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100M_low_100_6910

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: 3.3006
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- - Accuracy: 0.3945
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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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- | 5.081 | 0.1076 | 1000 | 5.0068 | 0.2287 |
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- | 4.5729 | 0.2153 | 2000 | 4.5061 | 0.2709 |
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- | 4.3042 | 0.3229 | 3000 | 4.2268 | 0.3000 |
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- | 4.1469 | 0.4305 | 4000 | 4.0843 | 0.3129 |
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- | 4.055 | 0.5382 | 5000 | 3.9933 | 0.3214 |
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- | 3.9785 | 0.6458 | 6000 | 3.9196 | 0.3285 |
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- | 3.9052 | 0.7534 | 7000 | 3.8597 | 0.3343 |
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- | 3.8841 | 0.8610 | 8000 | 3.8151 | 0.3377 |
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- | 3.8253 | 0.9687 | 9000 | 3.7737 | 0.3415 |
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- | 3.7491 | 1.0763 | 10000 | 3.7471 | 0.3447 |
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- | 3.753 | 1.1839 | 11000 | 3.7187 | 0.3475 |
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- | 3.7384 | 1.2916 | 12000 | 3.6945 | 0.3498 |
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- | 3.6981 | 1.3992 | 13000 | 3.6732 | 0.3514 |
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- | 3.6974 | 1.5068 | 14000 | 3.6515 | 0.3534 |
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- | 3.6824 | 1.6145 | 15000 | 3.6339 | 0.3557 |
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- | 3.6584 | 1.7221 | 16000 | 3.6203 | 0.3569 |
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- | 3.654 | 1.8297 | 17000 | 3.6024 | 0.3589 |
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- | 3.6152 | 1.9374 | 18000 | 3.5881 | 0.3605 |
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- | 3.5524 | 2.0450 | 19000 | 3.5785 | 0.3613 |
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- | 3.5683 | 2.1526 | 20000 | 3.5700 | 0.3626 |
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- | 3.5478 | 2.2603 | 21000 | 3.5570 | 0.3639 |
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- | 3.5524 | 2.3679 | 22000 | 3.5486 | 0.3651 |
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- | 3.531 | 2.4755 | 23000 | 3.5362 | 0.3662 |
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- | 3.5333 | 2.5831 | 24000 | 3.5289 | 0.3668 |
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- | 3.531 | 2.6908 | 25000 | 3.5187 | 0.3679 |
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- | 3.5237 | 2.7984 | 26000 | 3.5079 | 0.3691 |
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- | 3.538 | 2.9060 | 27000 | 3.5002 | 0.3696 |
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- | 3.418 | 3.0137 | 28000 | 3.4958 | 0.3704 |
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- | 3.4485 | 3.1213 | 29000 | 3.4941 | 0.3713 |
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- | 3.4585 | 3.2289 | 30000 | 3.4840 | 0.3720 |
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- | 3.4453 | 3.3366 | 31000 | 3.4792 | 0.3728 |
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- | 3.4516 | 3.4442 | 32000 | 3.4715 | 0.3734 |
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- | 3.4467 | 3.5518 | 33000 | 3.4666 | 0.3738 |
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- | 3.4529 | 3.6595 | 34000 | 3.4608 | 0.3751 |
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- | 3.4391 | 3.7671 | 35000 | 3.4537 | 0.3754 |
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- | 3.4451 | 3.8747 | 36000 | 3.4475 | 0.3761 |
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- | 3.4504 | 3.9823 | 37000 | 3.4413 | 0.3766 |
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- | 3.369 | 4.0900 | 38000 | 3.4438 | 0.3768 |
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- | 3.3694 | 4.1976 | 39000 | 3.4400 | 0.3774 |
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- | 3.3703 | 4.3052 | 40000 | 3.4360 | 0.3780 |
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- | 3.3768 | 4.4129 | 41000 | 3.4302 | 0.3785 |
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- | 3.3835 | 4.5205 | 42000 | 3.4256 | 0.3788 |
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- | 3.3709 | 4.6281 | 43000 | 3.4205 | 0.3797 |
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- | 3.3854 | 4.7358 | 44000 | 3.4131 | 0.3798 |
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- | 3.3567 | 4.8434 | 45000 | 3.4102 | 0.3805 |
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- | 3.3924 | 4.9510 | 46000 | 3.4045 | 0.3807 |
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- | 3.2885 | 5.0587 | 47000 | 3.4084 | 0.3810 |
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- | 3.3021 | 5.1663 | 48000 | 3.4067 | 0.3816 |
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- | 3.3224 | 5.2739 | 49000 | 3.4037 | 0.3820 |
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- | 3.3203 | 5.3816 | 50000 | 3.3991 | 0.3820 |
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- | 3.3393 | 5.4892 | 51000 | 3.3940 | 0.3828 |
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- | 3.3257 | 5.5968 | 52000 | 3.3903 | 0.3834 |
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- | 3.3528 | 5.7044 | 53000 | 3.3853 | 0.3835 |
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- | 3.3331 | 5.8121 | 54000 | 3.3826 | 0.3838 |
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- | 3.3153 | 5.9197 | 55000 | 3.3760 | 0.3844 |
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- | 3.2325 | 6.0273 | 56000 | 3.3817 | 0.3842 |
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- | 3.2597 | 6.1350 | 57000 | 3.3802 | 0.3847 |
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- | 3.2673 | 6.2426 | 58000 | 3.3778 | 0.3851 |
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- | 3.261 | 6.3502 | 59000 | 3.3732 | 0.3851 |
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- | 3.2727 | 6.4579 | 60000 | 3.3686 | 0.3861 |
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- | 3.2721 | 6.5655 | 61000 | 3.3664 | 0.3863 |
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- | 3.2861 | 6.6731 | 62000 | 3.3611 | 0.3865 |
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- | 3.2908 | 6.7808 | 63000 | 3.3591 | 0.3868 |
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- | 3.2877 | 6.8884 | 64000 | 3.3527 | 0.3874 |
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- | 3.2943 | 6.9960 | 65000 | 3.3468 | 0.3880 |
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- | 3.2205 | 7.1036 | 66000 | 3.3566 | 0.3876 |
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- | 3.2202 | 7.2113 | 67000 | 3.3533 | 0.3881 |
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- | 3.2212 | 7.3189 | 68000 | 3.3508 | 0.3883 |
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- | 3.2116 | 7.4265 | 69000 | 3.3474 | 0.3887 |
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- | 3.2088 | 7.5342 | 70000 | 3.3434 | 0.3890 |
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- | 3.2158 | 7.6418 | 71000 | 3.3399 | 0.3894 |
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- | 3.2291 | 7.7494 | 72000 | 3.3347 | 0.3897 |
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- | 3.2275 | 7.8571 | 73000 | 3.3317 | 0.3900 |
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- | 3.2337 | 7.9647 | 74000 | 3.3307 | 0.3905 |
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- | 3.1452 | 8.0723 | 75000 | 3.3344 | 0.3903 |
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- | 3.1654 | 8.1800 | 76000 | 3.3331 | 0.3906 |
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- | 3.1735 | 8.2876 | 77000 | 3.3299 | 0.3912 |
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- | 3.1872 | 8.3952 | 78000 | 3.3267 | 0.3912 |
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- | 3.1699 | 8.5029 | 79000 | 3.3236 | 0.3917 |
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- | 3.177 | 8.6105 | 80000 | 3.3181 | 0.3920 |
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- | 3.1874 | 8.7181 | 81000 | 3.3156 | 0.3924 |
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- | 3.1779 | 8.8257 | 82000 | 3.3114 | 0.3928 |
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- | 3.1972 | 8.9334 | 83000 | 3.3094 | 0.3930 |
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- | 3.1255 | 9.0410 | 84000 | 3.3121 | 0.3929 |
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- | 3.1135 | 9.1486 | 85000 | 3.3122 | 0.3930 |
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- | 3.1078 | 9.2563 | 86000 | 3.3093 | 0.3936 |
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- | 3.1374 | 9.3639 | 87000 | 3.3065 | 0.3940 |
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- | 3.1172 | 9.4715 | 88000 | 3.3059 | 0.3939 |
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- | 3.1352 | 9.5792 | 89000 | 3.3033 | 0.3942 |
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- | 3.1414 | 9.6868 | 90000 | 3.3006 | 0.3945 |
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- | 3.1164 | 9.7944 | 91000 | 3.2993 | 0.3947 |
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- | 3.1299 | 9.9021 | 92000 | 3.2976 | 0.3950 |
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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: 3.3008
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+ - Accuracy: 0.3946
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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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+ | 5.1133 | 0.1078 | 1000 | 5.0177 | 0.2279 |
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+ | 4.5815 | 0.2156 | 2000 | 4.5100 | 0.2704 |
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+ | 4.3128 | 0.3235 | 3000 | 4.2346 | 0.2982 |
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+ | 4.1543 | 0.4313 | 4000 | 4.0929 | 0.3117 |
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+ | 4.0614 | 0.5391 | 5000 | 3.9930 | 0.3213 |
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+ | 4.0023 | 0.6469 | 6000 | 3.9179 | 0.3278 |
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+ | 3.9267 | 0.7547 | 7000 | 3.8656 | 0.3329 |
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+ | 3.8842 | 0.8625 | 8000 | 3.8191 | 0.3373 |
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+ | 3.8401 | 0.9704 | 9000 | 3.7806 | 0.3408 |
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+ | 3.7776 | 1.0782 | 10000 | 3.7522 | 0.3446 |
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+ | 3.7392 | 1.1860 | 11000 | 3.7227 | 0.3473 |
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+ | 3.7357 | 1.2938 | 12000 | 3.7028 | 0.3491 |
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+ | 3.712 | 1.4016 | 13000 | 3.6788 | 0.3513 |
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+ | 3.7014 | 1.5094 | 14000 | 3.6588 | 0.3535 |
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+ | 3.6793 | 1.6173 | 15000 | 3.6393 | 0.3552 |
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+ | 3.6779 | 1.7251 | 16000 | 3.6186 | 0.3571 |
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+ | 3.6616 | 1.8329 | 17000 | 3.6057 | 0.3585 |
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+ | 3.6435 | 1.9407 | 18000 | 3.5903 | 0.3597 |
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+ | 3.5587 | 2.0485 | 19000 | 3.5821 | 0.3614 |
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+ | 3.5569 | 2.1563 | 20000 | 3.5717 | 0.3626 |
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+ | 3.558 | 2.2642 | 21000 | 3.5621 | 0.3635 |
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+ | 3.5454 | 2.3720 | 22000 | 3.5515 | 0.3647 |
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+ | 3.5515 | 2.4798 | 23000 | 3.5413 | 0.3654 |
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+ | 3.5418 | 2.5876 | 24000 | 3.5300 | 0.3667 |
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+ | 3.5263 | 2.6954 | 25000 | 3.5220 | 0.3676 |
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+ | 3.5393 | 2.8032 | 26000 | 3.5154 | 0.3685 |
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+ | 3.5221 | 2.9111 | 27000 | 3.5041 | 0.3695 |
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+ | 3.4466 | 3.0189 | 28000 | 3.5030 | 0.3704 |
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+ | 3.4397 | 3.1267 | 29000 | 3.4956 | 0.3708 |
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+ | 3.4692 | 3.2345 | 30000 | 3.4897 | 0.3717 |
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+ | 3.4756 | 3.3423 | 31000 | 3.4846 | 0.3723 |
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+ | 3.4631 | 3.4501 | 32000 | 3.4757 | 0.3731 |
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+ | 3.4533 | 3.5580 | 33000 | 3.4699 | 0.3737 |
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+ | 3.4529 | 3.6658 | 34000 | 3.4652 | 0.3743 |
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+ | 3.4703 | 3.7736 | 35000 | 3.4577 | 0.3749 |
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+ | 3.4362 | 3.8814 | 36000 | 3.4521 | 0.3755 |
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+ | 3.4184 | 3.9892 | 37000 | 3.4454 | 0.3759 |
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+ | 3.3617 | 4.0970 | 38000 | 3.4484 | 0.3763 |
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+ | 3.3852 | 4.2049 | 39000 | 3.4454 | 0.3769 |
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+ | 3.4018 | 4.3127 | 40000 | 3.4387 | 0.3773 |
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+ | 3.4156 | 4.4205 | 41000 | 3.4359 | 0.3781 |
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+ | 3.3872 | 4.5283 | 42000 | 3.4299 | 0.3787 |
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+ | 3.409 | 4.6361 | 43000 | 3.4255 | 0.3789 |
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+ | 3.3919 | 4.7439 | 44000 | 3.4218 | 0.3796 |
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+ | 3.389 | 4.8518 | 45000 | 3.4133 | 0.3803 |
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+ | 3.3883 | 4.9596 | 46000 | 3.4118 | 0.3807 |
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+ | 3.3146 | 5.0674 | 47000 | 3.4144 | 0.3806 |
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+ | 3.3079 | 5.1752 | 48000 | 3.4134 | 0.3810 |
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+ | 3.3279 | 5.2830 | 49000 | 3.4090 | 0.3815 |
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+ | 3.3427 | 5.3908 | 50000 | 3.4026 | 0.3818 |
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+ | 3.3181 | 5.4987 | 51000 | 3.3992 | 0.3821 |
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+ | 3.3289 | 5.6065 | 52000 | 3.3931 | 0.3825 |
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+ | 3.3412 | 5.7143 | 53000 | 3.3901 | 0.3829 |
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+ | 3.3256 | 5.8221 | 54000 | 3.3856 | 0.3836 |
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+ | 3.3295 | 5.9299 | 55000 | 3.3811 | 0.3840 |
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+ | 3.2398 | 6.0377 | 56000 | 3.3838 | 0.3839 |
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+ | 3.2699 | 6.1456 | 57000 | 3.3834 | 0.3841 |
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+ | 3.2784 | 6.2534 | 58000 | 3.3818 | 0.3846 |
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+ | 3.2947 | 6.3612 | 59000 | 3.3758 | 0.3851 |
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+ | 3.2839 | 6.4690 | 60000 | 3.3748 | 0.3853 |
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+ | 3.2776 | 6.5768 | 61000 | 3.3699 | 0.3857 |
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+ | 3.2793 | 6.6846 | 62000 | 3.3636 | 0.3861 |
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+ | 3.2902 | 6.7925 | 63000 | 3.3619 | 0.3865 |
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+ | 3.3023 | 6.9003 | 64000 | 3.3557 | 0.3871 |
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+ | 3.2116 | 7.0081 | 65000 | 3.3594 | 0.3869 |
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+ | 3.2235 | 7.1159 | 66000 | 3.3590 | 0.3875 |
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+ | 3.2327 | 7.2237 | 67000 | 3.3574 | 0.3875 |
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+ | 3.2142 | 7.3315 | 68000 | 3.3543 | 0.3879 |
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+ | 3.2495 | 7.4394 | 69000 | 3.3518 | 0.3879 |
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+ | 3.235 | 7.5472 | 70000 | 3.3473 | 0.3888 |
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+ | 3.2357 | 7.6550 | 71000 | 3.3422 | 0.3891 |
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+ | 3.2309 | 7.7628 | 72000 | 3.3404 | 0.3896 |
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+ | 3.2328 | 7.8706 | 73000 | 3.3350 | 0.3896 |
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+ | 3.2466 | 7.9784 | 74000 | 3.3314 | 0.3901 |
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+ | 3.1588 | 8.0863 | 75000 | 3.3382 | 0.3899 |
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+ | 3.1865 | 8.1941 | 76000 | 3.3379 | 0.3900 |
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+ | 3.1768 | 8.3019 | 77000 | 3.3329 | 0.3906 |
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+ | 3.1926 | 8.4097 | 78000 | 3.3301 | 0.3909 |
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+ | 3.1797 | 8.5175 | 79000 | 3.3271 | 0.3913 |
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+ | 3.1762 | 8.6253 | 80000 | 3.3240 | 0.3917 |
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+ | 3.1897 | 8.7332 | 81000 | 3.3194 | 0.3921 |
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+ | 3.1955 | 8.8410 | 82000 | 3.3163 | 0.3923 |
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+ | 3.1736 | 8.9488 | 83000 | 3.3142 | 0.3927 |
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+ | 3.1086 | 9.0566 | 84000 | 3.3179 | 0.3926 |
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+ | 3.1468 | 9.1644 | 85000 | 3.3160 | 0.3928 |
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+ | 3.1322 | 9.2722 | 86000 | 3.3139 | 0.3932 |
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+ | 3.1201 | 9.3801 | 87000 | 3.3117 | 0.3933 |
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+ | 3.1364 | 9.4879 | 88000 | 3.3098 | 0.3937 |
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+ | 3.1301 | 9.5957 | 89000 | 3.3067 | 0.3939 |
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+ | 3.1337 | 9.7035 | 90000 | 3.3044 | 0.3941 |
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+ | 3.1327 | 9.8113 | 91000 | 3.3024 | 0.3945 |
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+ | 3.1426 | 9.9191 | 92000 | 3.3008 | 0.3946 |
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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:ff6658c9a4bb0ee6642edf2c4b8a47c4a706b4ab4fe561e3fd81c453345a9776
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:7bfc4416979e7c3a73d684941273d2711392a58105c7a92749255c5e6f92037e
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  size 503128704