| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 50.0, | |
| "eval_steps": 500, | |
| "global_step": 12950, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.9305019305019306, | |
| "grad_norm": 2.738110065460205, | |
| "learning_rate": 9.613899613899614e-06, | |
| "loss": 0.0888, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.9305019305019306, | |
| "eval_runtime": 667.5755, | |
| "eval_samples_per_second": 264.418, | |
| "eval_steps_per_second": 16.527, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.861003861003861, | |
| "grad_norm": 4.450708389282227, | |
| "learning_rate": 9.227799227799229e-06, | |
| "loss": 0.0558, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 3.861003861003861, | |
| "eval_runtime": 651.8038, | |
| "eval_samples_per_second": 270.816, | |
| "eval_steps_per_second": 16.927, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 5.7915057915057915, | |
| "grad_norm": 5.049165725708008, | |
| "learning_rate": 8.841698841698842e-06, | |
| "loss": 0.0409, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 5.7915057915057915, | |
| "eval_runtime": 650.4821, | |
| "eval_samples_per_second": 271.366, | |
| "eval_steps_per_second": 16.961, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 7.722007722007722, | |
| "grad_norm": 3.824125051498413, | |
| "learning_rate": 8.455598455598457e-06, | |
| "loss": 0.0319, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 7.722007722007722, | |
| "eval_runtime": 652.7164, | |
| "eval_samples_per_second": 270.438, | |
| "eval_steps_per_second": 16.903, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 9.652509652509652, | |
| "grad_norm": 3.7455878257751465, | |
| "learning_rate": 8.06949806949807e-06, | |
| "loss": 0.0277, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 9.652509652509652, | |
| "eval_runtime": 652.469, | |
| "eval_samples_per_second": 270.54, | |
| "eval_steps_per_second": 16.91, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 11.583011583011583, | |
| "grad_norm": 2.825524091720581, | |
| "learning_rate": 7.683397683397685e-06, | |
| "loss": 0.0249, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 11.583011583011583, | |
| "eval_runtime": 724.8262, | |
| "eval_samples_per_second": 243.533, | |
| "eval_steps_per_second": 15.222, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 13.513513513513514, | |
| "grad_norm": 1.5855698585510254, | |
| "learning_rate": 7.297297297297298e-06, | |
| "loss": 0.0233, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 13.513513513513514, | |
| "eval_runtime": 721.7805, | |
| "eval_samples_per_second": 244.56, | |
| "eval_steps_per_second": 15.286, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 15.444015444015443, | |
| "grad_norm": 2.516690254211426, | |
| "learning_rate": 6.911196911196911e-06, | |
| "loss": 0.0217, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 15.444015444015443, | |
| "eval_runtime": 723.8804, | |
| "eval_samples_per_second": 243.851, | |
| "eval_steps_per_second": 15.241, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 17.374517374517374, | |
| "grad_norm": 2.6874454021453857, | |
| "learning_rate": 6.525096525096526e-06, | |
| "loss": 0.0207, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 17.374517374517374, | |
| "eval_runtime": 726.2467, | |
| "eval_samples_per_second": 243.057, | |
| "eval_steps_per_second": 15.192, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 19.305019305019304, | |
| "grad_norm": 2.5405662059783936, | |
| "learning_rate": 6.13899613899614e-06, | |
| "loss": 0.0198, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 19.305019305019304, | |
| "eval_runtime": 725.831, | |
| "eval_samples_per_second": 243.196, | |
| "eval_steps_per_second": 15.201, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 21.235521235521237, | |
| "grad_norm": 2.5149359703063965, | |
| "learning_rate": 5.752895752895753e-06, | |
| "loss": 0.0191, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 21.235521235521237, | |
| "eval_runtime": 724.4353, | |
| "eval_samples_per_second": 243.664, | |
| "eval_steps_per_second": 15.23, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 23.166023166023166, | |
| "grad_norm": 1.5971148014068604, | |
| "learning_rate": 5.366795366795368e-06, | |
| "loss": 0.0183, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 23.166023166023166, | |
| "eval_runtime": 725.1569, | |
| "eval_samples_per_second": 243.422, | |
| "eval_steps_per_second": 15.215, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 25.096525096525095, | |
| "grad_norm": 2.0284860134124756, | |
| "learning_rate": 4.980694980694981e-06, | |
| "loss": 0.0178, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 25.096525096525095, | |
| "eval_runtime": 726.8832, | |
| "eval_samples_per_second": 242.844, | |
| "eval_steps_per_second": 15.179, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 27.027027027027028, | |
| "grad_norm": 2.005959987640381, | |
| "learning_rate": 4.594594594594596e-06, | |
| "loss": 0.0174, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 27.027027027027028, | |
| "eval_runtime": 725.3449, | |
| "eval_samples_per_second": 243.359, | |
| "eval_steps_per_second": 15.211, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 28.957528957528957, | |
| "grad_norm": 1.96770441532135, | |
| "learning_rate": 4.208494208494209e-06, | |
| "loss": 0.0168, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 28.957528957528957, | |
| "eval_runtime": 765.8326, | |
| "eval_samples_per_second": 230.493, | |
| "eval_steps_per_second": 14.407, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 30.888030888030887, | |
| "grad_norm": 1.844897747039795, | |
| "learning_rate": 3.822393822393823e-06, | |
| "loss": 0.0165, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 30.888030888030887, | |
| "eval_runtime": 819.9764, | |
| "eval_samples_per_second": 215.273, | |
| "eval_steps_per_second": 13.455, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 32.818532818532816, | |
| "grad_norm": 1.615881323814392, | |
| "learning_rate": 3.4362934362934363e-06, | |
| "loss": 0.0162, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 32.818532818532816, | |
| "eval_runtime": 821.2267, | |
| "eval_samples_per_second": 214.946, | |
| "eval_steps_per_second": 13.435, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 34.74903474903475, | |
| "grad_norm": 1.6435213088989258, | |
| "learning_rate": 3.0501930501930503e-06, | |
| "loss": 0.0158, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 34.74903474903475, | |
| "eval_runtime": 819.0429, | |
| "eval_samples_per_second": 215.519, | |
| "eval_steps_per_second": 13.471, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 36.67953667953668, | |
| "grad_norm": 1.7934831380844116, | |
| "learning_rate": 2.6640926640926647e-06, | |
| "loss": 0.0155, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 36.67953667953668, | |
| "eval_runtime": 820.1169, | |
| "eval_samples_per_second": 215.236, | |
| "eval_steps_per_second": 13.453, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 38.61003861003861, | |
| "grad_norm": 1.1239484548568726, | |
| "learning_rate": 2.2779922779922782e-06, | |
| "loss": 0.0152, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 38.61003861003861, | |
| "eval_runtime": 821.2669, | |
| "eval_samples_per_second": 214.935, | |
| "eval_steps_per_second": 13.434, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 40.54054054054054, | |
| "grad_norm": 1.256516456604004, | |
| "learning_rate": 1.8918918918918922e-06, | |
| "loss": 0.015, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 40.54054054054054, | |
| "eval_runtime": 818.9208, | |
| "eval_samples_per_second": 215.551, | |
| "eval_steps_per_second": 13.473, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 42.47104247104247, | |
| "grad_norm": 0.4177967607975006, | |
| "learning_rate": 1.505791505791506e-06, | |
| "loss": 0.0148, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 42.47104247104247, | |
| "eval_runtime": 823.9199, | |
| "eval_samples_per_second": 214.243, | |
| "eval_steps_per_second": 13.391, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 44.4015444015444, | |
| "grad_norm": 0.3761753737926483, | |
| "learning_rate": 1.1196911196911197e-06, | |
| "loss": 0.0146, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 44.4015444015444, | |
| "eval_runtime": 821.1987, | |
| "eval_samples_per_second": 214.953, | |
| "eval_steps_per_second": 13.435, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 46.33204633204633, | |
| "grad_norm": 0.4973774552345276, | |
| "learning_rate": 7.335907335907337e-07, | |
| "loss": 0.0145, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 46.33204633204633, | |
| "eval_runtime": 821.7593, | |
| "eval_samples_per_second": 214.806, | |
| "eval_steps_per_second": 13.426, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 48.262548262548265, | |
| "grad_norm": 0.3773488998413086, | |
| "learning_rate": 3.474903474903475e-07, | |
| "loss": 0.0144, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 48.262548262548265, | |
| "eval_runtime": 824.3743, | |
| "eval_samples_per_second": 214.125, | |
| "eval_steps_per_second": 13.383, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "step": 12950, | |
| "total_flos": 5.544539360447693e+19, | |
| "train_loss": 0.023562463738283135, | |
| "train_runtime": 98807.7466, | |
| "train_samples_per_second": 267.972, | |
| "train_steps_per_second": 0.131 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 12950, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 100, | |
| "total_flos": 5.544539360447693e+19, | |
| "train_batch_size": 2048, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |