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craa
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100M_high_100_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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- | 5.0744 | 0.1076 | 1000 | 4.9982 | 0.2293 |
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- | 4.5561 | 0.2153 | 2000 | 4.4946 | 0.2722 |
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- | 4.3234 | 0.3229 | 3000 | 4.2329 | 0.2990 |
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- | 4.1511 | 0.4305 | 4000 | 4.0831 | 0.3130 |
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- | 4.0601 | 0.5382 | 5000 | 3.9849 | 0.3228 |
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- | 3.9803 | 0.6458 | 6000 | 3.9099 | 0.3290 |
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- | 3.9214 | 0.7534 | 7000 | 3.8520 | 0.3342 |
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- | 3.8781 | 0.8610 | 8000 | 3.8085 | 0.3384 |
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- | 3.8317 | 0.9687 | 9000 | 3.7717 | 0.3418 |
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- | 3.765 | 1.0763 | 10000 | 3.7404 | 0.3453 |
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- | 3.7212 | 1.1839 | 11000 | 3.7189 | 0.3478 |
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- | 3.7228 | 1.2916 | 12000 | 3.6966 | 0.3497 |
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- | 3.7021 | 1.3992 | 13000 | 3.6727 | 0.3519 |
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- | 3.6887 | 1.5068 | 14000 | 3.6512 | 0.3541 |
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- | 3.6817 | 1.6145 | 15000 | 3.6317 | 0.3560 |
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- | 3.6788 | 1.7221 | 16000 | 3.6146 | 0.3577 |
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- | 3.651 | 1.8297 | 17000 | 3.5990 | 0.3592 |
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- | 3.631 | 1.9374 | 18000 | 3.5868 | 0.3606 |
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- | 3.5611 | 2.0450 | 19000 | 3.5766 | 0.3617 |
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- | 3.5688 | 2.1526 | 20000 | 3.5677 | 0.3632 |
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- | 3.5606 | 2.2603 | 21000 | 3.5592 | 0.3643 |
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- | 3.5513 | 2.3679 | 22000 | 3.5474 | 0.3652 |
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- | 3.5652 | 2.4755 | 23000 | 3.5371 | 0.3665 |
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- | 3.537 | 2.5831 | 24000 | 3.5252 | 0.3673 |
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- | 3.5369 | 2.6908 | 25000 | 3.5187 | 0.3679 |
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- | 3.5182 | 2.7984 | 26000 | 3.5083 | 0.3692 |
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- | 3.5331 | 2.9060 | 27000 | 3.5016 | 0.3698 |
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- | 3.4241 | 3.0137 | 28000 | 3.4969 | 0.3709 |
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- | 3.4403 | 3.1213 | 29000 | 3.4944 | 0.3712 |
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- | 3.4606 | 3.2289 | 30000 | 3.4860 | 0.3719 |
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- | 3.4446 | 3.3366 | 31000 | 3.4797 | 0.3728 |
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- | 3.4477 | 3.4442 | 32000 | 3.4709 | 0.3734 |
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- | 3.4627 | 3.5518 | 33000 | 3.4689 | 0.3739 |
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- | 3.4556 | 3.6595 | 34000 | 3.4580 | 0.3747 |
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- | 3.4589 | 3.7671 | 35000 | 3.4539 | 0.3754 |
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- | 3.4463 | 3.8747 | 36000 | 3.4495 | 0.3759 |
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- | 3.46 | 3.9823 | 37000 | 3.4408 | 0.3767 |
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- | 3.3706 | 4.0900 | 38000 | 3.4456 | 0.3770 |
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- | 3.3851 | 4.1976 | 39000 | 3.4421 | 0.3773 |
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- | 3.389 | 4.3052 | 40000 | 3.4362 | 0.3780 |
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- | 3.3847 | 4.4129 | 41000 | 3.4304 | 0.3781 |
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- | 3.3978 | 4.5205 | 42000 | 3.4264 | 0.3786 |
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- | 3.3923 | 4.6281 | 43000 | 3.4208 | 0.3796 |
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- | 3.356 | 4.7358 | 44000 | 3.4156 | 0.3800 |
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- | 3.3828 | 4.8434 | 45000 | 3.4099 | 0.3801 |
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- | 3.3714 | 4.9510 | 46000 | 3.4067 | 0.3807 |
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- | 3.3199 | 5.0587 | 47000 | 3.4076 | 0.3811 |
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- | 3.2988 | 5.1663 | 48000 | 3.4083 | 0.3816 |
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- | 3.2996 | 5.2739 | 49000 | 3.4022 | 0.3818 |
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- | 3.3154 | 5.3816 | 50000 | 3.4000 | 0.3821 |
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- | 3.3234 | 5.4892 | 51000 | 3.3968 | 0.3826 |
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- | 3.3193 | 5.5968 | 52000 | 3.3914 | 0.3828 |
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- | 3.3331 | 5.7044 | 53000 | 3.3854 | 0.3837 |
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- | 3.3373 | 5.8121 | 54000 | 3.3849 | 0.3840 |
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- | 3.3203 | 5.9197 | 55000 | 3.3781 | 0.3843 |
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- | 3.224 | 6.0273 | 56000 | 3.3819 | 0.3843 |
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- | 3.2689 | 6.1350 | 57000 | 3.3816 | 0.3846 |
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- | 3.2642 | 6.2426 | 58000 | 3.3805 | 0.3849 |
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- | 3.2838 | 6.3502 | 59000 | 3.3763 | 0.3851 |
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- | 3.291 | 6.4579 | 60000 | 3.3705 | 0.3856 |
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- | 3.288 | 6.5655 | 61000 | 3.3660 | 0.3863 |
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- | 3.2746 | 6.6731 | 62000 | 3.3635 | 0.3864 |
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- | 3.2856 | 6.7808 | 63000 | 3.3592 | 0.3868 |
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- | 3.2903 | 6.8884 | 64000 | 3.3531 | 0.3876 |
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- | 3.2743 | 6.9960 | 65000 | 3.3495 | 0.3880 |
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- | 3.1991 | 7.1036 | 66000 | 3.3583 | 0.3875 |
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- | 3.244 | 7.2113 | 67000 | 3.3565 | 0.3878 |
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- | 3.2239 | 7.3189 | 68000 | 3.3512 | 0.3882 |
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- | 3.209 | 7.4265 | 69000 | 3.3493 | 0.3885 |
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- | 3.2444 | 7.5342 | 70000 | 3.3440 | 0.3891 |
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- | 3.228 | 7.6418 | 71000 | 3.3414 | 0.3892 |
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- | 3.2344 | 7.7494 | 72000 | 3.3369 | 0.3896 |
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- | 3.2146 | 7.8571 | 73000 | 3.3349 | 0.3898 |
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- | 3.2275 | 7.9647 | 74000 | 3.3285 | 0.3904 |
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- | 3.16 | 8.0723 | 75000 | 3.3362 | 0.3902 |
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- | 3.1732 | 8.1800 | 76000 | 3.3342 | 0.3904 |
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- | 3.1717 | 8.2876 | 77000 | 3.3314 | 0.3909 |
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- | 3.1781 | 8.3952 | 78000 | 3.3291 | 0.3909 |
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- | 3.1817 | 8.5029 | 79000 | 3.3242 | 0.3916 |
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- | 3.198 | 8.6105 | 80000 | 3.3232 | 0.3918 |
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- | 3.1884 | 8.7181 | 81000 | 3.3174 | 0.3922 |
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- | 3.1824 | 8.8257 | 82000 | 3.3135 | 0.3926 |
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- | 3.1858 | 8.9334 | 83000 | 3.3112 | 0.3930 |
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- | 3.1291 | 9.0410 | 84000 | 3.3142 | 0.3928 |
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- | 3.1234 | 9.1486 | 85000 | 3.3130 | 0.3930 |
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- | 3.1406 | 9.2563 | 86000 | 3.3109 | 0.3933 |
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- | 3.1428 | 9.3639 | 87000 | 3.3088 | 0.3935 |
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- | 3.125 | 9.4715 | 88000 | 3.3075 | 0.3937 |
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- | 3.1407 | 9.5792 | 89000 | 3.3042 | 0.3941 |
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- | 3.1229 | 9.6868 | 90000 | 3.3019 | 0.3944 |
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- | 3.118 | 9.7944 | 91000 | 3.3006 | 0.3946 |
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- | 3.1298 | 9.9021 | 92000 | 3.2989 | 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: 3.3021
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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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+ | 5.1096 | 0.1078 | 1000 | 5.0382 | 0.2259 |
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+ | 4.604 | 0.2156 | 2000 | 4.5276 | 0.2681 |
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+ | 4.3278 | 0.3235 | 3000 | 4.2632 | 0.2963 |
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+ | 4.176 | 0.4313 | 4000 | 4.0975 | 0.3116 |
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+ | 4.0578 | 0.5391 | 5000 | 4.0000 | 0.3204 |
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+ | 4.0039 | 0.6469 | 6000 | 3.9278 | 0.3272 |
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+ | 3.9328 | 0.7547 | 7000 | 3.8739 | 0.3324 |
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+ | 3.8634 | 0.8625 | 8000 | 3.8252 | 0.3366 |
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+ | 3.8628 | 0.9704 | 9000 | 3.7860 | 0.3403 |
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+ | 3.7724 | 1.0782 | 10000 | 3.7548 | 0.3437 |
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+ | 3.7772 | 1.1860 | 11000 | 3.7294 | 0.3464 |
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+ | 3.7384 | 1.2938 | 12000 | 3.7043 | 0.3485 |
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+ | 3.7141 | 1.4016 | 13000 | 3.6802 | 0.3509 |
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+ | 3.7107 | 1.5094 | 14000 | 3.6626 | 0.3528 |
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+ | 3.674 | 1.6173 | 15000 | 3.6438 | 0.3550 |
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+ | 3.672 | 1.7251 | 16000 | 3.6253 | 0.3566 |
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+ | 3.6464 | 1.8329 | 17000 | 3.6097 | 0.3581 |
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+ | 3.6394 | 1.9407 | 18000 | 3.5965 | 0.3591 |
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+ | 3.5754 | 2.0485 | 19000 | 3.5881 | 0.3608 |
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+ | 3.5828 | 2.1563 | 20000 | 3.5782 | 0.3614 |
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+ | 3.5716 | 2.2642 | 21000 | 3.5669 | 0.3630 |
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+ | 3.576 | 2.3720 | 22000 | 3.5567 | 0.3642 |
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+ | 3.5453 | 2.4798 | 23000 | 3.5440 | 0.3650 |
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+ | 3.5399 | 2.5876 | 24000 | 3.5344 | 0.3663 |
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+ | 3.5352 | 2.6954 | 25000 | 3.5252 | 0.3670 |
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+ | 3.5378 | 2.8032 | 26000 | 3.5165 | 0.3679 |
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+ | 3.5517 | 2.9111 | 27000 | 3.5093 | 0.3690 |
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+ | 3.4514 | 3.0189 | 28000 | 3.5047 | 0.3696 |
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+ | 3.4374 | 3.1267 | 29000 | 3.5018 | 0.3704 |
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+ | 3.4584 | 3.2345 | 30000 | 3.4943 | 0.3710 |
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+ | 3.464 | 3.3423 | 31000 | 3.4874 | 0.3716 |
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+ | 3.464 | 3.4501 | 32000 | 3.4821 | 0.3724 |
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+ | 3.4693 | 3.5580 | 33000 | 3.4771 | 0.3729 |
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+ | 3.4643 | 3.6658 | 34000 | 3.4692 | 0.3733 |
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+ | 3.4664 | 3.7736 | 35000 | 3.4641 | 0.3742 |
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+ | 3.4553 | 3.8814 | 36000 | 3.4557 | 0.3748 |
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+ | 3.4537 | 3.9892 | 37000 | 3.4497 | 0.3756 |
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+ | 3.3703 | 4.0970 | 38000 | 3.4527 | 0.3759 |
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+ | 3.37 | 4.2049 | 39000 | 3.4478 | 0.3768 |
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+ | 3.3935 | 4.3127 | 40000 | 3.4450 | 0.3769 |
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+ | 3.401 | 4.4205 | 41000 | 3.4378 | 0.3777 |
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+ | 3.3912 | 4.5283 | 42000 | 3.4328 | 0.3782 |
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+ | 3.4 | 4.6361 | 43000 | 3.4271 | 0.3784 |
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+ | 3.3918 | 4.7439 | 44000 | 3.4242 | 0.3788 |
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+ | 3.4105 | 4.8518 | 45000 | 3.4221 | 0.3793 |
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+ | 3.3777 | 4.9596 | 46000 | 3.4150 | 0.3800 |
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+ | 3.3212 | 5.0674 | 47000 | 3.4150 | 0.3803 |
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+ | 3.3175 | 5.1752 | 48000 | 3.4182 | 0.3805 |
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+ | 3.3477 | 5.2830 | 49000 | 3.4108 | 0.3810 |
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+ | 3.3461 | 5.3908 | 50000 | 3.4050 | 0.3816 |
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+ | 3.3498 | 5.4987 | 51000 | 3.4004 | 0.3820 |
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+ | 3.3223 | 5.6065 | 52000 | 3.3967 | 0.3823 |
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+ | 3.3388 | 5.7143 | 53000 | 3.3917 | 0.3826 |
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+ | 3.335 | 5.8221 | 54000 | 3.3874 | 0.3832 |
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+ | 3.3388 | 5.9299 | 55000 | 3.3839 | 0.3838 |
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+ | 3.2405 | 6.0377 | 56000 | 3.3894 | 0.3837 |
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+ | 3.262 | 6.1456 | 57000 | 3.3881 | 0.3837 |
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+ | 3.2827 | 6.2534 | 58000 | 3.3849 | 0.3840 |
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+ | 3.2942 | 6.3612 | 59000 | 3.3803 | 0.3845 |
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+ | 3.2918 | 6.4690 | 60000 | 3.3772 | 0.3850 |
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+ | 3.2864 | 6.5768 | 61000 | 3.3702 | 0.3858 |
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+ | 3.3026 | 6.6846 | 62000 | 3.3655 | 0.3861 |
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+ | 3.2836 | 6.7925 | 63000 | 3.3633 | 0.3862 |
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+ | 3.2924 | 6.9003 | 64000 | 3.3602 | 0.3866 |
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+ | 3.1885 | 7.0081 | 65000 | 3.3590 | 0.3870 |
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+ | 3.2296 | 7.1159 | 66000 | 3.3620 | 0.3871 |
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+ | 3.2337 | 7.2237 | 67000 | 3.3587 | 0.3874 |
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+ | 3.2312 | 7.3315 | 68000 | 3.3581 | 0.3875 |
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+ | 3.2233 | 7.4394 | 69000 | 3.3500 | 0.3882 |
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+ | 3.2273 | 7.5472 | 70000 | 3.3468 | 0.3884 |
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+ | 3.255 | 7.6550 | 71000 | 3.3450 | 0.3888 |
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+ | 3.254 | 7.7628 | 72000 | 3.3405 | 0.3894 |
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+ | 3.2353 | 7.8706 | 73000 | 3.3375 | 0.3896 |
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+ | 3.2553 | 7.9784 | 74000 | 3.3326 | 0.3901 |
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+ | 3.1599 | 8.0863 | 75000 | 3.3385 | 0.3900 |
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+ | 3.1594 | 8.1941 | 76000 | 3.3364 | 0.3902 |
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+ | 3.1794 | 8.3019 | 77000 | 3.3338 | 0.3903 |
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+ | 3.1714 | 8.4097 | 78000 | 3.3319 | 0.3906 |
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+ | 3.1822 | 8.5175 | 79000 | 3.3283 | 0.3909 |
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+ | 3.2022 | 8.6253 | 80000 | 3.3237 | 0.3916 |
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+ | 3.19 | 8.7332 | 81000 | 3.3214 | 0.3918 |
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+ | 3.1848 | 8.8410 | 82000 | 3.3168 | 0.3921 |
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+ | 3.1697 | 8.9488 | 83000 | 3.3144 | 0.3926 |
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+ | 3.1322 | 9.0566 | 84000 | 3.3159 | 0.3925 |
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+ | 3.1232 | 9.1644 | 85000 | 3.3170 | 0.3925 |
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+ | 3.1481 | 9.2722 | 86000 | 3.3149 | 0.3929 |
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+ | 3.1264 | 9.3801 | 87000 | 3.3116 | 0.3932 |
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+ | 3.1347 | 9.4879 | 88000 | 3.3106 | 0.3933 |
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+ | 3.1147 | 9.5957 | 89000 | 3.3072 | 0.3938 |
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+ | 3.1394 | 9.7035 | 90000 | 3.3050 | 0.3940 |
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+ | 3.1315 | 9.8113 | 91000 | 3.3035 | 0.3942 |
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+ | 3.1229 | 9.9191 | 92000 | 3.3021 | 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 sha256:03bd82927d9969d55c6e230ac35196693919738fd929daf53c027051d24cd8e7
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:29d8bd8cc6ee61c6310905817e0a9dcb84c44e9a0110f8a28fbf9a29d317fd37
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  size 503128704