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100M_high_500_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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- | 5.1248 | 0.1076 | 1000 | 5.0460 | 0.2250 |
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- | 4.5974 | 0.2153 | 2000 | 4.5310 | 0.2680 |
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- | 4.3231 | 0.3229 | 3000 | 4.2496 | 0.2971 |
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- | 4.1635 | 0.4305 | 4000 | 4.1020 | 0.3112 |
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- | 4.0722 | 0.5382 | 5000 | 4.0140 | 0.3197 |
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- | 4.01 | 0.6458 | 6000 | 3.9317 | 0.3266 |
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- | 3.9501 | 0.7534 | 7000 | 3.8714 | 0.3326 |
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- | 3.8901 | 0.8610 | 8000 | 3.8267 | 0.3366 |
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- | 3.8356 | 0.9687 | 9000 | 3.7865 | 0.3402 |
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- | 3.7598 | 1.0763 | 10000 | 3.7581 | 0.3434 |
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- | 3.7546 | 1.1839 | 11000 | 3.7350 | 0.3457 |
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- | 3.7616 | 1.2916 | 12000 | 3.7051 | 0.3488 |
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- | 3.7292 | 1.3992 | 13000 | 3.6813 | 0.3506 |
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- | 3.7009 | 1.5068 | 14000 | 3.6619 | 0.3527 |
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- | 3.6813 | 1.6145 | 15000 | 3.6461 | 0.3547 |
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- | 3.6984 | 1.7221 | 16000 | 3.6292 | 0.3560 |
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- | 3.6542 | 1.8297 | 17000 | 3.6140 | 0.3576 |
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- | 3.6455 | 1.9374 | 18000 | 3.5972 | 0.3592 |
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- | 3.5497 | 2.0450 | 19000 | 3.5886 | 0.3608 |
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- | 3.575 | 2.1526 | 20000 | 3.5775 | 0.3618 |
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- | 3.5549 | 2.2603 | 21000 | 3.5696 | 0.3628 |
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- | 3.5893 | 2.3679 | 22000 | 3.5553 | 0.3641 |
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- | 3.5642 | 2.4755 | 23000 | 3.5512 | 0.3648 |
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- | 3.5493 | 2.5831 | 24000 | 3.5361 | 0.3661 |
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- | 3.5292 | 2.6908 | 25000 | 3.5277 | 0.3670 |
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- | 3.5406 | 2.7984 | 26000 | 3.5209 | 0.3680 |
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- | 3.5378 | 2.9060 | 27000 | 3.5112 | 0.3688 |
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- | 3.4282 | 3.0137 | 28000 | 3.5051 | 0.3695 |
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- | 3.4554 | 3.1213 | 29000 | 3.5008 | 0.3702 |
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- | 3.4591 | 3.2289 | 30000 | 3.4975 | 0.3707 |
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- | 3.4659 | 3.3366 | 31000 | 3.4883 | 0.3716 |
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- | 3.4654 | 3.4442 | 32000 | 3.4816 | 0.3723 |
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- | 3.4478 | 3.5518 | 33000 | 3.4745 | 0.3730 |
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- | 3.4676 | 3.6595 | 34000 | 3.4698 | 0.3738 |
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- | 3.4634 | 3.7671 | 35000 | 3.4639 | 0.3742 |
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- | 3.4527 | 3.8747 | 36000 | 3.4579 | 0.3746 |
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- | 3.4399 | 3.9823 | 37000 | 3.4512 | 0.3752 |
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- | 3.4026 | 4.0900 | 38000 | 3.4528 | 0.3760 |
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- | 3.3785 | 4.1976 | 39000 | 3.4487 | 0.3763 |
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- | 3.3917 | 4.3052 | 40000 | 3.4436 | 0.3770 |
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- | 3.4052 | 4.4129 | 41000 | 3.4411 | 0.3772 |
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- | 3.3848 | 4.5205 | 42000 | 3.4343 | 0.3778 |
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- | 3.3744 | 4.6281 | 43000 | 3.4290 | 0.3785 |
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- | 3.3811 | 4.7358 | 44000 | 3.4234 | 0.3787 |
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- | 3.3874 | 4.8434 | 45000 | 3.4187 | 0.3793 |
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- | 3.3886 | 4.9510 | 46000 | 3.4137 | 0.3798 |
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- | 3.3227 | 5.0587 | 47000 | 3.4167 | 0.3800 |
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- | 3.3206 | 5.1663 | 48000 | 3.4171 | 0.3801 |
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- | 3.3389 | 5.2739 | 49000 | 3.4133 | 0.3806 |
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- | 3.3315 | 5.3816 | 50000 | 3.4095 | 0.3813 |
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- | 3.326 | 5.4892 | 51000 | 3.4041 | 0.3812 |
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- | 3.3432 | 5.5968 | 52000 | 3.3999 | 0.3817 |
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- | 3.3455 | 5.7044 | 53000 | 3.3942 | 0.3825 |
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- | 3.3322 | 5.8121 | 54000 | 3.3886 | 0.3831 |
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- | 3.3463 | 5.9197 | 55000 | 3.3860 | 0.3835 |
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- | 3.2314 | 6.0273 | 56000 | 3.3911 | 0.3833 |
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- | 3.2888 | 6.1350 | 57000 | 3.3896 | 0.3835 |
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- | 3.2873 | 6.2426 | 58000 | 3.3844 | 0.3839 |
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- | 3.2913 | 6.3502 | 59000 | 3.3825 | 0.3842 |
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- | 3.2839 | 6.4579 | 60000 | 3.3763 | 0.3848 |
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- | 3.2901 | 6.5655 | 61000 | 3.3733 | 0.3850 |
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- | 3.2903 | 6.6731 | 62000 | 3.3709 | 0.3855 |
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- | 3.3036 | 6.7808 | 63000 | 3.3650 | 0.3856 |
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- | 3.2902 | 6.8884 | 64000 | 3.3612 | 0.3862 |
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- | 3.2981 | 6.9960 | 65000 | 3.3577 | 0.3866 |
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- | 3.2 | 7.1036 | 66000 | 3.3646 | 0.3864 |
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- | 3.236 | 7.2113 | 67000 | 3.3601 | 0.3871 |
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- | 3.2387 | 7.3189 | 68000 | 3.3580 | 0.3872 |
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- | 3.2636 | 7.4265 | 69000 | 3.3528 | 0.3876 |
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- | 3.2661 | 7.5342 | 70000 | 3.3512 | 0.3877 |
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- | 3.253 | 7.6418 | 71000 | 3.3461 | 0.3883 |
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- | 3.2387 | 7.7494 | 72000 | 3.3433 | 0.3885 |
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- | 3.2749 | 7.8571 | 73000 | 3.3398 | 0.3892 |
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- | 3.2419 | 7.9647 | 74000 | 3.3362 | 0.3894 |
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- | 3.1654 | 8.0723 | 75000 | 3.3397 | 0.3894 |
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- | 3.189 | 8.1800 | 76000 | 3.3386 | 0.3896 |
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- | 3.178 | 8.2876 | 77000 | 3.3367 | 0.3900 |
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- | 3.183 | 8.3952 | 78000 | 3.3343 | 0.3904 |
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- | 3.1927 | 8.5029 | 79000 | 3.3299 | 0.3907 |
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- | 3.1789 | 8.6105 | 80000 | 3.3265 | 0.3910 |
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- | 3.1852 | 8.7181 | 81000 | 3.3228 | 0.3915 |
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- | 3.1709 | 8.8257 | 82000 | 3.3196 | 0.3916 |
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- | 3.1872 | 8.9334 | 83000 | 3.3166 | 0.3921 |
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- | 3.1222 | 9.0410 | 84000 | 3.3194 | 0.3920 |
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- | 3.1332 | 9.1486 | 85000 | 3.3183 | 0.3922 |
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- | 3.1427 | 9.2563 | 86000 | 3.3165 | 0.3924 |
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- | 3.1391 | 9.3639 | 87000 | 3.3149 | 0.3928 |
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- | 3.1441 | 9.4715 | 88000 | 3.3123 | 0.3930 |
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- | 3.1428 | 9.5792 | 89000 | 3.3094 | 0.3934 |
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- | 3.1447 | 9.6868 | 90000 | 3.3077 | 0.3934 |
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- | 3.16 | 9.7944 | 91000 | 3.3055 | 0.3937 |
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- | 3.1477 | 9.9021 | 92000 | 3.3037 | 0.3939 |
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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: 3.3000
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+ - Accuracy: 0.3945
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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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+ | 5.1075 | 0.1078 | 1000 | 5.0392 | 0.2258 |
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+ | 4.5986 | 0.2156 | 2000 | 4.5239 | 0.2688 |
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+ | 4.3212 | 0.3235 | 3000 | 4.2565 | 0.2972 |
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+ | 4.1636 | 0.4313 | 4000 | 4.0901 | 0.3129 |
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+ | 4.0541 | 0.5391 | 5000 | 3.9974 | 0.3209 |
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+ | 3.9992 | 0.6469 | 6000 | 3.9223 | 0.3279 |
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+ | 3.9262 | 0.7547 | 7000 | 3.8664 | 0.3330 |
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+ | 3.8584 | 0.8625 | 8000 | 3.8202 | 0.3373 |
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+ | 3.8593 | 0.9704 | 9000 | 3.7823 | 0.3409 |
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+ | 3.7652 | 1.0782 | 10000 | 3.7502 | 0.3447 |
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+ | 3.7744 | 1.1860 | 11000 | 3.7262 | 0.3471 |
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+ | 3.7343 | 1.2938 | 12000 | 3.7000 | 0.3496 |
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+ | 3.7098 | 1.4016 | 13000 | 3.6751 | 0.3519 |
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+ | 3.706 | 1.5094 | 14000 | 3.6597 | 0.3534 |
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+ | 3.6668 | 1.6173 | 15000 | 3.6379 | 0.3556 |
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+ | 3.6663 | 1.7251 | 16000 | 3.6225 | 0.3574 |
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+ | 3.6412 | 1.8329 | 17000 | 3.6049 | 0.3589 |
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+ | 3.634 | 1.9407 | 18000 | 3.5927 | 0.3598 |
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+ | 3.57 | 2.0485 | 19000 | 3.5815 | 0.3618 |
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+ | 3.5772 | 2.1563 | 20000 | 3.5757 | 0.3623 |
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+ | 3.5661 | 2.2642 | 21000 | 3.5629 | 0.3636 |
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+ | 3.5726 | 2.3720 | 22000 | 3.5519 | 0.3648 |
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+ | 3.5424 | 2.4798 | 23000 | 3.5408 | 0.3657 |
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+ | 3.5334 | 2.5876 | 24000 | 3.5325 | 0.3669 |
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+ | 3.5294 | 2.6954 | 25000 | 3.5218 | 0.3675 |
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+ | 3.5349 | 2.8032 | 26000 | 3.5128 | 0.3683 |
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+ | 3.5472 | 2.9111 | 27000 | 3.5035 | 0.3697 |
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+ | 3.4469 | 3.0189 | 28000 | 3.5020 | 0.3702 |
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+ | 3.4316 | 3.1267 | 29000 | 3.4976 | 0.3712 |
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+ | 3.4541 | 3.2345 | 30000 | 3.4913 | 0.3714 |
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+ | 3.459 | 3.3423 | 31000 | 3.4849 | 0.3721 |
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+ | 3.46 | 3.4501 | 32000 | 3.4763 | 0.3732 |
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+ | 3.4641 | 3.5580 | 33000 | 3.4723 | 0.3738 |
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+ | 3.4617 | 3.6658 | 34000 | 3.4666 | 0.3737 |
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+ | 3.4621 | 3.7736 | 35000 | 3.4563 | 0.3752 |
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+ | 3.4515 | 3.8814 | 36000 | 3.4523 | 0.3752 |
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+ | 3.4491 | 3.9892 | 37000 | 3.4472 | 0.3760 |
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+ | 3.3645 | 4.0970 | 38000 | 3.4507 | 0.3762 |
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+ | 3.3654 | 4.2049 | 39000 | 3.4471 | 0.3770 |
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+ | 3.3894 | 4.3127 | 40000 | 3.4419 | 0.3771 |
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+ | 3.3968 | 4.4205 | 41000 | 3.4342 | 0.3781 |
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+ | 3.3864 | 4.5283 | 42000 | 3.4292 | 0.3788 |
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+ | 3.3964 | 4.6361 | 43000 | 3.4243 | 0.3789 |
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+ | 3.3894 | 4.7439 | 44000 | 3.4194 | 0.3793 |
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+ | 3.406 | 4.8518 | 45000 | 3.4150 | 0.3800 |
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+ | 3.3737 | 4.9596 | 46000 | 3.4108 | 0.3804 |
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+ | 3.317 | 5.0674 | 47000 | 3.4122 | 0.3806 |
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+ | 3.3154 | 5.1752 | 48000 | 3.4122 | 0.3811 |
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+ | 3.346 | 5.2830 | 49000 | 3.4069 | 0.3815 |
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+ | 3.3443 | 5.3908 | 50000 | 3.4046 | 0.3816 |
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+ | 3.345 | 5.4987 | 51000 | 3.4004 | 0.3818 |
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+ | 3.3191 | 5.6065 | 52000 | 3.3955 | 0.3822 |
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+ | 3.3349 | 5.7143 | 53000 | 3.3892 | 0.3831 |
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+ | 3.332 | 5.8221 | 54000 | 3.3859 | 0.3833 |
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+ | 3.3376 | 5.9299 | 55000 | 3.3818 | 0.3838 |
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+ | 3.2377 | 6.0377 | 56000 | 3.3851 | 0.3838 |
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+ | 3.2589 | 6.1456 | 57000 | 3.3853 | 0.3840 |
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+ | 3.2784 | 6.2534 | 58000 | 3.3812 | 0.3844 |
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+ | 3.2895 | 6.3612 | 59000 | 3.3772 | 0.3846 |
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+ | 3.2908 | 6.4690 | 60000 | 3.3740 | 0.3851 |
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+ | 3.2828 | 6.5768 | 61000 | 3.3680 | 0.3858 |
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+ | 3.3009 | 6.6846 | 62000 | 3.3626 | 0.3862 |
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+ | 3.2808 | 6.7925 | 63000 | 3.3600 | 0.3865 |
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+ | 3.2885 | 6.9003 | 64000 | 3.3558 | 0.3871 |
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+ | 3.1848 | 7.0081 | 65000 | 3.3584 | 0.3869 |
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+ | 3.2273 | 7.1159 | 66000 | 3.3597 | 0.3874 |
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+ | 3.2312 | 7.2237 | 67000 | 3.3567 | 0.3876 |
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+ | 3.2312 | 7.3315 | 68000 | 3.3564 | 0.3876 |
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+ | 3.2206 | 7.4394 | 69000 | 3.3501 | 0.3882 |
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+ | 3.2253 | 7.5472 | 70000 | 3.3472 | 0.3882 |
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+ | 3.2527 | 7.6550 | 71000 | 3.3424 | 0.3889 |
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+ | 3.2532 | 7.7628 | 72000 | 3.3399 | 0.3892 |
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+ | 3.2332 | 7.8706 | 73000 | 3.3349 | 0.3896 |
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+ | 3.2535 | 7.9784 | 74000 | 3.3310 | 0.3901 |
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+ | 3.1589 | 8.0863 | 75000 | 3.3378 | 0.3900 |
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+ | 3.1588 | 8.1941 | 76000 | 3.3350 | 0.3902 |
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+ | 3.1776 | 8.3019 | 77000 | 3.3323 | 0.3905 |
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+ | 3.1701 | 8.4097 | 78000 | 3.3297 | 0.3907 |
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+ | 3.1819 | 8.5175 | 79000 | 3.3245 | 0.3911 |
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+ | 3.1988 | 8.6253 | 80000 | 3.3220 | 0.3917 |
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+ | 3.1876 | 8.7332 | 81000 | 3.3191 | 0.3920 |
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+ | 3.1844 | 8.8410 | 82000 | 3.3156 | 0.3921 |
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+ | 3.1661 | 8.9488 | 83000 | 3.3130 | 0.3925 |
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+ | 3.1287 | 9.0566 | 84000 | 3.3150 | 0.3925 |
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+ | 3.1215 | 9.1644 | 85000 | 3.3147 | 0.3926 |
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+ | 3.1458 | 9.2722 | 86000 | 3.3122 | 0.3931 |
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+ | 3.1262 | 9.3801 | 87000 | 3.3105 | 0.3934 |
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+ | 3.1322 | 9.4879 | 88000 | 3.3077 | 0.3936 |
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+ | 3.1109 | 9.5957 | 89000 | 3.3059 | 0.3939 |
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+ | 3.1378 | 9.7035 | 90000 | 3.3034 | 0.3941 |
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+ | 3.1275 | 9.8113 | 91000 | 3.3019 | 0.3943 |
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+ | 3.122 | 9.9191 | 92000 | 3.3000 | 0.3945 |
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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 sha256:79e4d1a00bc5f700b95d43b6263dd26320a86c8c21a7a4649cd61cc9e8336bab
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:98ea8764906698ce5da4f13e17e95347d595a97ca35a122fe08784afdeaabde4
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  size 503128704