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100M_low_2000_1208

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: 3.3038
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- - Accuracy: 0.3941
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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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- | 5.0848 | 0.1076 | 1000 | 5.0002 | 0.2300 |
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- | 4.5535 | 0.2153 | 2000 | 4.4883 | 0.2738 |
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- | 4.2964 | 0.3229 | 3000 | 4.2312 | 0.2996 |
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- | 4.1436 | 0.4305 | 4000 | 4.0845 | 0.3133 |
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- | 4.0596 | 0.5382 | 5000 | 3.9857 | 0.3221 |
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- | 3.9952 | 0.6458 | 6000 | 3.9155 | 0.3284 |
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- | 3.9132 | 0.7534 | 7000 | 3.8633 | 0.3337 |
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- | 3.8846 | 0.8610 | 8000 | 3.8155 | 0.3379 |
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- | 3.847 | 0.9687 | 9000 | 3.7781 | 0.3414 |
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- | 3.7679 | 1.0763 | 10000 | 3.7498 | 0.3447 |
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- | 3.7634 | 1.1839 | 11000 | 3.7210 | 0.3471 |
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- | 3.7386 | 1.2916 | 12000 | 3.6971 | 0.3494 |
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- | 3.7179 | 1.3992 | 13000 | 3.6756 | 0.3514 |
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- | 3.7082 | 1.5068 | 14000 | 3.6594 | 0.3535 |
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- | 3.6707 | 1.6145 | 15000 | 3.6382 | 0.3553 |
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- | 3.6869 | 1.7221 | 16000 | 3.6217 | 0.3568 |
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- | 3.6524 | 1.8297 | 17000 | 3.6043 | 0.3586 |
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- | 3.6172 | 1.9374 | 18000 | 3.5936 | 0.3597 |
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- | 3.5598 | 2.0450 | 19000 | 3.5824 | 0.3610 |
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- | 3.5575 | 2.1526 | 20000 | 3.5749 | 0.3625 |
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- | 3.548 | 2.2603 | 21000 | 3.5618 | 0.3634 |
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- | 3.5614 | 2.3679 | 22000 | 3.5516 | 0.3649 |
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- | 3.5702 | 2.4755 | 23000 | 3.5418 | 0.3657 |
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- | 3.5516 | 2.5831 | 24000 | 3.5323 | 0.3664 |
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- | 3.5572 | 2.6908 | 25000 | 3.5218 | 0.3671 |
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- | 3.531 | 2.7984 | 26000 | 3.5130 | 0.3686 |
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- | 3.5259 | 2.9060 | 27000 | 3.5057 | 0.3693 |
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- | 3.4371 | 3.0137 | 28000 | 3.5014 | 0.3696 |
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- | 3.4528 | 3.1213 | 29000 | 3.4983 | 0.3708 |
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- | 3.4644 | 3.2289 | 30000 | 3.4938 | 0.3711 |
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- | 3.4502 | 3.3366 | 31000 | 3.4865 | 0.3724 |
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- | 3.4599 | 3.4442 | 32000 | 3.4802 | 0.3726 |
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- | 3.4536 | 3.5518 | 33000 | 3.4725 | 0.3736 |
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- | 3.4642 | 3.6595 | 34000 | 3.4660 | 0.3740 |
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- | 3.457 | 3.7671 | 35000 | 3.4608 | 0.3744 |
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- | 3.4599 | 3.8747 | 36000 | 3.4529 | 0.3756 |
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- | 3.4213 | 3.9823 | 37000 | 3.4490 | 0.3757 |
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- | 3.3618 | 4.0900 | 38000 | 3.4524 | 0.3764 |
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- | 3.3726 | 4.1976 | 39000 | 3.4454 | 0.3763 |
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- | 3.3813 | 4.3052 | 40000 | 3.4406 | 0.3770 |
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- | 3.3993 | 4.4129 | 41000 | 3.4354 | 0.3776 |
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- | 3.383 | 4.5205 | 42000 | 3.4318 | 0.3779 |
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- | 3.3949 | 4.6281 | 43000 | 3.4268 | 0.3786 |
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- | 3.3861 | 4.7358 | 44000 | 3.4199 | 0.3792 |
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- | 3.3918 | 4.8434 | 45000 | 3.4156 | 0.3796 |
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- | 3.3801 | 4.9510 | 46000 | 3.4109 | 0.3802 |
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- | 3.3112 | 5.0587 | 47000 | 3.4128 | 0.3806 |
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- | 3.3275 | 5.1663 | 48000 | 3.4134 | 0.3806 |
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- | 3.3178 | 5.2739 | 49000 | 3.4088 | 0.3814 |
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- | 3.3393 | 5.3816 | 50000 | 3.4051 | 0.3815 |
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- | 3.3478 | 5.4892 | 51000 | 3.3999 | 0.3823 |
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- | 3.3322 | 5.5968 | 52000 | 3.3961 | 0.3825 |
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- | 3.3226 | 5.7044 | 53000 | 3.3900 | 0.3829 |
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- | 3.3548 | 5.8121 | 54000 | 3.3866 | 0.3833 |
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- | 3.3313 | 5.9197 | 55000 | 3.3828 | 0.3834 |
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- | 3.2523 | 6.0273 | 56000 | 3.3869 | 0.3840 |
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- | 3.2506 | 6.1350 | 57000 | 3.3842 | 0.3845 |
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- | 3.2533 | 6.2426 | 58000 | 3.3831 | 0.3846 |
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- | 3.2694 | 6.3502 | 59000 | 3.3799 | 0.3849 |
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- | 3.2785 | 6.4579 | 60000 | 3.3742 | 0.3855 |
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- | 3.2749 | 6.5655 | 61000 | 3.3712 | 0.3858 |
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- | 3.2902 | 6.6731 | 62000 | 3.3651 | 0.3859 |
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- | 3.2954 | 6.7808 | 63000 | 3.3614 | 0.3864 |
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- | 3.3067 | 6.8884 | 64000 | 3.3562 | 0.3868 |
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- | 3.2807 | 6.9960 | 65000 | 3.3522 | 0.3872 |
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- | 3.2282 | 7.1036 | 66000 | 3.3598 | 0.3872 |
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- | 3.2299 | 7.2113 | 67000 | 3.3576 | 0.3874 |
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- | 3.2308 | 7.3189 | 68000 | 3.3547 | 0.3880 |
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- | 3.2504 | 7.4265 | 69000 | 3.3515 | 0.3880 |
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- | 3.2318 | 7.5342 | 70000 | 3.3472 | 0.3883 |
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- | 3.2312 | 7.6418 | 71000 | 3.3453 | 0.3887 |
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- | 3.2578 | 7.7494 | 72000 | 3.3390 | 0.3893 |
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- | 3.2182 | 7.8571 | 73000 | 3.3360 | 0.3898 |
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- | 3.2269 | 7.9647 | 74000 | 3.3324 | 0.3900 |
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- | 3.1731 | 8.0723 | 75000 | 3.3373 | 0.3899 |
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- | 3.1828 | 8.1800 | 76000 | 3.3368 | 0.3902 |
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- | 3.1782 | 8.2876 | 77000 | 3.3326 | 0.3906 |
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- | 3.174 | 8.3952 | 78000 | 3.3296 | 0.3908 |
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- | 3.1921 | 8.5029 | 79000 | 3.3265 | 0.3911 |
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- | 3.1888 | 8.6105 | 80000 | 3.3229 | 0.3917 |
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- | 3.1596 | 8.7181 | 81000 | 3.3189 | 0.3920 |
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- | 3.1825 | 8.8257 | 82000 | 3.3167 | 0.3923 |
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- | 3.1807 | 8.9334 | 83000 | 3.3123 | 0.3927 |
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- | 3.1336 | 9.0410 | 84000 | 3.3164 | 0.3925 |
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- | 3.1193 | 9.1486 | 85000 | 3.3144 | 0.3929 |
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- | 3.1512 | 9.2563 | 86000 | 3.3132 | 0.3930 |
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- | 3.1331 | 9.3639 | 87000 | 3.3101 | 0.3932 |
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- | 3.1346 | 9.4715 | 88000 | 3.3093 | 0.3935 |
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- | 3.1314 | 9.5792 | 89000 | 3.3061 | 0.3938 |
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- | 3.1566 | 9.6868 | 90000 | 3.3034 | 0.3941 |
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- | 3.13 | 9.7944 | 91000 | 3.3016 | 0.3944 |
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- | 3.1336 | 9.9021 | 92000 | 3.3003 | 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: 3.2986
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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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+ | 5.1155 | 0.1078 | 1000 | 5.0327 | 0.2266 |
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+ | 4.5848 | 0.2156 | 2000 | 4.5090 | 0.2705 |
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+ | 4.2993 | 0.3235 | 3000 | 4.2443 | 0.2977 |
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+ | 4.1642 | 0.4313 | 4000 | 4.0988 | 0.3110 |
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+ | 4.068 | 0.5391 | 5000 | 3.9939 | 0.3215 |
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+ | 3.9931 | 0.6469 | 6000 | 3.9275 | 0.3277 |
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+ | 3.9423 | 0.7547 | 7000 | 3.8671 | 0.3332 |
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+ | 3.8886 | 0.8625 | 8000 | 3.8226 | 0.3374 |
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+ | 3.8486 | 0.9704 | 9000 | 3.7835 | 0.3409 |
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+ | 3.7737 | 1.0782 | 10000 | 3.7543 | 0.3442 |
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+ | 3.7572 | 1.1860 | 11000 | 3.7266 | 0.3465 |
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+ | 3.7436 | 1.2938 | 12000 | 3.7029 | 0.3486 |
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+ | 3.735 | 1.4016 | 13000 | 3.6802 | 0.3508 |
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+ | 3.7017 | 1.5094 | 14000 | 3.6634 | 0.3533 |
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+ | 3.694 | 1.6173 | 15000 | 3.6441 | 0.3546 |
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+ | 3.6827 | 1.7251 | 16000 | 3.6233 | 0.3566 |
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+ | 3.6565 | 1.8329 | 17000 | 3.6102 | 0.3585 |
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+ | 3.6572 | 1.9407 | 18000 | 3.5965 | 0.3598 |
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+ | 3.5527 | 2.0485 | 19000 | 3.5843 | 0.3611 |
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+ | 3.5574 | 2.1563 | 20000 | 3.5725 | 0.3626 |
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+ | 3.5661 | 2.2642 | 21000 | 3.5621 | 0.3634 |
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+ | 3.5515 | 2.3720 | 22000 | 3.5530 | 0.3645 |
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+ | 3.5474 | 2.4798 | 23000 | 3.5436 | 0.3657 |
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+ | 3.5656 | 2.5876 | 24000 | 3.5345 | 0.3665 |
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+ | 3.5369 | 2.6954 | 25000 | 3.5244 | 0.3677 |
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+ | 3.5342 | 2.8032 | 26000 | 3.5150 | 0.3684 |
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+ | 3.5274 | 2.9111 | 27000 | 3.5053 | 0.3694 |
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+ | 3.446 | 3.0189 | 28000 | 3.5007 | 0.3705 |
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+ | 3.4471 | 3.1267 | 29000 | 3.4987 | 0.3710 |
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+ | 3.4466 | 3.2345 | 30000 | 3.4924 | 0.3710 |
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+ | 3.4496 | 3.3423 | 31000 | 3.4845 | 0.3724 |
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+ | 3.4762 | 3.4501 | 32000 | 3.4775 | 0.3731 |
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+ | 3.4477 | 3.5580 | 33000 | 3.4723 | 0.3734 |
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+ | 3.4656 | 3.6658 | 34000 | 3.4636 | 0.3743 |
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+ | 3.45 | 3.7736 | 35000 | 3.4593 | 0.3750 |
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+ | 3.477 | 3.8814 | 36000 | 3.4511 | 0.3757 |
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+ | 3.4426 | 3.9892 | 37000 | 3.4478 | 0.3762 |
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+ | 3.3813 | 4.0970 | 38000 | 3.4496 | 0.3764 |
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+ | 3.3831 | 4.2049 | 39000 | 3.4435 | 0.3771 |
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+ | 3.396 | 4.3127 | 40000 | 3.4381 | 0.3778 |
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+ | 3.3924 | 4.4205 | 41000 | 3.4328 | 0.3783 |
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+ | 3.3794 | 4.5283 | 42000 | 3.4306 | 0.3789 |
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+ | 3.3797 | 4.6361 | 43000 | 3.4256 | 0.3790 |
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+ | 3.3799 | 4.7439 | 44000 | 3.4193 | 0.3800 |
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+ | 3.4025 | 4.8518 | 45000 | 3.4129 | 0.3802 |
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+ | 3.3888 | 4.9596 | 46000 | 3.4101 | 0.3806 |
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+ | 3.2863 | 5.0674 | 47000 | 3.4121 | 0.3807 |
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+ | 3.3295 | 5.1752 | 48000 | 3.4134 | 0.3812 |
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+ | 3.3155 | 5.2830 | 49000 | 3.4079 | 0.3817 |
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+ | 3.3518 | 5.3908 | 50000 | 3.4034 | 0.3821 |
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+ | 3.332 | 5.4987 | 51000 | 3.3973 | 0.3822 |
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+ | 3.3449 | 5.6065 | 52000 | 3.3944 | 0.3829 |
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+ | 3.3442 | 5.7143 | 53000 | 3.3904 | 0.3832 |
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+ | 3.3476 | 5.8221 | 54000 | 3.3844 | 0.3835 |
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+ | 3.311 | 5.9299 | 55000 | 3.3787 | 0.3846 |
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+ | 3.269 | 6.0377 | 56000 | 3.3829 | 0.3843 |
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+ | 3.272 | 6.1456 | 57000 | 3.3836 | 0.3847 |
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+ | 3.2709 | 6.2534 | 58000 | 3.3813 | 0.3848 |
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+ | 3.2786 | 6.3612 | 59000 | 3.3774 | 0.3851 |
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+ | 3.2926 | 6.4690 | 60000 | 3.3710 | 0.3857 |
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+ | 3.2722 | 6.5768 | 61000 | 3.3678 | 0.3863 |
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+ | 3.2842 | 6.6846 | 62000 | 3.3637 | 0.3863 |
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+ | 3.2793 | 6.7925 | 63000 | 3.3596 | 0.3867 |
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+ | 3.2914 | 6.9003 | 64000 | 3.3548 | 0.3874 |
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+ | 3.2127 | 7.0081 | 65000 | 3.3549 | 0.3875 |
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+ | 3.2325 | 7.1159 | 66000 | 3.3590 | 0.3875 |
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+ | 3.2183 | 7.2237 | 67000 | 3.3571 | 0.3876 |
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+ | 3.231 | 7.3315 | 68000 | 3.3517 | 0.3883 |
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+ | 3.2464 | 7.4394 | 69000 | 3.3490 | 0.3886 |
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+ | 3.2351 | 7.5472 | 70000 | 3.3442 | 0.3890 |
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+ | 3.2246 | 7.6550 | 71000 | 3.3405 | 0.3894 |
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+ | 3.2508 | 7.7628 | 72000 | 3.3370 | 0.3898 |
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+ | 3.2516 | 7.8706 | 73000 | 3.3347 | 0.3901 |
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+ | 3.2452 | 7.9784 | 74000 | 3.3295 | 0.3904 |
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+ | 3.1522 | 8.0863 | 75000 | 3.3345 | 0.3905 |
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+ | 3.1776 | 8.1941 | 76000 | 3.3355 | 0.3907 |
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+ | 3.1693 | 8.3019 | 77000 | 3.3312 | 0.3910 |
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+ | 3.165 | 8.4097 | 78000 | 3.3284 | 0.3913 |
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+ | 3.1815 | 8.5175 | 79000 | 3.3257 | 0.3916 |
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+ | 3.1844 | 8.6253 | 80000 | 3.3208 | 0.3919 |
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+ | 3.1896 | 8.7332 | 81000 | 3.3181 | 0.3923 |
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+ | 3.1926 | 8.8410 | 82000 | 3.3147 | 0.3926 |
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+ | 3.1681 | 8.9488 | 83000 | 3.3107 | 0.3932 |
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+ | 3.1334 | 9.0566 | 84000 | 3.3140 | 0.3931 |
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+ | 3.1303 | 9.1644 | 85000 | 3.3140 | 0.3930 |
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+ | 3.1132 | 9.2722 | 86000 | 3.3114 | 0.3935 |
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+ | 3.1198 | 9.3801 | 87000 | 3.3099 | 0.3937 |
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+ | 3.1244 | 9.4879 | 88000 | 3.3060 | 0.3939 |
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+ | 3.1394 | 9.5957 | 89000 | 3.3044 | 0.3942 |
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+ | 3.1304 | 9.7035 | 90000 | 3.3023 | 0.3944 |
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+ | 3.1367 | 9.8113 | 91000 | 3.2998 | 0.3947 |
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+ | 3.1317 | 9.9191 | 92000 | 3.2986 | 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:bf59bdbd6d9d22351d7055ee3b94848c82fc2e1a654b6561e0249113f8cf5329
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:f6304b9e80923b521e6230dd4c8f3a0cb4b54e829c30e8a9ac2909db748e79b7
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  size 503128704