Instructions to use greyAll/test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greyAll/test-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("greyAll/test-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 500, | |
| "global_step": 42, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "aux_loss": 8.045117378234863, | |
| "entropy": 0.05226727016270161, | |
| "epoch": 0.024096385542168676, | |
| "grad_norm": 0.5021907687187195, | |
| "learning_rate": 0.0, | |
| "loss": 0.09741637855768204, | |
| "mean_token_accuracy": 0.9888820052146912, | |
| "num_tokens": 154362.0, | |
| "step": 1 | |
| }, | |
| { | |
| "aux_loss": 8.047614574432373, | |
| "entropy": 0.05835266411304474, | |
| "epoch": 0.04819277108433735, | |
| "grad_norm": 0.551396369934082, | |
| "learning_rate": 1.4500000000000001e-07, | |
| "loss": 0.09991507232189178, | |
| "mean_token_accuracy": 0.9883801937103271, | |
| "num_tokens": 310702.0, | |
| "step": 2 | |
| }, | |
| { | |
| "aux_loss": 8.049727439880371, | |
| "entropy": 0.052583809942007065, | |
| "epoch": 0.07228915662650602, | |
| "grad_norm": 0.4750031530857086, | |
| "learning_rate": 2.9000000000000003e-07, | |
| "loss": 0.09806497395038605, | |
| "mean_token_accuracy": 0.9886206984519958, | |
| "num_tokens": 493904.0, | |
| "step": 3 | |
| }, | |
| { | |
| "aux_loss": 8.047826766967773, | |
| "entropy": 0.05231792479753494, | |
| "epoch": 0.0963855421686747, | |
| "grad_norm": 0.4863564074039459, | |
| "learning_rate": 4.35e-07, | |
| "loss": 0.09776315838098526, | |
| "mean_token_accuracy": 0.9888334274291992, | |
| "num_tokens": 663136.0, | |
| "step": 4 | |
| }, | |
| { | |
| "aux_loss": 8.047198295593262, | |
| "entropy": 0.04943128302693367, | |
| "epoch": 0.12048192771084337, | |
| "grad_norm": 0.5010114908218384, | |
| "learning_rate": 5.800000000000001e-07, | |
| "loss": 0.09543517231941223, | |
| "mean_token_accuracy": 0.9894405901432037, | |
| "num_tokens": 812532.0, | |
| "step": 5 | |
| }, | |
| { | |
| "aux_loss": 8.049106121063232, | |
| "entropy": 0.063042301684618, | |
| "epoch": 0.14457831325301204, | |
| "grad_norm": 0.5165722966194153, | |
| "learning_rate": 7.25e-07, | |
| "loss": 0.10346449911594391, | |
| "mean_token_accuracy": 0.987544983625412, | |
| "num_tokens": 973071.0, | |
| "step": 6 | |
| }, | |
| { | |
| "aux_loss": 8.047893047332764, | |
| "entropy": 0.0672433041036129, | |
| "epoch": 0.1686746987951807, | |
| "grad_norm": 0.5849524736404419, | |
| "learning_rate": 8.7e-07, | |
| "loss": 0.10626787692308426, | |
| "mean_token_accuracy": 0.9862557649612427, | |
| "num_tokens": 1110326.0, | |
| "step": 7 | |
| }, | |
| { | |
| "aux_loss": 8.04862642288208, | |
| "entropy": 0.06088166497647762, | |
| "epoch": 0.1927710843373494, | |
| "grad_norm": 0.48005586862564087, | |
| "learning_rate": 1.015e-06, | |
| "loss": 0.1021210104227066, | |
| "mean_token_accuracy": 0.9877255260944366, | |
| "num_tokens": 1259440.0, | |
| "step": 8 | |
| }, | |
| { | |
| "aux_loss": 8.047185897827148, | |
| "entropy": 0.049826065078377724, | |
| "epoch": 0.21686746987951808, | |
| "grad_norm": 0.43366947770118713, | |
| "learning_rate": 1.1600000000000001e-06, | |
| "loss": 0.09475715458393097, | |
| "mean_token_accuracy": 0.9898165464401245, | |
| "num_tokens": 1417756.0, | |
| "step": 9 | |
| }, | |
| { | |
| "aux_loss": 8.04772663116455, | |
| "entropy": 0.054957231506705284, | |
| "epoch": 0.24096385542168675, | |
| "grad_norm": 0.4529463052749634, | |
| "learning_rate": 1.3050000000000002e-06, | |
| "loss": 0.09896557033061981, | |
| "mean_token_accuracy": 0.9889253675937653, | |
| "num_tokens": 1579862.0, | |
| "step": 10 | |
| }, | |
| { | |
| "aux_loss": 8.047585487365723, | |
| "entropy": 0.05796742998063564, | |
| "epoch": 0.26506024096385544, | |
| "grad_norm": 0.45284125208854675, | |
| "learning_rate": 1.45e-06, | |
| "loss": 0.10001235455274582, | |
| "mean_token_accuracy": 0.9876790642738342, | |
| "num_tokens": 1731184.0, | |
| "step": 11 | |
| }, | |
| { | |
| "aux_loss": 8.04898738861084, | |
| "entropy": 0.05215233750641346, | |
| "epoch": 0.2891566265060241, | |
| "grad_norm": 0.4420299828052521, | |
| "learning_rate": 1.4499995904705798e-06, | |
| "loss": 0.09724222123622894, | |
| "mean_token_accuracy": 0.9884337782859802, | |
| "num_tokens": 1893932.0, | |
| "step": 12 | |
| }, | |
| { | |
| "aux_loss": 8.04798412322998, | |
| "entropy": 0.05265074409544468, | |
| "epoch": 0.3132530120481928, | |
| "grad_norm": 0.40204742550849915, | |
| "learning_rate": 1.4499983618832442e-06, | |
| "loss": 0.0970243290066719, | |
| "mean_token_accuracy": 0.989496260881424, | |
| "num_tokens": 2053005.0, | |
| "step": 13 | |
| }, | |
| { | |
| "aux_loss": 8.05030107498169, | |
| "entropy": 0.049178898334503174, | |
| "epoch": 0.3373493975903614, | |
| "grad_norm": 0.4108814597129822, | |
| "learning_rate": 1.4499963142407692e-06, | |
| "loss": 0.09499870240688324, | |
| "mean_token_accuracy": 0.9897345900535583, | |
| "num_tokens": 2217039.0, | |
| "step": 14 | |
| }, | |
| { | |
| "aux_loss": 8.046091079711914, | |
| "entropy": 0.0504351407289505, | |
| "epoch": 0.3614457831325301, | |
| "grad_norm": 0.4030505418777466, | |
| "learning_rate": 1.4499934475477814e-06, | |
| "loss": 0.09597203135490417, | |
| "mean_token_accuracy": 0.9898054599761963, | |
| "num_tokens": 2386769.0, | |
| "step": 15 | |
| }, | |
| { | |
| "aux_loss": 8.047934532165527, | |
| "entropy": 0.04648676887154579, | |
| "epoch": 0.3855421686746988, | |
| "grad_norm": 0.4123123586177826, | |
| "learning_rate": 1.4499897618107582e-06, | |
| "loss": 0.09345895051956177, | |
| "mean_token_accuracy": 0.989924967288971, | |
| "num_tokens": 2551093.0, | |
| "step": 16 | |
| }, | |
| { | |
| "aux_loss": 8.04793405532837, | |
| "entropy": 0.04946734011173248, | |
| "epoch": 0.40963855421686746, | |
| "grad_norm": 0.42739129066467285, | |
| "learning_rate": 1.4499852570380272e-06, | |
| "loss": 0.09633760154247284, | |
| "mean_token_accuracy": 0.9889810979366302, | |
| "num_tokens": 2704860.0, | |
| "step": 17 | |
| }, | |
| { | |
| "aux_loss": 8.048253536224365, | |
| "entropy": 0.0546275470405817, | |
| "epoch": 0.43373493975903615, | |
| "grad_norm": 0.44881728291511536, | |
| "learning_rate": 1.449979933239767e-06, | |
| "loss": 0.09820500761270523, | |
| "mean_token_accuracy": 0.9885384142398834, | |
| "num_tokens": 2850860.0, | |
| "step": 18 | |
| }, | |
| { | |
| "aux_loss": 8.050773620605469, | |
| "entropy": 0.05041976273059845, | |
| "epoch": 0.4578313253012048, | |
| "grad_norm": 0.46621593832969666, | |
| "learning_rate": 1.4499737904280063e-06, | |
| "loss": 0.09671641141176224, | |
| "mean_token_accuracy": 0.9887768924236298, | |
| "num_tokens": 3039323.0, | |
| "step": 19 | |
| }, | |
| { | |
| "aux_loss": 8.050614356994629, | |
| "entropy": 0.050554944202303886, | |
| "epoch": 0.4819277108433735, | |
| "grad_norm": 0.47147253155708313, | |
| "learning_rate": 1.449966828616625e-06, | |
| "loss": 0.09628961980342865, | |
| "mean_token_accuracy": 0.9888468682765961, | |
| "num_tokens": 3195488.0, | |
| "step": 20 | |
| }, | |
| { | |
| "aux_loss": 8.050609111785889, | |
| "entropy": 0.04489951767027378, | |
| "epoch": 0.5060240963855421, | |
| "grad_norm": 0.4890425503253937, | |
| "learning_rate": 1.4499590478213525e-06, | |
| "loss": 0.09394823014736176, | |
| "mean_token_accuracy": 0.9896246194839478, | |
| "num_tokens": 3369627.0, | |
| "step": 21 | |
| }, | |
| { | |
| "aux_loss": 8.047994613647461, | |
| "entropy": 0.0530005544424057, | |
| "epoch": 0.5301204819277109, | |
| "grad_norm": 0.5181686878204346, | |
| "learning_rate": 1.4499504480597702e-06, | |
| "loss": 0.09846185147762299, | |
| "mean_token_accuracy": 0.9879846572875977, | |
| "num_tokens": 3520643.0, | |
| "step": 22 | |
| }, | |
| { | |
| "aux_loss": 8.049047946929932, | |
| "entropy": 0.039870962500572205, | |
| "epoch": 0.5542168674698795, | |
| "grad_norm": 0.41603270173072815, | |
| "learning_rate": 1.4499410293513081e-06, | |
| "loss": 0.09075028449296951, | |
| "mean_token_accuracy": 0.9908623099327087, | |
| "num_tokens": 3702510.0, | |
| "step": 23 | |
| }, | |
| { | |
| "aux_loss": 8.050177097320557, | |
| "entropy": 0.05053388141095638, | |
| "epoch": 0.5783132530120482, | |
| "grad_norm": 0.4234795570373535, | |
| "learning_rate": 1.449930791717248e-06, | |
| "loss": 0.09689382463693619, | |
| "mean_token_accuracy": 0.9886369109153748, | |
| "num_tokens": 3867610.0, | |
| "step": 24 | |
| }, | |
| { | |
| "aux_loss": 8.048462867736816, | |
| "entropy": 0.049235520884394646, | |
| "epoch": 0.6024096385542169, | |
| "grad_norm": 0.4375890791416168, | |
| "learning_rate": 1.4499197351807219e-06, | |
| "loss": 0.09504671394824982, | |
| "mean_token_accuracy": 0.9891063868999481, | |
| "num_tokens": 4021186.0, | |
| "step": 25 | |
| }, | |
| { | |
| "aux_loss": 8.050186157226562, | |
| "entropy": 0.048021236434578896, | |
| "epoch": 0.6265060240963856, | |
| "grad_norm": 0.42389488220214844, | |
| "learning_rate": 1.449907859766711e-06, | |
| "loss": 0.09462042152881622, | |
| "mean_token_accuracy": 0.9893973469734192, | |
| "num_tokens": 4183102.0, | |
| "step": 26 | |
| }, | |
| { | |
| "aux_loss": 8.04945182800293, | |
| "entropy": 0.042689668014645576, | |
| "epoch": 0.6506024096385542, | |
| "grad_norm": 0.40038207173347473, | |
| "learning_rate": 1.4498951655020479e-06, | |
| "loss": 0.09214234352111816, | |
| "mean_token_accuracy": 0.9904394745826721, | |
| "num_tokens": 4348628.0, | |
| "step": 27 | |
| }, | |
| { | |
| "aux_loss": 8.050597667694092, | |
| "entropy": 0.05143065005540848, | |
| "epoch": 0.6746987951807228, | |
| "grad_norm": 0.4422961473464966, | |
| "learning_rate": 1.4498816524154148e-06, | |
| "loss": 0.09722501039505005, | |
| "mean_token_accuracy": 0.9888282418251038, | |
| "num_tokens": 4511217.0, | |
| "step": 28 | |
| }, | |
| { | |
| "aux_loss": 8.048704147338867, | |
| "entropy": 0.044764744117856026, | |
| "epoch": 0.6987951807228916, | |
| "grad_norm": 0.4279940128326416, | |
| "learning_rate": 1.4498673205373443e-06, | |
| "loss": 0.09300120174884796, | |
| "mean_token_accuracy": 0.9899511337280273, | |
| "num_tokens": 4684266.0, | |
| "step": 29 | |
| }, | |
| { | |
| "aux_loss": 8.047113418579102, | |
| "entropy": 0.04995520040392876, | |
| "epoch": 0.7228915662650602, | |
| "grad_norm": 0.45497408509254456, | |
| "learning_rate": 1.4498521699002187e-06, | |
| "loss": 0.0966445729136467, | |
| "mean_token_accuracy": 0.9883378744125366, | |
| "num_tokens": 4858009.0, | |
| "step": 30 | |
| }, | |
| { | |
| "aux_loss": 8.050236701965332, | |
| "entropy": 0.04773502238094807, | |
| "epoch": 0.7469879518072289, | |
| "grad_norm": 0.40059739351272583, | |
| "learning_rate": 1.4498362005382707e-06, | |
| "loss": 0.09425598382949829, | |
| "mean_token_accuracy": 0.9895853698253632, | |
| "num_tokens": 5041560.0, | |
| "step": 31 | |
| }, | |
| { | |
| "aux_loss": 8.0483078956604, | |
| "entropy": 0.04463958367705345, | |
| "epoch": 0.7710843373493976, | |
| "grad_norm": 0.421403706073761, | |
| "learning_rate": 1.4498194124875822e-06, | |
| "loss": 0.0921817421913147, | |
| "mean_token_accuracy": 0.9903146624565125, | |
| "num_tokens": 5207925.0, | |
| "step": 32 | |
| }, | |
| { | |
| "aux_loss": 8.051517486572266, | |
| "entropy": 0.0455746091902256, | |
| "epoch": 0.7951807228915663, | |
| "grad_norm": 0.39467114210128784, | |
| "learning_rate": 1.449801805786086e-06, | |
| "loss": 0.09311801195144653, | |
| "mean_token_accuracy": 0.9897293448448181, | |
| "num_tokens": 5410900.0, | |
| "step": 33 | |
| }, | |
| { | |
| "aux_loss": 8.047285079956055, | |
| "entropy": 0.04475598596036434, | |
| "epoch": 0.8192771084337349, | |
| "grad_norm": 0.3885505795478821, | |
| "learning_rate": 1.4497833804735631e-06, | |
| "loss": 0.09283807128667831, | |
| "mean_token_accuracy": 0.9904457926750183, | |
| "num_tokens": 5579379.0, | |
| "step": 34 | |
| }, | |
| { | |
| "aux_loss": 8.049206733703613, | |
| "entropy": 0.045768845826387405, | |
| "epoch": 0.8433734939759037, | |
| "grad_norm": 0.38822969794273376, | |
| "learning_rate": 1.4497641365916457e-06, | |
| "loss": 0.0930660218000412, | |
| "mean_token_accuracy": 0.9898505806922913, | |
| "num_tokens": 5756181.0, | |
| "step": 35 | |
| }, | |
| { | |
| "aux_loss": 8.049548149108887, | |
| "entropy": 0.0442772526293993, | |
| "epoch": 0.8674698795180723, | |
| "grad_norm": 0.42765918374061584, | |
| "learning_rate": 1.4497440741838147e-06, | |
| "loss": 0.09213966131210327, | |
| "mean_token_accuracy": 0.9906859695911407, | |
| "num_tokens": 5913888.0, | |
| "step": 36 | |
| }, | |
| { | |
| "aux_loss": 8.047310829162598, | |
| "entropy": 0.05137152969837189, | |
| "epoch": 0.891566265060241, | |
| "grad_norm": 0.46749433875083923, | |
| "learning_rate": 1.4497231932954002e-06, | |
| "loss": 0.09635019302368164, | |
| "mean_token_accuracy": 0.9894134104251862, | |
| "num_tokens": 6073822.0, | |
| "step": 37 | |
| }, | |
| { | |
| "aux_loss": 8.04575777053833, | |
| "entropy": 0.04952680319547653, | |
| "epoch": 0.9156626506024096, | |
| "grad_norm": 0.40102288126945496, | |
| "learning_rate": 1.4497014939735825e-06, | |
| "loss": 0.09520888328552246, | |
| "mean_token_accuracy": 0.9900149703025818, | |
| "num_tokens": 6228998.0, | |
| "step": 38 | |
| }, | |
| { | |
| "aux_loss": 8.05048656463623, | |
| "entropy": 0.05141362361609936, | |
| "epoch": 0.9397590361445783, | |
| "grad_norm": 0.45891159772872925, | |
| "learning_rate": 1.4496789762673903e-06, | |
| "loss": 0.09608915448188782, | |
| "mean_token_accuracy": 0.9895050525665283, | |
| "num_tokens": 6380479.0, | |
| "step": 39 | |
| }, | |
| { | |
| "aux_loss": 8.049390316009521, | |
| "entropy": 0.0542642492800951, | |
| "epoch": 0.963855421686747, | |
| "grad_norm": 0.4678654968738556, | |
| "learning_rate": 1.4496556402277018e-06, | |
| "loss": 0.0986521765589714, | |
| "mean_token_accuracy": 0.9882148206233978, | |
| "num_tokens": 6514347.0, | |
| "step": 40 | |
| }, | |
| { | |
| "aux_loss": 8.047286033630371, | |
| "entropy": 0.04129311256110668, | |
| "epoch": 0.9879518072289156, | |
| "grad_norm": 0.42529988288879395, | |
| "learning_rate": 1.4496314859072443e-06, | |
| "loss": 0.09138549864292145, | |
| "mean_token_accuracy": 0.9908298254013062, | |
| "num_tokens": 6684739.0, | |
| "step": 41 | |
| }, | |
| { | |
| "aux_loss": 8.050637245178223, | |
| "entropy": 0.04988313093781471, | |
| "epoch": 1.0, | |
| "grad_norm": 0.5628013610839844, | |
| "learning_rate": 1.4496065133605937e-06, | |
| "loss": 0.06163128837943077, | |
| "mean_token_accuracy": 0.9887231588363647, | |
| "num_tokens": 6741463.0, | |
| "step": 42 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 2100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.3965576798533059e+18, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |