|
{ |
|
"best_metric": 0.3037484288215637, |
|
"best_model_checkpoint": "./ryan_model3272024/checkpoint-250", |
|
"epoch": 1.4627659574468086, |
|
"eval_steps": 25, |
|
"global_step": 275, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.03, |
|
"grad_norm": 0.5357832312583923, |
|
"learning_rate": 0.00019867021276595746, |
|
"loss": 0.4838, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"grad_norm": 0.3301275372505188, |
|
"learning_rate": 0.00019734042553191489, |
|
"loss": 0.3457, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 0.829723060131073, |
|
"learning_rate": 0.00019601063829787234, |
|
"loss": 0.4508, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"grad_norm": 0.43481916189193726, |
|
"learning_rate": 0.00019468085106382982, |
|
"loss": 0.3205, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 0.9304245114326477, |
|
"learning_rate": 0.00019335106382978724, |
|
"loss": 0.4062, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"eval_loss": 0.3798711597919464, |
|
"eval_na_accuracy": 0.6216216087341309, |
|
"eval_ordinal_accuracy": 0.23954372107982635, |
|
"eval_ordinal_mae": 0.9244347810745239, |
|
"eval_runtime": 31.9197, |
|
"eval_samples_per_second": 9.399, |
|
"eval_steps_per_second": 1.19, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"grad_norm": 0.8552330136299133, |
|
"learning_rate": 0.0001920212765957447, |
|
"loss": 0.3029, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"grad_norm": 0.43845850229263306, |
|
"learning_rate": 0.00019069148936170214, |
|
"loss": 0.3261, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"grad_norm": 0.18216854333877563, |
|
"learning_rate": 0.00018936170212765957, |
|
"loss": 0.2895, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"grad_norm": 0.7537259459495544, |
|
"learning_rate": 0.00018829787234042554, |
|
"loss": 0.4943, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"grad_norm": 0.4183604419231415, |
|
"learning_rate": 0.000186968085106383, |
|
"loss": 0.3536, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"eval_loss": 0.3699643015861511, |
|
"eval_na_accuracy": 0.6756756901741028, |
|
"eval_ordinal_accuracy": 0.38403043150901794, |
|
"eval_ordinal_mae": 0.9066693782806396, |
|
"eval_runtime": 12.0769, |
|
"eval_samples_per_second": 24.841, |
|
"eval_steps_per_second": 3.147, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"grad_norm": 0.8079000115394592, |
|
"learning_rate": 0.00018563829787234044, |
|
"loss": 0.3601, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"grad_norm": 0.9893763065338135, |
|
"learning_rate": 0.0001843085106382979, |
|
"loss": 0.4152, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"grad_norm": 1.3993595838546753, |
|
"learning_rate": 0.00018297872340425532, |
|
"loss": 0.448, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"grad_norm": 0.45827603340148926, |
|
"learning_rate": 0.00018164893617021277, |
|
"loss": 0.3132, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"grad_norm": 1.4677202701568604, |
|
"learning_rate": 0.00018031914893617022, |
|
"loss": 0.4295, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"eval_loss": 0.34051504731178284, |
|
"eval_na_accuracy": 0.7837837934494019, |
|
"eval_ordinal_accuracy": 0.29657796025276184, |
|
"eval_ordinal_mae": 0.8797782063484192, |
|
"eval_runtime": 11.5094, |
|
"eval_samples_per_second": 26.066, |
|
"eval_steps_per_second": 3.302, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"grad_norm": 1.1136772632598877, |
|
"learning_rate": 0.00017898936170212767, |
|
"loss": 0.2444, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"grad_norm": 3.5127644538879395, |
|
"learning_rate": 0.00017765957446808512, |
|
"loss": 0.4542, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 0.6393898725509644, |
|
"learning_rate": 0.00017632978723404257, |
|
"loss": 0.3411, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 0.8198608160018921, |
|
"learning_rate": 0.000175, |
|
"loss": 0.3184, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"grad_norm": 1.1194807291030884, |
|
"learning_rate": 0.00017367021276595745, |
|
"loss": 0.4114, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"eval_loss": 0.39057785272598267, |
|
"eval_na_accuracy": 0.7297297120094299, |
|
"eval_ordinal_accuracy": 0.35361215472221375, |
|
"eval_ordinal_mae": 0.8806185126304626, |
|
"eval_runtime": 12.2664, |
|
"eval_samples_per_second": 24.457, |
|
"eval_steps_per_second": 3.098, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"grad_norm": 3.365068197250366, |
|
"learning_rate": 0.0001723404255319149, |
|
"loss": 0.469, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"grad_norm": 0.6197894215583801, |
|
"learning_rate": 0.00017101063829787233, |
|
"loss": 0.2738, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"grad_norm": 0.5341880917549133, |
|
"learning_rate": 0.0001696808510638298, |
|
"loss": 0.2867, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 1.0934885740280151, |
|
"learning_rate": 0.00016835106382978726, |
|
"loss": 0.4105, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"grad_norm": 0.5764520764350891, |
|
"learning_rate": 0.00016702127659574468, |
|
"loss": 0.3521, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"eval_loss": 0.35300251841545105, |
|
"eval_na_accuracy": 0.8108108043670654, |
|
"eval_ordinal_accuracy": 0.42585551738739014, |
|
"eval_ordinal_mae": 0.8441764116287231, |
|
"eval_runtime": 12.3015, |
|
"eval_samples_per_second": 24.387, |
|
"eval_steps_per_second": 3.089, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"grad_norm": 0.2090584933757782, |
|
"learning_rate": 0.00016569148936170213, |
|
"loss": 0.294, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"grad_norm": 0.2995198369026184, |
|
"learning_rate": 0.00016436170212765958, |
|
"loss": 0.3099, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"grad_norm": 0.41820451617240906, |
|
"learning_rate": 0.00016303191489361703, |
|
"loss": 0.4392, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"grad_norm": 1.1886084079742432, |
|
"learning_rate": 0.00016170212765957446, |
|
"loss": 0.3725, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"grad_norm": 0.8490511178970337, |
|
"learning_rate": 0.00016037234042553194, |
|
"loss": 0.3349, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"eval_loss": 0.34123122692108154, |
|
"eval_na_accuracy": 0.7297297120094299, |
|
"eval_ordinal_accuracy": 0.4752851724624634, |
|
"eval_ordinal_mae": 0.8015652298927307, |
|
"eval_runtime": 12.509, |
|
"eval_samples_per_second": 23.983, |
|
"eval_steps_per_second": 3.038, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"grad_norm": 0.4098907709121704, |
|
"learning_rate": 0.00015904255319148936, |
|
"loss": 0.2306, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"grad_norm": 1.5454349517822266, |
|
"learning_rate": 0.0001577127659574468, |
|
"loss": 0.2382, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"grad_norm": 0.61043381690979, |
|
"learning_rate": 0.00015638297872340426, |
|
"loss": 0.3448, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"grad_norm": 0.7741652727127075, |
|
"learning_rate": 0.00015505319148936171, |
|
"loss": 0.2037, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"grad_norm": 0.5108156204223633, |
|
"learning_rate": 0.00015372340425531914, |
|
"loss": 0.4612, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"eval_loss": 0.36386463046073914, |
|
"eval_na_accuracy": 0.5405405163764954, |
|
"eval_ordinal_accuracy": 0.46768060326576233, |
|
"eval_ordinal_mae": 0.7603853940963745, |
|
"eval_runtime": 12.3807, |
|
"eval_samples_per_second": 24.231, |
|
"eval_steps_per_second": 3.069, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 0.8889250159263611, |
|
"learning_rate": 0.00015239361702127662, |
|
"loss": 0.4401, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"grad_norm": 1.047706127166748, |
|
"learning_rate": 0.00015106382978723407, |
|
"loss": 0.2771, |
|
"step": 185 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"grad_norm": 0.6727350354194641, |
|
"learning_rate": 0.0001497340425531915, |
|
"loss": 0.3726, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"grad_norm": 0.4043642282485962, |
|
"learning_rate": 0.00014840425531914894, |
|
"loss": 0.3504, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"grad_norm": 1.089250922203064, |
|
"learning_rate": 0.0001470744680851064, |
|
"loss": 0.2424, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"eval_loss": 0.32972484827041626, |
|
"eval_na_accuracy": 0.7027027010917664, |
|
"eval_ordinal_accuracy": 0.48669201135635376, |
|
"eval_ordinal_mae": 0.7117426991462708, |
|
"eval_runtime": 11.8333, |
|
"eval_samples_per_second": 25.352, |
|
"eval_steps_per_second": 3.211, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"grad_norm": 0.6453298926353455, |
|
"learning_rate": 0.00014574468085106382, |
|
"loss": 0.2115, |
|
"step": 205 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"grad_norm": 0.7021524310112, |
|
"learning_rate": 0.00014441489361702127, |
|
"loss": 0.2281, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"grad_norm": 0.7665510773658752, |
|
"learning_rate": 0.00014308510638297875, |
|
"loss": 0.2048, |
|
"step": 215 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"grad_norm": 1.2339574098587036, |
|
"learning_rate": 0.00014175531914893617, |
|
"loss": 0.2344, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"grad_norm": 2.540107011795044, |
|
"learning_rate": 0.00014042553191489363, |
|
"loss": 0.2928, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"eval_loss": 0.3493916690349579, |
|
"eval_na_accuracy": 0.6756756901741028, |
|
"eval_ordinal_accuracy": 0.5285171270370483, |
|
"eval_ordinal_mae": 0.6955077052116394, |
|
"eval_runtime": 10.8667, |
|
"eval_samples_per_second": 27.607, |
|
"eval_steps_per_second": 3.497, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"grad_norm": 0.7262032628059387, |
|
"learning_rate": 0.00013909574468085108, |
|
"loss": 0.3973, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"grad_norm": 0.28402724862098694, |
|
"learning_rate": 0.0001377659574468085, |
|
"loss": 0.218, |
|
"step": 235 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"grad_norm": 1.5170676708221436, |
|
"learning_rate": 0.00013643617021276595, |
|
"loss": 0.227, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"grad_norm": 0.35739636421203613, |
|
"learning_rate": 0.0001351063829787234, |
|
"loss": 0.2275, |
|
"step": 245 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"grad_norm": 0.5471745133399963, |
|
"learning_rate": 0.00013377659574468086, |
|
"loss": 0.2436, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"eval_loss": 0.3037484288215637, |
|
"eval_na_accuracy": 0.7297297120094299, |
|
"eval_ordinal_accuracy": 0.5285171270370483, |
|
"eval_ordinal_mae": 0.6723113059997559, |
|
"eval_runtime": 12.062, |
|
"eval_samples_per_second": 24.871, |
|
"eval_steps_per_second": 3.15, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"grad_norm": 0.41173043847084045, |
|
"learning_rate": 0.0001324468085106383, |
|
"loss": 0.2408, |
|
"step": 255 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"grad_norm": 0.8529615998268127, |
|
"learning_rate": 0.00013111702127659576, |
|
"loss": 0.2935, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"grad_norm": 1.3896653652191162, |
|
"learning_rate": 0.00012978723404255318, |
|
"loss": 0.2547, |
|
"step": 265 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"grad_norm": 0.30819597840309143, |
|
"learning_rate": 0.00012845744680851063, |
|
"loss": 0.3372, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"grad_norm": 2.0342652797698975, |
|
"learning_rate": 0.00012712765957446809, |
|
"loss": 0.2776, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"eval_loss": 0.3365646004676819, |
|
"eval_na_accuracy": 0.5945945978164673, |
|
"eval_ordinal_accuracy": 0.517110288143158, |
|
"eval_ordinal_mae": 0.672748863697052, |
|
"eval_runtime": 11.4536, |
|
"eval_samples_per_second": 26.193, |
|
"eval_steps_per_second": 3.318, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"step": 275, |
|
"total_flos": 3.403570199991091e+17, |
|
"train_loss": 0.32911812565543436, |
|
"train_runtime": 761.2747, |
|
"train_samples_per_second": 15.763, |
|
"train_steps_per_second": 0.988 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 752, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 25, |
|
"total_flos": 3.403570199991091e+17, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|