| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.13020833333333334, | |
| "eval_steps": 9, | |
| "global_step": 25, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.005208333333333333, | |
| "grad_norm": 1.149965763092041, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 3.1312, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.005208333333333333, | |
| "eval_loss": 3.160311460494995, | |
| "eval_runtime": 2.6854, | |
| "eval_samples_per_second": 60.326, | |
| "eval_steps_per_second": 7.82, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.010416666666666666, | |
| "grad_norm": 1.072540521621704, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 3.1759, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.015625, | |
| "grad_norm": 1.0272471904754639, | |
| "learning_rate": 6e-06, | |
| "loss": 3.1055, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.020833333333333332, | |
| "grad_norm": 1.1299035549163818, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 3.2217, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.026041666666666668, | |
| "grad_norm": 0.9919382929801941, | |
| "learning_rate": 1e-05, | |
| "loss": 3.028, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.03125, | |
| "grad_norm": 1.0636495351791382, | |
| "learning_rate": 1.2e-05, | |
| "loss": 3.2194, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.036458333333333336, | |
| "grad_norm": 1.0188517570495605, | |
| "learning_rate": 1.4e-05, | |
| "loss": 3.1403, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.041666666666666664, | |
| "grad_norm": 1.1026723384857178, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 3.1992, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.046875, | |
| "grad_norm": 0.966528058052063, | |
| "learning_rate": 1.8e-05, | |
| "loss": 3.0237, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.046875, | |
| "eval_loss": 3.1478817462921143, | |
| "eval_runtime": 2.0938, | |
| "eval_samples_per_second": 77.372, | |
| "eval_steps_per_second": 10.03, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.052083333333333336, | |
| "grad_norm": 0.8940801620483398, | |
| "learning_rate": 2e-05, | |
| "loss": 3.0852, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.057291666666666664, | |
| "grad_norm": 1.0513722896575928, | |
| "learning_rate": 1.999390827019096e-05, | |
| "loss": 3.2125, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.0625, | |
| "grad_norm": 0.9304180145263672, | |
| "learning_rate": 1.9975640502598243e-05, | |
| "loss": 3.1098, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.06770833333333333, | |
| "grad_norm": 0.7351564168930054, | |
| "learning_rate": 1.9945218953682736e-05, | |
| "loss": 3.0332, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.07291666666666667, | |
| "grad_norm": 0.862900972366333, | |
| "learning_rate": 1.9902680687415704e-05, | |
| "loss": 3.173, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.078125, | |
| "grad_norm": 0.7154681086540222, | |
| "learning_rate": 1.9848077530122083e-05, | |
| "loss": 3.0754, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.08333333333333333, | |
| "grad_norm": 0.8201392889022827, | |
| "learning_rate": 1.9781476007338058e-05, | |
| "loss": 3.1666, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.08854166666666667, | |
| "grad_norm": 0.7526658177375793, | |
| "learning_rate": 1.9702957262759964e-05, | |
| "loss": 3.0601, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.09375, | |
| "grad_norm": 0.7286026477813721, | |
| "learning_rate": 1.961261695938319e-05, | |
| "loss": 3.0727, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.09375, | |
| "eval_loss": 3.06829571723938, | |
| "eval_runtime": 2.1125, | |
| "eval_samples_per_second": 76.688, | |
| "eval_steps_per_second": 9.941, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.09895833333333333, | |
| "grad_norm": 0.6828358769416809, | |
| "learning_rate": 1.9510565162951538e-05, | |
| "loss": 3.0873, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.10416666666666667, | |
| "grad_norm": 0.7122036814689636, | |
| "learning_rate": 1.9396926207859085e-05, | |
| "loss": 3.042, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.109375, | |
| "grad_norm": 0.642253577709198, | |
| "learning_rate": 1.9271838545667876e-05, | |
| "loss": 3.0086, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.11458333333333333, | |
| "grad_norm": 0.7375343441963196, | |
| "learning_rate": 1.913545457642601e-05, | |
| "loss": 3.0629, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.11979166666666667, | |
| "grad_norm": 0.6836945414543152, | |
| "learning_rate": 1.8987940462991673e-05, | |
| "loss": 3.0095, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.125, | |
| "grad_norm": 0.8602219820022583, | |
| "learning_rate": 1.8829475928589272e-05, | |
| "loss": 3.0885, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.13020833333333334, | |
| "grad_norm": 0.6618623733520508, | |
| "learning_rate": 1.866025403784439e-05, | |
| "loss": 2.9082, | |
| "step": 25 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 506757189206016.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |