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End of training

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1736
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  ## Model description
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@@ -52,65 +52,65 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:------:|:---------------:|
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- | 0.385 | 0.2000 | 3118 | 0.3658 |
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- | 0.3677 | 0.4001 | 6236 | 0.3462 |
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- | 0.3488 | 0.6001 | 9354 | 0.3319 |
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- | 0.3397 | 0.8002 | 12472 | 0.3314 |
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- | 0.3329 | 1.0002 | 15590 | 0.3191 |
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- | 0.3179 | 1.2002 | 18708 | 0.3041 |
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- | 0.3144 | 1.4003 | 21826 | 0.3035 |
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- | 0.3122 | 1.6003 | 24944 | 0.3001 |
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- | 0.3077 | 1.8003 | 28062 | 0.2952 |
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- | 0.3066 | 2.0004 | 31180 | 0.2924 |
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- | 0.2954 | 2.2004 | 34298 | 0.2844 |
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- | 0.2946 | 2.4005 | 37416 | 0.2869 |
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- | 0.2876 | 2.6005 | 40534 | 0.2851 |
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- | 0.2917 | 2.8005 | 43652 | 0.2793 |
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- | 0.284 | 3.0006 | 46770 | 0.2754 |
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- | 0.2752 | 3.2006 | 49888 | 0.2716 |
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- | 0.2728 | 3.4007 | 53006 | 0.2652 |
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- | 0.2783 | 3.6007 | 56124 | 0.2650 |
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- | 0.2794 | 3.8007 | 59242 | 0.2648 |
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- | 0.2763 | 4.0008 | 62360 | 0.2583 |
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- | 0.2635 | 4.2008 | 65478 | 0.2573 |
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- | 0.2579 | 4.4008 | 68596 | 0.2529 |
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- | 0.2592 | 4.6009 | 71714 | 0.2535 |
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- | 0.2566 | 4.8009 | 74832 | 0.2494 |
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- | 0.2536 | 5.0010 | 77950 | 0.2418 |
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- | 0.2465 | 5.2010 | 81068 | 0.2461 |
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- | 0.2434 | 5.4010 | 84186 | 0.2425 |
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- | 0.2421 | 5.6011 | 87304 | 0.2423 |
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- | 0.2418 | 5.8011 | 90422 | 0.2340 |
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- | 0.2375 | 6.0012 | 93540 | 0.2329 |
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- | 0.2278 | 6.2012 | 96658 | 0.2283 |
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- | 0.2294 | 6.4012 | 99776 | 0.2300 |
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- | 0.2228 | 6.6013 | 102894 | 0.2255 |
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- | 0.2252 | 6.8013 | 106012 | 0.2215 |
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- | 0.2219 | 7.0013 | 109130 | 0.2227 |
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- | 0.2122 | 7.2014 | 112248 | 0.2185 |
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- | 0.2066 | 7.4014 | 115366 | 0.2199 |
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- | 0.2101 | 7.6015 | 118484 | 0.2122 |
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- | 0.2099 | 7.8015 | 121602 | 0.2063 |
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- | 0.2057 | 8.0015 | 124720 | 0.2104 |
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- | 0.1935 | 8.2016 | 127838 | 0.2074 |
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- | 0.1964 | 8.4016 | 130956 | 0.2034 |
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- | 0.1927 | 8.6017 | 134074 | 0.1997 |
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- | 0.1914 | 8.8017 | 137192 | 0.1988 |
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- | 0.1874 | 9.0017 | 140310 | 0.1969 |
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- | 0.1811 | 9.2018 | 143428 | 0.1960 |
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- | 0.1781 | 9.4018 | 146546 | 0.1932 |
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- | 0.1761 | 9.6018 | 149664 | 0.1875 |
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- | 0.1739 | 9.8019 | 152782 | 0.1901 |
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- | 0.1813 | 10.0019 | 155900 | 0.1843 |
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- | 0.1591 | 10.2020 | 159018 | 0.1851 |
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- | 0.1618 | 10.4020 | 162136 | 0.1823 |
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- | 0.1599 | 10.6020 | 165254 | 0.1817 |
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- | 0.1588 | 10.8021 | 168372 | 0.1776 |
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- | 0.1577 | 11.0021 | 171490 | 0.1796 |
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- | 0.1453 | 11.2022 | 174608 | 0.1772 |
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- | 0.1446 | 11.4022 | 177726 | 0.1769 |
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- | 0.1423 | 11.6022 | 180844 | 0.1755 |
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- | 0.1438 | 11.8023 | 183962 | 0.1736 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1733
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:------:|:---------------:|
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+ | 0.3906 | 0.2000 | 3114 | 0.3862 |
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+ | 0.3635 | 0.4000 | 6228 | 0.3630 |
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+ | 0.3503 | 0.6000 | 9342 | 0.3475 |
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+ | 0.3403 | 0.8001 | 12456 | 0.3313 |
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+ | 0.3331 | 1.0001 | 15570 | 0.3307 |
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+ | 0.3239 | 1.2001 | 18684 | 0.3182 |
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+ | 0.3155 | 1.4001 | 21798 | 0.3090 |
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+ | 0.3143 | 1.6001 | 24912 | 0.3098 |
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+ | 0.3114 | 1.8001 | 28026 | 0.3078 |
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+ | 0.305 | 2.0001 | 31140 | 0.3037 |
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+ | 0.2934 | 2.2001 | 34254 | 0.2976 |
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+ | 0.2983 | 2.4002 | 37368 | 0.2936 |
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+ | 0.295 | 2.6002 | 40482 | 0.2963 |
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+ | 0.2932 | 2.8002 | 43596 | 0.2853 |
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+ | 0.2866 | 3.0002 | 46710 | 0.2792 |
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+ | 0.2784 | 3.2002 | 49824 | 0.2809 |
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+ | 0.276 | 3.4002 | 52938 | 0.2756 |
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+ | 0.2727 | 3.6002 | 56052 | 0.2685 |
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+ | 0.2704 | 3.8002 | 59166 | 0.2710 |
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+ | 0.2711 | 4.0003 | 62280 | 0.2679 |
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+ | 0.2601 | 4.2003 | 65394 | 0.2656 |
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+ | 0.2574 | 4.4003 | 68508 | 0.2620 |
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+ | 0.255 | 4.6003 | 71622 | 0.2549 |
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+ | 0.2555 | 4.8003 | 74736 | 0.2529 |
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+ | 0.2546 | 5.0003 | 77850 | 0.2499 |
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+ | 0.2437 | 5.2003 | 80964 | 0.2487 |
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+ | 0.2457 | 5.4003 | 84078 | 0.2448 |
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+ | 0.2424 | 5.6004 | 87192 | 0.2412 |
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+ | 0.236 | 5.8004 | 90306 | 0.2394 |
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+ | 0.2378 | 6.0004 | 93420 | 0.2389 |
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+ | 0.2286 | 6.2004 | 96534 | 0.2352 |
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+ | 0.2288 | 6.4004 | 99648 | 0.2333 |
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+ | 0.2276 | 6.6004 | 102762 | 0.2304 |
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+ | 0.2233 | 6.8004 | 105876 | 0.2292 |
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+ | 0.2247 | 7.0004 | 108990 | 0.2242 |
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+ | 0.212 | 7.2005 | 112104 | 0.2226 |
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+ | 0.2091 | 7.4005 | 115218 | 0.2231 |
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+ | 0.2113 | 7.6005 | 118332 | 0.2188 |
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+ | 0.2086 | 7.8005 | 121446 | 0.2154 |
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+ | 0.2045 | 8.0005 | 124560 | 0.2106 |
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+ | 0.1936 | 8.2005 | 127674 | 0.2120 |
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+ | 0.1942 | 8.4005 | 130788 | 0.2052 |
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+ | 0.194 | 8.6006 | 133902 | 0.2028 |
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+ | 0.1971 | 8.8006 | 137016 | 0.2020 |
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+ | 0.1878 | 9.0006 | 140130 | 0.1978 |
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+ | 0.1787 | 9.2006 | 143244 | 0.1972 |
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+ | 0.1788 | 9.4006 | 146358 | 0.1962 |
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+ | 0.1768 | 9.6006 | 149472 | 0.1920 |
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+ | 0.1741 | 9.8006 | 152586 | 0.1893 |
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+ | 0.172 | 10.0006 | 155700 | 0.1889 |
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+ | 0.1624 | 10.2007 | 158814 | 0.1881 |
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+ | 0.1624 | 10.4007 | 161928 | 0.1874 |
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+ | 0.1603 | 10.6007 | 165042 | 0.1828 |
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+ | 0.1578 | 10.8007 | 168156 | 0.1791 |
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+ | 0.1547 | 11.0007 | 171270 | 0.1796 |
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+ | 0.1482 | 11.2007 | 174384 | 0.1781 |
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+ | 0.1462 | 11.4007 | 177498 | 0.1764 |
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+ | 0.1404 | 11.6007 | 180612 | 0.1747 |
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+ | 0.1436 | 11.8008 | 183726 | 0.1733 |
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  ### Framework versions