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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@@ -50,205 +50,205 @@ 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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### Framework versions
|
|
|
|
| 18 |
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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:
|
| 21 |
+
- Loss: 0.2749
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 52 |
|:-------------:|:-----:|:-----:|:---------------:|
|
| 53 |
+
| 0.2455 | 1.79 | 8000 | 0.2632 |
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| 0.2552 | 1.8 | 8050 | 0.2620 |
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| 0.2698 | 1.81 | 8100 | 0.2626 |
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| 0.2466 | 1.82 | 8150 | 0.2608 |
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| 0.2377 | 1.83 | 8200 | 0.2614 |
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| 58 |
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| 0.288 | 1.84 | 8250 | 0.2610 |
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| 0.2525 | 1.85 | 8300 | 0.2591 |
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| 0.2429 | 1.87 | 8350 | 0.2585 |
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| 0.259 | 1.88 | 8400 | 0.2591 |
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| 0.2663 | 1.89 | 8450 | 0.2594 |
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| 0.2324 | 1.9 | 8500 | 0.2591 |
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| 0.272 | 1.91 | 8550 | 0.2598 |
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| 0.2533 | 1.92 | 8600 | 0.2589 |
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| 0.2558 | 1.93 | 8650 | 0.2564 |
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| 0.2598 | 1.94 | 8700 | 0.2563 |
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| 0.2663 | 1.95 | 8750 | 0.2552 |
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| 0.2165 | 1.97 | 8800 | 0.2552 |
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| 0.2304 | 1.98 | 8850 | 0.2554 |
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| 0.2378 | 1.99 | 8900 | 0.2563 |
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| 0.2273 | 2.0 | 8950 | 0.2550 |
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| 0.1832 | 2.01 | 9000 | 0.2651 |
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| 0.1722 | 2.02 | 9050 | 0.2649 |
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| 0.179 | 2.03 | 9100 | 0.2682 |
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| 0.1864 | 2.04 | 9150 | 0.2661 |
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| 0.1829 | 2.05 | 9200 | 0.2652 |
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| 0.191 | 2.07 | 9250 | 0.2697 |
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| 0.2027 | 2.08 | 9300 | 0.2691 |
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| 0.1889 | 2.09 | 9350 | 0.2675 |
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| 0.1867 | 2.1 | 9400 | 0.2667 |
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| 0.1797 | 2.11 | 9450 | 0.2652 |
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| 0.1898 | 2.12 | 9500 | 0.2675 |
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| 0.1773 | 2.13 | 9550 | 0.2693 |
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| 0.2088 | 2.14 | 9600 | 0.2685 |
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| 0.1927 | 2.16 | 9650 | 0.2647 |
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| 0.1886 | 2.17 | 9700 | 0.2654 |
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| 0.1793 | 2.18 | 9750 | 0.2664 |
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| 0.1761 | 2.19 | 9800 | 0.2658 |
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| 0.1897 | 2.2 | 9850 | 0.2672 |
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| 0.1904 | 2.21 | 9900 | 0.2647 |
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| 0.1678 | 2.22 | 9950 | 0.2643 |
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| 0.1831 | 2.23 | 10000 | 0.2636 |
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| 0.185 | 2.24 | 10050 | 0.2636 |
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| 0.1859 | 2.26 | 10100 | 0.2674 |
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| 0.1787 | 2.27 | 10150 | 0.2669 |
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| 0.1819 | 2.28 | 10200 | 0.2648 |
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| 0.1899 | 2.29 | 10250 | 0.2618 |
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| 0.1732 | 2.3 | 10300 | 0.2654 |
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| 0.1928 | 2.31 | 10350 | 0.2633 |
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| 0.1681 | 2.32 | 10400 | 0.2659 |
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| 0.1765 | 2.33 | 10450 | 0.2659 |
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| 0.1706 | 2.35 | 10500 | 0.2654 |
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| 0.1786 | 2.36 | 10550 | 0.2661 |
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| 0.1734 | 2.37 | 10600 | 0.2639 |
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| 0.1776 | 2.38 | 10650 | 0.2633 |
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| 0.1592 | 2.39 | 10700 | 0.2631 |
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| 0.1684 | 2.4 | 10750 | 0.2622 |
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| 0.1604 | 2.41 | 10800 | 0.2637 |
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| 0.1822 | 2.42 | 10850 | 0.2621 |
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| 0.1892 | 2.43 | 10900 | 0.2627 |
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| 0.1869 | 2.45 | 10950 | 0.2614 |
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| 113 |
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| 0.1967 | 2.46 | 11000 | 0.2611 |
|
| 114 |
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| 0.2103 | 2.47 | 11050 | 0.2608 |
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| 0.1778 | 2.48 | 11100 | 0.2609 |
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| 116 |
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| 0.1794 | 2.49 | 11150 | 0.2611 |
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| 117 |
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| 0.1823 | 2.5 | 11200 | 0.2599 |
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| 118 |
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| 0.1992 | 2.51 | 11250 | 0.2598 |
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| 119 |
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| 0.1686 | 2.52 | 11300 | 0.2617 |
|
| 120 |
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| 0.1892 | 2.54 | 11350 | 0.2619 |
|
| 121 |
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| 0.1962 | 2.55 | 11400 | 0.2599 |
|
| 122 |
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| 0.1765 | 2.56 | 11450 | 0.2604 |
|
| 123 |
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| 0.1749 | 2.57 | 11500 | 0.2605 |
|
| 124 |
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| 0.178 | 2.58 | 11550 | 0.2603 |
|
| 125 |
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| 0.1844 | 2.59 | 11600 | 0.2605 |
|
| 126 |
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| 0.1896 | 2.6 | 11650 | 0.2587 |
|
| 127 |
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| 0.1866 | 2.61 | 11700 | 0.2593 |
|
| 128 |
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| 0.1636 | 2.62 | 11750 | 0.2595 |
|
| 129 |
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| 0.1674 | 2.64 | 11800 | 0.2600 |
|
| 130 |
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| 0.1822 | 2.65 | 11850 | 0.2573 |
|
| 131 |
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| 0.1828 | 2.66 | 11900 | 0.2586 |
|
| 132 |
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| 0.1731 | 2.67 | 11950 | 0.2590 |
|
| 133 |
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| 0.1772 | 2.68 | 12000 | 0.2592 |
|
| 134 |
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| 0.1921 | 2.69 | 12050 | 0.2575 |
|
| 135 |
+
| 0.199 | 2.7 | 12100 | 0.2614 |
|
| 136 |
+
| 0.1606 | 2.71 | 12150 | 0.2593 |
|
| 137 |
+
| 0.1691 | 2.73 | 12200 | 0.2587 |
|
| 138 |
+
| 0.1681 | 2.74 | 12250 | 0.2602 |
|
| 139 |
+
| 0.1904 | 2.75 | 12300 | 0.2570 |
|
| 140 |
+
| 0.1845 | 2.76 | 12350 | 0.2566 |
|
| 141 |
+
| 0.1856 | 2.77 | 12400 | 0.2561 |
|
| 142 |
+
| 0.1725 | 2.78 | 12450 | 0.2561 |
|
| 143 |
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| 0.1743 | 2.79 | 12500 | 0.2565 |
|
| 144 |
+
| 0.1676 | 2.8 | 12550 | 0.2561 |
|
| 145 |
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| 0.185 | 2.81 | 12600 | 0.2557 |
|
| 146 |
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| 0.1689 | 2.83 | 12650 | 0.2568 |
|
| 147 |
+
| 0.1648 | 2.84 | 12700 | 0.2571 |
|
| 148 |
+
| 0.1861 | 2.85 | 12750 | 0.2545 |
|
| 149 |
+
| 0.1601 | 2.86 | 12800 | 0.2560 |
|
| 150 |
+
| 0.185 | 2.87 | 12850 | 0.2554 |
|
| 151 |
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| 0.1664 | 2.88 | 12900 | 0.2555 |
|
| 152 |
+
| 0.1772 | 2.89 | 12950 | 0.2555 |
|
| 153 |
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| 0.1781 | 2.9 | 13000 | 0.2557 |
|
| 154 |
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| 0.1695 | 2.91 | 13050 | 0.2536 |
|
| 155 |
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| 0.1707 | 2.93 | 13100 | 0.2565 |
|
| 156 |
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| 0.1559 | 2.94 | 13150 | 0.2556 |
|
| 157 |
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| 0.1721 | 2.95 | 13200 | 0.2554 |
|
| 158 |
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| 0.1643 | 2.96 | 13250 | 0.2547 |
|
| 159 |
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| 0.1712 | 2.97 | 13300 | 0.2553 |
|
| 160 |
+
| 0.1638 | 2.98 | 13350 | 0.2556 |
|
| 161 |
+
| 0.1863 | 2.99 | 13400 | 0.2547 |
|
| 162 |
+
| 0.1668 | 3.0 | 13450 | 0.2602 |
|
| 163 |
+
| 0.1197 | 3.02 | 13500 | 0.2729 |
|
| 164 |
+
| 0.1314 | 3.03 | 13550 | 0.2765 |
|
| 165 |
+
| 0.1165 | 3.04 | 13600 | 0.2741 |
|
| 166 |
+
| 0.122 | 3.05 | 13650 | 0.2748 |
|
| 167 |
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| 0.1237 | 3.06 | 13700 | 0.2740 |
|
| 168 |
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| 0.1241 | 3.07 | 13750 | 0.2766 |
|
| 169 |
+
| 0.1234 | 3.08 | 13800 | 0.2766 |
|
| 170 |
+
| 0.1178 | 3.09 | 13850 | 0.2772 |
|
| 171 |
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| 0.1225 | 3.1 | 13900 | 0.2772 |
|
| 172 |
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| 0.1133 | 3.12 | 13950 | 0.2794 |
|
| 173 |
+
| 0.1166 | 3.13 | 14000 | 0.2777 |
|
| 174 |
+
| 0.1237 | 3.14 | 14050 | 0.2784 |
|
| 175 |
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| 0.1267 | 3.15 | 14100 | 0.2772 |
|
| 176 |
+
| 0.1256 | 3.16 | 14150 | 0.2784 |
|
| 177 |
+
| 0.1243 | 3.17 | 14200 | 0.2762 |
|
| 178 |
+
| 0.108 | 3.18 | 14250 | 0.2792 |
|
| 179 |
+
| 0.1236 | 3.19 | 14300 | 0.2791 |
|
| 180 |
+
| 0.132 | 3.21 | 14350 | 0.2765 |
|
| 181 |
+
| 0.1207 | 3.22 | 14400 | 0.2753 |
|
| 182 |
+
| 0.1307 | 3.23 | 14450 | 0.2754 |
|
| 183 |
+
| 0.12 | 3.24 | 14500 | 0.2787 |
|
| 184 |
+
| 0.1219 | 3.25 | 14550 | 0.2738 |
|
| 185 |
+
| 0.1254 | 3.26 | 14600 | 0.2768 |
|
| 186 |
+
| 0.1337 | 3.27 | 14650 | 0.2749 |
|
| 187 |
+
| 0.1221 | 3.28 | 14700 | 0.2767 |
|
| 188 |
+
| 0.1266 | 3.29 | 14750 | 0.2744 |
|
| 189 |
+
| 0.1238 | 3.31 | 14800 | 0.2769 |
|
| 190 |
+
| 0.1266 | 3.32 | 14850 | 0.2731 |
|
| 191 |
+
| 0.1311 | 3.33 | 14900 | 0.2764 |
|
| 192 |
+
| 0.1184 | 3.34 | 14950 | 0.2767 |
|
| 193 |
+
| 0.1187 | 3.35 | 15000 | 0.2771 |
|
| 194 |
+
| 0.1186 | 3.36 | 15050 | 0.2777 |
|
| 195 |
+
| 0.1248 | 3.37 | 15100 | 0.2744 |
|
| 196 |
+
| 0.117 | 3.38 | 15150 | 0.2775 |
|
| 197 |
+
| 0.1195 | 3.4 | 15200 | 0.2793 |
|
| 198 |
+
| 0.1296 | 3.41 | 15250 | 0.2774 |
|
| 199 |
+
| 0.1211 | 3.42 | 15300 | 0.2766 |
|
| 200 |
+
| 0.1393 | 3.43 | 15350 | 0.2781 |
|
| 201 |
+
| 0.1203 | 3.44 | 15400 | 0.2782 |
|
| 202 |
+
| 0.1188 | 3.45 | 15450 | 0.2774 |
|
| 203 |
+
| 0.1175 | 3.46 | 15500 | 0.2782 |
|
| 204 |
+
| 0.1174 | 3.47 | 15550 | 0.2772 |
|
| 205 |
+
| 0.1249 | 3.48 | 15600 | 0.2760 |
|
| 206 |
+
| 0.1153 | 3.5 | 15650 | 0.2765 |
|
| 207 |
+
| 0.1142 | 3.51 | 15700 | 0.2769 |
|
| 208 |
+
| 0.1209 | 3.52 | 15750 | 0.2770 |
|
| 209 |
+
| 0.1156 | 3.53 | 15800 | 0.2772 |
|
| 210 |
+
| 0.1478 | 3.54 | 15850 | 0.2746 |
|
| 211 |
+
| 0.1138 | 3.55 | 15900 | 0.2756 |
|
| 212 |
+
| 0.1261 | 3.56 | 15950 | 0.2774 |
|
| 213 |
+
| 0.1255 | 3.57 | 16000 | 0.2763 |
|
| 214 |
+
| 0.1175 | 3.58 | 16050 | 0.2764 |
|
| 215 |
+
| 0.1182 | 3.6 | 16100 | 0.2759 |
|
| 216 |
+
| 0.1178 | 3.61 | 16150 | 0.2767 |
|
| 217 |
+
| 0.1172 | 3.62 | 16200 | 0.2764 |
|
| 218 |
+
| 0.1163 | 3.63 | 16250 | 0.2761 |
|
| 219 |
+
| 0.1148 | 3.64 | 16300 | 0.2750 |
|
| 220 |
+
| 0.1129 | 3.65 | 16350 | 0.2748 |
|
| 221 |
+
| 0.1211 | 3.66 | 16400 | 0.2748 |
|
| 222 |
+
| 0.1121 | 3.67 | 16450 | 0.2762 |
|
| 223 |
+
| 0.114 | 3.69 | 16500 | 0.2753 |
|
| 224 |
+
| 0.1351 | 3.7 | 16550 | 0.2757 |
|
| 225 |
+
| 0.1223 | 3.71 | 16600 | 0.2758 |
|
| 226 |
+
| 0.1343 | 3.72 | 16650 | 0.2763 |
|
| 227 |
+
| 0.1236 | 3.73 | 16700 | 0.2764 |
|
| 228 |
+
| 0.1281 | 3.74 | 16750 | 0.2757 |
|
| 229 |
+
| 0.1279 | 3.75 | 16800 | 0.2755 |
|
| 230 |
+
| 0.1186 | 3.76 | 16850 | 0.2748 |
|
| 231 |
+
| 0.1167 | 3.77 | 16900 | 0.2759 |
|
| 232 |
+
| 0.1204 | 3.79 | 16950 | 0.2763 |
|
| 233 |
+
| 0.1118 | 3.8 | 17000 | 0.2772 |
|
| 234 |
+
| 0.1081 | 3.81 | 17050 | 0.2761 |
|
| 235 |
+
| 0.1224 | 3.82 | 17100 | 0.2746 |
|
| 236 |
+
| 0.116 | 3.83 | 17150 | 0.2749 |
|
| 237 |
+
| 0.1301 | 3.84 | 17200 | 0.2749 |
|
| 238 |
+
| 0.116 | 3.85 | 17250 | 0.2749 |
|
| 239 |
+
| 0.1182 | 3.86 | 17300 | 0.2751 |
|
| 240 |
+
| 0.1256 | 3.88 | 17350 | 0.2751 |
|
| 241 |
+
| 0.1199 | 3.89 | 17400 | 0.2752 |
|
| 242 |
+
| 0.1113 | 3.9 | 17450 | 0.2752 |
|
| 243 |
+
| 0.1202 | 3.91 | 17500 | 0.2750 |
|
| 244 |
+
| 0.1182 | 3.92 | 17550 | 0.2749 |
|
| 245 |
+
| 0.1195 | 3.93 | 17600 | 0.2749 |
|
| 246 |
+
| 0.1154 | 3.94 | 17650 | 0.2747 |
|
| 247 |
+
| 0.1163 | 3.95 | 17700 | 0.2750 |
|
| 248 |
+
| 0.1121 | 3.96 | 17750 | 0.2750 |
|
| 249 |
+
| 0.1172 | 3.98 | 17800 | 0.2749 |
|
| 250 |
+
| 0.1176 | 3.99 | 17850 | 0.2749 |
|
| 251 |
+
| 0.1127 | 4.0 | 17900 | 0.2749 |
|
| 252 |
|
| 253 |
|
| 254 |
### Framework versions
|
adapter_config.json
CHANGED
|
@@ -20,13 +20,13 @@
|
|
| 20 |
"rank_pattern": {},
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
-
"up_proj",
|
| 24 |
-
"q_proj",
|
| 25 |
"k_proj",
|
|
|
|
|
|
|
| 26 |
"down_proj",
|
|
|
|
| 27 |
"o_proj",
|
| 28 |
-
"
|
| 29 |
-
"gate_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
|
|
|
| 20 |
"rank_pattern": {},
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
|
|
|
|
|
|
| 23 |
"k_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"v_proj",
|
| 26 |
"down_proj",
|
| 27 |
+
"q_proj",
|
| 28 |
"o_proj",
|
| 29 |
+
"up_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:fe185e216c617ae676c0d2a9df485c4e64096491ab54078bfe413bd2af976a95
|
| 3 |
size 2332095256
|
runs/Apr05_11-25-59_f35651a1a25c/events.out.tfevents.1712316366.f35651a1a25c.156151.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e5d7ca18b394d25895faa0dd459df8a0acfc9863db029dc5cb0cc2ead0aa5e2
|
| 3 |
+
size 135294
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8765121662e049921f72bb4ec4adef239dd4dc97201b82140962ef3d0c818d7f
|
| 3 |
size 4984
|