| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 31.020408163265305, | |
| "eval_steps": 20, | |
| "global_step": 380, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 2.9999999999999997e-05, | |
| "loss": 1.7509, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 5.9999999999999995e-05, | |
| "loss": 1.6967, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_loss": 1.6115258932113647, | |
| "eval_runtime": 30.6688, | |
| "eval_samples_per_second": 12.619, | |
| "eval_steps_per_second": 1.598, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "learning_rate": 8.999999999999999e-05, | |
| "loss": 1.5138, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "learning_rate": 0.00011999999999999999, | |
| "loss": 1.0417, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "eval_loss": 0.5990618467330933, | |
| "eval_runtime": 45.282, | |
| "eval_samples_per_second": 8.546, | |
| "eval_steps_per_second": 1.082, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "learning_rate": 0.00015, | |
| "loss": 0.4159, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "learning_rate": 0.00017999999999999998, | |
| "loss": 0.3112, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "eval_loss": 0.277026891708374, | |
| "eval_runtime": 30.7302, | |
| "eval_samples_per_second": 12.593, | |
| "eval_steps_per_second": 1.595, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 0.00020999999999999998, | |
| "loss": 0.285, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "learning_rate": 0.00023999999999999998, | |
| "loss": 0.27, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "eval_loss": 0.24872899055480957, | |
| "eval_runtime": 30.6498, | |
| "eval_samples_per_second": 12.627, | |
| "eval_steps_per_second": 1.599, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 7.35, | |
| "learning_rate": 0.00027, | |
| "loss": 0.2464, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "learning_rate": 0.0003, | |
| "loss": 0.2276, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "eval_loss": 0.22304466366767883, | |
| "eval_runtime": 30.6362, | |
| "eval_samples_per_second": 12.632, | |
| "eval_steps_per_second": 1.599, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 8.98, | |
| "learning_rate": 0.00029, | |
| "loss": 0.1993, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 9.8, | |
| "learning_rate": 0.00028, | |
| "loss": 0.1747, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 9.8, | |
| "eval_loss": 0.20949400961399078, | |
| "eval_runtime": 30.5837, | |
| "eval_samples_per_second": 12.654, | |
| "eval_steps_per_second": 1.602, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 10.61, | |
| "learning_rate": 0.00027, | |
| "loss": 0.1408, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 11.43, | |
| "learning_rate": 0.00026, | |
| "loss": 0.1131, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 11.43, | |
| "eval_loss": 0.20713694393634796, | |
| "eval_runtime": 30.5887, | |
| "eval_samples_per_second": 12.652, | |
| "eval_steps_per_second": 1.602, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 12.24, | |
| "learning_rate": 0.00025, | |
| "loss": 0.0839, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 13.06, | |
| "learning_rate": 0.00023999999999999998, | |
| "loss": 0.0644, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 13.06, | |
| "eval_loss": 0.2342994511127472, | |
| "eval_runtime": 30.5213, | |
| "eval_samples_per_second": 12.68, | |
| "eval_steps_per_second": 1.605, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 13.88, | |
| "learning_rate": 0.00023, | |
| "loss": 0.0466, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 14.69, | |
| "learning_rate": 0.00021999999999999995, | |
| "loss": 0.0365, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 14.69, | |
| "eval_loss": 0.263688862323761, | |
| "eval_runtime": 30.5969, | |
| "eval_samples_per_second": 12.648, | |
| "eval_steps_per_second": 1.601, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 15.51, | |
| "learning_rate": 0.00020999999999999998, | |
| "loss": 0.029, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 16.33, | |
| "learning_rate": 0.00019999999999999998, | |
| "loss": 0.0244, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 16.33, | |
| "eval_loss": 0.28023940324783325, | |
| "eval_runtime": 30.5334, | |
| "eval_samples_per_second": 12.675, | |
| "eval_steps_per_second": 1.605, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 17.14, | |
| "learning_rate": 0.00018999999999999998, | |
| "loss": 0.0208, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 17.96, | |
| "learning_rate": 0.00017999999999999998, | |
| "loss": 0.0186, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 17.96, | |
| "eval_loss": 0.30082279443740845, | |
| "eval_runtime": 30.6266, | |
| "eval_samples_per_second": 12.636, | |
| "eval_steps_per_second": 1.6, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 18.78, | |
| "learning_rate": 0.00016999999999999999, | |
| "loss": 0.0174, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 19.59, | |
| "learning_rate": 0.00015999999999999999, | |
| "loss": 0.0161, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 19.59, | |
| "eval_loss": 0.3072655200958252, | |
| "eval_runtime": 30.5563, | |
| "eval_samples_per_second": 12.665, | |
| "eval_steps_per_second": 1.604, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 20.41, | |
| "learning_rate": 0.00015, | |
| "loss": 0.0153, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 21.22, | |
| "learning_rate": 0.00014, | |
| "loss": 0.0147, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 21.22, | |
| "eval_loss": 0.32090628147125244, | |
| "eval_runtime": 30.6058, | |
| "eval_samples_per_second": 12.645, | |
| "eval_steps_per_second": 1.601, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 22.04, | |
| "learning_rate": 0.00013, | |
| "loss": 0.0145, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 22.86, | |
| "learning_rate": 0.00011999999999999999, | |
| "loss": 0.0139, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 22.86, | |
| "eval_loss": 0.32418766617774963, | |
| "eval_runtime": 30.6034, | |
| "eval_samples_per_second": 12.646, | |
| "eval_steps_per_second": 1.601, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 23.67, | |
| "learning_rate": 0.00010999999999999998, | |
| "loss": 0.0138, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 24.49, | |
| "learning_rate": 9.999999999999999e-05, | |
| "loss": 0.0135, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 24.49, | |
| "eval_loss": 0.33807095885276794, | |
| "eval_runtime": 30.7038, | |
| "eval_samples_per_second": 12.604, | |
| "eval_steps_per_second": 1.596, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 25.31, | |
| "learning_rate": 8.999999999999999e-05, | |
| "loss": 0.0134, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 26.12, | |
| "learning_rate": 7.999999999999999e-05, | |
| "loss": 0.0133, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 26.12, | |
| "eval_loss": 0.33249062299728394, | |
| "eval_runtime": 30.6095, | |
| "eval_samples_per_second": 12.643, | |
| "eval_steps_per_second": 1.601, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 26.94, | |
| "learning_rate": 7e-05, | |
| "loss": 0.0131, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 27.76, | |
| "learning_rate": 5.9999999999999995e-05, | |
| "loss": 0.0131, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 27.76, | |
| "eval_loss": 0.3382267951965332, | |
| "eval_runtime": 30.6161, | |
| "eval_samples_per_second": 12.64, | |
| "eval_steps_per_second": 1.6, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 28.57, | |
| "learning_rate": 4.9999999999999996e-05, | |
| "loss": 0.0128, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 29.39, | |
| "learning_rate": 3.9999999999999996e-05, | |
| "loss": 0.0127, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 29.39, | |
| "eval_loss": 0.3383706212043762, | |
| "eval_runtime": 30.6092, | |
| "eval_samples_per_second": 12.643, | |
| "eval_steps_per_second": 1.601, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 30.2, | |
| "learning_rate": 2.9999999999999997e-05, | |
| "loss": 0.0126, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 31.02, | |
| "learning_rate": 1.9999999999999998e-05, | |
| "loss": 0.0126, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 31.02, | |
| "eval_loss": 0.344478040933609, | |
| "eval_runtime": 30.6226, | |
| "eval_samples_per_second": 12.638, | |
| "eval_steps_per_second": 1.6, | |
| "step": 380 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 34, | |
| "save_steps": 20, | |
| "total_flos": 9.671507113326674e+17, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |