End of training
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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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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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-
- Pytorch 2.
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- Datasets 2.21.0
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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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| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.2938
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| 22 |
|
| 23 |
## Model description
|
| 24 |
|
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|
| 50 |
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| 51 |
| Training Loss | Epoch | Step | Validation Loss |
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| 52 |
|:-------------:|:------:|:-----:|:---------------:|
|
| 53 |
+
| 0.1795 | 2.4565 | 13000 | 0.2835 |
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| 54 |
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| 0.2185 | 2.4660 | 13050 | 0.2829 |
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| 55 |
+
| 0.1948 | 2.4754 | 13100 | 0.2828 |
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| 56 |
+
| 0.1612 | 2.4849 | 13150 | 0.2845 |
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| 57 |
+
| 0.2074 | 2.4943 | 13200 | 0.2827 |
|
| 58 |
+
| 0.1684 | 2.5038 | 13250 | 0.2830 |
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| 59 |
+
| 0.2004 | 2.5132 | 13300 | 0.2826 |
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| 60 |
+
| 0.2073 | 2.5227 | 13350 | 0.2817 |
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| 61 |
+
| 0.1693 | 2.5321 | 13400 | 0.2837 |
|
| 62 |
+
| 0.187 | 2.5416 | 13450 | 0.2826 |
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| 63 |
+
| 0.1777 | 2.5510 | 13500 | 0.2829 |
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| 64 |
+
| 0.1765 | 2.5605 | 13550 | 0.2847 |
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| 65 |
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| 0.1831 | 2.5699 | 13600 | 0.2837 |
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| 66 |
+
| 0.1866 | 2.5794 | 13650 | 0.2818 |
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| 67 |
+
| 0.1718 | 2.5888 | 13700 | 0.2815 |
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| 68 |
+
| 0.197 | 2.5983 | 13750 | 0.2809 |
|
| 69 |
+
| 0.1847 | 2.6077 | 13800 | 0.2830 |
|
| 70 |
+
| 0.1868 | 2.6172 | 13850 | 0.2833 |
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| 71 |
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| 0.1825 | 2.6266 | 13900 | 0.2824 |
|
| 72 |
+
| 0.1887 | 2.6361 | 13950 | 0.2822 |
|
| 73 |
+
| 0.1747 | 2.6455 | 14000 | 0.2817 |
|
| 74 |
+
| 0.201 | 2.6550 | 14050 | 0.2800 |
|
| 75 |
+
| 0.163 | 2.6644 | 14100 | 0.2810 |
|
| 76 |
+
| 0.1754 | 2.6738 | 14150 | 0.2791 |
|
| 77 |
+
| 0.1724 | 2.6833 | 14200 | 0.2820 |
|
| 78 |
+
| 0.184 | 2.6927 | 14250 | 0.2798 |
|
| 79 |
+
| 0.1743 | 2.7022 | 14300 | 0.2804 |
|
| 80 |
+
| 0.194 | 2.7116 | 14350 | 0.2799 |
|
| 81 |
+
| 0.1736 | 2.7211 | 14400 | 0.2814 |
|
| 82 |
+
| 0.1837 | 2.7305 | 14450 | 0.2783 |
|
| 83 |
+
| 0.1809 | 2.7400 | 14500 | 0.2808 |
|
| 84 |
+
| 0.187 | 2.7494 | 14550 | 0.2796 |
|
| 85 |
+
| 0.1858 | 2.7589 | 14600 | 0.2773 |
|
| 86 |
+
| 0.1946 | 2.7683 | 14650 | 0.2783 |
|
| 87 |
+
| 0.1878 | 2.7778 | 14700 | 0.2779 |
|
| 88 |
+
| 0.1824 | 2.7872 | 14750 | 0.2778 |
|
| 89 |
+
| 0.1829 | 2.7967 | 14800 | 0.2782 |
|
| 90 |
+
| 0.1962 | 2.8061 | 14850 | 0.2787 |
|
| 91 |
+
| 0.1802 | 2.8156 | 14900 | 0.2769 |
|
| 92 |
+
| 0.1768 | 2.8250 | 14950 | 0.2771 |
|
| 93 |
+
| 0.1765 | 2.8345 | 15000 | 0.2788 |
|
| 94 |
+
| 0.1884 | 2.8439 | 15050 | 0.2787 |
|
| 95 |
+
| 0.2086 | 2.8534 | 15100 | 0.2769 |
|
| 96 |
+
| 0.1665 | 2.8628 | 15150 | 0.2784 |
|
| 97 |
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| 0.1569 | 2.8723 | 15200 | 0.2776 |
|
| 98 |
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| 0.1683 | 2.8817 | 15250 | 0.2763 |
|
| 99 |
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| 0.1658 | 2.8912 | 15300 | 0.2774 |
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| 100 |
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| 0.1846 | 2.9006 | 15350 | 0.2772 |
|
| 101 |
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| 0.1937 | 2.9101 | 15400 | 0.2758 |
|
| 102 |
+
| 0.1819 | 2.9195 | 15450 | 0.2770 |
|
| 103 |
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| 0.1718 | 2.9289 | 15500 | 0.2745 |
|
| 104 |
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| 0.1647 | 2.9384 | 15550 | 0.2774 |
|
| 105 |
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| 0.1565 | 2.9478 | 15600 | 0.2775 |
|
| 106 |
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| 0.1793 | 2.9573 | 15650 | 0.2770 |
|
| 107 |
+
| 0.198 | 2.9667 | 15700 | 0.2760 |
|
| 108 |
+
| 0.182 | 2.9762 | 15750 | 0.2775 |
|
| 109 |
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| 0.1586 | 2.9856 | 15800 | 0.2761 |
|
| 110 |
+
| 0.2008 | 2.9951 | 15850 | 0.2748 |
|
| 111 |
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| 0.1392 | 3.0045 | 15900 | 0.2858 |
|
| 112 |
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| 0.1225 | 3.0140 | 15950 | 0.2975 |
|
| 113 |
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| 0.1282 | 3.0234 | 16000 | 0.2953 |
|
| 114 |
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| 0.1247 | 3.0329 | 16050 | 0.2928 |
|
| 115 |
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| 0.1178 | 3.0423 | 16100 | 0.2962 |
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| 116 |
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| 0.111 | 3.0518 | 16150 | 0.2998 |
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| 117 |
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| 0.1197 | 3.0612 | 16200 | 0.2979 |
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| 118 |
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| 0.1164 | 3.0707 | 16250 | 0.2964 |
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| 119 |
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| 0.1208 | 3.0801 | 16300 | 0.2977 |
|
| 120 |
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| 0.1351 | 3.0896 | 16350 | 0.2984 |
|
| 121 |
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| 0.1355 | 3.0990 | 16400 | 0.2973 |
|
| 122 |
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| 0.1219 | 3.1085 | 16450 | 0.2948 |
|
| 123 |
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| 0.1241 | 3.1179 | 16500 | 0.2952 |
|
| 124 |
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| 0.1293 | 3.1274 | 16550 | 0.2976 |
|
| 125 |
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| 0.1208 | 3.1368 | 16600 | 0.2963 |
|
| 126 |
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| 0.1327 | 3.1463 | 16650 | 0.2973 |
|
| 127 |
+
| 0.122 | 3.1557 | 16700 | 0.2963 |
|
| 128 |
+
| 0.1269 | 3.1652 | 16750 | 0.2960 |
|
| 129 |
+
| 0.1239 | 3.1746 | 16800 | 0.2954 |
|
| 130 |
+
| 0.1138 | 3.1841 | 16850 | 0.2961 |
|
| 131 |
+
| 0.1226 | 3.1935 | 16900 | 0.2942 |
|
| 132 |
+
| 0.1196 | 3.2029 | 16950 | 0.2971 |
|
| 133 |
+
| 0.1307 | 3.2124 | 17000 | 0.2949 |
|
| 134 |
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| 0.1166 | 3.2218 | 17050 | 0.2955 |
|
| 135 |
+
| 0.1369 | 3.2313 | 17100 | 0.2986 |
|
| 136 |
+
| 0.1132 | 3.2407 | 17150 | 0.2969 |
|
| 137 |
+
| 0.126 | 3.2502 | 17200 | 0.2944 |
|
| 138 |
+
| 0.1234 | 3.2596 | 17250 | 0.2955 |
|
| 139 |
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| 0.1237 | 3.2691 | 17300 | 0.2966 |
|
| 140 |
+
| 0.1214 | 3.2785 | 17350 | 0.2943 |
|
| 141 |
+
| 0.1287 | 3.2880 | 17400 | 0.2981 |
|
| 142 |
+
| 0.1286 | 3.2974 | 17450 | 0.2955 |
|
| 143 |
+
| 0.1279 | 3.3069 | 17500 | 0.2952 |
|
| 144 |
+
| 0.1236 | 3.3163 | 17550 | 0.2958 |
|
| 145 |
+
| 0.1242 | 3.3258 | 17600 | 0.2951 |
|
| 146 |
+
| 0.12 | 3.3352 | 17650 | 0.2968 |
|
| 147 |
+
| 0.1188 | 3.3447 | 17700 | 0.2951 |
|
| 148 |
+
| 0.1273 | 3.3541 | 17750 | 0.2968 |
|
| 149 |
+
| 0.1206 | 3.3636 | 17800 | 0.2982 |
|
| 150 |
+
| 0.1281 | 3.3730 | 17850 | 0.2952 |
|
| 151 |
+
| 0.1228 | 3.3825 | 17900 | 0.2964 |
|
| 152 |
+
| 0.1277 | 3.3919 | 17950 | 0.2964 |
|
| 153 |
+
| 0.1347 | 3.4014 | 18000 | 0.2958 |
|
| 154 |
+
| 0.1345 | 3.4108 | 18050 | 0.2942 |
|
| 155 |
+
| 0.1248 | 3.4203 | 18100 | 0.2976 |
|
| 156 |
+
| 0.1388 | 3.4297 | 18150 | 0.2966 |
|
| 157 |
+
| 0.1337 | 3.4392 | 18200 | 0.2942 |
|
| 158 |
+
| 0.1175 | 3.4486 | 18250 | 0.2963 |
|
| 159 |
+
| 0.1214 | 3.4580 | 18300 | 0.2969 |
|
| 160 |
+
| 0.1331 | 3.4675 | 18350 | 0.2967 |
|
| 161 |
+
| 0.1274 | 3.4769 | 18400 | 0.2955 |
|
| 162 |
+
| 0.1295 | 3.4864 | 18450 | 0.2963 |
|
| 163 |
+
| 0.1325 | 3.4958 | 18500 | 0.2957 |
|
| 164 |
+
| 0.1199 | 3.5053 | 18550 | 0.2965 |
|
| 165 |
+
| 0.1232 | 3.5147 | 18600 | 0.2941 |
|
| 166 |
+
| 0.11 | 3.5242 | 18650 | 0.2949 |
|
| 167 |
+
| 0.1238 | 3.5336 | 18700 | 0.2947 |
|
| 168 |
+
| 0.13 | 3.5431 | 18750 | 0.2960 |
|
| 169 |
+
| 0.1123 | 3.5525 | 18800 | 0.2955 |
|
| 170 |
+
| 0.1214 | 3.5620 | 18850 | 0.2954 |
|
| 171 |
+
| 0.1206 | 3.5714 | 18900 | 0.2954 |
|
| 172 |
+
| 0.1312 | 3.5809 | 18950 | 0.2933 |
|
| 173 |
+
| 0.1166 | 3.5903 | 19000 | 0.2933 |
|
| 174 |
+
| 0.1261 | 3.5998 | 19050 | 0.2942 |
|
| 175 |
+
| 0.1237 | 3.6092 | 19100 | 0.2956 |
|
| 176 |
+
| 0.1229 | 3.6187 | 19150 | 0.2950 |
|
| 177 |
+
| 0.1264 | 3.6281 | 19200 | 0.2941 |
|
| 178 |
+
| 0.1161 | 3.6376 | 19250 | 0.2949 |
|
| 179 |
+
| 0.1159 | 3.6470 | 19300 | 0.2954 |
|
| 180 |
+
| 0.1176 | 3.6565 | 19350 | 0.2967 |
|
| 181 |
+
| 0.1157 | 3.6659 | 19400 | 0.2959 |
|
| 182 |
+
| 0.1209 | 3.6754 | 19450 | 0.2952 |
|
| 183 |
+
| 0.1146 | 3.6848 | 19500 | 0.2956 |
|
| 184 |
+
| 0.115 | 3.6943 | 19550 | 0.2950 |
|
| 185 |
+
| 0.1285 | 3.7037 | 19600 | 0.2938 |
|
| 186 |
+
| 0.1174 | 3.7132 | 19650 | 0.2950 |
|
| 187 |
+
| 0.1279 | 3.7226 | 19700 | 0.2951 |
|
| 188 |
+
| 0.1156 | 3.7320 | 19750 | 0.2951 |
|
| 189 |
+
| 0.121 | 3.7415 | 19800 | 0.2950 |
|
| 190 |
+
| 0.1146 | 3.7509 | 19850 | 0.2958 |
|
| 191 |
+
| 0.1254 | 3.7604 | 19900 | 0.2965 |
|
| 192 |
+
| 0.1232 | 3.7698 | 19950 | 0.2944 |
|
| 193 |
+
| 0.1165 | 3.7793 | 20000 | 0.2960 |
|
| 194 |
+
| 0.1173 | 3.7887 | 20050 | 0.2970 |
|
| 195 |
+
| 0.119 | 3.7982 | 20100 | 0.2963 |
|
| 196 |
+
| 0.13 | 3.8076 | 20150 | 0.2952 |
|
| 197 |
+
| 0.1229 | 3.8171 | 20200 | 0.2954 |
|
| 198 |
+
| 0.1157 | 3.8265 | 20250 | 0.2957 |
|
| 199 |
+
| 0.1176 | 3.8360 | 20300 | 0.2944 |
|
| 200 |
+
| 0.1226 | 3.8454 | 20350 | 0.2940 |
|
| 201 |
+
| 0.1147 | 3.8549 | 20400 | 0.2944 |
|
| 202 |
+
| 0.1285 | 3.8643 | 20450 | 0.2944 |
|
| 203 |
+
| 0.1241 | 3.8738 | 20500 | 0.2939 |
|
| 204 |
+
| 0.119 | 3.8832 | 20550 | 0.2941 |
|
| 205 |
+
| 0.1119 | 3.8927 | 20600 | 0.2946 |
|
| 206 |
+
| 0.1159 | 3.9021 | 20650 | 0.2944 |
|
| 207 |
+
| 0.1282 | 3.9116 | 20700 | 0.2943 |
|
| 208 |
+
| 0.1202 | 3.9210 | 20750 | 0.2939 |
|
| 209 |
+
| 0.1202 | 3.9305 | 20800 | 0.2940 |
|
| 210 |
+
| 0.1264 | 3.9399 | 20850 | 0.2941 |
|
| 211 |
+
| 0.13 | 3.9494 | 20900 | 0.2940 |
|
| 212 |
+
| 0.1146 | 3.9588 | 20950 | 0.2938 |
|
| 213 |
+
| 0.1222 | 3.9683 | 21000 | 0.2937 |
|
| 214 |
+
| 0.1225 | 3.9777 | 21050 | 0.2937 |
|
| 215 |
+
| 0.1189 | 3.9872 | 21100 | 0.2938 |
|
| 216 |
+
| 0.1181 | 3.9966 | 21150 | 0.2938 |
|
| 217 |
|
| 218 |
|
| 219 |
### Framework versions
|
| 220 |
|
| 221 |
- PEFT 0.12.0
|
| 222 |
- Transformers 4.44.2
|
| 223 |
+
- Pytorch 2.4.0+cu121
|
| 224 |
- Datasets 2.21.0
|
| 225 |
- Tokenizers 0.19.1
|
adapter_config.json
CHANGED
|
@@ -21,12 +21,12 @@
|
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
"q_proj",
|
| 24 |
-
"v_proj",
|
| 25 |
-
"up_proj",
|
| 26 |
"o_proj",
|
| 27 |
-
"
|
| 28 |
"down_proj",
|
| 29 |
-
"
|
|
|
|
|
|
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
|
|
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
"q_proj",
|
|
|
|
|
|
|
| 24 |
"o_proj",
|
| 25 |
+
"up_proj",
|
| 26 |
"down_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"v_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 sha256:7cd009a8257e9b9b5fa6ac606fdd53693a69e452d0478fe887e1ab9a883915bb
|
| 3 |
size 2332095256
|
runs/Sep02_06-31-53_127b607224fc/events.out.tfevents.1725258724.127b607224fc.1097.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0dbfc07d8abc9d88b1b5909f077f3bb573c8e7d25cfb69f890fe2818bf337f01
|
| 3 |
+
size 140783
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61c807f9b2a369f918ad5be9d53dedd123954997deba0bbf897ff305686599c6
|
| 3 |
size 5496
|