| { |
| "best_metric": 0.44989213347435, |
| "best_model_checkpoint": "sea_animals_image_detection/checkpoint-6840", |
| "epoch": 20.0, |
| "eval_steps": 500, |
| "global_step": 6840, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7951719092904169, |
| "eval_loss": 2.152780294418335, |
| "eval_runtime": 27.056, |
| "eval_samples_per_second": 101.05, |
| "eval_steps_per_second": 12.64, |
| "step": 342 |
| }, |
| { |
| "epoch": 1.46, |
| "learning_rate": 9.470588235294119e-06, |
| "loss": 2.4104, |
| "step": 500 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8555230431602048, |
| "eval_loss": 1.5588719844818115, |
| "eval_runtime": 26.6265, |
| "eval_samples_per_second": 102.68, |
| "eval_steps_per_second": 12.844, |
| "step": 684 |
| }, |
| { |
| "epoch": 2.92, |
| "learning_rate": 8.88235294117647e-06, |
| "loss": 1.4121, |
| "step": 1000 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8822238478419897, |
| "eval_loss": 1.2037461996078491, |
| "eval_runtime": 26.9677, |
| "eval_samples_per_second": 101.381, |
| "eval_steps_per_second": 12.682, |
| "step": 1026 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8935625457205559, |
| "eval_loss": 0.9822039008140564, |
| "eval_runtime": 26.4016, |
| "eval_samples_per_second": 103.555, |
| "eval_steps_per_second": 12.954, |
| "step": 1368 |
| }, |
| { |
| "epoch": 4.39, |
| "learning_rate": 8.294117647058825e-06, |
| "loss": 0.9335, |
| "step": 1500 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.9041697147037308, |
| "eval_loss": 0.8228352665901184, |
| "eval_runtime": 27.2507, |
| "eval_samples_per_second": 100.328, |
| "eval_steps_per_second": 12.55, |
| "step": 1710 |
| }, |
| { |
| "epoch": 5.85, |
| "learning_rate": 7.705882352941178e-06, |
| "loss": 0.6607, |
| "step": 2000 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.9012435991221653, |
| "eval_loss": 0.7257607579231262, |
| "eval_runtime": 26.6826, |
| "eval_samples_per_second": 102.464, |
| "eval_steps_per_second": 12.817, |
| "step": 2052 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.9030724213606437, |
| "eval_loss": 0.6461441516876221, |
| "eval_runtime": 26.5418, |
| "eval_samples_per_second": 103.007, |
| "eval_steps_per_second": 12.885, |
| "step": 2394 |
| }, |
| { |
| "epoch": 7.31, |
| "learning_rate": 7.11764705882353e-06, |
| "loss": 0.485, |
| "step": 2500 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.9034381858083395, |
| "eval_loss": 0.5806209444999695, |
| "eval_runtime": 28.3386, |
| "eval_samples_per_second": 96.476, |
| "eval_steps_per_second": 12.068, |
| "step": 2736 |
| }, |
| { |
| "epoch": 8.77, |
| "learning_rate": 6.529411764705883e-06, |
| "loss": 0.3676, |
| "step": 3000 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_accuracy": 0.8994147768836869, |
| "eval_loss": 0.5495482087135315, |
| "eval_runtime": 28.0784, |
| "eval_samples_per_second": 97.37, |
| "eval_steps_per_second": 12.18, |
| "step": 3078 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_accuracy": 0.9019751280175567, |
| "eval_loss": 0.5101125240325928, |
| "eval_runtime": 26.8282, |
| "eval_samples_per_second": 101.908, |
| "eval_steps_per_second": 12.748, |
| "step": 3420 |
| }, |
| { |
| "epoch": 10.23, |
| "learning_rate": 5.941176470588236e-06, |
| "loss": 0.2796, |
| "step": 3500 |
| }, |
| { |
| "epoch": 11.0, |
| "eval_accuracy": 0.8997805413313826, |
| "eval_loss": 0.4954698383808136, |
| "eval_runtime": 29.3485, |
| "eval_samples_per_second": 93.156, |
| "eval_steps_per_second": 11.653, |
| "step": 3762 |
| }, |
| { |
| "epoch": 11.7, |
| "learning_rate": 5.352941176470589e-06, |
| "loss": 0.2236, |
| "step": 4000 |
| }, |
| { |
| "epoch": 12.0, |
| "eval_accuracy": 0.9012435991221653, |
| "eval_loss": 0.4771639108657837, |
| "eval_runtime": 26.8132, |
| "eval_samples_per_second": 101.965, |
| "eval_steps_per_second": 12.755, |
| "step": 4104 |
| }, |
| { |
| "epoch": 13.0, |
| "eval_accuracy": 0.8979517190929042, |
| "eval_loss": 0.47096940875053406, |
| "eval_runtime": 27.6019, |
| "eval_samples_per_second": 99.051, |
| "eval_steps_per_second": 12.39, |
| "step": 4446 |
| }, |
| { |
| "epoch": 13.16, |
| "learning_rate": 4.764705882352941e-06, |
| "loss": 0.1847, |
| "step": 4500 |
| }, |
| { |
| "epoch": 14.0, |
| "eval_accuracy": 0.8986832479882956, |
| "eval_loss": 0.46488723158836365, |
| "eval_runtime": 28.4412, |
| "eval_samples_per_second": 96.128, |
| "eval_steps_per_second": 12.025, |
| "step": 4788 |
| }, |
| { |
| "epoch": 14.62, |
| "learning_rate": 4.176470588235295e-06, |
| "loss": 0.1505, |
| "step": 5000 |
| }, |
| { |
| "epoch": 15.0, |
| "eval_accuracy": 0.9008778346744697, |
| "eval_loss": 0.455506831407547, |
| "eval_runtime": 27.2614, |
| "eval_samples_per_second": 100.288, |
| "eval_steps_per_second": 12.545, |
| "step": 5130 |
| }, |
| { |
| "epoch": 16.0, |
| "eval_accuracy": 0.8990490124359912, |
| "eval_loss": 0.4557651877403259, |
| "eval_runtime": 26.9577, |
| "eval_samples_per_second": 101.418, |
| "eval_steps_per_second": 12.687, |
| "step": 5472 |
| }, |
| { |
| "epoch": 16.08, |
| "learning_rate": 3.5882352941176475e-06, |
| "loss": 0.129, |
| "step": 5500 |
| }, |
| { |
| "epoch": 17.0, |
| "eval_accuracy": 0.9023408924652524, |
| "eval_loss": 0.45066457986831665, |
| "eval_runtime": 27.4851, |
| "eval_samples_per_second": 99.472, |
| "eval_steps_per_second": 12.443, |
| "step": 5814 |
| }, |
| { |
| "epoch": 17.54, |
| "learning_rate": 3e-06, |
| "loss": 0.1116, |
| "step": 6000 |
| }, |
| { |
| "epoch": 18.0, |
| "eval_accuracy": 0.8983174835405998, |
| "eval_loss": 0.4530565142631531, |
| "eval_runtime": 27.2399, |
| "eval_samples_per_second": 100.368, |
| "eval_steps_per_second": 12.555, |
| "step": 6156 |
| }, |
| { |
| "epoch": 19.0, |
| "eval_accuracy": 0.8986832479882956, |
| "eval_loss": 0.45476871728897095, |
| "eval_runtime": 27.1006, |
| "eval_samples_per_second": 100.883, |
| "eval_steps_per_second": 12.62, |
| "step": 6498 |
| }, |
| { |
| "epoch": 19.01, |
| "learning_rate": 2.411764705882353e-06, |
| "loss": 0.0964, |
| "step": 6500 |
| }, |
| { |
| "epoch": 20.0, |
| "eval_accuracy": 0.8997805413313826, |
| "eval_loss": 0.44989213347435, |
| "eval_runtime": 27.224, |
| "eval_samples_per_second": 100.426, |
| "eval_steps_per_second": 12.562, |
| "step": 6840 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 8550, |
| "num_train_epochs": 25, |
| "save_steps": 500, |
| "total_flos": 1.6946037530587791e+19, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|