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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: 0.1632
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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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- | 0.4389 | 0.2002 | 721 | 0.3326 |
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- | 0.329 | 0.4003 | 1442 | 0.3020 |
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- | 0.287 | 0.6005 | 2163 | 0.2887 |
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- | 0.2806 | 0.8007 | 2884 | 0.2785 |
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- | 0.2634 | 1.0008 | 3605 | 0.2565 |
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- | 0.25 | 1.2010 | 4326 | 0.2479 |
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- | 0.2471 | 1.4012 | 5047 | 0.2422 |
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- | 0.2382 | 1.6013 | 5768 | 0.2396 |
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- | 0.2365 | 1.8015 | 6489 | 0.2344 |
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- | 0.2326 | 2.0017 | 7210 | 0.2295 |
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- | 0.2224 | 2.2018 | 7931 | 0.2265 |
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- | 0.2206 | 2.4020 | 8652 | 0.2284 |
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- | 0.2176 | 2.6022 | 9373 | 0.2149 |
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- | 0.2144 | 2.8023 | 10094 | 0.2221 |
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- | 0.2136 | 3.0025 | 10815 | 0.2115 |
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- | 0.2021 | 3.2027 | 11536 | 0.2086 |
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- | 0.1998 | 3.4028 | 12257 | 0.2067 |
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- | 0.1985 | 3.6030 | 12978 | 0.2041 |
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- | 0.1973 | 3.8032 | 13699 | 0.2027 |
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- | 0.1967 | 4.0033 | 14420 | 0.2010 |
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- | 0.1844 | 4.2035 | 15141 | 0.2018 |
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- | 0.1842 | 4.4037 | 15862 | 0.1984 |
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- | 0.1838 | 4.6038 | 16583 | 0.1989 |
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- | 0.184 | 4.8040 | 17304 | 0.1934 |
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- | 0.1823 | 5.0042 | 18025 | 0.1938 |
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- | 0.1697 | 5.2043 | 18746 | 0.1893 |
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- | 0.1692 | 5.4045 | 19467 | 0.1927 |
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- | 0.1692 | 5.6047 | 20188 | 0.1852 |
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- | 0.1698 | 5.8048 | 20909 | 0.1840 |
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- | 0.168 | 6.0050 | 21630 | 0.1848 |
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- | 0.1581 | 6.2052 | 22351 | 0.1858 |
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- | 0.157 | 6.4053 | 23072 | 0.1793 |
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- | 0.1557 | 6.6055 | 23793 | 0.1820 |
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- | 0.1571 | 6.8057 | 24514 | 0.1767 |
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- | 0.1542 | 7.0058 | 25235 | 0.1778 |
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- | 0.146 | 7.2060 | 25956 | 0.1764 |
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- | 0.1436 | 7.4062 | 26677 | 0.1746 |
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- | 0.1434 | 7.6063 | 27398 | 0.1730 |
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- | 0.1411 | 7.8065 | 28119 | 0.1742 |
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- | 0.1412 | 8.0067 | 28840 | 0.1676 |
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- | 0.1271 | 8.2068 | 29561 | 0.1707 |
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- | 0.1297 | 8.4070 | 30282 | 0.1686 |
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- | 0.1282 | 8.6072 | 31003 | 0.1676 |
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- | 0.1292 | 8.8073 | 31724 | 0.1639 |
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- | 0.1283 | 9.0075 | 32445 | 0.1680 |
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- | 0.1153 | 9.2077 | 33166 | 0.1650 |
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- | 0.1143 | 9.4078 | 33887 | 0.1678 |
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- | 0.1155 | 9.6080 | 34608 | 0.1616 |
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- | 0.1148 | 9.8082 | 35329 | 0.1614 |
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- | 0.1149 | 10.0083 | 36050 | 0.1628 |
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- | 0.1011 | 10.2085 | 36771 | 0.1665 |
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- | 0.1006 | 10.4087 | 37492 | 0.1598 |
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- | 0.1008 | 10.6088 | 38213 | 0.1592 |
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- | 0.1013 | 10.8090 | 38934 | 0.1595 |
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- | 0.0998 | 11.0092 | 39655 | 0.1619 |
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- | 0.0925 | 11.2093 | 40376 | 0.1643 |
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- | 0.0898 | 11.4095 | 41097 | 0.1651 |
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- | 0.0902 | 11.6097 | 41818 | 0.1630 |
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- | 0.0902 | 11.8098 | 42539 | 0.1632 |
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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: 0.1620
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.4455 | 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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