metadata
tags:
- generated_from_trainer
base_model: nlpaueb/bert-base-greek-uncased-v1
model-index:
- name: bert-base-greek-uncased-v3-finetuned-polylex
results: []
bert-base-greek-uncased-v3-finetuned-polylex
This model is a fine-tuned version of nlpaueb/bert-base-greek-uncased-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2388
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-06
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 500
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.7244 | 1.0 | 13 | 2.6291 |
2.694 | 2.0 | 26 | 2.6311 |
2.7107 | 3.0 | 39 | 2.4722 |
2.6558 | 4.0 | 52 | 2.5651 |
2.6605 | 5.0 | 65 | 2.5038 |
2.6573 | 6.0 | 78 | 2.4791 |
2.6467 | 7.0 | 91 | 2.4887 |
2.5708 | 8.0 | 104 | 2.4863 |
2.5622 | 9.0 | 117 | 2.3389 |
2.5644 | 10.0 | 130 | 2.4384 |
2.5504 | 11.0 | 143 | 2.4352 |
2.5182 | 12.0 | 156 | 2.4158 |
2.5046 | 13.0 | 169 | 2.4234 |
2.4485 | 14.0 | 182 | 2.4289 |
2.473 | 15.0 | 195 | 2.3559 |
2.4475 | 16.0 | 208 | 2.3746 |
2.4487 | 17.0 | 221 | 2.3665 |
2.428 | 18.0 | 234 | 2.2715 |
2.4131 | 19.0 | 247 | 2.3679 |
2.3936 | 20.0 | 260 | 2.2356 |
2.3946 | 21.0 | 273 | 2.3008 |
2.3449 | 22.0 | 286 | 2.3134 |
2.3708 | 23.0 | 299 | 2.3177 |
2.3152 | 24.0 | 312 | 2.2009 |
2.3192 | 25.0 | 325 | 2.2506 |
2.3304 | 26.0 | 338 | 2.2458 |
2.2691 | 27.0 | 351 | 2.2125 |
2.2592 | 28.0 | 364 | 2.1254 |
2.2714 | 29.0 | 377 | 2.1649 |
2.3054 | 30.0 | 390 | 2.1633 |
2.2601 | 31.0 | 403 | 2.1433 |
2.2445 | 32.0 | 416 | 2.1790 |
2.2251 | 33.0 | 429 | 2.1874 |
2.2402 | 34.0 | 442 | 2.0976 |
2.2485 | 35.0 | 455 | 2.2506 |
2.2158 | 36.0 | 468 | 2.1411 |
2.1912 | 37.0 | 481 | 2.1640 |
2.1883 | 38.0 | 494 | 2.1221 |
2.1869 | 39.0 | 507 | 2.1404 |
2.1613 | 40.0 | 520 | 2.1048 |
2.1562 | 41.0 | 533 | 2.1490 |
2.1135 | 42.0 | 546 | 2.1360 |
2.1588 | 43.0 | 559 | 2.1085 |
2.1245 | 44.0 | 572 | 2.0455 |
2.1256 | 45.0 | 585 | 2.0955 |
2.1175 | 46.0 | 598 | 2.0554 |
2.0986 | 47.0 | 611 | 2.1592 |
2.0672 | 48.0 | 624 | 2.0547 |
2.0834 | 49.0 | 637 | 2.1018 |
2.0637 | 50.0 | 650 | 1.9672 |
2.0934 | 51.0 | 663 | 2.0244 |
2.0624 | 52.0 | 676 | 2.0206 |
2.0654 | 53.0 | 689 | 2.0019 |
2.0375 | 54.0 | 702 | 1.9709 |
2.0247 | 55.0 | 715 | 2.0573 |
2.0051 | 56.0 | 728 | 2.0118 |
2.0272 | 57.0 | 741 | 1.9811 |
1.9794 | 58.0 | 754 | 2.0686 |
2.0075 | 59.0 | 767 | 1.9908 |
1.9903 | 60.0 | 780 | 1.9719 |
1.9861 | 61.0 | 793 | 1.8938 |
1.9723 | 62.0 | 806 | 1.9435 |
1.9757 | 63.0 | 819 | 1.9853 |
1.9652 | 64.0 | 832 | 1.9546 |
1.9082 | 65.0 | 845 | 1.9496 |
1.9565 | 66.0 | 858 | 2.0053 |
1.9461 | 67.0 | 871 | 1.9123 |
1.9348 | 68.0 | 884 | 1.9159 |
1.9582 | 69.0 | 897 | 1.9521 |
1.9226 | 70.0 | 910 | 1.8827 |
1.8822 | 71.0 | 923 | 1.8913 |
1.9009 | 72.0 | 936 | 1.9483 |
1.8754 | 73.0 | 949 | 1.8115 |
1.8989 | 74.0 | 962 | 1.8791 |
1.9258 | 75.0 | 975 | 1.8749 |
1.8691 | 76.0 | 988 | 1.7972 |
1.8842 | 77.0 | 1001 | 1.8793 |
1.8788 | 78.0 | 1014 | 1.8586 |
1.8319 | 79.0 | 1027 | 1.8892 |
1.8608 | 80.0 | 1040 | 1.9646 |
1.8318 | 81.0 | 1053 | 1.9309 |
1.8437 | 82.0 | 1066 | 1.8566 |
1.8203 | 83.0 | 1079 | 1.8284 |
1.824 | 84.0 | 1092 | 1.7816 |
1.8182 | 85.0 | 1105 | 1.9069 |
1.8179 | 86.0 | 1118 | 1.9081 |
1.7929 | 87.0 | 1131 | 1.8425 |
1.8193 | 88.0 | 1144 | 1.8563 |
1.7839 | 89.0 | 1157 | 1.8833 |
1.7921 | 90.0 | 1170 | 1.9352 |
1.815 | 91.0 | 1183 | 1.7930 |
1.7462 | 92.0 | 1196 | 1.8891 |
1.7404 | 93.0 | 1209 | 1.7958 |
1.7678 | 94.0 | 1222 | 1.8088 |
1.7639 | 95.0 | 1235 | 1.8375 |
1.7631 | 96.0 | 1248 | 1.7708 |
1.766 | 97.0 | 1261 | 1.7981 |
1.7695 | 98.0 | 1274 | 1.7941 |
1.7176 | 99.0 | 1287 | 1.8595 |
1.7293 | 100.0 | 1300 | 1.7562 |
1.7483 | 101.0 | 1313 | 1.7352 |
1.7082 | 102.0 | 1326 | 1.8223 |
1.7325 | 103.0 | 1339 | 1.6402 |
1.7099 | 104.0 | 1352 | 1.7554 |
1.721 | 105.0 | 1365 | 1.7200 |
1.7241 | 106.0 | 1378 | 1.6550 |
1.6731 | 107.0 | 1391 | 1.7392 |
1.6811 | 108.0 | 1404 | 1.8979 |
1.7082 | 109.0 | 1417 | 1.7811 |
1.6629 | 110.0 | 1430 | 1.6550 |
1.6965 | 111.0 | 1443 | 1.7140 |
1.7202 | 112.0 | 1456 | 1.6252 |
1.6947 | 113.0 | 1469 | 1.6977 |
1.6858 | 114.0 | 1482 | 1.7298 |
1.6741 | 115.0 | 1495 | 1.7912 |
1.6703 | 116.0 | 1508 | 1.7231 |
1.6155 | 117.0 | 1521 | 1.7453 |
1.6872 | 118.0 | 1534 | 1.7383 |
1.6271 | 119.0 | 1547 | 1.7250 |
1.6729 | 120.0 | 1560 | 1.6696 |
1.6422 | 121.0 | 1573 | 1.6866 |
1.6668 | 122.0 | 1586 | 1.7051 |
1.5937 | 123.0 | 1599 | 1.7192 |
1.651 | 124.0 | 1612 | 1.7196 |
1.6286 | 125.0 | 1625 | 1.7460 |
1.6103 | 126.0 | 1638 | 1.6972 |
1.6341 | 127.0 | 1651 | 1.6315 |
1.6032 | 128.0 | 1664 | 1.7183 |
1.6089 | 129.0 | 1677 | 1.6223 |
1.6019 | 130.0 | 1690 | 1.6137 |
1.5891 | 131.0 | 1703 | 1.7023 |
1.597 | 132.0 | 1716 | 1.6243 |
1.5559 | 133.0 | 1729 | 1.6536 |
1.5882 | 134.0 | 1742 | 1.6405 |
1.5728 | 135.0 | 1755 | 1.6444 |
1.6019 | 136.0 | 1768 | 1.6513 |
1.571 | 137.0 | 1781 | 1.6124 |
1.5488 | 138.0 | 1794 | 1.6870 |
1.5376 | 139.0 | 1807 | 1.6583 |
1.5641 | 140.0 | 1820 | 1.6581 |
1.5722 | 141.0 | 1833 | 1.6245 |
1.5446 | 142.0 | 1846 | 1.5859 |
1.5441 | 143.0 | 1859 | 1.6329 |
1.56 | 144.0 | 1872 | 1.6646 |
1.5571 | 145.0 | 1885 | 1.6170 |
1.5331 | 146.0 | 1898 | 1.6471 |
1.5476 | 147.0 | 1911 | 1.6206 |
1.5573 | 148.0 | 1924 | 1.6275 |
1.5182 | 149.0 | 1937 | 1.6181 |
1.4818 | 150.0 | 1950 | 1.6150 |
1.5521 | 151.0 | 1963 | 1.5718 |
1.5039 | 152.0 | 1976 | 1.6621 |
1.5349 | 153.0 | 1989 | 1.5775 |
1.4856 | 154.0 | 2002 | 1.5395 |
1.5132 | 155.0 | 2015 | 1.6016 |
1.4865 | 156.0 | 2028 | 1.6300 |
1.4883 | 157.0 | 2041 | 1.6204 |
1.4763 | 158.0 | 2054 | 1.6024 |
1.497 | 159.0 | 2067 | 1.5947 |
1.4897 | 160.0 | 2080 | 1.5532 |
1.4797 | 161.0 | 2093 | 1.5129 |
1.4714 | 162.0 | 2106 | 1.5091 |
1.5007 | 163.0 | 2119 | 1.4499 |
1.5007 | 164.0 | 2132 | 1.5607 |
1.4778 | 165.0 | 2145 | 1.5594 |
1.4871 | 166.0 | 2158 | 1.5438 |
1.4718 | 167.0 | 2171 | 1.6030 |
1.487 | 168.0 | 2184 | 1.5506 |
1.464 | 169.0 | 2197 | 1.5435 |
1.4691 | 170.0 | 2210 | 1.5132 |
1.4438 | 171.0 | 2223 | 1.5154 |
1.461 | 172.0 | 2236 | 1.5698 |
1.4319 | 173.0 | 2249 | 1.6740 |
1.4798 | 174.0 | 2262 | 1.5586 |
1.4681 | 175.0 | 2275 | 1.5489 |
1.4587 | 176.0 | 2288 | 1.5589 |
1.4543 | 177.0 | 2301 | 1.5321 |
1.4611 | 178.0 | 2314 | 1.5495 |
1.4155 | 179.0 | 2327 | 1.5491 |
1.4228 | 180.0 | 2340 | 1.4871 |
1.4345 | 181.0 | 2353 | 1.5680 |
1.4325 | 182.0 | 2366 | 1.5306 |
1.404 | 183.0 | 2379 | 1.5051 |
1.4216 | 184.0 | 2392 | 1.5427 |
1.4229 | 185.0 | 2405 | 1.4961 |
1.4293 | 186.0 | 2418 | 1.4781 |
1.4318 | 187.0 | 2431 | 1.4869 |
1.4135 | 188.0 | 2444 | 1.5986 |
1.3873 | 189.0 | 2457 | 1.5333 |
1.394 | 190.0 | 2470 | 1.4695 |
1.4098 | 191.0 | 2483 | 1.5061 |
1.4605 | 192.0 | 2496 | 1.5591 |
1.3858 | 193.0 | 2509 | 1.4991 |
1.4076 | 194.0 | 2522 | 1.4924 |
1.3853 | 195.0 | 2535 | 1.4368 |
1.3562 | 196.0 | 2548 | 1.4973 |
1.3752 | 197.0 | 2561 | 1.4802 |
1.396 | 198.0 | 2574 | 1.5606 |
1.3836 | 199.0 | 2587 | 1.4912 |
1.3682 | 200.0 | 2600 | 1.5184 |
1.3821 | 201.0 | 2613 | 1.4448 |
1.3792 | 202.0 | 2626 | 1.4727 |
1.3755 | 203.0 | 2639 | 1.4996 |
1.3664 | 204.0 | 2652 | 1.4469 |
1.3574 | 205.0 | 2665 | 1.4670 |
1.3948 | 206.0 | 2678 | 1.5356 |
1.3378 | 207.0 | 2691 | 1.4756 |
1.3546 | 208.0 | 2704 | 1.4507 |
1.3547 | 209.0 | 2717 | 1.4986 |
1.3551 | 210.0 | 2730 | 1.4478 |
1.3262 | 211.0 | 2743 | 1.4450 |
1.3577 | 212.0 | 2756 | 1.4713 |
1.3698 | 213.0 | 2769 | 1.4404 |
1.3604 | 214.0 | 2782 | 1.3906 |
1.3733 | 215.0 | 2795 | 1.4844 |
1.3574 | 216.0 | 2808 | 1.4104 |
1.3227 | 217.0 | 2821 | 1.4512 |
1.3409 | 218.0 | 2834 | 1.4661 |
1.3411 | 219.0 | 2847 | 1.4515 |
1.3258 | 220.0 | 2860 | 1.5193 |
1.3194 | 221.0 | 2873 | 1.3303 |
1.332 | 222.0 | 2886 | 1.5037 |
1.3477 | 223.0 | 2899 | 1.4095 |
1.3182 | 224.0 | 2912 | 1.5021 |
1.3456 | 225.0 | 2925 | 1.4410 |
1.3082 | 226.0 | 2938 | 1.5183 |
1.3253 | 227.0 | 2951 | 1.3419 |
1.3171 | 228.0 | 2964 | 1.4621 |
1.2994 | 229.0 | 2977 | 1.4418 |
1.3039 | 230.0 | 2990 | 1.4845 |
1.3418 | 231.0 | 3003 | 1.5488 |
1.2917 | 232.0 | 3016 | 1.4748 |
1.3174 | 233.0 | 3029 | 1.4301 |
1.2929 | 234.0 | 3042 | 1.3867 |
1.3301 | 235.0 | 3055 | 1.5229 |
1.3154 | 236.0 | 3068 | 1.5099 |
1.316 | 237.0 | 3081 | 1.3725 |
1.3278 | 238.0 | 3094 | 1.4296 |
1.311 | 239.0 | 3107 | 1.3594 |
1.3149 | 240.0 | 3120 | 1.4675 |
1.3151 | 241.0 | 3133 | 1.3854 |
1.2792 | 242.0 | 3146 | 1.3681 |
1.2755 | 243.0 | 3159 | 1.3866 |
1.2748 | 244.0 | 3172 | 1.3623 |
1.2969 | 245.0 | 3185 | 1.3822 |
1.2839 | 246.0 | 3198 | 1.4040 |
1.2728 | 247.0 | 3211 | 1.4649 |
1.2853 | 248.0 | 3224 | 1.3486 |
1.3091 | 249.0 | 3237 | 1.3852 |
1.2677 | 250.0 | 3250 | 1.4326 |
1.2627 | 251.0 | 3263 | 1.3952 |
1.2794 | 252.0 | 3276 | 1.3576 |
1.2893 | 253.0 | 3289 | 1.3751 |
1.2483 | 254.0 | 3302 | 1.3861 |
1.2799 | 255.0 | 3315 | 1.3946 |
1.2774 | 256.0 | 3328 | 1.5043 |
1.2501 | 257.0 | 3341 | 1.3320 |
1.2491 | 258.0 | 3354 | 1.2201 |
1.2587 | 259.0 | 3367 | 1.3994 |
1.2771 | 260.0 | 3380 | 1.4088 |
1.2635 | 261.0 | 3393 | 1.3706 |
1.2805 | 262.0 | 3406 | 1.3330 |
1.2196 | 263.0 | 3419 | 1.3849 |
1.2485 | 264.0 | 3432 | 1.3607 |
1.2259 | 265.0 | 3445 | 1.3942 |
1.2653 | 266.0 | 3458 | 1.4019 |
1.2355 | 267.0 | 3471 | 1.2494 |
1.2687 | 268.0 | 3484 | 1.4765 |
1.2547 | 269.0 | 3497 | 1.3954 |
1.2613 | 270.0 | 3510 | 1.4220 |
1.2216 | 271.0 | 3523 | 1.4526 |
1.2494 | 272.0 | 3536 | 1.3749 |
1.2324 | 273.0 | 3549 | 1.4229 |
1.2415 | 274.0 | 3562 | 1.3641 |
1.244 | 275.0 | 3575 | 1.2835 |
1.2287 | 276.0 | 3588 | 1.3544 |
1.2151 | 277.0 | 3601 | 1.3578 |
1.2219 | 278.0 | 3614 | 1.3710 |
1.2077 | 279.0 | 3627 | 1.3806 |
1.2186 | 280.0 | 3640 | 1.3459 |
1.2053 | 281.0 | 3653 | 1.3691 |
1.2268 | 282.0 | 3666 | 1.2611 |
1.2174 | 283.0 | 3679 | 1.3259 |
1.2263 | 284.0 | 3692 | 1.3702 |
1.214 | 285.0 | 3705 | 1.2818 |
1.226 | 286.0 | 3718 | 1.2994 |
1.2331 | 287.0 | 3731 | 1.3583 |
1.2301 | 288.0 | 3744 | 1.3379 |
1.212 | 289.0 | 3757 | 1.3326 |
1.1784 | 290.0 | 3770 | 1.3129 |
1.2246 | 291.0 | 3783 | 1.3665 |
1.2156 | 292.0 | 3796 | 1.3132 |
1.2281 | 293.0 | 3809 | 1.3519 |
1.1816 | 294.0 | 3822 | 1.2700 |
1.2088 | 295.0 | 3835 | 1.3741 |
1.2216 | 296.0 | 3848 | 1.3393 |
1.2214 | 297.0 | 3861 | 1.3340 |
1.1606 | 298.0 | 3874 | 1.4059 |
1.1932 | 299.0 | 3887 | 1.4301 |
1.1879 | 300.0 | 3900 | 1.4612 |
1.2086 | 301.0 | 3913 | 1.2934 |
1.2026 | 302.0 | 3926 | 1.3369 |
1.171 | 303.0 | 3939 | 1.4190 |
1.1941 | 304.0 | 3952 | 1.3881 |
1.1981 | 305.0 | 3965 | 1.3244 |
1.1938 | 306.0 | 3978 | 1.3505 |
1.2111 | 307.0 | 3991 | 1.3938 |
1.2041 | 308.0 | 4004 | 1.2997 |
1.2012 | 309.0 | 4017 | 1.3563 |
1.1794 | 310.0 | 4030 | 1.3185 |
1.2042 | 311.0 | 4043 | 1.3803 |
1.171 | 312.0 | 4056 | 1.2954 |
1.1567 | 313.0 | 4069 | 1.3422 |
1.1743 | 314.0 | 4082 | 1.2974 |
1.205 | 315.0 | 4095 | 1.3749 |
1.1745 | 316.0 | 4108 | 1.4046 |
1.1917 | 317.0 | 4121 | 1.3082 |
1.1749 | 318.0 | 4134 | 1.3277 |
1.1897 | 319.0 | 4147 | 1.2651 |
1.1862 | 320.0 | 4160 | 1.3003 |
1.158 | 321.0 | 4173 | 1.3515 |
1.1488 | 322.0 | 4186 | 1.3738 |
1.1961 | 323.0 | 4199 | 1.2749 |
1.1884 | 324.0 | 4212 | 1.2602 |
1.1475 | 325.0 | 4225 | 1.2695 |
1.1769 | 326.0 | 4238 | 1.2700 |
1.1798 | 327.0 | 4251 | 1.3313 |
1.1643 | 328.0 | 4264 | 1.3272 |
1.1788 | 329.0 | 4277 | 1.2919 |
1.1696 | 330.0 | 4290 | 1.3841 |
1.1562 | 331.0 | 4303 | 1.2884 |
1.1734 | 332.0 | 4316 | 1.2844 |
1.1519 | 333.0 | 4329 | 1.3076 |
1.1685 | 334.0 | 4342 | 1.3387 |
1.1687 | 335.0 | 4355 | 1.2754 |
1.1349 | 336.0 | 4368 | 1.2932 |
1.1367 | 337.0 | 4381 | 1.2461 |
1.1429 | 338.0 | 4394 | 1.3838 |
1.1656 | 339.0 | 4407 | 1.3135 |
1.149 | 340.0 | 4420 | 1.2941 |
1.1412 | 341.0 | 4433 | 1.3608 |
1.1375 | 342.0 | 4446 | 1.2460 |
1.1527 | 343.0 | 4459 | 1.2603 |
1.17 | 344.0 | 4472 | 1.2844 |
1.1512 | 345.0 | 4485 | 1.2820 |
1.1404 | 346.0 | 4498 | 1.1912 |
1.167 | 347.0 | 4511 | 1.3074 |
1.1748 | 348.0 | 4524 | 1.3113 |
1.149 | 349.0 | 4537 | 1.2842 |
1.1907 | 350.0 | 4550 | 1.2868 |
1.1344 | 351.0 | 4563 | 1.3040 |
1.1368 | 352.0 | 4576 | 1.3053 |
1.1519 | 353.0 | 4589 | 1.2947 |
1.1439 | 354.0 | 4602 | 1.2751 |
1.1459 | 355.0 | 4615 | 1.2740 |
1.1673 | 356.0 | 4628 | 1.1941 |
1.1415 | 357.0 | 4641 | 1.2766 |
1.1384 | 358.0 | 4654 | 1.2161 |
1.1411 | 359.0 | 4667 | 1.3156 |
1.1362 | 360.0 | 4680 | 1.3086 |
1.1317 | 361.0 | 4693 | 1.3608 |
1.1168 | 362.0 | 4706 | 1.2478 |
1.1347 | 363.0 | 4719 | 1.2681 |
1.1553 | 364.0 | 4732 | 1.2650 |
1.1487 | 365.0 | 4745 | 1.3514 |
1.1135 | 366.0 | 4758 | 1.3292 |
1.1388 | 367.0 | 4771 | 1.3192 |
1.1818 | 368.0 | 4784 | 1.2937 |
1.1256 | 369.0 | 4797 | 1.3446 |
1.1284 | 370.0 | 4810 | 1.2609 |
1.1352 | 371.0 | 4823 | 1.2070 |
1.1151 | 372.0 | 4836 | 1.2035 |
1.1148 | 373.0 | 4849 | 1.3513 |
1.124 | 374.0 | 4862 | 1.2842 |
1.1213 | 375.0 | 4875 | 1.2513 |
1.1305 | 376.0 | 4888 | 1.2974 |
1.1271 | 377.0 | 4901 | 1.2245 |
1.1085 | 378.0 | 4914 | 1.2812 |
1.1383 | 379.0 | 4927 | 1.2253 |
1.1319 | 380.0 | 4940 | 1.3116 |
1.1268 | 381.0 | 4953 | 1.3139 |
1.1302 | 382.0 | 4966 | 1.2785 |
1.1197 | 383.0 | 4979 | 1.1841 |
1.1167 | 384.0 | 4992 | 1.2763 |
1.1279 | 385.0 | 5005 | 1.2248 |
1.1426 | 386.0 | 5018 | 1.1960 |
1.0997 | 387.0 | 5031 | 1.2735 |
1.1212 | 388.0 | 5044 | 1.3007 |
1.108 | 389.0 | 5057 | 1.2739 |
1.1189 | 390.0 | 5070 | 1.2446 |
1.1156 | 391.0 | 5083 | 1.2815 |
1.1342 | 392.0 | 5096 | 1.2405 |
1.1082 | 393.0 | 5109 | 1.2778 |
1.1091 | 394.0 | 5122 | 1.2683 |
1.1516 | 395.0 | 5135 | 1.1883 |
1.1136 | 396.0 | 5148 | 1.3215 |
1.1115 | 397.0 | 5161 | 1.2671 |
1.1356 | 398.0 | 5174 | 1.1809 |
1.1281 | 399.0 | 5187 | 1.2935 |
1.1241 | 400.0 | 5200 | 1.2595 |
1.0893 | 401.0 | 5213 | 1.2746 |
1.1045 | 402.0 | 5226 | 1.2215 |
1.1184 | 403.0 | 5239 | 1.1524 |
1.1088 | 404.0 | 5252 | 1.3651 |
1.1331 | 405.0 | 5265 | 1.1774 |
1.1151 | 406.0 | 5278 | 1.3032 |
1.1061 | 407.0 | 5291 | 1.3317 |
1.1103 | 408.0 | 5304 | 1.3300 |
1.1343 | 409.0 | 5317 | 1.2831 |
1.1056 | 410.0 | 5330 | 1.2202 |
1.1037 | 411.0 | 5343 | 1.3218 |
1.1131 | 412.0 | 5356 | 1.2714 |
1.1237 | 413.0 | 5369 | 1.2526 |
1.1241 | 414.0 | 5382 | 1.2328 |
1.1332 | 415.0 | 5395 | 1.2634 |
1.128 | 416.0 | 5408 | 1.3259 |
1.0864 | 417.0 | 5421 | 1.3554 |
1.1214 | 418.0 | 5434 | 1.2347 |
1.1177 | 419.0 | 5447 | 1.3417 |
1.0893 | 420.0 | 5460 | 1.2682 |
1.0809 | 421.0 | 5473 | 1.2308 |
1.1074 | 422.0 | 5486 | 1.3069 |
1.1101 | 423.0 | 5499 | 1.2414 |
1.1052 | 424.0 | 5512 | 1.2131 |
1.1036 | 425.0 | 5525 | 1.2598 |
1.1041 | 426.0 | 5538 | 1.2435 |
1.0916 | 427.0 | 5551 | 1.3050 |
1.1182 | 428.0 | 5564 | 1.2315 |
1.1401 | 429.0 | 5577 | 1.2985 |
1.0783 | 430.0 | 5590 | 1.2561 |
1.1023 | 431.0 | 5603 | 1.2018 |
1.0812 | 432.0 | 5616 | 1.2776 |
1.0972 | 433.0 | 5629 | 1.3098 |
1.0974 | 434.0 | 5642 | 1.2912 |
1.1034 | 435.0 | 5655 | 1.2527 |
1.1113 | 436.0 | 5668 | 1.3305 |
1.1026 | 437.0 | 5681 | 1.2507 |
1.1173 | 438.0 | 5694 | 1.1933 |
1.1059 | 439.0 | 5707 | 1.2326 |
1.1059 | 440.0 | 5720 | 1.3398 |
1.0857 | 441.0 | 5733 | 1.2865 |
1.1101 | 442.0 | 5746 | 1.2175 |
1.0909 | 443.0 | 5759 | 1.2195 |
1.0842 | 444.0 | 5772 | 1.1917 |
1.1266 | 445.0 | 5785 | 1.3260 |
1.1003 | 446.0 | 5798 | 1.1981 |
1.1132 | 447.0 | 5811 | 1.3115 |
1.1144 | 448.0 | 5824 | 1.2113 |
1.0909 | 449.0 | 5837 | 1.2275 |
1.0901 | 450.0 | 5850 | 1.3206 |
1.0966 | 451.0 | 5863 | 1.2821 |
1.1113 | 452.0 | 5876 | 1.2246 |
1.1166 | 453.0 | 5889 | 1.2174 |
1.1008 | 454.0 | 5902 | 1.2261 |
1.0867 | 455.0 | 5915 | 1.2382 |
1.0946 | 456.0 | 5928 | 1.2275 |
1.0806 | 457.0 | 5941 | 1.2702 |
1.092 | 458.0 | 5954 | 1.2788 |
1.0781 | 459.0 | 5967 | 1.1919 |
1.0708 | 460.0 | 5980 | 1.2266 |
1.0716 | 461.0 | 5993 | 1.2876 |
1.087 | 462.0 | 6006 | 1.2632 |
1.0925 | 463.0 | 6019 | 1.1550 |
1.0998 | 464.0 | 6032 | 1.2398 |
1.0816 | 465.0 | 6045 | 1.2901 |
1.0661 | 466.0 | 6058 | 1.2204 |
1.0896 | 467.0 | 6071 | 1.2587 |
1.1085 | 468.0 | 6084 | 1.2251 |
1.0629 | 469.0 | 6097 | 1.2259 |
1.0755 | 470.0 | 6110 | 1.1535 |
1.1145 | 471.0 | 6123 | 1.2034 |
1.0803 | 472.0 | 6136 | 1.2616 |
1.0787 | 473.0 | 6149 | 1.2261 |
1.1043 | 474.0 | 6162 | 1.2071 |
1.091 | 475.0 | 6175 | 1.2788 |
1.0938 | 476.0 | 6188 | 1.3360 |
1.0846 | 477.0 | 6201 | 1.1932 |
1.1042 | 478.0 | 6214 | 1.2023 |
1.0737 | 479.0 | 6227 | 1.2668 |
1.0857 | 480.0 | 6240 | 1.2893 |
1.0677 | 481.0 | 6253 | 1.1550 |
1.0779 | 482.0 | 6266 | 1.2404 |
1.0847 | 483.0 | 6279 | 1.2260 |
1.064 | 484.0 | 6292 | 1.2843 |
1.1016 | 485.0 | 6305 | 1.2789 |
1.088 | 486.0 | 6318 | 1.2207 |
1.0721 | 487.0 | 6331 | 1.2481 |
1.0622 | 488.0 | 6344 | 1.2128 |
1.0849 | 489.0 | 6357 | 1.2319 |
1.0665 | 490.0 | 6370 | 1.2880 |
1.0823 | 491.0 | 6383 | 1.2155 |
1.0956 | 492.0 | 6396 | 1.2121 |
1.0685 | 493.0 | 6409 | 1.1844 |
1.0871 | 494.0 | 6422 | 1.3001 |
1.0755 | 495.0 | 6435 | 1.2396 |
1.064 | 496.0 | 6448 | 1.1924 |
1.0898 | 497.0 | 6461 | 1.2475 |
1.0737 | 498.0 | 6474 | 1.2293 |
1.0828 | 499.0 | 6487 | 1.2668 |
1.0921 | 500.0 | 6500 | 1.2141 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3