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100M_low_100_634

Text Generation
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Safetensors
gpt2
Generated from Trainer
text-generation-inference
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  1. README.md +94 -94
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.3046
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- - Accuracy: 0.3943
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  ## Model description
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@@ -50,98 +50,98 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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- | 5.0756 | 0.1076 | 1000 | 5.0171 | 0.2268 |
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- | 4.5802 | 0.2153 | 2000 | 4.4989 | 0.2713 |
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- | 4.2854 | 0.3229 | 3000 | 4.2317 | 0.2990 |
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- | 4.167 | 0.4305 | 4000 | 4.0889 | 0.3130 |
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- | 4.0613 | 0.5382 | 5000 | 3.9930 | 0.3212 |
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- | 3.9942 | 0.6458 | 6000 | 3.9178 | 0.3286 |
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- | 3.9229 | 0.7534 | 7000 | 3.8592 | 0.3342 |
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- | 3.8881 | 0.8610 | 8000 | 3.8148 | 0.3379 |
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- | 3.8573 | 0.9687 | 9000 | 3.7812 | 0.3418 |
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- | 3.7641 | 1.0763 | 10000 | 3.7477 | 0.3450 |
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- | 3.754 | 1.1839 | 11000 | 3.7223 | 0.3477 |
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- | 3.7378 | 1.2916 | 12000 | 3.7006 | 0.3494 |
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- | 3.7056 | 1.3992 | 13000 | 3.6799 | 0.3516 |
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- | 3.7016 | 1.5068 | 14000 | 3.6568 | 0.3540 |
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- | 3.6979 | 1.6145 | 15000 | 3.6372 | 0.3554 |
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- | 3.6631 | 1.7221 | 16000 | 3.6226 | 0.3570 |
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- | 3.6326 | 1.8297 | 17000 | 3.6051 | 0.3591 |
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- | 3.6246 | 1.9374 | 18000 | 3.5890 | 0.3607 |
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- | 3.5539 | 2.0450 | 19000 | 3.5791 | 0.3617 |
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- | 3.562 | 2.1526 | 20000 | 3.5707 | 0.3632 |
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- | 3.5603 | 2.2603 | 21000 | 3.5630 | 0.3640 |
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- | 3.546 | 2.3679 | 22000 | 3.5518 | 0.3645 |
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- | 3.5561 | 2.4755 | 23000 | 3.5396 | 0.3660 |
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- | 3.5528 | 2.5831 | 24000 | 3.5306 | 0.3671 |
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- | 3.5447 | 2.6908 | 25000 | 3.5237 | 0.3676 |
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- | 3.5386 | 2.7984 | 26000 | 3.5149 | 0.3686 |
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- | 3.5145 | 2.9060 | 27000 | 3.5067 | 0.3694 |
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- | 3.4242 | 3.0137 | 28000 | 3.4997 | 0.3704 |
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- | 3.4594 | 3.1213 | 29000 | 3.4994 | 0.3710 |
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- | 3.4337 | 3.2289 | 30000 | 3.4932 | 0.3715 |
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- | 3.4576 | 3.3366 | 31000 | 3.4854 | 0.3725 |
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- | 3.4854 | 3.4442 | 32000 | 3.4774 | 0.3730 |
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- | 3.4504 | 3.5518 | 33000 | 3.4713 | 0.3738 |
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- | 3.449 | 3.6595 | 34000 | 3.4655 | 0.3745 |
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- | 3.4402 | 3.7671 | 35000 | 3.4580 | 0.3751 |
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- | 3.4581 | 3.8747 | 36000 | 3.4535 | 0.3755 |
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- | 3.4399 | 3.9823 | 37000 | 3.4451 | 0.3765 |
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- | 3.3962 | 4.0900 | 38000 | 3.4501 | 0.3765 |
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- | 3.3787 | 4.1976 | 39000 | 3.4459 | 0.3770 |
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- | 3.3976 | 4.3052 | 40000 | 3.4401 | 0.3780 |
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- | 3.3844 | 4.4129 | 41000 | 3.4349 | 0.3778 |
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- | 3.3913 | 4.5205 | 42000 | 3.4319 | 0.3786 |
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- | 3.3802 | 4.6281 | 43000 | 3.4261 | 0.3788 |
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- | 3.393 | 4.7358 | 44000 | 3.4201 | 0.3793 |
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- | 3.4061 | 4.8434 | 45000 | 3.4151 | 0.3799 |
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- | 3.3894 | 4.9510 | 46000 | 3.4102 | 0.3803 |
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- | 3.2988 | 5.0587 | 47000 | 3.4141 | 0.3809 |
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- | 3.3063 | 5.1663 | 48000 | 3.4126 | 0.3808 |
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- | 3.3432 | 5.2739 | 49000 | 3.4081 | 0.3817 |
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- | 3.3325 | 5.3816 | 50000 | 3.4035 | 0.3820 |
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- | 3.3373 | 5.4892 | 51000 | 3.3995 | 0.3824 |
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- | 3.3506 | 5.5968 | 52000 | 3.3941 | 0.3828 |
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- | 3.323 | 5.7044 | 53000 | 3.3892 | 0.3833 |
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- | 3.3388 | 5.8121 | 54000 | 3.3837 | 0.3838 |
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- | 3.3396 | 5.9197 | 55000 | 3.3810 | 0.3840 |
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- | 3.237 | 6.0273 | 56000 | 3.3840 | 0.3840 |
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- | 3.2561 | 6.1350 | 57000 | 3.3840 | 0.3845 |
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- | 3.2553 | 6.2426 | 58000 | 3.3806 | 0.3851 |
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- | 3.2965 | 6.3502 | 59000 | 3.3757 | 0.3853 |
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- | 3.2712 | 6.4579 | 60000 | 3.3729 | 0.3855 |
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- | 3.2857 | 6.5655 | 61000 | 3.3699 | 0.3861 |
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- | 3.2798 | 6.6731 | 62000 | 3.3638 | 0.3860 |
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- | 3.2641 | 6.7808 | 63000 | 3.3598 | 0.3870 |
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- | 3.2795 | 6.8884 | 64000 | 3.3569 | 0.3872 |
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- | 3.2994 | 6.9960 | 65000 | 3.3525 | 0.3876 |
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- | 3.2226 | 7.1036 | 66000 | 3.3595 | 0.3875 |
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- | 3.236 | 7.2113 | 67000 | 3.3553 | 0.3877 |
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- | 3.2177 | 7.3189 | 68000 | 3.3549 | 0.3882 |
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- | 3.2373 | 7.4265 | 69000 | 3.3502 | 0.3882 |
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- | 3.2271 | 7.5342 | 70000 | 3.3471 | 0.3889 |
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- | 3.2571 | 7.6418 | 71000 | 3.3431 | 0.3894 |
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- | 3.2354 | 7.7494 | 72000 | 3.3385 | 0.3895 |
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- | 3.2343 | 7.8571 | 73000 | 3.3357 | 0.3899 |
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- | 3.2224 | 7.9647 | 74000 | 3.3305 | 0.3903 |
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- | 3.1624 | 8.0723 | 75000 | 3.3387 | 0.3902 |
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- | 3.1815 | 8.1800 | 76000 | 3.3347 | 0.3904 |
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- | 3.1758 | 8.2876 | 77000 | 3.3328 | 0.3908 |
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- | 3.1992 | 8.3952 | 78000 | 3.3307 | 0.3910 |
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- | 3.183 | 8.5029 | 79000 | 3.3263 | 0.3914 |
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- | 3.1571 | 8.6105 | 80000 | 3.3238 | 0.3917 |
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- | 3.1844 | 8.7181 | 81000 | 3.3208 | 0.3921 |
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- | 3.1748 | 8.8257 | 82000 | 3.3174 | 0.3926 |
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- | 3.1609 | 8.9334 | 83000 | 3.3138 | 0.3929 |
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- | 3.1272 | 9.0410 | 84000 | 3.3160 | 0.3927 |
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- | 3.1285 | 9.1486 | 85000 | 3.3172 | 0.3928 |
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- | 3.1459 | 9.2563 | 86000 | 3.3139 | 0.3931 |
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- | 3.1261 | 9.3639 | 87000 | 3.3116 | 0.3934 |
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- | 3.1134 | 9.4715 | 88000 | 3.3102 | 0.3936 |
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- | 3.1413 | 9.5792 | 89000 | 3.3069 | 0.3940 |
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- | 3.1369 | 9.6868 | 90000 | 3.3046 | 0.3943 |
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- | 3.1464 | 9.7944 | 91000 | 3.3022 | 0.3945 |
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- | 3.1453 | 9.9021 | 92000 | 3.3009 | 0.3948 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3019
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+ - Accuracy: 0.3944
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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+ | 5.0765 | 0.1078 | 1000 | 5.0217 | 0.2273 |
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+ | 4.5772 | 0.2156 | 2000 | 4.5015 | 0.2714 |
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+ | 4.3085 | 0.3235 | 3000 | 4.2332 | 0.2989 |
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+ | 4.1541 | 0.4313 | 4000 | 4.0843 | 0.3130 |
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+ | 4.0732 | 0.5391 | 5000 | 3.9919 | 0.3223 |
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+ | 3.9623 | 0.6469 | 6000 | 3.9154 | 0.3290 |
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+ | 3.9291 | 0.7547 | 7000 | 3.8598 | 0.3335 |
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+ | 3.8652 | 0.8625 | 8000 | 3.8141 | 0.3380 |
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+ | 3.8655 | 0.9704 | 9000 | 3.7787 | 0.3413 |
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+ | 3.7691 | 1.0782 | 10000 | 3.7464 | 0.3453 |
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+ | 3.7393 | 1.1860 | 11000 | 3.7238 | 0.3472 |
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+ | 3.7248 | 1.2938 | 12000 | 3.6991 | 0.3495 |
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+ | 3.7151 | 1.4016 | 13000 | 3.6801 | 0.3519 |
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+ | 3.6969 | 1.5094 | 14000 | 3.6548 | 0.3542 |
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+ | 3.6822 | 1.6173 | 15000 | 3.6404 | 0.3556 |
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+ | 3.6547 | 1.7251 | 16000 | 3.6199 | 0.3573 |
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+ | 3.6355 | 1.8329 | 17000 | 3.6049 | 0.3590 |
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+ | 3.6474 | 1.9407 | 18000 | 3.5898 | 0.3602 |
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+ | 3.5646 | 2.0485 | 19000 | 3.5839 | 0.3614 |
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+ | 3.5599 | 2.1563 | 20000 | 3.5736 | 0.3625 |
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+ | 3.5482 | 2.2642 | 21000 | 3.5599 | 0.3640 |
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+ | 3.562 | 2.3720 | 22000 | 3.5508 | 0.3649 |
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+ | 3.5459 | 2.4798 | 23000 | 3.5383 | 0.3662 |
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+ | 3.5462 | 2.5876 | 24000 | 3.5319 | 0.3669 |
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+ | 3.5523 | 2.6954 | 25000 | 3.5222 | 0.3680 |
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+ | 3.5339 | 2.8032 | 26000 | 3.5158 | 0.3684 |
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+ | 3.5378 | 2.9111 | 27000 | 3.5046 | 0.3698 |
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+ | 3.4285 | 3.0189 | 28000 | 3.5003 | 0.3703 |
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+ | 3.4526 | 3.1267 | 29000 | 3.4940 | 0.3712 |
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+ | 3.4631 | 3.2345 | 30000 | 3.4905 | 0.3716 |
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+ | 3.4485 | 3.3423 | 31000 | 3.4822 | 0.3724 |
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+ | 3.4613 | 3.4501 | 32000 | 3.4756 | 0.3733 |
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+ | 3.4479 | 3.5580 | 33000 | 3.4712 | 0.3737 |
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+ | 3.464 | 3.6658 | 34000 | 3.4642 | 0.3743 |
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+ | 3.447 | 3.7736 | 35000 | 3.4597 | 0.3745 |
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+ | 3.453 | 3.8814 | 36000 | 3.4513 | 0.3755 |
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+ | 3.4401 | 3.9892 | 37000 | 3.4461 | 0.3759 |
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+ | 3.3826 | 4.0970 | 38000 | 3.4487 | 0.3766 |
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+ | 3.3797 | 4.2049 | 39000 | 3.4453 | 0.3766 |
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+ | 3.397 | 4.3127 | 40000 | 3.4408 | 0.3773 |
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+ | 3.3907 | 4.4205 | 41000 | 3.4337 | 0.3778 |
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+ | 3.3865 | 4.5283 | 42000 | 3.4297 | 0.3789 |
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+ | 3.4048 | 4.6361 | 43000 | 3.4242 | 0.3789 |
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+ | 3.3723 | 4.7439 | 44000 | 3.4181 | 0.3796 |
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+ | 3.3969 | 4.8518 | 45000 | 3.4141 | 0.3801 |
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+ | 3.3867 | 4.9596 | 46000 | 3.4106 | 0.3806 |
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+ | 3.3111 | 5.0674 | 47000 | 3.4154 | 0.3804 |
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+ | 3.3174 | 5.1752 | 48000 | 3.4117 | 0.3809 |
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+ | 3.3123 | 5.2830 | 49000 | 3.4097 | 0.3812 |
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+ | 3.3394 | 5.3908 | 50000 | 3.4040 | 0.3820 |
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+ | 3.3221 | 5.4987 | 51000 | 3.3973 | 0.3824 |
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+ | 3.3428 | 5.6065 | 52000 | 3.3958 | 0.3826 |
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+ | 3.35 | 5.7143 | 53000 | 3.3925 | 0.3829 |
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+ | 3.3319 | 5.8221 | 54000 | 3.3874 | 0.3832 |
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+ | 3.3318 | 5.9299 | 55000 | 3.3820 | 0.3839 |
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+ | 3.2649 | 6.0377 | 56000 | 3.3864 | 0.3839 |
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+ | 3.2537 | 6.1456 | 57000 | 3.3852 | 0.3839 |
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+ | 3.2566 | 6.2534 | 58000 | 3.3822 | 0.3843 |
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+ | 3.2887 | 6.3612 | 59000 | 3.3787 | 0.3848 |
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+ | 3.2905 | 6.4690 | 60000 | 3.3724 | 0.3853 |
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+ | 3.2855 | 6.5768 | 61000 | 3.3711 | 0.3855 |
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+ | 3.2744 | 6.6846 | 62000 | 3.3641 | 0.3863 |
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+ | 3.2813 | 6.7925 | 63000 | 3.3622 | 0.3866 |
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+ | 3.2983 | 6.9003 | 64000 | 3.3589 | 0.3870 |
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+ | 3.2014 | 7.0081 | 65000 | 3.3600 | 0.3871 |
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+ | 3.2214 | 7.1159 | 66000 | 3.3603 | 0.3871 |
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+ | 3.2243 | 7.2237 | 67000 | 3.3584 | 0.3876 |
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+ | 3.226 | 7.3315 | 68000 | 3.3553 | 0.3880 |
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+ | 3.2498 | 7.4394 | 69000 | 3.3517 | 0.3881 |
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+ | 3.2323 | 7.5472 | 70000 | 3.3482 | 0.3886 |
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+ | 3.2291 | 7.6550 | 71000 | 3.3445 | 0.3888 |
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+ | 3.2425 | 7.7628 | 72000 | 3.3382 | 0.3892 |
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+ | 3.2255 | 7.8706 | 73000 | 3.3369 | 0.3897 |
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+ | 3.2364 | 7.9784 | 74000 | 3.3334 | 0.3900 |
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+ | 3.1645 | 8.0863 | 75000 | 3.3394 | 0.3898 |
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+ | 3.1706 | 8.1941 | 76000 | 3.3368 | 0.3903 |
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+ | 3.184 | 8.3019 | 77000 | 3.3336 | 0.3902 |
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+ | 3.1718 | 8.4097 | 78000 | 3.3315 | 0.3907 |
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+ | 3.1856 | 8.5175 | 79000 | 3.3278 | 0.3911 |
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+ | 3.183 | 8.6253 | 80000 | 3.3252 | 0.3916 |
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+ | 3.1966 | 8.7332 | 81000 | 3.3210 | 0.3917 |
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+ | 3.1822 | 8.8410 | 82000 | 3.3178 | 0.3921 |
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+ | 3.1943 | 8.9488 | 83000 | 3.3150 | 0.3925 |
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+ | 3.1264 | 9.0566 | 84000 | 3.3184 | 0.3924 |
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+ | 3.1269 | 9.1644 | 85000 | 3.3160 | 0.3927 |
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+ | 3.1368 | 9.2722 | 86000 | 3.3146 | 0.3928 |
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+ | 3.1258 | 9.3801 | 87000 | 3.3132 | 0.3932 |
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+ | 3.1345 | 9.4879 | 88000 | 3.3097 | 0.3936 |
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+ | 3.1503 | 9.5957 | 89000 | 3.3072 | 0.3939 |
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+ | 3.1338 | 9.7035 | 90000 | 3.3054 | 0.3941 |
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+ | 3.1363 | 9.8113 | 91000 | 3.3036 | 0.3943 |
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+ | 3.1107 | 9.9191 | 92000 | 3.3019 | 0.3944 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:7750a352435a2c2a1351f395bf6a72d33f39652de9ce9900d66640368a0afbb1
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:884e8b7855681b666cc325a69502d3c73d4dfd6a046dfaf3541853e1326e8aee
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  size 503128704