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100M_high_100_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: 3.3100
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- - Accuracy: 0.3934
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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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- | 5.1258 | 0.1076 | 1000 | 5.0362 | 0.2258 |
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- | 4.5969 | 0.2153 | 2000 | 4.5337 | 0.2675 |
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- | 4.3367 | 0.3229 | 3000 | 4.2491 | 0.2964 |
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- | 4.1811 | 0.4305 | 4000 | 4.0998 | 0.3110 |
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- | 4.0786 | 0.5382 | 5000 | 4.0044 | 0.3201 |
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- | 3.9985 | 0.6458 | 6000 | 3.9274 | 0.3267 |
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- | 3.9524 | 0.7534 | 7000 | 3.8736 | 0.3324 |
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- | 3.882 | 0.8610 | 8000 | 3.8222 | 0.3369 |
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- | 3.8367 | 0.9687 | 9000 | 3.7823 | 0.3409 |
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- | 3.7663 | 1.0763 | 10000 | 3.7524 | 0.3441 |
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- | 3.7643 | 1.1839 | 11000 | 3.7254 | 0.3466 |
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- | 3.7483 | 1.2916 | 12000 | 3.7029 | 0.3488 |
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- | 3.7205 | 1.3992 | 13000 | 3.6827 | 0.3509 |
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- | 3.707 | 1.5068 | 14000 | 3.6632 | 0.3524 |
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- | 3.711 | 1.6145 | 15000 | 3.6443 | 0.3544 |
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- | 3.6737 | 1.7221 | 16000 | 3.6238 | 0.3567 |
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- | 3.6706 | 1.8297 | 17000 | 3.6093 | 0.3578 |
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- | 3.657 | 1.9374 | 18000 | 3.5950 | 0.3592 |
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- | 3.5771 | 2.0450 | 19000 | 3.5833 | 0.3611 |
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- | 3.578 | 2.1526 | 20000 | 3.5762 | 0.3619 |
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- | 3.5574 | 2.2603 | 21000 | 3.5682 | 0.3631 |
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- | 3.558 | 2.3679 | 22000 | 3.5572 | 0.3643 |
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- | 3.5429 | 2.4755 | 23000 | 3.5462 | 0.3650 |
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- | 3.5743 | 2.5831 | 24000 | 3.5352 | 0.3661 |
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- | 3.5461 | 2.6908 | 25000 | 3.5280 | 0.3672 |
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- | 3.5452 | 2.7984 | 26000 | 3.5200 | 0.3679 |
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- | 3.5328 | 2.9060 | 27000 | 3.5115 | 0.3683 |
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- | 3.4197 | 3.0137 | 28000 | 3.5067 | 0.3692 |
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- | 3.4578 | 3.1213 | 29000 | 3.5024 | 0.3703 |
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- | 3.4614 | 3.2289 | 30000 | 3.4953 | 0.3710 |
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- | 3.4567 | 3.3366 | 31000 | 3.4891 | 0.3717 |
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- | 3.4713 | 3.4442 | 32000 | 3.4824 | 0.3723 |
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- | 3.4621 | 3.5518 | 33000 | 3.4767 | 0.3730 |
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- | 3.4666 | 3.6595 | 34000 | 3.4720 | 0.3735 |
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- | 3.4571 | 3.7671 | 35000 | 3.4627 | 0.3740 |
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- | 3.4753 | 3.8747 | 36000 | 3.4570 | 0.3747 |
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- | 3.4523 | 3.9823 | 37000 | 3.4523 | 0.3753 |
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- | 3.3782 | 4.0900 | 38000 | 3.4569 | 0.3758 |
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- | 3.3696 | 4.1976 | 39000 | 3.4520 | 0.3761 |
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- | 3.4078 | 4.3052 | 40000 | 3.4440 | 0.3768 |
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- | 3.3962 | 4.4129 | 41000 | 3.4410 | 0.3770 |
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- | 3.3967 | 4.5205 | 42000 | 3.4345 | 0.3776 |
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- | 3.3823 | 4.6281 | 43000 | 3.4301 | 0.3781 |
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- | 3.4111 | 4.7358 | 44000 | 3.4245 | 0.3787 |
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- | 3.4209 | 4.8434 | 45000 | 3.4195 | 0.3794 |
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- | 3.4179 | 4.9510 | 46000 | 3.4144 | 0.3796 |
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- | 3.3212 | 5.0587 | 47000 | 3.4177 | 0.3801 |
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- | 3.337 | 5.1663 | 48000 | 3.4178 | 0.3803 |
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- | 3.3412 | 5.2739 | 49000 | 3.4154 | 0.3805 |
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- | 3.3354 | 5.3816 | 50000 | 3.4103 | 0.3810 |
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- | 3.3386 | 5.4892 | 51000 | 3.4063 | 0.3813 |
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- | 3.3353 | 5.5968 | 52000 | 3.3999 | 0.3822 |
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- | 3.3341 | 5.7044 | 53000 | 3.3946 | 0.3825 |
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- | 3.3252 | 5.8121 | 54000 | 3.3914 | 0.3826 |
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- | 3.3352 | 5.9197 | 55000 | 3.3855 | 0.3831 |
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- | 3.257 | 6.0273 | 56000 | 3.3913 | 0.3830 |
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- | 3.288 | 6.1350 | 57000 | 3.3887 | 0.3835 |
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- | 3.3005 | 6.2426 | 58000 | 3.3869 | 0.3839 |
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- | 3.2823 | 6.3502 | 59000 | 3.3795 | 0.3845 |
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- | 3.2833 | 6.4579 | 60000 | 3.3786 | 0.3847 |
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- | 3.2752 | 6.5655 | 61000 | 3.3745 | 0.3852 |
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- | 3.2936 | 6.6731 | 62000 | 3.3696 | 0.3855 |
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- | 3.296 | 6.7808 | 63000 | 3.3650 | 0.3860 |
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- | 3.2912 | 6.8884 | 64000 | 3.3604 | 0.3861 |
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- | 3.2958 | 6.9960 | 65000 | 3.3594 | 0.3867 |
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- | 3.2084 | 7.1036 | 66000 | 3.3643 | 0.3866 |
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- | 3.2274 | 7.2113 | 67000 | 3.3620 | 0.3869 |
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- | 3.2339 | 7.3189 | 68000 | 3.3595 | 0.3872 |
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- | 3.2506 | 7.4265 | 69000 | 3.3551 | 0.3877 |
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- | 3.241 | 7.5342 | 70000 | 3.3507 | 0.3882 |
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- | 3.2444 | 7.6418 | 71000 | 3.3479 | 0.3881 |
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- | 3.2415 | 7.7494 | 72000 | 3.3438 | 0.3886 |
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- | 3.2511 | 7.8571 | 73000 | 3.3401 | 0.3891 |
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- | 3.2543 | 7.9647 | 74000 | 3.3361 | 0.3893 |
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- | 3.1617 | 8.0723 | 75000 | 3.3417 | 0.3890 |
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- | 3.2037 | 8.1800 | 76000 | 3.3391 | 0.3897 |
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- | 3.1699 | 8.2876 | 77000 | 3.3380 | 0.3898 |
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- | 3.1907 | 8.3952 | 78000 | 3.3347 | 0.3901 |
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- | 3.2006 | 8.5029 | 79000 | 3.3313 | 0.3904 |
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- | 3.1977 | 8.6105 | 80000 | 3.3274 | 0.3910 |
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- | 3.2118 | 8.7181 | 81000 | 3.3226 | 0.3914 |
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- | 3.1913 | 8.8257 | 82000 | 3.3213 | 0.3917 |
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- | 3.2144 | 8.9334 | 83000 | 3.3174 | 0.3919 |
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- | 3.1164 | 9.0410 | 84000 | 3.3201 | 0.3922 |
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- | 3.1358 | 9.1486 | 85000 | 3.3198 | 0.3922 |
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- | 3.1641 | 9.2563 | 86000 | 3.3172 | 0.3924 |
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- | 3.1405 | 9.3639 | 87000 | 3.3151 | 0.3926 |
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- | 3.1542 | 9.4715 | 88000 | 3.3133 | 0.3930 |
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- | 3.1566 | 9.5792 | 89000 | 3.3096 | 0.3932 |
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- | 3.1497 | 9.6868 | 90000 | 3.3078 | 0.3936 |
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- | 3.1523 | 9.7944 | 91000 | 3.3058 | 0.3936 |
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- | 3.1392 | 9.9021 | 92000 | 3.3045 | 0.3938 |
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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: 3.2977
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+ - Accuracy: 0.3948
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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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+ | 5.1091 | 0.1078 | 1000 | 5.0173 | 0.2273 |
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+ | 4.5875 | 0.2156 | 2000 | 4.5140 | 0.2696 |
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+ | 4.2974 | 0.3235 | 3000 | 4.2378 | 0.2982 |
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+ | 4.1644 | 0.4313 | 4000 | 4.0976 | 0.3109 |
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+ | 4.0634 | 0.5391 | 5000 | 3.9904 | 0.3213 |
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+ | 3.9904 | 0.6469 | 6000 | 3.9212 | 0.3281 |
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+ | 3.9408 | 0.7547 | 7000 | 3.8647 | 0.3336 |
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+ | 3.8837 | 0.8625 | 8000 | 3.8172 | 0.3377 |
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+ | 3.8447 | 0.9704 | 9000 | 3.7772 | 0.3414 |
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+ | 3.7717 | 1.0782 | 10000 | 3.7493 | 0.3444 |
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+ | 3.7505 | 1.1860 | 11000 | 3.7204 | 0.3469 |
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+ | 3.7397 | 1.2938 | 12000 | 3.6965 | 0.3495 |
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+ | 3.7305 | 1.4016 | 13000 | 3.6764 | 0.3516 |
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+ | 3.6967 | 1.5094 | 14000 | 3.6570 | 0.3540 |
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+ | 3.6884 | 1.6173 | 15000 | 3.6370 | 0.3552 |
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+ | 3.6777 | 1.7251 | 16000 | 3.6188 | 0.3571 |
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+ | 3.6511 | 1.8329 | 17000 | 3.6064 | 0.3587 |
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+ | 3.6524 | 1.9407 | 18000 | 3.5913 | 0.3602 |
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+ | 3.549 | 2.0485 | 19000 | 3.5808 | 0.3615 |
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+ | 3.5552 | 2.1563 | 20000 | 3.5696 | 0.3630 |
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+ | 3.565 | 2.2642 | 21000 | 3.5605 | 0.3635 |
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+ | 3.5491 | 2.3720 | 22000 | 3.5520 | 0.3645 |
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+ | 3.5438 | 2.4798 | 23000 | 3.5407 | 0.3657 |
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+ | 3.5644 | 2.5876 | 24000 | 3.5307 | 0.3670 |
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+ | 3.5342 | 2.6954 | 25000 | 3.5210 | 0.3678 |
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+ | 3.5307 | 2.8032 | 26000 | 3.5134 | 0.3686 |
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+ | 3.5252 | 2.9111 | 27000 | 3.5044 | 0.3696 |
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+ | 3.4435 | 3.0189 | 28000 | 3.5009 | 0.3704 |
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+ | 3.4453 | 3.1267 | 29000 | 3.4987 | 0.3708 |
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+ | 3.4463 | 3.2345 | 30000 | 3.4916 | 0.3710 |
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+ | 3.447 | 3.3423 | 31000 | 3.4841 | 0.3722 |
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+ | 3.4748 | 3.4501 | 32000 | 3.4775 | 0.3729 |
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+ | 3.4465 | 3.5580 | 33000 | 3.4710 | 0.3733 |
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+ | 3.4638 | 3.6658 | 34000 | 3.4638 | 0.3741 |
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+ | 3.4468 | 3.7736 | 35000 | 3.4574 | 0.3748 |
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+ | 3.4771 | 3.8814 | 36000 | 3.4507 | 0.3753 |
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+ | 3.4416 | 3.9892 | 37000 | 3.4466 | 0.3760 |
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+ | 3.3806 | 4.0970 | 38000 | 3.4494 | 0.3761 |
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+ | 3.3812 | 4.2049 | 39000 | 3.4428 | 0.3770 |
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+ | 3.3959 | 4.3127 | 40000 | 3.4372 | 0.3776 |
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+ | 3.3916 | 4.4205 | 41000 | 3.4329 | 0.3780 |
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+ | 3.3794 | 4.5283 | 42000 | 3.4293 | 0.3787 |
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+ | 3.3771 | 4.6361 | 43000 | 3.4243 | 0.3787 |
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+ | 3.3784 | 4.7439 | 44000 | 3.4192 | 0.3796 |
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+ | 3.402 | 4.8518 | 45000 | 3.4123 | 0.3800 |
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+ | 3.3879 | 4.9596 | 46000 | 3.4087 | 0.3806 |
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+ | 3.2864 | 5.0674 | 47000 | 3.4112 | 0.3809 |
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+ | 3.3291 | 5.1752 | 48000 | 3.4113 | 0.3808 |
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+ | 3.3137 | 5.2830 | 49000 | 3.4065 | 0.3815 |
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+ | 3.3513 | 5.3908 | 50000 | 3.4037 | 0.3819 |
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+ | 3.3314 | 5.4987 | 51000 | 3.3980 | 0.3821 |
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+ | 3.3423 | 5.6065 | 52000 | 3.3951 | 0.3827 |
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+ | 3.3437 | 5.7143 | 53000 | 3.3887 | 0.3832 |
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+ | 3.3466 | 5.8221 | 54000 | 3.3840 | 0.3833 |
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+ | 3.3094 | 5.9299 | 55000 | 3.3810 | 0.3841 |
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+ | 3.2697 | 6.0377 | 56000 | 3.3822 | 0.3841 |
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+ | 3.268 | 6.1456 | 57000 | 3.3829 | 0.3844 |
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+ | 3.2707 | 6.2534 | 58000 | 3.3810 | 0.3843 |
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+ | 3.2779 | 6.3612 | 59000 | 3.3749 | 0.3851 |
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+ | 3.2937 | 6.4690 | 60000 | 3.3716 | 0.3856 |
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+ | 3.2729 | 6.5768 | 61000 | 3.3671 | 0.3859 |
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+ | 3.2836 | 6.6846 | 62000 | 3.3633 | 0.3861 |
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+ | 3.2774 | 6.7925 | 63000 | 3.3597 | 0.3866 |
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+ | 3.2914 | 6.9003 | 64000 | 3.3540 | 0.3873 |
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+ | 3.2091 | 7.0081 | 65000 | 3.3567 | 0.3874 |
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+ | 3.2318 | 7.1159 | 66000 | 3.3587 | 0.3875 |
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+ | 3.2184 | 7.2237 | 67000 | 3.3568 | 0.3874 |
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+ | 3.2297 | 7.3315 | 68000 | 3.3529 | 0.3881 |
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+ | 3.2426 | 7.4394 | 69000 | 3.3500 | 0.3885 |
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+ | 3.2325 | 7.5472 | 70000 | 3.3441 | 0.3886 |
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+ | 3.2226 | 7.6550 | 71000 | 3.3415 | 0.3892 |
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+ | 3.2521 | 7.7628 | 72000 | 3.3374 | 0.3897 |
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+ | 3.2495 | 7.8706 | 73000 | 3.3331 | 0.3901 |
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+ | 3.2473 | 7.9784 | 74000 | 3.3277 | 0.3904 |
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+ | 3.1531 | 8.0863 | 75000 | 3.3347 | 0.3902 |
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+ | 3.1783 | 8.1941 | 76000 | 3.3342 | 0.3906 |
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+ | 3.1693 | 8.3019 | 77000 | 3.3320 | 0.3907 |
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+ | 3.1648 | 8.4097 | 78000 | 3.3282 | 0.3911 |
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+ | 3.1814 | 8.5175 | 79000 | 3.3247 | 0.3915 |
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+ | 3.185 | 8.6253 | 80000 | 3.3208 | 0.3918 |
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+ | 3.1908 | 8.7332 | 81000 | 3.3164 | 0.3923 |
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+ | 3.1937 | 8.8410 | 82000 | 3.3138 | 0.3925 |
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+ | 3.1689 | 8.9488 | 83000 | 3.3117 | 0.3928 |
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+ | 3.1307 | 9.0566 | 84000 | 3.3142 | 0.3928 |
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+ | 3.1312 | 9.1644 | 85000 | 3.3131 | 0.3931 |
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+ | 3.1131 | 9.2722 | 86000 | 3.3118 | 0.3934 |
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+ | 3.1203 | 9.3801 | 87000 | 3.3089 | 0.3936 |
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+ | 3.1255 | 9.4879 | 88000 | 3.3059 | 0.3939 |
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+ | 3.1369 | 9.5957 | 89000 | 3.3033 | 0.3942 |
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+ | 3.1301 | 9.7035 | 90000 | 3.3014 | 0.3944 |
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+ | 3.1353 | 9.8113 | 91000 | 3.2993 | 0.3946 |
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+ | 3.1313 | 9.9191 | 92000 | 3.2977 | 0.3948 |
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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 sha256:1fb3ecb863c9805e74790882ff5622ed381aca2e1e98f97c08175453535f2ee6
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:ceb0d2c7daaab6431b66df712101cefaccd9fb2babe68d565cd2853ebebf60d7
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  size 503128704