| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 0.7163965254768514, |
| "global_step": 1000, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.01, |
| "learning_rate": 9.8e-05, |
| "loss": 2.7679, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 9.6e-05, |
| "loss": 2.7177, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 9.4e-05, |
| "loss": 2.7222, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 9.200000000000001e-05, |
| "loss": 2.7099, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 9e-05, |
| "loss": 2.7061, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 8.800000000000001e-05, |
| "loss": 2.6767, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 8.6e-05, |
| "loss": 2.6904, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 8.4e-05, |
| "loss": 2.7185, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 8.2e-05, |
| "loss": 2.6847, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 8e-05, |
| "loss": 2.6694, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.14, |
| "eval_accuracy": 0.4485705008989588, |
| "eval_loss": 2.9416415691375732, |
| "eval_runtime": 57.0818, |
| "eval_samples_per_second": 62.086, |
| "eval_steps_per_second": 7.761, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 7.800000000000001e-05, |
| "loss": 2.6807, |
| "step": 220 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 7.6e-05, |
| "loss": 2.6817, |
| "step": 240 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 7.4e-05, |
| "loss": 2.6816, |
| "step": 260 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 7.2e-05, |
| "loss": 2.6423, |
| "step": 280 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 7e-05, |
| "loss": 2.6433, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 6.800000000000001e-05, |
| "loss": 2.6923, |
| "step": 320 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 6.6e-05, |
| "loss": 2.665, |
| "step": 340 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 6.400000000000001e-05, |
| "loss": 2.6328, |
| "step": 360 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 6.2e-05, |
| "loss": 2.66, |
| "step": 380 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 6e-05, |
| "loss": 2.6174, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.29, |
| "eval_accuracy": 0.4501928233490743, |
| "eval_loss": 2.9311683177948, |
| "eval_runtime": 57.1874, |
| "eval_samples_per_second": 61.972, |
| "eval_steps_per_second": 7.746, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 5.8e-05, |
| "loss": 2.634, |
| "step": 420 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 5.6000000000000006e-05, |
| "loss": 2.6383, |
| "step": 440 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 5.4000000000000005e-05, |
| "loss": 2.6367, |
| "step": 460 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 5.2000000000000004e-05, |
| "loss": 2.6456, |
| "step": 480 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 5e-05, |
| "loss": 2.6311, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 4.8e-05, |
| "loss": 2.6221, |
| "step": 520 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 4.600000000000001e-05, |
| "loss": 2.5929, |
| "step": 540 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 4.4000000000000006e-05, |
| "loss": 2.6235, |
| "step": 560 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 4.2e-05, |
| "loss": 2.6383, |
| "step": 580 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 4e-05, |
| "loss": 2.611, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.43, |
| "eval_accuracy": 0.4519195089520393, |
| "eval_loss": 2.9166808128356934, |
| "eval_runtime": 58.9572, |
| "eval_samples_per_second": 60.111, |
| "eval_steps_per_second": 7.514, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 3.8e-05, |
| "loss": 2.599, |
| "step": 620 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 3.6e-05, |
| "loss": 2.6049, |
| "step": 640 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 3.4000000000000007e-05, |
| "loss": 2.6246, |
| "step": 660 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 3.2000000000000005e-05, |
| "loss": 2.6073, |
| "step": 680 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 3e-05, |
| "loss": 2.6135, |
| "step": 700 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 2.8000000000000003e-05, |
| "loss": 2.6025, |
| "step": 720 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 2.6000000000000002e-05, |
| "loss": 2.6018, |
| "step": 740 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 2.4e-05, |
| "loss": 2.6132, |
| "step": 760 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 2.2000000000000003e-05, |
| "loss": 2.5875, |
| "step": 780 |
| }, |
| { |
| "epoch": 0.57, |
| "learning_rate": 2e-05, |
| "loss": 2.576, |
| "step": 800 |
| }, |
| { |
| "epoch": 0.57, |
| "eval_accuracy": 0.4537141134322556, |
| "eval_loss": 2.905719757080078, |
| "eval_runtime": 57.035, |
| "eval_samples_per_second": 62.137, |
| "eval_steps_per_second": 7.767, |
| "step": 800 |
| }, |
| { |
| "epoch": 0.59, |
| "learning_rate": 1.8e-05, |
| "loss": 2.5963, |
| "step": 820 |
| }, |
| { |
| "epoch": 0.6, |
| "learning_rate": 1.6000000000000003e-05, |
| "loss": 2.5999, |
| "step": 840 |
| }, |
| { |
| "epoch": 0.62, |
| "learning_rate": 1.4000000000000001e-05, |
| "loss": 2.5973, |
| "step": 860 |
| }, |
| { |
| "epoch": 0.63, |
| "learning_rate": 1.2e-05, |
| "loss": 2.5919, |
| "step": 880 |
| }, |
| { |
| "epoch": 0.64, |
| "learning_rate": 1e-05, |
| "loss": 2.5767, |
| "step": 900 |
| }, |
| { |
| "epoch": 0.66, |
| "learning_rate": 8.000000000000001e-06, |
| "loss": 2.575, |
| "step": 920 |
| }, |
| { |
| "epoch": 0.67, |
| "learning_rate": 6e-06, |
| "loss": 2.5696, |
| "step": 940 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 4.000000000000001e-06, |
| "loss": 2.597, |
| "step": 960 |
| }, |
| { |
| "epoch": 0.7, |
| "learning_rate": 2.0000000000000003e-06, |
| "loss": 2.587, |
| "step": 980 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.0, |
| "loss": 2.5796, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.72, |
| "eval_accuracy": 0.4548206941640567, |
| "eval_loss": 2.899137020111084, |
| "eval_runtime": 56.9987, |
| "eval_samples_per_second": 62.177, |
| "eval_steps_per_second": 7.772, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.72, |
| "step": 1000, |
| "total_flos": 1.7866929733632e+17, |
| "train_loss": 2.6366955451965333, |
| "train_runtime": 1372.8893, |
| "train_samples_per_second": 46.617, |
| "train_steps_per_second": 0.728 |
| } |
| ], |
| "max_steps": 1000, |
| "num_train_epochs": 1, |
| "total_flos": 1.7866929733632e+17, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
