| { | |
| "best_metric": 0.39622641509433965, | |
| "best_model_checkpoint": "./Validated_Balanced_Raw_Data_model_boost8_outputs/checkpoint-80", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.625, | |
| "grad_norm": 1.026680588722229, | |
| "learning_rate": 2.9541003989089956e-05, | |
| "loss": 1.3729, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.39622641509433965, | |
| "eval_loss": 1.3302552700042725, | |
| "eval_runtime": 1.4024, | |
| "eval_samples_per_second": 151.165, | |
| "eval_steps_per_second": 9.983, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 1.0671523809432983, | |
| "learning_rate": 2.6837107640945904e-05, | |
| "loss": 1.3422, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.875, | |
| "grad_norm": 1.1258270740509033, | |
| "learning_rate": 2.2139210895556104e-05, | |
| "loss": 1.3243, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.38207547169811323, | |
| "eval_loss": 1.3050692081451416, | |
| "eval_runtime": 1.3895, | |
| "eval_samples_per_second": 152.569, | |
| "eval_steps_per_second": 10.075, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 1.1245783567428589, | |
| "learning_rate": 1.623869018208499e-05, | |
| "loss": 1.3093, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.37735849056603776, | |
| "eval_loss": 1.2962387800216675, | |
| "eval_runtime": 1.3825, | |
| "eval_samples_per_second": 153.341, | |
| "eval_steps_per_second": 10.126, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 3.125, | |
| "grad_norm": 0.9223591685295105, | |
| "learning_rate": 1.0129507961929749e-05, | |
| "loss": 1.3138, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "grad_norm": 1.2660913467407227, | |
| "learning_rate": 4.840776425613887e-06, | |
| "loss": 1.2908, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.38207547169811323, | |
| "eval_loss": 1.2940889596939087, | |
| "eval_runtime": 1.3786, | |
| "eval_samples_per_second": 153.781, | |
| "eval_steps_per_second": 10.155, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 4.375, | |
| "grad_norm": 1.12974214553833, | |
| "learning_rate": 1.2634001001741375e-06, | |
| "loss": 1.3193, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.500447392463684, | |
| "learning_rate": 0.0, | |
| "loss": 1.2836, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.37735849056603776, | |
| "eval_loss": 1.2936153411865234, | |
| "eval_runtime": 1.4054, | |
| "eval_samples_per_second": 150.848, | |
| "eval_steps_per_second": 9.962, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "step": 400, | |
| "total_flos": 4.2409746528731136e+17, | |
| "train_loss": 1.319512176513672, | |
| "train_runtime": 85.175, | |
| "train_samples_per_second": 37.335, | |
| "train_steps_per_second": 4.696 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "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": 4.2409746528731136e+17, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |