| { | |
| "best_global_step": 1250, | |
| "best_metric": 0.39082855653986454, | |
| "best_model_checkpoint": "./final_model_deberta_weighted/checkpoint-1250", | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 1250, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 2.7260196208953857, | |
| "learning_rate": 2.6329787234042553e-05, | |
| "loss": 0.6738, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 2.201608657836914, | |
| "learning_rate": 4.967397747480736e-05, | |
| "loss": 0.6427, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 1.4532300233840942, | |
| "learning_rate": 4.6710136336692354e-05, | |
| "loss": 0.6344, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 1.2946869134902954, | |
| "learning_rate": 4.374629519857736e-05, | |
| "loss": 0.6146, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 2.2154576778411865, | |
| "learning_rate": 4.078245406046236e-05, | |
| "loss": 0.6375, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 2.464404344558716, | |
| "learning_rate": 3.781861292234736e-05, | |
| "loss": 0.6044, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7808, | |
| "eval_f1_fake": 0.3627906976744186, | |
| "eval_loss": 0.6771467924118042, | |
| "eval_precision_fake": 0.3035019455252918, | |
| "eval_recall_fake": 0.4508670520231214, | |
| "eval_runtime": 7.9328, | |
| "eval_samples_per_second": 630.297, | |
| "eval_steps_per_second": 5.042, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 0.8839420676231384, | |
| "learning_rate": 3.4854771784232364e-05, | |
| "loss": 0.5874, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 1.285341501235962, | |
| "learning_rate": 3.189093064611737e-05, | |
| "loss": 0.5764, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 1.3300535678863525, | |
| "learning_rate": 2.8927089508002375e-05, | |
| "loss": 0.5671, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 1.5840404033660889, | |
| "learning_rate": 2.5963248369887376e-05, | |
| "loss": 0.562, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 1.9565057754516602, | |
| "learning_rate": 2.2999407231772376e-05, | |
| "loss": 0.5649, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 1.3821005821228027, | |
| "learning_rate": 2.003556609365738e-05, | |
| "loss": 0.5596, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7662, | |
| "eval_f1_fake": 0.39082855653986454, | |
| "eval_loss": 0.6207814812660217, | |
| "eval_precision_fake": 0.3056234718826406, | |
| "eval_recall_fake": 0.541907514450867, | |
| "eval_runtime": 7.9513, | |
| "eval_samples_per_second": 628.832, | |
| "eval_steps_per_second": 5.031, | |
| "step": 1250 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 1875, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.1049262196391936e+16, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |