| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.9872340425531915, | |
| "eval_steps": 5, | |
| "global_step": 29, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 2e-05, | |
| "loss": 1.9849, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_loss": 2.0810964107513428, | |
| "eval_runtime": 6.2278, | |
| "eval_samples_per_second": 44.96, | |
| "eval_steps_per_second": 5.62, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 4e-05, | |
| "loss": 1.8931, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 6e-05, | |
| "loss": 1.763, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 8e-05, | |
| "loss": 1.6688, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 0.0001, | |
| "loss": 1.3107, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_loss": 1.1991726160049438, | |
| "eval_runtime": 6.3173, | |
| "eval_samples_per_second": 44.322, | |
| "eval_steps_per_second": 5.54, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 0.00012, | |
| "loss": 1.1899, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 0.00014, | |
| "loss": 1.041, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 0.00016, | |
| "loss": 0.9779, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 0.00018, | |
| "loss": 0.7671, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6399, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "eval_loss": 0.6359391212463379, | |
| "eval_runtime": 6.2721, | |
| "eval_samples_per_second": 44.642, | |
| "eval_steps_per_second": 5.58, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 0.0001999167799344583, | |
| "loss": 0.6777, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 0.00019966725824941932, | |
| "loss": 0.492, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.00019925185024910277, | |
| "loss": 0.3781, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 0.0001986712473391289, | |
| "loss": 0.4503, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.00019792641587574212, | |
| "loss": 0.2779, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 0.28619876503944397, | |
| "eval_runtime": 6.3023, | |
| "eval_samples_per_second": 44.428, | |
| "eval_steps_per_second": 5.554, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 0.00019701859555740648, | |
| "loss": 0.2658, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.00019594929736144976, | |
| "loss": 0.2282, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 0.000194720301029191, | |
| "loss": 0.2149, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 0.0001933336521037367, | |
| "loss": 0.1792, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 0.00019179165852537596, | |
| "loss": 0.1807, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "eval_loss": 0.1634436696767807, | |
| "eval_runtime": 6.2724, | |
| "eval_samples_per_second": 44.64, | |
| "eval_steps_per_second": 5.58, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 0.0001900968867902419, | |
| "loss": 0.1425, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.00018825215767863214, | |
| "loss": 0.1377, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 0.00018626054156009806, | |
| "loss": 0.1173, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 0.00018412535328311814, | |
| "loss": 0.1338, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 0.00018185014665785936, | |
| "loss": 0.1256, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "eval_loss": 0.1177145466208458, | |
| "eval_runtime": 6.2558, | |
| "eval_samples_per_second": 44.758, | |
| "eval_steps_per_second": 5.595, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 0.00017943870854121124, | |
| "loss": 0.1234, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 0.0001768950525339362, | |
| "loss": 0.1164, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.000174223412300427, | |
| "loss": 0.1077, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 0.00017142823452219038, | |
| "loss": 0.0877, | |
| "step": 29 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 87, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 1.9186990286320435e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |