| { | |
| "best_metric": 0.8653401732444763, | |
| "best_model_checkpoint": "data/Mistral-7B_task-3_60-samples_config-2_full_auto/checkpoint-31", | |
| "epoch": 17.73913043478261, | |
| "eval_steps": 500, | |
| "global_step": 51, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.34782608695652173, | |
| "grad_norm": 0.9554396867752075, | |
| "learning_rate": 1e-05, | |
| "loss": 1.2468, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.6956521739130435, | |
| "grad_norm": 0.9398545026779175, | |
| "learning_rate": 2e-05, | |
| "loss": 1.2142, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.6956521739130435, | |
| "eval_loss": 1.2086182832717896, | |
| "eval_runtime": 13.9404, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.391304347826087, | |
| "grad_norm": 0.824161946773529, | |
| "learning_rate": 4e-05, | |
| "loss": 1.2072, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.7391304347826086, | |
| "eval_loss": 1.1264773607254028, | |
| "eval_runtime": 13.9408, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 2.0869565217391304, | |
| "grad_norm": 0.5290440320968628, | |
| "learning_rate": 6e-05, | |
| "loss": 1.1638, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 2.782608695652174, | |
| "grad_norm": 0.39439627528190613, | |
| "learning_rate": 8e-05, | |
| "loss": 1.0872, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.782608695652174, | |
| "eval_loss": 1.0535776615142822, | |
| "eval_runtime": 13.9384, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 3.4782608695652173, | |
| "grad_norm": 0.38090240955352783, | |
| "learning_rate": 0.0001, | |
| "loss": 1.0158, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 3.8260869565217392, | |
| "eval_loss": 0.9948161244392395, | |
| "eval_runtime": 13.9429, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 4.173913043478261, | |
| "grad_norm": 0.38717082142829895, | |
| "learning_rate": 9.987820251299122e-05, | |
| "loss": 1.0022, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 4.869565217391305, | |
| "grad_norm": 0.5468046069145203, | |
| "learning_rate": 9.951340343707852e-05, | |
| "loss": 0.9378, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 4.869565217391305, | |
| "eval_loss": 0.9304003715515137, | |
| "eval_runtime": 13.9403, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 5.565217391304348, | |
| "grad_norm": 0.2843795418739319, | |
| "learning_rate": 9.890738003669029e-05, | |
| "loss": 0.8785, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 5.913043478260869, | |
| "eval_loss": 0.8948807120323181, | |
| "eval_runtime": 13.9373, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 6.260869565217392, | |
| "grad_norm": 0.2556290030479431, | |
| "learning_rate": 9.806308479691595e-05, | |
| "loss": 0.8462, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 6.956521739130435, | |
| "grad_norm": 0.19840207695960999, | |
| "learning_rate": 9.698463103929542e-05, | |
| "loss": 0.8173, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 6.956521739130435, | |
| "eval_loss": 0.879335343837738, | |
| "eval_runtime": 13.9371, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 7.6521739130434785, | |
| "grad_norm": 0.18154288828372955, | |
| "learning_rate": 9.567727288213005e-05, | |
| "loss": 0.8163, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.8702660202980042, | |
| "eval_runtime": 13.9391, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 8.347826086956522, | |
| "grad_norm": 0.17678385972976685, | |
| "learning_rate": 9.414737964294636e-05, | |
| "loss": 0.7922, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 8.695652173913043, | |
| "eval_loss": 0.8672122955322266, | |
| "eval_runtime": 13.9382, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 9.043478260869565, | |
| "grad_norm": 0.18471793830394745, | |
| "learning_rate": 9.24024048078213e-05, | |
| "loss": 0.7716, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 9.73913043478261, | |
| "grad_norm": 0.21089470386505127, | |
| "learning_rate": 9.045084971874738e-05, | |
| "loss": 0.7598, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 9.73913043478261, | |
| "eval_loss": 0.8668568730354309, | |
| "eval_runtime": 13.9503, | |
| "eval_samples_per_second": 0.86, | |
| "eval_steps_per_second": 0.86, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 10.434782608695652, | |
| "grad_norm": 0.19992633163928986, | |
| "learning_rate": 8.83022221559489e-05, | |
| "loss": 0.7519, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 10.782608695652174, | |
| "eval_loss": 0.8653401732444763, | |
| "eval_runtime": 13.9411, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 11.130434782608695, | |
| "grad_norm": 0.2341090738773346, | |
| "learning_rate": 8.596699001693255e-05, | |
| "loss": 0.703, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 11.826086956521738, | |
| "grad_norm": 0.22710266709327698, | |
| "learning_rate": 8.345653031794292e-05, | |
| "loss": 0.7182, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 11.826086956521738, | |
| "eval_loss": 0.8702945113182068, | |
| "eval_runtime": 13.9386, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 12.521739130434783, | |
| "grad_norm": 0.24020184576511383, | |
| "learning_rate": 8.07830737662829e-05, | |
| "loss": 0.6734, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 12.869565217391305, | |
| "eval_loss": 0.8749791979789734, | |
| "eval_runtime": 13.9424, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 13.217391304347826, | |
| "grad_norm": 0.29616954922676086, | |
| "learning_rate": 7.795964517353735e-05, | |
| "loss": 0.6722, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 13.91304347826087, | |
| "grad_norm": 0.2673910856246948, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.6525, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 13.91304347826087, | |
| "eval_loss": 0.8916842341423035, | |
| "eval_runtime": 13.9404, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 14.608695652173914, | |
| "grad_norm": 0.3332022428512573, | |
| "learning_rate": 7.191855733945387e-05, | |
| "loss": 0.6044, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 14.956521739130435, | |
| "eval_loss": 0.8961283564567566, | |
| "eval_runtime": 13.9377, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 15.304347826086957, | |
| "grad_norm": 0.3555317223072052, | |
| "learning_rate": 6.873032967079561e-05, | |
| "loss": 0.5988, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 0.5534977912902832, | |
| "learning_rate": 6.545084971874738e-05, | |
| "loss": 0.5698, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_loss": 0.922257125377655, | |
| "eval_runtime": 13.9365, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 16.695652173913043, | |
| "grad_norm": 0.5275772213935852, | |
| "learning_rate": 6.209609477998338e-05, | |
| "loss": 0.5067, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 16.695652173913043, | |
| "eval_loss": 0.9410943388938904, | |
| "eval_runtime": 13.937, | |
| "eval_samples_per_second": 0.861, | |
| "eval_steps_per_second": 0.861, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 17.391304347826086, | |
| "grad_norm": 0.4959109127521515, | |
| "learning_rate": 5.868240888334653e-05, | |
| "loss": 0.51, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 17.73913043478261, | |
| "eval_loss": 0.9558847546577454, | |
| "eval_runtime": 13.954, | |
| "eval_samples_per_second": 0.86, | |
| "eval_steps_per_second": 0.86, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 17.73913043478261, | |
| "step": 51, | |
| "total_flos": 8.237884169099674e+16, | |
| "train_loss": 0.8130270990670896, | |
| "train_runtime": 3067.7429, | |
| "train_samples_per_second": 0.75, | |
| "train_steps_per_second": 0.033 | |
| } | |
| ], | |
| "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": 8.237884169099674e+16, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |