Instructions to use keisuke-miyako/bge-m3-doc-r2.2-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use keisuke-miyako/bge-m3-doc-r2.2-adapter with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("keisuke-miyako/bge-m3-doc-R1-merged") model = PeftModel.from_pretrained(base_model, "keisuke-miyako/bge-m3-doc-r2.2-adapter") - Notebooks
- Google Colab
- Kaggle
Download training-loss.csv from keisuke-miyako/bge-m3-doc-r2.2-adapter: direct link, hf CLI and curl.
- Browser
- Download file 3.41 kB
-
https://huggingface.co/keisuke-miyako/bge-m3-doc-r2.2-adapter/resolve/main/training-loss.csv
- Command line
-
hf download hf://keisuke-miyako/bge-m3-doc-r2.2-adapter/training-loss.csv
-
curl -L -o training-loss.csv https://huggingface.co/keisuke-miyako/bge-m3-doc-r2.2-adapter/resolve/main/training-loss.csv
3.41 kB
| step,loss | |
| 10,0.3707 | |
| 20,0.3951 | |
| 30,0.3758 | |
| 40,0.4065 | |
| 50,0.3756 | |
| 60,0.3868 | |
| 70,0.38 | |
| 80,0.3834 | |
| 90,0.3713 | |
| 100,0.3956 | |
| 110,0.3978 | |
| 120,0.3812 | |
| 130,0.376 | |
| 140,0.3724 | |
| 150,0.3558 | |
| 160,0.3635 | |
| 170,0.3724 | |
| 180,0.3347 | |
| 190,0.3686 | |
| 200,0.3377 | |
| 210,0.3302 | |
| 220,0.3478 | |
| 230,0.3416 | |
| 240,0.3175 | |
| 250,0.3504 | |
| 260,0.3011 | |
| 270,0.2939 | |
| 280,0.2888 | |
| 290,0.3006 | |
| 300,0.2781 | |
| 310,0.3243 | |
| 320,0.2932 | |
| 330,0.2656 | |
| 340,0.2985 | |
| 350,0.3335 | |
| 360,0.2773 | |
| 370,0.3045 | |
| 380,0.3341 | |
| 390,0.287 | |
| 400,0.301 | |
| 410,0.2817 | |
| 420,0.3179 | |
| 430,0.2864 | |
| 440,0.3048 | |
| 450,0.292 | |
| 460,0.3105 | |
| 470,0.2463 | |
| 480,0.3319 | |
| 490,0.2855 | |
| 500,0.2944 | |
| 510,0.2937 | |
| 520,0.2776 | |
| 530,0.2886 | |
| 540,0.2946 | |
| 550,0.2786 | |
| 560,0.3071 | |
| 570,0.2611 | |
| 580,0.3055 | |
| 590,0.2912 | |
| 600,0.293 | |
| 610,0.2727 | |
| 620,0.2453 | |
| 630,0.2739 | |
| 640,0.2776 | |
| 650,0.2804 | |
| 660,0.278 | |
| 670,0.333 | |
| 680,0.2336 | |
| 690,0.2553 | |
| 700,0.2645 | |
| 710,0.2542 | |
| 720,0.2632 | |
| 730,0.2504 | |
| 740,0.2864 | |
| 750,0.2827 | |
| 760,0.2693 | |
| 770,0.2581 | |
| 780,0.2499 | |
| 790,0.2811 | |
| 800,0.2724 | |
| 810,0.2676 | |
| 820,0.2848 | |
| 830,0.2466 | |
| 840,0.231 | |
| 850,0.2295 | |
| 860,0.2131 | |
| 870,0.234 | |
| 880,0.2314 | |
| 890,0.2873 | |
| 900,0.2594 | |
| 910,0.263 | |
| 920,0.2563 | |
| 930,0.2383 | |
| 940,0.2419 | |
| 950,0.2844 | |
| 960,0.2727 | |
| 970,0.2817 | |
| 980,0.2798 | |
| 990,0.2761 | |
| 1000,0.2752 | |
| 1010,0.2629 | |
| 1020,0.2515 | |
| 1030,0.221 | |
| 1040,0.2857 | |
| 1050,0.2869 | |
| 1060,0.2432 | |
| 1070,0.2643 | |
| 1080,0.2496 | |
| 1090,0.265 | |
| 1100,0.2342 | |
| 1110,0.246 | |
| 1120,0.2456 | |
| 1130,0.224 | |
| 1140,0.2663 | |
| 1150,0.2274 | |
| 1160,0.2622 | |
| 1170,0.236 | |
| 1180,0.2211 | |
| 1190,0.2561 | |
| 1200,0.2182 | |
| 1210,0.2503 | |
| 1220,0.2389 | |
| 1230,0.2625 | |
| 1240,0.2312 | |
| 1250,0.2049 | |
| 1260,0.2257 | |
| 1270,0.2703 | |
| 1280,0.2578 | |
| 1290,0.2519 | |
| 1300,0.2612 | |
| 1310,0.2126 | |
| 1320,0.2394 | |
| 1330,0.2503 | |
| 1340,0.2232 | |
| 1350,0.2395 | |
| 1360,0.2563 | |
| 1370,0.2456 | |
| 1380,0.2584 | |
| 1390,0.2449 | |
| 1400,0.2397 | |
| 1410,0.2317 | |
| 1420,0.2343 | |
| 1430,0.2105 | |
| 1440,0.2604 | |
| 1450,0.2481 | |
| 1460,0.2671 | |
| 1470,0.2421 | |
| 1480,0.2494 | |
| 1490,0.2364 | |
| 1500,0.2256 | |
| 1510,0.2468 | |
| 1520,0.2234 | |
| 1530,0.2598 | |
| 1540,0.2119 | |
| 1550,0.2459 | |
| 1560,0.2146 | |
| 1570,0.221 | |
| 1580,0.2667 | |
| 1590,0.2466 | |
| 1600,0.2371 | |
| 1610,0.2035 | |
| 1620,0.2458 | |
| 1630,0.2545 | |
| 1640,0.2362 | |
| 1650,0.2145 | |
| 1660,0.1998 | |
| 1670,0.2409 | |
| 1680,0.2384 | |
| 1690,0.2373 | |
| 1700,0.2239 | |
| 1710,0.2056 | |
| 1720,0.2546 | |
| 1730,0.2098 | |
| 1740,0.213 | |
| 1750,0.2491 | |
| 1760,0.225 | |
| 1770,0.1991 | |
| 1780,0.1997 | |
| 1790,0.1985 | |
| 1800,0.225 | |
| 1810,0.237 | |
| 1820,0.1953 | |
| 1830,0.2643 | |
| 1840,0.2058 | |
| 1850,0.2352 | |
| 1860,0.2304 | |
| 1870,0.2114 | |
| 1880,0.2393 | |
| 1890,0.2142 | |
| 1900,0.2117 | |
| 1910,0.2063 | |
| 1920,0.2309 | |
| 1930,0.2067 | |
| 1940,0.1956 | |
| 1950,0.2413 | |
| 1960,0.2237 | |
| 1970,0.2113 | |
| 1980,0.2473 | |
| 1990,0.2284 | |
| 2000,0.2222 | |
| 2010,0.218 | |
| 2020,0.2183 | |
| 2030,0.2178 | |
| 2040,0.2191 | |
| 2050,0.2553 | |
| 2060,0.1929 | |
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| 2080,0.1982 | |
| 2090,0.2371 | |
| 2100,0.2172 | |
| 2110,0.2208 | |
| 2120,0.2057 | |
| 2130,0.1858 | |
| 2140,0.2273 | |
| 2150,0.227 | |
| 2160,0.1986 | |
| 2170,0.2653 | |
| 2180,0.2202 | |
| 2190,0.208 | |
| 2200,0.1956 | |
| 2210,0.2074 | |
| 2220,0.2102 | |
| 2230,0.2261 | |
| 2240,0.2216 | |
| 2250,0.196 | |
| 2260,0.2341 | |
| 2270,0.2307 | |
| 2280,0.2203 | |
| 2290,0.2041 | |
| 2300,0.1961 | |
| 2310,0.2254 | |
| 2320,0.198 | |
| 2330,0.1953 | |
| 2340,0.1899 | |
| 2350,0.2273 | |
| 2360,0.243 | |
| 2370,0.2024 | |
| 2380,0.2177 | |
| 2390,0.2527 | |
| 2400,0.221 | |
| 2410,0.2515 | |
| 2420,0.2411 | |
| 2430,0.2352 | |
| 2440,0.211 | |
| 2450,0.2376 | |
| 2460,0.212 | |
| 2470,0.2184 | |
| 2480,0.2437 | |
| 2490,0.204 | |
| 2500,0.2062 | |
| 2510,0.205 | |
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| 2550,0.212 | |
| 2560,0.2202 | |
| 2570,0.1995 | |
| 2580,0.227 | |
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| 2620,0.267 | |
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| 2650,0.2166 | |
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| 2680,0.2119 | |
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| 2720,0.219 | |
| 2730,0.2506 | |