| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.4375, | |
| "eval_steps": 2500, | |
| "global_step": 17500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 2.9973244667053223, | |
| "learning_rate": 1.971072463768116e-05, | |
| "loss": 1.6969, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 7.261388778686523, | |
| "learning_rate": 1.9131014492753626e-05, | |
| "loss": 1.5602, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_loss": 1.513683795928955, | |
| "eval_runtime": 202.2713, | |
| "eval_samples_per_second": 4.944, | |
| "eval_steps_per_second": 4.944, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 3.314629316329956, | |
| "learning_rate": 1.8551304347826088e-05, | |
| "loss": 1.5222, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 3.6707098484039307, | |
| "learning_rate": 1.7971594202898553e-05, | |
| "loss": 1.4933, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 1.160583257675171, | |
| "learning_rate": 1.7392463768115943e-05, | |
| "loss": 1.5056, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_loss": 1.4657692909240723, | |
| "eval_runtime": 201.9515, | |
| "eval_samples_per_second": 4.952, | |
| "eval_steps_per_second": 4.952, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 2.666102170944214, | |
| "learning_rate": 1.6812753623188408e-05, | |
| "loss": 1.4754, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 2.95894455909729, | |
| "learning_rate": 1.623304347826087e-05, | |
| "loss": 1.4816, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_loss": 1.4514989852905273, | |
| "eval_runtime": 201.9852, | |
| "eval_samples_per_second": 4.951, | |
| "eval_steps_per_second": 4.951, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 6.616883277893066, | |
| "learning_rate": 1.5653333333333335e-05, | |
| "loss": 1.4414, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 4.114346027374268, | |
| "learning_rate": 1.5074202898550725e-05, | |
| "loss": 1.4392, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 9.38364028930664, | |
| "learning_rate": 1.4495072463768116e-05, | |
| "loss": 1.4307, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_loss": 1.4246548414230347, | |
| "eval_runtime": 201.9169, | |
| "eval_samples_per_second": 4.953, | |
| "eval_steps_per_second": 4.953, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 3.899681806564331, | |
| "learning_rate": 1.3915362318840582e-05, | |
| "loss": 1.4313, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 2.839545965194702, | |
| "learning_rate": 1.3336231884057973e-05, | |
| "loss": 1.415, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "eval_loss": 1.4323452711105347, | |
| "eval_runtime": 202.4132, | |
| "eval_samples_per_second": 4.94, | |
| "eval_steps_per_second": 4.94, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 3.805086612701416, | |
| "learning_rate": 1.2756521739130436e-05, | |
| "loss": 1.4003, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 6.0652241706848145, | |
| "learning_rate": 1.21768115942029e-05, | |
| "loss": 1.3952, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 8.923527717590332, | |
| "learning_rate": 1.1597681159420292e-05, | |
| "loss": 1.3933, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_loss": 1.3821483850479126, | |
| "eval_runtime": 201.8609, | |
| "eval_samples_per_second": 4.954, | |
| "eval_steps_per_second": 4.954, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 5.487946033477783, | |
| "learning_rate": 1.1017971014492755e-05, | |
| "loss": 1.3825, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 2.9339723587036133, | |
| "learning_rate": 1.0438260869565218e-05, | |
| "loss": 1.373, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 1.371016263961792, | |
| "eval_runtime": 201.6518, | |
| "eval_samples_per_second": 4.959, | |
| "eval_steps_per_second": 4.959, | |
| "step": 17500 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 35000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 2500, | |
| "total_flos": 2.8178720489472e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |