End of training
Browse files
README.md
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This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 0.1162 | 3.7185 | 19600 | 0.2982 |
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| 0.1301 | 3.7279 | 19650 | 0.2970 |
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| 0.1186 | 3.7374 | 19700 | 0.2977 |
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| 0.1158 | 3.7469 | 19750 | 0.2976 |
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| 0.1181 | 3.7564 | 19800 | 0.2975 |
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| 0.1186 | 3.7659 | 19850 | 0.2980 |
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| 0.121 | 3.7754 | 19900 | 0.2974 |
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| 0.1355 | 3.7849 | 19950 | 0.2970 |
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| 0.1222 | 3.7943 | 20000 | 0.2961 |
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| 0.1307 | 3.8038 | 20050 | 0.2964 |
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| 0.1223 | 3.8133 | 20100 | 0.2957 |
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| 0.1097 | 3.8228 | 20150 | 0.2961 |
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| 0.1215 | 3.8323 | 20200 | 0.2965 |
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| 0.1208 | 3.8418 | 20250 | 0.2973 |
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| 0.1199 | 3.8513 | 20300 | 0.2973 |
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| 0.1249 | 3.8607 | 20350 | 0.2966 |
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| 0.1143 | 3.8702 | 20400 | 0.2972 |
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| 0.1316 | 3.8797 | 20450 | 0.2971 |
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| 0.1202 | 3.8892 | 20500 | 0.2973 |
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| 0.1364 | 3.8987 | 20550 | 0.2972 |
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| 0.1193 | 3.9082 | 20600 | 0.2975 |
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| 0.1246 | 3.9177 | 20650 | 0.2971 |
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| 0.1214 | 3.9271 | 20700 | 0.2971 |
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| 0.1108 | 3.9366 | 20750 | 0.2976 |
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| 0.1224 | 3.9461 | 20800 | 0.2975 |
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| 0.1202 | 3.9556 | 20850 | 0.2975 |
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| 0.1135 | 3.9651 | 20900 | 0.2975 |
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| 0.1183 | 3.9746 | 20950 | 0.2977 |
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| 0.1105 | 3.9841 | 21000 | 0.2977 |
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| 0.1307 | 3.9935 | 21050 | 0.2977 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.3064
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 0.2516 | 1.8549 | 10000 | 0.2925 |
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| 0.2922 | 1.8642 | 10050 | 0.2922 |
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| 0.266 | 1.8735 | 10100 | 0.2930 |
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| 0.2656 | 1.8828 | 10150 | 0.2932 |
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| 0.2594 | 1.8920 | 10200 | 0.2916 |
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| 0.255 | 1.9013 | 10250 | 0.2915 |
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| 0.2722 | 1.9106 | 10300 | 0.2922 |
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| 0.2211 | 1.9199 | 10350 | 0.2921 |
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| 0.2755 | 1.9291 | 10400 | 0.2909 |
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| 0.2222 | 1.9384 | 10450 | 0.2919 |
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| 0.227 | 1.9477 | 10500 | 0.2913 |
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| 0.2264 | 1.9570 | 10550 | 0.2929 |
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| 0.2623 | 1.9662 | 10600 | 0.2915 |
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| 0.2488 | 1.9755 | 10650 | 0.2919 |
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| 0.2593 | 1.9848 | 10700 | 0.2902 |
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| 0.2277 | 1.9941 | 10750 | 0.2896 |
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| 0.2307 | 2.0033 | 10800 | 0.2930 |
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| 0.1822 | 2.0126 | 10850 | 0.2991 |
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| 0.1777 | 2.0219 | 10900 | 0.2991 |
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| 0.1916 | 2.0312 | 10950 | 0.3001 |
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| 0.1895 | 2.0404 | 11000 | 0.3005 |
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| 0.2034 | 2.0497 | 11050 | 0.2991 |
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| 0.2086 | 2.0590 | 11100 | 0.2999 |
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| 0.1951 | 2.0683 | 11150 | 0.2983 |
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| 0.1652 | 2.0775 | 11200 | 0.2988 |
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| 0.1861 | 2.0868 | 11250 | 0.2996 |
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| 0.1655 | 2.0961 | 11300 | 0.3025 |
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| 0.201 | 2.1054 | 11350 | 0.2996 |
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| 0.1877 | 2.1146 | 11400 | 0.3011 |
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| 0.1832 | 2.1239 | 11450 | 0.3018 |
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| 0.18 | 2.1332 | 11500 | 0.2991 |
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| 0.1865 | 2.1425 | 11550 | 0.3029 |
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| 0.1918 | 2.1517 | 11600 | 0.2994 |
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| 0.1917 | 2.1610 | 11650 | 0.2983 |
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| 0.1722 | 2.1703 | 11700 | 0.3000 |
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| 0.1865 | 2.1796 | 11750 | 0.2987 |
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| 0.1997 | 2.1888 | 11800 | 0.2987 |
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| 0.1907 | 2.1981 | 11850 | 0.3019 |
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| 0.1981 | 2.2074 | 11900 | 0.2974 |
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| 0.1918 | 2.2167 | 11950 | 0.2986 |
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| 0.1839 | 2.2259 | 12000 | 0.2987 |
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| 0.1888 | 2.2352 | 12050 | 0.2969 |
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| 0.1763 | 2.2445 | 12100 | 0.2989 |
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| 0.1996 | 2.2538 | 12150 | 0.2982 |
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| 0.1917 | 2.2630 | 12200 | 0.3011 |
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| 0.172 | 2.2723 | 12250 | 0.2997 |
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| 0.1857 | 2.2816 | 12300 | 0.3035 |
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| 0.1844 | 2.2909 | 12350 | 0.2978 |
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| 0.2055 | 2.3001 | 12400 | 0.2986 |
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| 0.189 | 2.3094 | 12450 | 0.2979 |
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| 0.1958 | 2.3187 | 12500 | 0.2977 |
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| 0.1954 | 2.3280 | 12550 | 0.2988 |
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| 0.1796 | 2.3372 | 12600 | 0.2983 |
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| 0.2019 | 2.3465 | 12650 | 0.2955 |
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| 0.1816 | 2.3558 | 12700 | 0.2962 |
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| 0.1763 | 2.3651 | 12750 | 0.2976 |
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| 0.1892 | 2.3743 | 12800 | 0.2968 |
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| 0.1805 | 2.3836 | 12850 | 0.2973 |
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| 0.1878 | 2.3929 | 12900 | 0.2958 |
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| 0.1852 | 2.4022 | 12950 | 0.2971 |
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| 0.1907 | 2.4114 | 13000 | 0.2985 |
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| 0.2004 | 2.4207 | 13050 | 0.2970 |
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| 0.1871 | 2.4300 | 13100 | 0.2965 |
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| 0.1958 | 2.4393 | 13150 | 0.2966 |
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| 0.2132 | 2.4485 | 13200 | 0.2940 |
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| 0.1819 | 2.4578 | 13250 | 0.2951 |
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| 0.1627 | 2.4671 | 13300 | 0.2965 |
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| 0.1821 | 2.4763 | 13350 | 0.2954 |
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| 0.1902 | 2.4856 | 13400 | 0.2939 |
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| 0.1992 | 2.4949 | 13450 | 0.2960 |
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| 0.1936 | 2.5042 | 13500 | 0.2946 |
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| 0.2074 | 2.5134 | 13550 | 0.2937 |
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| 0.1877 | 2.5227 | 13600 | 0.2959 |
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| 0.2026 | 2.5320 | 13650 | 0.2935 |
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| 0.1816 | 2.5413 | 13700 | 0.2961 |
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| 0.1769 | 2.5505 | 13750 | 0.2941 |
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| 0.175 | 2.5598 | 13800 | 0.2944 |
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| 0.1791 | 2.5691 | 13850 | 0.2954 |
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| 0.2015 | 2.5784 | 13900 | 0.2946 |
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| 0.1845 | 2.5876 | 13950 | 0.2926 |
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| 0.1699 | 2.5969 | 14000 | 0.2952 |
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| 0.1739 | 2.6062 | 14050 | 0.2930 |
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| 0.1817 | 2.6155 | 14100 | 0.2933 |
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| 0.174 | 2.6247 | 14150 | 0.2943 |
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| 0.2047 | 2.6340 | 14200 | 0.2936 |
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| 0.1843 | 2.6433 | 14250 | 0.2939 |
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| 0.2035 | 2.6526 | 14300 | 0.2933 |
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| 0.2025 | 2.6618 | 14350 | 0.2935 |
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| 141 |
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| 0.1896 | 2.6711 | 14400 | 0.2937 |
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| 0.2029 | 2.6804 | 14450 | 0.2938 |
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| 143 |
+
| 0.1953 | 2.6897 | 14500 | 0.2941 |
|
| 144 |
+
| 0.1952 | 2.6989 | 14550 | 0.2930 |
|
| 145 |
+
| 0.1847 | 2.7082 | 14600 | 0.2920 |
|
| 146 |
+
| 0.1896 | 2.7175 | 14650 | 0.2935 |
|
| 147 |
+
| 0.1703 | 2.7268 | 14700 | 0.2921 |
|
| 148 |
+
| 0.1845 | 2.7360 | 14750 | 0.2923 |
|
| 149 |
+
| 0.1809 | 2.7453 | 14800 | 0.2920 |
|
| 150 |
+
| 0.1924 | 2.7546 | 14850 | 0.2929 |
|
| 151 |
+
| 0.1894 | 2.7639 | 14900 | 0.2909 |
|
| 152 |
+
| 0.1926 | 2.7731 | 14950 | 0.2908 |
|
| 153 |
+
| 0.2106 | 2.7824 | 15000 | 0.2921 |
|
| 154 |
+
| 0.1705 | 2.7917 | 15050 | 0.2903 |
|
| 155 |
+
| 0.1739 | 2.8010 | 15100 | 0.2892 |
|
| 156 |
+
| 0.1798 | 2.8102 | 15150 | 0.2921 |
|
| 157 |
+
| 0.2088 | 2.8195 | 15200 | 0.2909 |
|
| 158 |
+
| 0.1862 | 2.8288 | 15250 | 0.2920 |
|
| 159 |
+
| 0.1891 | 2.8381 | 15300 | 0.2919 |
|
| 160 |
+
| 0.2022 | 2.8473 | 15350 | 0.2899 |
|
| 161 |
+
| 0.1655 | 2.8566 | 15400 | 0.2908 |
|
| 162 |
+
| 0.1771 | 2.8659 | 15450 | 0.2905 |
|
| 163 |
+
| 0.1747 | 2.8752 | 15500 | 0.2886 |
|
| 164 |
+
| 0.1904 | 2.8844 | 15550 | 0.2891 |
|
| 165 |
+
| 0.1821 | 2.8937 | 15600 | 0.2892 |
|
| 166 |
+
| 0.1687 | 2.9030 | 15650 | 0.2892 |
|
| 167 |
+
| 0.1837 | 2.9123 | 15700 | 0.2904 |
|
| 168 |
+
| 0.1643 | 2.9215 | 15750 | 0.2898 |
|
| 169 |
+
| 0.1897 | 2.9308 | 15800 | 0.2882 |
|
| 170 |
+
| 0.2062 | 2.9401 | 15850 | 0.2885 |
|
| 171 |
+
| 0.178 | 2.9494 | 15900 | 0.2881 |
|
| 172 |
+
| 0.1719 | 2.9586 | 15950 | 0.2902 |
|
| 173 |
+
| 0.1866 | 2.9679 | 16000 | 0.2881 |
|
| 174 |
+
| 0.1678 | 2.9772 | 16050 | 0.2878 |
|
| 175 |
+
| 0.1794 | 2.9865 | 16100 | 0.2889 |
|
| 176 |
+
| 0.1805 | 2.9957 | 16150 | 0.2878 |
|
| 177 |
+
| 0.161 | 3.0050 | 16200 | 0.2981 |
|
| 178 |
+
| 0.1198 | 3.0143 | 16250 | 0.3084 |
|
| 179 |
+
| 0.1213 | 3.0236 | 16300 | 0.3084 |
|
| 180 |
+
| 0.144 | 3.0328 | 16350 | 0.3076 |
|
| 181 |
+
| 0.1362 | 3.0421 | 16400 | 0.3092 |
|
| 182 |
+
| 0.1315 | 3.0514 | 16450 | 0.3089 |
|
| 183 |
+
| 0.1358 | 3.0607 | 16500 | 0.3094 |
|
| 184 |
+
| 0.1276 | 3.0699 | 16550 | 0.3087 |
|
| 185 |
+
| 0.125 | 3.0792 | 16600 | 0.3114 |
|
| 186 |
+
| 0.1203 | 3.0885 | 16650 | 0.3112 |
|
| 187 |
+
| 0.1295 | 3.0978 | 16700 | 0.3100 |
|
| 188 |
+
| 0.1191 | 3.1070 | 16750 | 0.3092 |
|
| 189 |
+
| 0.1379 | 3.1163 | 16800 | 0.3087 |
|
| 190 |
+
| 0.1175 | 3.1256 | 16850 | 0.3122 |
|
| 191 |
+
| 0.1314 | 3.1349 | 16900 | 0.3066 |
|
| 192 |
+
| 0.1266 | 3.1441 | 16950 | 0.3077 |
|
| 193 |
+
| 0.1158 | 3.1534 | 17000 | 0.3088 |
|
| 194 |
+
| 0.128 | 3.1627 | 17050 | 0.3106 |
|
| 195 |
+
| 0.1368 | 3.1720 | 17100 | 0.3095 |
|
| 196 |
+
| 0.1334 | 3.1812 | 17150 | 0.3055 |
|
| 197 |
+
| 0.1265 | 3.1905 | 17200 | 0.3104 |
|
| 198 |
+
| 0.133 | 3.1998 | 17250 | 0.3068 |
|
| 199 |
+
| 0.1263 | 3.2091 | 17300 | 0.3078 |
|
| 200 |
+
| 0.1269 | 3.2183 | 17350 | 0.3091 |
|
| 201 |
+
| 0.1372 | 3.2276 | 17400 | 0.3083 |
|
| 202 |
+
| 0.122 | 3.2369 | 17450 | 0.3083 |
|
| 203 |
+
| 0.1403 | 3.2462 | 17500 | 0.3087 |
|
| 204 |
+
| 0.1331 | 3.2554 | 17550 | 0.3086 |
|
| 205 |
+
| 0.1296 | 3.2647 | 17600 | 0.3079 |
|
| 206 |
+
| 0.1248 | 3.2740 | 17650 | 0.3056 |
|
| 207 |
+
| 0.1299 | 3.2832 | 17700 | 0.3088 |
|
| 208 |
+
| 0.1283 | 3.2925 | 17750 | 0.3086 |
|
| 209 |
+
| 0.1286 | 3.3018 | 17800 | 0.3077 |
|
| 210 |
+
| 0.1165 | 3.3111 | 17850 | 0.3088 |
|
| 211 |
+
| 0.1228 | 3.3203 | 17900 | 0.3082 |
|
| 212 |
+
| 0.1258 | 3.3296 | 17950 | 0.3096 |
|
| 213 |
+
| 0.1246 | 3.3389 | 18000 | 0.3124 |
|
| 214 |
+
| 0.1238 | 3.3482 | 18050 | 0.3111 |
|
| 215 |
+
| 0.1211 | 3.3574 | 18100 | 0.3088 |
|
| 216 |
+
| 0.1345 | 3.3667 | 18150 | 0.3069 |
|
| 217 |
+
| 0.1362 | 3.3760 | 18200 | 0.3066 |
|
| 218 |
+
| 0.1199 | 3.3853 | 18250 | 0.3065 |
|
| 219 |
+
| 0.1252 | 3.3945 | 18300 | 0.3064 |
|
| 220 |
+
| 0.1209 | 3.4038 | 18350 | 0.3096 |
|
| 221 |
+
| 0.1414 | 3.4131 | 18400 | 0.3062 |
|
| 222 |
+
| 0.1496 | 3.4224 | 18450 | 0.3059 |
|
| 223 |
+
| 0.1163 | 3.4316 | 18500 | 0.3064 |
|
| 224 |
+
| 0.1459 | 3.4409 | 18550 | 0.3067 |
|
| 225 |
+
| 0.1299 | 3.4502 | 18600 | 0.3088 |
|
| 226 |
+
| 0.1285 | 3.4595 | 18650 | 0.3064 |
|
| 227 |
+
| 0.1252 | 3.4687 | 18700 | 0.3076 |
|
| 228 |
+
| 0.1208 | 3.4780 | 18750 | 0.3074 |
|
| 229 |
+
| 0.1194 | 3.4873 | 18800 | 0.3080 |
|
| 230 |
+
| 0.1308 | 3.4966 | 18850 | 0.3061 |
|
| 231 |
+
| 0.1137 | 3.5058 | 18900 | 0.3061 |
|
| 232 |
+
| 0.1119 | 3.5151 | 18950 | 0.3081 |
|
| 233 |
+
| 0.1251 | 3.5244 | 19000 | 0.3080 |
|
| 234 |
+
| 0.1259 | 3.5337 | 19050 | 0.3063 |
|
| 235 |
+
| 0.1311 | 3.5429 | 19100 | 0.3066 |
|
| 236 |
+
| 0.1123 | 3.5522 | 19150 | 0.3075 |
|
| 237 |
+
| 0.1255 | 3.5615 | 19200 | 0.3082 |
|
| 238 |
+
| 0.1259 | 3.5708 | 19250 | 0.3072 |
|
| 239 |
+
| 0.1279 | 3.5800 | 19300 | 0.3057 |
|
| 240 |
+
| 0.1397 | 3.5893 | 19350 | 0.3048 |
|
| 241 |
+
| 0.1179 | 3.5986 | 19400 | 0.3060 |
|
| 242 |
+
| 0.1412 | 3.6079 | 19450 | 0.3057 |
|
| 243 |
+
| 0.1151 | 3.6171 | 19500 | 0.3069 |
|
| 244 |
+
| 0.1138 | 3.6264 | 19550 | 0.3076 |
|
| 245 |
+
| 0.1357 | 3.6357 | 19600 | 0.3077 |
|
| 246 |
+
| 0.114 | 3.6450 | 19650 | 0.3086 |
|
| 247 |
+
| 0.118 | 3.6542 | 19700 | 0.3085 |
|
| 248 |
+
| 0.1388 | 3.6635 | 19750 | 0.3074 |
|
| 249 |
+
| 0.1253 | 3.6728 | 19800 | 0.3081 |
|
| 250 |
+
| 0.1243 | 3.6821 | 19850 | 0.3069 |
|
| 251 |
+
| 0.1241 | 3.6913 | 19900 | 0.3068 |
|
| 252 |
+
| 0.1336 | 3.7006 | 19950 | 0.3067 |
|
| 253 |
+
| 0.1252 | 3.7099 | 20000 | 0.3079 |
|
| 254 |
+
| 0.1198 | 3.7192 | 20050 | 0.3077 |
|
| 255 |
+
| 0.1416 | 3.7284 | 20100 | 0.3054 |
|
| 256 |
+
| 0.1268 | 3.7377 | 20150 | 0.3071 |
|
| 257 |
+
| 0.126 | 3.7470 | 20200 | 0.3073 |
|
| 258 |
+
| 0.1123 | 3.7563 | 20250 | 0.3076 |
|
| 259 |
+
| 0.1228 | 3.7655 | 20300 | 0.3070 |
|
| 260 |
+
| 0.1199 | 3.7748 | 20350 | 0.3082 |
|
| 261 |
+
| 0.1307 | 3.7841 | 20400 | 0.3079 |
|
| 262 |
+
| 0.1234 | 3.7934 | 20450 | 0.3071 |
|
| 263 |
+
| 0.1346 | 3.8026 | 20500 | 0.3074 |
|
| 264 |
+
| 0.1115 | 3.8119 | 20550 | 0.3074 |
|
| 265 |
+
| 0.1183 | 3.8212 | 20600 | 0.3067 |
|
| 266 |
+
| 0.1185 | 3.8305 | 20650 | 0.3066 |
|
| 267 |
+
| 0.1203 | 3.8397 | 20700 | 0.3074 |
|
| 268 |
+
| 0.1262 | 3.8490 | 20750 | 0.3078 |
|
| 269 |
+
| 0.1232 | 3.8583 | 20800 | 0.3077 |
|
| 270 |
+
| 0.1196 | 3.8676 | 20850 | 0.3075 |
|
| 271 |
+
| 0.1217 | 3.8768 | 20900 | 0.3071 |
|
| 272 |
+
| 0.1392 | 3.8861 | 20950 | 0.3068 |
|
| 273 |
+
| 0.117 | 3.8954 | 21000 | 0.3065 |
|
| 274 |
+
| 0.1396 | 3.9047 | 21050 | 0.3058 |
|
| 275 |
+
| 0.1149 | 3.9139 | 21100 | 0.3061 |
|
| 276 |
+
| 0.1235 | 3.9232 | 21150 | 0.3062 |
|
| 277 |
+
| 0.125 | 3.9325 | 21200 | 0.3064 |
|
| 278 |
+
| 0.1272 | 3.9418 | 21250 | 0.3060 |
|
| 279 |
+
| 0.1189 | 3.9510 | 21300 | 0.3062 |
|
| 280 |
+
| 0.1132 | 3.9603 | 21350 | 0.3064 |
|
| 281 |
+
| 0.1221 | 3.9696 | 21400 | 0.3063 |
|
| 282 |
+
| 0.1283 | 3.9789 | 21450 | 0.3064 |
|
| 283 |
+
| 0.135 | 3.9881 | 21500 | 0.3063 |
|
| 284 |
+
| 0.1207 | 3.9974 | 21550 | 0.3064 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 285 |
|
| 286 |
|
| 287 |
### Framework versions
|
|
|
|
| 289 |
- PEFT 0.11.1
|
| 290 |
- Transformers 4.41.2
|
| 291 |
- Pytorch 2.3.0+cu121
|
| 292 |
+
- Datasets 2.20.0
|
| 293 |
- Tokenizers 0.19.1
|
adapter_config.json
CHANGED
|
@@ -21,12 +21,12 @@
|
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
"down_proj",
|
| 24 |
-
"up_proj",
|
| 25 |
-
"q_proj",
|
| 26 |
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
-
"
|
|
|
|
|
|
|
|
|
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
|
|
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
"down_proj",
|
|
|
|
|
|
|
| 24 |
"o_proj",
|
|
|
|
| 25 |
"k_proj",
|
| 26 |
+
"up_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2332095256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa7458498fe74573a5643ce2046beee4ac8dfecc2d1d588b2e87a7f3dc101efb
|
| 3 |
size 2332095256
|
runs/Jun18_04-28-58_ff71050d2fb7/events.out.tfevents.1718684945.ff71050d2fb7.20224.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e55e8dcf06e371282c63d6824f3775e3c5041f5bb42d1cc23a1eddc70c93eec
|
| 3 |
+
size 160824
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9994e30b6b1daddaa8eaaa0a5b9fe9748db6499d3179c429c06fbb8e662172e4
|
| 3 |
+
size 5432
|