| { | |
| "best_metric": 0.36268436908721924, | |
| "best_model_checkpoint": "./ttm_finetuned_models_moderna/output/checkpoint-34", | |
| "epoch": 17.0, | |
| "eval_steps": 500, | |
| "global_step": 34, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 4.056020736694336, | |
| "learning_rate": 1.8667028184439364e-05, | |
| "loss": 1.0024, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.4427066445350647, | |
| "eval_runtime": 0.3723, | |
| "eval_samples_per_second": 185.339, | |
| "eval_steps_per_second": 2.686, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 2.923017740249634, | |
| "learning_rate": 1.8968955754218564e-05, | |
| "loss": 0.9065, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.40708231925964355, | |
| "eval_runtime": 0.361, | |
| "eval_samples_per_second": 191.131, | |
| "eval_steps_per_second": 2.77, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.819862723350525, | |
| "learning_rate": 1.9471865185452704e-05, | |
| "loss": 0.8237, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.393745094537735, | |
| "eval_runtime": 0.3519, | |
| "eval_samples_per_second": 196.077, | |
| "eval_steps_per_second": 2.842, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 1.4791889190673828, | |
| "learning_rate": 2.017530198824305e-05, | |
| "loss": 0.7897, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.38901111483573914, | |
| "eval_runtime": 0.3611, | |
| "eval_samples_per_second": 191.097, | |
| "eval_steps_per_second": 2.77, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.0808687210083008, | |
| "learning_rate": 2.1078630451860426e-05, | |
| "loss": 0.7637, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 0.3875712752342224, | |
| "eval_runtime": 0.3339, | |
| "eval_samples_per_second": 206.657, | |
| "eval_steps_per_second": 2.995, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.7717658877372742, | |
| "learning_rate": 2.2181034219250504e-05, | |
| "loss": 0.761, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_loss": 0.38537338376045227, | |
| "eval_runtime": 0.3572, | |
| "eval_samples_per_second": 193.195, | |
| "eval_steps_per_second": 2.8, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 0.70772784948349, | |
| "learning_rate": 2.3481517024792826e-05, | |
| "loss": 0.7687, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_loss": 0.3826580345630646, | |
| "eval_runtime": 0.3504, | |
| "eval_samples_per_second": 196.904, | |
| "eval_steps_per_second": 2.854, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.8968775272369385, | |
| "learning_rate": 2.4978903594647175e-05, | |
| "loss": 0.7411, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.37533628940582275, | |
| "eval_runtime": 0.359, | |
| "eval_samples_per_second": 192.223, | |
| "eval_steps_per_second": 2.786, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 0.8349848389625549, | |
| "learning_rate": 2.6671840708873478e-05, | |
| "loss": 0.7507, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_loss": 0.3686024844646454, | |
| "eval_runtime": 0.359, | |
| "eval_samples_per_second": 192.224, | |
| "eval_steps_per_second": 2.786, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 0.8916922807693481, | |
| "learning_rate": 2.8558798424365177e-05, | |
| "loss": 0.7418, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_loss": 0.36738961935043335, | |
| "eval_runtime": 0.7302, | |
| "eval_samples_per_second": 94.489, | |
| "eval_steps_per_second": 1.369, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "grad_norm": 0.632808268070221, | |
| "learning_rate": 3.0638071457491495e-05, | |
| "loss": 0.7092, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_loss": 0.3688909411430359, | |
| "eval_runtime": 0.3526, | |
| "eval_samples_per_second": 195.693, | |
| "eval_steps_per_second": 2.836, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "grad_norm": 0.6958911418914795, | |
| "learning_rate": 3.290778072519786e-05, | |
| "loss": 0.7476, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_loss": 0.3743250370025635, | |
| "eval_runtime": 0.3634, | |
| "eval_samples_per_second": 189.876, | |
| "eval_steps_per_second": 2.752, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "grad_norm": 0.8087581992149353, | |
| "learning_rate": 3.5365875043173484e-05, | |
| "loss": 0.7315, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_loss": 0.375684916973114, | |
| "eval_runtime": 0.3555, | |
| "eval_samples_per_second": 194.088, | |
| "eval_steps_per_second": 2.813, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "grad_norm": 0.8785252571105957, | |
| "learning_rate": 3.801013297955e-05, | |
| "loss": 0.7262, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_loss": 0.3696945905685425, | |
| "eval_runtime": 0.3621, | |
| "eval_samples_per_second": 190.574, | |
| "eval_steps_per_second": 2.762, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "grad_norm": 0.671592652797699, | |
| "learning_rate": 4.083816486245606e-05, | |
| "loss": 0.7121, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_loss": 0.3645818829536438, | |
| "eval_runtime": 0.3601, | |
| "eval_samples_per_second": 191.597, | |
| "eval_steps_per_second": 2.777, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 0.6458890438079834, | |
| "learning_rate": 4.3847414939614856e-05, | |
| "loss": 0.737, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_loss": 0.36310243606567383, | |
| "eval_runtime": 0.35, | |
| "eval_samples_per_second": 197.168, | |
| "eval_steps_per_second": 2.858, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "grad_norm": 0.4557172954082489, | |
| "learning_rate": 4.703516368803146e-05, | |
| "loss": 0.707, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_loss": 0.36268436908721924, | |
| "eval_runtime": 0.3494, | |
| "eval_samples_per_second": 197.489, | |
| "eval_steps_per_second": 2.862, | |
| "step": 34 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 10, | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 9002664340200.0, | |
| "train_batch_size": 288, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |