| { | |
| "best_metric": 0.43153366446495056, | |
| "best_model_checkpoint": "./plant-classification/checkpoint-280", | |
| "epoch": 3.5, | |
| "global_step": 280, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 0.00019375000000000002, | |
| "loss": 2.4618, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 0.0001875, | |
| "loss": 2.0277, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 0.00018125000000000001, | |
| "loss": 1.6392, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 0.000175, | |
| "loss": 1.3747, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_accuracy": 0.7626168224299066, | |
| "eval_loss": 1.1831709146499634, | |
| "eval_runtime": 384.9557, | |
| "eval_samples_per_second": 1.39, | |
| "eval_steps_per_second": 0.174, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 0.00016875, | |
| "loss": 1.2425, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.00016250000000000002, | |
| "loss": 1.1063, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 0.00015625, | |
| "loss": 0.9224, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 0.7905, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8130841121495327, | |
| "eval_loss": 0.7577788233757019, | |
| "eval_runtime": 381.7049, | |
| "eval_samples_per_second": 1.402, | |
| "eval_steps_per_second": 0.176, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 0.00014375, | |
| "loss": 0.6613, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.0001375, | |
| "loss": 0.6946, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.00013125000000000002, | |
| "loss": 0.5187, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 0.000125, | |
| "loss": 0.5223, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "eval_accuracy": 0.8186915887850468, | |
| "eval_loss": 0.6094576120376587, | |
| "eval_runtime": 389.3932, | |
| "eval_samples_per_second": 1.374, | |
| "eval_steps_per_second": 0.172, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 0.00011875, | |
| "loss": 0.5048, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.00011250000000000001, | |
| "loss": 0.5559, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 0.00010625000000000001, | |
| "loss": 0.4757, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.0001, | |
| "loss": 0.3683, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8542056074766355, | |
| "eval_loss": 0.5075709819793701, | |
| "eval_runtime": 384.1646, | |
| "eval_samples_per_second": 1.393, | |
| "eval_steps_per_second": 0.174, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 9.375e-05, | |
| "loss": 0.3126, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "learning_rate": 8.75e-05, | |
| "loss": 0.3093, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 8.125000000000001e-05, | |
| "loss": 0.3063, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.2401, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "eval_accuracy": 0.8467289719626169, | |
| "eval_loss": 0.4515593349933624, | |
| "eval_runtime": 374.8793, | |
| "eval_samples_per_second": 1.427, | |
| "eval_steps_per_second": 0.179, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 6.875e-05, | |
| "loss": 0.3209, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "learning_rate": 6.25e-05, | |
| "loss": 0.2538, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 5.6250000000000005e-05, | |
| "loss": 0.2671, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 5e-05, | |
| "loss": 0.2688, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8598130841121495, | |
| "eval_loss": 0.4518713057041168, | |
| "eval_runtime": 371.598, | |
| "eval_samples_per_second": 1.44, | |
| "eval_steps_per_second": 0.18, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 4.375e-05, | |
| "loss": 0.1702, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.1993, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 3.125e-05, | |
| "loss": 0.218, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.1583, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "eval_accuracy": 0.874766355140187, | |
| "eval_loss": 0.43153366446495056, | |
| "eval_runtime": 380.0584, | |
| "eval_samples_per_second": 1.408, | |
| "eval_steps_per_second": 0.176, | |
| "step": 280 | |
| } | |
| ], | |
| "max_steps": 320, | |
| "num_train_epochs": 4, | |
| "total_flos": 3.467364497947607e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |