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lge_tests_prelim

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Safetensors
nanogpt
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  1. README.md +81 -81
  2. config.json +2 -2
  3. model.safetensors +2 -2
  4. training_args.bin +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: 0.1683
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- - Accuracy: 0.82
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  ## Model description
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@@ -49,85 +49,85 @@ 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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- | No log | 0 | 0 | 2.6169 | 0.0 |
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- | 1.6014 | 0.0128 | 100 | 1.5596 | 0.0 |
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- | 1.5621 | 0.0256 | 200 | 1.5474 | 0.0 |
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- | 1.473 | 0.0384 | 300 | 1.4950 | 0.0 |
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- | 1.0233 | 0.0512 | 400 | 1.0690 | 0.075 |
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- | 0.3934 | 0.0640 | 500 | 0.5094 | 0.5 |
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- | 0.587 | 0.0768 | 600 | 0.5615 | 0.375 |
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- | 0.3837 | 0.0896 | 700 | 0.4922 | 0.59 |
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- | 0.376 | 0.1024 | 800 | 0.4058 | 0.645 |
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- | 0.455 | 0.1152 | 900 | 0.3661 | 0.76 |
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- | 0.4562 | 0.1280 | 1000 | 0.3777 | 0.635 |
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- | 0.2314 | 0.1408 | 1100 | 0.3058 | 0.785 |
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- | 0.6504 | 0.1536 | 1200 | 0.3527 | 0.72 |
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- | 0.4729 | 0.1665 | 1300 | 0.6792 | 0.395 |
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- | 0.3412 | 0.1793 | 1400 | 0.3194 | 0.775 |
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- | 0.4038 | 0.1921 | 1500 | 0.4074 | 0.645 |
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- | 0.3973 | 0.2049 | 1600 | 0.3489 | 0.77 |
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- | 0.4487 | 0.2177 | 1700 | 0.3055 | 0.79 |
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- | 0.3079 | 0.2305 | 1800 | 0.3047 | 0.81 |
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- | 0.3932 | 0.2433 | 1900 | 0.3322 | 0.735 |
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- | 0.5617 | 0.2561 | 2000 | 0.4301 | 0.615 |
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- | 0.588 | 0.2689 | 2100 | 0.4464 | 0.585 |
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- | 0.2426 | 0.2817 | 2200 | 0.2919 | 0.815 |
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- | 0.4484 | 0.2945 | 2300 | 0.3360 | 0.795 |
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- | 0.3399 | 0.3073 | 2400 | 0.3569 | 0.755 |
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- | 0.182 | 0.3201 | 2500 | 0.3048 | 0.79 |
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- | 0.2704 | 0.3329 | 2600 | 0.3224 | 0.75 |
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- | 0.3972 | 0.3457 | 2700 | 0.2751 | 0.815 |
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- | 0.3842 | 0.3585 | 2800 | 0.2936 | 0.79 |
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- | 0.2323 | 0.3713 | 2900 | 0.2895 | 0.76 |
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- | 0.2711 | 0.3841 | 3000 | 0.3073 | 0.78 |
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- | 0.4402 | 0.3969 | 3100 | 0.4514 | 0.65 |
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- | 0.3037 | 0.4097 | 3200 | 0.2986 | 0.775 |
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- | 0.2244 | 0.4225 | 3300 | 0.2810 | 0.755 |
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- | 0.3728 | 0.4353 | 3400 | 0.4621 | 0.615 |
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- | 0.3927 | 0.4481 | 3500 | 0.4407 | 0.585 |
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- | 0.3207 | 0.4609 | 3600 | 0.3104 | 0.765 |
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- | 0.1441 | 0.4738 | 3700 | 0.2570 | 0.805 |
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- | 0.3894 | 0.4866 | 3800 | 0.2745 | 0.74 |
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- | 0.1879 | 0.4994 | 3900 | 0.2391 | 0.81 |
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- | 0.1923 | 0.5122 | 4000 | 0.2407 | 0.785 |
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- | 0.2663 | 0.5250 | 4100 | 0.2757 | 0.77 |
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- | 0.3024 | 0.5378 | 4200 | 0.2855 | 0.75 |
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- | 0.4844 | 0.5506 | 4300 | 0.4087 | 0.54 |
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- | 0.2889 | 0.5634 | 4400 | 0.2994 | 0.675 |
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- | 0.3159 | 0.5762 | 4500 | 0.2682 | 0.75 |
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- | 0.1506 | 0.5890 | 4600 | 0.2356 | 0.785 |
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- | 0.1468 | 0.6018 | 4700 | 0.2175 | 0.805 |
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- | 0.2704 | 0.6146 | 4800 | 0.2180 | 0.785 |
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- | 0.2008 | 0.6274 | 4900 | 0.2341 | 0.785 |
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- | 0.2038 | 0.6402 | 5000 | 0.2490 | 0.765 |
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- | 0.1946 | 0.6530 | 5100 | 0.2232 | 0.81 |
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- | 0.1762 | 0.6658 | 5200 | 0.2150 | 0.805 |
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- | 0.1857 | 0.6786 | 5300 | 0.1878 | 0.815 |
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- | 0.1379 | 0.6914 | 5400 | 0.1841 | 0.815 |
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- | 0.2637 | 0.7042 | 5500 | 0.1939 | 0.82 |
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- | 0.2117 | 0.7170 | 5600 | 0.1981 | 0.81 |
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- | 0.2847 | 0.7298 | 5700 | 0.1896 | 0.8 |
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- | 0.1545 | 0.7426 | 5800 | 0.1909 | 0.8 |
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- | 0.2638 | 0.7554 | 5900 | 0.1953 | 0.805 |
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- | 0.1393 | 0.7682 | 6000 | 0.1827 | 0.815 |
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- | 0.2409 | 0.7810 | 6100 | 0.1782 | 0.81 |
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- | 0.1625 | 0.7939 | 6200 | 0.1797 | 0.81 |
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- | 0.2336 | 0.8067 | 6300 | 0.1749 | 0.82 |
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- | 0.1545 | 0.8195 | 6400 | 0.1781 | 0.82 |
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- | 0.144 | 0.8323 | 6500 | 0.1710 | 0.82 |
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- | 0.1765 | 0.8451 | 6600 | 0.1712 | 0.825 |
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- | 0.2032 | 0.8579 | 6700 | 0.1722 | 0.815 |
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- | 0.298 | 0.8707 | 6800 | 0.1726 | 0.825 |
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- | 0.1353 | 0.8835 | 6900 | 0.1701 | 0.82 |
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- | 0.1949 | 0.8963 | 7000 | 0.1690 | 0.82 |
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- | 0.1645 | 0.9091 | 7100 | 0.1706 | 0.825 |
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- | 0.1784 | 0.9219 | 7200 | 0.1691 | 0.825 |
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- | 0.2072 | 0.9347 | 7300 | 0.1675 | 0.82 |
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- | 0.1874 | 0.9475 | 7400 | 0.1678 | 0.82 |
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- | 0.0968 | 0.9603 | 7500 | 0.1679 | 0.82 |
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- | 0.1159 | 0.9731 | 7600 | 0.1683 | 0.82 |
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- | 0.2488 | 0.9859 | 7700 | 0.1683 | 0.82 |
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- | 0.1224 | 0.9987 | 7800 | 0.1683 | 0.82 |
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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: 0.9923
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+ - Accuracy: 0.01
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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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+ | No log | 0 | 0 | 2.6059 | 0.0 |
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+ | 1.8278 | 0.0128 | 100 | 1.7932 | 0.0 |
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+ | 1.7081 | 0.0256 | 200 | 1.5708 | 0.0 |
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+ | 1.6759 | 0.0384 | 300 | 1.5720 | 0.0 |
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+ | 1.6075 | 0.0512 | 400 | 1.5532 | 0.0 |
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+ | 1.5364 | 0.0640 | 500 | 1.5670 | 0.0 |
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+ | 1.5597 | 0.0768 | 600 | 1.8279 | 0.0 |
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+ | 1.563 | 0.0896 | 700 | 1.5791 | 0.0 |
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+ | 1.5814 | 0.1024 | 800 | 1.5498 | 0.0 |
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+ | 1.5705 | 0.1152 | 900 | 1.6980 | 0.005 |
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+ | 1.6682 | 0.1280 | 1000 | 1.5166 | 0.005 |
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+ | 1.5143 | 0.1408 | 1100 | 1.4964 | 0.005 |
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+ | 1.6411 | 0.1536 | 1200 | 1.6380 | 0.0 |
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+ | 1.4106 | 0.1665 | 1300 | 1.4373 | 0.0 |
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+ | 1.4435 | 0.1793 | 1400 | 1.4208 | 0.0 |
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+ | 1.3563 | 0.1921 | 1500 | 1.3553 | 0.01 |
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+ | 1.5197 | 0.2049 | 1600 | 1.3802 | 0.0 |
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+ | 1.3383 | 0.2177 | 1700 | 1.4022 | 0.015 |
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+ | 1.4566 | 0.2305 | 1800 | 1.3946 | 0.005 |
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+ | 1.4017 | 0.2433 | 1900 | 1.2900 | 0.01 |
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+ | 1.3362 | 0.2561 | 2000 | 1.2311 | 0.01 |
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+ | 1.3351 | 0.2689 | 2100 | 1.2454 | 0.0 |
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+ | 1.2865 | 0.2817 | 2200 | 1.2590 | 0.015 |
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+ | 1.2604 | 0.2945 | 2300 | 1.3772 | 0.0 |
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+ | 1.1938 | 0.3073 | 2400 | 1.2460 | 0.01 |
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+ | 1.2565 | 0.3201 | 2500 | 1.2472 | 0.005 |
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+ | 1.2699 | 0.3329 | 2600 | 1.2403 | 0.005 |
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+ | 1.2426 | 0.3457 | 2700 | 1.2033 | 0.01 |
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+ | 1.2837 | 0.3585 | 2800 | 1.2875 | 0.005 |
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+ | 1.1576 | 0.3713 | 2900 | 1.1139 | 0.02 |
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+ | 1.0833 | 0.3841 | 3000 | 1.0916 | 0.005 |
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+ | 1.5792 | 0.3969 | 3100 | 1.4673 | 0.0 |
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+ | 1.126 | 0.4097 | 3200 | 1.1218 | 0.01 |
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+ | 1.0863 | 0.4225 | 3300 | 1.1320 | 0.005 |
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+ | 1.2114 | 0.4353 | 3400 | 1.1407 | 0.015 |
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+ | 1.0692 | 0.4481 | 3500 | 1.1358 | 0.015 |
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+ | 1.1152 | 0.4609 | 3600 | 1.1082 | 0.015 |
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+ | 1.0694 | 0.4738 | 3700 | 1.0660 | 0.0 |
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+ | 1.47 | 0.4866 | 3800 | 1.3020 | 0.01 |
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+ | 1.1635 | 0.4994 | 3900 | 1.2220 | 0.015 |
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+ | 1.1865 | 0.5122 | 4000 | 1.1467 | 0.015 |
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+ | 1.1335 | 0.5250 | 4100 | 1.1848 | 0.005 |
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+ | 1.1344 | 0.5378 | 4200 | 1.1356 | 0.005 |
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+ | 1.1269 | 0.5506 | 4300 | 1.1379 | 0.02 |
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+ | 1.0876 | 0.5634 | 4400 | 1.0848 | 0.0 |
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+ | 1.074 | 0.5762 | 4500 | 1.0773 | 0.02 |
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+ | 1.072 | 0.5890 | 4600 | 1.0582 | 0.015 |
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+ | 1.0732 | 0.6018 | 4700 | 1.0603 | 0.03 |
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+ | 1.0233 | 0.6146 | 4800 | 1.0335 | 0.03 |
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+ | 1.0141 | 0.6274 | 4900 | 1.0213 | 0.02 |
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+ | 1.0156 | 0.6402 | 5000 | 1.0254 | 0.005 |
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+ | 1.0286 | 0.6530 | 5100 | 1.0372 | 0.005 |
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+ | 1.0244 | 0.6658 | 5200 | 1.0199 | 0.025 |
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+ | 1.0561 | 0.6786 | 5300 | 1.0206 | 0.01 |
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+ | 1.0174 | 0.6914 | 5400 | 1.0212 | 0.03 |
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+ | 1.027 | 0.7042 | 5500 | 1.0118 | 0.03 |
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+ | 1.0238 | 0.7170 | 5600 | 1.0151 | 0.015 |
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+ | 1.0486 | 0.7298 | 5700 | 1.0128 | 0.025 |
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+ | 1.0276 | 0.7426 | 5800 | 1.0117 | 0.02 |
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+ | 1.0212 | 0.7554 | 5900 | 1.0146 | 0.01 |
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+ | 1.0253 | 0.7682 | 6000 | 1.0123 | 0.005 |
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+ | 1.0032 | 0.7810 | 6100 | 1.0047 | 0.015 |
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+ | 1.025 | 0.7939 | 6200 | 1.0070 | 0.02 |
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+ | 1.0113 | 0.8067 | 6300 | 1.0010 | 0.035 |
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+ | 1.0118 | 0.8195 | 6400 | 0.9992 | 0.03 |
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+ | 1.0029 | 0.8323 | 6500 | 1.0026 | 0.005 |
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+ | 1.0055 | 0.8451 | 6600 | 1.0011 | 0.0 |
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+ | 1.0269 | 0.8579 | 6700 | 0.9993 | 0.01 |
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+ | 1.0216 | 0.8707 | 6800 | 0.9979 | 0.015 |
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+ | 1.018 | 0.8835 | 6900 | 0.9991 | 0.0 |
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+ | 1.0099 | 0.8963 | 7000 | 0.9974 | 0.02 |
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+ | 1.0254 | 0.9091 | 7100 | 0.9960 | 0.01 |
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+ | 0.998 | 0.9219 | 7200 | 0.9938 | 0.025 |
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+ | 1.0072 | 0.9347 | 7300 | 0.9929 | 0.015 |
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+ | 1.0181 | 0.9475 | 7400 | 0.9921 | 0.01 |
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+ | 1.0103 | 0.9603 | 7500 | 0.9929 | 0.005 |
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+ | 0.9939 | 0.9731 | 7600 | 0.9923 | 0.01 |
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+ | 1.0 | 0.9859 | 7700 | 0.9922 | 0.01 |
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+ | 1.0301 | 0.9987 | 7800 | 0.9923 | 0.01 |
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  ### Framework versions
config.json CHANGED
@@ -9,10 +9,10 @@
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  "n_embd": 384,
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  "n_head": 6,
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  "n_layer": 6,
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- "nonlinearity": "GELU",
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  "torch_dtype": "float32",
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  "transformers_version": "4.46.0",
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- "use_NoPE": false,
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  "use_layernorm": true,
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  "vocab_size": 14
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  }
 
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  "n_embd": 384,
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  "n_head": 6,
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  "n_layer": 6,
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+ "nonlinearity": "RELU",
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  "torch_dtype": "float32",
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  "transformers_version": "4.46.0",
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+ "use_NoPE": true,
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  "use_layernorm": true,
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  "vocab_size": 14
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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- size 43034048
 
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@@ -1,3 +1,3 @@
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