| { | |
| "best_metric": 0.8520960807800293, | |
| "best_model_checkpoint": "data/Mistral-7B_task-3_120-samples_config-2_full_auto/checkpoint-44", | |
| "epoch": 14.909090909090908, | |
| "eval_steps": 500, | |
| "global_step": 82, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.18181818181818182, | |
| "grad_norm": 1.0692335367202759, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 1.2465, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.36363636363636365, | |
| "grad_norm": 0.9576011300086975, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 1.2172, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.7272727272727273, | |
| "grad_norm": 0.8975992202758789, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 1.246, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.9090909090909091, | |
| "eval_loss": 1.1940295696258545, | |
| "eval_runtime": 25.8928, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 1.0909090909090908, | |
| "grad_norm": 0.860111653804779, | |
| "learning_rate": 2.4e-05, | |
| "loss": 1.2192, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.4545454545454546, | |
| "grad_norm": 0.570076584815979, | |
| "learning_rate": 3.2000000000000005e-05, | |
| "loss": 1.1504, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 1.8181818181818183, | |
| "grad_norm": 0.4158064126968384, | |
| "learning_rate": 4e-05, | |
| "loss": 1.1422, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 1.0793336629867554, | |
| "eval_runtime": 25.8928, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 2.1818181818181817, | |
| "grad_norm": 0.3297309875488281, | |
| "learning_rate": 4.8e-05, | |
| "loss": 1.0569, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 2.5454545454545454, | |
| "grad_norm": 0.3553498089313507, | |
| "learning_rate": 5.6000000000000006e-05, | |
| "loss": 1.0317, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 2.909090909090909, | |
| "grad_norm": 0.40063291788101196, | |
| "learning_rate": 6.400000000000001e-05, | |
| "loss": 1.0294, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 2.909090909090909, | |
| "eval_loss": 1.0065960884094238, | |
| "eval_runtime": 25.8899, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 3.2727272727272725, | |
| "grad_norm": 0.4419811964035034, | |
| "learning_rate": 7.2e-05, | |
| "loss": 0.9902, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 3.6363636363636362, | |
| "grad_norm": 0.43059974908828735, | |
| "learning_rate": 8e-05, | |
| "loss": 0.9199, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.30248573422431946, | |
| "learning_rate": 8.800000000000001e-05, | |
| "loss": 0.8899, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.9020195007324219, | |
| "eval_runtime": 25.9265, | |
| "eval_samples_per_second": 0.926, | |
| "eval_steps_per_second": 0.926, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 4.363636363636363, | |
| "grad_norm": 0.26780542731285095, | |
| "learning_rate": 9.6e-05, | |
| "loss": 0.8597, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 4.7272727272727275, | |
| "grad_norm": 0.25114116072654724, | |
| "learning_rate": 9.999512620046522e-05, | |
| "loss": 0.8298, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 4.909090909090909, | |
| "eval_loss": 0.8736847043037415, | |
| "eval_runtime": 25.8924, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 5.090909090909091, | |
| "grad_norm": 0.21722856163978577, | |
| "learning_rate": 9.995614150494293e-05, | |
| "loss": 0.8389, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 5.454545454545454, | |
| "grad_norm": 0.2524879276752472, | |
| "learning_rate": 9.987820251299122e-05, | |
| "loss": 0.8138, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 5.818181818181818, | |
| "grad_norm": 0.20729583501815796, | |
| "learning_rate": 9.976136999909156e-05, | |
| "loss": 0.7997, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_loss": 0.8607468605041504, | |
| "eval_runtime": 25.887, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 6.181818181818182, | |
| "grad_norm": 0.21508027613162994, | |
| "learning_rate": 9.96057350657239e-05, | |
| "loss": 0.7913, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 6.545454545454545, | |
| "grad_norm": 0.21418441832065582, | |
| "learning_rate": 9.941141907232765e-05, | |
| "loss": 0.774, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 6.909090909090909, | |
| "grad_norm": 0.18334874510765076, | |
| "learning_rate": 9.917857354066931e-05, | |
| "loss": 0.7828, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 6.909090909090909, | |
| "eval_loss": 0.852733314037323, | |
| "eval_runtime": 25.8882, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 7.2727272727272725, | |
| "grad_norm": 0.2507544457912445, | |
| "learning_rate": 9.890738003669029e-05, | |
| "loss": 0.7758, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 7.636363636363637, | |
| "grad_norm": 0.22936642169952393, | |
| "learning_rate": 9.859805002892732e-05, | |
| "loss": 0.7366, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.22656971216201782, | |
| "learning_rate": 9.825082472361557e-05, | |
| "loss": 0.7537, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.8520960807800293, | |
| "eval_runtime": 25.8859, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 8.363636363636363, | |
| "grad_norm": 0.2110353410243988, | |
| "learning_rate": 9.786597487660337e-05, | |
| "loss": 0.7203, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 8.727272727272727, | |
| "grad_norm": 0.2937312722206116, | |
| "learning_rate": 9.744380058222483e-05, | |
| "loss": 0.701, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 8.909090909090908, | |
| "eval_loss": 0.8577341437339783, | |
| "eval_runtime": 25.8858, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 9.090909090909092, | |
| "grad_norm": 0.31091007590293884, | |
| "learning_rate": 9.698463103929542e-05, | |
| "loss": 0.7131, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 9.454545454545455, | |
| "grad_norm": 0.29342061281204224, | |
| "learning_rate": 9.648882429441257e-05, | |
| "loss": 0.6491, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 9.818181818181818, | |
| "grad_norm": 0.2867165803909302, | |
| "learning_rate": 9.595676696276172e-05, | |
| "loss": 0.6948, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_loss": 0.8666787147521973, | |
| "eval_runtime": 25.8908, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 10.181818181818182, | |
| "grad_norm": 0.3385396897792816, | |
| "learning_rate": 9.538887392664544e-05, | |
| "loss": 0.6249, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 10.545454545454545, | |
| "grad_norm": 0.5323635935783386, | |
| "learning_rate": 9.478558801197065e-05, | |
| "loss": 0.6032, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 10.909090909090908, | |
| "grad_norm": 0.4243149757385254, | |
| "learning_rate": 9.414737964294636e-05, | |
| "loss": 0.622, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 10.909090909090908, | |
| "eval_loss": 0.8851115107536316, | |
| "eval_runtime": 25.8839, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 11.272727272727273, | |
| "grad_norm": 0.523710310459137, | |
| "learning_rate": 9.347474647526095e-05, | |
| "loss": 0.5815, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 11.636363636363637, | |
| "grad_norm": 0.5354682207107544, | |
| "learning_rate": 9.276821300802534e-05, | |
| "loss": 0.574, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "grad_norm": 0.6191315054893494, | |
| "learning_rate": 9.202833017478422e-05, | |
| "loss": 0.542, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_loss": 0.9303509593009949, | |
| "eval_runtime": 25.8884, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 12.363636363636363, | |
| "grad_norm": 0.7306078672409058, | |
| "learning_rate": 9.125567491391476e-05, | |
| "loss": 0.506, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 12.727272727272727, | |
| "grad_norm": 0.6805274486541748, | |
| "learning_rate": 9.045084971874738e-05, | |
| "loss": 0.4829, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 12.909090909090908, | |
| "eval_loss": 0.9684502482414246, | |
| "eval_runtime": 25.8932, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 13.090909090909092, | |
| "grad_norm": 0.6913831233978271, | |
| "learning_rate": 8.961448216775954e-05, | |
| "loss": 0.4696, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 13.454545454545455, | |
| "grad_norm": 0.6931716799736023, | |
| "learning_rate": 8.874722443520899e-05, | |
| "loss": 0.4739, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 13.818181818181818, | |
| "grad_norm": 0.847641110420227, | |
| "learning_rate": 8.784975278258783e-05, | |
| "loss": 0.4214, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_loss": 1.003703236579895, | |
| "eval_runtime": 25.8886, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 14.181818181818182, | |
| "grad_norm": 0.848358154296875, | |
| "learning_rate": 8.692276703129421e-05, | |
| "loss": 0.3705, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 14.545454545454545, | |
| "grad_norm": 0.9739524722099304, | |
| "learning_rate": 8.596699001693255e-05, | |
| "loss": 0.4026, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 14.909090909090908, | |
| "grad_norm": 1.1165748834609985, | |
| "learning_rate": 8.498316702566828e-05, | |
| "loss": 0.314, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 14.909090909090908, | |
| "eval_loss": 1.033321499824524, | |
| "eval_runtime": 25.9019, | |
| "eval_samples_per_second": 0.927, | |
| "eval_steps_per_second": 0.927, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 14.909090909090908, | |
| "step": 82, | |
| "total_flos": 1.2926137520042803e+17, | |
| "train_loss": 0.761626343719843, | |
| "train_runtime": 4805.8482, | |
| "train_samples_per_second": 0.916, | |
| "train_steps_per_second": 0.052 | |
| } | |
| ], | |
| "logging_steps": 2, | |
| "max_steps": 250, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 7, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.2926137520042803e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |