2.886 \| 26.0 \| 26 \| 2.7277 \|
	\| 2.886 \| 27.0 \| 27 \| 2.7228 \|
	\| 2.886 \| 28.0 \| 28 \| 2.7184 \|
	\| 2.886 \| 29.0 \| 29 \| 2.7143 \|
	\| 2.6559 \| 30.0 \| 30 \| 2.7104 \|
	\| 2.6559 \| 31.0 \| 31 \| 2.7070 \|
	\| 2.6559 \| 32.0 \| 32 \| 2.7038 \|
	\| 2.6559 \| 33.0 \| 33 \| 2.7009 \|
	\| 2.6559 \| 34.0 \| 34 \| 2.6978 \|
	\| 2.6559 \| 35.0 \| 35 \| 2.6951 \|
	\| 2.6559 \| 36.0 \| 36 \| 2.6927 \|
	\| 2.6559 \| 37.0 \| 37 \| 2.6902 \|
	\| 2.6559 \| 38.0 \| 38 \| 2.6879 \|
	\| 2.6559 \| 39.0 \| 39 \| 2.6859 \|
	\| 2.4547 \| 40.0 \| 40 \| 2.6839 \|
	\| 2.4547 \| 41.0 \| 41 \| 2.6822 \|
	\| 2.4547 \| 42.0 \| 42 \| 2.6807 \|
	\| 2.4547 \| 43.0 \| 43 \| 2.6792 \|
	\| 2.4547 \| 44.0 \| 44 \| 2.6775 \|
	\| 2.4547 \| 45.0 \| 45 \| 2.6761 \|
	\| 2.4547 \| 46.0 \| 46 \| 2.6748 \|
	\| 2.4547 \| 47.0 \| 47 \| 2.6741 \|
	\| 2.4547 \| 48.0 \| 48 \| 2.6738 \|
	\| 2.4547 \| 49.0 \| 49 \| 2.6737 \|
	\| 2.297 \| 50.0 \| 50 \| 2.6737 \|
	\| 2.297 \| 51.0 \| 51 \| 2.6737 \|
	\| 2.297 \| 52.0 \| 52 \| 2.6737 \|
	\| 2.297 \| 53.0 \| 53 \| 2.6734 \|
	\| 2.297 \| 54.0 \| 54 \| 2.6738 \|
	\| 2.297 \| 55.0 \| 55 \| 2.6744 \|
	\| 2.297 \| 56.0 \| 56 \| 2.6752 \|
	\| 2.297 \| 57.0 \| 57 \| 2.6765 \|
	\| 2.297 \| 58.0 \| 58 \| 2.6779 \|
	\| 2.297 \| 59.0 \| 59 \| 2.6792 \|
	\| 2.1517 \| 60.0 \| 60 \| 2.6800 \|
	\| 2.1517 \| 61.0 \| 61 \| 2.6811 \|
	\| 2.1517 \| 62.0 \| 62 \| 2.6815 \|
	\| 2.1517 \| 63.0 \| 63 \| 2.6820 \|
	\| 2.1517 \| 64.0 \| 64 \| 2.6828 \|
	\| 2.1517 \| 65.0 \| 65 \| 2.6842 \|
	\| 2.1517 \| 66.0 \| 66 \| 2.6852 \|
	\| 2.1517 \| 67.0 \| 67 \| 2.6862 \|
	\| 2.1517 \| 68.0 \| 68 \| 2.6866 \|
	\| 2.1517 \| 69.0 \| 69 \| 2.6867 \|
	\| 2.0233 \| 70.0 \| 70 \| 2.6875 \|
	\| 2.0233 \| 71.0 \| 71 \| 2.6883 \|
	\| 2.0233 \| 72.0 \| 72 \| 2.6899 \|
	\| 2.0233 \| 73.0 \| 73 \| 2.6918 \|
	\| 2.0233 \| 74.0 \| 74 \| 2.6943 \|
	\| 2.0233 \| 75.0 \| 75 \| 2.6963 \|
	\| 2.0233 \| 76.0 \| 76 \| 2.6985 \|
	\| 2.0233 \| 77.0 \| 77 \| 2.7009 \|
	\| 2.0233 \| 78.0 \| 78 \| 2.7033 \|
	\| 2.0233 \| 79.0 \| 79 \| 2.7062 \|
	\| 1.899 \| 80.0 \| 80 \| 2.7089 \|
	\| 1.899 \| 81.0 \| 81 \| 2.7122 \|
	\| 1.899 \| 82.0 \| 82 \| 2.7157 \|
	\| 1.899 \| 83.0 \| 83 \| 2.7191 \|
	\| 1.899 \| 84.0 \| 84 \| 2.7230 \|
	\| 1.899 \| 85.0 \| 85 \| 2.7267 \|
	\| 1.899 \| 86.0 \| 86 \| 2.7292 \|
	\| 1.899 \| 87.0 \| 87 \| 2.7318 \|
	\| 1.899 \| 88.0 \| 88 \| 2.7326 \|
	\| 1.899 \| 89.0 \| 89 \| 2.7328 \|
	\| 1.8018 \| 90.0 \| 90 \| 2.7328 \|
	\| 1.8018 \| 91.0 \| 91 \| 2.7325 \|
	\| 1.8018 \| 92.0 \| 92 \| 2.7333 \|
	\| 1.8018 \| 93.0 \| 93 \| 2.7347 \|
	\| 1.8018 \| 94.0 \| 94 \| 2.7372 \|
	\| 1.8018 \| 95.0 \| 95 \| 2.7399 \|
	\| 1.8018 \| 96.0 \| 96 \| 2.7438 \|
	\| 1.8018 \| 97.0 \| 97 \| 2.7483 \|
	\| 1.8018 \| 98.0 \| 98 \| 2.7522 \|
	\| 1.8018 \| 99.0 \| 99 \| 2.7560 \|
	\| 1.7204 \| 100.0 \| 100 \| 2.7602 \|
	\| 1.7204 \| 101.0 \| 101 \| 2.7642 \|
	\| 1.7204 \| 102.0 \| 102 \| 2.7673 \|
	\| 1.7204 \| 103.0 \| 103 \| 2.7714 \|
	\| 1.7204 \| 104.0 \| 104 \| 2.7748 \|
	\| 1.7204 \| 105.0 \| 105 \| 2.7779 \|
	\| 1.7204 \| 106.0 \| 106 \| 2.7795 \|
	\| 1.7204 \| 107.0 \| 107 \| 2.7821 \|
	\| 1.7204 \| 108.0 \| 108 \| 2.7837 \|
	\| 1.7204 \| 109.0 \| 109 \| 2.7844 \|
	\| 1.6329 \| 110.0 \| 110 \| 2.7858 \|
	\| 1.6329 \| 111.0 \| 111 \| 2.7889 \|
	\| 1.6329 \| 112.0 \| 112 \| 2.7926 \|
	\| 1.6329 \| 113.0 \| 113 \| 2.7967 \|
	\| 1.6329 \| 114.0 \| 114 \| 2.8012 \|
	\| 1.6329 \| 115.0 \| 115 \| 2.8056 \|
	\| 1.6329 \| 116.0 \| 116 \| 2.8107 \|
	\| 1.6329 \| 117.0 \| 117 \| 2.8161 \|
	\| 1.6329 \| 118.0 \| 118 \| 2.8217 \|
	\| 1.6329 \| 119.0 \| 119 \| 2.8263 \|
	\| 1.5426 \| 120.0 \| 120 \| 2.8313 \|
	\| 1.5426 \| 121.0 \| 121 \| 2.8359 \|
	\| 1.5426 \| 122.0 \| 122 \| 2.8410 \|
	\| 1.5426 \| 123.0 \| 123 \| 2.8460 \|
	\| 1.5426 \| 124.0 \| 124 \| 2.8503 \|
	\| 1.5426 \| 125.0 \| 125 \| 2.8551 \|
	\| 1.5426 \| 126.0 \| 126 \| 2.8581 \|
	\| 1.5426 \| 127.0 \| 127 \| 2.8607 \|
	\| 1.5426 \| 128.0 \| 128 \| 2.8638 \|
	\| 1.5426 \| 129.0 \| 129 \| 2.8649 \|
	\| 1.4806 \| 130.0 \| 130 \| 2.8652 \|
	\| 1.4806 \| 131.0 \| 131 \| 2.8658 \|
	\| 1.4806 \| 132.0 \| 132 \| 2.8661 \|
	\| 1.4806 \| 133.0 \| 133 \| 2.8679 \|
	\| 1.4806 \| 134.0 \| 134 \| 2.8711 \|
	\| 1.4806 \| 135.0 \| 135 \| 2.8742 \|
	\| 1.4806 \| 136.0 \| 136 \| 2.8769 \|
	\| 1.4806 \| 137.0 \| 137 \| 2.8805 \|
	\| 1.4806 \| 138.0 \| 138 \| 2.8848 \|
	\| 1.4806 \| 139.0 \| 139 \| 2.8910 \|
	\| 1.4225 \| 140.0 \| 140 \| 2.8969 \|
	\| 1.4225 \| 141.0 \| 141 \| 2.9047 \|
	\| 1.4225 \| 142.0 \| 142 \| 2.9119 \|
	\| 1.4225 \| 143.0 \| 143 \| 2.9190 \|
	\| 1.4225 \| 144.0 \| 144 \| 2.9258 \|
	\| 1.4225 \| 145.0 \| 145 \| 2.9333 \|
	\| 1.4225 \| 146.0 \| 146 \| 2.9406 \|
	\| 1.4225 \| 147.0 \| 147 \| 2.9476 \|
	\| 1.4225 \| 148.0 \| 148 \| 2.9547 \|
	\| 1.4225 \| 149.0 \| 149 \| 2.9615 \|
	\| 1.3577 \| 150.0 \| 150 \| 2.9674 \|
	\| 1.3577 \| 151.0 \| 151 \| 2.9735 \|
	\| 1.3577 \| 152.0 \| 152 \| 2.9799 \|
	\| 1.3577 \| 153.0 \| 153 \| 2.9856 \|
	\| 1.3577 \| 154.0 \| 154 \| 2.9907 \|
	\| 1.3577 \| 155.0 \| 155 \| 2.9933 \|
	\| 1.3577 \| 156.0 \| 156 \| 2.9952 \|
	\| 1.3577 \| 157.0 \| 157 \| 2.9961 \|
	\| 1.3577 \| 158.0 \| 158 \| 2.9969 \|
	\| 1.3577 \| 159.0 \| 159 \| 2.9983 \|
	\| 1.3091 \| 160.0 \| 160 \| 2.9997 \|
	\| 1.3091 \| 161.0 \| 161 \| 3.0013 \|
	\| 1.3091 \| 162.0 \| 162 \| 3.0031 \|
	\| 1.3091 \| 163.0 \| 163 \| 3.0046 \|
	\| 1.3091 \| 164.0 \| 164 \| 3.0063 \|
	\| 1.3091 \| 165.0 \| 165 \| 3.0085 \|
	\| 1.3091 \| 166.0 \| 166 \| 3.0117 \|
	\| 1.3091 \| 167.0 \| 167 \| 3.0149 \|
	\| 1.3091 \| 168.0 \| 168 \| 3.0182 \|
	\| 1.3091 \| 169.0 \| 169 \| 3.0234 \|
	\| 1.2555 \| 170.0 \| 170 \| 3.0283 \|
	\| 1.2555 \| 171.0 \| 171 \| 3.0347 \|
	\| 1.2555 \| 172.0 \| 172 \| 3.0402 \|
	\| 1.2555 \| 173.0 \| 173 \| 3.0444 \|
	\| 1.2555 \| 174.0 \| 174 \| 3.0474 \|
	\| 1.2555 \| 175.0 \| 175 \| 3.0506 \|
	\| 1.2555 \| 176.0 \| 176 \| 3.0541 \|
	\| 1.2555 \| 177.0 \| 177 \| 3.0587 \|
	\| 1.2555 \| 178.0 \| 178 \| 3.0638 \|
	\| 1.2555 \| 179.0 \| 179 \| 3.0681 \|
	\| 1.2212 \| 180.0 \| 180 \| 3.0716 \|
	\| 1.2212 \| 181.0 \| 181 \| 3.0763 \|
	\| 1.2212 \| 182.0 \| 182 \| 3.0801 \|
	\| 1.2212 \| 183.0 \| 183 \| 3.0839 \|
	\| 1.2212 \| 184.0 \| 184 \| 3.0882 \|
	\| 1.2212 \| 185.0 \| 185 \| 3.0935 \|
	\| 1.2212 \| 186.0 \| 186 \| 3.0991 \|
	\| 1.2212 \| 187.0 \| 187 \| 3.1058 \|
	\| 1.2212 \| 188.0 \| 188 \| 3.1132 \|
	\| 1.2212 \| 189.0 \| 189 \| 3.1182 \|
	\| 1.1692 \| 190.0 \| 190 \| 3.1226 \|
	\| 1.1692 \| 191.0 \| 191 \| 3.1272 \|
	\| 1.1692 \| 192.0 \| 192 \| 3.1332 \|
	\| 1.1692 \| 193.0 \| 193 \| 3.1396 \|
	\| 1.1692 \| 194.0 \| 194 \| 3.1446 \|
	\| 1.1692 \| 195.0 \| 195 \| 3.1485 \|
	\| 1.1692 \| 196.0 \| 196 \| 3.1525 \|
	\| 1.1692 \| 197.0 \| 197 \| 3.1551 \|
	\| 1.1692 \| 198.0 \| 198 \| 3.1563 \|
	\| 1.1692 \| 199.0 \| 199 \| 3.1571 \|
	\| 1.1401 \| 200.0 \| 200 \| 3.1570 \|
	\| 1.1401 \| 201.0 \| 201 \| 3.1568 \|
	\| 1.1401 \| 202.0 \| 202 \| 3.1568 \|
	\| 1.1401 \| 203.0 \| 203 \| 3.1575 \|
	\| 1.1401 \| 204.0 \| 204 \| 3.1597 \|
	\| 1.1401 \| 205.0 \| 205 \| 3.1628 \|
	\| 1.1401 \| 206.0 \| 206 \| 3.1658 \|
	\| 1.1401 \| 207.0 \| 207 \| 3.1691 \|
	\| 1.1401 \| 208.0 \| 208 \| 3.1724 \|
	\| 1.1401 \| 209.0 \| 209 \| 3.1752 \|
	\| 1.1036 \| 210.0 \| 210 \| 3.1793 \|
	\| 1.1036 \| 211.0 \| 211 \| 3.1832 \|
	\| 1.1036 \| 212.0 \| 212 \| 3.1890 \|
	\| 1.1036 \| 213.0 \| 213 \| 3.1951 \|
	\| 1.1036 \| 214.0 \| 214 \| 3.2021 \|
	\| 1.1036 \| 215.0 \| 215 \| 3.2082 \|
	\| 1.1036 \| 216.0 \| 216 \| 3.2148 \|
	\| 1.1036 \| 217.0 \| 217 \| 3.2227 \|
	\| 1.1036 \| 218.0 \| 218 \| 3.2294 \|
	\| 1.1036 \| 219.0 \| 219 \| 3.2364 \|
	\| 1.063 \| 220.0 \| 220 \| 3.2406 \|
	\| 1.063 \| 221.0 \| 221 \| 3.2433 \|
	\| 1.063 \| 222.0 \| 222 \| 3.2458 \|
	\| 1.063 \| 223.0 \| 223 \| 3.2474 \|
	\| 1.063 \| 224.0 \| 224 \| 3.2486 \|
	\| 1.063 \| 225.0 \| 225 \| 3.2484 \|
	\| 1.063 \| 226.0 \| 226 \| 3.2505 \|
	\| 1.063 \| 227.0 \| 227 \| 3.2519 \|
	\| 1.063 \| 228.0 \| 228 \| 3.2522 \|
	\| 1.063 \| 229.0 \| 229 \| 3.2527 \|
	\| 1.0407 \| 230.0 \| 230 \| 3.2534 \|
	\| 1.0407 \| 231.0 \| 231 \| 3.2542 \|
	\| 1.0407 \| 232.0 \| 232 \| 3.2545 \|
	\| 1.0407 \| 233.0 \| 233 \| 3.2567 \|
	\| 1.0407 \| 234.0 \| 234 \| 3.2595 \|
	\| 1.0407 \| 235.0 \| 235 \| 3.2635 \|
	\| 1.0407 \| 236.0 \| 236 \| 3.2681 \|
	\| 1.0407 \| 237.0 \| 237 \| 3.2739 \|
	\| 1.0407 \| 238.0 \| 238 \| 3.2789 \|
	\| 1.0407 \| 239.0 \| 239 \| 3.2845 \|
	\| 1.0236 \| 240.0 \| 240 \| 3.2895 \|
	\| 1.0236 \| 241.0 \| 241 \| 3.2955 \|
	\| 1.0236 \| 242.0 \| 242 \| 3.3016 \|
	\| 1.0236 \| 243.0 \| 243 \| 3.3069 \|
	\| 1.0236 \| 244.0 \| 244 \| 3.3102 \|
	\| 1.0236 \| 245.0 \| 245 \| 3.3137 \|
	\| 1.0236 \| 246.0 \| 246 \| 3.3181 \|
	\| 1.0236 \| 247.0 \| 247 \| 3.3216 \|
	\| 1.0236 \| 248.0 \| 248 \| 3.3238 \|
	\| 1.0236 \| 249.0 \| 249 \| 3.3258 \|
	\| 0.9908 \| 250.0 \| 250 \| 3.3291 \|
	\| 0.9908 \| 251.0 \| 251 \| 3.3333 \|
	\| 0.9908 \| 252.0 \| 252 \| 3.3374 \|
	\| 0.9908 \| 253.0 \| 253 \| 3.3410 \|
	\| 0.9908 \| 254.0 \| 254 \| 3.3438 \|
	\| 0.9908 \| 255.0 \| 255 \| 3.3480 \|
	\| 0.9908 \| 256.0 \| 256 \| 3.3525 \|
	\| 0.9908 \| 257.0 \| 257 \| 3.3556 \|
	\| 0.9908 \| 258.0 \| 258 \| 3.3572 \|
	\| 0.9908 \| 259.0 \| 259 \| 3.3589 \|
	\| 0.9643 \| 260.0 \| 260 \| 3.3604 \|
	\| 0.9643 \| 261.0 \| 261 \| 3.3609 \|
	\| 0.9643 \| 262.0 \| 262 \| 3.3613 \|
	\| 0.9643 \| 263.0 \| 263 \| 3.3626 \|
	\| 0.9643 \| 264.0 \| 264 \| 3.3647 \|
	\| 0.9643 \| 265.0 \| 265 \| 3.3669 \|
	\| 0.9643 \| 266.0 \| 266 \| 3.3699 \|
	\| 0.9643 \| 267.0 \| 267 \| 3.3733 \|
	\| 0.9643 \| 268.0 \| 268 \| 3.3772 \|
	\| 0.9643 \| 269.0 \| 269 \| 3.3801 \|
	\| 0.9543 \| 270.0 \| 270 \| 3.3835 \|
	\| 0.9543 \| 271.0 \| 271 \| 3.3867 \|
	\| 0.9543 \| 272.0 \| 272 \| 3.3902 \|
	\| 0.9543 \| 273.0 \| 273 \| 3.3935 \|
	\| 0.9543 \| 274.0 \| 274 \| 3.3974 \|
	\| 0.9543 \| 275.0 \| 275 \| 3.4006 \|
	\| 0.9543 \| 276.0 \| 276 \| 3.4037 \|
	\| 0.9543 \| 277.0 \| 277 \| 3.4068 \|
	\| 0.9543 \| 278.0 \| 278 \| 3.4087 \|
	\| 0.9543 \| 279.0 \| 279 \| 3.4107 \|
	\| 0.9381 \| 280.0 \| 280 \| 3.4118 \|
	\| 0.9381 \| 281.0 \| 281 \| 3.4127 \|
	\| 0.9381 \| 282.0 \| 282 \| 3.4131 \|
	\| 0.9381 \| 283.0 \| 283 \| 3.4143 \|
	\| 0.9381 \| 284.0 \| 284 \| 3.4152 \|
	\| 0.9381 \| 285.0 \| 285 \| 3.4164 \|
	\| 0.9381 \| 286.0 \| 286 \| 3.4180 \|
	\| 0.9381 \| 287.0 \| 287 \| 3.4196 \|
	\| 0.9381 \| 288.0 \| 288 \| 3.4224 \|
	\| 0.9381 \| 289.0 \| 289 \| 3.4259 \|
	\| 0.9228 \| 290.0 \| 290 \| 3.4285 \|
	\| 0.9228 \| 291.0 \| 291 \| 3.4313 \|
	\| 0.9228 \| 292.0 \| 292 \| 3.4340 \|
	\| 0.9228 \| 293.0 \| 293 \| 3.4359 \|
	\| 0.9228 \| 294.0 \| 294 \| 3.4371 \|
	\| 0.9228 \| 295.0 \| 295 \| 3.4385 \|
	\| 0.9228 \| 296.0 \| 296 \| 3.4395 \|
	\| 0.9228 \| 297.0 \| 297 \| 3.4399 \|
	\| 0.9228 \| 298.0 \| 298 \| 3.4400 \|
	\| 0.9228 \| 299.0 \| 299 \| 3.4403 \|
	\| 0.9105 \| 300.0 \| 300 \| 3.4410 \|
	\| 0.9105 \| 301.0 \| 301 \| 3.4422 \|
	\| 0.9105 \| 302.0 \| 302 \| 3.4429 \|
	\| 0.9105 \| 303.0 \| 303 \| 3.4441 \|
	\| 0.9105 \| 304.0 \| 304 \| 3.4448 \|
	\| 0.9105 \| 305.0 \| 305 \| 3.4452 \|
	\| 0.9105 \| 306.0 \| 306 \| 3.4456 \|
	\| 0.9105 \| 307.0 \| 307 \| 3.4459 \|
	\| 0.9105 \| 308.0 \| 308 \| 3.4469 \|
	\| 0.9105 \| 309.0 \| 309 \| 3.4480 \|
	\| 0.8954 \| 310.0 \| 310 \| 3.4497 \|
	\| 0.8954 \| 311.0 \| 311 \| 3.4513 \|
	\| 0.8954 \| 312.0 \| 312 \| 3.4527 \|
	\| 0.8954 \| 313.0 \| 313 \| 3.4547 \|
	\| 0.8954 \| 314.0 \| 314 \| 3.4567 \|
	\| 0.8954 \| 315.0 \| 315 \| 3.4591 \|
	\| 0.8954 \| 316.0 \| 316 \| 3.4613 \|
	\| 0.8954 \| 317.0 \| 317 \| 3.4634 \|
	\| 0.8954 \| 318.0 \| 318 \| 3.4649 \|
	\| 0.8954 \| 319.0 \| 319 \| 3.4659 \|
	\| 0.881 \| 320.0 \| 320 \| 3.4672 \|
	\| 0.881 \| 321.0 \| 321 \| 3.4684 \|
	\| 0.881 \| 322.0 \| 322 \| 3.4698 \|
	\| 0.881 \| 323.0 \| 323 \| 3.4707 \|
	\| 0.881 \| 324.0 \| 324 \| 3.4716 \|
	\| 0.881 \| 325.0 \| 325 \| 3.4722 \|
	\| 0.881 \| 326.0 \| 326 \| 3.4723 \|
	\| 0.881 \| 327.0 \| 327 \| 3.4729 \|
	\| 0.881 \| 328.0 \| 328 \| 3.4730 \|
	\| 0.881 \| 329.0 \| 329 \| 3.4733 \|
	\| 0.8773 \| 330.0 \| 330 \| 3.4737 \|
	\| 0.8773 \| 331.0 \| 331 \| 3.4750 \|
	\| 0.8773 \| 332.0 \| 332 \| 3.4764 \|
	\| 0.8773 \| 333.0 \| 333 \| 3.4775 \|
	\| 0.8773 \| 334.0 \| 334 \| 3.4786 \|
	\| 0.8773 \| 335.0 \| 335 \| 3.4799 \|
	\| 0.8773 \| 336.0 \| 336 \| 3.4809 \|
	\| 0.8773 \| 337.0 \| 337 \| 3.4816 \|
	\| 0.8773 \| 338.0 \| 338 \| 3.4822 \|
	\| 0.8773 \| 339.0 \| 339 \| 3.4826 \|
	\| 0.8711 \| 340.0 \| 340 \| 3.4828 \|
	\| 0.8711 \| 341.0 \| 341 \| 3.4832 \|
	\| 0.8711 \| 342.0 \| 342 \| 3.4836 \|
	\| 0.8711 \| 343.0 \| 343 \| 3.4842 \|
	\| 0.8711 \| 344.0 \| 344 \| 3.4845 \|
	\| 0.8711 \| 345.0 \| 345 \| 3.4847 \|
	\| 0.8711 \| 346.0 \| 346 \| 3.4848 \|
	\| 0.8711 \| 347.0 \| 347 \| 3.4848 \|
	\| 0.8711 \| 348.0 \| 348 \| 3.4851 \|
	\| 0.8711 \| 349.0 \| 349 \| 3.4854 \|
	\| 0.8665 \| 350.0 \| 350 \| 3.4859 \|
	\| 0.8665 \| 351.0 \| 351 \| 3.4861 \|
	\| 0.8665 \| 352.0 \| 352 \| 3.4866 \|
	\| 0.8665 \| 353.0 \| 353 \| 3.4870 \|
	\| 0.8665 \| 354.0 \| 354 \| 3.4875 \|
	\| 0.8665 \| 355.0 \| 355 \| 3.4880 \|
	\| 0.8665 \| 356.0 \| 356 \| 3.4885 \|
	\| 0.8665 \| 357.0 \| 357 \| 3.4890 \|
	\| 0.8665 \| 358.0 \| 358 \| 3.4896 \|
	\| 0.8665 \| 359.0 \| 359 \| 3.4903 \|
	\| 0.8569 \| 360.0 \| 360 \| 3.4909 \|
	\| 0.8569 \| 361.0 \| 361 \| 3.4914 \|
	\| 0.8569 \| 362.0 \| 362 \| 3.4918 \|
	\| 0.8569 \| 363.0 \| 363 \| 3.4922 \|
	\| 0.8569 \| 364.0 \| 364 \| 3.4926 \|
	\| 0.8569 \| 365.0 \| 365 \| 3.4930 \|
	\| 0.8569 \| 366.0 \| 366 \| 3.4933 \|
	\| 0.8569 \| 367.0 \| 367 \| 3.4936 \|
	\| 0.8569 \| 368.0 \| 368 \| 3.4939 \|
	\| 0.8569 \| 369.0 \| 369 \| 3.4942 \|
	\| 0.8623 \| 370.0 \| 370 \| 3.4945 \|
	\| 0.8623 \| 371.0 \| 371 \| 3.4947 \|
	\| 0.8623 \| 372.0 \| 372 \| 3.4949 \|
	\| 0.8623 \| 373.0 \| 373 \| 3.4950 \|
	\| 0.8623 \| 374.0 \| 374 \| 3.4951 \|
	\| 0.8623 \| 375.0 \| 375 \| 3.4951 \|


	### Framework versions

	- Transformers 4.49.0
	- Pytorch 2.6.0+cu124
	- Datasets 3.4.1
	- Tokenizers 0.21.1