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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: 0.1547
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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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- | 0.4292 | 0.2002 | 721 | 0.3077 |
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- | 0.3079 | 0.4003 | 1442 | 0.2790 |
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- | 0.269 | 0.6005 | 2163 | 0.2551 |
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- | 0.2612 | 0.8007 | 2884 | 0.2621 |
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- | 0.2497 | 1.0008 | 3605 | 0.2418 |
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- | 0.2361 | 1.2010 | 4326 | 0.2328 |
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- | 0.2348 | 1.4012 | 5047 | 0.2309 |
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- | 0.2266 | 1.6013 | 5768 | 0.2232 |
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- | 0.2269 | 1.8015 | 6489 | 0.2266 |
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- | 0.2223 | 2.0017 | 7210 | 0.2175 |
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- | 0.213 | 2.2018 | 7931 | 0.2132 |
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- | 0.2106 | 2.4020 | 8652 | 0.2099 |
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- | 0.2066 | 2.6022 | 9373 | 0.2076 |
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- | 0.2066 | 2.8023 | 10094 | 0.2104 |
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- | 0.2037 | 3.0025 | 10815 | 0.1996 |
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- | 0.1934 | 3.2027 | 11536 | 0.1989 |
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- | 0.1925 | 3.4028 | 12257 | 0.1944 |
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- | 0.1907 | 3.6030 | 12978 | 0.1925 |
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- | 0.1892 | 3.8032 | 13699 | 0.1992 |
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- | 0.1889 | 4.0033 | 14420 | 0.1979 |
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- | 0.1773 | 4.2035 | 15141 | 0.1879 |
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- | 0.1763 | 4.4037 | 15862 | 0.1904 |
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- | 0.1772 | 4.6038 | 16583 | 0.1902 |
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- | 0.1772 | 4.8040 | 17304 | 0.1850 |
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- | 0.1753 | 5.0042 | 18025 | 0.1849 |
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- | 0.1632 | 5.2043 | 18746 | 0.1833 |
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- | 0.1643 | 5.4045 | 19467 | 0.1788 |
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- | 0.1627 | 5.6047 | 20188 | 0.1841 |
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- | 0.1635 | 5.8048 | 20909 | 0.1780 |
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- | 0.163 | 6.0050 | 21630 | 0.1774 |
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- | 0.1536 | 6.2052 | 22351 | 0.1745 |
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- | 0.1519 | 6.4053 | 23072 | 0.1731 |
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- | 0.1502 | 6.6055 | 23793 | 0.1710 |
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- | 0.1512 | 6.8057 | 24514 | 0.1705 |
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- | 0.1501 | 7.0058 | 25235 | 0.1696 |
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- | 0.1419 | 7.2060 | 25956 | 0.1694 |
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- | 0.1398 | 7.4062 | 26677 | 0.1660 |
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- | 0.1394 | 7.6063 | 27398 | 0.1697 |
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- | 0.1379 | 7.8065 | 28119 | 0.1644 |
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- | 0.1379 | 8.0067 | 28840 | 0.1654 |
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- | 0.125 | 8.2068 | 29561 | 0.1608 |
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- | 0.1261 | 8.4070 | 30282 | 0.1613 |
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- | 0.1257 | 8.6072 | 31003 | 0.1583 |
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- | 0.1265 | 8.8073 | 31724 | 0.1581 |
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- | 0.1251 | 9.0075 | 32445 | 0.1584 |
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- | 0.1126 | 9.2077 | 33166 | 0.1593 |
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- | 0.1117 | 9.4078 | 33887 | 0.1567 |
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- | 0.1125 | 9.6080 | 34608 | 0.1554 |
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- | 0.1125 | 9.8082 | 35329 | 0.1526 |
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- | 0.113 | 10.0083 | 36050 | 0.1564 |
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- | 0.1004 | 10.2085 | 36771 | 0.1621 |
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- | 0.0992 | 10.4087 | 37492 | 0.1540 |
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- | 0.0995 | 10.6088 | 38213 | 0.1533 |
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- | 0.0996 | 10.8090 | 38934 | 0.1531 |
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- | 0.0986 | 11.0092 | 39655 | 0.1545 |
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- | 0.0921 | 11.2093 | 40376 | 0.1575 |
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- | 0.089 | 11.4095 | 41097 | 0.1569 |
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- | 0.0894 | 11.6097 | 41818 | 0.1566 |
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- | 0.0893 | 11.8098 | 42539 | 0.1547 |
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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: 0.1555
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.4029 | 0.2002 | 721 | 0.2970 |
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+ | 0.2985 | 0.4003 | 1442 | 0.2698 |
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+ | 0.263 | 0.6005 | 2163 | 0.2522 |
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+ | 0.2565 | 0.8007 | 2884 | 0.2486 |
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+ | 0.246 | 1.0008 | 3605 | 0.2322 |
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+ | 0.2322 | 1.2010 | 4326 | 0.2360 |
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+ | 0.2318 | 1.4012 | 5047 | 0.2286 |
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+ | 0.223 | 1.6013 | 5768 | 0.2263 |
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+ | 0.2213 | 1.8015 | 6489 | 0.2191 |
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+ | 0.2189 | 2.0017 | 7210 | 0.2177 |
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+ | 0.2096 | 2.2018 | 7931 | 0.2160 |
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+ | 0.2084 | 2.4020 | 8652 | 0.2158 |
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+ | 0.2045 | 2.6022 | 9373 | 0.2075 |
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+ | 0.2026 | 2.8023 | 10094 | 0.2082 |
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+ | 0.2012 | 3.0025 | 10815 | 0.2029 |
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+ | 0.19 | 3.2027 | 11536 | 0.2002 |
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+ | 0.1896 | 3.4028 | 12257 | 0.2012 |
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+ | 0.1879 | 3.6030 | 12978 | 0.1948 |
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+ | 0.1868 | 3.8032 | 13699 | 0.1899 |
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+ | 0.1857 | 4.0033 | 14420 | 0.1936 |
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+ | 0.175 | 4.2035 | 15141 | 0.1864 |
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+ | 0.174 | 4.4037 | 15862 | 0.1912 |
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+ | 0.1741 | 4.6038 | 16583 | 0.1900 |
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+ | 0.175 | 4.8040 | 17304 | 0.1854 |
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+ | 0.1738 | 5.0042 | 18025 | 0.1858 |
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+ | 0.161 | 5.2043 | 18746 | 0.1868 |
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+ | 0.1614 | 5.4045 | 19467 | 0.1789 |
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+ | 0.1609 | 5.6047 | 20188 | 0.1815 |
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+ | 0.1617 | 5.8048 | 20909 | 0.1748 |
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+ | 0.16 | 6.0050 | 21630 | 0.1753 |
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+ | 0.1508 | 6.2052 | 22351 | 0.1744 |
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+ | 0.1486 | 6.4053 | 23072 | 0.1707 |
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+ | 0.1488 | 6.6055 | 23793 | 0.1719 |
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+ | 0.1488 | 6.8057 | 24514 | 0.1674 |
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+ | 0.1473 | 7.0058 | 25235 | 0.1655 |
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+ | 0.14 | 7.2060 | 25956 | 0.1636 |
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+ | 0.1371 | 7.4062 | 26677 | 0.1638 |
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+ | 0.137 | 7.6063 | 27398 | 0.1641 |
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+ | 0.1352 | 7.8065 | 28119 | 0.1606 |
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+ | 0.1356 | 8.0067 | 28840 | 0.1570 |
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+ | 0.1223 | 8.2068 | 29561 | 0.1599 |
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+ | 0.1243 | 8.4070 | 30282 | 0.1601 |
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+ | 0.1239 | 8.6072 | 31003 | 0.1563 |
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+ | 0.1242 | 8.8073 | 31724 | 0.1527 |
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+ | 0.1226 | 9.0075 | 32445 | 0.1568 |
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+ | 0.1101 | 9.2077 | 33166 | 0.1569 |
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+ | 0.1099 | 9.4078 | 33887 | 0.1526 |
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+ | 0.1105 | 9.6080 | 34608 | 0.1526 |
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+ | 0.1106 | 9.8082 | 35329 | 0.1538 |
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+ | 0.1106 | 10.0083 | 36050 | 0.1551 |
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+ | 0.098 | 10.2085 | 36771 | 0.1594 |
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+ | 0.0969 | 10.4087 | 37492 | 0.1530 |
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+ | 0.0976 | 10.6088 | 38213 | 0.1547 |
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+ | 0.0977 | 10.8090 | 38934 | 0.1526 |
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+ | 0.0969 | 11.0092 | 39655 | 0.1564 |
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+ | 0.0893 | 11.2093 | 40376 | 0.1561 |
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+ | 0.087 | 11.4095 | 41097 | 0.1561 |
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+ | 0.0883 | 11.6097 | 41818 | 0.1558 |
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+ | 0.0877 | 11.8098 | 42539 | 0.1555 |
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  ### Framework versions
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