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100M_high_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: 3.2973
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- - Accuracy: 0.3949
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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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- | 5.074 | 0.1076 | 1000 | 5.0097 | 0.2282 |
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- | 4.6017 | 0.2153 | 2000 | 4.5062 | 0.2713 |
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- | 4.3132 | 0.3229 | 3000 | 4.2375 | 0.2987 |
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- | 4.1846 | 0.4305 | 4000 | 4.0858 | 0.3127 |
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- | 4.077 | 0.5382 | 5000 | 3.9869 | 0.3215 |
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- | 3.9945 | 0.6458 | 6000 | 3.9155 | 0.3288 |
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- | 3.9278 | 0.7534 | 7000 | 3.8632 | 0.3334 |
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- | 3.8675 | 0.8610 | 8000 | 3.8149 | 0.3377 |
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- | 3.8567 | 0.9687 | 9000 | 3.7778 | 0.3418 |
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- | 3.7532 | 1.0763 | 10000 | 3.7462 | 0.3445 |
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- | 3.7442 | 1.1839 | 11000 | 3.7210 | 0.3468 |
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- | 3.7288 | 1.2916 | 12000 | 3.6982 | 0.3489 |
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- | 3.7047 | 1.3992 | 13000 | 3.6754 | 0.3518 |
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- | 3.6828 | 1.5068 | 14000 | 3.6528 | 0.3537 |
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- | 3.6835 | 1.6145 | 15000 | 3.6361 | 0.3558 |
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- | 3.6719 | 1.7221 | 16000 | 3.6179 | 0.3573 |
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- | 3.6388 | 1.8297 | 17000 | 3.6044 | 0.3585 |
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- | 3.6391 | 1.9374 | 18000 | 3.5895 | 0.3602 |
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- | 3.5481 | 2.0450 | 19000 | 3.5802 | 0.3616 |
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- | 3.5451 | 2.1526 | 20000 | 3.5689 | 0.3628 |
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- | 3.5695 | 2.2603 | 21000 | 3.5590 | 0.3641 |
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- | 3.5446 | 2.3679 | 22000 | 3.5501 | 0.3648 |
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- | 3.5502 | 2.4755 | 23000 | 3.5378 | 0.3660 |
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- | 3.524 | 2.5831 | 24000 | 3.5281 | 0.3670 |
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- | 3.5405 | 2.6908 | 25000 | 3.5186 | 0.3678 |
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- | 3.5453 | 2.7984 | 26000 | 3.5103 | 0.3686 |
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- | 3.5168 | 2.9060 | 27000 | 3.5036 | 0.3699 |
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- | 3.4225 | 3.0137 | 28000 | 3.4940 | 0.3709 |
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- | 3.4547 | 3.1213 | 29000 | 3.4926 | 0.3713 |
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- | 3.4432 | 3.2289 | 30000 | 3.4888 | 0.3717 |
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- | 3.4522 | 3.3366 | 31000 | 3.4803 | 0.3726 |
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- | 3.456 | 3.4442 | 32000 | 3.4746 | 0.3731 |
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- | 3.4403 | 3.5518 | 33000 | 3.4683 | 0.3739 |
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- | 3.4479 | 3.6595 | 34000 | 3.4580 | 0.3746 |
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- | 3.4634 | 3.7671 | 35000 | 3.4550 | 0.3751 |
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- | 3.4415 | 3.8747 | 36000 | 3.4500 | 0.3756 |
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- | 3.4452 | 3.9823 | 37000 | 3.4427 | 0.3761 |
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- | 3.3587 | 4.0900 | 38000 | 3.4472 | 0.3767 |
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- | 3.3813 | 4.1976 | 39000 | 3.4412 | 0.3769 |
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- | 3.3828 | 4.3052 | 40000 | 3.4384 | 0.3777 |
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- | 3.3843 | 4.4129 | 41000 | 3.4309 | 0.3783 |
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- | 3.3777 | 4.5205 | 42000 | 3.4269 | 0.3787 |
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- | 3.3728 | 4.6281 | 43000 | 3.4215 | 0.3793 |
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- | 3.4003 | 4.7358 | 44000 | 3.4164 | 0.3794 |
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- | 3.3986 | 4.8434 | 45000 | 3.4111 | 0.3800 |
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- | 3.3856 | 4.9510 | 46000 | 3.4070 | 0.3805 |
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- | 3.2856 | 5.0587 | 47000 | 3.4102 | 0.3808 |
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- | 3.3049 | 5.1663 | 48000 | 3.4100 | 0.3811 |
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- | 3.3367 | 5.2739 | 49000 | 3.4042 | 0.3814 |
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- | 3.3232 | 5.3816 | 50000 | 3.3986 | 0.3821 |
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- | 3.3296 | 5.4892 | 51000 | 3.3947 | 0.3824 |
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- | 3.331 | 5.5968 | 52000 | 3.3909 | 0.3827 |
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- | 3.3379 | 5.7044 | 53000 | 3.3861 | 0.3834 |
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- | 3.3528 | 5.8121 | 54000 | 3.3840 | 0.3835 |
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- | 3.3334 | 5.9197 | 55000 | 3.3787 | 0.3842 |
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- | 3.2421 | 6.0273 | 56000 | 3.3818 | 0.3842 |
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- | 3.2576 | 6.1350 | 57000 | 3.3817 | 0.3847 |
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- | 3.274 | 6.2426 | 58000 | 3.3770 | 0.3849 |
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- | 3.2591 | 6.3502 | 59000 | 3.3764 | 0.3852 |
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- | 3.2623 | 6.4579 | 60000 | 3.3721 | 0.3856 |
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- | 3.271 | 6.5655 | 61000 | 3.3654 | 0.3861 |
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- | 3.2606 | 6.6731 | 62000 | 3.3635 | 0.3863 |
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- | 3.2747 | 6.7808 | 63000 | 3.3600 | 0.3867 |
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- | 3.2911 | 6.8884 | 64000 | 3.3539 | 0.3873 |
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- | 3.2736 | 6.9960 | 65000 | 3.3495 | 0.3877 |
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- | 3.214 | 7.1036 | 66000 | 3.3577 | 0.3874 |
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- | 3.2085 | 7.2113 | 67000 | 3.3574 | 0.3874 |
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- | 3.2379 | 7.3189 | 68000 | 3.3511 | 0.3880 |
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- | 3.2327 | 7.4265 | 69000 | 3.3485 | 0.3885 |
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- | 3.2217 | 7.5342 | 70000 | 3.3455 | 0.3888 |
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- | 3.2361 | 7.6418 | 71000 | 3.3414 | 0.3892 |
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- | 3.2342 | 7.7494 | 72000 | 3.3369 | 0.3896 |
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- | 3.2513 | 7.8571 | 73000 | 3.3334 | 0.3897 |
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- | 3.2267 | 7.9647 | 74000 | 3.3274 | 0.3907 |
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- | 3.1644 | 8.0723 | 75000 | 3.3340 | 0.3902 |
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- | 3.1815 | 8.1800 | 76000 | 3.3331 | 0.3905 |
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- | 3.188 | 8.2876 | 77000 | 3.3320 | 0.3905 |
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- | 3.1761 | 8.3952 | 78000 | 3.3267 | 0.3911 |
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- | 3.1751 | 8.5029 | 79000 | 3.3258 | 0.3913 |
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- | 3.1919 | 8.6105 | 80000 | 3.3206 | 0.3918 |
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- | 3.1725 | 8.7181 | 81000 | 3.3179 | 0.3921 |
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- | 3.1792 | 8.8257 | 82000 | 3.3138 | 0.3924 |
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- | 3.1888 | 8.9334 | 83000 | 3.3110 | 0.3928 |
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- | 3.1216 | 9.0410 | 84000 | 3.3141 | 0.3928 |
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- | 3.1259 | 9.1486 | 85000 | 3.3141 | 0.3928 |
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- | 3.1176 | 9.2563 | 86000 | 3.3116 | 0.3932 |
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- | 3.1277 | 9.3639 | 87000 | 3.3089 | 0.3936 |
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- | 3.1291 | 9.4715 | 88000 | 3.3068 | 0.3937 |
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- | 3.1247 | 9.5792 | 89000 | 3.3039 | 0.3940 |
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- | 3.1323 | 9.6868 | 90000 | 3.3029 | 0.3941 |
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- | 3.1221 | 9.7944 | 91000 | 3.3005 | 0.3946 |
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- | 3.1206 | 9.9021 | 92000 | 3.2986 | 0.3947 |
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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: 3.2979
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+ - Accuracy: 0.3948
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22
  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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+ | 5.089 | 0.1078 | 1000 | 5.0308 | 0.2263 |
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+ | 4.5844 | 0.2156 | 2000 | 4.5087 | 0.2708 |
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+ | 4.3119 | 0.3235 | 3000 | 4.2346 | 0.2985 |
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+ | 4.1558 | 0.4313 | 4000 | 4.0870 | 0.3128 |
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+ | 4.0746 | 0.5391 | 5000 | 3.9934 | 0.3214 |
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+ | 3.9615 | 0.6469 | 6000 | 3.9154 | 0.3285 |
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+ | 3.9256 | 0.7547 | 7000 | 3.8597 | 0.3336 |
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+ | 3.8653 | 0.8625 | 8000 | 3.8135 | 0.3380 |
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+ | 3.8645 | 0.9704 | 9000 | 3.7764 | 0.3414 |
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+ | 3.7649 | 1.0782 | 10000 | 3.7435 | 0.3453 |
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+ | 3.7373 | 1.1860 | 11000 | 3.7197 | 0.3475 |
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+ | 3.7205 | 1.2938 | 12000 | 3.6961 | 0.3498 |
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+ | 3.713 | 1.4016 | 13000 | 3.6755 | 0.3520 |
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+ | 3.6937 | 1.5094 | 14000 | 3.6499 | 0.3541 |
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+ | 3.6794 | 1.6173 | 15000 | 3.6361 | 0.3556 |
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+ | 3.6505 | 1.7251 | 16000 | 3.6178 | 0.3573 |
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+ | 3.6315 | 1.8329 | 17000 | 3.6016 | 0.3591 |
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+ | 3.6451 | 1.9407 | 18000 | 3.5879 | 0.3604 |
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+ | 3.5613 | 2.0485 | 19000 | 3.5781 | 0.3618 |
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+ | 3.5559 | 2.1563 | 20000 | 3.5715 | 0.3627 |
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+ | 3.5459 | 2.2642 | 21000 | 3.5579 | 0.3641 |
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+ | 3.558 | 2.3720 | 22000 | 3.5478 | 0.3650 |
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+ | 3.5432 | 2.4798 | 23000 | 3.5363 | 0.3660 |
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+ | 3.544 | 2.5876 | 24000 | 3.5297 | 0.3670 |
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+ | 3.5501 | 2.6954 | 25000 | 3.5177 | 0.3683 |
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+ | 3.5331 | 2.8032 | 26000 | 3.5129 | 0.3686 |
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+ | 3.537 | 2.9111 | 27000 | 3.5031 | 0.3696 |
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+ | 3.4249 | 3.0189 | 28000 | 3.5005 | 0.3702 |
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+ | 3.4472 | 3.1267 | 29000 | 3.4916 | 0.3712 |
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+ | 3.4589 | 3.2345 | 30000 | 3.4865 | 0.3716 |
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+ | 3.4424 | 3.3423 | 31000 | 3.4784 | 0.3725 |
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+ | 3.4573 | 3.4501 | 32000 | 3.4738 | 0.3734 |
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+ | 3.4443 | 3.5580 | 33000 | 3.4678 | 0.3740 |
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+ | 3.4583 | 3.6658 | 34000 | 3.4612 | 0.3742 |
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+ | 3.4432 | 3.7736 | 35000 | 3.4552 | 0.3749 |
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+ | 3.4491 | 3.8814 | 36000 | 3.4490 | 0.3757 |
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+ | 3.4366 | 3.9892 | 37000 | 3.4419 | 0.3766 |
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+ | 3.3768 | 4.0970 | 38000 | 3.4447 | 0.3768 |
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+ | 3.3753 | 4.2049 | 39000 | 3.4402 | 0.3771 |
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+ | 3.3921 | 4.3127 | 40000 | 3.4352 | 0.3777 |
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+ | 3.3862 | 4.4205 | 41000 | 3.4300 | 0.3782 |
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+ | 3.3824 | 4.5283 | 42000 | 3.4259 | 0.3789 |
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+ | 3.402 | 4.6361 | 43000 | 3.4207 | 0.3791 |
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+ | 3.3685 | 4.7439 | 44000 | 3.4166 | 0.3795 |
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+ | 3.3925 | 4.8518 | 45000 | 3.4109 | 0.3802 |
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+ | 3.382 | 4.9596 | 46000 | 3.4062 | 0.3808 |
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+ | 3.3063 | 5.0674 | 47000 | 3.4128 | 0.3805 |
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+ | 3.3116 | 5.1752 | 48000 | 3.4057 | 0.3812 |
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+ | 3.3079 | 5.2830 | 49000 | 3.4047 | 0.3815 |
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+ | 3.3348 | 5.3908 | 50000 | 3.3986 | 0.3822 |
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+ | 3.3177 | 5.4987 | 51000 | 3.3948 | 0.3826 |
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+ | 3.341 | 5.6065 | 52000 | 3.3914 | 0.3829 |
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+ | 3.3459 | 5.7143 | 53000 | 3.3869 | 0.3833 |
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+ | 3.327 | 5.8221 | 54000 | 3.3818 | 0.3836 |
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+ | 3.3283 | 5.9299 | 55000 | 3.3785 | 0.3841 |
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+ | 3.2585 | 6.0377 | 56000 | 3.3817 | 0.3844 |
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+ | 3.2477 | 6.1456 | 57000 | 3.3813 | 0.3842 |
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+ | 3.25 | 6.2534 | 58000 | 3.3770 | 0.3847 |
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+ | 3.2836 | 6.3612 | 59000 | 3.3742 | 0.3852 |
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+ | 3.2853 | 6.4690 | 60000 | 3.3687 | 0.3856 |
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+ | 3.2799 | 6.5768 | 61000 | 3.3659 | 0.3860 |
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+ | 3.2708 | 6.6846 | 62000 | 3.3608 | 0.3866 |
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+ | 3.2755 | 6.7925 | 63000 | 3.3581 | 0.3869 |
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+ | 3.2929 | 6.9003 | 64000 | 3.3537 | 0.3874 |
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+ | 3.198 | 7.0081 | 65000 | 3.3563 | 0.3874 |
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+ | 3.2156 | 7.1159 | 66000 | 3.3558 | 0.3876 |
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+ | 3.2188 | 7.2237 | 67000 | 3.3545 | 0.3878 |
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+ | 3.2219 | 7.3315 | 68000 | 3.3511 | 0.3884 |
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+ | 3.2451 | 7.4394 | 69000 | 3.3465 | 0.3883 |
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+ | 3.228 | 7.5472 | 70000 | 3.3436 | 0.3890 |
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+ | 3.2247 | 7.6550 | 71000 | 3.3397 | 0.3892 |
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+ | 3.2368 | 7.7628 | 72000 | 3.3351 | 0.3895 |
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+ | 3.2199 | 7.8706 | 73000 | 3.3322 | 0.3899 |
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+ | 3.2308 | 7.9784 | 74000 | 3.3287 | 0.3904 |
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+ | 3.1566 | 8.0863 | 75000 | 3.3343 | 0.3902 |
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+ | 3.1642 | 8.1941 | 76000 | 3.3332 | 0.3906 |
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+ | 3.1768 | 8.3019 | 77000 | 3.3308 | 0.3905 |
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+ | 3.1672 | 8.4097 | 78000 | 3.3273 | 0.3911 |
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+ | 3.1803 | 8.5175 | 79000 | 3.3224 | 0.3915 |
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+ | 3.1786 | 8.6253 | 80000 | 3.3209 | 0.3920 |
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+ | 3.1919 | 8.7332 | 81000 | 3.3163 | 0.3922 |
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+ | 3.1768 | 8.8410 | 82000 | 3.3133 | 0.3925 |
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+ | 3.1896 | 8.9488 | 83000 | 3.3099 | 0.3930 |
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+ | 3.1202 | 9.0566 | 84000 | 3.3137 | 0.3928 |
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+ | 3.1217 | 9.1644 | 85000 | 3.3130 | 0.3931 |
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+ | 3.131 | 9.2722 | 86000 | 3.3102 | 0.3934 |
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+ | 3.1188 | 9.3801 | 87000 | 3.3091 | 0.3936 |
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+ | 3.1285 | 9.4879 | 88000 | 3.3047 | 0.3940 |
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+ | 3.1434 | 9.5957 | 89000 | 3.3032 | 0.3941 |
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+ | 3.1287 | 9.7035 | 90000 | 3.3009 | 0.3944 |
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+ | 3.1306 | 9.8113 | 91000 | 3.2991 | 0.3946 |
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+ | 3.1045 | 9.9191 | 92000 | 3.2979 | 0.3948 |
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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:b9a42cbcb08cc2433168f2d8e9f90ce0967b3d8cfc01f423ee7c24d497674dff
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:f69306880b5e4afd272f6d88967d7f3146020fc99a80568fe9f14f490dc47ce2
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  size 503128704