| { | |
| "best_metric": 1.4048686027526855, | |
| "best_model_checkpoint": "./outputs/checkpoint-2500", | |
| "epoch": 1.8214936247723132, | |
| "eval_steps": 100, | |
| "global_step": 2500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 0.0002, | |
| "loss": 2.2671, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_loss": 2.1813676357269287, | |
| "eval_runtime": 549.6637, | |
| "eval_samples_per_second": 11.414, | |
| "eval_steps_per_second": 1.428, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1547, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_loss": 2.131509304046631, | |
| "eval_runtime": 549.883, | |
| "eval_samples_per_second": 11.41, | |
| "eval_steps_per_second": 1.428, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.0002, | |
| "loss": 2.1088, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_loss": 2.0894575119018555, | |
| "eval_runtime": 550.3941, | |
| "eval_samples_per_second": 11.399, | |
| "eval_steps_per_second": 1.426, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0681, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_loss": 2.0435657501220703, | |
| "eval_runtime": 550.6916, | |
| "eval_samples_per_second": 11.393, | |
| "eval_steps_per_second": 1.425, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 0.0002, | |
| "loss": 2.0241, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_loss": 2.0031208992004395, | |
| "eval_runtime": 550.5855, | |
| "eval_samples_per_second": 11.395, | |
| "eval_steps_per_second": 1.426, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0002, | |
| "loss": 1.9755, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 1.9635978937149048, | |
| "eval_runtime": 552.4575, | |
| "eval_samples_per_second": 11.357, | |
| "eval_steps_per_second": 1.421, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.0002, | |
| "loss": 1.9447, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 1.9280308485031128, | |
| "eval_runtime": 552.7859, | |
| "eval_samples_per_second": 11.35, | |
| "eval_steps_per_second": 1.42, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.0002, | |
| "loss": 1.9024, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_loss": 1.8917897939682007, | |
| "eval_runtime": 553.0559, | |
| "eval_samples_per_second": 11.344, | |
| "eval_steps_per_second": 1.419, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.0002, | |
| "loss": 1.8626, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_loss": 1.8584532737731934, | |
| "eval_runtime": 554.4522, | |
| "eval_samples_per_second": 11.316, | |
| "eval_steps_per_second": 1.416, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.0002, | |
| "loss": 1.8397, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_loss": 1.8282623291015625, | |
| "eval_runtime": 554.0635, | |
| "eval_samples_per_second": 11.324, | |
| "eval_steps_per_second": 1.417, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0002, | |
| "loss": 1.8218, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_loss": 1.7944462299346924, | |
| "eval_runtime": 554.2451, | |
| "eval_samples_per_second": 11.32, | |
| "eval_steps_per_second": 1.416, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.0002, | |
| "loss": 1.7698, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "eval_loss": 1.7612203359603882, | |
| "eval_runtime": 554.1779, | |
| "eval_samples_per_second": 11.321, | |
| "eval_steps_per_second": 1.417, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0002, | |
| "loss": 1.7685, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_loss": 1.730454921722412, | |
| "eval_runtime": 554.4409, | |
| "eval_samples_per_second": 11.316, | |
| "eval_steps_per_second": 1.416, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.0002, | |
| "loss": 1.6896, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_loss": 1.691584587097168, | |
| "eval_runtime": 554.1975, | |
| "eval_samples_per_second": 11.321, | |
| "eval_steps_per_second": 1.416, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.0002, | |
| "loss": 1.6213, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "eval_loss": 1.6627237796783447, | |
| "eval_runtime": 554.2183, | |
| "eval_samples_per_second": 11.32, | |
| "eval_steps_per_second": 1.416, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.0002, | |
| "loss": 1.6016, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "eval_loss": 1.6322499513626099, | |
| "eval_runtime": 554.3251, | |
| "eval_samples_per_second": 11.318, | |
| "eval_steps_per_second": 1.416, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5939, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "eval_loss": 1.6027921438217163, | |
| "eval_runtime": 555.8406, | |
| "eval_samples_per_second": 11.287, | |
| "eval_steps_per_second": 1.412, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5416, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "eval_loss": 1.5798810720443726, | |
| "eval_runtime": 555.8321, | |
| "eval_samples_per_second": 11.288, | |
| "eval_steps_per_second": 1.412, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5149, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 1.5527715682983398, | |
| "eval_runtime": 556.317, | |
| "eval_samples_per_second": 11.278, | |
| "eval_steps_per_second": 1.411, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5057, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "eval_loss": 1.5266777276992798, | |
| "eval_runtime": 556.4442, | |
| "eval_samples_per_second": 11.275, | |
| "eval_steps_per_second": 1.411, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4851, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "eval_loss": 1.5026806592941284, | |
| "eval_runtime": 556.1829, | |
| "eval_samples_per_second": 11.28, | |
| "eval_steps_per_second": 1.411, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4473, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "eval_loss": 1.4737541675567627, | |
| "eval_runtime": 555.4267, | |
| "eval_samples_per_second": 11.296, | |
| "eval_steps_per_second": 1.413, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 0.0002, | |
| "loss": 1.426, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "eval_loss": 1.4537303447723389, | |
| "eval_runtime": 555.9884, | |
| "eval_samples_per_second": 11.284, | |
| "eval_steps_per_second": 1.412, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4171, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_loss": 1.431217908859253, | |
| "eval_runtime": 557.2566, | |
| "eval_samples_per_second": 11.259, | |
| "eval_steps_per_second": 1.409, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3827, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "eval_loss": 1.4048686027526855, | |
| "eval_runtime": 555.8745, | |
| "eval_samples_per_second": 11.287, | |
| "eval_steps_per_second": 1.412, | |
| "step": 2500 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 4116, | |
| "num_train_epochs": 3, | |
| "save_steps": 100, | |
| "total_flos": 6.513063361819607e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |