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flant5-tuned-30

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2339

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: 0.0001
  • 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
  • lr_scheduler_warmup_steps: 6
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss
1.9667 0.02 1 1.6464
2.4545 0.04 2 1.6328
2.4285 0.06 3 1.6089
2.1423 0.09 4 1.5831
1.8409 0.11 5 1.5580
1.6974 0.13 6 1.5369
1.8883 0.15 7 1.5176
2.0006 0.17 8 1.4977
2.1835 0.19 9 1.4791
2.1405 0.21 10 1.4608
1.64 0.23 11 1.4414
1.9192 0.26 12 1.4238
1.4762 0.28 13 1.4078
1.5581 0.3 14 1.3918
1.7605 0.32 15 1.3788
1.557 0.34 16 1.3676
1.5071 0.36 17 1.3585
1.9494 0.38 18 1.3504
1.8308 0.4 19 1.3432
1.7127 0.43 20 1.3368
1.3814 0.45 21 1.3313
1.4301 0.47 22 1.3260
1.3969 0.49 23 1.3212
1.5349 0.51 24 1.3164
1.2284 0.53 25 1.3115
2.2728 0.55 26 1.3061
1.9144 0.57 27 1.3005
1.4339 0.6 28 1.2957
1.9083 0.62 29 1.2904
2.164 0.64 30 1.2856
1.2391 0.66 31 1.2812
1.5761 0.68 32 1.2774
1.69 0.7 33 1.2740
1.6597 0.72 34 1.2707
1.7752 0.74 35 1.2676
1.5281 0.77 36 1.2651
1.6833 0.79 37 1.2629
1.591 0.81 38 1.2606
1.6555 0.83 39 1.2579
2.0004 0.85 40 1.2552
1.2845 0.87 41 1.2534
1.139 0.89 42 1.2524
1.5526 0.91 43 1.2518
1.3037 0.94 44 1.2509
1.6106 0.96 45 1.2507
1.3613 0.98 46 1.2508
2.6988 1.0 47 1.2505
1.2909 1.02 48 1.2506
1.0862 1.04 49 1.2516
1.1204 1.06 50 1.2535
1.6266 1.09 51 1.2545
1.4118 1.11 52 1.2541
1.7869 1.13 53 1.2527
1.8297 1.15 54 1.2510
1.3467 1.17 55 1.2483
1.6901 1.19 56 1.2449
1.5308 1.21 57 1.2411
1.0475 1.23 58 1.2382
1.3635 1.26 59 1.2352
1.0099 1.28 60 1.2335
1.5154 1.3 61 1.2309
1.6367 1.32 62 1.2281
1.613 1.34 63 1.2255
1.4852 1.36 64 1.2231
1.5181 1.38 65 1.2206
1.6653 1.4 66 1.2177
1.4544 1.43 67 1.2148
1.2966 1.45 68 1.2131
1.8326 1.47 69 1.2112
1.2731 1.49 70 1.2099
1.5005 1.51 71 1.2087
1.6507 1.53 72 1.2077
1.4095 1.55 73 1.2068
1.5355 1.57 74 1.2059
1.0448 1.6 75 1.2064
1.5037 1.62 76 1.2068
1.7362 1.64 77 1.2068
1.4892 1.66 78 1.2072
1.7818 1.68 79 1.2071
1.4143 1.7 80 1.2065
1.4 1.72 81 1.2065
1.225 1.74 82 1.2065
1.6821 1.77 83 1.2063
1.4214 1.79 84 1.2065
1.2094 1.81 85 1.2074
1.6202 1.83 86 1.2077
1.6654 1.85 87 1.2083
0.9378 1.87 88 1.2102
1.5872 1.89 89 1.2121
1.7262 1.91 90 1.2131
1.2392 1.94 91 1.2140
0.9844 1.96 92 1.2155
1.3346 1.98 93 1.2164
1.0203 2.0 94 1.2176
1.3007 2.02 95 1.2182
1.6318 2.04 96 1.2185
1.5082 2.06 97 1.2185
1.5797 2.09 98 1.2179
1.2403 2.11 99 1.2164
1.5859 2.13 100 1.2143
1.0519 2.15 101 1.2134
1.2823 2.17 102 1.2116
1.2484 2.19 103 1.2105
1.3197 2.21 104 1.2100
1.3335 2.23 105 1.2095
1.1574 2.26 106 1.2090
1.4573 2.28 107 1.2079
1.0433 2.3 108 1.2072
1.3362 2.32 109 1.2068
1.403 2.34 110 1.2056
1.3345 2.36 111 1.2049
0.819 2.38 112 1.2050
1.4289 2.4 113 1.2049
1.2274 2.43 114 1.2051
1.0653 2.45 115 1.2053
1.1851 2.47 116 1.2062
1.2725 2.49 117 1.2065
1.4383 2.51 118 1.2060
1.5551 2.53 119 1.2055
1.4857 2.55 120 1.2047
1.3742 2.57 121 1.2042
1.7207 2.6 122 1.2032
1.2508 2.62 123 1.2022
0.9982 2.64 124 1.2018
1.4797 2.66 125 1.2012
1.363 2.68 126 1.2009
1.2205 2.7 127 1.2012
1.0644 2.72 128 1.2016
1.246 2.74 129 1.2023
1.511 2.77 130 1.2038
1.0708 2.79 131 1.2055
1.5127 2.81 132 1.2067
1.4696 2.83 133 1.2078
1.4078 2.85 134 1.2086
1.3518 2.87 135 1.2091
1.6338 2.89 136 1.2088
1.5519 2.91 137 1.2073
1.5849 2.94 138 1.2047
1.4904 2.96 139 1.2022
1.0131 2.98 140 1.2004
1.7739 3.0 141 1.1981
1.3103 3.02 142 1.1961
1.1845 3.04 143 1.1942
1.2925 3.06 144 1.1926
1.1181 3.09 145 1.1911
1.4873 3.11 146 1.1893
1.1669 3.13 147 1.1877
1.384 3.15 148 1.1861
1.1951 3.17 149 1.1850
1.5083 3.19 150 1.1842
1.4537 3.21 151 1.1831
1.3802 3.23 152 1.1819
1.443 3.26 153 1.1807
1.2788 3.28 154 1.1790
1.3796 3.3 155 1.1779
1.3123 3.32 156 1.1772
1.3024 3.34 157 1.1769
1.0419 3.36 158 1.1769
1.1423 3.38 159 1.1777
1.0954 3.4 160 1.1787
1.2069 3.43 161 1.1798
1.3704 3.45 162 1.1810
1.4654 3.47 163 1.1817
1.223 3.49 164 1.1822
1.3811 3.51 165 1.1823
1.027 3.53 166 1.1826
0.9523 3.55 167 1.1831
1.1546 3.57 168 1.1832
1.2748 3.6 169 1.1835
1.2699 3.62 170 1.1836
1.4697 3.64 171 1.1834
1.3501 3.66 172 1.1830
1.2668 3.68 173 1.1827
1.2121 3.7 174 1.1821
0.8967 3.72 175 1.1826
1.3126 3.74 176 1.1835
1.2997 3.77 177 1.1846
1.3666 3.79 178 1.1856
1.2517 3.81 179 1.1867
1.022 3.83 180 1.1885
1.1694 3.85 181 1.1905
1.1843 3.87 182 1.1923
0.8612 3.89 183 1.1951
1.1394 3.91 184 1.1976
1.387 3.94 185 1.1993
1.2614 3.96 186 1.2007
1.3705 3.98 187 1.2009
1.0086 4.0 188 1.2009
1.4405 4.02 189 1.2007
1.2031 4.04 190 1.2003
1.2633 4.06 191 1.1997
1.0525 4.09 192 1.1988
1.0734 4.11 193 1.1971
1.1034 4.13 194 1.1953
1.4865 4.15 195 1.1929
1.0999 4.17 196 1.1907
0.9867 4.19 197 1.1893
0.9741 4.21 198 1.1885
1.3371 4.23 199 1.1880
1.0978 4.26 200 1.1875
1.1863 4.28 201 1.1873
1.2346 4.3 202 1.1869
1.007 4.32 203 1.1865
1.2739 4.34 204 1.1854
1.3803 4.36 205 1.1845
0.9438 4.38 206 1.1847
0.9082 4.4 207 1.1853
1.2066 4.43 208 1.1862
1.1002 4.45 209 1.1869
1.0443 4.47 210 1.1881
1.5107 4.49 211 1.1889
1.1524 4.51 212 1.1898
1.4075 4.53 213 1.1901
1.0296 4.55 214 1.1909
1.4881 4.57 215 1.1906
1.4919 4.6 216 1.1893
1.0295 4.62 217 1.1890
1.0891 4.64 218 1.1891
1.1395 4.66 219 1.1884
1.4347 4.68 220 1.1872
1.6514 4.7 221 1.1856
1.1608 4.72 222 1.1847
1.3473 4.74 223 1.1833
1.1785 4.77 224 1.1827
1.2321 4.79 225 1.1824
1.2876 4.81 226 1.1820
1.1757 4.83 227 1.1814
0.9282 4.85 228 1.1811
1.2784 4.87 229 1.1803
1.0302 4.89 230 1.1792
1.204 4.91 231 1.1784
1.0326 4.94 232 1.1778
1.3914 4.96 233 1.1770
0.9732 4.98 234 1.1770
1.0765 5.0 235 1.1771
1.2503 5.02 236 1.1776
1.2836 5.04 237 1.1782
1.1844 5.06 238 1.1785
1.3674 5.09 239 1.1785
1.3149 5.11 240 1.1789
1.2317 5.13 241 1.1792
0.9829 5.15 242 1.1799
0.8441 5.17 243 1.1802
1.0655 5.19 244 1.1810
1.0836 5.21 245 1.1817
1.2297 5.23 246 1.1823
0.9449 5.26 247 1.1828
1.4458 5.28 248 1.1829
0.9312 5.3 249 1.1833
1.0147 5.32 250 1.1844
1.0166 5.34 251 1.1853
1.2193 5.36 252 1.1863
1.1028 5.38 253 1.1876
0.9643 5.4 254 1.1883
0.7789 5.43 255 1.1887
1.3363 5.45 256 1.1889
1.0518 5.47 257 1.1890
0.984 5.49 258 1.1894
0.9891 5.51 259 1.1893
1.1256 5.53 260 1.1887
1.3248 5.55 261 1.1878
1.2256 5.57 262 1.1872
1.4624 5.6 263 1.1863
1.1927 5.62 264 1.1859
1.2636 5.64 265 1.1852
0.9282 5.66 266 1.1852
0.7331 5.68 267 1.1860
0.9813 5.7 268 1.1867
1.3365 5.72 269 1.1876
1.014 5.74 270 1.1885
1.2665 5.77 271 1.1885
0.9059 5.79 272 1.1890
1.0328 5.81 273 1.1899
1.0665 5.83 274 1.1905
1.1604 5.85 275 1.1909
0.9059 5.87 276 1.1913
1.061 5.89 277 1.1915
0.8671 5.91 278 1.1913
1.3143 5.94 279 1.1906
1.1451 5.96 280 1.1900
0.8383 5.98 281 1.1897
0.8921 6.0 282 1.1896
1.0486 6.02 283 1.1896
0.6538 6.04 284 1.1898
0.9361 6.06 285 1.1899
1.2392 6.09 286 1.1902
1.0409 6.11 287 1.1910
1.2406 6.13 288 1.1914
1.0792 6.15 289 1.1921
0.9954 6.17 290 1.1932
1.0286 6.19 291 1.1941
1.1392 6.21 292 1.1946
0.9699 6.23 293 1.1950
0.7124 6.26 294 1.1959
1.2828 6.28 295 1.1968
0.8169 6.3 296 1.1977
1.001 6.32 297 1.1992
0.8961 6.34 298 1.2015
0.9216 6.36 299 1.2035
1.0244 6.38 300 1.2055
1.272 6.4 301 1.2069
1.005 6.43 302 1.2084
1.0438 6.45 303 1.2099
1.0185 6.47 304 1.2111
0.8969 6.49 305 1.2120
0.802 6.51 306 1.2132
1.0453 6.53 307 1.2141
1.0051 6.55 308 1.2151
1.0798 6.57 309 1.2164
1.4647 6.6 310 1.2168
0.9142 6.62 311 1.2169
1.092 6.64 312 1.2171
1.0251 6.66 313 1.2167
0.8519 6.68 314 1.2161
0.9924 6.7 315 1.2151
1.2976 6.72 316 1.2136
1.0268 6.74 317 1.2123
1.0534 6.77 318 1.2108
1.2857 6.79 319 1.2088
0.9892 6.81 320 1.2072
0.9789 6.83 321 1.2056
0.8675 6.85 322 1.2048
0.9798 6.87 323 1.2042
1.2267 6.89 324 1.2038
1.1641 6.91 325 1.2029
1.3769 6.94 326 1.2014
0.9066 6.96 327 1.2000
1.598 6.98 328 1.1983
1.0333 7.0 329 1.1970
1.016 7.02 330 1.1967
0.9458 7.04 331 1.1967
1.118 7.06 332 1.1964
1.0069 7.09 333 1.1964
0.984 7.11 334 1.1965
1.1063 7.13 335 1.1964
0.9186 7.15 336 1.1965
1.1328 7.17 337 1.1968
1.0281 7.19 338 1.1970
1.1415 7.21 339 1.1973
0.9868 7.23 340 1.1981
1.1936 7.26 341 1.1988
0.6864 7.28 342 1.1997
1.2851 7.3 343 1.2003
1.065 7.32 344 1.2008
1.0244 7.34 345 1.2012
1.0387 7.36 346 1.2022
1.2904 7.38 347 1.2029
0.8598 7.4 348 1.2041
1.2277 7.43 349 1.2046
1.3071 7.45 350 1.2047
0.984 7.47 351 1.2049
0.9392 7.49 352 1.2051
0.8886 7.51 353 1.2048
0.833 7.53 354 1.2047
1.0211 7.55 355 1.2046
1.0704 7.57 356 1.2043
1.0893 7.6 357 1.2042
0.8576 7.62 358 1.2039
1.1494 7.64 359 1.2037
1.2198 7.66 360 1.2029
1.0204 7.68 361 1.2021
0.8117 7.7 362 1.2013
0.7845 7.72 363 1.2009
1.1076 7.74 364 1.2005
0.6961 7.77 365 1.2003
1.1127 7.79 366 1.1998
1.009 7.81 367 1.1999
0.8846 7.83 368 1.1998
0.865 7.85 369 1.2003
1.0436 7.87 370 1.2003
1.0648 7.89 371 1.2003
1.0411 7.91 372 1.2007
1.1948 7.94 373 1.2008
1.0773 7.96 374 1.2007
1.1474 7.98 375 1.2006
1.3795 8.0 376 1.2008
1.3892 8.02 377 1.2005
1.0678 8.04 378 1.2006
1.53 8.06 379 1.2002
0.7286 8.09 380 1.1998
0.9545 8.11 381 1.1995
1.0366 8.13 382 1.1991
1.0289 8.15 383 1.1985
1.04 8.17 384 1.1980
0.7763 8.19 385 1.1985
0.597 8.21 386 1.1991
1.2358 8.23 387 1.1999
0.7149 8.26 388 1.2008
0.9546 8.28 389 1.2014
1.0085 8.3 390 1.2019
0.9048 8.32 391 1.2023
0.9976 8.34 392 1.2024
1.2209 8.36 393 1.2022
0.8731 8.38 394 1.2023
1.3846 8.4 395 1.2021
0.9881 8.43 396 1.2021
0.9374 8.45 397 1.2022
0.7572 8.47 398 1.2024
0.9265 8.49 399 1.2032
1.0008 8.51 400 1.2035
0.8435 8.53 401 1.2040
1.033 8.55 402 1.2044
0.8181 8.57 403 1.2050
1.1232 8.6 404 1.2053
0.6155 8.62 405 1.2060
1.13 8.64 406 1.2065
1.2168 8.66 407 1.2064
0.9764 8.68 408 1.2063
1.1251 8.7 409 1.2067
0.6559 8.72 410 1.2079
1.0554 8.74 411 1.2089
1.2301 8.77 412 1.2093
0.9597 8.79 413 1.2103
0.7174 8.81 414 1.2112
1.0083 8.83 415 1.2117
1.0968 8.85 416 1.2119
0.9911 8.87 417 1.2116
1.2282 8.89 418 1.2110
0.9057 8.91 419 1.2102
0.8975 8.94 420 1.2093
0.7017 8.96 421 1.2085
1.0442 8.98 422 1.2075
1.2632 9.0 423 1.2066
0.4969 9.02 424 1.2066
0.9973 9.04 425 1.2065
0.9969 9.06 426 1.2064
0.843 9.09 427 1.2062
0.8619 9.11 428 1.2065
0.9959 9.13 429 1.2067
0.9466 9.15 430 1.2072
1.1408 9.17 431 1.2078
0.8565 9.19 432 1.2086
1.0228 9.21 433 1.2089
0.8104 9.23 434 1.2094
0.6723 9.26 435 1.2102
1.0232 9.28 436 1.2105
1.1588 9.3 437 1.2104
1.2531 9.32 438 1.2099
0.8413 9.34 439 1.2093
0.8939 9.36 440 1.2091
0.733 9.38 441 1.2092
0.744 9.4 442 1.2095
0.8857 9.43 443 1.2094
1.0393 9.45 444 1.2095
0.913 9.47 445 1.2093
1.1155 9.49 446 1.2091
0.9154 9.51 447 1.2092
1.036 9.53 448 1.2094
1.2105 9.55 449 1.2095
0.6298 9.57 450 1.2100
0.8795 9.6 451 1.2108
0.8513 9.62 452 1.2114
0.9633 9.64 453 1.2122
1.02 9.66 454 1.2129
1.3356 9.68 455 1.2134
1.0097 9.7 456 1.2141
0.73 9.72 457 1.2148
1.0924 9.74 458 1.2151
1.2789 9.77 459 1.2152
0.8527 9.79 460 1.2151
0.9166 9.81 461 1.2150
0.7188 9.83 462 1.2147
1.0428 9.85 463 1.2144
1.0955 9.87 464 1.2134
1.1744 9.89 465 1.2124
1.1324 9.91 466 1.2115
0.9818 9.94 467 1.2105
0.8571 9.96 468 1.2100
0.964 9.98 469 1.2098
0.8998 10.0 470 1.2095
0.8614 10.02 471 1.2097
0.9073 10.04 472 1.2098
1.1624 10.06 473 1.2103
0.9406 10.09 474 1.2111
0.9077 10.11 475 1.2116
0.9633 10.13 476 1.2124
0.8509 10.15 477 1.2132
1.0841 10.17 478 1.2137
1.024 10.19 479 1.2143
0.8115 10.21 480 1.2154
0.602 10.23 481 1.2167
0.8554 10.26 482 1.2179
0.8389 10.28 483 1.2194
0.754 10.3 484 1.2210
1.1135 10.32 485 1.2219
0.9837 10.34 486 1.2224
1.0271 10.36 487 1.2227
0.8573 10.38 488 1.2228
1.0546 10.4 489 1.2227
0.6255 10.43 490 1.2230
0.9938 10.45 491 1.2227
0.8872 10.47 492 1.2227
0.735 10.49 493 1.2231
1.0497 10.51 494 1.2232
0.8326 10.53 495 1.2235
1.355 10.55 496 1.2238
0.9891 10.57 497 1.2240
0.8033 10.6 498 1.2241
0.8182 10.62 499 1.2243
0.8101 10.64 500 1.2244
1.1171 10.66 501 1.2244
0.959 10.68 502 1.2244
0.8329 10.7 503 1.2242
0.6569 10.72 504 1.2243
1.1443 10.74 505 1.2242
0.8434 10.77 506 1.2244
1.0466 10.79 507 1.2246
0.9287 10.81 508 1.2244
0.8067 10.83 509 1.2245
0.8815 10.85 510 1.2249
1.2351 10.87 511 1.2246
0.7042 10.89 512 1.2246
0.8259 10.91 513 1.2246
1.3063 10.94 514 1.2245
1.1074 10.96 515 1.2243
0.8808 10.98 516 1.2242
0.8679 11.0 517 1.2241
1.0254 11.02 518 1.2240
0.9236 11.04 519 1.2240
1.011 11.06 520 1.2241
0.6683 11.09 521 1.2242
0.8837 11.11 522 1.2244
1.013 11.13 523 1.2245
0.8163 11.15 524 1.2247
1.0104 11.17 525 1.2248
1.0783 11.19 526 1.2249
1.0922 11.21 527 1.2251
0.8259 11.23 528 1.2253
0.7912 11.26 529 1.2258
0.8184 11.28 530 1.2263
0.8809 11.3 531 1.2270
1.0698 11.32 532 1.2277
0.9594 11.34 533 1.2278
1.2471 11.36 534 1.2276
0.8184 11.38 535 1.2276
0.8824 11.4 536 1.2277
0.9076 11.43 537 1.2279
0.806 11.45 538 1.2281
0.9146 11.47 539 1.2283
0.8715 11.49 540 1.2285
0.9517 11.51 541 1.2286
1.0729 11.53 542 1.2286
0.9916 11.55 543 1.2283
0.9089 11.57 544 1.2281
0.9878 11.6 545 1.2276
1.0224 11.62 546 1.2268
1.0531 11.64 547 1.2262
1.067 11.66 548 1.2252
1.1402 11.68 549 1.2244
0.9552 11.7 550 1.2237
0.913 11.72 551 1.2231
0.5152 11.74 552 1.2228
0.8412 11.77 553 1.2227
0.5697 11.79 554 1.2229
0.8068 11.81 555 1.2230
0.9142 11.83 556 1.2231
1.0595 11.85 557 1.2232
0.77 11.87 558 1.2237
0.8781 11.89 559 1.2241
0.6798 11.91 560 1.2245
0.7254 11.94 561 1.2252
0.8196 11.96 562 1.2257
1.2182 11.98 563 1.2261
0.6839 12.0 564 1.2267
0.9614 12.02 565 1.2270
0.9045 12.04 566 1.2270
1.2186 12.06 567 1.2267
0.7714 12.09 568 1.2265
0.7868 12.11 569 1.2263
0.6934 12.13 570 1.2264
0.7521 12.15 571 1.2265
1.1429 12.17 572 1.2265
0.7981 12.19 573 1.2267
1.1508 12.21 574 1.2268
0.7887 12.23 575 1.2269
1.1157 12.26 576 1.2269
0.9693 12.28 577 1.2271
0.6783 12.3 578 1.2273
0.7375 12.32 579 1.2276
0.7851 12.34 580 1.2278
0.8485 12.36 581 1.2281
0.7239 12.38 582 1.2283
1.2064 12.4 583 1.2284
0.8828 12.43 584 1.2286
0.9791 12.45 585 1.2289
0.5679 12.47 586 1.2292
0.8562 12.49 587 1.2296
0.8473 12.51 588 1.2298
0.8534 12.53 589 1.2300
0.7977 12.55 590 1.2301
0.6877 12.57 591 1.2302
0.9068 12.6 592 1.2303
1.0501 12.62 593 1.2302
0.8659 12.64 594 1.2301
0.9847 12.66 595 1.2300
0.8394 12.68 596 1.2299
1.1309 12.7 597 1.2299
1.1101 12.72 598 1.2300
1.0249 12.74 599 1.2300
0.8355 12.77 600 1.2301
0.8521 12.79 601 1.2301
0.4543 12.81 602 1.2304
0.954 12.83 603 1.2305
1.2081 12.85 604 1.2304
0.8036 12.87 605 1.2303
1.0177 12.89 606 1.2304
0.9683 12.91 607 1.2303
0.8127 12.94 608 1.2302
0.9546 12.96 609 1.2301
0.9983 12.98 610 1.2299
0.9005 13.0 611 1.2297
0.6572 13.02 612 1.2296
0.9344 13.04 613 1.2298
0.7199 13.06 614 1.2302
0.8189 13.09 615 1.2306
0.6956 13.11 616 1.2310
1.0579 13.13 617 1.2314
0.7074 13.15 618 1.2317
0.819 13.17 619 1.2320
0.9636 13.19 620 1.2324
0.9793 13.21 621 1.2328
1.277 13.23 622 1.2330
0.6756 13.26 623 1.2334
0.7434 13.28 624 1.2337
0.6858 13.3 625 1.2342
0.6808 13.32 626 1.2345
1.0252 13.34 627 1.2347
0.5286 13.36 628 1.2350
0.7782 13.38 629 1.2354
0.8896 13.4 630 1.2356
0.7696 13.43 631 1.2358
0.943 13.45 632 1.2360
0.8693 13.47 633 1.2362
1.0619 13.49 634 1.2363
0.7923 13.51 635 1.2363
1.0486 13.53 636 1.2362
0.8259 13.55 637 1.2362
1.0124 13.57 638 1.2361
0.9727 13.6 639 1.2361
0.9889 13.62 640 1.2360
0.8328 13.64 641 1.2360
0.9412 13.66 642 1.2360
0.9981 13.68 643 1.2359
1.068 13.7 644 1.2358
0.8636 13.72 645 1.2356
0.9235 13.74 646 1.2355
1.0828 13.77 647 1.2353
0.9283 13.79 648 1.2351
0.7438 13.81 649 1.2350
1.0585 13.83 650 1.2348
1.0429 13.85 651 1.2346
0.9622 13.87 652 1.2344
0.9415 13.89 653 1.2342
0.8813 13.91 654 1.2342
0.5934 13.94 655 1.2342
0.9433 13.96 656 1.2342
1.0204 13.98 657 1.2343
0.8736 14.0 658 1.2343
0.8143 14.02 659 1.2343
1.0001 14.04 660 1.2343
0.6601 14.06 661 1.2343
1.0706 14.09 662 1.2343
1.0309 14.11 663 1.2343
0.6468 14.13 664 1.2342
1.0351 14.15 665 1.2341
0.8987 14.17 666 1.2340
1.0643 14.19 667 1.2338
1.0915 14.21 668 1.2337
0.8358 14.23 669 1.2335
0.7566 14.26 670 1.2333
0.7732 14.28 671 1.2332
0.7843 14.3 672 1.2331
1.0444 14.32 673 1.2331
1.0399 14.34 674 1.2330
0.6354 14.36 675 1.2330
0.6233 14.38 676 1.2330
0.8515 14.4 677 1.2331
1.1154 14.43 678 1.2330
0.8509 14.45 679 1.2330
0.7757 14.47 680 1.2330
1.1048 14.49 681 1.2330
0.9494 14.51 682 1.2330
0.7803 14.53 683 1.2331
0.8226 14.55 684 1.2332
1.0328 14.57 685 1.2332
1.0905 14.6 686 1.2333
1.1461 14.62 687 1.2334
0.9327 14.64 688 1.2335
0.7905 14.66 689 1.2335
0.9071 14.68 690 1.2335
0.6524 14.7 691 1.2336
0.8598 14.72 692 1.2336
0.8877 14.74 693 1.2337
0.7271 14.77 694 1.2337
1.1724 14.79 695 1.2338
0.8527 14.81 696 1.2338
0.5951 14.83 697 1.2338
0.9821 14.85 698 1.2338
0.9895 14.87 699 1.2338
0.8334 14.89 700 1.2339
0.6437 14.91 701 1.2339
0.8335 14.94 702 1.2339
1.0604 14.96 703 1.2339
0.9142 14.98 704 1.2339
0.8858 15.0 705 1.2339

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2
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Safetensors
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