{ "best_metric": 0.536961019039154, "best_model_checkpoint": "data/Mistral-7B_task-2_60-samples_config-2/checkpoint-20", "epoch": 13.91304347826087, "eval_steps": 500, "global_step": 40, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.34782608695652173, "grad_norm": 3.3231360912323, "learning_rate": 1e-05, "loss": 1.023, "step": 1 }, { "epoch": 0.6956521739130435, "grad_norm": 2.4147260189056396, "learning_rate": 2e-05, "loss": 0.9782, "step": 2 }, { "epoch": 0.6956521739130435, "eval_loss": 0.9433401226997375, "eval_runtime": 16.1143, "eval_samples_per_second": 0.745, "eval_steps_per_second": 0.745, "step": 2 }, { "epoch": 1.391304347826087, "grad_norm": 2.1237215995788574, "learning_rate": 4e-05, "loss": 0.9325, "step": 4 }, { "epoch": 1.7391304347826086, "eval_loss": 0.7483310699462891, "eval_runtime": 16.1136, "eval_samples_per_second": 0.745, "eval_steps_per_second": 0.745, "step": 5 }, { "epoch": 2.0869565217391304, "grad_norm": 1.2565068006515503, "learning_rate": 6e-05, "loss": 0.798, "step": 6 }, { "epoch": 2.782608695652174, "grad_norm": 0.6507286429405212, "learning_rate": 8e-05, "loss": 0.657, "step": 8 }, { "epoch": 2.782608695652174, "eval_loss": 0.6179646253585815, "eval_runtime": 16.314, "eval_samples_per_second": 0.736, "eval_steps_per_second": 0.736, "step": 8 }, { "epoch": 3.4782608695652173, "grad_norm": 0.5383930206298828, "learning_rate": 0.0001, "loss": 0.5682, "step": 10 }, { "epoch": 3.8260869565217392, "eval_loss": 0.594241738319397, "eval_runtime": 16.3164, "eval_samples_per_second": 0.735, "eval_steps_per_second": 0.735, "step": 11 }, { "epoch": 4.173913043478261, "grad_norm": 0.5266416072845459, "learning_rate": 9.987820251299122e-05, "loss": 0.5826, "step": 12 }, { "epoch": 4.869565217391305, "grad_norm": 0.4931633472442627, "learning_rate": 9.951340343707852e-05, "loss": 0.5483, "step": 14 }, { "epoch": 4.869565217391305, "eval_loss": 0.5666075348854065, "eval_runtime": 16.3194, "eval_samples_per_second": 0.735, "eval_steps_per_second": 0.735, "step": 14 }, { "epoch": 5.565217391304348, "grad_norm": 0.3791971504688263, "learning_rate": 9.890738003669029e-05, "loss": 0.4875, "step": 16 }, { "epoch": 5.913043478260869, "eval_loss": 0.5440824627876282, "eval_runtime": 16.1338, "eval_samples_per_second": 0.744, "eval_steps_per_second": 0.744, "step": 17 }, { "epoch": 6.260869565217392, "grad_norm": 0.3482791483402252, "learning_rate": 9.806308479691595e-05, "loss": 0.4524, "step": 18 }, { "epoch": 6.956521739130435, "grad_norm": 0.3163185715675354, "learning_rate": 9.698463103929542e-05, "loss": 0.4347, "step": 20 }, { "epoch": 6.956521739130435, "eval_loss": 0.536961019039154, "eval_runtime": 16.1301, "eval_samples_per_second": 0.744, "eval_steps_per_second": 0.744, "step": 20 }, { "epoch": 7.6521739130434785, "grad_norm": 0.3439599573612213, "learning_rate": 9.567727288213005e-05, "loss": 0.3995, "step": 22 }, { "epoch": 8.0, "eval_loss": 0.5380921363830566, "eval_runtime": 16.1144, "eval_samples_per_second": 0.745, "eval_steps_per_second": 0.745, "step": 23 }, { "epoch": 8.347826086956522, "grad_norm": 0.3523787558078766, "learning_rate": 9.414737964294636e-05, "loss": 0.3709, "step": 24 }, { "epoch": 8.695652173913043, "eval_loss": 0.5430774688720703, "eval_runtime": 16.1301, "eval_samples_per_second": 0.744, "eval_steps_per_second": 0.744, "step": 25 }, { "epoch": 9.043478260869565, "grad_norm": 0.4210048019886017, "learning_rate": 9.24024048078213e-05, "loss": 0.3236, "step": 26 }, { "epoch": 9.73913043478261, "grad_norm": 0.4124290943145752, "learning_rate": 9.045084971874738e-05, "loss": 0.2801, "step": 28 }, { "epoch": 9.73913043478261, "eval_loss": 0.5705265998840332, "eval_runtime": 16.2742, "eval_samples_per_second": 0.737, "eval_steps_per_second": 0.737, "step": 28 }, { "epoch": 10.434782608695652, "grad_norm": 0.41128212213516235, "learning_rate": 8.83022221559489e-05, "loss": 0.2582, "step": 30 }, { "epoch": 10.782608695652174, "eval_loss": 0.6300494074821472, "eval_runtime": 16.3217, "eval_samples_per_second": 0.735, "eval_steps_per_second": 0.735, "step": 31 }, { "epoch": 11.130434782608695, "grad_norm": 0.6074411869049072, "learning_rate": 8.596699001693255e-05, "loss": 0.2046, "step": 32 }, { "epoch": 11.826086956521738, "grad_norm": 0.5602520704269409, "learning_rate": 8.345653031794292e-05, "loss": 0.1682, "step": 34 }, { "epoch": 11.826086956521738, "eval_loss": 0.6605353951454163, "eval_runtime": 16.305, "eval_samples_per_second": 0.736, "eval_steps_per_second": 0.736, "step": 34 }, { "epoch": 12.521739130434783, "grad_norm": 0.6049512624740601, "learning_rate": 8.07830737662829e-05, "loss": 0.1192, "step": 36 }, { "epoch": 12.869565217391305, "eval_loss": 0.7692939639091492, "eval_runtime": 16.1886, "eval_samples_per_second": 0.741, "eval_steps_per_second": 0.741, "step": 37 }, { "epoch": 13.217391304347826, "grad_norm": 0.9413750171661377, "learning_rate": 7.795964517353735e-05, "loss": 0.0889, "step": 38 }, { "epoch": 13.91304347826087, "grad_norm": 0.710867702960968, "learning_rate": 7.500000000000001e-05, "loss": 0.0549, "step": 40 }, { "epoch": 13.91304347826087, "eval_loss": 0.8641250729560852, "eval_runtime": 16.1382, "eval_samples_per_second": 0.744, "eval_steps_per_second": 0.744, "step": 40 }, { "epoch": 13.91304347826087, "step": 40, "total_flos": 7.711052122397082e+16, "train_loss": 0.4367667862446979, "train_runtime": 2829.7549, "train_samples_per_second": 0.813, "train_steps_per_second": 0.035 } ], "logging_steps": 2, "max_steps": 100, "num_input_tokens_seen": 0, "num_train_epochs": 50, "save_steps": 25, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 7, "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": 7.711052122397082e+16, "train_batch_size": 1, "trial_name": null, "trial_params": null }