| { | |
| "best_metric": 0.7072979807853699, | |
| "best_model_checkpoint": "sa_BERT_48_mnli/checkpoint-16364", | |
| "epoch": 9.0, | |
| "global_step": 36819, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 3.9200000000000004e-05, | |
| "loss": 0.9145, | |
| "step": 4091 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6535914416709119, | |
| "eval_loss": 0.8005583882331848, | |
| "eval_runtime": 20.7416, | |
| "eval_samples_per_second": 473.203, | |
| "eval_steps_per_second": 4.966, | |
| "step": 4091 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 3.8400000000000005e-05, | |
| "loss": 0.7442, | |
| "step": 8182 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6902699949057565, | |
| "eval_loss": 0.7245084047317505, | |
| "eval_runtime": 20.6753, | |
| "eval_samples_per_second": 474.721, | |
| "eval_steps_per_second": 4.982, | |
| "step": 8182 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 3.76e-05, | |
| "loss": 0.6631, | |
| "step": 12273 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6979113601630158, | |
| "eval_loss": 0.7323198914527893, | |
| "eval_runtime": 20.6762, | |
| "eval_samples_per_second": 474.702, | |
| "eval_steps_per_second": 4.982, | |
| "step": 12273 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 3.680000000000001e-05, | |
| "loss": 0.5942, | |
| "step": 16364 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7075904228222109, | |
| "eval_loss": 0.7072979807853699, | |
| "eval_runtime": 20.589, | |
| "eval_samples_per_second": 476.712, | |
| "eval_steps_per_second": 5.003, | |
| "step": 16364 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 3.6e-05, | |
| "loss": 0.5241, | |
| "step": 20455 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7015792154865003, | |
| "eval_loss": 0.7474916577339172, | |
| "eval_runtime": 20.6918, | |
| "eval_samples_per_second": 474.342, | |
| "eval_steps_per_second": 4.978, | |
| "step": 20455 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 3.52e-05, | |
| "loss": 0.4526, | |
| "step": 24546 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7088130412633724, | |
| "eval_loss": 0.8377429842948914, | |
| "eval_runtime": 20.7171, | |
| "eval_samples_per_second": 473.764, | |
| "eval_steps_per_second": 4.972, | |
| "step": 24546 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 3.44e-05, | |
| "loss": 0.3842, | |
| "step": 28637 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6955680081507896, | |
| "eval_loss": 0.8736042380332947, | |
| "eval_runtime": 20.7409, | |
| "eval_samples_per_second": 473.219, | |
| "eval_steps_per_second": 4.966, | |
| "step": 28637 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 3.3600000000000004e-05, | |
| "loss": 0.3213, | |
| "step": 32728 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6945491594498217, | |
| "eval_loss": 0.9334085583686829, | |
| "eval_runtime": 20.6303, | |
| "eval_samples_per_second": 475.756, | |
| "eval_steps_per_second": 4.993, | |
| "step": 32728 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 3.28e-05, | |
| "loss": 0.2669, | |
| "step": 36819 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7026999490575649, | |
| "eval_loss": 1.0196205377578735, | |
| "eval_runtime": 20.722, | |
| "eval_samples_per_second": 473.652, | |
| "eval_steps_per_second": 4.971, | |
| "step": 36819 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "step": 36819, | |
| "total_flos": 4.6496322950057165e+17, | |
| "train_loss": 0.5405747011563323, | |
| "train_runtime": 22664.7689, | |
| "train_samples_per_second": 866.327, | |
| "train_steps_per_second": 9.025 | |
| } | |
| ], | |
| "max_steps": 204550, | |
| "num_train_epochs": 50, | |
| "total_flos": 4.6496322950057165e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |