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

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End of training

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  1. README.md +60 -60
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  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: 0.1648
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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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- | 0.4606 | 0.2002 | 721 | 0.3428 |
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- | 0.3399 | 0.4003 | 1442 | 0.3083 |
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- | 0.2976 | 0.6005 | 2163 | 0.2850 |
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- | 0.2873 | 0.8007 | 2884 | 0.2833 |
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- | 0.2753 | 1.0008 | 3605 | 0.2598 |
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- | 0.2587 | 1.2010 | 4326 | 0.2550 |
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- | 0.2557 | 1.4012 | 5047 | 0.2514 |
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- | 0.2462 | 1.6013 | 5768 | 0.2453 |
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- | 0.247 | 1.8015 | 6489 | 0.2478 |
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- | 0.2418 | 2.0017 | 7210 | 0.2394 |
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- | 0.2302 | 2.2018 | 7931 | 0.2337 |
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- | 0.23 | 2.4020 | 8652 | 0.2339 |
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- | 0.2255 | 2.6022 | 9373 | 0.2293 |
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- | 0.2219 | 2.8023 | 10094 | 0.2294 |
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- | 0.2202 | 3.0025 | 10815 | 0.2165 |
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- | 0.2081 | 3.2027 | 11536 | 0.2174 |
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- | 0.2066 | 3.4028 | 12257 | 0.2115 |
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- | 0.2062 | 3.6030 | 12978 | 0.2122 |
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- | 0.2037 | 3.8032 | 13699 | 0.2157 |
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- | 0.2046 | 4.0033 | 14420 | 0.2104 |
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- | 0.1909 | 4.2035 | 15141 | 0.2089 |
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- | 0.1898 | 4.4037 | 15862 | 0.2064 |
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- | 0.1896 | 4.6038 | 16583 | 0.1997 |
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- | 0.1892 | 4.8040 | 17304 | 0.2010 |
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- | 0.1878 | 5.0042 | 18025 | 0.1991 |
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- | 0.1747 | 5.2043 | 18746 | 0.1942 |
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- | 0.1759 | 5.4045 | 19467 | 0.1888 |
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- | 0.1744 | 5.6047 | 20188 | 0.1906 |
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- | 0.1743 | 5.8048 | 20909 | 0.1866 |
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- | 0.1733 | 6.0050 | 21630 | 0.1925 |
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- | 0.1632 | 6.2052 | 22351 | 0.1869 |
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- | 0.1614 | 6.4053 | 23072 | 0.1860 |
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- | 0.1604 | 6.6055 | 23793 | 0.1878 |
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- | 0.1621 | 6.8057 | 24514 | 0.1825 |
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- | 0.1587 | 7.0058 | 25235 | 0.1801 |
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- | 0.1512 | 7.2060 | 25956 | 0.1794 |
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- | 0.1473 | 7.4062 | 26677 | 0.1761 |
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- | 0.1479 | 7.6063 | 27398 | 0.1793 |
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- | 0.1461 | 7.8065 | 28119 | 0.1722 |
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- | 0.1456 | 8.0067 | 28840 | 0.1711 |
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- | 0.1319 | 8.2068 | 29561 | 0.1723 |
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- | 0.1339 | 8.4070 | 30282 | 0.1751 |
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- | 0.1323 | 8.6072 | 31003 | 0.1682 |
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- | 0.1332 | 8.8073 | 31724 | 0.1679 |
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- | 0.1316 | 9.0075 | 32445 | 0.1700 |
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- | 0.1187 | 9.2077 | 33166 | 0.1734 |
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- | 0.1169 | 9.4078 | 33887 | 0.1664 |
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- | 0.1185 | 9.6080 | 34608 | 0.1633 |
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- | 0.118 | 9.8082 | 35329 | 0.1656 |
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- | 0.1189 | 10.0083 | 36050 | 0.1678 |
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- | 0.1039 | 10.2085 | 36771 | 0.1707 |
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- | 0.1039 | 10.4087 | 37492 | 0.1659 |
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- | 0.1044 | 10.6088 | 38213 | 0.1643 |
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- | 0.1036 | 10.8090 | 38934 | 0.1632 |
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- | 0.1028 | 11.0092 | 39655 | 0.1668 |
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- | 0.095 | 11.2093 | 40376 | 0.1680 |
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- | 0.0926 | 11.4095 | 41097 | 0.1656 |
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- | 0.0934 | 11.6097 | 41818 | 0.1641 |
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- | 0.0927 | 11.8098 | 42539 | 0.1648 |
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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: 0.1641
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.4654 | 0.2002 | 721 | 0.3459 |
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+ | 0.3418 | 0.4003 | 1442 | 0.3038 |
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+ | 0.2995 | 0.6005 | 2163 | 0.2974 |
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+ | 0.2913 | 0.8007 | 2884 | 0.2784 |
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+ | 0.2789 | 1.0008 | 3605 | 0.2618 |
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+ | 0.2612 | 1.2010 | 4326 | 0.2589 |
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+ | 0.2567 | 1.4012 | 5047 | 0.2588 |
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+ | 0.2497 | 1.6013 | 5768 | 0.2496 |
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+ | 0.2489 | 1.8015 | 6489 | 0.2469 |
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+ | 0.2433 | 2.0017 | 7210 | 0.2394 |
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+ | 0.2331 | 2.2018 | 7931 | 0.2335 |
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+ | 0.2306 | 2.4020 | 8652 | 0.2324 |
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+ | 0.2264 | 2.6022 | 9373 | 0.2260 |
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+ | 0.2246 | 2.8023 | 10094 | 0.2256 |
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+ | 0.2228 | 3.0025 | 10815 | 0.2260 |
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+ | 0.2102 | 3.2027 | 11536 | 0.2248 |
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+ | 0.2095 | 3.4028 | 12257 | 0.2184 |
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+ | 0.2069 | 3.6030 | 12978 | 0.2141 |
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+ | 0.2073 | 3.8032 | 13699 | 0.2108 |
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+ | 0.2056 | 4.0033 | 14420 | 0.2149 |
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+ | 0.1934 | 4.2035 | 15141 | 0.2076 |
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+ | 0.193 | 4.4037 | 15862 | 0.2010 |
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+ | 0.1928 | 4.6038 | 16583 | 0.2015 |
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+ | 0.1913 | 4.8040 | 17304 | 0.2023 |
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+ | 0.1907 | 5.0042 | 18025 | 0.1996 |
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+ | 0.1772 | 5.2043 | 18746 | 0.1973 |
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+ | 0.1794 | 5.4045 | 19467 | 0.1952 |
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+ | 0.1769 | 5.6047 | 20188 | 0.1928 |
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+ | 0.1781 | 5.8048 | 20909 | 0.1935 |
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+ | 0.1752 | 6.0050 | 21630 | 0.1901 |
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+ | 0.1654 | 6.2052 | 22351 | 0.1933 |
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+ | 0.1644 | 6.4053 | 23072 | 0.1909 |
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+ | 0.164 | 6.6055 | 23793 | 0.1839 |
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+ | 0.1639 | 6.8057 | 24514 | 0.1850 |
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+ | 0.1613 | 7.0058 | 25235 | 0.1812 |
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+ | 0.1533 | 7.2060 | 25956 | 0.1854 |
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+ | 0.1509 | 7.4062 | 26677 | 0.1779 |
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+ | 0.1498 | 7.6063 | 27398 | 0.1768 |
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+ | 0.148 | 7.8065 | 28119 | 0.1741 |
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+ | 0.1474 | 8.0067 | 28840 | 0.1720 |
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+ | 0.1343 | 8.2068 | 29561 | 0.1736 |
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+ | 0.1361 | 8.4070 | 30282 | 0.1754 |
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+ | 0.1355 | 8.6072 | 31003 | 0.1705 |
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+ | 0.1356 | 8.8073 | 31724 | 0.1675 |
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+ | 0.1346 | 9.0075 | 32445 | 0.1664 |
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+ | 0.1207 | 9.2077 | 33166 | 0.1702 |
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+ | 0.1194 | 9.4078 | 33887 | 0.1684 |
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+ | 0.1206 | 9.6080 | 34608 | 0.1632 |
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+ | 0.1202 | 9.8082 | 35329 | 0.1626 |
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+ | 0.1208 | 10.0083 | 36050 | 0.1663 |
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+ | 0.1065 | 10.2085 | 36771 | 0.1708 |
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+ | 0.106 | 10.4087 | 37492 | 0.1643 |
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+ | 0.107 | 10.6088 | 38213 | 0.1644 |
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+ | 0.1067 | 10.8090 | 38934 | 0.1629 |
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+ | 0.1053 | 11.0092 | 39655 | 0.1668 |
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+ | 0.097 | 11.2093 | 40376 | 0.1692 |
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+ | 0.095 | 11.4095 | 41097 | 0.1653 |
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+ | 0.0955 | 11.6097 | 41818 | 0.1650 |
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+ | 0.095 | 11.8098 | 42539 | 0.1641 |
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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
@@ -1,3 +1,3 @@
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