| { | |
| "best_metric": 1.6345170736312866, | |
| "best_model_checkpoint": "outputs/checkpoint-418", | |
| "epoch": 11.985663082437275, | |
| "eval_steps": 500, | |
| "global_step": 418, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.5734767025089605, | |
| "grad_norm": 1.2666417360305786, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 2.9248, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.974910394265233, | |
| "eval_loss": 2.8157026767730713, | |
| "eval_runtime": 11.7687, | |
| "eval_samples_per_second": 31.609, | |
| "eval_steps_per_second": 3.994, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.146953405017921, | |
| "grad_norm": 1.3574857711791992, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 2.8919, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.7204301075268817, | |
| "grad_norm": 1.58558189868927, | |
| "learning_rate": 6e-06, | |
| "loss": 2.8246, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.978494623655914, | |
| "eval_loss": 2.589261293411255, | |
| "eval_runtime": 11.7715, | |
| "eval_samples_per_second": 31.602, | |
| "eval_steps_per_second": 3.993, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 2.293906810035842, | |
| "grad_norm": 2.0228383541107178, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 2.6556, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 2.867383512544803, | |
| "grad_norm": 1.7711297273635864, | |
| "learning_rate": 1e-05, | |
| "loss": 2.2948, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.982078853046595, | |
| "eval_loss": 1.9966150522232056, | |
| "eval_runtime": 11.7703, | |
| "eval_samples_per_second": 31.605, | |
| "eval_steps_per_second": 3.993, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 3.4408602150537635, | |
| "grad_norm": 0.7906980514526367, | |
| "learning_rate": 9.915855517973776e-06, | |
| "loss": 2.0075, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 3.985663082437276, | |
| "eval_loss": 1.8547258377075195, | |
| "eval_runtime": 11.7654, | |
| "eval_samples_per_second": 31.618, | |
| "eval_steps_per_second": 3.995, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 4.014336917562724, | |
| "grad_norm": 0.6804280281066895, | |
| "learning_rate": 9.666254189437286e-06, | |
| "loss": 1.9264, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 4.587813620071684, | |
| "grad_norm": 0.6464373469352722, | |
| "learning_rate": 9.259597044191635e-06, | |
| "loss": 1.8719, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 4.989247311827957, | |
| "eval_loss": 1.7840723991394043, | |
| "eval_runtime": 11.7636, | |
| "eval_samples_per_second": 31.623, | |
| "eval_steps_per_second": 3.995, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 5.161290322580645, | |
| "grad_norm": 0.6501721739768982, | |
| "learning_rate": 8.709571264176408e-06, | |
| "loss": 1.8091, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 5.734767025089606, | |
| "grad_norm": 0.6568534970283508, | |
| "learning_rate": 8.034689503135785e-06, | |
| "loss": 1.7829, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 5.992831541218638, | |
| "eval_loss": 1.7349460124969482, | |
| "eval_runtime": 11.7693, | |
| "eval_samples_per_second": 31.608, | |
| "eval_steps_per_second": 3.993, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 6.308243727598566, | |
| "grad_norm": 0.701804518699646, | |
| "learning_rate": 7.257666791554448e-06, | |
| "loss": 1.7286, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 6.881720430107527, | |
| "grad_norm": 0.6902477741241455, | |
| "learning_rate": 6.4046559988678485e-06, | |
| "loss": 1.7219, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 6.996415770609319, | |
| "eval_loss": 1.697705626487732, | |
| "eval_runtime": 11.7645, | |
| "eval_samples_per_second": 31.621, | |
| "eval_steps_per_second": 3.995, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 7.455197132616488, | |
| "grad_norm": 0.6586928963661194, | |
| "learning_rate": 5.504367585601342e-06, | |
| "loss": 1.7072, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 1.670423984527588, | |
| "eval_runtime": 11.7671, | |
| "eval_samples_per_second": 31.614, | |
| "eval_steps_per_second": 3.994, | |
| "step": 279 | |
| }, | |
| { | |
| "epoch": 8.028673835125447, | |
| "grad_norm": 0.6181725263595581, | |
| "learning_rate": 4.587103272638339e-06, | |
| "loss": 1.6589, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 8.602150537634408, | |
| "grad_norm": 0.7612842321395874, | |
| "learning_rate": 3.6837361521770056e-06, | |
| "loss": 1.6622, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 8.974910394265233, | |
| "eval_loss": 1.6525731086730957, | |
| "eval_runtime": 11.7681, | |
| "eval_samples_per_second": 31.611, | |
| "eval_steps_per_second": 3.994, | |
| "step": 313 | |
| }, | |
| { | |
| "epoch": 9.175627240143369, | |
| "grad_norm": 0.7089374661445618, | |
| "learning_rate": 2.8246715675896354e-06, | |
| "loss": 1.6601, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 9.74910394265233, | |
| "grad_norm": 0.8760582804679871, | |
| "learning_rate": 2.0388237366751005e-06, | |
| "loss": 1.6416, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 9.978494623655914, | |
| "eval_loss": 1.6415046453475952, | |
| "eval_runtime": 11.7688, | |
| "eval_samples_per_second": 31.609, | |
| "eval_steps_per_second": 3.994, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 10.32258064516129, | |
| "grad_norm": 0.7347344160079956, | |
| "learning_rate": 1.3526425629068968e-06, | |
| "loss": 1.6421, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 10.89605734767025, | |
| "grad_norm": 0.7853028774261475, | |
| "learning_rate": 7.89223390062172e-07, | |
| "loss": 1.6276, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 10.982078853046595, | |
| "eval_loss": 1.6362229585647583, | |
| "eval_runtime": 11.826, | |
| "eval_samples_per_second": 31.456, | |
| "eval_steps_per_second": 3.974, | |
| "step": 383 | |
| }, | |
| { | |
| "epoch": 11.469534050179211, | |
| "grad_norm": 0.7689109444618225, | |
| "learning_rate": 3.675296639259912e-07, | |
| "loss": 1.6334, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 11.985663082437275, | |
| "eval_loss": 1.6345170736312866, | |
| "eval_runtime": 11.8501, | |
| "eval_samples_per_second": 31.392, | |
| "eval_steps_per_second": 3.966, | |
| "step": 418 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 442, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 13, | |
| "save_steps": 500, | |
| "total_flos": 2.202789493191475e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |