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100M_low_500_634

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: 3.3057
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- - Accuracy: 0.3939
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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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- | 5.0858 | 0.1076 | 1000 | 5.0155 | 0.2278 |
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- | 4.5722 | 0.2153 | 2000 | 4.5142 | 0.2707 |
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- | 4.3199 | 0.3229 | 3000 | 4.2321 | 0.2993 |
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- | 4.1627 | 0.4305 | 4000 | 4.0881 | 0.3128 |
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- | 4.0414 | 0.5382 | 5000 | 3.9916 | 0.3217 |
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- | 4.0012 | 0.6458 | 6000 | 3.9181 | 0.3284 |
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- | 3.9278 | 0.7534 | 7000 | 3.8630 | 0.3330 |
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- | 3.8962 | 0.8610 | 8000 | 3.8176 | 0.3378 |
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- | 3.8312 | 0.9687 | 9000 | 3.7796 | 0.3405 |
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- | 3.7868 | 1.0763 | 10000 | 3.7480 | 0.3444 |
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- | 3.7611 | 1.1839 | 11000 | 3.7224 | 0.3467 |
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- | 3.7129 | 1.2916 | 12000 | 3.7001 | 0.3494 |
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- | 3.7199 | 1.3992 | 13000 | 3.6776 | 0.3514 |
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- | 3.6898 | 1.5068 | 14000 | 3.6565 | 0.3533 |
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- | 3.6861 | 1.6145 | 15000 | 3.6362 | 0.3554 |
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- | 3.6454 | 1.7221 | 16000 | 3.6199 | 0.3573 |
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- | 3.6619 | 1.8297 | 17000 | 3.6078 | 0.3587 |
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- | 3.645 | 1.9374 | 18000 | 3.5907 | 0.3597 |
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- | 3.5353 | 2.0450 | 19000 | 3.5792 | 0.3616 |
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- | 3.5718 | 2.1526 | 20000 | 3.5724 | 0.3625 |
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- | 3.5333 | 2.2603 | 21000 | 3.5607 | 0.3639 |
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- | 3.5584 | 2.3679 | 22000 | 3.5506 | 0.3647 |
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- | 3.5405 | 2.4755 | 23000 | 3.5408 | 0.3660 |
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- | 3.544 | 2.5831 | 24000 | 3.5312 | 0.3667 |
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- | 3.5247 | 2.6908 | 25000 | 3.5225 | 0.3672 |
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- | 3.5232 | 2.7984 | 26000 | 3.5119 | 0.3688 |
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- | 3.5345 | 2.9060 | 27000 | 3.5056 | 0.3695 |
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- | 3.422 | 3.0137 | 28000 | 3.5001 | 0.3701 |
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- | 3.4492 | 3.1213 | 29000 | 3.4967 | 0.3709 |
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- | 3.4356 | 3.2289 | 30000 | 3.4902 | 0.3720 |
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- | 3.4674 | 3.3366 | 31000 | 3.4822 | 0.3721 |
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- | 3.465 | 3.4442 | 32000 | 3.4757 | 0.3734 |
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- | 3.4619 | 3.5518 | 33000 | 3.4705 | 0.3737 |
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- | 3.4499 | 3.6595 | 34000 | 3.4635 | 0.3743 |
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- | 3.4533 | 3.7671 | 35000 | 3.4557 | 0.3750 |
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- | 3.4533 | 3.8747 | 36000 | 3.4499 | 0.3755 |
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- | 3.4527 | 3.9823 | 37000 | 3.4478 | 0.3762 |
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- | 3.3723 | 4.0900 | 38000 | 3.4457 | 0.3766 |
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- | 3.3858 | 4.1976 | 39000 | 3.4412 | 0.3771 |
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- | 3.3796 | 4.3052 | 40000 | 3.4411 | 0.3771 |
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- | 3.3666 | 4.4129 | 41000 | 3.4330 | 0.3777 |
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- | 3.3933 | 4.5205 | 42000 | 3.4288 | 0.3785 |
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- | 3.388 | 4.6281 | 43000 | 3.4236 | 0.3790 |
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- | 3.3868 | 4.7358 | 44000 | 3.4158 | 0.3795 |
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- | 3.3877 | 4.8434 | 45000 | 3.4115 | 0.3802 |
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- | 3.3995 | 4.9510 | 46000 | 3.4072 | 0.3808 |
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- | 3.3128 | 5.0587 | 47000 | 3.4134 | 0.3806 |
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- | 3.3421 | 5.1663 | 48000 | 3.4109 | 0.3808 |
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- | 3.3313 | 5.2739 | 49000 | 3.4051 | 0.3814 |
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- | 3.334 | 5.3816 | 50000 | 3.4009 | 0.3821 |
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- | 3.3365 | 5.4892 | 51000 | 3.3960 | 0.3827 |
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- | 3.3222 | 5.5968 | 52000 | 3.3930 | 0.3826 |
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- | 3.3533 | 5.7044 | 53000 | 3.3890 | 0.3829 |
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- | 3.3362 | 5.8121 | 54000 | 3.3829 | 0.3835 |
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- | 3.3091 | 5.9197 | 55000 | 3.3780 | 0.3842 |
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- | 3.2331 | 6.0273 | 56000 | 3.3844 | 0.3838 |
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- | 3.2561 | 6.1350 | 57000 | 3.3828 | 0.3844 |
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- | 3.2774 | 6.2426 | 58000 | 3.3791 | 0.3847 |
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- | 3.2758 | 6.3502 | 59000 | 3.3770 | 0.3852 |
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- | 3.2704 | 6.4579 | 60000 | 3.3710 | 0.3855 |
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- | 3.2909 | 6.5655 | 61000 | 3.3681 | 0.3860 |
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- | 3.2517 | 6.6731 | 62000 | 3.3634 | 0.3866 |
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- | 3.2907 | 6.7808 | 63000 | 3.3604 | 0.3866 |
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- | 3.2777 | 6.8884 | 64000 | 3.3552 | 0.3872 |
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- | 3.2879 | 6.9960 | 65000 | 3.3511 | 0.3873 |
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- | 3.2072 | 7.1036 | 66000 | 3.3563 | 0.3875 |
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- | 3.2178 | 7.2113 | 67000 | 3.3573 | 0.3876 |
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- | 3.2177 | 7.3189 | 68000 | 3.3530 | 0.3880 |
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- | 3.2299 | 7.4265 | 69000 | 3.3478 | 0.3885 |
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- | 3.2027 | 7.5342 | 70000 | 3.3468 | 0.3889 |
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- | 3.2336 | 7.6418 | 71000 | 3.3423 | 0.3892 |
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- | 3.2134 | 7.7494 | 72000 | 3.3371 | 0.3896 |
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- | 3.23 | 7.8571 | 73000 | 3.3337 | 0.3900 |
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- | 3.245 | 7.9647 | 74000 | 3.3302 | 0.3903 |
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- | 3.1517 | 8.0723 | 75000 | 3.3384 | 0.3900 |
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- | 3.1701 | 8.1800 | 76000 | 3.3362 | 0.3903 |
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- | 3.1486 | 8.2876 | 77000 | 3.3330 | 0.3908 |
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- | 3.1946 | 8.3952 | 78000 | 3.3296 | 0.3911 |
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- | 3.1793 | 8.5029 | 79000 | 3.3243 | 0.3914 |
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- | 3.1722 | 8.6105 | 80000 | 3.3207 | 0.3920 |
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- | 3.177 | 8.7181 | 81000 | 3.3187 | 0.3923 |
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- | 3.1673 | 8.8257 | 82000 | 3.3142 | 0.3926 |
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- | 3.1787 | 8.9334 | 83000 | 3.3105 | 0.3929 |
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- | 3.1438 | 9.0410 | 84000 | 3.3143 | 0.3929 |
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- | 3.1517 | 9.1486 | 85000 | 3.3127 | 0.3931 |
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- | 3.1461 | 9.2563 | 86000 | 3.3114 | 0.3932 |
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- | 3.1319 | 9.3639 | 87000 | 3.3094 | 0.3935 |
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- | 3.1143 | 9.4715 | 88000 | 3.3072 | 0.3939 |
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- | 3.1376 | 9.5792 | 89000 | 3.3042 | 0.3940 |
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- | 3.1218 | 9.6868 | 90000 | 3.3023 | 0.3944 |
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- | 3.1415 | 9.7944 | 91000 | 3.2997 | 0.3946 |
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- | 3.1329 | 9.9021 | 92000 | 3.2988 | 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: 3.2966
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+ - Accuracy: 0.3950
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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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+ | 5.0777 | 0.1078 | 1000 | 5.0278 | 0.2270 |
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+ | 4.5753 | 0.2156 | 2000 | 4.5001 | 0.2720 |
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+ | 4.307 | 0.3235 | 3000 | 4.2326 | 0.2997 |
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+ | 4.1517 | 0.4313 | 4000 | 4.0866 | 0.3129 |
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+ | 4.0715 | 0.5391 | 5000 | 3.9904 | 0.3217 |
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+ | 3.9623 | 0.6469 | 6000 | 3.9174 | 0.3283 |
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+ | 3.929 | 0.7547 | 7000 | 3.8596 | 0.3337 |
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+ | 3.8682 | 0.8625 | 8000 | 3.8165 | 0.3374 |
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+ | 3.8639 | 0.9704 | 9000 | 3.7761 | 0.3413 |
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+ | 3.7666 | 1.0782 | 10000 | 3.7453 | 0.3450 |
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+ | 3.7377 | 1.1860 | 11000 | 3.7222 | 0.3474 |
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+ | 3.7228 | 1.2938 | 12000 | 3.6987 | 0.3493 |
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+ | 3.7162 | 1.4016 | 13000 | 3.6769 | 0.3517 |
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+ | 3.6968 | 1.5094 | 14000 | 3.6529 | 0.3540 |
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+ | 3.6795 | 1.6173 | 15000 | 3.6346 | 0.3558 |
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+ | 3.6517 | 1.7251 | 16000 | 3.6181 | 0.3575 |
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+ | 3.6306 | 1.8329 | 17000 | 3.6030 | 0.3592 |
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+ | 3.6444 | 1.9407 | 18000 | 3.5876 | 0.3606 |
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+ | 3.5579 | 2.0485 | 19000 | 3.5788 | 0.3619 |
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+ | 3.5549 | 2.1563 | 20000 | 3.5695 | 0.3632 |
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+ | 3.544 | 2.2642 | 21000 | 3.5576 | 0.3643 |
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+ | 3.5565 | 2.3720 | 22000 | 3.5466 | 0.3652 |
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+ | 3.5409 | 2.4798 | 23000 | 3.5343 | 0.3664 |
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+ | 3.5406 | 2.5876 | 24000 | 3.5283 | 0.3673 |
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+ | 3.5487 | 2.6954 | 25000 | 3.5169 | 0.3682 |
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+ | 3.5283 | 2.8032 | 26000 | 3.5089 | 0.3690 |
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+ | 3.5334 | 2.9111 | 27000 | 3.5002 | 0.3701 |
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+ | 3.4217 | 3.0189 | 28000 | 3.4946 | 0.3710 |
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+ | 3.4445 | 3.1267 | 29000 | 3.4890 | 0.3717 |
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+ | 3.457 | 3.2345 | 30000 | 3.4843 | 0.3720 |
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+ | 3.4407 | 3.3423 | 31000 | 3.4774 | 0.3730 |
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+ | 3.4559 | 3.4501 | 32000 | 3.4713 | 0.3736 |
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+ | 3.4417 | 3.5580 | 33000 | 3.4665 | 0.3741 |
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+ | 3.4577 | 3.6658 | 34000 | 3.4583 | 0.3747 |
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+ | 3.4395 | 3.7736 | 35000 | 3.4532 | 0.3751 |
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+ | 3.4472 | 3.8814 | 36000 | 3.4452 | 0.3763 |
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+ | 3.4348 | 3.9892 | 37000 | 3.4408 | 0.3767 |
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+ | 3.3743 | 4.0970 | 38000 | 3.4437 | 0.3772 |
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+ | 3.3735 | 4.2049 | 39000 | 3.4395 | 0.3774 |
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+ | 3.3914 | 4.3127 | 40000 | 3.4357 | 0.3778 |
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+ | 3.3847 | 4.4205 | 41000 | 3.4278 | 0.3785 |
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+ | 3.3801 | 4.5283 | 42000 | 3.4242 | 0.3794 |
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+ | 3.3989 | 4.6361 | 43000 | 3.4194 | 0.3797 |
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+ | 3.3662 | 4.7439 | 44000 | 3.4136 | 0.3801 |
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+ | 3.3892 | 4.8518 | 45000 | 3.4105 | 0.3806 |
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+ | 3.3797 | 4.9596 | 46000 | 3.4067 | 0.3813 |
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+ | 3.3026 | 5.0674 | 47000 | 3.4103 | 0.3813 |
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+ | 3.3097 | 5.1752 | 48000 | 3.4049 | 0.3816 |
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+ | 3.3078 | 5.2830 | 49000 | 3.4044 | 0.3816 |
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+ | 3.3335 | 5.3908 | 50000 | 3.3971 | 0.3825 |
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+ | 3.3153 | 5.4987 | 51000 | 3.3939 | 0.3828 |
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+ | 3.3381 | 5.6065 | 52000 | 3.3903 | 0.3832 |
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+ | 3.344 | 5.7143 | 53000 | 3.3860 | 0.3835 |
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+ | 3.3267 | 5.8221 | 54000 | 3.3817 | 0.3838 |
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+ | 3.3267 | 5.9299 | 55000 | 3.3767 | 0.3845 |
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+ | 3.2578 | 6.0377 | 56000 | 3.3812 | 0.3847 |
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+ | 3.2475 | 6.1456 | 57000 | 3.3800 | 0.3846 |
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+ | 3.2484 | 6.2534 | 58000 | 3.3761 | 0.3850 |
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+ | 3.2815 | 6.3612 | 59000 | 3.3729 | 0.3856 |
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+ | 3.2838 | 6.4690 | 60000 | 3.3674 | 0.3859 |
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+ | 3.2781 | 6.5768 | 61000 | 3.3654 | 0.3863 |
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+ | 3.2689 | 6.6846 | 62000 | 3.3588 | 0.3870 |
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+ | 3.2743 | 6.7925 | 63000 | 3.3568 | 0.3871 |
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+ | 3.291 | 6.9003 | 64000 | 3.3531 | 0.3877 |
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+ | 3.1938 | 7.0081 | 65000 | 3.3556 | 0.3879 |
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+ | 3.2137 | 7.1159 | 66000 | 3.3550 | 0.3878 |
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+ | 3.2148 | 7.2237 | 67000 | 3.3542 | 0.3882 |
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+ | 3.2209 | 7.3315 | 68000 | 3.3498 | 0.3887 |
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+ | 3.2428 | 7.4394 | 69000 | 3.3452 | 0.3889 |
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+ | 3.2256 | 7.5472 | 70000 | 3.3439 | 0.3891 |
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+ | 3.2241 | 7.6550 | 71000 | 3.3388 | 0.3895 |
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+ | 3.2351 | 7.7628 | 72000 | 3.3324 | 0.3899 |
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+ | 3.2178 | 7.8706 | 73000 | 3.3316 | 0.3903 |
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+ | 3.2292 | 7.9784 | 74000 | 3.3281 | 0.3909 |
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+ | 3.1559 | 8.0863 | 75000 | 3.3351 | 0.3905 |
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+ | 3.1633 | 8.1941 | 76000 | 3.3332 | 0.3907 |
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+ | 3.1749 | 8.3019 | 77000 | 3.3299 | 0.3907 |
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+ | 3.1657 | 8.4097 | 78000 | 3.3248 | 0.3915 |
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+ | 3.1794 | 8.5175 | 79000 | 3.3212 | 0.3918 |
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+ | 3.1789 | 8.6253 | 80000 | 3.3190 | 0.3923 |
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+ | 3.1906 | 8.7332 | 81000 | 3.3151 | 0.3924 |
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+ | 3.175 | 8.8410 | 82000 | 3.3118 | 0.3929 |
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+ | 3.1894 | 8.9488 | 83000 | 3.3092 | 0.3932 |
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+ | 3.1165 | 9.0566 | 84000 | 3.3132 | 0.3930 |
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+ | 3.1196 | 9.1644 | 85000 | 3.3109 | 0.3933 |
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+ | 3.128 | 9.2722 | 86000 | 3.3091 | 0.3936 |
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+ | 3.117 | 9.3801 | 87000 | 3.3076 | 0.3939 |
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+ | 3.1268 | 9.4879 | 88000 | 3.3033 | 0.3943 |
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+ | 3.1421 | 9.5957 | 89000 | 3.3017 | 0.3944 |
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+ | 3.1272 | 9.7035 | 90000 | 3.2998 | 0.3947 |
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+ | 3.129 | 9.8113 | 91000 | 3.2978 | 0.3949 |
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+ | 3.103 | 9.9191 | 92000 | 3.2966 | 0.3950 |
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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:d012cd500b8ecdadca3b145ab70c6f22b1de006c948d60d97c5a2c727caddf94
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:1b22a2307c37f2cd31ce7e5f7fb25d26745c596cb98089505927c7c90d9f3c0a
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  size 503128704