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100M_high_2000_6910

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: 3.3018
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- - Accuracy: 0.3945
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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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- | 5.1198 | 0.1076 | 1000 | 5.0167 | 0.2277 |
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- | 4.5885 | 0.2153 | 2000 | 4.5172 | 0.2699 |
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- | 4.3239 | 0.3229 | 3000 | 4.2347 | 0.2979 |
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- | 4.1572 | 0.4305 | 4000 | 4.0930 | 0.3121 |
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- | 4.0457 | 0.5382 | 5000 | 3.9927 | 0.3211 |
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- | 3.9818 | 0.6458 | 6000 | 3.9179 | 0.3277 |
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- | 3.9485 | 0.7534 | 7000 | 3.8628 | 0.3335 |
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- | 3.9 | 0.8610 | 8000 | 3.8154 | 0.3377 |
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- | 3.8485 | 0.9687 | 9000 | 3.7786 | 0.3410 |
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- | 3.7602 | 1.0763 | 10000 | 3.7514 | 0.3438 |
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- | 3.7453 | 1.1839 | 11000 | 3.7227 | 0.3470 |
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- | 3.735 | 1.2916 | 12000 | 3.6985 | 0.3493 |
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- | 3.6957 | 1.3992 | 13000 | 3.6748 | 0.3516 |
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- | 3.7009 | 1.5068 | 14000 | 3.6560 | 0.3541 |
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- | 3.6716 | 1.6145 | 15000 | 3.6380 | 0.3550 |
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- | 3.6712 | 1.7221 | 16000 | 3.6185 | 0.3571 |
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- | 3.6428 | 1.8297 | 17000 | 3.6033 | 0.3587 |
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- | 3.6334 | 1.9374 | 18000 | 3.5884 | 0.3603 |
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- | 3.5421 | 2.0450 | 19000 | 3.5786 | 0.3617 |
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- | 3.5783 | 2.1526 | 20000 | 3.5692 | 0.3626 |
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- | 3.5742 | 2.2603 | 21000 | 3.5577 | 0.3638 |
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- | 3.5623 | 2.3679 | 22000 | 3.5465 | 0.3652 |
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- | 3.5432 | 2.4755 | 23000 | 3.5363 | 0.3660 |
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- | 3.535 | 2.5831 | 24000 | 3.5288 | 0.3671 |
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- | 3.5387 | 2.6908 | 25000 | 3.5195 | 0.3678 |
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- | 3.5256 | 2.7984 | 26000 | 3.5085 | 0.3689 |
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- | 3.5445 | 2.9060 | 27000 | 3.5021 | 0.3697 |
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- | 3.4107 | 3.0137 | 28000 | 3.4985 | 0.3706 |
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- | 3.4583 | 3.1213 | 29000 | 3.4947 | 0.3707 |
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- | 3.454 | 3.2289 | 30000 | 3.4862 | 0.3722 |
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- | 3.4484 | 3.3366 | 31000 | 3.4805 | 0.3726 |
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- | 3.4554 | 3.4442 | 32000 | 3.4737 | 0.3735 |
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- | 3.454 | 3.5518 | 33000 | 3.4689 | 0.3741 |
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- | 3.456 | 3.6595 | 34000 | 3.4615 | 0.3745 |
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- | 3.4535 | 3.7671 | 35000 | 3.4552 | 0.3756 |
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- | 3.433 | 3.8747 | 36000 | 3.4477 | 0.3761 |
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- | 3.4352 | 3.9823 | 37000 | 3.4434 | 0.3769 |
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- | 3.3738 | 4.0900 | 38000 | 3.4443 | 0.3767 |
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- | 3.3747 | 4.1976 | 39000 | 3.4434 | 0.3771 |
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- | 3.38 | 4.3052 | 40000 | 3.4386 | 0.3775 |
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- | 3.3825 | 4.4129 | 41000 | 3.4332 | 0.3780 |
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- | 3.3831 | 4.5205 | 42000 | 3.4280 | 0.3784 |
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- | 3.3838 | 4.6281 | 43000 | 3.4227 | 0.3792 |
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- | 3.4042 | 4.7358 | 44000 | 3.4167 | 0.3797 |
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- | 3.4036 | 4.8434 | 45000 | 3.4122 | 0.3800 |
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- | 3.3922 | 4.9510 | 46000 | 3.4082 | 0.3806 |
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- | 3.2894 | 5.0587 | 47000 | 3.4129 | 0.3808 |
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- | 3.3025 | 5.1663 | 48000 | 3.4083 | 0.3814 |
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- | 3.3297 | 5.2739 | 49000 | 3.4069 | 0.3816 |
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- | 3.3347 | 5.3816 | 50000 | 3.4006 | 0.3819 |
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- | 3.3325 | 5.4892 | 51000 | 3.3975 | 0.3822 |
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- | 3.3352 | 5.5968 | 52000 | 3.3901 | 0.3832 |
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- | 3.3379 | 5.7044 | 53000 | 3.3893 | 0.3832 |
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- | 3.3314 | 5.8121 | 54000 | 3.3817 | 0.3837 |
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- | 3.331 | 5.9197 | 55000 | 3.3781 | 0.3844 |
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- | 3.2461 | 6.0273 | 56000 | 3.3840 | 0.3841 |
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- | 3.2544 | 6.1350 | 57000 | 3.3819 | 0.3844 |
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- | 3.2673 | 6.2426 | 58000 | 3.3769 | 0.3846 |
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- | 3.2566 | 6.3502 | 59000 | 3.3747 | 0.3853 |
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- | 3.2666 | 6.4579 | 60000 | 3.3705 | 0.3857 |
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- | 3.2843 | 6.5655 | 61000 | 3.3669 | 0.3862 |
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- | 3.2763 | 6.6731 | 62000 | 3.3633 | 0.3866 |
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- | 3.2883 | 6.7808 | 63000 | 3.3583 | 0.3868 |
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- | 3.2877 | 6.8884 | 64000 | 3.3533 | 0.3874 |
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- | 3.2976 | 6.9960 | 65000 | 3.3519 | 0.3878 |
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- | 3.2249 | 7.1036 | 66000 | 3.3583 | 0.3874 |
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- | 3.2144 | 7.2113 | 67000 | 3.3560 | 0.3879 |
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- | 3.2323 | 7.3189 | 68000 | 3.3511 | 0.3883 |
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- | 3.2143 | 7.4265 | 69000 | 3.3511 | 0.3883 |
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- | 3.245 | 7.5342 | 70000 | 3.3451 | 0.3888 |
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- | 3.2242 | 7.6418 | 71000 | 3.3396 | 0.3895 |
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- | 3.232 | 7.7494 | 72000 | 3.3377 | 0.3896 |
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- | 3.2415 | 7.8571 | 73000 | 3.3342 | 0.3900 |
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- | 3.2203 | 7.9647 | 74000 | 3.3286 | 0.3904 |
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- | 3.156 | 8.0723 | 75000 | 3.3354 | 0.3902 |
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- | 3.1603 | 8.1800 | 76000 | 3.3339 | 0.3905 |
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- | 3.1911 | 8.2876 | 77000 | 3.3316 | 0.3908 |
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- | 3.1844 | 8.3952 | 78000 | 3.3269 | 0.3912 |
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- | 3.1873 | 8.5029 | 79000 | 3.3241 | 0.3916 |
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- | 3.1793 | 8.6105 | 80000 | 3.3210 | 0.3919 |
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- | 3.1808 | 8.7181 | 81000 | 3.3183 | 0.3923 |
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- | 3.184 | 8.8257 | 82000 | 3.3136 | 0.3926 |
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- | 3.1707 | 8.9334 | 83000 | 3.3116 | 0.3929 |
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- | 3.1079 | 9.0410 | 84000 | 3.3150 | 0.3929 |
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- | 3.1234 | 9.1486 | 85000 | 3.3132 | 0.3931 |
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- | 3.1071 | 9.2563 | 86000 | 3.3105 | 0.3933 |
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- | 3.1274 | 9.3639 | 87000 | 3.3097 | 0.3937 |
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- | 3.1093 | 9.4715 | 88000 | 3.3068 | 0.3939 |
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- | 3.113 | 9.5792 | 89000 | 3.3056 | 0.3941 |
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- | 3.1358 | 9.6868 | 90000 | 3.3018 | 0.3945 |
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- | 3.1167 | 9.7944 | 91000 | 3.3002 | 0.3946 |
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- | 3.111 | 9.9021 | 92000 | 3.2991 | 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: 3.3024
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+ - Accuracy: 0.3943
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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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+ | 5.1158 | 0.1078 | 1000 | 5.0268 | 0.2271 |
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+ | 4.5969 | 0.2156 | 2000 | 4.5213 | 0.2685 |
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+ | 4.3226 | 0.3235 | 3000 | 4.2434 | 0.2975 |
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+ | 4.1633 | 0.4313 | 4000 | 4.0995 | 0.3112 |
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+ | 4.067 | 0.5391 | 5000 | 3.9977 | 0.3205 |
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+ | 4.0094 | 0.6469 | 6000 | 3.9245 | 0.3273 |
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+ | 3.9333 | 0.7547 | 7000 | 3.8702 | 0.3322 |
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+ | 3.8908 | 0.8625 | 8000 | 3.8236 | 0.3367 |
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+ | 3.8468 | 0.9704 | 9000 | 3.7843 | 0.3404 |
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+ | 3.7834 | 1.0782 | 10000 | 3.7605 | 0.3438 |
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+ | 3.7453 | 1.1860 | 11000 | 3.7308 | 0.3465 |
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+ | 3.7415 | 1.2938 | 12000 | 3.7053 | 0.3489 |
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+ | 3.7168 | 1.4016 | 13000 | 3.6832 | 0.3508 |
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+ | 3.7043 | 1.5094 | 14000 | 3.6631 | 0.3529 |
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+ | 3.6862 | 1.6173 | 15000 | 3.6426 | 0.3549 |
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+ | 3.6844 | 1.7251 | 16000 | 3.6235 | 0.3565 |
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+ | 3.6681 | 1.8329 | 17000 | 3.6109 | 0.3579 |
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+ | 3.6492 | 1.9407 | 18000 | 3.5945 | 0.3597 |
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+ | 3.5662 | 2.0485 | 19000 | 3.5833 | 0.3613 |
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+ | 3.5644 | 2.1563 | 20000 | 3.5763 | 0.3624 |
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+ | 3.5641 | 2.2642 | 21000 | 3.5669 | 0.3629 |
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+ | 3.5501 | 2.3720 | 22000 | 3.5552 | 0.3642 |
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+ | 3.5599 | 2.4798 | 23000 | 3.5451 | 0.3648 |
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+ | 3.5464 | 2.5876 | 24000 | 3.5349 | 0.3662 |
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+ | 3.5333 | 2.6954 | 25000 | 3.5272 | 0.3671 |
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+ | 3.5455 | 2.8032 | 26000 | 3.5187 | 0.3681 |
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+ | 3.528 | 2.9111 | 27000 | 3.5090 | 0.3690 |
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+ | 3.4525 | 3.0189 | 28000 | 3.5079 | 0.3698 |
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+ | 3.4475 | 3.1267 | 29000 | 3.5003 | 0.3702 |
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+ | 3.4748 | 3.2345 | 30000 | 3.4942 | 0.3713 |
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+ | 3.483 | 3.3423 | 31000 | 3.4869 | 0.3721 |
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+ | 3.4706 | 3.4501 | 32000 | 3.4801 | 0.3725 |
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+ | 3.4611 | 3.5580 | 33000 | 3.4747 | 0.3730 |
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+ | 3.4598 | 3.6658 | 34000 | 3.4697 | 0.3739 |
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+ | 3.4771 | 3.7736 | 35000 | 3.4636 | 0.3743 |
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+ | 3.4431 | 3.8814 | 36000 | 3.4571 | 0.3751 |
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+ | 3.4243 | 3.9892 | 37000 | 3.4497 | 0.3754 |
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+ | 3.3692 | 4.0970 | 38000 | 3.4523 | 0.3760 |
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+ | 3.3918 | 4.2049 | 39000 | 3.4502 | 0.3765 |
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+ | 3.4091 | 4.3127 | 40000 | 3.4436 | 0.3767 |
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+ | 3.422 | 4.4205 | 41000 | 3.4394 | 0.3775 |
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+ | 3.393 | 4.5283 | 42000 | 3.4345 | 0.3781 |
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+ | 3.4159 | 4.6361 | 43000 | 3.4303 | 0.3784 |
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+ | 3.3994 | 4.7439 | 44000 | 3.4247 | 0.3792 |
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+ | 3.3961 | 4.8518 | 45000 | 3.4176 | 0.3798 |
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+ | 3.3946 | 4.9596 | 46000 | 3.4152 | 0.3801 |
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+ | 3.322 | 5.0674 | 47000 | 3.4158 | 0.3804 |
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+ | 3.3155 | 5.1752 | 48000 | 3.4169 | 0.3806 |
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+ | 3.3362 | 5.2830 | 49000 | 3.4121 | 0.3810 |
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+ | 3.3482 | 5.3908 | 50000 | 3.4049 | 0.3815 |
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+ | 3.324 | 5.4987 | 51000 | 3.4039 | 0.3815 |
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+ | 3.3359 | 5.6065 | 52000 | 3.3993 | 0.3820 |
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+ | 3.3481 | 5.7143 | 53000 | 3.3939 | 0.3827 |
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+ | 3.3315 | 5.8221 | 54000 | 3.3893 | 0.3833 |
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+ | 3.3364 | 5.9299 | 55000 | 3.3845 | 0.3838 |
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+ | 3.247 | 6.0377 | 56000 | 3.3879 | 0.3835 |
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+ | 3.2761 | 6.1456 | 57000 | 3.3888 | 0.3837 |
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+ | 3.2835 | 6.2534 | 58000 | 3.3838 | 0.3842 |
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+ | 3.2999 | 6.3612 | 59000 | 3.3810 | 0.3845 |
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+ | 3.2914 | 6.4690 | 60000 | 3.3773 | 0.3848 |
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+ | 3.2842 | 6.5768 | 61000 | 3.3741 | 0.3854 |
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+ | 3.2877 | 6.6846 | 62000 | 3.3696 | 0.3857 |
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+ | 3.2948 | 6.7925 | 63000 | 3.3657 | 0.3862 |
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+ | 3.3097 | 6.9003 | 64000 | 3.3599 | 0.3866 |
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+ | 3.2187 | 7.0081 | 65000 | 3.3643 | 0.3866 |
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+ | 3.23 | 7.1159 | 66000 | 3.3631 | 0.3874 |
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+ | 3.2382 | 7.2237 | 67000 | 3.3612 | 0.3873 |
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+ | 3.2217 | 7.3315 | 68000 | 3.3564 | 0.3878 |
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+ | 3.2568 | 7.4394 | 69000 | 3.3538 | 0.3879 |
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+ | 3.2423 | 7.5472 | 70000 | 3.3503 | 0.3883 |
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+ | 3.2428 | 7.6550 | 71000 | 3.3445 | 0.3888 |
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+ | 3.2389 | 7.7628 | 72000 | 3.3423 | 0.3893 |
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+ | 3.2367 | 7.8706 | 73000 | 3.3380 | 0.3894 |
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+ | 3.252 | 7.9784 | 74000 | 3.3350 | 0.3899 |
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+ | 3.1652 | 8.0863 | 75000 | 3.3407 | 0.3896 |
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+ | 3.1925 | 8.1941 | 76000 | 3.3392 | 0.3898 |
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+ | 3.1827 | 8.3019 | 77000 | 3.3346 | 0.3902 |
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+ | 3.2004 | 8.4097 | 78000 | 3.3322 | 0.3907 |
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+ | 3.1857 | 8.5175 | 79000 | 3.3292 | 0.3909 |
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+ | 3.1825 | 8.6253 | 80000 | 3.3254 | 0.3915 |
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+ | 3.1963 | 8.7332 | 81000 | 3.3209 | 0.3919 |
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+ | 3.1999 | 8.8410 | 82000 | 3.3183 | 0.3922 |
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+ | 3.1784 | 8.9488 | 83000 | 3.3152 | 0.3923 |
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+ | 3.1145 | 9.0566 | 84000 | 3.3193 | 0.3922 |
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+ | 3.1522 | 9.1644 | 85000 | 3.3165 | 0.3926 |
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+ | 3.1391 | 9.2722 | 86000 | 3.3155 | 0.3929 |
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+ | 3.1263 | 9.3801 | 87000 | 3.3133 | 0.3931 |
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+ | 3.1443 | 9.4879 | 88000 | 3.3096 | 0.3935 |
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+ | 3.136 | 9.5957 | 89000 | 3.3084 | 0.3937 |
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+ | 3.1416 | 9.7035 | 90000 | 3.3057 | 0.3940 |
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+ | 3.1381 | 9.8113 | 91000 | 3.3039 | 0.3941 |
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+ | 3.1484 | 9.9191 | 92000 | 3.3024 | 0.3943 |
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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 sha256:7b2fc1133e99ebc47180d3bec392709dc18c6d6d50303041e4f3d5e54915ebe6
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:f6ec022236e0c9ef7e09dbafdbe4924d7d302ad08b13ad35e80805bab9d22998
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  size 503128704