|
{ |
|
"best_metric": 0.32584547996520996, |
|
"best_model_checkpoint": "miner_id_24/checkpoint-25", |
|
"epoch": 0.007064641469445425, |
|
"eval_steps": 5, |
|
"global_step": 25, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.00028258565877781704, |
|
"grad_norm": 7.0867180824279785, |
|
"learning_rate": 2e-05, |
|
"loss": 4.3627, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.00028258565877781704, |
|
"eval_loss": 1.1540579795837402, |
|
"eval_runtime": 455.9223, |
|
"eval_samples_per_second": 3.268, |
|
"eval_steps_per_second": 1.634, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0005651713175556341, |
|
"grad_norm": 8.107670783996582, |
|
"learning_rate": 4e-05, |
|
"loss": 5.0805, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.0008477569763334511, |
|
"grad_norm": 7.456545352935791, |
|
"learning_rate": 6e-05, |
|
"loss": 4.7013, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0011303426351112682, |
|
"grad_norm": 7.036722183227539, |
|
"learning_rate": 8e-05, |
|
"loss": 4.5868, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.001412928293889085, |
|
"grad_norm": 6.056708335876465, |
|
"learning_rate": 0.0001, |
|
"loss": 4.2471, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.001412928293889085, |
|
"eval_loss": 0.8982149958610535, |
|
"eval_runtime": 454.5076, |
|
"eval_samples_per_second": 3.278, |
|
"eval_steps_per_second": 1.639, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.0016955139526669022, |
|
"grad_norm": 5.632623195648193, |
|
"learning_rate": 0.00012, |
|
"loss": 3.4771, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.001978099611444719, |
|
"grad_norm": 6.000317096710205, |
|
"learning_rate": 0.00014, |
|
"loss": 3.3221, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.0022606852702225363, |
|
"grad_norm": 6.009365081787109, |
|
"learning_rate": 0.00016, |
|
"loss": 2.7419, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.002543270929000353, |
|
"grad_norm": 5.749902248382568, |
|
"learning_rate": 0.00018, |
|
"loss": 2.565, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.00282585658777817, |
|
"grad_norm": 7.822487831115723, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7873, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.00282585658777817, |
|
"eval_loss": 0.435401976108551, |
|
"eval_runtime": 453.0574, |
|
"eval_samples_per_second": 3.289, |
|
"eval_steps_per_second": 1.644, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.0031084422465559873, |
|
"grad_norm": 8.154427528381348, |
|
"learning_rate": 0.00019781476007338058, |
|
"loss": 1.7293, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.0033910279053338045, |
|
"grad_norm": 3.9936041831970215, |
|
"learning_rate": 0.0001913545457642601, |
|
"loss": 1.5691, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.003673613564111621, |
|
"grad_norm": 3.17008376121521, |
|
"learning_rate": 0.00018090169943749476, |
|
"loss": 1.4452, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.003956199222889438, |
|
"grad_norm": 2.970133066177368, |
|
"learning_rate": 0.00016691306063588583, |
|
"loss": 1.5994, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.0042387848816672555, |
|
"grad_norm": 3.0812292098999023, |
|
"learning_rate": 0.00015000000000000001, |
|
"loss": 1.6177, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0042387848816672555, |
|
"eval_loss": 0.3540613651275635, |
|
"eval_runtime": 451.6427, |
|
"eval_samples_per_second": 3.299, |
|
"eval_steps_per_second": 1.65, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.004521370540445073, |
|
"grad_norm": 3.2199628353118896, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 1.3606, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.00480395619922289, |
|
"grad_norm": 2.6285812854766846, |
|
"learning_rate": 0.00011045284632676536, |
|
"loss": 1.748, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.005086541858000706, |
|
"grad_norm": 2.7720754146575928, |
|
"learning_rate": 8.954715367323468e-05, |
|
"loss": 1.7257, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.005369127516778523, |
|
"grad_norm": 2.474501132965088, |
|
"learning_rate": 6.909830056250527e-05, |
|
"loss": 1.3987, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.00565171317555634, |
|
"grad_norm": 2.400693893432617, |
|
"learning_rate": 5.000000000000002e-05, |
|
"loss": 1.4751, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.00565171317555634, |
|
"eval_loss": 0.3312912583351135, |
|
"eval_runtime": 450.7561, |
|
"eval_samples_per_second": 3.306, |
|
"eval_steps_per_second": 1.653, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0059342988343341575, |
|
"grad_norm": 2.3116421699523926, |
|
"learning_rate": 3.308693936411421e-05, |
|
"loss": 1.3819, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.006216884493111975, |
|
"grad_norm": 2.419229507446289, |
|
"learning_rate": 1.9098300562505266e-05, |
|
"loss": 1.3341, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.006499470151889792, |
|
"grad_norm": 2.5362722873687744, |
|
"learning_rate": 8.645454235739903e-06, |
|
"loss": 1.368, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.006782055810667609, |
|
"grad_norm": 2.0525970458984375, |
|
"learning_rate": 2.1852399266194314e-06, |
|
"loss": 1.037, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.007064641469445425, |
|
"grad_norm": 2.673909902572632, |
|
"learning_rate": 0.0, |
|
"loss": 1.3617, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.007064641469445425, |
|
"eval_loss": 0.32584547996520996, |
|
"eval_runtime": 449.8115, |
|
"eval_samples_per_second": 3.312, |
|
"eval_steps_per_second": 1.656, |
|
"step": 25 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 25, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 2, |
|
"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": 8763358996070400.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|