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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: 0.1494
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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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- | 0.4197 | 0.2002 | 721 | 0.2974 |
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- | 0.3013 | 0.4003 | 1442 | 0.2783 |
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- | 0.2634 | 0.6005 | 2163 | 0.2627 |
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- | 0.2598 | 0.8007 | 2884 | 0.2501 |
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- | 0.2469 | 1.0008 | 3605 | 0.2470 |
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- | 0.2337 | 1.2010 | 4326 | 0.2299 |
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- | 0.2303 | 1.4012 | 5047 | 0.2243 |
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- | 0.2234 | 1.6013 | 5768 | 0.2270 |
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- | 0.223 | 1.8015 | 6489 | 0.2233 |
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- | 0.2184 | 2.0017 | 7210 | 0.2106 |
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- | 0.2094 | 2.2018 | 7931 | 0.2106 |
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- | 0.2075 | 2.4020 | 8652 | 0.2117 |
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- | 0.2041 | 2.6022 | 9373 | 0.2049 |
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- | 0.2031 | 2.8023 | 10094 | 0.2008 |
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- | 0.2017 | 3.0025 | 10815 | 0.2097 |
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- | 0.1897 | 3.2027 | 11536 | 0.1956 |
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- | 0.1892 | 3.4028 | 12257 | 0.1954 |
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- | 0.1868 | 3.6030 | 12978 | 0.1927 |
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- | 0.1855 | 3.8032 | 13699 | 0.1917 |
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- | 0.1862 | 4.0033 | 14420 | 0.1953 |
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- | 0.1739 | 4.2035 | 15141 | 0.1908 |
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- | 0.1749 | 4.4037 | 15862 | 0.1839 |
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- | 0.174 | 4.6038 | 16583 | 0.1812 |
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- | 0.1752 | 4.8040 | 17304 | 0.1810 |
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- | 0.1725 | 5.0042 | 18025 | 0.1796 |
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- | 0.16 | 5.2043 | 18746 | 0.1793 |
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- | 0.162 | 5.4045 | 19467 | 0.1757 |
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- | 0.1603 | 5.6047 | 20188 | 0.1768 |
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- | 0.1607 | 5.8048 | 20909 | 0.1735 |
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- | 0.1595 | 6.0050 | 21630 | 0.1759 |
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- | 0.1509 | 6.2052 | 22351 | 0.1730 |
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- | 0.1486 | 6.4053 | 23072 | 0.1712 |
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- | 0.149 | 6.6055 | 23793 | 0.1668 |
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- | 0.148 | 6.8057 | 24514 | 0.1635 |
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- | 0.1475 | 7.0058 | 25235 | 0.1654 |
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- | 0.1388 | 7.2060 | 25956 | 0.1637 |
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- | 0.1372 | 7.4062 | 26677 | 0.1615 |
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- | 0.136 | 7.6063 | 27398 | 0.1608 |
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- | 0.1345 | 7.8065 | 28119 | 0.1591 |
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- | 0.1343 | 8.0067 | 28840 | 0.1575 |
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- | 0.1215 | 8.2068 | 29561 | 0.1554 |
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- | 0.1236 | 8.4070 | 30282 | 0.1543 |
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- | 0.1228 | 8.6072 | 31003 | 0.1560 |
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- | 0.1244 | 8.8073 | 31724 | 0.1548 |
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- | 0.1216 | 9.0075 | 32445 | 0.1563 |
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- | 0.1093 | 9.2077 | 33166 | 0.1540 |
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- | 0.109 | 9.4078 | 33887 | 0.1517 |
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- | 0.11 | 9.6080 | 34608 | 0.1506 |
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- | 0.1097 | 9.8082 | 35329 | 0.1503 |
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- | 0.1098 | 10.0083 | 36050 | 0.1512 |
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- | 0.0975 | 10.2085 | 36771 | 0.1527 |
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- | 0.0966 | 10.4087 | 37492 | 0.1477 |
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- | 0.0972 | 10.6088 | 38213 | 0.1456 |
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- | 0.0971 | 10.8090 | 38934 | 0.1446 |
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- | 0.0956 | 11.0092 | 39655 | 0.1484 |
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- | 0.0887 | 11.2093 | 40376 | 0.1523 |
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- | 0.0865 | 11.4095 | 41097 | 0.1496 |
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- | 0.0874 | 11.6097 | 41818 | 0.1489 |
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- | 0.0866 | 11.8098 | 42539 | 0.1494 |
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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: 0.1497
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.3983 | 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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