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100M_high_10_8397

Text Generation
Transformers
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: 3.3089
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- - Accuracy: 0.3935
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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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- | 5.0805 | 0.1076 | 1000 | 5.0183 | 0.2274 |
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- | 4.5851 | 0.2153 | 2000 | 4.5025 | 0.2721 |
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- | 4.2902 | 0.3229 | 3000 | 4.2249 | 0.2996 |
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- | 4.1649 | 0.4305 | 4000 | 4.0935 | 0.3126 |
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- | 4.0503 | 0.5382 | 5000 | 3.9958 | 0.3213 |
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- | 3.957 | 0.6458 | 6000 | 3.9150 | 0.3287 |
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- | 3.926 | 0.7534 | 7000 | 3.8600 | 0.3335 |
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- | 3.8792 | 0.8610 | 8000 | 3.8123 | 0.3379 |
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- | 3.8393 | 0.9687 | 9000 | 3.7765 | 0.3418 |
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- | 3.7796 | 1.0763 | 10000 | 3.7481 | 0.3450 |
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- | 3.7514 | 1.1839 | 11000 | 3.7191 | 0.3473 |
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- | 3.701 | 1.2916 | 12000 | 3.6953 | 0.3496 |
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- | 3.7202 | 1.3992 | 13000 | 3.6718 | 0.3518 |
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- | 3.6877 | 1.5068 | 14000 | 3.6538 | 0.3538 |
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- | 3.6723 | 1.6145 | 15000 | 3.6359 | 0.3555 |
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- | 3.6806 | 1.7221 | 16000 | 3.6193 | 0.3573 |
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- | 3.6554 | 1.8297 | 17000 | 3.6036 | 0.3587 |
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- | 3.6462 | 1.9374 | 18000 | 3.5907 | 0.3603 |
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- | 3.5624 | 2.0450 | 19000 | 3.5808 | 0.3611 |
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- | 3.5722 | 2.1526 | 20000 | 3.5715 | 0.3629 |
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- | 3.5608 | 2.2603 | 21000 | 3.5603 | 0.3637 |
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- | 3.5486 | 2.3679 | 22000 | 3.5495 | 0.3649 |
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- | 3.5484 | 2.4755 | 23000 | 3.5398 | 0.3657 |
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- | 3.5476 | 2.5831 | 24000 | 3.5285 | 0.3665 |
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- | 3.5566 | 2.6908 | 25000 | 3.5216 | 0.3676 |
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- | 3.5297 | 2.7984 | 26000 | 3.5107 | 0.3690 |
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- | 3.5455 | 2.9060 | 27000 | 3.5029 | 0.3694 |
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- | 3.4261 | 3.0137 | 28000 | 3.4981 | 0.3703 |
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- | 3.4499 | 3.1213 | 29000 | 3.4961 | 0.3710 |
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- | 3.4656 | 3.2289 | 30000 | 3.4914 | 0.3715 |
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- | 3.439 | 3.3366 | 31000 | 3.4823 | 0.3725 |
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- | 3.4641 | 3.4442 | 32000 | 3.4781 | 0.3729 |
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- | 3.4477 | 3.5518 | 33000 | 3.4707 | 0.3737 |
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- | 3.4634 | 3.6595 | 34000 | 3.4636 | 0.3742 |
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- | 3.4601 | 3.7671 | 35000 | 3.4569 | 0.3749 |
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- | 3.4465 | 3.8747 | 36000 | 3.4502 | 0.3758 |
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- | 3.4361 | 3.9823 | 37000 | 3.4443 | 0.3761 |
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- | 3.3675 | 4.0900 | 38000 | 3.4483 | 0.3763 |
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- | 3.3805 | 4.1976 | 39000 | 3.4426 | 0.3771 |
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- | 3.3918 | 4.3052 | 40000 | 3.4401 | 0.3772 |
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- | 3.3932 | 4.4129 | 41000 | 3.4348 | 0.3776 |
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- | 3.3812 | 4.5205 | 42000 | 3.4284 | 0.3784 |
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- | 3.3834 | 4.6281 | 43000 | 3.4244 | 0.3787 |
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- | 3.3815 | 4.7358 | 44000 | 3.4187 | 0.3796 |
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- | 3.388 | 4.8434 | 45000 | 3.4125 | 0.3798 |
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- | 3.3858 | 4.9510 | 46000 | 3.4082 | 0.3805 |
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- | 3.3062 | 5.0587 | 47000 | 3.4122 | 0.3805 |
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- | 3.3199 | 5.1663 | 48000 | 3.4100 | 0.3809 |
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- | 3.3185 | 5.2739 | 49000 | 3.4072 | 0.3813 |
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- | 3.3294 | 5.3816 | 50000 | 3.4018 | 0.3818 |
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- | 3.3338 | 5.4892 | 51000 | 3.3978 | 0.3823 |
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- | 3.3411 | 5.5968 | 52000 | 3.3933 | 0.3829 |
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- | 3.3494 | 5.7044 | 53000 | 3.3886 | 0.3831 |
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- | 3.339 | 5.8121 | 54000 | 3.3853 | 0.3832 |
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- | 3.3234 | 5.9197 | 55000 | 3.3804 | 0.3839 |
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- | 3.2393 | 6.0273 | 56000 | 3.3830 | 0.3842 |
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- | 3.26 | 6.1350 | 57000 | 3.3833 | 0.3841 |
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- | 3.2793 | 6.2426 | 58000 | 3.3789 | 0.3847 |
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- | 3.2727 | 6.3502 | 59000 | 3.3779 | 0.3849 |
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- | 3.2813 | 6.4579 | 60000 | 3.3736 | 0.3851 |
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- | 3.277 | 6.5655 | 61000 | 3.3662 | 0.3861 |
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- | 3.2843 | 6.6731 | 62000 | 3.3661 | 0.3863 |
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- | 3.2807 | 6.7808 | 63000 | 3.3606 | 0.3866 |
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- | 3.2976 | 6.8884 | 64000 | 3.3551 | 0.3871 |
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- | 3.2965 | 6.9960 | 65000 | 3.3497 | 0.3875 |
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- | 3.2195 | 7.1036 | 66000 | 3.3589 | 0.3875 |
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- | 3.2267 | 7.2113 | 67000 | 3.3550 | 0.3875 |
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- | 3.2265 | 7.3189 | 68000 | 3.3524 | 0.3877 |
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- | 3.2234 | 7.4265 | 69000 | 3.3497 | 0.3883 |
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- | 3.2216 | 7.5342 | 70000 | 3.3453 | 0.3888 |
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- | 3.2545 | 7.6418 | 71000 | 3.3408 | 0.3891 |
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- | 3.2305 | 7.7494 | 72000 | 3.3372 | 0.3893 |
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- | 3.2315 | 7.8571 | 73000 | 3.3319 | 0.3900 |
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- | 3.2508 | 7.9647 | 74000 | 3.3302 | 0.3902 |
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- | 3.1804 | 8.0723 | 75000 | 3.3350 | 0.3900 |
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- | 3.1828 | 8.1800 | 76000 | 3.3335 | 0.3904 |
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- | 3.1945 | 8.2876 | 77000 | 3.3318 | 0.3903 |
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- | 3.1736 | 8.3952 | 78000 | 3.3284 | 0.3908 |
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- | 3.1824 | 8.5029 | 79000 | 3.3255 | 0.3914 |
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- | 3.192 | 8.6105 | 80000 | 3.3226 | 0.3917 |
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- | 3.1836 | 8.7181 | 81000 | 3.3197 | 0.3920 |
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- | 3.1852 | 8.8257 | 82000 | 3.3142 | 0.3926 |
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- | 3.1693 | 8.9334 | 83000 | 3.3121 | 0.3927 |
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- | 3.1239 | 9.0410 | 84000 | 3.3149 | 0.3927 |
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- | 3.1428 | 9.1486 | 85000 | 3.3133 | 0.3930 |
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- | 3.1204 | 9.2563 | 86000 | 3.3132 | 0.3931 |
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- | 3.1227 | 9.3639 | 87000 | 3.3099 | 0.3934 |
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- | 3.1189 | 9.4715 | 88000 | 3.3075 | 0.3937 |
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- | 3.1408 | 9.5792 | 89000 | 3.3058 | 0.3939 |
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- | 3.1365 | 9.6868 | 90000 | 3.3024 | 0.3942 |
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- | 3.1175 | 9.7944 | 91000 | 3.3009 | 0.3944 |
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- | 3.1283 | 9.9021 | 92000 | 3.2995 | 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: 3.3014
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+ - Accuracy: 0.3946
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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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+ | 5.0955 | 0.1078 | 1000 | 5.0280 | 0.2272 |
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+ | 4.5946 | 0.2156 | 2000 | 4.5151 | 0.2697 |
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+ | 4.3197 | 0.3235 | 3000 | 4.2565 | 0.2974 |
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+ | 4.1635 | 0.4313 | 4000 | 4.0886 | 0.3129 |
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+ | 4.0497 | 0.5391 | 5000 | 3.9924 | 0.3217 |
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+ | 3.9971 | 0.6469 | 6000 | 3.9200 | 0.3282 |
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+ | 3.9232 | 0.7547 | 7000 | 3.8649 | 0.3332 |
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+ | 3.8562 | 0.8625 | 8000 | 3.8174 | 0.3379 |
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+ | 3.8574 | 0.9704 | 9000 | 3.7807 | 0.3411 |
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+ | 3.7641 | 1.0782 | 10000 | 3.7487 | 0.3449 |
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+ | 3.7724 | 1.1860 | 11000 | 3.7245 | 0.3475 |
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+ | 3.7319 | 1.2938 | 12000 | 3.6984 | 0.3493 |
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+ | 3.7091 | 1.4016 | 13000 | 3.6749 | 0.3518 |
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+ | 3.705 | 1.5094 | 14000 | 3.6573 | 0.3537 |
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+ | 3.6664 | 1.6173 | 15000 | 3.6385 | 0.3559 |
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+ | 3.6674 | 1.7251 | 16000 | 3.6222 | 0.3573 |
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+ | 3.6409 | 1.8329 | 17000 | 3.6059 | 0.3589 |
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+ | 3.634 | 1.9407 | 18000 | 3.5922 | 0.3599 |
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+ | 3.5709 | 2.0485 | 19000 | 3.5830 | 0.3617 |
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+ | 3.5778 | 2.1563 | 20000 | 3.5753 | 0.3621 |
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+ | 3.5653 | 2.2642 | 21000 | 3.5630 | 0.3636 |
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+ | 3.5739 | 2.3720 | 22000 | 3.5520 | 0.3644 |
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+ | 3.5401 | 2.4798 | 23000 | 3.5422 | 0.3656 |
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+ | 3.5334 | 2.5876 | 24000 | 3.5329 | 0.3669 |
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+ | 3.5315 | 2.6954 | 25000 | 3.5242 | 0.3675 |
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+ | 3.5347 | 2.8032 | 26000 | 3.5136 | 0.3686 |
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+ | 3.5473 | 2.9111 | 27000 | 3.5068 | 0.3696 |
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+ | 3.4479 | 3.0189 | 28000 | 3.5027 | 0.3700 |
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+ | 3.431 | 3.1267 | 29000 | 3.4990 | 0.3710 |
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+ | 3.4536 | 3.2345 | 30000 | 3.4915 | 0.3715 |
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+ | 3.4616 | 3.3423 | 31000 | 3.4857 | 0.3721 |
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+ | 3.4606 | 3.4501 | 32000 | 3.4777 | 0.3730 |
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+ | 3.4652 | 3.5580 | 33000 | 3.4738 | 0.3736 |
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+ | 3.4623 | 3.6658 | 34000 | 3.4682 | 0.3734 |
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+ | 3.4641 | 3.7736 | 35000 | 3.4596 | 0.3750 |
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+ | 3.4539 | 3.8814 | 36000 | 3.4526 | 0.3751 |
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+ | 3.4505 | 3.9892 | 37000 | 3.4487 | 0.3759 |
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+ | 3.3674 | 4.0970 | 38000 | 3.4511 | 0.3763 |
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+ | 3.3682 | 4.2049 | 39000 | 3.4453 | 0.3771 |
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+ | 3.3933 | 4.3127 | 40000 | 3.4421 | 0.3774 |
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+ | 3.398 | 4.4205 | 41000 | 3.4362 | 0.3780 |
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+ | 3.3881 | 4.5283 | 42000 | 3.4302 | 0.3785 |
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+ | 3.3991 | 4.6361 | 43000 | 3.4259 | 0.3787 |
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+ | 3.3905 | 4.7439 | 44000 | 3.4214 | 0.3791 |
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+ | 3.4093 | 4.8518 | 45000 | 3.4155 | 0.3800 |
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+ | 3.375 | 4.9596 | 46000 | 3.4121 | 0.3804 |
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+ | 3.3175 | 5.0674 | 47000 | 3.4122 | 0.3807 |
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+ | 3.3158 | 5.1752 | 48000 | 3.4142 | 0.3808 |
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+ | 3.347 | 5.2830 | 49000 | 3.4085 | 0.3814 |
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+ | 3.3449 | 5.3908 | 50000 | 3.4048 | 0.3817 |
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+ | 3.348 | 5.4987 | 51000 | 3.4007 | 0.3819 |
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+ | 3.3235 | 5.6065 | 52000 | 3.3947 | 0.3827 |
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+ | 3.3373 | 5.7143 | 53000 | 3.3897 | 0.3830 |
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+ | 3.3338 | 5.8221 | 54000 | 3.3867 | 0.3835 |
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+ | 3.338 | 5.9299 | 55000 | 3.3835 | 0.3840 |
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+ | 3.2402 | 6.0377 | 56000 | 3.3858 | 0.3839 |
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+ | 3.2617 | 6.1456 | 57000 | 3.3861 | 0.3841 |
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+ | 3.2808 | 6.2534 | 58000 | 3.3813 | 0.3845 |
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+ | 3.2916 | 6.3612 | 59000 | 3.3772 | 0.3850 |
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+ | 3.2921 | 6.4690 | 60000 | 3.3740 | 0.3854 |
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+ | 3.2855 | 6.5768 | 61000 | 3.3693 | 0.3861 |
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+ | 3.3055 | 6.6846 | 62000 | 3.3641 | 0.3863 |
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+ | 3.2828 | 6.7925 | 63000 | 3.3618 | 0.3867 |
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+ | 3.2924 | 6.9003 | 64000 | 3.3590 | 0.3870 |
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+ | 3.1875 | 7.0081 | 65000 | 3.3607 | 0.3870 |
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+ | 3.2305 | 7.1159 | 66000 | 3.3604 | 0.3874 |
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+ | 3.2359 | 7.2237 | 67000 | 3.3588 | 0.3878 |
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+ | 3.2325 | 7.3315 | 68000 | 3.3581 | 0.3878 |
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+ | 3.224 | 7.4394 | 69000 | 3.3504 | 0.3881 |
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+ | 3.2297 | 7.5472 | 70000 | 3.3486 | 0.3885 |
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+ | 3.2561 | 7.6550 | 71000 | 3.3438 | 0.3890 |
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+ | 3.2563 | 7.7628 | 72000 | 3.3400 | 0.3894 |
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+ | 3.2359 | 7.8706 | 73000 | 3.3352 | 0.3896 |
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+ | 3.2561 | 7.9784 | 74000 | 3.3339 | 0.3901 |
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+ | 3.1623 | 8.0863 | 75000 | 3.3379 | 0.3902 |
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+ | 3.1625 | 8.1941 | 76000 | 3.3359 | 0.3903 |
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+ | 3.1819 | 8.3019 | 77000 | 3.3327 | 0.3906 |
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+ | 3.1734 | 8.4097 | 78000 | 3.3309 | 0.3908 |
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+ | 3.1856 | 8.5175 | 79000 | 3.3264 | 0.3911 |
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+ | 3.2022 | 8.6253 | 80000 | 3.3241 | 0.3917 |
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+ | 3.1952 | 8.7332 | 81000 | 3.3204 | 0.3922 |
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+ | 3.189 | 8.8410 | 82000 | 3.3165 | 0.3923 |
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+ | 3.1716 | 8.9488 | 83000 | 3.3132 | 0.3926 |
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+ | 3.1349 | 9.0566 | 84000 | 3.3164 | 0.3926 |
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+ | 3.1255 | 9.1644 | 85000 | 3.3165 | 0.3927 |
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+ | 3.1513 | 9.2722 | 86000 | 3.3141 | 0.3931 |
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+ | 3.1293 | 9.3801 | 87000 | 3.3117 | 0.3933 |
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+ | 3.1376 | 9.4879 | 88000 | 3.3093 | 0.3936 |
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+ | 3.1156 | 9.5957 | 89000 | 3.3070 | 0.3940 |
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+ | 3.1423 | 9.7035 | 90000 | 3.3049 | 0.3942 |
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+ | 3.1344 | 9.8113 | 91000 | 3.3027 | 0.3944 |
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+ | 3.1256 | 9.9191 | 92000 | 3.3014 | 0.3946 |
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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 sha256:9eb5ca44a51224cabbe6f0cc5261fc9526a9f267c6a6eebb4fb8bb7ef76f5d9e
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:df344425d86303635735ce4a507a152ecb4a99c822d0640793e31cb93e9c62e8
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  size 503128704