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End of training

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  1. README.md +60 -60
  2. adapter_model.safetensors +1 -1
  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: 0.1497
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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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- | 0.3983 | 0.2002 | 721 | 0.2971 |
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- | 0.2938 | 0.4003 | 1442 | 0.2671 |
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- | 0.2589 | 0.6005 | 2163 | 0.2593 |
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- | 0.2563 | 0.8007 | 2884 | 0.2474 |
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- | 0.2423 | 1.0008 | 3605 | 0.2308 |
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- | 0.2294 | 1.2010 | 4326 | 0.2354 |
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- | 0.2269 | 1.4012 | 5047 | 0.2208 |
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- | 0.2207 | 1.6013 | 5768 | 0.2256 |
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- | 0.2205 | 1.8015 | 6489 | 0.2195 |
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- | 0.2164 | 2.0017 | 7210 | 0.2082 |
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- | 0.2083 | 2.2018 | 7931 | 0.2071 |
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- | 0.2062 | 2.4020 | 8652 | 0.2094 |
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- | 0.2022 | 2.6022 | 9373 | 0.2036 |
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- | 0.2017 | 2.8023 | 10094 | 0.1983 |
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- | 0.1979 | 3.0025 | 10815 | 0.1970 |
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- | 0.1887 | 3.2027 | 11536 | 0.1954 |
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- | 0.188 | 3.4028 | 12257 | 0.1899 |
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- | 0.186 | 3.6030 | 12978 | 0.1906 |
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- | 0.1861 | 3.8032 | 13699 | 0.1886 |
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- | 0.1839 | 4.0033 | 14420 | 0.1892 |
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- | 0.1739 | 4.2035 | 15141 | 0.1884 |
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- | 0.1728 | 4.4037 | 15862 | 0.1827 |
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- | 0.1732 | 4.6038 | 16583 | 0.1843 |
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- | 0.1726 | 4.8040 | 17304 | 0.1786 |
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- | 0.1711 | 5.0042 | 18025 | 0.1780 |
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- | 0.1582 | 5.2043 | 18746 | 0.1795 |
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- | 0.1608 | 5.4045 | 19467 | 0.1791 |
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- | 0.1604 | 5.6047 | 20188 | 0.1788 |
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- | 0.1604 | 5.8048 | 20909 | 0.1751 |
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- | 0.1579 | 6.0050 | 21630 | 0.1740 |
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- | 0.1487 | 6.2052 | 22351 | 0.1716 |
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- | 0.1476 | 6.4053 | 23072 | 0.1693 |
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- | 0.1474 | 6.6055 | 23793 | 0.1698 |
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- | 0.148 | 6.8057 | 24514 | 0.1647 |
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- | 0.1464 | 7.0058 | 25235 | 0.1654 |
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- | 0.1386 | 7.2060 | 25956 | 0.1640 |
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- | 0.1363 | 7.4062 | 26677 | 0.1628 |
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- | 0.1358 | 7.6063 | 27398 | 0.1647 |
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- | 0.1341 | 7.8065 | 28119 | 0.1590 |
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- | 0.1337 | 8.0067 | 28840 | 0.1591 |
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- | 0.1213 | 8.2068 | 29561 | 0.1568 |
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- | 0.1243 | 8.4070 | 30282 | 0.1585 |
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- | 0.1221 | 8.6072 | 31003 | 0.1557 |
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- | 0.1233 | 8.8073 | 31724 | 0.1534 |
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- | 0.1215 | 9.0075 | 32445 | 0.1538 |
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- | 0.1098 | 9.2077 | 33166 | 0.1540 |
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- | 0.1091 | 9.4078 | 33887 | 0.1528 |
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- | 0.1095 | 9.6080 | 34608 | 0.1504 |
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- | 0.1098 | 9.8082 | 35329 | 0.1496 |
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- | 0.11 | 10.0083 | 36050 | 0.1483 |
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- | 0.0978 | 10.2085 | 36771 | 0.1542 |
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- | 0.0968 | 10.4087 | 37492 | 0.1494 |
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- | 0.0976 | 10.6088 | 38213 | 0.1483 |
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- | 0.0976 | 10.8090 | 38934 | 0.1491 |
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- | 0.0966 | 11.0092 | 39655 | 0.1513 |
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- | 0.0889 | 11.2093 | 40376 | 0.1521 |
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- | 0.0872 | 11.4095 | 41097 | 0.1521 |
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- | 0.0877 | 11.6097 | 41818 | 0.1507 |
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- | 0.0872 | 11.8098 | 42539 | 0.1497 |
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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: 0.1548
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.3773 | 0.2001 | 720 | 0.2929 |
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+ | 0.2804 | 0.4001 | 1440 | 0.2615 |
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+ | 0.2488 | 0.6002 | 2160 | 0.2472 |
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+ | 0.2405 | 0.8002 | 2880 | 0.2416 |
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+ | 0.2302 | 1.0003 | 3600 | 0.2355 |
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+ | 0.218 | 1.2003 | 4320 | 0.2305 |
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+ | 0.2138 | 1.4004 | 5040 | 0.2205 |
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+ | 0.2111 | 1.6004 | 5760 | 0.2150 |
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+ | 0.2109 | 1.8005 | 6480 | 0.2147 |
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+ | 0.2035 | 2.0006 | 7200 | 0.2091 |
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+ | 0.1953 | 2.2006 | 7920 | 0.2103 |
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+ | 0.1932 | 2.4007 | 8640 | 0.2053 |
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+ | 0.1897 | 2.6007 | 9360 | 0.1994 |
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+ | 0.1896 | 2.8008 | 10080 | 0.2000 |
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+ | 0.1927 | 3.0008 | 10800 | 0.1980 |
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+ | 0.1785 | 3.2009 | 11520 | 0.1952 |
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+ | 0.18 | 3.4009 | 12240 | 0.1955 |
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+ | 0.176 | 3.6010 | 12960 | 0.1882 |
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+ | 0.1753 | 3.8011 | 13680 | 0.1899 |
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+ | 0.1765 | 4.0011 | 14400 | 0.1840 |
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+ | 0.165 | 4.2012 | 15120 | 0.1892 |
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+ | 0.1653 | 4.4012 | 15840 | 0.1850 |
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+ | 0.1645 | 4.6013 | 16560 | 0.1914 |
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+ | 0.1656 | 4.8013 | 17280 | 0.1821 |
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+ | 0.1607 | 5.0014 | 18000 | 0.1860 |
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+ | 0.1524 | 5.2014 | 18720 | 0.1806 |
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+ | 0.1523 | 5.4015 | 19440 | 0.1771 |
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+ | 0.1529 | 5.6016 | 20160 | 0.1719 |
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+ | 0.1524 | 5.8016 | 20880 | 0.1751 |
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+ | 0.1491 | 6.0017 | 21600 | 0.1706 |
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+ | 0.1412 | 6.2017 | 22320 | 0.1686 |
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+ | 0.1419 | 6.4018 | 23040 | 0.1685 |
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+ | 0.1408 | 6.6018 | 23760 | 0.1653 |
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+ | 0.1413 | 6.8019 | 24480 | 0.1675 |
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+ | 0.1385 | 7.0019 | 25200 | 0.1632 |
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+ | 0.1306 | 7.2020 | 25920 | 0.1650 |
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+ | 0.1286 | 7.4021 | 26640 | 0.1622 |
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+ | 0.1291 | 7.6021 | 27360 | 0.1631 |
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+ | 0.127 | 7.8022 | 28080 | 0.1580 |
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+ | 0.1289 | 8.0022 | 28800 | 0.1584 |
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+ | 0.1177 | 8.2023 | 29520 | 0.1576 |
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+ | 0.1167 | 8.4023 | 30240 | 0.1564 |
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+ | 0.1174 | 8.6024 | 30960 | 0.1550 |
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+ | 0.1156 | 8.8024 | 31680 | 0.1543 |
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+ | 0.1164 | 9.0025 | 32400 | 0.1531 |
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+ | 0.105 | 9.2026 | 33120 | 0.1582 |
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+ | 0.1045 | 9.4026 | 33840 | 0.1557 |
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+ | 0.106 | 9.6027 | 34560 | 0.1534 |
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+ | 0.1058 | 9.8027 | 35280 | 0.1500 |
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+ | 0.1026 | 10.0028 | 36000 | 0.1499 |
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+ | 0.0938 | 10.2028 | 36720 | 0.1540 |
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+ | 0.0937 | 10.4029 | 37440 | 0.1522 |
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+ | 0.0929 | 10.6029 | 38160 | 0.1542 |
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+ | 0.0926 | 10.8030 | 38880 | 0.1537 |
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+ | 0.0931 | 11.0031 | 39600 | 0.1518 |
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+ | 0.0849 | 11.2031 | 40320 | 0.1579 |
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+ | 0.0837 | 11.4032 | 41040 | 0.1560 |
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+ | 0.0828 | 11.6032 | 41760 | 0.1548 |
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+ | 0.0826 | 11.8033 | 42480 | 0.1548 |
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  ### Framework versions
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