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100M_high_10_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: 3.3049
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- - Accuracy: 0.3942
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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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- | 5.1177 | 0.1076 | 1000 | 5.0294 | 0.2262 |
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- | 4.5994 | 0.2153 | 2000 | 4.5360 | 0.2673 |
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- | 4.3277 | 0.3229 | 3000 | 4.2461 | 0.2974 |
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- | 4.1778 | 0.4305 | 4000 | 4.1023 | 0.3110 |
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- | 4.068 | 0.5382 | 5000 | 3.9996 | 0.3205 |
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- | 4.0007 | 0.6458 | 6000 | 3.9264 | 0.3270 |
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- | 3.943 | 0.7534 | 7000 | 3.8690 | 0.3326 |
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- | 3.8965 | 0.8610 | 8000 | 3.8268 | 0.3363 |
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- | 3.8506 | 0.9687 | 9000 | 3.7795 | 0.3407 |
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- | 3.7677 | 1.0763 | 10000 | 3.7522 | 0.3439 |
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- | 3.7535 | 1.1839 | 11000 | 3.7248 | 0.3464 |
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- | 3.713 | 1.2916 | 12000 | 3.7006 | 0.3494 |
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- | 3.7026 | 1.3992 | 13000 | 3.6775 | 0.3516 |
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- | 3.7132 | 1.5068 | 14000 | 3.6566 | 0.3534 |
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- | 3.7027 | 1.6145 | 15000 | 3.6373 | 0.3553 |
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- | 3.6764 | 1.7221 | 16000 | 3.6240 | 0.3569 |
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- | 3.6659 | 1.8297 | 17000 | 3.6075 | 0.3584 |
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- | 3.6244 | 1.9374 | 18000 | 3.5956 | 0.3598 |
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- | 3.5447 | 2.0450 | 19000 | 3.5837 | 0.3615 |
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- | 3.5784 | 2.1526 | 20000 | 3.5736 | 0.3627 |
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- | 3.5617 | 2.2603 | 21000 | 3.5632 | 0.3634 |
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- | 3.5576 | 2.3679 | 22000 | 3.5511 | 0.3647 |
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- | 3.5658 | 2.4755 | 23000 | 3.5404 | 0.3656 |
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- | 3.5484 | 2.5831 | 24000 | 3.5333 | 0.3664 |
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- | 3.5417 | 2.6908 | 25000 | 3.5245 | 0.3675 |
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- | 3.5371 | 2.7984 | 26000 | 3.5147 | 0.3685 |
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- | 3.525 | 2.9060 | 27000 | 3.5056 | 0.3697 |
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- | 3.4452 | 3.0137 | 28000 | 3.5023 | 0.3696 |
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- | 3.4518 | 3.1213 | 29000 | 3.4960 | 0.3709 |
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- | 3.4466 | 3.2289 | 30000 | 3.4902 | 0.3712 |
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- | 3.4547 | 3.3366 | 31000 | 3.4858 | 0.3721 |
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- | 3.4571 | 3.4442 | 32000 | 3.4785 | 0.3725 |
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- | 3.4638 | 3.5518 | 33000 | 3.4726 | 0.3733 |
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- | 3.4509 | 3.6595 | 34000 | 3.4652 | 0.3740 |
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- | 3.4653 | 3.7671 | 35000 | 3.4581 | 0.3751 |
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- | 3.4738 | 3.8747 | 36000 | 3.4525 | 0.3755 |
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- | 3.4645 | 3.9823 | 37000 | 3.4460 | 0.3760 |
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- | 3.3725 | 4.0900 | 38000 | 3.4521 | 0.3763 |
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- | 3.3725 | 4.1976 | 39000 | 3.4450 | 0.3768 |
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- | 3.3827 | 4.3052 | 40000 | 3.4397 | 0.3772 |
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- | 3.397 | 4.4129 | 41000 | 3.4379 | 0.3778 |
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- | 3.3985 | 4.5205 | 42000 | 3.4306 | 0.3783 |
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- | 3.4061 | 4.6281 | 43000 | 3.4248 | 0.3789 |
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- | 3.4034 | 4.7358 | 44000 | 3.4198 | 0.3795 |
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- | 3.3762 | 4.8434 | 45000 | 3.4173 | 0.3798 |
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- | 3.391 | 4.9510 | 46000 | 3.4104 | 0.3807 |
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- | 3.2995 | 5.0587 | 47000 | 3.4131 | 0.3805 |
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- | 3.3045 | 5.1663 | 48000 | 3.4112 | 0.3810 |
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- | 3.3328 | 5.2739 | 49000 | 3.4087 | 0.3812 |
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- | 3.3414 | 5.3816 | 50000 | 3.4048 | 0.3813 |
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- | 3.3295 | 5.4892 | 51000 | 3.4010 | 0.3821 |
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- | 3.3464 | 5.5968 | 52000 | 3.3939 | 0.3829 |
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- | 3.3144 | 5.7044 | 53000 | 3.3901 | 0.3832 |
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- | 3.3287 | 5.8121 | 54000 | 3.3853 | 0.3836 |
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- | 3.3592 | 5.9197 | 55000 | 3.3822 | 0.3839 |
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- | 3.2446 | 6.0273 | 56000 | 3.3853 | 0.3844 |
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- | 3.2754 | 6.1350 | 57000 | 3.3830 | 0.3842 |
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- | 3.2883 | 6.2426 | 58000 | 3.3819 | 0.3842 |
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- | 3.2904 | 6.3502 | 59000 | 3.3785 | 0.3852 |
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- | 3.2706 | 6.4579 | 60000 | 3.3746 | 0.3851 |
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- | 3.2785 | 6.5655 | 61000 | 3.3689 | 0.3857 |
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- | 3.3159 | 6.6731 | 62000 | 3.3655 | 0.3861 |
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- | 3.2961 | 6.7808 | 63000 | 3.3613 | 0.3866 |
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- | 3.2735 | 6.8884 | 64000 | 3.3575 | 0.3871 |
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- | 3.2944 | 6.9960 | 65000 | 3.3536 | 0.3874 |
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- | 3.2144 | 7.1036 | 66000 | 3.3592 | 0.3872 |
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- | 3.2153 | 7.2113 | 67000 | 3.3575 | 0.3875 |
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- | 3.224 | 7.3189 | 68000 | 3.3541 | 0.3879 |
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- | 3.2487 | 7.4265 | 69000 | 3.3532 | 0.3881 |
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- | 3.2268 | 7.5342 | 70000 | 3.3476 | 0.3885 |
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- | 3.2568 | 7.6418 | 71000 | 3.3431 | 0.3894 |
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- | 3.2373 | 7.7494 | 72000 | 3.3416 | 0.3894 |
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- | 3.2292 | 7.8571 | 73000 | 3.3368 | 0.3897 |
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- | 3.246 | 7.9647 | 74000 | 3.3342 | 0.3902 |
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- | 3.1775 | 8.0723 | 75000 | 3.3384 | 0.3901 |
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- | 3.1831 | 8.1800 | 76000 | 3.3359 | 0.3903 |
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- | 3.1896 | 8.2876 | 77000 | 3.3342 | 0.3907 |
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- | 3.1817 | 8.3952 | 78000 | 3.3321 | 0.3909 |
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- | 3.1782 | 8.5029 | 79000 | 3.3279 | 0.3914 |
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- | 3.1887 | 8.6105 | 80000 | 3.3246 | 0.3915 |
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- | 3.1736 | 8.7181 | 81000 | 3.3206 | 0.3920 |
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- | 3.1939 | 8.8257 | 82000 | 3.3167 | 0.3924 |
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- | 3.1987 | 8.9334 | 83000 | 3.3146 | 0.3928 |
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- | 3.1286 | 9.0410 | 84000 | 3.3167 | 0.3929 |
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- | 3.1275 | 9.1486 | 85000 | 3.3161 | 0.3929 |
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- | 3.1454 | 9.2563 | 86000 | 3.3146 | 0.3931 |
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- | 3.1501 | 9.3639 | 87000 | 3.3114 | 0.3934 |
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- | 3.1408 | 9.4715 | 88000 | 3.3092 | 0.3938 |
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- | 3.1275 | 9.5792 | 89000 | 3.3074 | 0.3939 |
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- | 3.1315 | 9.6868 | 90000 | 3.3049 | 0.3942 |
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- | 3.1362 | 9.7944 | 91000 | 3.3025 | 0.3945 |
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- | 3.1287 | 9.9021 | 92000 | 3.3015 | 0.3946 |
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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: 3.2983
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+ - Accuracy: 0.3949
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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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+ | 5.0764 | 0.1078 | 1000 | 5.0226 | 0.2271 |
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+ | 4.5638 | 0.2156 | 2000 | 4.4879 | 0.2741 |
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+ | 4.3063 | 0.3235 | 3000 | 4.2303 | 0.2997 |
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+ | 4.1527 | 0.4313 | 4000 | 4.0830 | 0.3131 |
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+ | 4.073 | 0.5391 | 5000 | 3.9898 | 0.3219 |
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+ | 3.9622 | 0.6469 | 6000 | 3.9162 | 0.3285 |
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+ | 3.9278 | 0.7547 | 7000 | 3.8591 | 0.3336 |
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+ | 3.8672 | 0.8625 | 8000 | 3.8154 | 0.3377 |
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+ | 3.8627 | 0.9704 | 9000 | 3.7761 | 0.3415 |
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+ | 3.7674 | 1.0782 | 10000 | 3.7472 | 0.3450 |
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+ | 3.7407 | 1.1860 | 11000 | 3.7208 | 0.3474 |
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+ | 3.7217 | 1.2938 | 12000 | 3.6979 | 0.3495 |
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+ | 3.7132 | 1.4016 | 13000 | 3.6765 | 0.3520 |
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+ | 3.6939 | 1.5094 | 14000 | 3.6518 | 0.3539 |
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+ | 3.6797 | 1.6173 | 15000 | 3.6348 | 0.3556 |
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+ | 3.652 | 1.7251 | 16000 | 3.6183 | 0.3573 |
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+ | 3.6326 | 1.8329 | 17000 | 3.6031 | 0.3590 |
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+ | 3.6437 | 1.9407 | 18000 | 3.5881 | 0.3605 |
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+ | 3.5601 | 2.0485 | 19000 | 3.5792 | 0.3619 |
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+ | 3.5572 | 2.1563 | 20000 | 3.5703 | 0.3629 |
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+ | 3.5458 | 2.2642 | 21000 | 3.5570 | 0.3643 |
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+ | 3.5588 | 2.3720 | 22000 | 3.5470 | 0.3650 |
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+ | 3.5426 | 2.4798 | 23000 | 3.5358 | 0.3661 |
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+ | 3.5418 | 2.5876 | 24000 | 3.5287 | 0.3672 |
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+ | 3.5492 | 2.6954 | 25000 | 3.5178 | 0.3681 |
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+ | 3.529 | 2.8032 | 26000 | 3.5103 | 0.3689 |
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+ | 3.5343 | 2.9111 | 27000 | 3.5017 | 0.3699 |
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+ | 3.4241 | 3.0189 | 28000 | 3.4973 | 0.3707 |
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+ | 3.4478 | 3.1267 | 29000 | 3.4917 | 0.3714 |
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+ | 3.4573 | 3.2345 | 30000 | 3.4864 | 0.3717 |
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+ | 3.4438 | 3.3423 | 31000 | 3.4799 | 0.3725 |
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+ | 3.4567 | 3.4501 | 32000 | 3.4738 | 0.3735 |
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+ | 3.442 | 3.5580 | 33000 | 3.4683 | 0.3740 |
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+ | 3.4581 | 3.6658 | 34000 | 3.4594 | 0.3747 |
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+ | 3.4414 | 3.7736 | 35000 | 3.4549 | 0.3752 |
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+ | 3.4486 | 3.8814 | 36000 | 3.4475 | 0.3759 |
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+ | 3.4352 | 3.9892 | 37000 | 3.4428 | 0.3765 |
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+ | 3.3747 | 4.0970 | 38000 | 3.4463 | 0.3770 |
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+ | 3.3737 | 4.2049 | 39000 | 3.4411 | 0.3771 |
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+ | 3.3916 | 4.3127 | 40000 | 3.4384 | 0.3776 |
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+ | 3.3863 | 4.4205 | 41000 | 3.4305 | 0.3783 |
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+ | 3.3815 | 4.5283 | 42000 | 3.4257 | 0.3790 |
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+ | 3.4018 | 4.6361 | 43000 | 3.4217 | 0.3793 |
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+ | 3.3676 | 4.7439 | 44000 | 3.4157 | 0.3799 |
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+ | 3.3917 | 4.8518 | 45000 | 3.4108 | 0.3807 |
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+ | 3.3799 | 4.9596 | 46000 | 3.4063 | 0.3811 |
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+ | 3.3043 | 5.0674 | 47000 | 3.4116 | 0.3810 |
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+ | 3.3108 | 5.1752 | 48000 | 3.4072 | 0.3814 |
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+ | 3.309 | 5.2830 | 49000 | 3.4050 | 0.3815 |
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+ | 3.3336 | 5.3908 | 50000 | 3.3986 | 0.3823 |
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+ | 3.3163 | 5.4987 | 51000 | 3.3944 | 0.3830 |
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+ | 3.3374 | 5.6065 | 52000 | 3.3927 | 0.3830 |
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+ | 3.3445 | 5.7143 | 53000 | 3.3867 | 0.3835 |
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+ | 3.3265 | 5.8221 | 54000 | 3.3820 | 0.3838 |
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+ | 3.3275 | 5.9299 | 55000 | 3.3761 | 0.3844 |
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+ | 3.258 | 6.0377 | 56000 | 3.3830 | 0.3844 |
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+ | 3.2474 | 6.1456 | 57000 | 3.3827 | 0.3843 |
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+ | 3.25 | 6.2534 | 58000 | 3.3776 | 0.3850 |
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+ | 3.2831 | 6.3612 | 59000 | 3.3740 | 0.3855 |
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+ | 3.2853 | 6.4690 | 60000 | 3.3694 | 0.3858 |
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+ | 3.2777 | 6.5768 | 61000 | 3.3682 | 0.3860 |
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+ | 3.2695 | 6.6846 | 62000 | 3.3604 | 0.3868 |
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+ | 3.2761 | 6.7925 | 63000 | 3.3585 | 0.3871 |
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+ | 3.2935 | 6.9003 | 64000 | 3.3546 | 0.3875 |
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+ | 3.1964 | 7.0081 | 65000 | 3.3563 | 0.3877 |
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+ | 3.2153 | 7.1159 | 66000 | 3.3569 | 0.3877 |
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+ | 3.218 | 7.2237 | 67000 | 3.3527 | 0.3883 |
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+ | 3.2223 | 7.3315 | 68000 | 3.3514 | 0.3886 |
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+ | 3.2445 | 7.4394 | 69000 | 3.3482 | 0.3886 |
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+ | 3.2289 | 7.5472 | 70000 | 3.3443 | 0.3891 |
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+ | 3.2242 | 7.6550 | 71000 | 3.3404 | 0.3894 |
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+ | 3.2383 | 7.7628 | 72000 | 3.3350 | 0.3897 |
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+ | 3.2229 | 7.8706 | 73000 | 3.3326 | 0.3903 |
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+ | 3.2311 | 7.9784 | 74000 | 3.3291 | 0.3907 |
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+ | 3.1589 | 8.0863 | 75000 | 3.3360 | 0.3903 |
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+ | 3.165 | 8.1941 | 76000 | 3.3348 | 0.3905 |
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+ | 3.1776 | 8.3019 | 77000 | 3.3307 | 0.3907 |
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+ | 3.1673 | 8.4097 | 78000 | 3.3273 | 0.3912 |
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+ | 3.1821 | 8.5175 | 79000 | 3.3233 | 0.3915 |
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+ | 3.1805 | 8.6253 | 80000 | 3.3220 | 0.3921 |
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+ | 3.1934 | 8.7332 | 81000 | 3.3167 | 0.3923 |
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+ | 3.1779 | 8.8410 | 82000 | 3.3133 | 0.3928 |
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+ | 3.1928 | 8.9488 | 83000 | 3.3111 | 0.3930 |
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+ | 3.1205 | 9.0566 | 84000 | 3.3146 | 0.3930 |
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+ | 3.122 | 9.1644 | 85000 | 3.3133 | 0.3932 |
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+ | 3.1309 | 9.2722 | 86000 | 3.3109 | 0.3934 |
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+ | 3.1188 | 9.3801 | 87000 | 3.3091 | 0.3937 |
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+ | 3.1284 | 9.4879 | 88000 | 3.3054 | 0.3942 |
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+ | 3.1434 | 9.5957 | 89000 | 3.3033 | 0.3943 |
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+ | 3.1294 | 9.7035 | 90000 | 3.3020 | 0.3945 |
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+ | 3.1316 | 9.8113 | 91000 | 3.2993 | 0.3947 |
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+ | 3.104 | 9.9191 | 92000 | 3.2983 | 0.3949 |
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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:c046d408892ea7842db0273518d5580a080f21167257acdafd5abebcc1a6ba52
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:61ef92cf16688edb3626278b186e7e1e867c798203442e69a6a6d35b42c06fe0
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  size 503128704