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lemexp-task1-v2-template_small-deepseek-coder-1.3b-base-ddp-8lr-v2

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  1. README.md +60 -60
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +2 -2
  4. loss_plot.png +0 -0
  5. 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: 0.1526
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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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- | 0.4338 | 0.2002 | 721 | 0.3170 |
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- | 0.315 | 0.4003 | 1442 | 0.2833 |
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- | 0.2712 | 0.6005 | 2163 | 0.2618 |
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- | 0.2655 | 0.8007 | 2884 | 0.2625 |
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- | 0.254 | 1.0008 | 3605 | 0.2394 |
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- | 0.2379 | 1.2010 | 4326 | 0.2385 |
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- | 0.2356 | 1.4012 | 5047 | 0.2293 |
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- | 0.2284 | 1.6013 | 5768 | 0.2392 |
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- | 0.2261 | 1.8015 | 6489 | 0.2273 |
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- | 0.2226 | 2.0017 | 7210 | 0.2303 |
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- | 0.2138 | 2.2018 | 7931 | 0.2182 |
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- | 0.2104 | 2.4020 | 8652 | 0.2148 |
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- | 0.2083 | 2.6022 | 9373 | 0.2077 |
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- | 0.2067 | 2.8023 | 10094 | 0.2081 |
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- | 0.205 | 3.0025 | 10815 | 0.2044 |
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- | 0.1931 | 3.2027 | 11536 | 0.2029 |
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- | 0.1921 | 3.4028 | 12257 | 0.2000 |
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- | 0.1913 | 3.6030 | 12978 | 0.2053 |
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- | 0.1903 | 3.8032 | 13699 | 0.2003 |
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- | 0.1879 | 4.0033 | 14420 | 0.1937 |
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- | 0.1786 | 4.2035 | 15141 | 0.1932 |
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- | 0.178 | 4.4037 | 15862 | 0.1907 |
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- | 0.1763 | 4.6038 | 16583 | 0.1871 |
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- | 0.1777 | 4.8040 | 17304 | 0.1859 |
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- | 0.1749 | 5.0042 | 18025 | 0.1864 |
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- | 0.1632 | 5.2043 | 18746 | 0.1808 |
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- | 0.1645 | 5.4045 | 19467 | 0.1817 |
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- | 0.1627 | 5.6047 | 20188 | 0.1807 |
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- | 0.1629 | 5.8048 | 20909 | 0.1771 |
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- | 0.1623 | 6.0050 | 21630 | 0.1756 |
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- | 0.1521 | 6.2052 | 22351 | 0.1757 |
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- | 0.1512 | 6.4053 | 23072 | 0.1762 |
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- | 0.1505 | 6.6055 | 23793 | 0.1746 |
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- | 0.1511 | 6.8057 | 24514 | 0.1701 |
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- | 0.15 | 7.0058 | 25235 | 0.1672 |
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- | 0.1418 | 7.2060 | 25956 | 0.1670 |
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- | 0.139 | 7.4062 | 26677 | 0.1671 |
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- | 0.1384 | 7.6063 | 27398 | 0.1636 |
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- | 0.1373 | 7.8065 | 28119 | 0.1630 |
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- | 0.1367 | 8.0067 | 28840 | 0.1623 |
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- | 0.1249 | 8.2068 | 29561 | 0.1612 |
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- | 0.1261 | 8.4070 | 30282 | 0.1594 |
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- | 0.1248 | 8.6072 | 31003 | 0.1543 |
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- | 0.1264 | 8.8073 | 31724 | 0.1561 |
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- | 0.1241 | 9.0075 | 32445 | 0.1583 |
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- | 0.1117 | 9.2077 | 33166 | 0.1572 |
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- | 0.1113 | 9.4078 | 33887 | 0.1549 |
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- | 0.1122 | 9.6080 | 34608 | 0.1523 |
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- | 0.1118 | 9.8082 | 35329 | 0.1531 |
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- | 0.112 | 10.0083 | 36050 | 0.1549 |
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- | 0.0994 | 10.2085 | 36771 | 0.1586 |
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- | 0.0986 | 10.4087 | 37492 | 0.1544 |
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- | 0.0989 | 10.6088 | 38213 | 0.1525 |
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- | 0.0994 | 10.8090 | 38934 | 0.1502 |
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- | 0.0978 | 11.0092 | 39655 | 0.1522 |
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- | 0.0906 | 11.2093 | 40376 | 0.1555 |
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- | 0.0887 | 11.4095 | 41097 | 0.1560 |
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- | 0.0889 | 11.6097 | 41818 | 0.1543 |
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- | 0.0891 | 11.8098 | 42539 | 0.1526 |
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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: 0.1536
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.4023 | 0.2002 | 721 | 0.2979 |
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+ | 0.2974 | 0.4003 | 1442 | 0.2705 |
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+ | 0.2625 | 0.6005 | 2163 | 0.2579 |
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+ | 0.2578 | 0.8007 | 2884 | 0.2518 |
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+ | 0.2454 | 1.0008 | 3605 | 0.2368 |
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+ | 0.2309 | 1.2010 | 4326 | 0.2288 |
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+ | 0.228 | 1.4012 | 5047 | 0.2253 |
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+ | 0.223 | 1.6013 | 5768 | 0.2217 |
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+ | 0.2221 | 1.8015 | 6489 | 0.2268 |
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+ | 0.2181 | 2.0017 | 7210 | 0.2157 |
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+ | 0.2081 | 2.2018 | 7931 | 0.2147 |
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+ | 0.2079 | 2.4020 | 8652 | 0.2112 |
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+ | 0.204 | 2.6022 | 9373 | 0.2052 |
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+ | 0.2019 | 2.8023 | 10094 | 0.2038 |
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+ | 0.2002 | 3.0025 | 10815 | 0.2045 |
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+ | 0.1909 | 3.2027 | 11536 | 0.1983 |
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+ | 0.1883 | 3.4028 | 12257 | 0.1964 |
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+ | 0.1874 | 3.6030 | 12978 | 0.2010 |
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+ | 0.1858 | 3.8032 | 13699 | 0.1928 |
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+ | 0.1859 | 4.0033 | 14420 | 0.1917 |
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+ | 0.1738 | 4.2035 | 15141 | 0.1931 |
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+ | 0.1734 | 4.4037 | 15862 | 0.1876 |
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+ | 0.1738 | 4.6038 | 16583 | 0.1848 |
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+ | 0.1746 | 4.8040 | 17304 | 0.1816 |
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+ | 0.1728 | 5.0042 | 18025 | 0.1800 |
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+ | 0.1601 | 5.2043 | 18746 | 0.1832 |
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+ | 0.1612 | 5.4045 | 19467 | 0.1799 |
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+ | 0.1594 | 5.6047 | 20188 | 0.1806 |
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+ | 0.1598 | 5.8048 | 20909 | 0.1768 |
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+ | 0.1595 | 6.0050 | 21630 | 0.1819 |
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+ | 0.15 | 6.2052 | 22351 | 0.1725 |
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+ | 0.1488 | 6.4053 | 23072 | 0.1727 |
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+ | 0.1489 | 6.6055 | 23793 | 0.1706 |
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+ | 0.1487 | 6.8057 | 24514 | 0.1700 |
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+ | 0.1475 | 7.0058 | 25235 | 0.1676 |
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+ | 0.1392 | 7.2060 | 25956 | 0.1658 |
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+ | 0.1375 | 7.4062 | 26677 | 0.1641 |
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+ | 0.1358 | 7.6063 | 27398 | 0.1639 |
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+ | 0.1347 | 7.8065 | 28119 | 0.1613 |
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+ | 0.135 | 8.0067 | 28840 | 0.1595 |
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+ | 0.1223 | 8.2068 | 29561 | 0.1608 |
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+ | 0.1239 | 8.4070 | 30282 | 0.1580 |
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+ | 0.1224 | 8.6072 | 31003 | 0.1562 |
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+ | 0.1234 | 8.8073 | 31724 | 0.1570 |
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+ | 0.1224 | 9.0075 | 32445 | 0.1555 |
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+ | 0.1094 | 9.2077 | 33166 | 0.1561 |
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+ | 0.1088 | 9.4078 | 33887 | 0.1552 |
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+ | 0.1106 | 9.6080 | 34608 | 0.1528 |
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+ | 0.1097 | 9.8082 | 35329 | 0.1520 |
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+ | 0.1101 | 10.0083 | 36050 | 0.1533 |
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+ | 0.0971 | 10.2085 | 36771 | 0.1566 |
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+ | 0.0965 | 10.4087 | 37492 | 0.1528 |
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+ | 0.0975 | 10.6088 | 38213 | 0.1529 |
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+ | 0.0975 | 10.8090 | 38934 | 0.1517 |
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+ | 0.0963 | 11.0092 | 39655 | 0.1528 |
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+ | 0.0887 | 11.2093 | 40376 | 0.1550 |
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+ | 0.0868 | 11.4095 | 41097 | 0.1550 |
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+ | 0.0874 | 11.6097 | 41818 | 0.1542 |
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+ | 0.087 | 11.8098 | 42539 | 0.1536 |
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  ### Framework versions
adapter_config.json CHANGED
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "v_proj",
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- "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "q_proj",
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+ "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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loss_plot.png CHANGED
training_args.bin CHANGED
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