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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@@ -50,190 +50,170 @@ 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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| 0.115 | 3.8267 | 21900 | 0.2986 |
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| 0.1188 | 3.8354 | 21950 | 0.2979 |
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| 0.1177 | 3.8441 | 22000 | 0.2975 |
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| 214 |
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| 0.1289 | 3.8529 | 22050 | 0.2976 |
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| 215 |
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| 0.1218 | 3.8616 | 22100 | 0.2980 |
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| 216 |
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| 0.1176 | 3.8703 | 22150 | 0.2979 |
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| 217 |
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| 0.1347 | 3.8791 | 22200 | 0.2977 |
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| 218 |
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| 0.1375 | 3.8878 | 22250 | 0.2968 |
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| 219 |
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| 0.1191 | 3.8966 | 22300 | 0.2968 |
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| 0.1147 | 3.9053 | 22350 | 0.2966 |
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| 221 |
-
| 0.1323 | 3.9140 | 22400 | 0.2969 |
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| 222 |
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| 0.1382 | 3.9228 | 22450 | 0.2970 |
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| 0.1308 | 3.9315 | 22500 | 0.2973 |
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| 224 |
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| 0.1263 | 3.9402 | 22550 | 0.2970 |
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| 225 |
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| 0.1266 | 3.9490 | 22600 | 0.2966 |
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| 226 |
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| 0.1121 | 3.9577 | 22650 | 0.2965 |
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| 227 |
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| 0.1199 | 3.9665 | 22700 | 0.2966 |
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| 0.1159 | 3.9752 | 22750 | 0.2964 |
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| 229 |
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| 0.1297 | 3.9839 | 22800 | 0.2965 |
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| 0.1214 | 3.9927 | 22850 | 0.2965 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.42.
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- Pytorch 2.3.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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|
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| 19 |
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:
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| 21 |
+
- Loss: 0.2962
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| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 50 |
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| Training Loss | Epoch | Step | Validation Loss |
|
| 52 |
|:-------------:|:------:|:-----:|:---------------:|
|
| 53 |
+
| 0.1783 | 2.6210 | 15000 | 0.2850 |
|
| 54 |
+
| 0.2042 | 2.6297 | 15050 | 0.2836 |
|
| 55 |
+
| 0.1922 | 2.6385 | 15100 | 0.2850 |
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| 56 |
+
| 0.2053 | 2.6472 | 15150 | 0.2843 |
|
| 57 |
+
| 0.1822 | 2.6559 | 15200 | 0.2850 |
|
| 58 |
+
| 0.1842 | 2.6647 | 15250 | 0.2846 |
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| 59 |
+
| 0.1901 | 2.6734 | 15300 | 0.2821 |
|
| 60 |
+
| 0.2031 | 2.6822 | 15350 | 0.2823 |
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| 61 |
+
| 0.1693 | 2.6909 | 15400 | 0.2825 |
|
| 62 |
+
| 0.1768 | 2.6996 | 15450 | 0.2830 |
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| 63 |
+
| 0.1938 | 2.7084 | 15500 | 0.2841 |
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| 64 |
+
| 0.197 | 2.7171 | 15550 | 0.2823 |
|
| 65 |
+
| 0.1857 | 2.7258 | 15600 | 0.2835 |
|
| 66 |
+
| 0.183 | 2.7346 | 15650 | 0.2831 |
|
| 67 |
+
| 0.1922 | 2.7433 | 15700 | 0.2836 |
|
| 68 |
+
| 0.2197 | 2.7521 | 15750 | 0.2809 |
|
| 69 |
+
| 0.1786 | 2.7608 | 15800 | 0.2813 |
|
| 70 |
+
| 0.1866 | 2.7695 | 15850 | 0.2823 |
|
| 71 |
+
| 0.1895 | 2.7783 | 15900 | 0.2817 |
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| 72 |
+
| 0.1854 | 2.7870 | 15950 | 0.2816 |
|
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+
| 0.1958 | 2.7957 | 16000 | 0.2840 |
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+
| 0.175 | 2.8045 | 16050 | 0.2830 |
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| 0.2112 | 2.8132 | 16100 | 0.2805 |
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| 0.1931 | 2.8219 | 16150 | 0.2830 |
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| 0.1953 | 2.8307 | 16200 | 0.2822 |
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| 0.1904 | 2.8394 | 16250 | 0.2830 |
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| 79 |
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| 0.1913 | 2.8482 | 16300 | 0.2811 |
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| 0.1761 | 2.8569 | 16350 | 0.2814 |
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| 81 |
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| 0.1972 | 2.8656 | 16400 | 0.2819 |
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| 0.2188 | 2.8744 | 16450 | 0.2801 |
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| 83 |
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| 0.1888 | 2.8831 | 16500 | 0.2812 |
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| 84 |
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| 0.1951 | 2.8918 | 16550 | 0.2792 |
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| 0.199 | 2.9006 | 16600 | 0.2809 |
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| 86 |
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| 0.216 | 2.9093 | 16650 | 0.2798 |
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| 0.1954 | 2.9180 | 16700 | 0.2802 |
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| 88 |
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| 0.1747 | 2.9268 | 16750 | 0.2816 |
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| 89 |
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| 0.1631 | 2.9355 | 16800 | 0.2816 |
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| 90 |
+
| 0.1875 | 2.9443 | 16850 | 0.2800 |
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| 91 |
+
| 0.1959 | 2.9530 | 16900 | 0.2798 |
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| 92 |
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| 0.1824 | 2.9617 | 16950 | 0.2796 |
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| 93 |
+
| 0.1838 | 2.9705 | 17000 | 0.2796 |
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| 94 |
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| 0.1954 | 2.9792 | 17050 | 0.2803 |
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| 95 |
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| 0.1941 | 2.9879 | 17100 | 0.2779 |
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| 96 |
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| 0.1727 | 2.9967 | 17150 | 0.2790 |
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| 97 |
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| 0.1544 | 3.0054 | 17200 | 0.2890 |
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| 0.1178 | 3.0142 | 17250 | 0.2980 |
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| 99 |
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| 0.126 | 3.0229 | 17300 | 0.2999 |
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| 0.1133 | 3.0316 | 17350 | 0.2983 |
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| 0.1442 | 3.0404 | 17400 | 0.2994 |
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| 102 |
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| 0.1201 | 3.0491 | 17450 | 0.3002 |
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| 103 |
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| 0.1264 | 3.0578 | 17500 | 0.2985 |
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| 104 |
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| 0.148 | 3.0666 | 17550 | 0.2993 |
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| 105 |
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| 0.1367 | 3.0753 | 17600 | 0.2987 |
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| 106 |
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| 0.1225 | 3.0840 | 17650 | 0.3007 |
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| 107 |
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| 0.1323 | 3.0928 | 17700 | 0.3005 |
|
| 108 |
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| 0.1286 | 3.1015 | 17750 | 0.3022 |
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| 109 |
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| 0.1181 | 3.1103 | 17800 | 0.3011 |
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| 110 |
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| 0.1379 | 3.1190 | 17850 | 0.2992 |
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| 111 |
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| 0.1331 | 3.1277 | 17900 | 0.3011 |
|
| 112 |
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| 0.1132 | 3.1365 | 17950 | 0.3037 |
|
| 113 |
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| 0.1232 | 3.1452 | 18000 | 0.3004 |
|
| 114 |
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| 0.1273 | 3.1539 | 18050 | 0.3008 |
|
| 115 |
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| 0.1232 | 3.1627 | 18100 | 0.3000 |
|
| 116 |
+
| 0.1325 | 3.1714 | 18150 | 0.3011 |
|
| 117 |
+
| 0.1296 | 3.1802 | 18200 | 0.3005 |
|
| 118 |
+
| 0.1135 | 3.1889 | 18250 | 0.3011 |
|
| 119 |
+
| 0.1237 | 3.1976 | 18300 | 0.2999 |
|
| 120 |
+
| 0.1379 | 3.2064 | 18350 | 0.2991 |
|
| 121 |
+
| 0.1278 | 3.2151 | 18400 | 0.3003 |
|
| 122 |
+
| 0.1354 | 3.2238 | 18450 | 0.2991 |
|
| 123 |
+
| 0.1234 | 3.2326 | 18500 | 0.3011 |
|
| 124 |
+
| 0.1315 | 3.2413 | 18550 | 0.3025 |
|
| 125 |
+
| 0.1173 | 3.2500 | 18600 | 0.3021 |
|
| 126 |
+
| 0.1358 | 3.2588 | 18650 | 0.3016 |
|
| 127 |
+
| 0.1383 | 3.2675 | 18700 | 0.2977 |
|
| 128 |
+
| 0.1294 | 3.2763 | 18750 | 0.2982 |
|
| 129 |
+
| 0.1372 | 3.2850 | 18800 | 0.2975 |
|
| 130 |
+
| 0.1269 | 3.2937 | 18850 | 0.3013 |
|
| 131 |
+
| 0.1338 | 3.3025 | 18900 | 0.2978 |
|
| 132 |
+
| 0.1317 | 3.3112 | 18950 | 0.3032 |
|
| 133 |
+
| 0.1179 | 3.3199 | 19000 | 0.2985 |
|
| 134 |
+
| 0.142 | 3.3287 | 19050 | 0.2959 |
|
| 135 |
+
| 0.1369 | 3.3374 | 19100 | 0.2995 |
|
| 136 |
+
| 0.1237 | 3.3461 | 19150 | 0.2990 |
|
| 137 |
+
| 0.1311 | 3.3549 | 19200 | 0.3002 |
|
| 138 |
+
| 0.1287 | 3.3636 | 19250 | 0.2995 |
|
| 139 |
+
| 0.1319 | 3.3724 | 19300 | 0.2988 |
|
| 140 |
+
| 0.1262 | 3.3811 | 19350 | 0.2972 |
|
| 141 |
+
| 0.129 | 3.3898 | 19400 | 0.3001 |
|
| 142 |
+
| 0.1342 | 3.3986 | 19450 | 0.2977 |
|
| 143 |
+
| 0.1396 | 3.4073 | 19500 | 0.2962 |
|
| 144 |
+
| 0.1238 | 3.4160 | 19550 | 0.2959 |
|
| 145 |
+
| 0.1195 | 3.4248 | 19600 | 0.2961 |
|
| 146 |
+
| 0.1157 | 3.4335 | 19650 | 0.2987 |
|
| 147 |
+
| 0.1121 | 3.4423 | 19700 | 0.2993 |
|
| 148 |
+
| 0.1287 | 3.4510 | 19750 | 0.3004 |
|
| 149 |
+
| 0.122 | 3.4597 | 19800 | 0.2997 |
|
| 150 |
+
| 0.1232 | 3.4685 | 19850 | 0.2990 |
|
| 151 |
+
| 0.1408 | 3.4772 | 19900 | 0.2953 |
|
| 152 |
+
| 0.1335 | 3.4859 | 19950 | 0.2980 |
|
| 153 |
+
| 0.1291 | 3.4947 | 20000 | 0.2982 |
|
| 154 |
+
| 0.1172 | 3.5034 | 20050 | 0.2978 |
|
| 155 |
+
| 0.1175 | 3.5121 | 20100 | 0.2963 |
|
| 156 |
+
| 0.1406 | 3.5209 | 20150 | 0.2950 |
|
| 157 |
+
| 0.1318 | 3.5296 | 20200 | 0.2967 |
|
| 158 |
+
| 0.1339 | 3.5384 | 20250 | 0.2964 |
|
| 159 |
+
| 0.1265 | 3.5471 | 20300 | 0.2960 |
|
| 160 |
+
| 0.1295 | 3.5558 | 20350 | 0.2979 |
|
| 161 |
+
| 0.1241 | 3.5646 | 20400 | 0.2978 |
|
| 162 |
+
| 0.1148 | 3.5733 | 20450 | 0.2976 |
|
| 163 |
+
| 0.1279 | 3.5820 | 20500 | 0.2967 |
|
| 164 |
+
| 0.1354 | 3.5908 | 20550 | 0.2979 |
|
| 165 |
+
| 0.1346 | 3.5995 | 20600 | 0.2993 |
|
| 166 |
+
| 0.1335 | 3.6082 | 20650 | 0.2988 |
|
| 167 |
+
| 0.1264 | 3.6170 | 20700 | 0.2980 |
|
| 168 |
+
| 0.1224 | 3.6257 | 20750 | 0.2979 |
|
| 169 |
+
| 0.1261 | 3.6345 | 20800 | 0.2993 |
|
| 170 |
+
| 0.115 | 3.6432 | 20850 | 0.2983 |
|
| 171 |
+
| 0.1254 | 3.6519 | 20900 | 0.2983 |
|
| 172 |
+
| 0.1253 | 3.6607 | 20950 | 0.2982 |
|
| 173 |
+
| 0.1176 | 3.6694 | 21000 | 0.2982 |
|
| 174 |
+
| 0.1214 | 3.6781 | 21050 | 0.2984 |
|
| 175 |
+
| 0.1285 | 3.6869 | 21100 | 0.2980 |
|
| 176 |
+
| 0.1265 | 3.6956 | 21150 | 0.2979 |
|
| 177 |
+
| 0.1266 | 3.7044 | 21200 | 0.2957 |
|
| 178 |
+
| 0.1212 | 3.7131 | 21250 | 0.2961 |
|
| 179 |
+
| 0.1283 | 3.7218 | 21300 | 0.2957 |
|
| 180 |
+
| 0.1251 | 3.7306 | 21350 | 0.2962 |
|
| 181 |
+
| 0.136 | 3.7393 | 21400 | 0.2973 |
|
| 182 |
+
| 0.1206 | 3.7480 | 21450 | 0.2963 |
|
| 183 |
+
| 0.1316 | 3.7568 | 21500 | 0.2977 |
|
| 184 |
+
| 0.1163 | 3.7655 | 21550 | 0.2996 |
|
| 185 |
+
| 0.1152 | 3.7742 | 21600 | 0.2998 |
|
| 186 |
+
| 0.1268 | 3.7830 | 21650 | 0.2992 |
|
| 187 |
+
| 0.1268 | 3.7917 | 21700 | 0.2978 |
|
| 188 |
+
| 0.1169 | 3.8005 | 21750 | 0.2974 |
|
| 189 |
+
| 0.126 | 3.8092 | 21800 | 0.2980 |
|
| 190 |
+
| 0.1112 | 3.8179 | 21850 | 0.2978 |
|
| 191 |
+
| 0.1152 | 3.8267 | 21900 | 0.2972 |
|
| 192 |
+
| 0.1181 | 3.8354 | 21950 | 0.2967 |
|
| 193 |
+
| 0.1177 | 3.8441 | 22000 | 0.2968 |
|
| 194 |
+
| 0.1308 | 3.8529 | 22050 | 0.2963 |
|
| 195 |
+
| 0.1221 | 3.8616 | 22100 | 0.2966 |
|
| 196 |
+
| 0.1187 | 3.8703 | 22150 | 0.2966 |
|
| 197 |
+
| 0.1326 | 3.8791 | 22200 | 0.2967 |
|
| 198 |
+
| 0.1363 | 3.8878 | 22250 | 0.2961 |
|
| 199 |
+
| 0.1178 | 3.8966 | 22300 | 0.2962 |
|
| 200 |
+
| 0.1126 | 3.9053 | 22350 | 0.2961 |
|
| 201 |
+
| 0.1318 | 3.9140 | 22400 | 0.2962 |
|
| 202 |
+
| 0.1404 | 3.9228 | 22450 | 0.2961 |
|
| 203 |
+
| 0.1299 | 3.9315 | 22500 | 0.2965 |
|
| 204 |
+
| 0.1245 | 3.9402 | 22550 | 0.2966 |
|
| 205 |
+
| 0.1259 | 3.9490 | 22600 | 0.2962 |
|
| 206 |
+
| 0.1116 | 3.9577 | 22650 | 0.2963 |
|
| 207 |
+
| 0.1176 | 3.9665 | 22700 | 0.2963 |
|
| 208 |
+
| 0.117 | 3.9752 | 22750 | 0.2961 |
|
| 209 |
+
| 0.1287 | 3.9839 | 22800 | 0.2962 |
|
| 210 |
+
| 0.1162 | 3.9927 | 22850 | 0.2962 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 211 |
|
| 212 |
|
| 213 |
### Framework versions
|
| 214 |
|
| 215 |
- PEFT 0.11.1
|
| 216 |
+
- Transformers 4.42.4
|
| 217 |
+
- Pytorch 2.3.1+cu121
|
| 218 |
- Datasets 2.20.0
|
| 219 |
- Tokenizers 0.19.1
|
adapter_config.json
CHANGED
|
@@ -20,12 +20,12 @@
|
|
| 20 |
"rank_pattern": {},
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
-
"o_proj",
|
| 24 |
-
"v_proj",
|
| 25 |
-
"k_proj",
|
| 26 |
-
"gate_proj",
|
| 27 |
"up_proj",
|
|
|
|
| 28 |
"q_proj",
|
|
|
|
|
|
|
|
|
|
| 29 |
"down_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 20 |
"rank_pattern": {},
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
"up_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
"q_proj",
|
| 26 |
+
"gate_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"o_proj",
|
| 29 |
"down_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
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:c172962a191d8ae403868667f15a139b6261e311929f2b29e8636d64763fe573
|
| 3 |
size 2332095256
|
runs/Jul23_05-38-28_124715f1c20d/events.out.tfevents.1721713120.124715f1c20d.5547.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:669f66800a37386fa938a7ecc5dad59603467420c35a7861a2bd8d881bd3bc13
|
| 3 |
+
size 146543
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e5b4f39b2ddc4a23ad4929af2c7c3d9590396d3424f0791146a0f8fc1ae061c
|
| 3 |
size 5432
|