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fine-tuned-roberta2-nosql-injection
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0134
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2572 | 1.0 | 158 | 0.2235 |
| 0.1144 | 2.0 | 316 | 0.0546 |
| 0.0873 | 3.0 | 474 | 0.0943 |
| 0.0488 | 4.0 | 632 | 0.0324 |
| 0.0453 | 5.0 | 790 | 0.0970 |
| 0.1358 | 6.0 | 948 | 0.0003 |
| 0.0208 | 7.0 | 1106 | 0.0025 |
| 0.0409 | 8.0 | 1264 | 0.0000 |
| 0.0489 | 9.0 | 1422 | 0.0505 |
| 0.0808 | 10.0 | 1580 | 0.0000 |
| 0.0219 | 11.0 | 1738 | 0.0929 |
| 0.1204 | 12.0 | 1896 | 0.0000 |
| 0.0355 | 13.0 | 2054 | 0.0001 |
| 0.0093 | 14.0 | 2212 | 0.0671 |
| 0.0216 | 15.0 | 2370 | 0.0279 |
| 0.0388 | 16.0 | 2528 | 0.0173 |
| 0.0185 | 17.0 | 2686 | 0.0303 |
| 0.0069 | 18.0 | 2844 | 0.0160 |
| 0.0481 | 19.0 | 3002 | 0.0557 |
| 0.0459 | 20.0 | 3160 | 0.0022 |
| 0.0146 | 21.0 | 3318 | 0.0191 |
| 0.0313 | 22.0 | 3476 | 0.1119 |
| 0.025 | 23.0 | 3634 | 0.0000 |
| 0.0328 | 24.0 | 3792 | 0.0559 |
| 0.0251 | 25.0 | 3950 | 0.0343 |
| 0.0334 | 26.0 | 4108 | 0.0263 |
| 0.0048 | 27.0 | 4266 | 0.0424 |
| 0.0584 | 28.0 | 4424 | 0.0578 |
| 0.0861 | 29.0 | 4582 | 0.0495 |
| 0.0345 | 30.0 | 4740 | 0.0282 |
| 0.0193 | 31.0 | 4898 | 0.0412 |
| 0.0216 | 32.0 | 5056 | 0.0537 |
| 0.0241 | 33.0 | 5214 | 0.0124 |
| 0.009 | 34.0 | 5372 | 0.0272 |
| 0.0309 | 35.0 | 5530 | 0.0000 |
| 0.0069 | 36.0 | 5688 | 0.0000 |
| 0.0398 | 37.0 | 5846 | 0.0000 |
| 0.0474 | 38.0 | 6004 | 0.0017 |
| 0.0263 | 39.0 | 6162 | 0.0094 |
| 0.0128 | 40.0 | 6320 | 0.0000 |
| 0.0101 | 41.0 | 6478 | 0.0015 |
| 0.0415 | 42.0 | 6636 | 0.0004 |
| 0.0204 | 43.0 | 6794 | 0.0307 |
| 0.0342 | 44.0 | 6952 | 0.0348 |
| 0.0103 | 45.0 | 7110 | 0.0344 |
| 0.0389 | 46.0 | 7268 | 0.0238 |
| 0.0108 | 47.0 | 7426 | 0.0651 |
| 0.0486 | 48.0 | 7584 | 0.0290 |
| 0.0131 | 49.0 | 7742 | 0.0130 |
| 0.0027 | 50.0 | 7900 | 0.1448 |
| 0.0119 | 51.0 | 8058 | 0.0034 |
| 0.0142 | 52.0 | 8216 | 0.0014 |
| 0.0123 | 53.0 | 8374 | 0.0292 |
| 0.0364 | 54.0 | 8532 | 0.0000 |
| 0.0541 | 55.0 | 8690 | 0.0000 |
| 0.0309 | 56.0 | 8848 | 0.0032 |
| 0.0278 | 57.0 | 9006 | 0.0124 |
| 0.0247 | 58.0 | 9164 | 0.0000 |
| 0.0077 | 59.0 | 9322 | 0.0000 |
| 0.0104 | 60.0 | 9480 | 0.0150 |
| 0.0302 | 61.0 | 9638 | 0.0003 |
| 0.0225 | 62.0 | 9796 | 0.0358 |
| 0.0296 | 63.0 | 9954 | 0.0000 |
| 0.0533 | 64.0 | 10112 | 0.1224 |
| 0.0121 | 65.0 | 10270 | 0.0092 |
| 0.0249 | 66.0 | 10428 | 0.0087 |
| 0.0637 | 67.0 | 10586 | 0.0003 |
| 0.035 | 68.0 | 10744 | 0.0000 |
| 0.0117 | 69.0 | 10902 | 0.0393 |
| 0.0049 | 70.0 | 11060 | 0.0209 |
| 0.0225 | 71.0 | 11218 | 0.0003 |
| 0.0121 | 72.0 | 11376 | 0.0001 |
| 0.0079 | 73.0 | 11534 | 0.0006 |
| 0.0354 | 74.0 | 11692 | 0.0458 |
| 0.0071 | 75.0 | 11850 | 0.0009 |
| 0.0043 | 76.0 | 12008 | 0.0290 |
| 0.0239 | 77.0 | 12166 | 0.0001 |
| 0.0159 | 78.0 | 12324 | 0.0162 |
| 0.0051 | 79.0 | 12482 | 0.0673 |
| 0.0028 | 80.0 | 12640 | 0.0275 |
| 0.0155 | 81.0 | 12798 | 0.0101 |
| 0.0068 | 82.0 | 12956 | 0.0271 |
| 0.006 | 83.0 | 13114 | 0.0120 |
| 0.0107 | 84.0 | 13272 | 0.0008 |
| 0.0122 | 85.0 | 13430 | 0.0124 |
| 0.0028 | 86.0 | 13588 | 0.0000 |
| 0.0256 | 87.0 | 13746 | 0.0011 |
| 0.037 | 88.0 | 13904 | 0.0213 |
| 0.0044 | 89.0 | 14062 | 0.0000 |
| 0.003 | 90.0 | 14220 | 0.0000 |
| 0.0072 | 91.0 | 14378 | 0.0381 |
| 0.0309 | 92.0 | 14536 | 0.0000 |
| 0.0123 | 93.0 | 14694 | 0.0117 |
| 0.0002 | 94.0 | 14852 | 0.0024 |
| 0.0033 | 95.0 | 15010 | 0.0002 |
| 0.0181 | 96.0 | 15168 | 0.0071 |
| 0.0167 | 97.0 | 15326 | 0.0219 |
| 0.0136 | 98.0 | 15484 | 0.0001 |
| 0.0116 | 99.0 | 15642 | 0.0189 |
| 0.0118 | 100.0 | 15800 | 0.0000 |
| 0.0345 | 101.0 | 15958 | 0.0006 |
| 0.0032 | 102.0 | 16116 | 0.0355 |
| 0.0003 | 103.0 | 16274 | 0.0484 |
| 0.0281 | 104.0 | 16432 | 0.0000 |
| 0.029 | 105.0 | 16590 | 0.0319 |
| 0.006 | 106.0 | 16748 | 0.0016 |
| 0.0001 | 107.0 | 16906 | 0.0608 |
| 0.024 | 108.0 | 17064 | 0.0000 |
| 0.0187 | 109.0 | 17222 | 0.0000 |
| 0.0038 | 110.0 | 17380 | 0.0000 |
| 0.0046 | 111.0 | 17538 | 0.0045 |
| 0.0024 | 112.0 | 17696 | 0.0000 |
| 0.033 | 113.0 | 17854 | 0.0001 |
| 0.0048 | 114.0 | 18012 | 0.0511 |
| 0.0005 | 115.0 | 18170 | 0.0000 |
| 0.0166 | 116.0 | 18328 | 0.0000 |
| 0.0113 | 117.0 | 18486 | 0.0122 |
| 0.0043 | 118.0 | 18644 | 0.0122 |
| 0.0703 | 119.0 | 18802 | 0.0013 |
| 0.0051 | 120.0 | 18960 | 0.0009 |
| 0.048 | 121.0 | 19118 | 0.0082 |
| 0.0408 | 122.0 | 19276 | 0.0137 |
| 0.018 | 123.0 | 19434 | 0.0365 |
| 0.0125 | 124.0 | 19592 | 0.0111 |
| 0.0075 | 125.0 | 19750 | 0.0179 |
| 0.0379 | 126.0 | 19908 | 0.0000 |
| 0.0029 | 127.0 | 20066 | 0.0181 |
| 0.007 | 128.0 | 20224 | 0.0610 |
| 0.0069 | 129.0 | 20382 | 0.0203 |
| 0.0082 | 130.0 | 20540 | 0.0000 |
| 0.0136 | 131.0 | 20698 | 0.1019 |
| 0.0152 | 132.0 | 20856 | 0.0000 |
| 0.0078 | 133.0 | 21014 | 0.0089 |
| 0.0003 | 134.0 | 21172 | 0.0000 |
| 0.0069 | 135.0 | 21330 | 0.0278 |
| 0.0089 | 136.0 | 21488 | 0.0330 |
| 0.0642 | 137.0 | 21646 | 0.0251 |
| 0.0077 | 138.0 | 21804 | 0.0015 |
| 0.0062 | 139.0 | 21962 | 0.0218 |
| 0.0203 | 140.0 | 22120 | 0.0032 |
| 0.0173 | 141.0 | 22278 | 0.0000 |
| 0.0149 | 142.0 | 22436 | 0.0231 |
| 0.011 | 143.0 | 22594 | 0.0218 |
| 0.0142 | 144.0 | 22752 | 0.0068 |
| 0.0075 | 145.0 | 22910 | 0.0067 |
| 0.0021 | 146.0 | 23068 | 0.0172 |
| 0.009 | 147.0 | 23226 | 0.0134 |
| 0.0072 | 148.0 | 23384 | 0.0050 |
| 0.0297 | 149.0 | 23542 | 0.0162 |
| 0.0189 | 150.0 | 23700 | 0.0000 |
| 0.0065 | 151.0 | 23858 | 0.0006 |
| 0.0423 | 152.0 | 24016 | 0.0102 |
| 0.0001 | 153.0 | 24174 | 0.0147 |
| 0.0607 | 154.0 | 24332 | 0.0062 |
| 0.0247 | 155.0 | 24490 | 0.0000 |
| 0.0187 | 156.0 | 24648 | 0.0000 |
| 0.025 | 157.0 | 24806 | 0.0278 |
| 0.0069 | 158.0 | 24964 | 0.0002 |
| 0.0024 | 159.0 | 25122 | 0.0002 |
| 0.0194 | 160.0 | 25280 | 0.0000 |
| 0.0072 | 161.0 | 25438 | 0.0000 |
| 0.0552 | 162.0 | 25596 | 0.0304 |
| 0.0114 | 163.0 | 25754 | 0.0184 |
| 0.001 | 164.0 | 25912 | 0.0000 |
| 0.0076 | 165.0 | 26070 | 0.0004 |
| 0.0158 | 166.0 | 26228 | 0.0000 |
| 0.0017 | 167.0 | 26386 | 0.0145 |
| 0.0009 | 168.0 | 26544 | 0.0436 |
| 0.0199 | 169.0 | 26702 | 0.0147 |
| 0.0067 | 170.0 | 26860 | 0.0003 |
| 0.0082 | 171.0 | 27018 | 0.0151 |
| 0.0079 | 172.0 | 27176 | 0.0018 |
| 0.0016 | 173.0 | 27334 | 0.0002 |
| 0.0095 | 174.0 | 27492 | 0.0152 |
| 0.0166 | 175.0 | 27650 | 0.0000 |
| 0.0018 | 176.0 | 27808 | 0.0495 |
| 0.0025 | 177.0 | 27966 | 0.0824 |
| 0.01 | 178.0 | 28124 | 0.0000 |
| 0.0054 | 179.0 | 28282 | 0.0072 |
| 0.0082 | 180.0 | 28440 | 0.0019 |
| 0.0 | 181.0 | 28598 | 0.0131 |
| 0.0034 | 182.0 | 28756 | 0.0163 |
| 0.0083 | 183.0 | 28914 | 0.0175 |
| 0.0035 | 184.0 | 29072 | 0.0111 |
| 0.009 | 185.0 | 29230 | 0.0004 |
| 0.015 | 186.0 | 29388 | 0.0000 |
| 0.0011 | 187.0 | 29546 | 0.0182 |
| 0.0142 | 188.0 | 29704 | 0.0581 |
| 0.0048 | 189.0 | 29862 | 0.0002 |
| 0.0021 | 190.0 | 30020 | 0.0002 |
| 0.0 | 191.0 | 30178 | 0.0334 |
| 0.016 | 192.0 | 30336 | 0.0003 |
| 0.0109 | 193.0 | 30494 | 0.0000 |
| 0.0085 | 194.0 | 30652 | 0.0028 |
| 0.002 | 195.0 | 30810 | 0.0000 |
| 0.002 | 196.0 | 30968 | 0.0144 |
| 0.0142 | 197.0 | 31126 | 0.0000 |
| 0.0727 | 198.0 | 31284 | 0.0163 |
| 0.0238 | 199.0 | 31442 | 0.0000 |
| 0.0171 | 200.0 | 31600 | 0.0141 |
| 0.0158 | 201.0 | 31758 | 0.0000 |
| 0.0049 | 202.0 | 31916 | 0.0086 |
| 0.0016 | 203.0 | 32074 | 0.0000 |
| 0.0088 | 204.0 | 32232 | 0.0007 |
| 0.0048 | 205.0 | 32390 | 0.0164 |
| 0.0103 | 206.0 | 32548 | 0.0080 |
| 0.0039 | 207.0 | 32706 | 0.0441 |
| 0.0041 | 208.0 | 32864 | 0.0000 |
| 0.027 | 209.0 | 33022 | 0.0004 |
| 0.0229 | 210.0 | 33180 | 0.0149 |
| 0.01 | 211.0 | 33338 | 0.0154 |
| 0.0036 | 212.0 | 33496 | 0.0191 |
| 0.0036 | 213.0 | 33654 | 0.0491 |
| 0.0316 | 214.0 | 33812 | 0.0000 |
| 0.0014 | 215.0 | 33970 | 0.0198 |
| 0.0097 | 216.0 | 34128 | 0.0000 |
| 0.0011 | 217.0 | 34286 | 0.0001 |
| 0.0063 | 218.0 | 34444 | 0.0010 |
| 0.0143 | 219.0 | 34602 | 0.0243 |
| 0.0022 | 220.0 | 34760 | 0.0275 |
| 0.002 | 221.0 | 34918 | 0.0000 |
| 0.0095 | 222.0 | 35076 | 0.0119 |
| 0.0016 | 223.0 | 35234 | 0.0001 |
| 0.0165 | 224.0 | 35392 | 0.0000 |
| 0.0106 | 225.0 | 35550 | 0.0279 |
| 0.0316 | 226.0 | 35708 | 0.0006 |
| 0.0041 | 227.0 | 35866 | 0.0000 |
| 0.0492 | 228.0 | 36024 | 0.0123 |
| 0.0034 | 229.0 | 36182 | 0.0196 |
| 0.0035 | 230.0 | 36340 | 0.0113 |
| 0.0197 | 231.0 | 36498 | 0.0000 |
| 0.0234 | 232.0 | 36656 | 0.0026 |
| 0.0102 | 233.0 | 36814 | 0.0250 |
| 0.0113 | 234.0 | 36972 | 0.0001 |
| 0.0008 | 235.0 | 37130 | 0.0000 |
| 0.0032 | 236.0 | 37288 | 0.0001 |
| 0.1045 | 237.0 | 37446 | 0.0000 |
| 0.0028 | 238.0 | 37604 | 0.0143 |
| 0.0028 | 239.0 | 37762 | 0.0143 |
| 0.0002 | 240.0 | 37920 | 0.0171 |
| 0.0302 | 241.0 | 38078 | 0.0406 |
| 0.0046 | 242.0 | 38236 | 0.0273 |
| 0.0124 | 243.0 | 38394 | 0.0754 |
| 0.0055 | 244.0 | 38552 | 0.0396 |
| 0.0102 | 245.0 | 38710 | 0.0003 |
| 0.0139 | 246.0 | 38868 | 0.0201 |
| 0.0367 | 247.0 | 39026 | 0.0343 |
| 0.0216 | 248.0 | 39184 | 0.0015 |
| 0.0091 | 249.0 | 39342 | 0.0637 |
| 0.0115 | 250.0 | 39500 | 0.0053 |
| 0.0254 | 251.0 | 39658 | 0.0299 |
| 0.0202 | 252.0 | 39816 | 0.0011 |
| 0.0005 | 253.0 | 39974 | 0.0181 |
| 0.0024 | 254.0 | 40132 | 0.0223 |
| 0.0002 | 255.0 | 40290 | 0.0001 |
| 0.0102 | 256.0 | 40448 | 0.0593 |
| 0.0133 | 257.0 | 40606 | 0.0000 |
| 0.0051 | 258.0 | 40764 | 0.0001 |
| 0.0027 | 259.0 | 40922 | 0.0225 |
| 0.0053 | 260.0 | 41080 | 0.0000 |
| 0.0073 | 261.0 | 41238 | 0.0108 |
| 0.0033 | 262.0 | 41396 | 0.0118 |
| 0.0024 | 263.0 | 41554 | 0.0233 |
| 0.02 | 264.0 | 41712 | 0.0236 |
| 0.0078 | 265.0 | 41870 | 0.0180 |
| 0.0117 | 266.0 | 42028 | 0.0000 |
| 0.0156 | 267.0 | 42186 | 0.0000 |
| 0.0041 | 268.0 | 42344 | 0.0009 |
| 0.0003 | 269.0 | 42502 | 0.0108 |
| 0.0049 | 270.0 | 42660 | 0.0000 |
| 0.0021 | 271.0 | 42818 | 0.0174 |
| 0.0083 | 272.0 | 42976 | 0.0201 |
| 0.0002 | 273.0 | 43134 | 0.0371 |
| 0.0219 | 274.0 | 43292 | 0.0000 |
| 0.0014 | 275.0 | 43450 | 0.0156 |
| 0.0102 | 276.0 | 43608 | 0.0002 |
| 0.0311 | 277.0 | 43766 | 0.0008 |
| 0.0115 | 278.0 | 43924 | 0.0269 |
| 0.0122 | 279.0 | 44082 | 0.0131 |
| 0.0021 | 280.0 | 44240 | 0.0000 |
| 0.0032 | 281.0 | 44398 | 0.0157 |
| 0.0079 | 282.0 | 44556 | 0.0146 |
| 0.0344 | 283.0 | 44714 | 0.0142 |
| 0.0086 | 284.0 | 44872 | 0.0000 |
| 0.0045 | 285.0 | 45030 | 0.0011 |
| 0.0077 | 286.0 | 45188 | 0.0117 |
| 0.0026 | 287.0 | 45346 | 0.0006 |
| 0.0042 | 288.0 | 45504 | 0.0069 |
| 0.0528 | 289.0 | 45662 | 0.0199 |
| 0.0162 | 290.0 | 45820 | 0.0090 |
| 0.0598 | 291.0 | 45978 | 0.0000 |
| 0.0293 | 292.0 | 46136 | 0.0142 |
| 0.0021 | 293.0 | 46294 | 0.0330 |
| 0.0073 | 294.0 | 46452 | 0.0029 |
| 0.0006 | 295.0 | 46610 | 0.0007 |
| 0.0065 | 296.0 | 46768 | 0.0005 |
| 0.0075 | 297.0 | 46926 | 0.0371 |
| 0.0017 | 298.0 | 47084 | 0.0001 |
| 0.0023 | 299.0 | 47242 | 0.0442 |
| 0.0059 | 300.0 | 47400 | 0.0000 |
| 0.0041 | 301.0 | 47558 | 0.0198 |
| 0.0372 | 302.0 | 47716 | 0.0123 |
| 0.0004 | 303.0 | 47874 | 0.0177 |
| 0.0008 | 304.0 | 48032 | 0.0172 |
| 0.0002 | 305.0 | 48190 | 0.0005 |
| 0.0064 | 306.0 | 48348 | 0.0000 |
| 0.0116 | 307.0 | 48506 | 0.0142 |
| 0.0113 | 308.0 | 48664 | 0.0054 |
| 0.0046 | 309.0 | 48822 | 0.0090 |
| 0.0026 | 310.0 | 48980 | 0.0118 |
| 0.0051 | 311.0 | 49138 | 0.0012 |
| 0.0027 | 312.0 | 49296 | 0.0099 |
| 0.0031 | 313.0 | 49454 | 0.0104 |
| 0.0031 | 314.0 | 49612 | 0.0098 |
| 0.0085 | 315.0 | 49770 | 0.0115 |
| 0.0023 | 316.0 | 49928 | 0.0000 |
| 0.0143 | 317.0 | 50086 | 0.0000 |
| 0.0003 | 318.0 | 50244 | 0.0090 |
| 0.0179 | 319.0 | 50402 | 0.0124 |
| 0.0012 | 320.0 | 50560 | 0.0010 |
| 0.009 | 321.0 | 50718 | 0.0219 |
| 0.0082 | 322.0 | 50876 | 0.0102 |
| 0.0084 | 323.0 | 51034 | 0.0016 |
| 0.0029 | 324.0 | 51192 | 0.0227 |
| 0.0023 | 325.0 | 51350 | 0.0148 |
| 0.0022 | 326.0 | 51508 | 0.0157 |
| 0.0065 | 327.0 | 51666 | 0.0132 |
| 0.0257 | 328.0 | 51824 | 0.0162 |
| 0.0013 | 329.0 | 51982 | 0.0005 |
| 0.0135 | 330.0 | 52140 | 0.0278 |
| 0.0029 | 331.0 | 52298 | 0.0391 |
| 0.0139 | 332.0 | 52456 | 0.0000 |
| 0.0152 | 333.0 | 52614 | 0.0005 |
| 0.0042 | 334.0 | 52772 | 0.0008 |
| 0.0161 | 335.0 | 52930 | 0.0005 |
| 0.0008 | 336.0 | 53088 | 0.0000 |
| 0.0098 | 337.0 | 53246 | 0.0149 |
| 0.0096 | 338.0 | 53404 | 0.0097 |
| 0.0158 | 339.0 | 53562 | 0.0121 |
| 0.0001 | 340.0 | 53720 | 0.0168 |
| 0.0068 | 341.0 | 53878 | 0.0006 |
| 0.0026 | 342.0 | 54036 | 0.0000 |
| 0.0061 | 343.0 | 54194 | 0.0126 |
| 0.0071 | 344.0 | 54352 | 0.0154 |
| 0.0032 | 345.0 | 54510 | 0.0135 |
| 0.0034 | 346.0 | 54668 | 0.0046 |
| 0.003 | 347.0 | 54826 | 0.0137 |
| 0.0028 | 348.0 | 54984 | 0.0012 |
| 0.0157 | 349.0 | 55142 | 0.0193 |
| 0.0046 | 350.0 | 55300 | 0.0006 |
| 0.0023 | 351.0 | 55458 | 0.0137 |
| 0.0 | 352.0 | 55616 | 0.0111 |
| 0.0041 | 353.0 | 55774 | 0.0004 |
| 0.0032 | 354.0 | 55932 | 0.0000 |
| 0.0103 | 355.0 | 56090 | 0.0004 |
| 0.0 | 356.0 | 56248 | 0.0123 |
| 0.0074 | 357.0 | 56406 | 0.0205 |
| 0.0098 | 358.0 | 56564 | 0.0009 |
| 0.004 | 359.0 | 56722 | 0.0005 |
| 0.0018 | 360.0 | 56880 | 0.0134 |
| 0.0032 | 361.0 | 57038 | 0.0000 |
| 0.0063 | 362.0 | 57196 | 0.0230 |
| 0.0015 | 363.0 | 57354 | 0.0087 |
| 0.0041 | 364.0 | 57512 | 0.0110 |
| 0.0021 | 365.0 | 57670 | 0.0075 |
| 0.0019 | 366.0 | 57828 | 0.0000 |
| 0.0021 | 367.0 | 57986 | 0.0109 |
| 0.0018 | 368.0 | 58144 | 0.0228 |
| 0.0027 | 369.0 | 58302 | 0.0183 |
| 0.0036 | 370.0 | 58460 | 0.0116 |
| 0.0042 | 371.0 | 58618 | 0.0015 |
| 0.0029 | 372.0 | 58776 | 0.0010 |
| 0.0206 | 373.0 | 58934 | 0.0000 |
| 0.0071 | 374.0 | 59092 | 0.0000 |
| 0.0004 | 375.0 | 59250 | 0.0151 |
| 0.0009 | 376.0 | 59408 | 0.0000 |
| 0.0037 | 377.0 | 59566 | 0.0341 |
| 0.0097 | 378.0 | 59724 | 0.0239 |
| 0.0032 | 379.0 | 59882 | 0.0147 |
| 0.0041 | 380.0 | 60040 | 0.0006 |
| 0.002 | 381.0 | 60198 | 0.0003 |
| 0.0063 | 382.0 | 60356 | 0.0 |
| 0.0054 | 383.0 | 60514 | 0.0093 |
| 0.0069 | 384.0 | 60672 | 0.0089 |
| 0.0056 | 385.0 | 60830 | 0.0006 |
| 0.0071 | 386.0 | 60988 | 0.0219 |
| 0.0061 | 387.0 | 61146 | 0.0503 |
| 0.0068 | 388.0 | 61304 | 0.0028 |
| 0.002 | 389.0 | 61462 | 0.0011 |
| 0.0024 | 390.0 | 61620 | 0.0075 |
| 0.0028 | 391.0 | 61778 | 0.0009 |
| 0.0045 | 392.0 | 61936 | 0.0015 |
| 0.0009 | 393.0 | 62094 | 0.0350 |
| 0.0064 | 394.0 | 62252 | 0.0103 |
| 0.0003 | 395.0 | 62410 | 0.0118 |
| 0.0112 | 396.0 | 62568 | 0.0000 |
| 0.0046 | 397.0 | 62726 | 0.0118 |
| 0.0064 | 398.0 | 62884 | 0.0482 |
| 0.0021 | 399.0 | 63042 | 0.0228 |
| 0.0083 | 400.0 | 63200 | 0.0009 |
| 0.0008 | 401.0 | 63358 | 0.0005 |
| 0.0061 | 402.0 | 63516 | 0.0000 |
| 0.0038 | 403.0 | 63674 | 0.0031 |
| 0.0022 | 404.0 | 63832 | 0.0198 |
| 0.0074 | 405.0 | 63990 | 0.0000 |
| 0.0024 | 406.0 | 64148 | 0.0 |
| 0.0017 | 407.0 | 64306 | 0.0140 |
| 0.0004 | 408.0 | 64464 | 0.0210 |
| 0.003 | 409.0 | 64622 | 0.0096 |
| 0.0013 | 410.0 | 64780 | 0.0 |
| 0.0166 | 411.0 | 64938 | 0.0285 |
| 0.0029 | 412.0 | 65096 | 0.0000 |
| 0.0133 | 413.0 | 65254 | 0.0000 |
| 0.014 | 414.0 | 65412 | 0.0008 |
| 0.0044 | 415.0 | 65570 | 0.0163 |
| 0.0077 | 416.0 | 65728 | 0.0000 |
| 0.0002 | 417.0 | 65886 | 0.0004 |
| 0.0024 | 418.0 | 66044 | 0.0375 |
| 0.0092 | 419.0 | 66202 | 0.0008 |
| 0.0059 | 420.0 | 66360 | 0.0139 |
| 0.0005 | 421.0 | 66518 | 0.0121 |
| 0.0128 | 422.0 | 66676 | 0.0105 |
| 0.0035 | 423.0 | 66834 | 0.0005 |
| 0.0042 | 424.0 | 66992 | 0.0 |
| 0.0051 | 425.0 | 67150 | 0.0311 |
| 0.0089 | 426.0 | 67308 | 0.0084 |
| 0.0112 | 427.0 | 67466 | 0.0229 |
| 0.0002 | 428.0 | 67624 | 0.0156 |
| 0.0049 | 429.0 | 67782 | 0.0117 |
| 0.0051 | 430.0 | 67940 | 0.0150 |
| 0.0088 | 431.0 | 68098 | 0.0005 |
| 0.01 | 432.0 | 68256 | 0.0136 |
| 0.0032 | 433.0 | 68414 | 0.0 |
| 0.0003 | 434.0 | 68572 | 0.0155 |
| 0.0032 | 435.0 | 68730 | 0.0119 |
| 0.0041 | 436.0 | 68888 | 0.0003 |
| 0.0 | 437.0 | 69046 | 0.0168 |
| 0.0283 | 438.0 | 69204 | 0.0131 |
| 0.0032 | 439.0 | 69362 | 0.0000 |
| 0.007 | 440.0 | 69520 | 0.0000 |
| 0.0079 | 441.0 | 69678 | 0.0251 |
| 0.0121 | 442.0 | 69836 | 0.0003 |
| 0.0067 | 443.0 | 69994 | 0.0005 |
| 0.0017 | 444.0 | 70152 | 0.0000 |
| 0.0027 | 445.0 | 70310 | 0.0138 |
| 0.0013 | 446.0 | 70468 | 0.0322 |
| 0.0086 | 447.0 | 70626 | 0.0000 |
| 0.0066 | 448.0 | 70784 | 0.0112 |
| 0.003 | 449.0 | 70942 | 0.0000 |
| 0.0006 | 450.0 | 71100 | 0.0097 |
| 0.01 | 451.0 | 71258 | 0.0113 |
| 0.0003 | 452.0 | 71416 | 0.0098 |
| 0.0027 | 453.0 | 71574 | 0.0009 |
| 0.0034 | 454.0 | 71732 | 0.0119 |
| 0.0041 | 455.0 | 71890 | 0.0012 |
| 0.01 | 456.0 | 72048 | 0.0222 |
| 0.0032 | 457.0 | 72206 | 0.0111 |
| 0.0027 | 458.0 | 72364 | 0.0000 |
| 0.0064 | 459.0 | 72522 | 0.0149 |
| 0.0034 | 460.0 | 72680 | 0.0097 |
| 0.0083 | 461.0 | 72838 | 0.0146 |
| 0.002 | 462.0 | 72996 | 0.0237 |
| 0.004 | 463.0 | 73154 | 0.0135 |
| 0.0028 | 464.0 | 73312 | 0.0056 |
| 0.0008 | 465.0 | 73470 | 0.0000 |
| 0.0015 | 466.0 | 73628 | 0.0004 |
| 0.0023 | 467.0 | 73786 | 0.0320 |
| 0.008 | 468.0 | 73944 | 0.0108 |
| 0.0052 | 469.0 | 74102 | 0.0283 |
| 0.0088 | 470.0 | 74260 | 0.0009 |
| 0.0037 | 471.0 | 74418 | 0.0251 |
| 0.006 | 472.0 | 74576 | 0.0208 |
| 0.0008 | 473.0 | 74734 | 0.0237 |
| 0.005 | 474.0 | 74892 | 0.0198 |
| 0.0033 | 475.0 | 75050 | 0.0000 |
| 0.0014 | 476.0 | 75208 | 0.0000 |
| 0.0028 | 477.0 | 75366 | 0.0004 |
| 0.0082 | 478.0 | 75524 | 0.0149 |
| 0.0067 | 479.0 | 75682 | 0.0124 |
| 0.0062 | 480.0 | 75840 | 0.0327 |
| 0.0035 | 481.0 | 75998 | 0.0273 |
| 0.0013 | 482.0 | 76156 | 0.0007 |
| 0.0023 | 483.0 | 76314 | 0.0112 |
| 0.0042 | 484.0 | 76472 | 0.0101 |
| 0.0001 | 485.0 | 76630 | 0.0004 |
| 0.0 | 486.0 | 76788 | 0.0000 |
| 0.0069 | 487.0 | 76946 | 0.0278 |
| 0.0002 | 488.0 | 77104 | 0.0000 |
| 0.0045 | 489.0 | 77262 | 0.0163 |
| 0.0005 | 490.0 | 77420 | 0.0000 |
| 0.0005 | 491.0 | 77578 | 0.0272 |
| 0.0014 | 492.0 | 77736 | 0.0000 |
| 0.0088 | 493.0 | 77894 | 0.0215 |
| 0.0033 | 494.0 | 78052 | 0.0009 |
| 0.0031 | 495.0 | 78210 | 0.0261 |
| 0.0038 | 496.0 | 78368 | 0.0120 |
| 0.0091 | 497.0 | 78526 | 0.0151 |
| 0.0062 | 498.0 | 78684 | 0.0009 |
| 0.004 | 499.0 | 78842 | 0.0005 |
| 0.0025 | 500.0 | 79000 | 0.0134 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.11.0
