| { | |
| "best_metric": 1.6784749031066895, | |
| "best_model_checkpoint": "smilemikan/nllb-finetuned-jpn-to-ain-2/checkpoint-12000", | |
| "epoch": 2.6437541308658297, | |
| "eval_steps": 500, | |
| "global_step": 12000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 1.9833333333333335e-05, | |
| "loss": 4.6196, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_loss": 3.7452237606048584, | |
| "eval_runtime": 43.586, | |
| "eval_samples_per_second": 208.278, | |
| "eval_steps_per_second": 13.032, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 1.9666666666666666e-05, | |
| "loss": 3.5915, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_loss": 3.2064383029937744, | |
| "eval_runtime": 43.0726, | |
| "eval_samples_per_second": 210.76, | |
| "eval_steps_per_second": 13.187, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 1.95e-05, | |
| "loss": 3.1484, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_loss": 2.8919074535369873, | |
| "eval_runtime": 42.8255, | |
| "eval_samples_per_second": 211.977, | |
| "eval_steps_per_second": 13.263, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 1.9333333333333333e-05, | |
| "loss": 2.902, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 2.679006338119507, | |
| "eval_runtime": 43.6162, | |
| "eval_samples_per_second": 208.134, | |
| "eval_steps_per_second": 13.023, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 1.916666666666667e-05, | |
| "loss": 2.7296, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "eval_loss": 2.5206823348999023, | |
| "eval_runtime": 42.8291, | |
| "eval_samples_per_second": 211.959, | |
| "eval_steps_per_second": 13.262, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 1.9000333333333335e-05, | |
| "loss": 2.6105, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_loss": 2.394014835357666, | |
| "eval_runtime": 42.8022, | |
| "eval_samples_per_second": 212.092, | |
| "eval_steps_per_second": 13.27, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 1.883366666666667e-05, | |
| "loss": 2.5068, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_loss": 2.30385422706604, | |
| "eval_runtime": 44.6981, | |
| "eval_samples_per_second": 203.096, | |
| "eval_steps_per_second": 12.707, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 1.8667000000000003e-05, | |
| "loss": 2.3848, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_loss": 2.2251899242401123, | |
| "eval_runtime": 42.8042, | |
| "eval_samples_per_second": 212.082, | |
| "eval_steps_per_second": 13.27, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 1.8500333333333337e-05, | |
| "loss": 2.3391, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_loss": 2.148716449737549, | |
| "eval_runtime": 43.0552, | |
| "eval_samples_per_second": 210.845, | |
| "eval_steps_per_second": 13.192, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 1.8334e-05, | |
| "loss": 2.1994, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_loss": 2.091869354248047, | |
| "eval_runtime": 43.5857, | |
| "eval_samples_per_second": 208.279, | |
| "eval_steps_per_second": 13.032, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 1.8167333333333335e-05, | |
| "loss": 2.1446, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "eval_loss": 2.0449471473693848, | |
| "eval_runtime": 43.2545, | |
| "eval_samples_per_second": 209.874, | |
| "eval_steps_per_second": 13.132, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "learning_rate": 1.800066666666667e-05, | |
| "loss": 2.1012, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "eval_loss": 2.0015575885772705, | |
| "eval_runtime": 43.2116, | |
| "eval_samples_per_second": 210.083, | |
| "eval_steps_per_second": 13.145, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 1.7834000000000002e-05, | |
| "loss": 2.0542, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_loss": 1.951575517654419, | |
| "eval_runtime": 43.3919, | |
| "eval_samples_per_second": 209.209, | |
| "eval_steps_per_second": 13.09, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 1.7667333333333333e-05, | |
| "loss": 2.0216, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "eval_loss": 1.9161829948425293, | |
| "eval_runtime": 43.6948, | |
| "eval_samples_per_second": 207.759, | |
| "eval_steps_per_second": 12.999, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 1.7500666666666667e-05, | |
| "loss": 1.9926, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "eval_loss": 1.8790709972381592, | |
| "eval_runtime": 44.1328, | |
| "eval_samples_per_second": 205.698, | |
| "eval_steps_per_second": 12.87, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 1.7334e-05, | |
| "loss": 1.9278, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "eval_loss": 1.845486044883728, | |
| "eval_runtime": 44.2649, | |
| "eval_samples_per_second": 205.084, | |
| "eval_steps_per_second": 12.832, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 1.7167333333333334e-05, | |
| "loss": 1.9305, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "eval_loss": 1.8124595880508423, | |
| "eval_runtime": 43.561, | |
| "eval_samples_per_second": 208.398, | |
| "eval_steps_per_second": 13.039, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "learning_rate": 1.7000666666666668e-05, | |
| "loss": 1.905, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "eval_loss": 1.7888203859329224, | |
| "eval_runtime": 43.4924, | |
| "eval_samples_per_second": 208.726, | |
| "eval_steps_per_second": 13.06, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 1.6834666666666667e-05, | |
| "loss": 1.828, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "eval_loss": 1.7763384580612183, | |
| "eval_runtime": 43.5326, | |
| "eval_samples_per_second": 208.534, | |
| "eval_steps_per_second": 13.048, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 1.6668e-05, | |
| "loss": 1.808, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "eval_loss": 1.7431403398513794, | |
| "eval_runtime": 43.6327, | |
| "eval_samples_per_second": 208.055, | |
| "eval_steps_per_second": 13.018, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 1.6501333333333334e-05, | |
| "loss": 1.7434, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "eval_loss": 1.7204526662826538, | |
| "eval_runtime": 44.0612, | |
| "eval_samples_per_second": 206.032, | |
| "eval_steps_per_second": 12.891, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "learning_rate": 1.6334666666666668e-05, | |
| "loss": 1.7527, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "eval_loss": 1.7068791389465332, | |
| "eval_runtime": 43.4892, | |
| "eval_samples_per_second": 208.741, | |
| "eval_steps_per_second": 13.061, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 1.6168333333333336e-05, | |
| "loss": 1.6977, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "eval_loss": 1.6881217956542969, | |
| "eval_runtime": 43.1769, | |
| "eval_samples_per_second": 210.252, | |
| "eval_steps_per_second": 13.155, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "learning_rate": 1.600166666666667e-05, | |
| "loss": 1.6854, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "eval_loss": 1.6784749031066895, | |
| "eval_runtime": 42.7581, | |
| "eval_samples_per_second": 212.311, | |
| "eval_steps_per_second": 13.284, | |
| "step": 12000 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 60000, | |
| "num_train_epochs": 14, | |
| "save_steps": 500, | |
| "total_flos": 1.2185798482722816e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |