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End of training

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  1. README.md +60 -60
  2. adapter_model.safetensors +2 -2
  3. loss_plot.png +0 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -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: 0.1620
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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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- | 0.4455 | 0.2002 | 721 | 0.3234 |
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- | 0.3298 | 0.4003 | 1442 | 0.2983 |
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- | 0.2882 | 0.6005 | 2163 | 0.2751 |
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- | 0.279 | 0.8007 | 2884 | 0.2731 |
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- | 0.2666 | 1.0008 | 3605 | 0.2549 |
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- | 0.2514 | 1.2010 | 4326 | 0.2510 |
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- | 0.2473 | 1.4012 | 5047 | 0.2483 |
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- | 0.2414 | 1.6013 | 5768 | 0.2416 |
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- | 0.2392 | 1.8015 | 6489 | 0.2338 |
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- | 0.2344 | 2.0017 | 7210 | 0.2286 |
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- | 0.2249 | 2.2018 | 7931 | 0.2262 |
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- | 0.224 | 2.4020 | 8652 | 0.2282 |
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- | 0.2187 | 2.6022 | 9373 | 0.2221 |
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- | 0.2177 | 2.8023 | 10094 | 0.2160 |
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- | 0.2143 | 3.0025 | 10815 | 0.2136 |
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- | 0.2044 | 3.2027 | 11536 | 0.2131 |
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- | 0.2015 | 3.4028 | 12257 | 0.2073 |
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- | 0.2011 | 3.6030 | 12978 | 0.2110 |
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- | 0.1995 | 3.8032 | 13699 | 0.2024 |
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- | 0.1987 | 4.0033 | 14420 | 0.2046 |
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- | 0.187 | 4.2035 | 15141 | 0.2017 |
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- | 0.1858 | 4.4037 | 15862 | 0.1998 |
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- | 0.1859 | 4.6038 | 16583 | 0.1967 |
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- | 0.1859 | 4.8040 | 17304 | 0.1975 |
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- | 0.1851 | 5.0042 | 18025 | 0.1986 |
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- | 0.1708 | 5.2043 | 18746 | 0.1932 |
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- | 0.1723 | 5.4045 | 19467 | 0.1874 |
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- | 0.1708 | 5.6047 | 20188 | 0.1921 |
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- | 0.1727 | 5.8048 | 20909 | 0.1852 |
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- | 0.1709 | 6.0050 | 21630 | 0.1836 |
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- | 0.1594 | 6.2052 | 22351 | 0.1884 |
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- | 0.1589 | 6.4053 | 23072 | 0.1809 |
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- | 0.1576 | 6.6055 | 23793 | 0.1775 |
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- | 0.1585 | 6.8057 | 24514 | 0.1792 |
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- | 0.1558 | 7.0058 | 25235 | 0.1747 |
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- | 0.1488 | 7.2060 | 25956 | 0.1727 |
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- | 0.1464 | 7.4062 | 26677 | 0.1730 |
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- | 0.1451 | 7.6063 | 27398 | 0.1713 |
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- | 0.1432 | 7.8065 | 28119 | 0.1728 |
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- | 0.1431 | 8.0067 | 28840 | 0.1742 |
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- | 0.1307 | 8.2068 | 29561 | 0.1686 |
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- | 0.1315 | 8.4070 | 30282 | 0.1660 |
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- | 0.1308 | 8.6072 | 31003 | 0.1652 |
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- | 0.1308 | 8.8073 | 31724 | 0.1646 |
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- | 0.1305 | 9.0075 | 32445 | 0.1673 |
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- | 0.117 | 9.2077 | 33166 | 0.1676 |
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- | 0.1163 | 9.4078 | 33887 | 0.1640 |
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- | 0.1179 | 9.6080 | 34608 | 0.1595 |
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- | 0.1167 | 9.8082 | 35329 | 0.1601 |
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- | 0.1175 | 10.0083 | 36050 | 0.1644 |
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- | 0.1032 | 10.2085 | 36771 | 0.1647 |
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- | 0.103 | 10.4087 | 37492 | 0.1598 |
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- | 0.1039 | 10.6088 | 38213 | 0.1613 |
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- | 0.1042 | 10.8090 | 38934 | 0.1584 |
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- | 0.1022 | 11.0092 | 39655 | 0.1607 |
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- | 0.0948 | 11.2093 | 40376 | 0.1620 |
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- | 0.0925 | 11.4095 | 41097 | 0.1628 |
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- | 0.093 | 11.6097 | 41818 | 0.1623 |
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- | 0.0926 | 11.8098 | 42539 | 0.1620 |
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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: 0.1670
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.4274 | 0.2002 | 721 | 0.3223 |
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+ | 0.3241 | 0.4003 | 1442 | 0.2921 |
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+ | 0.2842 | 0.6005 | 2163 | 0.2797 |
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+ | 0.2777 | 0.8007 | 2884 | 0.2683 |
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+ | 0.2625 | 1.0008 | 3605 | 0.2475 |
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+ | 0.2482 | 1.2010 | 4326 | 0.2520 |
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+ | 0.246 | 1.4012 | 5047 | 0.2444 |
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+ | 0.2384 | 1.6013 | 5768 | 0.2386 |
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+ | 0.235 | 1.8015 | 6489 | 0.2374 |
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+ | 0.2321 | 2.0017 | 7210 | 0.2268 |
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+ | 0.2214 | 2.2018 | 7931 | 0.2185 |
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+ | 0.2202 | 2.4020 | 8652 | 0.2244 |
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+ | 0.2173 | 2.6022 | 9373 | 0.2196 |
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+ | 0.2157 | 2.8023 | 10094 | 0.2204 |
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+ | 0.2132 | 3.0025 | 10815 | 0.2144 |
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+ | 0.2008 | 3.2027 | 11536 | 0.2107 |
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+ | 0.1998 | 3.4028 | 12257 | 0.2060 |
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+ | 0.1988 | 3.6030 | 12978 | 0.2052 |
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+ | 0.197 | 3.8032 | 13699 | 0.2057 |
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+ | 0.1966 | 4.0033 | 14420 | 0.2042 |
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+ | 0.1835 | 4.2035 | 15141 | 0.1965 |
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+ | 0.1834 | 4.4037 | 15862 | 0.1964 |
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+ | 0.1828 | 4.6038 | 16583 | 0.1929 |
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+ | 0.1833 | 4.8040 | 17304 | 0.1939 |
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+ | 0.1826 | 5.0042 | 18025 | 0.1907 |
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+ | 0.1688 | 5.2043 | 18746 | 0.1891 |
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+ | 0.1695 | 5.4045 | 19467 | 0.1891 |
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+ | 0.1682 | 5.6047 | 20188 | 0.1889 |
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+ | 0.1702 | 5.8048 | 20909 | 0.1861 |
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+ | 0.1672 | 6.0050 | 21630 | 0.1856 |
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+ | 0.157 | 6.2052 | 22351 | 0.1853 |
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+ | 0.1559 | 6.4053 | 23072 | 0.1874 |
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+ | 0.1564 | 6.6055 | 23793 | 0.1802 |
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+ | 0.1572 | 6.8057 | 24514 | 0.1761 |
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+ | 0.1544 | 7.0058 | 25235 | 0.1770 |
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+ | 0.1462 | 7.2060 | 25956 | 0.1777 |
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+ | 0.1436 | 7.4062 | 26677 | 0.1752 |
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+ | 0.1431 | 7.6063 | 27398 | 0.1713 |
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+ | 0.1412 | 7.8065 | 28119 | 0.1725 |
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+ | 0.1413 | 8.0067 | 28840 | 0.1716 |
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+ | 0.1276 | 8.2068 | 29561 | 0.1714 |
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+ | 0.1296 | 8.4070 | 30282 | 0.1694 |
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+ | 0.1286 | 8.6072 | 31003 | 0.1682 |
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+ | 0.1298 | 8.8073 | 31724 | 0.1632 |
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+ | 0.1285 | 9.0075 | 32445 | 0.1647 |
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+ | 0.1159 | 9.2077 | 33166 | 0.1655 |
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+ | 0.1136 | 9.4078 | 33887 | 0.1658 |
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+ | 0.1158 | 9.6080 | 34608 | 0.1617 |
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+ | 0.1146 | 9.8082 | 35329 | 0.1634 |
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+ | 0.1152 | 10.0083 | 36050 | 0.1632 |
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+ | 0.1016 | 10.2085 | 36771 | 0.1677 |
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+ | 0.1006 | 10.4087 | 37492 | 0.1610 |
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+ | 0.1016 | 10.6088 | 38213 | 0.1606 |
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+ | 0.1022 | 10.8090 | 38934 | 0.1609 |
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+ | 0.1003 | 11.0092 | 39655 | 0.1645 |
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+ | 0.093 | 11.2093 | 40376 | 0.1672 |
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+ | 0.0909 | 11.4095 | 41097 | 0.1678 |
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+ | 0.0908 | 11.6097 | 41818 | 0.1680 |
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+ | 0.091 | 11.8098 | 42539 | 0.1670 |
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  ### Framework versions
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