Instructions to use Rodo-Sami/02adbad2-4bde-450c-985d-d872342a561c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/02adbad2-4bde-450c-985d-d872342a561c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/02adbad2-4bde-450c-985d-d872342a561c") - Notebooks
- Google Colab
- Kaggle
Invalid JSON:Unexpected token 'N', ..."_metric": NaN,
"be"... is not valid JSON
| { | |
| "best_metric": NaN, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-25", | |
| "epoch": 0.12793858947705103, | |
| "eval_steps": 25, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0025587717895410203, | |
| "grad_norm": 8.334024429321289, | |
| "learning_rate": 5e-05, | |
| "loss": 2.6052, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0025587717895410203, | |
| "eval_loss": NaN, | |
| "eval_runtime": 74.5919, | |
| "eval_samples_per_second": 35.299, | |
| "eval_steps_per_second": 4.424, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.005117543579082041, | |
| "grad_norm": 10.940125465393066, | |
| "learning_rate": 0.0001, | |
| "loss": 3.3579, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.007676315368623061, | |
| "grad_norm": 7.787834167480469, | |
| "learning_rate": 9.989294616193017e-05, | |
| "loss": 3.181, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.010235087158164081, | |
| "grad_norm": 7.5154948234558105, | |
| "learning_rate": 9.957224306869053e-05, | |
| "loss": 2.4313, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.012793858947705102, | |
| "grad_norm": 8.15333080291748, | |
| "learning_rate": 9.903926402016153e-05, | |
| "loss": 1.7125, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.015352630737246123, | |
| "grad_norm": 6.947421073913574, | |
| "learning_rate": 9.829629131445342e-05, | |
| "loss": 1.0752, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.01791140252678714, | |
| "grad_norm": 4.807391166687012, | |
| "learning_rate": 9.73465064747553e-05, | |
| "loss": 0.5733, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.020470174316328162, | |
| "grad_norm": 8.114211082458496, | |
| "learning_rate": 9.619397662556435e-05, | |
| "loss": 0.4164, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.023028946105869183, | |
| "grad_norm": 3.900653123855591, | |
| "learning_rate": 9.484363707663442e-05, | |
| "loss": 0.2119, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.025587717895410204, | |
| "grad_norm": 4.901590824127197, | |
| "learning_rate": 9.330127018922194e-05, | |
| "loss": 0.2332, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.028146489684951224, | |
| "grad_norm": 2.4796481132507324, | |
| "learning_rate": 9.157348061512727e-05, | |
| "loss": 0.1287, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.030705261474492245, | |
| "grad_norm": 1.9578641653060913, | |
| "learning_rate": 8.966766701456177e-05, | |
| "loss": 0.1035, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.033264033264033266, | |
| "grad_norm": 3.6358413696289062, | |
| "learning_rate": 8.759199037394887e-05, | |
| "loss": 0.3265, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.03582280505357428, | |
| "grad_norm": 2.5038394927978516, | |
| "learning_rate": 8.535533905932738e-05, | |
| "loss": 0.1806, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.03838157684311531, | |
| "grad_norm": 1.8473141193389893, | |
| "learning_rate": 8.296729075500344e-05, | |
| "loss": 0.126, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.040940348632656325, | |
| "grad_norm": 2.4110004901885986, | |
| "learning_rate": 8.043807145043604e-05, | |
| "loss": 0.1401, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.04349912042219734, | |
| "grad_norm": 1.2881044149398804, | |
| "learning_rate": 7.777851165098012e-05, | |
| "loss": 0.1238, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.046057892211738366, | |
| "grad_norm": 1.0083253383636475, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.075, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.04861666400127938, | |
| "grad_norm": 1.9869771003723145, | |
| "learning_rate": 7.211443451095007e-05, | |
| "loss": 0.07, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.05117543579082041, | |
| "grad_norm": 1.36537766456604, | |
| "learning_rate": 6.91341716182545e-05, | |
| "loss": 0.0881, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.053734207580361425, | |
| "grad_norm": 1.1762269735336304, | |
| "learning_rate": 6.607197326515808e-05, | |
| "loss": 0.0692, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.05629297936990245, | |
| "grad_norm": 2.1188955307006836, | |
| "learning_rate": 6.294095225512603e-05, | |
| "loss": 0.1169, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.058851751159443466, | |
| "grad_norm": 1.6357115507125854, | |
| "learning_rate": 5.9754516100806423e-05, | |
| "loss": 0.0666, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.06141052294898449, | |
| "grad_norm": 1.2706236839294434, | |
| "learning_rate": 5.6526309611002594e-05, | |
| "loss": 0.0406, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.06396929473852551, | |
| "grad_norm": 2.2332940101623535, | |
| "learning_rate": 5.327015646150716e-05, | |
| "loss": 0.0662, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.06396929473852551, | |
| "eval_loss": NaN, | |
| "eval_runtime": 36.4427, | |
| "eval_samples_per_second": 72.25, | |
| "eval_steps_per_second": 9.055, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.06652806652806653, | |
| "grad_norm": 1.6729117631912231, | |
| "learning_rate": 5e-05, | |
| "loss": 0.1896, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.06908683831760755, | |
| "grad_norm": 0.7531017661094666, | |
| "learning_rate": 4.6729843538492847e-05, | |
| "loss": 0.0992, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.07164561010714857, | |
| "grad_norm": 0.862877607345581, | |
| "learning_rate": 4.347369038899744e-05, | |
| "loss": 0.0977, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.07420438189668958, | |
| "grad_norm": 1.5235896110534668, | |
| "learning_rate": 4.0245483899193595e-05, | |
| "loss": 0.0702, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.07676315368623061, | |
| "grad_norm": 1.0583374500274658, | |
| "learning_rate": 3.705904774487396e-05, | |
| "loss": 0.052, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.07932192547577163, | |
| "grad_norm": 1.06094229221344, | |
| "learning_rate": 3.392802673484193e-05, | |
| "loss": 0.0453, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.08188069726531265, | |
| "grad_norm": 0.7197346687316895, | |
| "learning_rate": 3.086582838174551e-05, | |
| "loss": 0.0613, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.08443946905485367, | |
| "grad_norm": 1.0249391794204712, | |
| "learning_rate": 2.7885565489049946e-05, | |
| "loss": 0.0762, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.08699824084439468, | |
| "grad_norm": 1.1629976034164429, | |
| "learning_rate": 2.500000000000001e-05, | |
| "loss": 0.102, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.08955701263393571, | |
| "grad_norm": 0.8161555528640747, | |
| "learning_rate": 2.2221488349019903e-05, | |
| "loss": 0.0485, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.09211578442347673, | |
| "grad_norm": 0.7493521571159363, | |
| "learning_rate": 1.9561928549563968e-05, | |
| "loss": 0.0812, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.09467455621301775, | |
| "grad_norm": 1.0272088050842285, | |
| "learning_rate": 1.703270924499656e-05, | |
| "loss": 0.0908, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.09723332800255877, | |
| "grad_norm": 1.7803131341934204, | |
| "learning_rate": 1.4644660940672627e-05, | |
| "loss": 0.1749, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.0997920997920998, | |
| "grad_norm": 1.0670037269592285, | |
| "learning_rate": 1.2408009626051137e-05, | |
| "loss": 0.0817, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.10235087158164081, | |
| "grad_norm": 0.6444293260574341, | |
| "learning_rate": 1.0332332985438248e-05, | |
| "loss": 0.0544, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.10490964337118183, | |
| "grad_norm": 0.5108956098556519, | |
| "learning_rate": 8.426519384872733e-06, | |
| "loss": 0.0574, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.10746841516072285, | |
| "grad_norm": 0.7616376876831055, | |
| "learning_rate": 6.698729810778065e-06, | |
| "loss": 0.0522, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.11002718695026387, | |
| "grad_norm": 0.6766124367713928, | |
| "learning_rate": 5.156362923365588e-06, | |
| "loss": 0.0396, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.1125859587398049, | |
| "grad_norm": 0.7287461757659912, | |
| "learning_rate": 3.8060233744356633e-06, | |
| "loss": 0.0636, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.11514473052934592, | |
| "grad_norm": 1.3630841970443726, | |
| "learning_rate": 2.653493525244721e-06, | |
| "loss": 0.0857, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.11770350231888693, | |
| "grad_norm": 1.068311333656311, | |
| "learning_rate": 1.70370868554659e-06, | |
| "loss": 0.082, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.12026227410842795, | |
| "grad_norm": 1.1175423860549927, | |
| "learning_rate": 9.607359798384785e-07, | |
| "loss": 0.0288, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.12282104589796898, | |
| "grad_norm": 0.9052390456199646, | |
| "learning_rate": 4.277569313094809e-07, | |
| "loss": 0.0743, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.12537981768751, | |
| "grad_norm": 0.9554215669631958, | |
| "learning_rate": 1.0705383806982606e-07, | |
| "loss": 0.0632, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.12793858947705103, | |
| "grad_norm": 1.0501782894134521, | |
| "learning_rate": 0.0, | |
| "loss": 0.0551, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.12793858947705103, | |
| "eval_loss": NaN, | |
| "eval_runtime": 72.5923, | |
| "eval_samples_per_second": 36.271, | |
| "eval_steps_per_second": 4.546, | |
| "step": 50 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 50, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 1, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 1 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.589463780163584e+17, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |