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100M_low_0_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: 3.3076
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- - Accuracy: 0.3938
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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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- | 5.0938 | 0.1076 | 1000 | 5.0276 | 0.2263 |
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- | 4.5878 | 0.2153 | 2000 | 4.5172 | 0.2699 |
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- | 4.3159 | 0.3229 | 3000 | 4.2485 | 0.2972 |
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- | 4.1508 | 0.4305 | 4000 | 4.0979 | 0.3114 |
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- | 4.0837 | 0.5382 | 5000 | 3.9992 | 0.3200 |
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- | 3.9879 | 0.6458 | 6000 | 3.9278 | 0.3270 |
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- | 3.9299 | 0.7534 | 7000 | 3.8708 | 0.3328 |
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- | 3.8842 | 0.8610 | 8000 | 3.8253 | 0.3366 |
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- | 3.8386 | 0.9687 | 9000 | 3.7883 | 0.3398 |
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- | 3.7785 | 1.0763 | 10000 | 3.7527 | 0.3439 |
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- | 3.748 | 1.1839 | 11000 | 3.7282 | 0.3460 |
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- | 3.7604 | 1.2916 | 12000 | 3.7017 | 0.3489 |
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- | 3.7174 | 1.3992 | 13000 | 3.6826 | 0.3508 |
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- | 3.6922 | 1.5068 | 14000 | 3.6653 | 0.3528 |
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- | 3.6811 | 1.6145 | 15000 | 3.6462 | 0.3544 |
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- | 3.6861 | 1.7221 | 16000 | 3.6250 | 0.3569 |
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- | 3.6621 | 1.8297 | 17000 | 3.6100 | 0.3580 |
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- | 3.6516 | 1.9374 | 18000 | 3.5976 | 0.3590 |
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- | 3.5667 | 2.0450 | 19000 | 3.5886 | 0.3610 |
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- | 3.5658 | 2.1526 | 20000 | 3.5798 | 0.3618 |
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- | 3.5641 | 2.2603 | 21000 | 3.5675 | 0.3630 |
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- | 3.5568 | 2.3679 | 22000 | 3.5542 | 0.3644 |
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- | 3.5627 | 2.4755 | 23000 | 3.5467 | 0.3652 |
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- | 3.5468 | 2.5831 | 24000 | 3.5350 | 0.3664 |
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- | 3.5419 | 2.6908 | 25000 | 3.5292 | 0.3670 |
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- | 3.5478 | 2.7984 | 26000 | 3.5168 | 0.3682 |
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- | 3.5405 | 2.9060 | 27000 | 3.5094 | 0.3687 |
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- | 3.4418 | 3.0137 | 28000 | 3.5047 | 0.3697 |
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- | 3.4607 | 3.1213 | 29000 | 3.4997 | 0.3706 |
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- | 3.4689 | 3.2289 | 30000 | 3.4951 | 0.3708 |
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- | 3.4682 | 3.3366 | 31000 | 3.4894 | 0.3714 |
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- | 3.4731 | 3.4442 | 32000 | 3.4811 | 0.3724 |
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- | 3.4811 | 3.5518 | 33000 | 3.4742 | 0.3729 |
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- | 3.4847 | 3.6595 | 34000 | 3.4701 | 0.3738 |
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- | 3.4697 | 3.7671 | 35000 | 3.4620 | 0.3742 |
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- | 3.4352 | 3.8747 | 36000 | 3.4564 | 0.3753 |
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- | 3.4524 | 3.9823 | 37000 | 3.4500 | 0.3758 |
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- | 3.3825 | 4.0900 | 38000 | 3.4540 | 0.3757 |
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- | 3.3814 | 4.1976 | 39000 | 3.4510 | 0.3761 |
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- | 3.3748 | 4.3052 | 40000 | 3.4457 | 0.3766 |
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- | 3.4025 | 4.4129 | 41000 | 3.4401 | 0.3771 |
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- | 3.4143 | 4.5205 | 42000 | 3.4336 | 0.3778 |
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- | 3.383 | 4.6281 | 43000 | 3.4310 | 0.3783 |
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- | 3.4011 | 4.7358 | 44000 | 3.4252 | 0.3786 |
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- | 3.3797 | 4.8434 | 45000 | 3.4182 | 0.3793 |
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- | 3.4029 | 4.9510 | 46000 | 3.4149 | 0.3799 |
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- | 3.3309 | 5.0587 | 47000 | 3.4179 | 0.3797 |
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- | 3.33 | 5.1663 | 48000 | 3.4172 | 0.3804 |
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- | 3.334 | 5.2739 | 49000 | 3.4123 | 0.3808 |
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- | 3.3359 | 5.3816 | 50000 | 3.4071 | 0.3811 |
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- | 3.3324 | 5.4892 | 51000 | 3.4023 | 0.3818 |
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- | 3.3505 | 5.5968 | 52000 | 3.3990 | 0.3822 |
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- | 3.3439 | 5.7044 | 53000 | 3.3959 | 0.3825 |
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- | 3.3471 | 5.8121 | 54000 | 3.3908 | 0.3830 |
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- | 3.3394 | 5.9197 | 55000 | 3.3855 | 0.3835 |
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- | 3.2478 | 6.0273 | 56000 | 3.3890 | 0.3834 |
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- | 3.2706 | 6.1350 | 57000 | 3.3892 | 0.3839 |
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- | 3.2703 | 6.2426 | 58000 | 3.3869 | 0.3841 |
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- | 3.2757 | 6.3502 | 59000 | 3.3814 | 0.3844 |
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- | 3.2957 | 6.4579 | 60000 | 3.3789 | 0.3849 |
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- | 3.2904 | 6.5655 | 61000 | 3.3737 | 0.3855 |
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- | 3.2969 | 6.6731 | 62000 | 3.3698 | 0.3857 |
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- | 3.3017 | 6.7808 | 63000 | 3.3679 | 0.3859 |
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- | 3.2973 | 6.8884 | 64000 | 3.3620 | 0.3865 |
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- | 3.3034 | 6.9960 | 65000 | 3.3578 | 0.3871 |
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- | 3.2471 | 7.1036 | 66000 | 3.3641 | 0.3868 |
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- | 3.2302 | 7.2113 | 67000 | 3.3626 | 0.3871 |
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- | 3.2508 | 7.3189 | 68000 | 3.3583 | 0.3873 |
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- | 3.2397 | 7.4265 | 69000 | 3.3532 | 0.3877 |
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- | 3.245 | 7.5342 | 70000 | 3.3511 | 0.3881 |
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- | 3.2489 | 7.6418 | 71000 | 3.3472 | 0.3886 |
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- | 3.2365 | 7.7494 | 72000 | 3.3435 | 0.3889 |
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- | 3.257 | 7.8571 | 73000 | 3.3379 | 0.3893 |
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- | 3.2408 | 7.9647 | 74000 | 3.3351 | 0.3897 |
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- | 3.1993 | 8.0723 | 75000 | 3.3405 | 0.3897 |
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- | 3.1666 | 8.1800 | 76000 | 3.3397 | 0.3900 |
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- | 3.1768 | 8.2876 | 77000 | 3.3360 | 0.3901 |
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- | 3.1937 | 8.3952 | 78000 | 3.3331 | 0.3905 |
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- | 3.1784 | 8.5029 | 79000 | 3.3295 | 0.3909 |
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- | 3.1774 | 8.6105 | 80000 | 3.3267 | 0.3912 |
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- | 3.1895 | 8.7181 | 81000 | 3.3245 | 0.3916 |
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- | 3.1749 | 8.8257 | 82000 | 3.3207 | 0.3919 |
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- | 3.1778 | 8.9334 | 83000 | 3.3166 | 0.3924 |
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- | 3.1312 | 9.0410 | 84000 | 3.3195 | 0.3921 |
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- | 3.1279 | 9.1486 | 85000 | 3.3193 | 0.3925 |
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- | 3.1351 | 9.2563 | 86000 | 3.3168 | 0.3926 |
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- | 3.1305 | 9.3639 | 87000 | 3.3144 | 0.3930 |
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- | 3.1363 | 9.4715 | 88000 | 3.3123 | 0.3933 |
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- | 3.1362 | 9.5792 | 89000 | 3.3100 | 0.3936 |
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- | 3.1398 | 9.6868 | 90000 | 3.3075 | 0.3937 |
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- | 3.1428 | 9.7944 | 91000 | 3.3054 | 0.3940 |
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- | 3.1449 | 9.9021 | 92000 | 3.3039 | 0.3942 |
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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: 3.2988
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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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+ | 5.1078 | 0.1078 | 1000 | 5.0304 | 0.2264 |
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+ | 4.5995 | 0.2156 | 2000 | 4.5246 | 0.2686 |
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+ | 4.3174 | 0.3235 | 3000 | 4.2488 | 0.2974 |
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+ | 4.1637 | 0.4313 | 4000 | 4.0907 | 0.3129 |
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+ | 4.0486 | 0.5391 | 5000 | 3.9937 | 0.3217 |
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+ | 3.9956 | 0.6469 | 6000 | 3.9186 | 0.3286 |
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+ | 3.9207 | 0.7547 | 7000 | 3.8626 | 0.3335 |
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+ | 3.8539 | 0.8625 | 8000 | 3.8160 | 0.3382 |
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+ | 3.8524 | 0.9704 | 9000 | 3.7776 | 0.3415 |
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+ | 3.7603 | 1.0782 | 10000 | 3.7460 | 0.3449 |
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+ | 3.7696 | 1.1860 | 11000 | 3.7198 | 0.3481 |
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+ | 3.7292 | 1.2938 | 12000 | 3.6961 | 0.3499 |
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+ | 3.7046 | 1.4016 | 13000 | 3.6707 | 0.3525 |
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+ | 3.7009 | 1.5094 | 14000 | 3.6542 | 0.3539 |
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+ | 3.662 | 1.6173 | 15000 | 3.6342 | 0.3564 |
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+ | 3.6631 | 1.7251 | 16000 | 3.6166 | 0.3580 |
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+ | 3.6354 | 1.8329 | 17000 | 3.6021 | 0.3595 |
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+ | 3.6282 | 1.9407 | 18000 | 3.5887 | 0.3604 |
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+ | 3.5657 | 2.0485 | 19000 | 3.5785 | 0.3624 |
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+ | 3.5735 | 2.1563 | 20000 | 3.5703 | 0.3630 |
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+ | 3.5611 | 2.2642 | 21000 | 3.5583 | 0.3643 |
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+ | 3.5686 | 2.3720 | 22000 | 3.5493 | 0.3651 |
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+ | 3.5384 | 2.4798 | 23000 | 3.5374 | 0.3664 |
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+ | 3.5299 | 2.5876 | 24000 | 3.5319 | 0.3674 |
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+ | 3.5265 | 2.6954 | 25000 | 3.5189 | 0.3682 |
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+ | 3.5317 | 2.8032 | 26000 | 3.5106 | 0.3688 |
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+ | 3.5425 | 2.9111 | 27000 | 3.5025 | 0.3700 |
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+ | 3.4426 | 3.0189 | 28000 | 3.4996 | 0.3705 |
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+ | 3.4284 | 3.1267 | 29000 | 3.4957 | 0.3713 |
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+ | 3.4495 | 3.2345 | 30000 | 3.4891 | 0.3717 |
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+ | 3.4564 | 3.3423 | 31000 | 3.4809 | 0.3727 |
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+ | 3.4567 | 3.4501 | 32000 | 3.4725 | 0.3736 |
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+ | 3.46 | 3.5580 | 33000 | 3.4683 | 0.3743 |
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+ | 3.4564 | 3.6658 | 34000 | 3.4624 | 0.3743 |
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+ | 3.4591 | 3.7736 | 35000 | 3.4549 | 0.3756 |
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+ | 3.4486 | 3.8814 | 36000 | 3.4496 | 0.3757 |
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+ | 3.4475 | 3.9892 | 37000 | 3.4443 | 0.3763 |
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+ | 3.3636 | 4.0970 | 38000 | 3.4486 | 0.3766 |
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+ | 3.3625 | 4.2049 | 39000 | 3.4442 | 0.3774 |
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+ | 3.387 | 4.3127 | 40000 | 3.4392 | 0.3777 |
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+ | 3.3926 | 4.4205 | 41000 | 3.4297 | 0.3787 |
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+ | 3.3848 | 4.5283 | 42000 | 3.4275 | 0.3789 |
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+ | 3.3933 | 4.6361 | 43000 | 3.4213 | 0.3792 |
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+ | 3.3847 | 4.7439 | 44000 | 3.4172 | 0.3798 |
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+ | 3.4026 | 4.8518 | 45000 | 3.4112 | 0.3805 |
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+ | 3.3689 | 4.9596 | 46000 | 3.4077 | 0.3810 |
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+ | 3.3134 | 5.0674 | 47000 | 3.4093 | 0.3812 |
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+ | 3.3106 | 5.1752 | 48000 | 3.4112 | 0.3815 |
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+ | 3.3406 | 5.2830 | 49000 | 3.4042 | 0.3820 |
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+ | 3.34 | 5.3908 | 50000 | 3.4001 | 0.3824 |
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+ | 3.3413 | 5.4987 | 51000 | 3.3957 | 0.3825 |
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+ | 3.3155 | 5.6065 | 52000 | 3.3912 | 0.3829 |
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+ | 3.3313 | 5.7143 | 53000 | 3.3849 | 0.3836 |
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+ | 3.328 | 5.8221 | 54000 | 3.3817 | 0.3839 |
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+ | 3.3325 | 5.9299 | 55000 | 3.3775 | 0.3844 |
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+ | 3.2329 | 6.0377 | 56000 | 3.3816 | 0.3842 |
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+ | 3.2547 | 6.1456 | 57000 | 3.3824 | 0.3844 |
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+ | 3.2733 | 6.2534 | 58000 | 3.3765 | 0.3851 |
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+ | 3.2854 | 6.3612 | 59000 | 3.3735 | 0.3854 |
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+ | 3.2856 | 6.4690 | 60000 | 3.3704 | 0.3860 |
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+ | 3.2795 | 6.5768 | 61000 | 3.3660 | 0.3864 |
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+ | 3.2985 | 6.6846 | 62000 | 3.3598 | 0.3867 |
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+ | 3.2752 | 6.7925 | 63000 | 3.3578 | 0.3870 |
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+ | 3.2846 | 6.9003 | 64000 | 3.3533 | 0.3875 |
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+ | 3.1807 | 7.0081 | 65000 | 3.3562 | 0.3874 |
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+ | 3.2226 | 7.1159 | 66000 | 3.3597 | 0.3876 |
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+ | 3.227 | 7.2237 | 67000 | 3.3550 | 0.3881 |
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+ | 3.2267 | 7.3315 | 68000 | 3.3537 | 0.3881 |
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+ | 3.2181 | 7.4394 | 69000 | 3.3476 | 0.3885 |
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+ | 3.222 | 7.5472 | 70000 | 3.3459 | 0.3887 |
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+ | 3.2481 | 7.6550 | 71000 | 3.3410 | 0.3893 |
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+ | 3.2505 | 7.7628 | 72000 | 3.3384 | 0.3898 |
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+ | 3.2298 | 7.8706 | 73000 | 3.3321 | 0.3902 |
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+ | 3.2516 | 7.9784 | 74000 | 3.3289 | 0.3906 |
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+ | 3.1544 | 8.0863 | 75000 | 3.3352 | 0.3906 |
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+ | 3.1557 | 8.1941 | 76000 | 3.3315 | 0.3906 |
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+ | 3.1746 | 8.3019 | 77000 | 3.3305 | 0.3910 |
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+ | 3.1669 | 8.4097 | 78000 | 3.3285 | 0.3912 |
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+ | 3.1791 | 8.5175 | 79000 | 3.3233 | 0.3916 |
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+ | 3.1948 | 8.6253 | 80000 | 3.3208 | 0.3920 |
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+ | 3.1885 | 8.7332 | 81000 | 3.3178 | 0.3924 |
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+ | 3.1804 | 8.8410 | 82000 | 3.3149 | 0.3925 |
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+ | 3.1636 | 8.9488 | 83000 | 3.3102 | 0.3931 |
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+ | 3.1283 | 9.0566 | 84000 | 3.3140 | 0.3929 |
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+ | 3.1189 | 9.1644 | 85000 | 3.3135 | 0.3930 |
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+ | 3.143 | 9.2722 | 86000 | 3.3111 | 0.3935 |
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+ | 3.1225 | 9.3801 | 87000 | 3.3093 | 0.3936 |
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+ | 3.1294 | 9.4879 | 88000 | 3.3071 | 0.3938 |
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+ | 3.1096 | 9.5957 | 89000 | 3.3041 | 0.3942 |
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+ | 3.1358 | 9.7035 | 90000 | 3.3024 | 0.3945 |
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+ | 3.1259 | 9.8113 | 91000 | 3.2999 | 0.3947 |
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+ | 3.1184 | 9.9191 | 92000 | 3.2988 | 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 sha256:76e8fbed20bc3e8153363ff74f4a1591bc8a91d773a253e431468ffb22f0fac8
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:4dc69e3ab63a50491db76f9ba53f1af7aa5266ab4738084770b9ee2ebb549c4b
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  size 503128704