| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.9592760180995477, | |
| "eval_steps": 500, | |
| "global_step": 165, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.18099547511312217, | |
| "grad_norm": 0.22652482986450195, | |
| "learning_rate": 5e-05, | |
| "loss": 0.4309, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.36199095022624433, | |
| "grad_norm": 0.14215262234210968, | |
| "learning_rate": 4.949476630105669e-05, | |
| "loss": 0.3174, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.5429864253393665, | |
| "grad_norm": 0.11477602273225784, | |
| "learning_rate": 4.799948609147061e-05, | |
| "loss": 0.2812, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.7239819004524887, | |
| "grad_norm": 0.10571786016225815, | |
| "learning_rate": 4.557459664734141e-05, | |
| "loss": 0.2675, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.9049773755656109, | |
| "grad_norm": 0.10327080637216568, | |
| "learning_rate": 4.231810883773999e-05, | |
| "loss": 0.2594, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.0723981900452488, | |
| "grad_norm": 0.11652153730392456, | |
| "learning_rate": 3.8361645653195026e-05, | |
| "loss": 0.2349, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.253393665158371, | |
| "grad_norm": 0.09489592164754868, | |
| "learning_rate": 3.386512217606339e-05, | |
| "loss": 0.1941, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.4343891402714932, | |
| "grad_norm": 0.12396658211946487, | |
| "learning_rate": 2.9010282021444008e-05, | |
| "loss": 0.1889, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.6153846153846154, | |
| "grad_norm": 0.09647022187709808, | |
| "learning_rate": 2.399335149726463e-05, | |
| "loss": 0.185, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.7963800904977374, | |
| "grad_norm": 0.09202118217945099, | |
| "learning_rate": 1.9017108392811065e-05, | |
| "loss": 0.1791, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.9773755656108598, | |
| "grad_norm": 0.08454926311969757, | |
| "learning_rate": 1.4282685964923642e-05, | |
| "loss": 0.1738, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 2.1447963800904977, | |
| "grad_norm": 0.1310415267944336, | |
| "learning_rate": 9.981443394050525e-06, | |
| "loss": 0.1368, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.32579185520362, | |
| "grad_norm": 0.09298953413963318, | |
| "learning_rate": 6.28723129572247e-06, | |
| "loss": 0.1216, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.506787330316742, | |
| "grad_norm": 0.08098515123128891, | |
| "learning_rate": 3.3493649053890326e-06, | |
| "loss": 0.1258, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.6877828054298645, | |
| "grad_norm": 0.08589061349630356, | |
| "learning_rate": 1.286588951321363e-06, | |
| "loss": 0.1204, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.8687782805429864, | |
| "grad_norm": 0.08980952948331833, | |
| "learning_rate": 1.8227814754865068e-07, | |
| "loss": 0.1194, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.9592760180995477, | |
| "step": 165, | |
| "total_flos": 6047450284425216.0, | |
| "train_loss": 0.20585341887040573, | |
| "train_runtime": 94606.623, | |
| "train_samples_per_second": 0.896, | |
| "train_steps_per_second": 0.002 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 165, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 6047450284425216.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |