| { | |
| "best_metric": 0.6963669061660767, | |
| "best_model_checkpoint": "hBERTv2_sst2/checkpoint-2376", | |
| "epoch": 14.0, | |
| "global_step": 3696, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 4.9003787878787885e-05, | |
| "loss": 0.6916, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6998637914657593, | |
| "eval_runtime": 1.0361, | |
| "eval_samples_per_second": 841.637, | |
| "eval_steps_per_second": 3.861, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 4.800378787878788e-05, | |
| "loss": 0.6885, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6977964639663696, | |
| "eval_runtime": 1.037, | |
| "eval_samples_per_second": 840.878, | |
| "eval_steps_per_second": 3.857, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.7003787878787884e-05, | |
| "loss": 0.6871, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.698425829410553, | |
| "eval_runtime": 1.0359, | |
| "eval_samples_per_second": 841.809, | |
| "eval_steps_per_second": 3.862, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.600378787878788e-05, | |
| "loss": 0.6869, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.69902503490448, | |
| "eval_runtime": 1.0372, | |
| "eval_samples_per_second": 840.699, | |
| "eval_steps_per_second": 3.856, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.5003787878787876e-05, | |
| "loss": 0.6868, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6974067091941833, | |
| "eval_runtime": 1.0355, | |
| "eval_samples_per_second": 842.083, | |
| "eval_steps_per_second": 3.863, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4.4003787878787885e-05, | |
| "loss": 0.6869, | |
| "step": 1584 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6980025172233582, | |
| "eval_runtime": 1.0358, | |
| "eval_samples_per_second": 841.851, | |
| "eval_steps_per_second": 3.862, | |
| "step": 1584 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.300378787878788e-05, | |
| "loss": 0.6867, | |
| "step": 1848 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6984168887138367, | |
| "eval_runtime": 1.0568, | |
| "eval_samples_per_second": 825.136, | |
| "eval_steps_per_second": 3.785, | |
| "step": 1848 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.2003787878787884e-05, | |
| "loss": 0.6868, | |
| "step": 2112 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6974700093269348, | |
| "eval_runtime": 1.0448, | |
| "eval_samples_per_second": 834.6, | |
| "eval_steps_per_second": 3.828, | |
| "step": 2112 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.100378787878788e-05, | |
| "loss": 0.6868, | |
| "step": 2376 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6963669061660767, | |
| "eval_runtime": 1.037, | |
| "eval_samples_per_second": 840.85, | |
| "eval_steps_per_second": 3.857, | |
| "step": 2376 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 4.0003787878787876e-05, | |
| "loss": 0.6865, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6977964639663696, | |
| "eval_runtime": 1.0355, | |
| "eval_samples_per_second": 842.138, | |
| "eval_steps_per_second": 3.863, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 3.900378787878788e-05, | |
| "loss": 0.6868, | |
| "step": 2904 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6980271935462952, | |
| "eval_runtime": 1.0325, | |
| "eval_samples_per_second": 844.563, | |
| "eval_steps_per_second": 3.874, | |
| "step": 2904 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 3.800378787878788e-05, | |
| "loss": 0.6865, | |
| "step": 3168 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.700083315372467, | |
| "eval_runtime": 1.0347, | |
| "eval_samples_per_second": 842.747, | |
| "eval_steps_per_second": 3.866, | |
| "step": 3168 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 3.7003787878787885e-05, | |
| "loss": 0.6867, | |
| "step": 3432 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6965734958648682, | |
| "eval_runtime": 1.032, | |
| "eval_samples_per_second": 844.972, | |
| "eval_steps_per_second": 3.876, | |
| "step": 3432 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 3.600378787878788e-05, | |
| "loss": 0.6867, | |
| "step": 3696 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.5091743119266054, | |
| "eval_loss": 0.6980003118515015, | |
| "eval_runtime": 1.0332, | |
| "eval_samples_per_second": 843.945, | |
| "eval_steps_per_second": 3.871, | |
| "step": 3696 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "step": 3696, | |
| "total_flos": 1.1743968521879552e+17, | |
| "train_loss": 0.6872374216715494, | |
| "train_runtime": 3475.6313, | |
| "train_samples_per_second": 968.874, | |
| "train_steps_per_second": 3.798 | |
| } | |
| ], | |
| "max_steps": 13200, | |
| "num_train_epochs": 50, | |
| "total_flos": 1.1743968521879552e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |