| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.949579831932773, | |
| "eval_steps": 8, | |
| "global_step": 58, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03361344537815126, | |
| "grad_norm": 1.921875, | |
| "learning_rate": 2e-05, | |
| "loss": 3.1589, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.03361344537815126, | |
| "eval_loss": 3.214388847351074, | |
| "eval_runtime": 9.5403, | |
| "eval_samples_per_second": 5.241, | |
| "eval_steps_per_second": 0.734, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.06722689075630252, | |
| "grad_norm": 1.8984375, | |
| "learning_rate": 4e-05, | |
| "loss": 3.2696, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.10084033613445378, | |
| "grad_norm": 1.7109375, | |
| "learning_rate": 6e-05, | |
| "loss": 3.4298, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.13445378151260504, | |
| "grad_norm": 1.84375, | |
| "learning_rate": 8e-05, | |
| "loss": 3.1625, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.16806722689075632, | |
| "grad_norm": 1.875, | |
| "learning_rate": 0.0001, | |
| "loss": 3.2503, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.20168067226890757, | |
| "grad_norm": 1.7734375, | |
| "learning_rate": 0.00012, | |
| "loss": 3.1762, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.23529411764705882, | |
| "grad_norm": 1.3828125, | |
| "learning_rate": 0.00014, | |
| "loss": 2.8709, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.2689075630252101, | |
| "grad_norm": 1.171875, | |
| "learning_rate": 0.00016, | |
| "loss": 2.8091, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.2689075630252101, | |
| "eval_loss": 2.6286215782165527, | |
| "eval_runtime": 10.6222, | |
| "eval_samples_per_second": 4.707, | |
| "eval_steps_per_second": 0.659, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.3025210084033613, | |
| "grad_norm": 1.0078125, | |
| "learning_rate": 0.00018, | |
| "loss": 2.6691, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.33613445378151263, | |
| "grad_norm": 0.82421875, | |
| "learning_rate": 0.0002, | |
| "loss": 2.6851, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.3697478991596639, | |
| "grad_norm": 0.828125, | |
| "learning_rate": 0.00019995608365087946, | |
| "loss": 2.5119, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.40336134453781514, | |
| "grad_norm": 0.65234375, | |
| "learning_rate": 0.00019982437317643217, | |
| "loss": 2.3433, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.4369747899159664, | |
| "grad_norm": 0.73046875, | |
| "learning_rate": 0.0001996049842615217, | |
| "loss": 2.3176, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.47058823529411764, | |
| "grad_norm": 0.7109375, | |
| "learning_rate": 0.00019929810960135172, | |
| "loss": 2.2936, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.5042016806722689, | |
| "grad_norm": 0.7890625, | |
| "learning_rate": 0.0001989040187322164, | |
| "loss": 2.3125, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.5378151260504201, | |
| "grad_norm": 0.69921875, | |
| "learning_rate": 0.00019842305779475968, | |
| "loss": 2.312, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.5378151260504201, | |
| "eval_loss": 2.242363691329956, | |
| "eval_runtime": 10.6302, | |
| "eval_samples_per_second": 4.704, | |
| "eval_steps_per_second": 0.659, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.5714285714285714, | |
| "grad_norm": 0.70703125, | |
| "learning_rate": 0.0001978556492299504, | |
| "loss": 2.2591, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.6050420168067226, | |
| "grad_norm": 0.70703125, | |
| "learning_rate": 0.0001972022914080411, | |
| "loss": 2.3639, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.6386554621848739, | |
| "grad_norm": 0.7734375, | |
| "learning_rate": 0.00019646355819083589, | |
| "loss": 2.2533, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.6722689075630253, | |
| "grad_norm": 0.58984375, | |
| "learning_rate": 0.00019564009842765225, | |
| "loss": 2.2628, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.7058823529411765, | |
| "grad_norm": 0.7265625, | |
| "learning_rate": 0.00019473263538541914, | |
| "loss": 2.2931, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.7394957983193278, | |
| "grad_norm": 0.69140625, | |
| "learning_rate": 0.0001937419661134121, | |
| "loss": 2.2773, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.773109243697479, | |
| "grad_norm": 0.7109375, | |
| "learning_rate": 0.00019266896074318334, | |
| "loss": 2.3788, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.8067226890756303, | |
| "grad_norm": 0.59375, | |
| "learning_rate": 0.00019151456172430183, | |
| "loss": 2.0133, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.8067226890756303, | |
| "eval_loss": 2.153235673904419, | |
| "eval_runtime": 10.6243, | |
| "eval_samples_per_second": 4.706, | |
| "eval_steps_per_second": 0.659, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.8403361344537815, | |
| "grad_norm": 0.53515625, | |
| "learning_rate": 0.00019027978299657436, | |
| "loss": 2.086, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.8739495798319328, | |
| "grad_norm": 0.70703125, | |
| "learning_rate": 0.00018896570909947475, | |
| "loss": 2.2269, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.907563025210084, | |
| "grad_norm": 0.65625, | |
| "learning_rate": 0.0001875734942195637, | |
| "loss": 2.3534, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.9411764705882353, | |
| "grad_norm": 0.55078125, | |
| "learning_rate": 0.00018610436117673555, | |
| "loss": 2.1109, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.9747899159663865, | |
| "grad_norm": 0.52734375, | |
| "learning_rate": 0.0001845596003501826, | |
| "loss": 2.2316, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.0084033613445378, | |
| "grad_norm": 0.66796875, | |
| "learning_rate": 0.0001829405685450202, | |
| "loss": 2.3328, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.0420168067226891, | |
| "grad_norm": 0.455078125, | |
| "learning_rate": 0.00018124868780056814, | |
| "loss": 2.1319, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.0756302521008403, | |
| "grad_norm": 0.455078125, | |
| "learning_rate": 0.00017948544414133534, | |
| "loss": 2.1417, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.0756302521008403, | |
| "eval_loss": 2.1120786666870117, | |
| "eval_runtime": 10.6004, | |
| "eval_samples_per_second": 4.717, | |
| "eval_steps_per_second": 0.66, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.1092436974789917, | |
| "grad_norm": 0.359375, | |
| "learning_rate": 0.00017765238627180424, | |
| "loss": 2.1163, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.1428571428571428, | |
| "grad_norm": 0.4140625, | |
| "learning_rate": 0.00017575112421616202, | |
| "loss": 2.0358, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.1764705882352942, | |
| "grad_norm": 0.353515625, | |
| "learning_rate": 0.00017378332790417273, | |
| "loss": 2.1566, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.2100840336134453, | |
| "grad_norm": 0.396484375, | |
| "learning_rate": 0.00017175072570443312, | |
| "loss": 2.1398, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.2436974789915967, | |
| "grad_norm": 0.42578125, | |
| "learning_rate": 0.00016965510290629972, | |
| "loss": 2.2475, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.2773109243697478, | |
| "grad_norm": 0.37890625, | |
| "learning_rate": 0.00016749830015182107, | |
| "loss": 2.1305, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.3109243697478992, | |
| "grad_norm": 0.36328125, | |
| "learning_rate": 0.00016528221181905217, | |
| "loss": 2.2217, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.3445378151260505, | |
| "grad_norm": 0.3671875, | |
| "learning_rate": 0.00016300878435817113, | |
| "loss": 2.0591, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.3445378151260505, | |
| "eval_loss": 2.0889272689819336, | |
| "eval_runtime": 10.6267, | |
| "eval_samples_per_second": 4.705, | |
| "eval_steps_per_second": 0.659, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.3781512605042017, | |
| "grad_norm": 0.375, | |
| "learning_rate": 0.00016068001458185936, | |
| "loss": 2.0942, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 1.4117647058823528, | |
| "grad_norm": 0.396484375, | |
| "learning_rate": 0.0001582979479114472, | |
| "loss": 1.9785, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.4453781512605042, | |
| "grad_norm": 0.373046875, | |
| "learning_rate": 0.00015586467658036524, | |
| "loss": 2.2329, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 1.4789915966386555, | |
| "grad_norm": 0.341796875, | |
| "learning_rate": 0.0001533823377964791, | |
| "loss": 1.9181, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.5126050420168067, | |
| "grad_norm": 0.353515625, | |
| "learning_rate": 0.00015085311186492206, | |
| "loss": 1.9433, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.5462184873949578, | |
| "grad_norm": 0.3671875, | |
| "learning_rate": 0.00014827922027307451, | |
| "loss": 2.0125, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.5798319327731094, | |
| "grad_norm": 0.39453125, | |
| "learning_rate": 0.0001456629237393713, | |
| "loss": 2.0676, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.6134453781512605, | |
| "grad_norm": 0.369140625, | |
| "learning_rate": 0.00014300652022765207, | |
| "loss": 2.0986, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.6134453781512605, | |
| "eval_loss": 2.0764036178588867, | |
| "eval_runtime": 10.6017, | |
| "eval_samples_per_second": 4.716, | |
| "eval_steps_per_second": 0.66, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.6470588235294117, | |
| "grad_norm": 0.4375, | |
| "learning_rate": 0.00014031234292879725, | |
| "loss": 2.0797, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.680672268907563, | |
| "grad_norm": 0.40234375, | |
| "learning_rate": 0.00013758275821142382, | |
| "loss": 1.8857, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.7142857142857144, | |
| "grad_norm": 0.365234375, | |
| "learning_rate": 0.0001348201635434399, | |
| "loss": 2.1623, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 1.7478991596638656, | |
| "grad_norm": 0.390625, | |
| "learning_rate": 0.00013202698538628376, | |
| "loss": 2.0474, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.7815126050420167, | |
| "grad_norm": 0.388671875, | |
| "learning_rate": 0.00012920567706369758, | |
| "loss": 2.1801, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 1.815126050420168, | |
| "grad_norm": 0.412109375, | |
| "learning_rate": 0.00012635871660690676, | |
| "loss": 2.1065, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 1.8487394957983194, | |
| "grad_norm": 0.42578125, | |
| "learning_rate": 0.00012348860457809838, | |
| "loss": 2.1388, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 1.8823529411764706, | |
| "grad_norm": 0.4140625, | |
| "learning_rate": 0.00012059786187410984, | |
| "loss": 2.0055, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.8823529411764706, | |
| "eval_loss": 2.0758326053619385, | |
| "eval_runtime": 10.585, | |
| "eval_samples_per_second": 4.724, | |
| "eval_steps_per_second": 0.661, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.9159663865546217, | |
| "grad_norm": 0.361328125, | |
| "learning_rate": 0.0001176890275122573, | |
| "loss": 1.8341, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 1.949579831932773, | |
| "grad_norm": 0.443359375, | |
| "learning_rate": 0.00011476465640024814, | |
| "loss": 2.1179, | |
| "step": 58 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 116, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 29, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3642534240976896.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |