| { | |
| "best_metric": 0.9241104125976562, | |
| "best_model_checkpoint": "outputs/checkpoint-231", | |
| "epoch": 11.983805668016194, | |
| "eval_steps": 500, | |
| "global_step": 555, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.4318488529014845, | |
| "grad_norm": 1.787990689277649, | |
| "learning_rate": 4e-05, | |
| "loss": 2.7228, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.863697705802969, | |
| "grad_norm": 0.5038349032402039, | |
| "learning_rate": 8e-05, | |
| "loss": 2.062, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.9932523616734144, | |
| "eval_loss": 1.6799557209014893, | |
| "eval_runtime": 11.9387, | |
| "eval_samples_per_second": 31.159, | |
| "eval_steps_per_second": 3.937, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.2955465587044535, | |
| "grad_norm": 0.6116560697555542, | |
| "learning_rate": 0.00012, | |
| "loss": 1.8813, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.7273954116059378, | |
| "grad_norm": 0.8396438360214233, | |
| "learning_rate": 0.00016, | |
| "loss": 1.6421, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.9865047233468287, | |
| "eval_loss": 1.2483179569244385, | |
| "eval_runtime": 11.921, | |
| "eval_samples_per_second": 31.205, | |
| "eval_steps_per_second": 3.943, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.1592442645074224, | |
| "grad_norm": 1.1572123765945435, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5211, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.591093117408907, | |
| "grad_norm": 1.1013579368591309, | |
| "learning_rate": 0.00019943348002101371, | |
| "loss": 1.327, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.979757085020243, | |
| "eval_loss": 1.0307273864746094, | |
| "eval_runtime": 11.9077, | |
| "eval_samples_per_second": 31.24, | |
| "eval_steps_per_second": 3.947, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 3.0229419703103915, | |
| "grad_norm": 1.080468773841858, | |
| "learning_rate": 0.00019774033898178667, | |
| "loss": 1.2809, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 3.454790823211876, | |
| "grad_norm": 1.2337204217910767, | |
| "learning_rate": 0.00019493976084683813, | |
| "loss": 1.0656, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.8866396761133606, | |
| "grad_norm": 1.1269233226776123, | |
| "learning_rate": 0.00019106347728549135, | |
| "loss": 1.0563, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 3.9946018893387314, | |
| "eval_loss": 0.9378284215927124, | |
| "eval_runtime": 11.9305, | |
| "eval_samples_per_second": 31.181, | |
| "eval_steps_per_second": 3.939, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 4.318488529014845, | |
| "grad_norm": 1.3905510902404785, | |
| "learning_rate": 0.0001861554081393806, | |
| "loss": 0.8855, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.75033738191633, | |
| "grad_norm": 1.3569377660751343, | |
| "learning_rate": 0.00018027116379309638, | |
| "loss": 0.9061, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 4.987854251012146, | |
| "eval_loss": 0.9241104125976562, | |
| "eval_runtime": 11.9189, | |
| "eval_samples_per_second": 31.211, | |
| "eval_steps_per_second": 3.943, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 5.182186234817814, | |
| "grad_norm": 1.3102238178253174, | |
| "learning_rate": 0.00017347741508630672, | |
| "loss": 0.8228, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 5.614035087719298, | |
| "grad_norm": 1.1156977415084839, | |
| "learning_rate": 0.00016585113790650388, | |
| "loss": 0.711, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 5.98110661268556, | |
| "eval_loss": 0.9796295762062073, | |
| "eval_runtime": 11.9256, | |
| "eval_samples_per_second": 31.194, | |
| "eval_steps_per_second": 3.941, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 6.045883940620783, | |
| "grad_norm": 0.9861016869544983, | |
| "learning_rate": 0.0001574787410214407, | |
| "loss": 0.6591, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 6.477732793522267, | |
| "grad_norm": 1.1385196447372437, | |
| "learning_rate": 0.00014845508703326504, | |
| "loss": 0.5255, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 6.909581646423752, | |
| "grad_norm": 1.0708714723587036, | |
| "learning_rate": 0.00013888241754733208, | |
| "loss": 0.5846, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 6.995951417004049, | |
| "eval_loss": 1.0800774097442627, | |
| "eval_runtime": 11.9183, | |
| "eval_samples_per_second": 31.212, | |
| "eval_steps_per_second": 3.944, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 7.341430499325236, | |
| "grad_norm": 1.0299906730651855, | |
| "learning_rate": 0.0001288691947339621, | |
| "loss": 0.4571, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 7.77327935222672, | |
| "grad_norm": 1.1635417938232422, | |
| "learning_rate": 0.00011852887240871145, | |
| "loss": 0.465, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 7.989203778677463, | |
| "eval_loss": 1.1291037797927856, | |
| "eval_runtime": 11.9151, | |
| "eval_samples_per_second": 31.221, | |
| "eval_steps_per_second": 3.945, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 8.205128205128204, | |
| "grad_norm": 0.9930064082145691, | |
| "learning_rate": 0.00010797861055530831, | |
| "loss": 0.3898, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 8.63697705802969, | |
| "grad_norm": 1.086180329322815, | |
| "learning_rate": 9.733794785622253e-05, | |
| "loss": 0.341, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 8.982456140350877, | |
| "eval_loss": 1.2221601009368896, | |
| "eval_runtime": 11.9463, | |
| "eval_samples_per_second": 31.139, | |
| "eval_steps_per_second": 3.934, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 9.068825910931174, | |
| "grad_norm": 0.881294310092926, | |
| "learning_rate": 8.672744727162781e-05, | |
| "loss": 0.3388, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 9.50067476383266, | |
| "grad_norm": 0.9569498896598816, | |
| "learning_rate": 7.626733001288851e-05, | |
| "loss": 0.2579, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 9.932523616734143, | |
| "grad_norm": 0.9368858337402344, | |
| "learning_rate": 6.607611338819697e-05, | |
| "loss": 0.2657, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 9.997300944669366, | |
| "eval_loss": 1.310530424118042, | |
| "eval_runtime": 11.9264, | |
| "eval_samples_per_second": 31.191, | |
| "eval_steps_per_second": 3.941, | |
| "step": 463 | |
| }, | |
| { | |
| "epoch": 10.364372469635628, | |
| "grad_norm": 0.8425939679145813, | |
| "learning_rate": 5.626926795411447e-05, | |
| "loss": 0.1949, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 10.796221322537113, | |
| "grad_norm": 0.9611827731132507, | |
| "learning_rate": 4.695790918802576e-05, | |
| "loss": 0.1918, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 10.99055330634278, | |
| "eval_loss": 1.393843412399292, | |
| "eval_runtime": 11.9319, | |
| "eval_samples_per_second": 31.177, | |
| "eval_steps_per_second": 3.939, | |
| "step": 509 | |
| }, | |
| { | |
| "epoch": 11.228070175438596, | |
| "grad_norm": 0.75007563829422, | |
| "learning_rate": 3.824753850538082e-05, | |
| "loss": 0.1854, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 11.65991902834008, | |
| "grad_norm": 0.710945725440979, | |
| "learning_rate": 3.0236847886501542e-05, | |
| "loss": 0.162, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 11.983805668016194, | |
| "eval_loss": 1.4677594900131226, | |
| "eval_runtime": 11.9217, | |
| "eval_samples_per_second": 31.204, | |
| "eval_steps_per_second": 3.942, | |
| "step": 555 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 690, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 15, | |
| "save_steps": 500, | |
| "total_flos": 4.962667014222643e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |