| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.8674136321195145, | |
| "eval_steps": 50, | |
| "global_step": 2000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05, | |
| "eval_loss": 0.1086791530251503, | |
| "eval_runtime": 3.1139, | |
| "eval_samples_per_second": 32.114, | |
| "eval_steps_per_second": 4.175, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_loss": 0.10340642929077148, | |
| "eval_runtime": 3.1088, | |
| "eval_samples_per_second": 32.167, | |
| "eval_steps_per_second": 4.182, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_loss": 0.09758836030960083, | |
| "eval_runtime": 3.1297, | |
| "eval_samples_per_second": 31.952, | |
| "eval_steps_per_second": 4.154, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_loss": 0.09741945564746857, | |
| "eval_runtime": 3.1428, | |
| "eval_samples_per_second": 31.818, | |
| "eval_steps_per_second": 4.136, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_loss": 0.09413551539182663, | |
| "eval_runtime": 3.1346, | |
| "eval_samples_per_second": 31.902, | |
| "eval_steps_per_second": 4.147, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_loss": 0.09605029970407486, | |
| "eval_runtime": 3.1389, | |
| "eval_samples_per_second": 31.858, | |
| "eval_steps_per_second": 4.142, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_loss": 0.0930955782532692, | |
| "eval_runtime": 3.1561, | |
| "eval_samples_per_second": 31.685, | |
| "eval_steps_per_second": 4.119, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_loss": 0.0926249772310257, | |
| "eval_runtime": 3.1213, | |
| "eval_samples_per_second": 32.038, | |
| "eval_steps_per_second": 4.165, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_loss": 0.0899224504828453, | |
| "eval_runtime": 3.1292, | |
| "eval_samples_per_second": 31.957, | |
| "eval_steps_per_second": 4.154, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 8.75e-05, | |
| "loss": 0.1297, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "eval_loss": 0.0851517766714096, | |
| "eval_runtime": 3.1369, | |
| "eval_samples_per_second": 31.879, | |
| "eval_steps_per_second": 4.144, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 0.08426132053136826, | |
| "eval_runtime": 3.1311, | |
| "eval_samples_per_second": 31.938, | |
| "eval_steps_per_second": 4.152, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_loss": 0.0841633602976799, | |
| "eval_runtime": 3.1188, | |
| "eval_samples_per_second": 32.064, | |
| "eval_steps_per_second": 4.168, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_loss": 0.08286924660205841, | |
| "eval_runtime": 3.1352, | |
| "eval_samples_per_second": 31.896, | |
| "eval_steps_per_second": 4.147, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_loss": 0.08303254097700119, | |
| "eval_runtime": 3.1217, | |
| "eval_samples_per_second": 32.034, | |
| "eval_steps_per_second": 4.164, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "eval_loss": 0.08298823982477188, | |
| "eval_runtime": 3.152, | |
| "eval_samples_per_second": 31.726, | |
| "eval_steps_per_second": 4.124, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_loss": 0.08352884650230408, | |
| "eval_runtime": 3.1051, | |
| "eval_samples_per_second": 32.205, | |
| "eval_steps_per_second": 4.187, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "eval_loss": 0.0866646021604538, | |
| "eval_runtime": 3.123, | |
| "eval_samples_per_second": 32.02, | |
| "eval_steps_per_second": 4.163, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "eval_loss": 0.08790910989046097, | |
| "eval_runtime": 3.1472, | |
| "eval_samples_per_second": 31.774, | |
| "eval_steps_per_second": 4.131, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "eval_loss": 0.0884072408080101, | |
| "eval_runtime": 3.1322, | |
| "eval_samples_per_second": 31.926, | |
| "eval_steps_per_second": 4.15, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.1137, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "eval_loss": 0.08399125933647156, | |
| "eval_runtime": 3.1237, | |
| "eval_samples_per_second": 32.013, | |
| "eval_steps_per_second": 4.162, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_loss": 0.08606167882680893, | |
| "eval_runtime": 3.1401, | |
| "eval_samples_per_second": 31.846, | |
| "eval_steps_per_second": 4.14, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "eval_loss": 0.08386250585317612, | |
| "eval_runtime": 3.0992, | |
| "eval_samples_per_second": 32.267, | |
| "eval_steps_per_second": 4.195, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "eval_loss": 0.08104114234447479, | |
| "eval_runtime": 3.1205, | |
| "eval_samples_per_second": 32.046, | |
| "eval_steps_per_second": 4.166, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "eval_loss": 0.08137733489274979, | |
| "eval_runtime": 3.1344, | |
| "eval_samples_per_second": 31.904, | |
| "eval_steps_per_second": 4.148, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "eval_loss": 0.08145874738693237, | |
| "eval_runtime": 3.1106, | |
| "eval_samples_per_second": 32.148, | |
| "eval_steps_per_second": 4.179, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "eval_loss": 0.0812147930264473, | |
| "eval_runtime": 3.1172, | |
| "eval_samples_per_second": 32.08, | |
| "eval_steps_per_second": 4.17, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_loss": 0.0826956108212471, | |
| "eval_runtime": 3.1201, | |
| "eval_samples_per_second": 32.05, | |
| "eval_steps_per_second": 4.167, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "eval_loss": 0.08307519555091858, | |
| "eval_runtime": 3.1328, | |
| "eval_samples_per_second": 31.92, | |
| "eval_steps_per_second": 4.15, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "eval_loss": 0.07891510426998138, | |
| "eval_runtime": 3.1304, | |
| "eval_samples_per_second": 31.945, | |
| "eval_steps_per_second": 4.153, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 6.25e-05, | |
| "loss": 0.0976, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "eval_loss": 0.07503539323806763, | |
| "eval_runtime": 3.1408, | |
| "eval_samples_per_second": 31.839, | |
| "eval_steps_per_second": 4.139, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "eval_loss": 0.07038568705320358, | |
| "eval_runtime": 3.1598, | |
| "eval_samples_per_second": 31.647, | |
| "eval_steps_per_second": 4.114, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "eval_loss": 0.07097797840833664, | |
| "eval_runtime": 3.1403, | |
| "eval_samples_per_second": 31.844, | |
| "eval_steps_per_second": 4.14, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "eval_loss": 0.07105908542871475, | |
| "eval_runtime": 3.1203, | |
| "eval_samples_per_second": 32.048, | |
| "eval_steps_per_second": 4.166, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_loss": 0.06974442303180695, | |
| "eval_runtime": 3.1279, | |
| "eval_samples_per_second": 31.97, | |
| "eval_steps_per_second": 4.156, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_loss": 0.07010236382484436, | |
| "eval_runtime": 3.1368, | |
| "eval_samples_per_second": 31.88, | |
| "eval_steps_per_second": 4.144, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "eval_loss": 0.06847620010375977, | |
| "eval_runtime": 3.1578, | |
| "eval_samples_per_second": 31.667, | |
| "eval_steps_per_second": 4.117, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "eval_loss": 0.06789014488458633, | |
| "eval_runtime": 3.1274, | |
| "eval_samples_per_second": 31.975, | |
| "eval_steps_per_second": 4.157, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "eval_loss": 0.06896524131298065, | |
| "eval_runtime": 3.1488, | |
| "eval_samples_per_second": 31.758, | |
| "eval_steps_per_second": 4.129, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "eval_loss": 0.06796181946992874, | |
| "eval_runtime": 3.1466, | |
| "eval_samples_per_second": 31.78, | |
| "eval_steps_per_second": 4.131, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0908, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "eval_loss": 0.06683148443698883, | |
| "eval_runtime": 3.129, | |
| "eval_samples_per_second": 31.959, | |
| "eval_steps_per_second": 4.155, | |
| "step": 2000 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4000, | |
| "num_train_epochs": 4, | |
| "save_steps": 1000, | |
| "total_flos": 2.738687031115776e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |