Instructions to use Fernandosr85/adaption_math_misconception_match with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fernandosr85/adaption_math_misconception_match with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-4-Scout-17B-16E-Instruct_bnb_4bit") model = PeftModel.from_pretrained(base_model, "Fernandosr85/adaption_math_misconception_match") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "eval_steps": 12, | |
| "global_step": 63, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.047619047619047616, | |
| "grad_norm": 26.258180618286133, | |
| "learning_rate": 0.0, | |
| "loss": 18.515625, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.09523809523809523, | |
| "grad_norm": 25.38199806213379, | |
| "learning_rate": 2.5e-05, | |
| "loss": 18.5859375, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.14285714285714285, | |
| "grad_norm": 18.595748901367188, | |
| "learning_rate": 5e-05, | |
| "loss": 16.6875, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.19047619047619047, | |
| "grad_norm": 9.914112091064453, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 12.1171875, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.23809523809523808, | |
| "grad_norm": 7.954200267791748, | |
| "learning_rate": 0.0001, | |
| "loss": 8.234375, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.2857142857142857, | |
| "grad_norm": 6.762725353240967, | |
| "learning_rate": 9.99362213054543e-05, | |
| "loss": 4.021484375, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 4.886335849761963, | |
| "learning_rate": 9.974506600945618e-05, | |
| "loss": 1.10595703125, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.38095238095238093, | |
| "grad_norm": 1.199355125427246, | |
| "learning_rate": 9.942707596246052e-05, | |
| "loss": 0.357177734375, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.42857142857142855, | |
| "grad_norm": 0.6338489651679993, | |
| "learning_rate": 9.8983152541804e-05, | |
| "loss": 0.2091064453125, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.47619047619047616, | |
| "grad_norm": 0.19402951002120972, | |
| "learning_rate": 9.841455409665323e-05, | |
| "loss": 0.16455078125, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.5238095238095238, | |
| "grad_norm": 0.4312855005264282, | |
| "learning_rate": 9.772289238107715e-05, | |
| "loss": 0.17724609375, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.5714285714285714, | |
| "grad_norm": 0.20777462422847748, | |
| "learning_rate": 9.691012798535524e-05, | |
| "loss": 0.1539306640625, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.6190476190476191, | |
| "grad_norm": 0.6411371827125549, | |
| "learning_rate": 9.59785647784711e-05, | |
| "loss": 0.1865234375, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 0.3755132853984833, | |
| "learning_rate": 9.493084337754573e-05, | |
| "loss": 0.154541015625, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.7142857142857143, | |
| "grad_norm": 0.21818028390407562, | |
| "learning_rate": 9.376993366272128e-05, | |
| "loss": 0.142333984375, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.7142857142857143, | |
| "eval_loss": 0.10693359375, | |
| "eval_runtime": 2.2629, | |
| "eval_samples_per_second": 0.442, | |
| "eval_steps_per_second": 0.442, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.7619047619047619, | |
| "grad_norm": 0.3487852215766907, | |
| "learning_rate": 9.249912635871318e-05, | |
| "loss": 0.1746826171875, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.8095238095238095, | |
| "grad_norm": 0.16560474038124084, | |
| "learning_rate": 9.112202370689337e-05, | |
| "loss": 0.14697265625, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.8571428571428571, | |
| "grad_norm": 0.19229120016098022, | |
| "learning_rate": 8.964252925434579e-05, | |
| "loss": 0.15692138671875, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.9047619047619048, | |
| "grad_norm": 0.2123524695634842, | |
| "learning_rate": 8.806483678883803e-05, | |
| "loss": 0.15576171875, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.9523809523809523, | |
| "grad_norm": 0.15713752806186676, | |
| "learning_rate": 8.639341845107433e-05, | |
| "loss": 0.156982421875, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.038992200046777725, | |
| "learning_rate": 8.463301205792675e-05, | |
| "loss": 0.14178466796875, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 1.0476190476190477, | |
| "grad_norm": 0.09305933862924576, | |
| "learning_rate": 8.278860767257865e-05, | |
| "loss": 0.1387939453125, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 1.0952380952380953, | |
| "grad_norm": 0.1505240797996521, | |
| "learning_rate": 8.086543345964832e-05, | |
| "loss": 0.13616943359375, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 1.1428571428571428, | |
| "grad_norm": 0.18524615466594696, | |
| "learning_rate": 7.886894086538841e-05, | |
| "loss": 0.16064453125, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 1.1904761904761905, | |
| "grad_norm": 0.06549176573753357, | |
| "learning_rate": 7.680478916496926e-05, | |
| "loss": 0.131591796875, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.2380952380952381, | |
| "grad_norm": 0.11226853728294373, | |
| "learning_rate": 7.46788294206485e-05, | |
| "loss": 0.1463623046875, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.2857142857142856, | |
| "grad_norm": 0.23010337352752686, | |
| "learning_rate": 7.249708789629944e-05, | |
| "loss": 0.14068603515625, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.2857142857142856, | |
| "eval_loss": 0.10498046875, | |
| "eval_runtime": 2.2511, | |
| "eval_samples_per_second": 0.444, | |
| "eval_steps_per_second": 0.444, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 0.10772109776735306, | |
| "learning_rate": 7.026574897531137e-05, | |
| "loss": 0.14404296875, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.380952380952381, | |
| "grad_norm": 0.03903504088521004, | |
| "learning_rate": 6.799113763028295e-05, | |
| "loss": 0.14739990234375, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.4285714285714286, | |
| "grad_norm": 0.05378051847219467, | |
| "learning_rate": 6.567970149420018e-05, | |
| "loss": 0.13970947265625, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.4761904761904763, | |
| "grad_norm": 0.07061741501092911, | |
| "learning_rate": 6.333799258392015e-05, | |
| "loss": 0.1383056640625, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.5238095238095237, | |
| "grad_norm": 0.07531730085611343, | |
| "learning_rate": 6.097264872776749e-05, | |
| "loss": 0.1275634765625, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.5714285714285714, | |
| "grad_norm": 0.07265225052833557, | |
| "learning_rate": 5.859037474988874e-05, | |
| "loss": 0.135009765625, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.619047619047619, | |
| "grad_norm": 0.045906394720077515, | |
| "learning_rate": 5.6197923464699875e-05, | |
| "loss": 0.13372802734375, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 0.05023833364248276, | |
| "learning_rate": 5.3802076535300135e-05, | |
| "loss": 0.12237548828125, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.7142857142857144, | |
| "grad_norm": 0.053686026483774185, | |
| "learning_rate": 5.140962525011126e-05, | |
| "loss": 0.12164306640625, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.7619047619047619, | |
| "grad_norm": 0.09860731661319733, | |
| "learning_rate": 4.902735127223252e-05, | |
| "loss": 0.14227294921875, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.8095238095238095, | |
| "grad_norm": 0.05519683286547661, | |
| "learning_rate": 4.6662007416079864e-05, | |
| "loss": 0.1280517578125, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.8571428571428572, | |
| "grad_norm": 0.09527605772018433, | |
| "learning_rate": 4.432029850579983e-05, | |
| "loss": 0.1417236328125, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.8571428571428572, | |
| "eval_loss": 0.08642578125, | |
| "eval_runtime": 2.2488, | |
| "eval_samples_per_second": 0.445, | |
| "eval_steps_per_second": 0.445, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.9047619047619047, | |
| "grad_norm": 0.07749810069799423, | |
| "learning_rate": 4.2008862369717074e-05, | |
| "loss": 0.131103515625, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.9523809523809523, | |
| "grad_norm": 0.06240750476717949, | |
| "learning_rate": 3.973425102468864e-05, | |
| "loss": 0.14178466796875, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.05067940428853035, | |
| "learning_rate": 3.750291210370057e-05, | |
| "loss": 0.12774658203125, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 2.0476190476190474, | |
| "grad_norm": 0.05685904249548912, | |
| "learning_rate": 3.5321170579351516e-05, | |
| "loss": 0.12432861328125, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 2.0952380952380953, | |
| "grad_norm": 0.0624210424721241, | |
| "learning_rate": 3.319521083503075e-05, | |
| "loss": 0.11767578125, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 2.142857142857143, | |
| "grad_norm": 0.054149359464645386, | |
| "learning_rate": 3.113105913461159e-05, | |
| "loss": 0.13458251953125, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 2.1904761904761907, | |
| "grad_norm": 0.059766985476017, | |
| "learning_rate": 2.9134566540351693e-05, | |
| "loss": 0.12139892578125, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 2.238095238095238, | |
| "grad_norm": 0.055334560573101044, | |
| "learning_rate": 2.721139232742137e-05, | |
| "loss": 0.132080078125, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 2.2857142857142856, | |
| "grad_norm": 0.049609050154685974, | |
| "learning_rate": 2.5366987942073267e-05, | |
| "loss": 0.11822509765625, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 2.3333333333333335, | |
| "grad_norm": 0.06382595002651215, | |
| "learning_rate": 2.3606581548925695e-05, | |
| "loss": 0.13330078125, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 2.380952380952381, | |
| "grad_norm": 0.06832896173000336, | |
| "learning_rate": 2.1935163211161985e-05, | |
| "loss": 0.13916015625, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.4285714285714284, | |
| "grad_norm": 0.041778020560741425, | |
| "learning_rate": 2.0357470745654214e-05, | |
| "loss": 0.13079833984375, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 2.4285714285714284, | |
| "eval_loss": 0.087890625, | |
| "eval_runtime": 2.2521, | |
| "eval_samples_per_second": 0.444, | |
| "eval_steps_per_second": 0.444, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 2.4761904761904763, | |
| "grad_norm": 0.047971971333026886, | |
| "learning_rate": 1.8877976293106646e-05, | |
| "loss": 0.1259765625, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 2.5238095238095237, | |
| "grad_norm": 0.06257976591587067, | |
| "learning_rate": 1.7500873641286825e-05, | |
| "loss": 0.11712646484375, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 2.571428571428571, | |
| "grad_norm": 0.05711723119020462, | |
| "learning_rate": 1.6230066337278724e-05, | |
| "loss": 0.12890625, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 2.619047619047619, | |
| "grad_norm": 0.06507477164268494, | |
| "learning_rate": 1.5069156622454287e-05, | |
| "loss": 0.12548828125, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "grad_norm": 0.04118900001049042, | |
| "learning_rate": 1.4021435221528906e-05, | |
| "loss": 0.1136474609375, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 2.7142857142857144, | |
| "grad_norm": 0.07443732768297195, | |
| "learning_rate": 1.3089872014644771e-05, | |
| "loss": 0.113037109375, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 2.761904761904762, | |
| "grad_norm": 0.06563269346952438, | |
| "learning_rate": 1.2277107618922843e-05, | |
| "loss": 0.12896728515625, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 2.8095238095238093, | |
| "grad_norm": 0.04780431464314461, | |
| "learning_rate": 1.1585445903346783e-05, | |
| "loss": 0.117431640625, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 2.857142857142857, | |
| "grad_norm": 0.0709613487124443, | |
| "learning_rate": 1.1016847458196001e-05, | |
| "loss": 0.13092041015625, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.9047619047619047, | |
| "grad_norm": 0.10224345326423645, | |
| "learning_rate": 1.0572924037539496e-05, | |
| "loss": 0.125, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 2.9523809523809526, | |
| "grad_norm": 0.07073601335287094, | |
| "learning_rate": 1.0254933990543831e-05, | |
| "loss": 0.13189697265625, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.0436314195394516, | |
| "learning_rate": 1.0063778694545714e-05, | |
| "loss": 0.117919921875, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.08203125, | |
| "eval_runtime": 2.2583, | |
| "eval_samples_per_second": 0.443, | |
| "eval_steps_per_second": 0.443, | |
| "step": 63 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 63, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 0, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.365649123801301e+18, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |