| { | |
| "best_metric": 0.887685239315033, | |
| "best_model_checkpoint": "outputs/checkpoint-185", | |
| "epoch": 10.99055330634278, | |
| "eval_steps": 500, | |
| "global_step": 509, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.4318488529014845, | |
| "grad_norm": 0.5924658179283142, | |
| "learning_rate": 4e-05, | |
| "loss": 1.9539, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.863697705802969, | |
| "grad_norm": 0.495579332113266, | |
| "learning_rate": 8e-05, | |
| "loss": 1.8186, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.9932523616734144, | |
| "eval_loss": 1.5013270378112793, | |
| "eval_runtime": 13.4628, | |
| "eval_samples_per_second": 27.632, | |
| "eval_steps_per_second": 3.491, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.2955465587044535, | |
| "grad_norm": 0.6942113041877747, | |
| "learning_rate": 0.00012, | |
| "loss": 1.6882, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.7273954116059378, | |
| "grad_norm": 0.8643310070037842, | |
| "learning_rate": 0.00016, | |
| "loss": 1.4623, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.9865047233468287, | |
| "eval_loss": 1.1028813123703003, | |
| "eval_runtime": 13.4743, | |
| "eval_samples_per_second": 27.608, | |
| "eval_steps_per_second": 3.488, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.1592442645074224, | |
| "grad_norm": 1.187238097190857, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3448, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.591093117408907, | |
| "grad_norm": 1.2552473545074463, | |
| "learning_rate": 0.00019943348002101371, | |
| "loss": 1.1681, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.979757085020243, | |
| "eval_loss": 0.9362145066261292, | |
| "eval_runtime": 13.4657, | |
| "eval_samples_per_second": 27.626, | |
| "eval_steps_per_second": 3.49, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 3.0229419703103915, | |
| "grad_norm": 1.0589548349380493, | |
| "learning_rate": 0.00019774033898178667, | |
| "loss": 1.1426, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 3.454790823211876, | |
| "grad_norm": 1.1629831790924072, | |
| "learning_rate": 0.00019493976084683813, | |
| "loss": 0.9296, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.8866396761133606, | |
| "grad_norm": 0.9937772154808044, | |
| "learning_rate": 0.00019106347728549135, | |
| "loss": 0.9304, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 3.9946018893387314, | |
| "eval_loss": 0.887685239315033, | |
| "eval_runtime": 13.4691, | |
| "eval_samples_per_second": 27.619, | |
| "eval_steps_per_second": 3.489, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 4.318488529014845, | |
| "grad_norm": 1.299687385559082, | |
| "learning_rate": 0.0001861554081393806, | |
| "loss": 0.7665, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.75033738191633, | |
| "grad_norm": 1.375931978225708, | |
| "learning_rate": 0.00018027116379309638, | |
| "loss": 0.7884, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 4.987854251012146, | |
| "eval_loss": 0.8908663392066956, | |
| "eval_runtime": 13.466, | |
| "eval_samples_per_second": 27.625, | |
| "eval_steps_per_second": 3.49, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 5.182186234817814, | |
| "grad_norm": 1.134634256362915, | |
| "learning_rate": 0.00017347741508630672, | |
| "loss": 0.7193, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 5.614035087719298, | |
| "grad_norm": 1.0707848072052002, | |
| "learning_rate": 0.00016585113790650388, | |
| "loss": 0.6113, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 5.98110661268556, | |
| "eval_loss": 0.9561511874198914, | |
| "eval_runtime": 13.4701, | |
| "eval_samples_per_second": 27.617, | |
| "eval_steps_per_second": 3.489, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 6.045883940620783, | |
| "grad_norm": 0.8976731300354004, | |
| "learning_rate": 0.0001574787410214407, | |
| "loss": 0.5777, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 6.477732793522267, | |
| "grad_norm": 1.1106950044631958, | |
| "learning_rate": 0.00014845508703326504, | |
| "loss": 0.4493, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 6.909581646423752, | |
| "grad_norm": 1.1484525203704834, | |
| "learning_rate": 0.00013888241754733208, | |
| "loss": 0.503, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 6.995951417004049, | |
| "eval_loss": 1.0866990089416504, | |
| "eval_runtime": 13.4618, | |
| "eval_samples_per_second": 27.634, | |
| "eval_steps_per_second": 3.491, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 7.341430499325236, | |
| "grad_norm": 1.0823029279708862, | |
| "learning_rate": 0.0001288691947339621, | |
| "loss": 0.3874, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 7.77327935222672, | |
| "grad_norm": 1.199161410331726, | |
| "learning_rate": 0.00011852887240871145, | |
| "loss": 0.4033, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 7.989203778677463, | |
| "eval_loss": 1.1609514951705933, | |
| "eval_runtime": 13.4575, | |
| "eval_samples_per_second": 27.643, | |
| "eval_steps_per_second": 3.492, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 8.205128205128204, | |
| "grad_norm": 1.689239263534546, | |
| "learning_rate": 0.00010797861055530831, | |
| "loss": 0.3307, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 8.63697705802969, | |
| "grad_norm": 1.1823320388793945, | |
| "learning_rate": 9.733794785622253e-05, | |
| "loss": 0.2835, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 8.982456140350877, | |
| "eval_loss": 1.2469967603683472, | |
| "eval_runtime": 13.507, | |
| "eval_samples_per_second": 27.541, | |
| "eval_steps_per_second": 3.48, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 9.068825910931174, | |
| "grad_norm": 0.8874559998512268, | |
| "learning_rate": 8.672744727162781e-05, | |
| "loss": 0.2876, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 9.50067476383266, | |
| "grad_norm": 1.01341712474823, | |
| "learning_rate": 7.626733001288851e-05, | |
| "loss": 0.2161, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 9.932523616734143, | |
| "grad_norm": 0.9801278710365295, | |
| "learning_rate": 6.607611338819697e-05, | |
| "loss": 0.2191, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 9.997300944669366, | |
| "eval_loss": 1.3673460483551025, | |
| "eval_runtime": 13.4884, | |
| "eval_samples_per_second": 27.579, | |
| "eval_steps_per_second": 3.484, | |
| "step": 463 | |
| }, | |
| { | |
| "epoch": 10.364372469635628, | |
| "grad_norm": 0.9759404063224792, | |
| "learning_rate": 5.626926795411447e-05, | |
| "loss": 0.1568, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 10.796221322537113, | |
| "grad_norm": 1.0447685718536377, | |
| "learning_rate": 4.695790918802576e-05, | |
| "loss": 0.1527, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 10.99055330634278, | |
| "eval_loss": 1.4647294282913208, | |
| "eval_runtime": 13.4915, | |
| "eval_samples_per_second": 27.573, | |
| "eval_steps_per_second": 3.484, | |
| "step": 509 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 690, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 15, | |
| "save_steps": 500, | |
| "total_flos": 3.921061227431117e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |