| { | |
| "best_metric": 0.43401163816452026, | |
| "best_model_checkpoint": "mikhail-panzo/fil_b64_le3_s4000/checkpoint-500", | |
| "epoch": 88.88888888888889, | |
| "eval_steps": 500, | |
| "global_step": 2000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.2222222222222223, | |
| "grad_norm": 2.2609777450561523, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.7231, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 4.444444444444445, | |
| "grad_norm": 1.939948320388794, | |
| "learning_rate": 5e-05, | |
| "loss": 0.575, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 6.666666666666667, | |
| "grad_norm": 2.9677317142486572, | |
| "learning_rate": 7.5e-05, | |
| "loss": 0.5207, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 8.88888888888889, | |
| "grad_norm": 4.588547706604004, | |
| "learning_rate": 0.0001, | |
| "loss": 0.4996, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 11.11111111111111, | |
| "grad_norm": 1.8626277446746826, | |
| "learning_rate": 0.000125, | |
| "loss": 0.4881, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 13.333333333333334, | |
| "grad_norm": 3.4871737957000732, | |
| "learning_rate": 0.00015, | |
| "loss": 0.4729, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 15.555555555555555, | |
| "grad_norm": 3.5084946155548096, | |
| "learning_rate": 0.000175, | |
| "loss": 0.4661, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 17.77777777777778, | |
| "grad_norm": 7.88467264175415, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4925, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "grad_norm": 4.796986103057861, | |
| "learning_rate": 0.00022500000000000002, | |
| "loss": 0.4899, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 22.22222222222222, | |
| "grad_norm": 6.419567584991455, | |
| "learning_rate": 0.00025, | |
| "loss": 0.4644, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 22.22222222222222, | |
| "eval_loss": 0.43401163816452026, | |
| "eval_runtime": 17.3691, | |
| "eval_samples_per_second": 9.154, | |
| "eval_steps_per_second": 1.151, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 24.444444444444443, | |
| "grad_norm": 2.6020901203155518, | |
| "learning_rate": 0.000275, | |
| "loss": 0.4492, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 26.666666666666668, | |
| "grad_norm": 7.353488445281982, | |
| "learning_rate": 0.0003, | |
| "loss": 0.4556, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 28.88888888888889, | |
| "grad_norm": 4.736776351928711, | |
| "learning_rate": 0.00032500000000000004, | |
| "loss": 0.4669, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 31.11111111111111, | |
| "grad_norm": 7.411691665649414, | |
| "learning_rate": 0.00035, | |
| "loss": 0.4892, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 33.333333333333336, | |
| "grad_norm": 5.571273326873779, | |
| "learning_rate": 0.000375, | |
| "loss": 0.4858, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 35.55555555555556, | |
| "grad_norm": 7.498672008514404, | |
| "learning_rate": 0.0004, | |
| "loss": 0.4929, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 37.77777777777778, | |
| "grad_norm": 6.763402462005615, | |
| "learning_rate": 0.000425, | |
| "loss": 0.4874, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "grad_norm": 3.335564136505127, | |
| "learning_rate": 0.00045000000000000004, | |
| "loss": 0.513, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 42.22222222222222, | |
| "grad_norm": 3.1004624366760254, | |
| "learning_rate": 0.000475, | |
| "loss": 0.4882, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 44.44444444444444, | |
| "grad_norm": 10.330741882324219, | |
| "learning_rate": 0.0005, | |
| "loss": 0.6468, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 44.44444444444444, | |
| "eval_loss": 0.753709614276886, | |
| "eval_runtime": 16.7842, | |
| "eval_samples_per_second": 9.473, | |
| "eval_steps_per_second": 1.192, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 46.666666666666664, | |
| "grad_norm": 0.7254169583320618, | |
| "learning_rate": 0.0005245, | |
| "loss": 1.8403, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 48.888888888888886, | |
| "grad_norm": 0.14719372987747192, | |
| "learning_rate": 0.0005495, | |
| "loss": 1.6103, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 51.111111111111114, | |
| "grad_norm": 0.2177058607339859, | |
| "learning_rate": 0.0005745, | |
| "loss": 1.5878, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 53.333333333333336, | |
| "grad_norm": 0.20293082296848297, | |
| "learning_rate": 0.0005995000000000001, | |
| "loss": 1.5825, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 55.55555555555556, | |
| "grad_norm": 0.07884251326322556, | |
| "learning_rate": 0.0006245000000000001, | |
| "loss": 1.5827, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 57.77777777777778, | |
| "grad_norm": 0.2063368558883667, | |
| "learning_rate": 0.0006495, | |
| "loss": 1.5858, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "grad_norm": 0.21431827545166016, | |
| "learning_rate": 0.0006745, | |
| "loss": 1.5811, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 62.22222222222222, | |
| "grad_norm": 0.23930463194847107, | |
| "learning_rate": 0.0006995, | |
| "loss": 1.588, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 64.44444444444444, | |
| "grad_norm": 0.1440805047750473, | |
| "learning_rate": 0.0007245000000000001, | |
| "loss": 1.5773, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 66.66666666666667, | |
| "grad_norm": 0.18511304259300232, | |
| "learning_rate": 0.0007495000000000001, | |
| "loss": 1.5805, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 66.66666666666667, | |
| "eval_loss": 1.5452969074249268, | |
| "eval_runtime": 9.5395, | |
| "eval_samples_per_second": 16.668, | |
| "eval_steps_per_second": 2.097, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 68.88888888888889, | |
| "grad_norm": 0.1333579570055008, | |
| "learning_rate": 0.0007745, | |
| "loss": 1.5895, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 71.11111111111111, | |
| "grad_norm": 0.24500781297683716, | |
| "learning_rate": 0.0007995, | |
| "loss": 1.5823, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 73.33333333333333, | |
| "grad_norm": 0.16170234978199005, | |
| "learning_rate": 0.0008245, | |
| "loss": 1.5798, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 75.55555555555556, | |
| "grad_norm": 0.14667277038097382, | |
| "learning_rate": 0.0008495000000000001, | |
| "loss": 1.5756, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 77.77777777777777, | |
| "grad_norm": 0.12401594966650009, | |
| "learning_rate": 0.0008745000000000001, | |
| "loss": 1.5832, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "grad_norm": 0.10182458907365799, | |
| "learning_rate": 0.0008995, | |
| "loss": 1.5767, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 82.22222222222223, | |
| "grad_norm": 0.11051663756370544, | |
| "learning_rate": 0.0009245, | |
| "loss": 1.5745, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 84.44444444444444, | |
| "grad_norm": 0.2343149483203888, | |
| "learning_rate": 0.0009495, | |
| "loss": 1.5828, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 86.66666666666667, | |
| "grad_norm": 0.07052835822105408, | |
| "learning_rate": 0.0009745000000000001, | |
| "loss": 1.5747, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 88.88888888888889, | |
| "grad_norm": 0.044963087886571884, | |
| "learning_rate": 0.0009995000000000002, | |
| "loss": 1.5766, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 88.88888888888889, | |
| "eval_loss": 1.5454070568084717, | |
| "eval_runtime": 9.1426, | |
| "eval_samples_per_second": 17.391, | |
| "eval_steps_per_second": 2.188, | |
| "step": 2000 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 4000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 182, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.7514700481606624e+16, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |