| { | |
| "best_metric": 2.872375965118408, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-500", | |
| "epoch": 0.004827326530021144, | |
| "eval_steps": 50, | |
| "global_step": 500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 9.654653060042287e-06, | |
| "eval_loss": 3.0490081310272217, | |
| "eval_runtime": 599.4901, | |
| "eval_samples_per_second": 72.748, | |
| "eval_steps_per_second": 18.187, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 9.654653060042287e-05, | |
| "grad_norm": 9.069512367248535, | |
| "learning_rate": 4.12e-05, | |
| "loss": 5.2993, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.00019309306120084574, | |
| "grad_norm": 12.16044807434082, | |
| "learning_rate": 8.24e-05, | |
| "loss": 5.2249, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.00028963959180126864, | |
| "grad_norm": 14.883082389831543, | |
| "learning_rate": 0.0001236, | |
| "loss": 5.539, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.0003861861224016915, | |
| "grad_norm": 16.756444931030273, | |
| "learning_rate": 0.0001648, | |
| "loss": 6.6809, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.0004827326530021144, | |
| "grad_norm": 19.068893432617188, | |
| "learning_rate": 0.000206, | |
| "loss": 7.8567, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.0004827326530021144, | |
| "eval_loss": 3.0399818420410156, | |
| "eval_runtime": 598.5166, | |
| "eval_samples_per_second": 72.867, | |
| "eval_steps_per_second": 18.217, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.0005792791836025373, | |
| "grad_norm": 26.745712280273438, | |
| "learning_rate": 0.0002057490971767619, | |
| "loss": 5.1007, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.0006758257142029601, | |
| "grad_norm": 39.823272705078125, | |
| "learning_rate": 0.00020499761108038175, | |
| "loss": 5.3979, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.000772372244803383, | |
| "grad_norm": 35.91092300415039, | |
| "learning_rate": 0.00020374920287558198, | |
| "loss": 5.5911, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.0008689187754038058, | |
| "grad_norm": 69.34488677978516, | |
| "learning_rate": 0.00020200995468164684, | |
| "loss": 6.2759, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.0009654653060042288, | |
| "grad_norm": 22.20043182373047, | |
| "learning_rate": 0.00019978833994094855, | |
| "loss": 7.4368, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.0009654653060042288, | |
| "eval_loss": 3.062361240386963, | |
| "eval_runtime": 601.2603, | |
| "eval_samples_per_second": 72.534, | |
| "eval_steps_per_second": 18.134, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.0010620118366046515, | |
| "grad_norm": 32.1593132019043, | |
| "learning_rate": 0.00019709518213718787, | |
| "loss": 5.3581, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.0011585583672050746, | |
| "grad_norm": 26.68710708618164, | |
| "learning_rate": 0.00019394360206446948, | |
| "loss": 5.1333, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.0012551048978054974, | |
| "grad_norm": 22.648284912109375, | |
| "learning_rate": 0.00019034895390411186, | |
| "loss": 5.7831, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.0013516514284059203, | |
| "grad_norm": 23.975393295288086, | |
| "learning_rate": 0.0001863287504206196, | |
| "loss": 6.2112, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.0014481979590063431, | |
| "grad_norm": 48.25133514404297, | |
| "learning_rate": 0.00018190257764125471, | |
| "loss": 7.9916, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.0014481979590063431, | |
| "eval_loss": 3.3823323249816895, | |
| "eval_runtime": 600.8813, | |
| "eval_samples_per_second": 72.58, | |
| "eval_steps_per_second": 18.145, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.001544744489606766, | |
| "grad_norm": 12.734755516052246, | |
| "learning_rate": 0.00017709199943488106, | |
| "loss": 5.746, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.0016412910202071888, | |
| "grad_norm": 19.810941696166992, | |
| "learning_rate": 0.00017192045245496238, | |
| "loss": 5.7286, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.0017378375508076116, | |
| "grad_norm": 19.0549259185791, | |
| "learning_rate": 0.00016641313195854277, | |
| "loss": 5.7489, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.0018343840814080345, | |
| "grad_norm": 13.497769355773926, | |
| "learning_rate": 0.0001605968690574869, | |
| "loss": 6.5552, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.0019309306120084576, | |
| "grad_norm": 48.43019485473633, | |
| "learning_rate": 0.0001545, | |
| "loss": 7.6411, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.0019309306120084576, | |
| "eval_loss": 3.024033784866333, | |
| "eval_runtime": 598.9829, | |
| "eval_samples_per_second": 72.81, | |
| "eval_steps_per_second": 18.203, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.00202747714260888, | |
| "grad_norm": 16.620399475097656, | |
| "learning_rate": 0.00014815222811927496, | |
| "loss": 5.3396, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.002124023673209303, | |
| "grad_norm": 14.036992073059082, | |
| "learning_rate": 0.00014158447912183896, | |
| "loss": 5.2628, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.0022205702038097263, | |
| "grad_norm": 13.502534866333008, | |
| "learning_rate": 0.00013482875042061958, | |
| "loss": 5.545, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.002317116734410149, | |
| "grad_norm": 15.779216766357422, | |
| "learning_rate": 0.00012791795524676576, | |
| "loss": 5.9849, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.002413663265010572, | |
| "grad_norm": 23.224111557006836, | |
| "learning_rate": 0.00012088576229969385, | |
| "loss": 7.1386, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.002413663265010572, | |
| "eval_loss": 2.9750823974609375, | |
| "eval_runtime": 594.6214, | |
| "eval_samples_per_second": 73.344, | |
| "eval_steps_per_second": 18.336, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.002510209795610995, | |
| "grad_norm": 10.431509017944336, | |
| "learning_rate": 0.0001137664317165683, | |
| "loss": 5.563, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.0026067563262114177, | |
| "grad_norm": 12.937127113342285, | |
| "learning_rate": 0.00010659464816035761, | |
| "loss": 5.4473, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.0027033028568118405, | |
| "grad_norm": 10.73960018157959, | |
| "learning_rate": 9.940535183964242e-05, | |
| "loss": 5.499, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.0027998493874122634, | |
| "grad_norm": 12.294966697692871, | |
| "learning_rate": 9.22335682834317e-05, | |
| "loss": 6.223, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.0028963959180126862, | |
| "grad_norm": 25.903270721435547, | |
| "learning_rate": 8.511423770030617e-05, | |
| "loss": 7.2314, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.0028963959180126862, | |
| "eval_loss": 2.911633014678955, | |
| "eval_runtime": 591.9056, | |
| "eval_samples_per_second": 73.681, | |
| "eval_steps_per_second": 18.42, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.002992942448613109, | |
| "grad_norm": 13.487019538879395, | |
| "learning_rate": 7.808204475323423e-05, | |
| "loss": 5.2185, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.003089488979213532, | |
| "grad_norm": 19.71841049194336, | |
| "learning_rate": 7.117124957938042e-05, | |
| "loss": 5.3138, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.0031860355098139548, | |
| "grad_norm": 18.53927230834961, | |
| "learning_rate": 6.441552087816105e-05, | |
| "loss": 5.4884, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.0032825820404143776, | |
| "grad_norm": 17.105976104736328, | |
| "learning_rate": 5.784777188072502e-05, | |
| "loss": 5.8266, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.0033791285710148005, | |
| "grad_norm": 32.33679962158203, | |
| "learning_rate": 5.150000000000002e-05, | |
| "loss": 6.5896, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.0033791285710148005, | |
| "eval_loss": 2.8866002559661865, | |
| "eval_runtime": 591.3638, | |
| "eval_samples_per_second": 73.748, | |
| "eval_steps_per_second": 18.437, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.0034756751016152233, | |
| "grad_norm": 18.319353103637695, | |
| "learning_rate": 4.540313094251309e-05, | |
| "loss": 5.55, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.003572221632215646, | |
| "grad_norm": 17.83504295349121, | |
| "learning_rate": 3.958686804145719e-05, | |
| "loss": 5.0744, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.003668768162816069, | |
| "grad_norm": 22.843358993530273, | |
| "learning_rate": 3.4079547545037634e-05, | |
| "loss": 5.3819, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.0037653146934164923, | |
| "grad_norm": 28.16783332824707, | |
| "learning_rate": 2.8908000565118947e-05, | |
| "loss": 5.9155, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.003861861224016915, | |
| "grad_norm": 37.42588424682617, | |
| "learning_rate": 2.4097422358745275e-05, | |
| "loss": 6.9787, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.003861861224016915, | |
| "eval_loss": 2.877124786376953, | |
| "eval_runtime": 595.4552, | |
| "eval_samples_per_second": 73.241, | |
| "eval_steps_per_second": 18.31, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.003958407754617338, | |
| "grad_norm": 13.854421615600586, | |
| "learning_rate": 1.9671249579380422e-05, | |
| "loss": 5.1705, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.00405495428521776, | |
| "grad_norm": 16.01457977294922, | |
| "learning_rate": 1.5651046095888127e-05, | |
| "loss": 5.1288, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.004151500815818184, | |
| "grad_norm": 13.360790252685547, | |
| "learning_rate": 1.205639793553052e-05, | |
| "loss": 5.3445, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.004248047346418606, | |
| "grad_norm": 15.994139671325684, | |
| "learning_rate": 8.904817862812098e-06, | |
| "loss": 5.7003, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.004344593877019029, | |
| "grad_norm": 25.979543685913086, | |
| "learning_rate": 6.211660059051443e-06, | |
| "loss": 6.8299, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.004344593877019029, | |
| "eval_loss": 2.874143123626709, | |
| "eval_runtime": 602.9673, | |
| "eval_samples_per_second": 72.329, | |
| "eval_steps_per_second": 18.082, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.004441140407619453, | |
| "grad_norm": 12.285646438598633, | |
| "learning_rate": 3.990045318353154e-06, | |
| "loss": 5.1388, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.004537686938219875, | |
| "grad_norm": 9.6546049118042, | |
| "learning_rate": 2.250797124418014e-06, | |
| "loss": 5.3243, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.004634233468820298, | |
| "grad_norm": 15.964618682861328, | |
| "learning_rate": 1.0023889196182526e-06, | |
| "loss": 5.4568, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.004730779999420721, | |
| "grad_norm": 16.29486656188965, | |
| "learning_rate": 2.5090282323810766e-07, | |
| "loss": 6.1612, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.004827326530021144, | |
| "grad_norm": 21.052181243896484, | |
| "learning_rate": 0.0, | |
| "loss": 6.7968, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.004827326530021144, | |
| "eval_loss": 2.872375965118408, | |
| "eval_runtime": 592.4933, | |
| "eval_samples_per_second": 73.608, | |
| "eval_steps_per_second": 18.402, | |
| "step": 500 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 500, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 50, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 3, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5128671190843392.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |