| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.978102189781022, | |
| "eval_steps": 10, | |
| "global_step": 204, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.014598540145985401, | |
| "eval_loss": 0.3622247874736786, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.4414, | |
| "eval_samples_per_second": 6.947, | |
| "eval_steps_per_second": 1.749, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.145985401459854, | |
| "grad_norm": 50.93666458129883, | |
| "learning_rate": 5e-06, | |
| "loss": 1.6392, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.145985401459854, | |
| "eval_loss": 0.3429737687110901, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.7357, | |
| "eval_samples_per_second": 6.896, | |
| "eval_steps_per_second": 1.736, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.291970802919708, | |
| "grad_norm": 44.70755386352539, | |
| "learning_rate": 1e-05, | |
| "loss": 1.1999, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.291970802919708, | |
| "eval_loss": 0.304928719997406, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.7745, | |
| "eval_samples_per_second": 6.889, | |
| "eval_steps_per_second": 1.735, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.43795620437956206, | |
| "grad_norm": 16.688669204711914, | |
| "learning_rate": 1.5e-05, | |
| "loss": 1.2826, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.43795620437956206, | |
| "eval_loss": 0.2768114507198334, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9306, | |
| "eval_samples_per_second": 6.862, | |
| "eval_steps_per_second": 1.728, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.583941605839416, | |
| "grad_norm": 25.983545303344727, | |
| "learning_rate": 2e-05, | |
| "loss": 0.7583, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.583941605839416, | |
| "eval_loss": 0.24917608499526978, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.8008, | |
| "eval_samples_per_second": 6.884, | |
| "eval_steps_per_second": 1.734, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.7299270072992701, | |
| "grad_norm": 33.70819091796875, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.603, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.7299270072992701, | |
| "eval_loss": 0.2258419543504715, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.8305, | |
| "eval_samples_per_second": 6.879, | |
| "eval_steps_per_second": 1.732, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.8759124087591241, | |
| "grad_norm": 22.157100677490234, | |
| "learning_rate": 3e-05, | |
| "loss": 1.014, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.8759124087591241, | |
| "eval_loss": 0.19583500921726227, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.774, | |
| "eval_samples_per_second": 6.889, | |
| "eval_steps_per_second": 1.735, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.0218978102189782, | |
| "grad_norm": 9.168417930603027, | |
| "learning_rate": 3.5e-05, | |
| "loss": 0.8131, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.0218978102189782, | |
| "eval_loss": 0.16876357793807983, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.0137, | |
| "eval_samples_per_second": 6.848, | |
| "eval_steps_per_second": 1.724, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.167883211678832, | |
| "grad_norm": 17.78595542907715, | |
| "learning_rate": 4e-05, | |
| "loss": 0.6346, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.167883211678832, | |
| "eval_loss": 0.1590624302625656, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.2219, | |
| "eval_samples_per_second": 6.812, | |
| "eval_steps_per_second": 1.715, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.313868613138686, | |
| "grad_norm": 12.886183738708496, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.5089, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.313868613138686, | |
| "eval_loss": 0.15023882687091827, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.1557, | |
| "eval_samples_per_second": 6.823, | |
| "eval_steps_per_second": 1.718, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.4598540145985401, | |
| "grad_norm": 5.830733299255371, | |
| "learning_rate": 5e-05, | |
| "loss": 0.4616, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.4598540145985401, | |
| "eval_loss": 0.1340549886226654, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.1143, | |
| "eval_samples_per_second": 6.83, | |
| "eval_steps_per_second": 1.72, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.6058394160583942, | |
| "grad_norm": 8.617661476135254, | |
| "learning_rate": 4.519230769230769e-05, | |
| "loss": 0.4498, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.6058394160583942, | |
| "eval_loss": 0.11359694600105286, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9036, | |
| "eval_samples_per_second": 6.867, | |
| "eval_steps_per_second": 1.729, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.7518248175182483, | |
| "grad_norm": 120.68909454345703, | |
| "learning_rate": 4.038461538461539e-05, | |
| "loss": 0.4422, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.7518248175182483, | |
| "eval_loss": 0.10619519650936127, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9903, | |
| "eval_samples_per_second": 6.852, | |
| "eval_steps_per_second": 1.725, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.897810218978102, | |
| "grad_norm": 5.805586338043213, | |
| "learning_rate": 3.557692307692308e-05, | |
| "loss": 0.3519, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.897810218978102, | |
| "eval_loss": 0.09886428713798523, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9675, | |
| "eval_samples_per_second": 6.856, | |
| "eval_steps_per_second": 1.726, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.0437956204379564, | |
| "grad_norm": 11.567919731140137, | |
| "learning_rate": 3.0769230769230774e-05, | |
| "loss": 0.2382, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.0437956204379564, | |
| "eval_loss": 0.09246355295181274, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9889, | |
| "eval_samples_per_second": 6.852, | |
| "eval_steps_per_second": 1.725, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.18978102189781, | |
| "grad_norm": 38.91920852661133, | |
| "learning_rate": 2.5961538461538464e-05, | |
| "loss": 0.242, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.18978102189781, | |
| "eval_loss": 0.08943724632263184, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.1851, | |
| "eval_samples_per_second": 6.818, | |
| "eval_steps_per_second": 1.717, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.335766423357664, | |
| "grad_norm": 0.6526745557785034, | |
| "learning_rate": 2.1153846153846154e-05, | |
| "loss": 0.3462, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.335766423357664, | |
| "eval_loss": 0.09070777893066406, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.0427, | |
| "eval_samples_per_second": 6.843, | |
| "eval_steps_per_second": 1.723, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.4817518248175183, | |
| "grad_norm": 9.621135711669922, | |
| "learning_rate": 1.6346153846153847e-05, | |
| "loss": 0.1371, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 2.4817518248175183, | |
| "eval_loss": 0.08618415892124176, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9436, | |
| "eval_samples_per_second": 6.86, | |
| "eval_steps_per_second": 1.727, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 2.627737226277372, | |
| "grad_norm": 20.143051147460938, | |
| "learning_rate": 1.153846153846154e-05, | |
| "loss": 0.2691, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 2.627737226277372, | |
| "eval_loss": 0.08378317207098007, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 40.04, | |
| "eval_samples_per_second": 6.843, | |
| "eval_steps_per_second": 1.723, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 2.7737226277372264, | |
| "grad_norm": 0.41237956285476685, | |
| "learning_rate": 6.730769230769231e-06, | |
| "loss": 0.0869, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 2.7737226277372264, | |
| "eval_loss": 0.08326868712902069, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.9047, | |
| "eval_samples_per_second": 6.866, | |
| "eval_steps_per_second": 1.729, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 2.9197080291970803, | |
| "grad_norm": 0.11198130249977112, | |
| "learning_rate": 1.9230769230769234e-06, | |
| "loss": 0.3401, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.9197080291970803, | |
| "eval_loss": 0.0814913883805275, | |
| "eval_model_preparation_time": 0.0061, | |
| "eval_runtime": 39.93, | |
| "eval_samples_per_second": 6.862, | |
| "eval_steps_per_second": 1.728, | |
| "step": 200 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 204, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4.9136781869568e+16, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |