| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.4076881429344883, | |
| "eval_steps": 500, | |
| "global_step": 13000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02707092582566324, | |
| "grad_norm": 0.9713733196258545, | |
| "learning_rate": 9.910124526258799e-05, | |
| "loss": 3.4945, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.05414185165132648, | |
| "grad_norm": 0.9521434307098389, | |
| "learning_rate": 9.819888106839921e-05, | |
| "loss": 3.5097, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.05414185165132648, | |
| "eval_loss": 2.95473575592041, | |
| "eval_runtime": 87.829, | |
| "eval_samples_per_second": 112.15, | |
| "eval_steps_per_second": 7.014, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.08121277747698971, | |
| "grad_norm": 0.9334385395050049, | |
| "learning_rate": 9.729651687421044e-05, | |
| "loss": 3.4922, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.10828370330265295, | |
| "grad_norm": 1.2239603996276855, | |
| "learning_rate": 9.639415268002166e-05, | |
| "loss": 3.477, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.10828370330265295, | |
| "eval_loss": 2.9319565296173096, | |
| "eval_runtime": 87.8964, | |
| "eval_samples_per_second": 112.064, | |
| "eval_steps_per_second": 7.008, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.1353546291283162, | |
| "grad_norm": 1.1727226972579956, | |
| "learning_rate": 9.549178848583288e-05, | |
| "loss": 3.493, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 0.16242555495397942, | |
| "grad_norm": 0.966973602771759, | |
| "learning_rate": 9.458942429164411e-05, | |
| "loss": 3.5013, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.16242555495397942, | |
| "eval_loss": 2.9275825023651123, | |
| "eval_runtime": 87.899, | |
| "eval_samples_per_second": 112.06, | |
| "eval_steps_per_second": 7.008, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.18949648077964265, | |
| "grad_norm": 0.9813922047615051, | |
| "learning_rate": 9.368706009745533e-05, | |
| "loss": 3.4907, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 0.2165674066053059, | |
| "grad_norm": 1.027085542678833, | |
| "learning_rate": 9.278469590326656e-05, | |
| "loss": 3.4588, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.2165674066053059, | |
| "eval_loss": 2.9044992923736572, | |
| "eval_runtime": 87.8776, | |
| "eval_samples_per_second": 112.088, | |
| "eval_steps_per_second": 7.01, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.24363833243096913, | |
| "grad_norm": 1.0764214992523193, | |
| "learning_rate": 9.188233170907778e-05, | |
| "loss": 3.4531, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 0.2707092582566324, | |
| "grad_norm": 1.0297119617462158, | |
| "learning_rate": 9.0979967514889e-05, | |
| "loss": 3.4445, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.2707092582566324, | |
| "eval_loss": 2.8855738639831543, | |
| "eval_runtime": 87.8728, | |
| "eval_samples_per_second": 112.094, | |
| "eval_steps_per_second": 7.01, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.2977801840822956, | |
| "grad_norm": 0.9697523713111877, | |
| "learning_rate": 9.007760332070024e-05, | |
| "loss": 3.4349, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 0.32485110990795885, | |
| "grad_norm": 0.9611329436302185, | |
| "learning_rate": 8.917523912651147e-05, | |
| "loss": 3.4213, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.32485110990795885, | |
| "eval_loss": 2.8725759983062744, | |
| "eval_runtime": 87.9054, | |
| "eval_samples_per_second": 112.052, | |
| "eval_steps_per_second": 7.008, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.3519220357336221, | |
| "grad_norm": 1.000977873802185, | |
| "learning_rate": 8.827287493232269e-05, | |
| "loss": 3.4239, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 0.3789929615592853, | |
| "grad_norm": 1.0573837757110596, | |
| "learning_rate": 8.737051073813391e-05, | |
| "loss": 3.4015, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.3789929615592853, | |
| "eval_loss": 2.8721706867218018, | |
| "eval_runtime": 87.8848, | |
| "eval_samples_per_second": 112.078, | |
| "eval_steps_per_second": 7.009, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.4060638873849486, | |
| "grad_norm": 0.9532322883605957, | |
| "learning_rate": 8.646814654394514e-05, | |
| "loss": 3.401, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 0.4331348132106118, | |
| "grad_norm": 1.0036464929580688, | |
| "learning_rate": 8.556578234975636e-05, | |
| "loss": 3.3984, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.4331348132106118, | |
| "eval_loss": 2.863417863845825, | |
| "eval_runtime": 87.8316, | |
| "eval_samples_per_second": 112.146, | |
| "eval_steps_per_second": 7.013, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.46020573903627504, | |
| "grad_norm": 0.8860335350036621, | |
| "learning_rate": 8.466341815556758e-05, | |
| "loss": 3.4081, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 0.48727666486193827, | |
| "grad_norm": 1.4852999448776245, | |
| "learning_rate": 8.376105396137882e-05, | |
| "loss": 3.4105, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.48727666486193827, | |
| "eval_loss": 2.8409109115600586, | |
| "eval_runtime": 87.9025, | |
| "eval_samples_per_second": 112.056, | |
| "eval_steps_per_second": 7.008, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.5143475906876015, | |
| "grad_norm": 0.936912477016449, | |
| "learning_rate": 8.285868976719005e-05, | |
| "loss": 3.3952, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 0.5414185165132648, | |
| "grad_norm": 1.0409356355667114, | |
| "learning_rate": 8.195632557300127e-05, | |
| "loss": 3.4039, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.5414185165132648, | |
| "eval_loss": 2.8329713344573975, | |
| "eval_runtime": 87.8287, | |
| "eval_samples_per_second": 112.15, | |
| "eval_steps_per_second": 7.014, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.568489442338928, | |
| "grad_norm": 0.9606480002403259, | |
| "learning_rate": 8.10539613788125e-05, | |
| "loss": 3.3819, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 0.5955603681645912, | |
| "grad_norm": 1.142527461051941, | |
| "learning_rate": 8.015159718462372e-05, | |
| "loss": 3.3898, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.5955603681645912, | |
| "eval_loss": 2.8344321250915527, | |
| "eval_runtime": 87.8057, | |
| "eval_samples_per_second": 112.18, | |
| "eval_steps_per_second": 7.015, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.6226312939902545, | |
| "grad_norm": 1.2294474840164185, | |
| "learning_rate": 7.924923299043494e-05, | |
| "loss": 3.3769, | |
| "step": 5750 | |
| }, | |
| { | |
| "epoch": 0.6497022198159177, | |
| "grad_norm": 1.0300960540771484, | |
| "learning_rate": 7.834686879624617e-05, | |
| "loss": 3.3621, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.6497022198159177, | |
| "eval_loss": 2.8137757778167725, | |
| "eval_runtime": 87.8367, | |
| "eval_samples_per_second": 112.14, | |
| "eval_steps_per_second": 7.013, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.676773145641581, | |
| "grad_norm": 1.076827883720398, | |
| "learning_rate": 7.74445046020574e-05, | |
| "loss": 3.3704, | |
| "step": 6250 | |
| }, | |
| { | |
| "epoch": 0.7038440714672441, | |
| "grad_norm": 1.4118528366088867, | |
| "learning_rate": 7.654214040786863e-05, | |
| "loss": 3.367, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.7038440714672441, | |
| "eval_loss": 2.8218181133270264, | |
| "eval_runtime": 87.9044, | |
| "eval_samples_per_second": 112.053, | |
| "eval_steps_per_second": 7.008, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.7309149972929074, | |
| "grad_norm": 1.0568158626556396, | |
| "learning_rate": 7.563977621367985e-05, | |
| "loss": 3.3509, | |
| "step": 6750 | |
| }, | |
| { | |
| "epoch": 0.7579859231185706, | |
| "grad_norm": 1.0436064004898071, | |
| "learning_rate": 7.473741201949108e-05, | |
| "loss": 3.3496, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.7579859231185706, | |
| "eval_loss": 2.8048973083496094, | |
| "eval_runtime": 87.8448, | |
| "eval_samples_per_second": 112.13, | |
| "eval_steps_per_second": 7.012, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.7850568489442339, | |
| "grad_norm": 0.9466687440872192, | |
| "learning_rate": 7.38350478253023e-05, | |
| "loss": 3.3381, | |
| "step": 7250 | |
| }, | |
| { | |
| "epoch": 0.8121277747698972, | |
| "grad_norm": 0.9336101412773132, | |
| "learning_rate": 7.293268363111352e-05, | |
| "loss": 3.3394, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.8121277747698972, | |
| "eval_loss": 2.80117130279541, | |
| "eval_runtime": 87.8737, | |
| "eval_samples_per_second": 112.093, | |
| "eval_steps_per_second": 7.01, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.8391987005955603, | |
| "grad_norm": 1.0283994674682617, | |
| "learning_rate": 7.203031943692475e-05, | |
| "loss": 3.3379, | |
| "step": 7750 | |
| }, | |
| { | |
| "epoch": 0.8662696264212236, | |
| "grad_norm": 0.9297059774398804, | |
| "learning_rate": 7.112795524273597e-05, | |
| "loss": 3.3196, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.8662696264212236, | |
| "eval_loss": 2.8071343898773193, | |
| "eval_runtime": 87.7691, | |
| "eval_samples_per_second": 112.226, | |
| "eval_steps_per_second": 7.018, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.8933405522468868, | |
| "grad_norm": 1.1025398969650269, | |
| "learning_rate": 7.02255910485472e-05, | |
| "loss": 3.3135, | |
| "step": 8250 | |
| }, | |
| { | |
| "epoch": 0.9204114780725501, | |
| "grad_norm": 0.9545220136642456, | |
| "learning_rate": 6.932322685435842e-05, | |
| "loss": 3.3235, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.9204114780725501, | |
| "eval_loss": 2.783069610595703, | |
| "eval_runtime": 88.0325, | |
| "eval_samples_per_second": 111.891, | |
| "eval_steps_per_second": 6.997, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.9474824038982134, | |
| "grad_norm": 1.0582618713378906, | |
| "learning_rate": 6.842086266016964e-05, | |
| "loss": 3.3076, | |
| "step": 8750 | |
| }, | |
| { | |
| "epoch": 0.9745533297238765, | |
| "grad_norm": 0.9848728775978088, | |
| "learning_rate": 6.751849846598087e-05, | |
| "loss": 3.3111, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.9745533297238765, | |
| "eval_loss": 2.7730352878570557, | |
| "eval_runtime": 87.8671, | |
| "eval_samples_per_second": 112.101, | |
| "eval_steps_per_second": 7.011, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.0016242555495398, | |
| "grad_norm": 1.0229711532592773, | |
| "learning_rate": 6.661613427179209e-05, | |
| "loss": 3.3042, | |
| "step": 9250 | |
| }, | |
| { | |
| "epoch": 1.028695181375203, | |
| "grad_norm": 1.1280988454818726, | |
| "learning_rate": 6.571377007760331e-05, | |
| "loss": 3.3033, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.028695181375203, | |
| "eval_loss": 2.7774875164031982, | |
| "eval_runtime": 85.5937, | |
| "eval_samples_per_second": 115.079, | |
| "eval_steps_per_second": 7.197, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.0557661072008662, | |
| "grad_norm": 1.2061575651168823, | |
| "learning_rate": 6.481140588341454e-05, | |
| "loss": 3.2889, | |
| "step": 9750 | |
| }, | |
| { | |
| "epoch": 1.0828370330265296, | |
| "grad_norm": 1.1995490789413452, | |
| "learning_rate": 6.390904168922578e-05, | |
| "loss": 3.2796, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.0828370330265296, | |
| "eval_loss": 2.773512363433838, | |
| "eval_runtime": 86.6895, | |
| "eval_samples_per_second": 113.624, | |
| "eval_steps_per_second": 7.106, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.1099079588521927, | |
| "grad_norm": 1.0674035549163818, | |
| "learning_rate": 6.3006677495037e-05, | |
| "loss": 3.2893, | |
| "step": 10250 | |
| }, | |
| { | |
| "epoch": 1.136978884677856, | |
| "grad_norm": 1.193318486213684, | |
| "learning_rate": 6.210431330084822e-05, | |
| "loss": 3.2957, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.136978884677856, | |
| "eval_loss": 2.768921375274658, | |
| "eval_runtime": 86.6142, | |
| "eval_samples_per_second": 113.723, | |
| "eval_steps_per_second": 7.112, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.1640498105035193, | |
| "grad_norm": 1.0185372829437256, | |
| "learning_rate": 6.120194910665945e-05, | |
| "loss": 3.2763, | |
| "step": 10750 | |
| }, | |
| { | |
| "epoch": 1.1911207363291825, | |
| "grad_norm": 0.9858824014663696, | |
| "learning_rate": 6.029958491247067e-05, | |
| "loss": 3.2935, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.1911207363291825, | |
| "eval_loss": 2.7698659896850586, | |
| "eval_runtime": 86.7972, | |
| "eval_samples_per_second": 113.483, | |
| "eval_steps_per_second": 7.097, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.2181916621548456, | |
| "grad_norm": 1.0175237655639648, | |
| "learning_rate": 5.9397220718281895e-05, | |
| "loss": 3.2765, | |
| "step": 11250 | |
| }, | |
| { | |
| "epoch": 1.245262587980509, | |
| "grad_norm": 0.9483986496925354, | |
| "learning_rate": 5.849485652409312e-05, | |
| "loss": 3.2714, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 1.245262587980509, | |
| "eval_loss": 2.758622884750366, | |
| "eval_runtime": 87.0052, | |
| "eval_samples_per_second": 113.212, | |
| "eval_steps_per_second": 7.08, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 1.2723335138061722, | |
| "grad_norm": 1.1170575618743896, | |
| "learning_rate": 5.759249232990436e-05, | |
| "loss": 3.2834, | |
| "step": 11750 | |
| }, | |
| { | |
| "epoch": 1.2994044396318354, | |
| "grad_norm": 1.1345117092132568, | |
| "learning_rate": 5.669012813571558e-05, | |
| "loss": 3.2633, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.2994044396318354, | |
| "eval_loss": 2.760470390319824, | |
| "eval_runtime": 87.1216, | |
| "eval_samples_per_second": 113.06, | |
| "eval_steps_per_second": 7.071, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.3264753654574988, | |
| "grad_norm": 0.9705148339271545, | |
| "learning_rate": 5.5787763941526805e-05, | |
| "loss": 3.2687, | |
| "step": 12250 | |
| }, | |
| { | |
| "epoch": 1.353546291283162, | |
| "grad_norm": 1.2483344078063965, | |
| "learning_rate": 5.488539974733803e-05, | |
| "loss": 3.2641, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 1.353546291283162, | |
| "eval_loss": 2.750833034515381, | |
| "eval_runtime": 87.0498, | |
| "eval_samples_per_second": 113.154, | |
| "eval_steps_per_second": 7.076, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 1.3806172171088251, | |
| "grad_norm": 0.9966532588005066, | |
| "learning_rate": 5.398303555314925e-05, | |
| "loss": 3.2619, | |
| "step": 12750 | |
| }, | |
| { | |
| "epoch": 1.4076881429344883, | |
| "grad_norm": 1.0225645303726196, | |
| "learning_rate": 5.3080671358960476e-05, | |
| "loss": 3.2647, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 1.4076881429344883, | |
| "eval_loss": 2.745871067047119, | |
| "eval_runtime": 87.2201, | |
| "eval_samples_per_second": 112.933, | |
| "eval_steps_per_second": 7.063, | |
| "step": 13000 | |
| } | |
| ], | |
| "logging_steps": 250, | |
| "max_steps": 27705, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 1000, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4693477341265920.0, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |