| { | |
| "best_metric": 2.0496439933776855, | |
| "best_model_checkpoint": "./outputs/checkpoint-4100", | |
| "epoch": 2.987249544626594, | |
| "eval_steps": 100, | |
| "global_step": 4100, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 0.0002, | |
| "loss": 2.8179, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_loss": 2.723731517791748, | |
| "eval_runtime": 208.4619, | |
| "eval_samples_per_second": 30.097, | |
| "eval_steps_per_second": 3.766, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.0002, | |
| "loss": 2.6952, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_loss": 2.6728808879852295, | |
| "eval_runtime": 204.3784, | |
| "eval_samples_per_second": 30.698, | |
| "eval_steps_per_second": 3.841, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.0002, | |
| "loss": 2.6508, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_loss": 2.6387226581573486, | |
| "eval_runtime": 205.5464, | |
| "eval_samples_per_second": 30.524, | |
| "eval_steps_per_second": 3.819, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 0.0002, | |
| "loss": 2.6247, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_loss": 2.6044600009918213, | |
| "eval_runtime": 204.5115, | |
| "eval_samples_per_second": 30.678, | |
| "eval_steps_per_second": 3.838, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 0.0002, | |
| "loss": 2.5814, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_loss": 2.5784292221069336, | |
| "eval_runtime": 204.5265, | |
| "eval_samples_per_second": 30.676, | |
| "eval_steps_per_second": 3.838, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0002, | |
| "loss": 2.5538, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 2.5523250102996826, | |
| "eval_runtime": 205.1078, | |
| "eval_samples_per_second": 30.589, | |
| "eval_steps_per_second": 3.827, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.0002, | |
| "loss": 2.5382, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 2.5274579524993896, | |
| "eval_runtime": 204.8352, | |
| "eval_samples_per_second": 30.63, | |
| "eval_steps_per_second": 3.832, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.0002, | |
| "loss": 2.5141, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_loss": 2.506831645965576, | |
| "eval_runtime": 204.4886, | |
| "eval_samples_per_second": 30.681, | |
| "eval_steps_per_second": 3.839, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.0002, | |
| "loss": 2.4765, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_loss": 2.484386920928955, | |
| "eval_runtime": 204.734, | |
| "eval_samples_per_second": 30.645, | |
| "eval_steps_per_second": 3.834, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.0002, | |
| "loss": 2.4729, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_loss": 2.4648232460021973, | |
| "eval_runtime": 204.5514, | |
| "eval_samples_per_second": 30.672, | |
| "eval_steps_per_second": 3.838, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0002, | |
| "loss": 2.468, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_loss": 2.442662477493286, | |
| "eval_runtime": 204.6558, | |
| "eval_samples_per_second": 30.656, | |
| "eval_steps_per_second": 3.836, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.0002, | |
| "loss": 2.4198, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "eval_loss": 2.4222779273986816, | |
| "eval_runtime": 204.5507, | |
| "eval_samples_per_second": 30.672, | |
| "eval_steps_per_second": 3.838, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0002, | |
| "loss": 2.4326, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_loss": 2.405611753463745, | |
| "eval_runtime": 204.6008, | |
| "eval_samples_per_second": 30.665, | |
| "eval_steps_per_second": 3.837, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.0002, | |
| "loss": 2.3782, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_loss": 2.381305694580078, | |
| "eval_runtime": 204.4744, | |
| "eval_samples_per_second": 30.684, | |
| "eval_steps_per_second": 3.839, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.0002, | |
| "loss": 2.3396, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "eval_loss": 2.3646771907806396, | |
| "eval_runtime": 204.6348, | |
| "eval_samples_per_second": 30.659, | |
| "eval_steps_per_second": 3.836, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.0002, | |
| "loss": 2.3327, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "eval_loss": 2.3456737995147705, | |
| "eval_runtime": 204.4826, | |
| "eval_samples_per_second": 30.682, | |
| "eval_steps_per_second": 3.839, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.0002, | |
| "loss": 2.3308, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "eval_loss": 2.329716920852661, | |
| "eval_runtime": 204.6937, | |
| "eval_samples_per_second": 30.651, | |
| "eval_steps_per_second": 3.835, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2938, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "eval_loss": 2.313258409500122, | |
| "eval_runtime": 204.5658, | |
| "eval_samples_per_second": 30.67, | |
| "eval_steps_per_second": 3.837, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2756, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 2.298874855041504, | |
| "eval_runtime": 204.84, | |
| "eval_samples_per_second": 30.629, | |
| "eval_steps_per_second": 3.832, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2724, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "eval_loss": 2.2830755710601807, | |
| "eval_runtime": 204.6478, | |
| "eval_samples_per_second": 30.658, | |
| "eval_steps_per_second": 3.836, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.0002, | |
| "loss": 2.252, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "eval_loss": 2.2688376903533936, | |
| "eval_runtime": 204.8236, | |
| "eval_samples_per_second": 30.631, | |
| "eval_steps_per_second": 3.833, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2357, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "eval_loss": 2.2520592212677, | |
| "eval_runtime": 204.8048, | |
| "eval_samples_per_second": 30.634, | |
| "eval_steps_per_second": 3.833, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2266, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "eval_loss": 2.240290880203247, | |
| "eval_runtime": 204.7035, | |
| "eval_samples_per_second": 30.649, | |
| "eval_steps_per_second": 3.835, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2316, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_loss": 2.22774338722229, | |
| "eval_runtime": 204.8482, | |
| "eval_samples_per_second": 30.628, | |
| "eval_steps_per_second": 3.832, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1995, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "eval_loss": 2.2125885486602783, | |
| "eval_runtime": 204.9544, | |
| "eval_samples_per_second": 30.612, | |
| "eval_steps_per_second": 3.83, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1997, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "eval_loss": 2.201737880706787, | |
| "eval_runtime": 205.102, | |
| "eval_samples_per_second": 30.59, | |
| "eval_steps_per_second": 3.827, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1825, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "eval_loss": 2.185546636581421, | |
| "eval_runtime": 204.9463, | |
| "eval_samples_per_second": 30.613, | |
| "eval_steps_per_second": 3.83, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1384, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "eval_loss": 2.1790666580200195, | |
| "eval_runtime": 204.8473, | |
| "eval_samples_per_second": 30.628, | |
| "eval_steps_per_second": 3.832, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1105, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "eval_loss": 2.167008638381958, | |
| "eval_runtime": 204.8809, | |
| "eval_samples_per_second": 30.623, | |
| "eval_steps_per_second": 3.831, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1284, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "eval_loss": 2.1564178466796875, | |
| "eval_runtime": 205.2562, | |
| "eval_samples_per_second": 30.567, | |
| "eval_steps_per_second": 3.824, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0972, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "eval_loss": 2.146613359451294, | |
| "eval_runtime": 205.098, | |
| "eval_samples_per_second": 30.59, | |
| "eval_steps_per_second": 3.827, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1167, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "eval_loss": 2.134009599685669, | |
| "eval_runtime": 205.3378, | |
| "eval_samples_per_second": 30.555, | |
| "eval_steps_per_second": 3.823, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0774, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "eval_loss": 2.125035285949707, | |
| "eval_runtime": 204.8829, | |
| "eval_samples_per_second": 30.622, | |
| "eval_steps_per_second": 3.831, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0749, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "eval_loss": 2.1194825172424316, | |
| "eval_runtime": 208.2795, | |
| "eval_samples_per_second": 30.123, | |
| "eval_steps_per_second": 3.769, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "learning_rate": 0.0002, | |
| "loss": 2.072, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "eval_loss": 2.106606960296631, | |
| "eval_runtime": 205.5389, | |
| "eval_samples_per_second": 30.525, | |
| "eval_steps_per_second": 3.819, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0712, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "eval_loss": 2.096245765686035, | |
| "eval_runtime": 205.0401, | |
| "eval_samples_per_second": 30.599, | |
| "eval_steps_per_second": 3.829, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0508, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "eval_loss": 2.086164951324463, | |
| "eval_runtime": 206.1713, | |
| "eval_samples_per_second": 30.431, | |
| "eval_steps_per_second": 3.808, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0398, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "eval_loss": 2.0767734050750732, | |
| "eval_runtime": 205.3418, | |
| "eval_samples_per_second": 30.554, | |
| "eval_steps_per_second": 3.823, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0276, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "eval_loss": 2.0676474571228027, | |
| "eval_runtime": 205.4014, | |
| "eval_samples_per_second": 30.545, | |
| "eval_steps_per_second": 3.822, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0277, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "eval_loss": 2.0607223510742188, | |
| "eval_runtime": 205.2677, | |
| "eval_samples_per_second": 30.565, | |
| "eval_steps_per_second": 3.824, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0315, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "eval_loss": 2.0496439933776855, | |
| "eval_runtime": 205.7242, | |
| "eval_samples_per_second": 30.497, | |
| "eval_steps_per_second": 3.816, | |
| "step": 4100 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 4116, | |
| "num_train_epochs": 3, | |
| "save_steps": 100, | |
| "total_flos": 1.1671768877819904e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |