Instructions to use cragtmp/tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/tool with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/tool") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 90, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05555555555555555, | |
| "grad_norm": 17.469547271728516, | |
| "learning_rate": 0.0, | |
| "loss": 0.732, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.1111111111111111, | |
| "grad_norm": 22.75277328491211, | |
| "learning_rate": 2.2222222222222223e-05, | |
| "loss": 0.8724, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.16666666666666666, | |
| "grad_norm": 23.468505859375, | |
| "learning_rate": 4.4444444444444447e-05, | |
| "loss": 1.109, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.2222222222222222, | |
| "grad_norm": 7.13322639465332, | |
| "learning_rate": 6.666666666666667e-05, | |
| "loss": 0.4281, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.2777777777777778, | |
| "grad_norm": 8.956477165222168, | |
| "learning_rate": 8.888888888888889e-05, | |
| "loss": 0.6818, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 4.624927520751953, | |
| "learning_rate": 0.00011111111111111112, | |
| "loss": 0.4782, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.3888888888888889, | |
| "grad_norm": 10.363118171691895, | |
| "learning_rate": 0.00013333333333333334, | |
| "loss": 0.583, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "grad_norm": 13.19287109375, | |
| "learning_rate": 0.00015555555555555556, | |
| "loss": 0.1829, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 7.12847900390625, | |
| "learning_rate": 0.00017777777777777779, | |
| "loss": 0.2936, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.5555555555555556, | |
| "grad_norm": 6.902624607086182, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3713, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.6111111111111112, | |
| "grad_norm": 3.943729877471924, | |
| "learning_rate": 0.00019992479525042303, | |
| "loss": 0.1013, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 4.228763580322266, | |
| "learning_rate": 0.0001996992941167792, | |
| "loss": 0.2174, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.7222222222222222, | |
| "grad_norm": 3.2873263359069824, | |
| "learning_rate": 0.00019932383577419432, | |
| "loss": 0.2151, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.7777777777777778, | |
| "grad_norm": 4.9496283531188965, | |
| "learning_rate": 0.00019879898494768093, | |
| "loss": 0.4807, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.8333333333333334, | |
| "grad_norm": 5.166029930114746, | |
| "learning_rate": 0.00019812553106273847, | |
| "loss": 0.1647, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "grad_norm": 8.569997787475586, | |
| "learning_rate": 0.00019730448705798239, | |
| "loss": 0.6876, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.9444444444444444, | |
| "grad_norm": 2.3550405502319336, | |
| "learning_rate": 0.00019633708786158806, | |
| "loss": 0.1372, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 3.146822214126587, | |
| "learning_rate": 0.00019522478853384155, | |
| "loss": 0.0177, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 1.0555555555555556, | |
| "grad_norm": 1.8545197248458862, | |
| "learning_rate": 0.00019396926207859084, | |
| "loss": 0.0716, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 1.1111111111111112, | |
| "grad_norm": 3.4503188133239746, | |
| "learning_rate": 0.00019257239692688907, | |
| "loss": 0.0969, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.1666666666666667, | |
| "grad_norm": 0.7412665486335754, | |
| "learning_rate": 0.0001910362940966147, | |
| "loss": 0.0223, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 1.2222222222222223, | |
| "grad_norm": 10.92074203491211, | |
| "learning_rate": 0.00018936326403234125, | |
| "loss": 0.2261, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 1.2777777777777777, | |
| "grad_norm": 5.52816104888916, | |
| "learning_rate": 0.0001875558231302091, | |
| "loss": 0.2436, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 2.198107957839966, | |
| "learning_rate": 0.00018561668995302667, | |
| "loss": 0.061, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 1.3888888888888888, | |
| "grad_norm": 3.341217041015625, | |
| "learning_rate": 0.00018354878114129367, | |
| "loss": 0.146, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.4444444444444444, | |
| "grad_norm": 0.8276804089546204, | |
| "learning_rate": 0.00018135520702629675, | |
| "loss": 0.0242, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 0.304651141166687, | |
| "learning_rate": 0.00017903926695187595, | |
| "loss": 0.0028, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.5555555555555556, | |
| "grad_norm": 0.5654858946800232, | |
| "learning_rate": 0.0001766044443118978, | |
| "loss": 0.0058, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.6111111111111112, | |
| "grad_norm": 0.1325332224369049, | |
| "learning_rate": 0.00017405440131090048, | |
| "loss": 0.0017, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 0.26076093316078186, | |
| "learning_rate": 0.00017139297345578994, | |
| "loss": 0.0028, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.7222222222222223, | |
| "grad_norm": 7.41240930557251, | |
| "learning_rate": 0.0001686241637868734, | |
| "loss": 0.477, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "grad_norm": 4.4489665031433105, | |
| "learning_rate": 0.0001657521368569064, | |
| "loss": 0.0604, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.8333333333333335, | |
| "grad_norm": 4.5502166748046875, | |
| "learning_rate": 0.00016278121246720987, | |
| "loss": 0.2863, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.8888888888888888, | |
| "grad_norm": 7.6348137855529785, | |
| "learning_rate": 0.00015971585917027862, | |
| "loss": 0.1511, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.9444444444444444, | |
| "grad_norm": 11.212128639221191, | |
| "learning_rate": 0.00015656068754865387, | |
| "loss": 0.1643, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.7633869647979736, | |
| "learning_rate": 0.00015332044328016914, | |
| "loss": 0.0374, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 2.0555555555555554, | |
| "grad_norm": 0.567506730556488, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 0.0055, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 2.111111111111111, | |
| "grad_norm": 0.24216872453689575, | |
| "learning_rate": 0.0001466043519702539, | |
| "loss": 0.0045, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 2.1666666666666665, | |
| "grad_norm": 6.3600053787231445, | |
| "learning_rate": 0.00014313860656812536, | |
| "loss": 0.1886, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 2.2222222222222223, | |
| "grad_norm": 4.492520332336426, | |
| "learning_rate": 0.0001396079766039157, | |
| "loss": 0.053, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.2777777777777777, | |
| "grad_norm": 1.1104881763458252, | |
| "learning_rate": 0.00013601777248047105, | |
| "loss": 0.0159, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 2.3333333333333335, | |
| "grad_norm": 0.21907638013362885, | |
| "learning_rate": 0.00013237339420583212, | |
| "loss": 0.0018, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 2.388888888888889, | |
| "grad_norm": 7.373753547668457, | |
| "learning_rate": 0.00012868032327110904, | |
| "loss": 0.1776, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 2.4444444444444446, | |
| "grad_norm": 4.361786842346191, | |
| "learning_rate": 0.00012494411440579814, | |
| "loss": 0.1345, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 3.8851583003997803, | |
| "learning_rate": 0.0001211703872229411, | |
| "loss": 0.1062, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 2.5555555555555554, | |
| "grad_norm": 0.022876089438796043, | |
| "learning_rate": 0.00011736481776669306, | |
| "loss": 0.0004, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 2.611111111111111, | |
| "grad_norm": 0.05538008362054825, | |
| "learning_rate": 0.00011353312997501313, | |
| "loss": 0.0008, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "grad_norm": 0.5484911203384399, | |
| "learning_rate": 0.00010968108707031792, | |
| "loss": 0.0032, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 2.7222222222222223, | |
| "grad_norm": 0.17594866454601288, | |
| "learning_rate": 0.00010581448289104758, | |
| "loss": 0.0029, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 2.7777777777777777, | |
| "grad_norm": 0.42551591992378235, | |
| "learning_rate": 0.00010193913317718244, | |
| "loss": 0.0079, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.8333333333333335, | |
| "grad_norm": 4.214639186859131, | |
| "learning_rate": 9.806086682281758e-05, | |
| "loss": 0.1177, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 2.888888888888889, | |
| "grad_norm": 5.015491962432861, | |
| "learning_rate": 9.418551710895243e-05, | |
| "loss": 0.076, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 2.9444444444444446, | |
| "grad_norm": 3.676525831222534, | |
| "learning_rate": 9.03189129296821e-05, | |
| "loss": 0.1516, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.010427688248455524, | |
| "learning_rate": 8.646687002498692e-05, | |
| "loss": 0.0002, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 3.0555555555555554, | |
| "grad_norm": 3.544339895248413, | |
| "learning_rate": 8.263518223330697e-05, | |
| "loss": 0.0387, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 3.111111111111111, | |
| "grad_norm": 0.9848164319992065, | |
| "learning_rate": 7.882961277705895e-05, | |
| "loss": 0.0077, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 3.1666666666666665, | |
| "grad_norm": 0.11404402554035187, | |
| "learning_rate": 7.505588559420189e-05, | |
| "loss": 0.0019, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 3.2222222222222223, | |
| "grad_norm": 0.3479735255241394, | |
| "learning_rate": 7.131967672889101e-05, | |
| "loss": 0.0074, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 3.2777777777777777, | |
| "grad_norm": 0.2785912752151489, | |
| "learning_rate": 6.762660579416791e-05, | |
| "loss": 0.0047, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 3.3333333333333335, | |
| "grad_norm": 1.5189486742019653, | |
| "learning_rate": 6.398222751952899e-05, | |
| "loss": 0.0157, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 3.388888888888889, | |
| "grad_norm": 1.2978746891021729, | |
| "learning_rate": 6.039202339608432e-05, | |
| "loss": 0.0148, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 3.4444444444444446, | |
| "grad_norm": 0.19974800944328308, | |
| "learning_rate": 5.6861393431874675e-05, | |
| "loss": 0.0024, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": 0.08159318566322327, | |
| "learning_rate": 5.339564802974615e-05, | |
| "loss": 0.0011, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 3.5555555555555554, | |
| "grad_norm": 0.034631360322237015, | |
| "learning_rate": 5.000000000000002e-05, | |
| "loss": 0.0005, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 3.611111111111111, | |
| "grad_norm": 0.13056862354278564, | |
| "learning_rate": 4.66795567198309e-05, | |
| "loss": 0.0015, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 3.6666666666666665, | |
| "grad_norm": 0.024880321696400642, | |
| "learning_rate": 4.343931245134616e-05, | |
| "loss": 0.0004, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 3.7222222222222223, | |
| "grad_norm": 0.7327654361724854, | |
| "learning_rate": 4.028414082972141e-05, | |
| "loss": 0.0127, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 3.7777777777777777, | |
| "grad_norm": 0.07404771447181702, | |
| "learning_rate": 3.721878753279017e-05, | |
| "loss": 0.0011, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 3.8333333333333335, | |
| "grad_norm": 0.009151079691946507, | |
| "learning_rate": 3.424786314309365e-05, | |
| "loss": 0.0001, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 3.888888888888889, | |
| "grad_norm": 0.03904305398464203, | |
| "learning_rate": 3.137583621312665e-05, | |
| "loss": 0.0004, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 3.9444444444444446, | |
| "grad_norm": 0.16078825294971466, | |
| "learning_rate": 2.8607026544210114e-05, | |
| "loss": 0.0017, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.035697516053915024, | |
| "learning_rate": 2.594559868909956e-05, | |
| "loss": 0.0005, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 4.055555555555555, | |
| "grad_norm": 0.04049859568476677, | |
| "learning_rate": 2.339555568810221e-05, | |
| "loss": 0.0005, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 4.111111111111111, | |
| "grad_norm": 0.04846888408064842, | |
| "learning_rate": 2.0960733048124083e-05, | |
| "loss": 0.0006, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 4.166666666666667, | |
| "grad_norm": 0.015624168328940868, | |
| "learning_rate": 1.864479297370325e-05, | |
| "loss": 0.0002, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 4.222222222222222, | |
| "grad_norm": 0.055838510394096375, | |
| "learning_rate": 1.6451218858706374e-05, | |
| "loss": 0.0008, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 4.277777777777778, | |
| "grad_norm": 0.010197862051427364, | |
| "learning_rate": 1.4383310046973365e-05, | |
| "loss": 0.0001, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 4.333333333333333, | |
| "grad_norm": 0.01613779552280903, | |
| "learning_rate": 1.2444176869790925e-05, | |
| "loss": 0.0003, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 4.388888888888889, | |
| "grad_norm": 0.07378027588129044, | |
| "learning_rate": 1.0636735967658784e-05, | |
| "loss": 0.0006, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 4.444444444444445, | |
| "grad_norm": 0.009738123044371605, | |
| "learning_rate": 8.963705903385345e-06, | |
| "loss": 0.0001, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "grad_norm": 0.024092555046081543, | |
| "learning_rate": 7.427603073110967e-06, | |
| "loss": 0.0002, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 4.555555555555555, | |
| "grad_norm": 0.02920607477426529, | |
| "learning_rate": 6.030737921409169e-06, | |
| "loss": 0.0004, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 4.611111111111111, | |
| "grad_norm": 0.033286549150943756, | |
| "learning_rate": 4.775211466158469e-06, | |
| "loss": 0.0005, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 4.666666666666667, | |
| "grad_norm": 0.004122807644307613, | |
| "learning_rate": 3.662912138411967e-06, | |
| "loss": 0.0001, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 4.722222222222222, | |
| "grad_norm": 0.016839250922203064, | |
| "learning_rate": 2.6955129420176196e-06, | |
| "loss": 0.0003, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 4.777777777777778, | |
| "grad_norm": 0.013877292163670063, | |
| "learning_rate": 1.874468937261531e-06, | |
| "loss": 0.0002, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 4.833333333333333, | |
| "grad_norm": 0.05045411363244057, | |
| "learning_rate": 1.201015052319099e-06, | |
| "loss": 0.0009, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 4.888888888888889, | |
| "grad_norm": 0.050760798156261444, | |
| "learning_rate": 6.761642258056978e-07, | |
| "loss": 0.0005, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 4.944444444444445, | |
| "grad_norm": 0.08366449922323227, | |
| "learning_rate": 3.007058832207976e-07, | |
| "loss": 0.0012, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.15823712944984436, | |
| "learning_rate": 7.520474957699586e-08, | |
| "loss": 0.0017, | |
| "step": 90 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 90, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.7422394887411668e+16, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |