| { | |
| "best_metric": 2.0873944759368896, | |
| "best_model_checkpoint": "./RODEO_high_score_ESM_small_batch_size/checkpoint-3592", | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 3592, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 2.248047351837158, | |
| "eval_runtime": 12.285, | |
| "eval_samples_per_second": 73.016, | |
| "eval_steps_per_second": 9.198, | |
| "step": 449 | |
| }, | |
| { | |
| "epoch": 1.1135857461024499, | |
| "grad_norm": 6.097647666931152, | |
| "learning_rate": 4.443207126948775e-05, | |
| "loss": 2.3584, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 2.2442660331726074, | |
| "eval_runtime": 10.565, | |
| "eval_samples_per_second": 84.903, | |
| "eval_steps_per_second": 10.696, | |
| "step": 898 | |
| }, | |
| { | |
| "epoch": 2.2271714922048997, | |
| "grad_norm": 5.934495449066162, | |
| "learning_rate": 3.88641425389755e-05, | |
| "loss": 2.2479, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 2.1917591094970703, | |
| "eval_runtime": 9.3611, | |
| "eval_samples_per_second": 95.822, | |
| "eval_steps_per_second": 12.071, | |
| "step": 1347 | |
| }, | |
| { | |
| "epoch": 3.34075723830735, | |
| "grad_norm": 7.425045490264893, | |
| "learning_rate": 3.329621380846326e-05, | |
| "loss": 2.1834, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 2.124160051345825, | |
| "eval_runtime": 9.2972, | |
| "eval_samples_per_second": 96.481, | |
| "eval_steps_per_second": 12.154, | |
| "step": 1796 | |
| }, | |
| { | |
| "epoch": 4.4543429844097995, | |
| "grad_norm": 7.094584941864014, | |
| "learning_rate": 2.7728285077951005e-05, | |
| "loss": 2.093, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 2.130948305130005, | |
| "eval_runtime": 9.2103, | |
| "eval_samples_per_second": 97.391, | |
| "eval_steps_per_second": 12.269, | |
| "step": 2245 | |
| }, | |
| { | |
| "epoch": 5.567928730512249, | |
| "grad_norm": 9.048039436340332, | |
| "learning_rate": 2.2160356347438754e-05, | |
| "loss": 2.089, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_loss": 2.1099765300750732, | |
| "eval_runtime": 9.269, | |
| "eval_samples_per_second": 96.774, | |
| "eval_steps_per_second": 12.191, | |
| "step": 2694 | |
| }, | |
| { | |
| "epoch": 6.6815144766147, | |
| "grad_norm": 7.844690322875977, | |
| "learning_rate": 1.6592427616926504e-05, | |
| "loss": 2.0499, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_loss": 2.1154024600982666, | |
| "eval_runtime": 9.2634, | |
| "eval_samples_per_second": 96.832, | |
| "eval_steps_per_second": 12.199, | |
| "step": 3143 | |
| }, | |
| { | |
| "epoch": 7.795100222717149, | |
| "grad_norm": 9.89274787902832, | |
| "learning_rate": 1.1024498886414254e-05, | |
| "loss": 2.0416, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 2.0873944759368896, | |
| "eval_runtime": 9.9311, | |
| "eval_samples_per_second": 90.323, | |
| "eval_steps_per_second": 11.378, | |
| "step": 3592 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4490, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 9797263196229504.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |