| { |
| "best_metric": 0.8990825688073395, |
| "best_model_checkpoint": "google-vit-base-patch16-224-cartoon-emotion-detection/checkpoint-56", |
| "epoch": 9.969696969696969, |
| "global_step": 80, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.97, |
| "eval_accuracy": 0.5596330275229358, |
| "eval_f1": 0.5360425549075453, |
| "eval_loss": 0.9901540279388428, |
| "eval_precision": 0.5505540964988554, |
| "eval_recall": 0.5596330275229358, |
| "eval_runtime": 5.4111, |
| "eval_samples_per_second": 20.144, |
| "eval_steps_per_second": 0.37, |
| "step": 8 |
| }, |
| { |
| "epoch": 1.24, |
| "learning_rate": 0.00011666666666666667, |
| "loss": 1.242, |
| "step": 10 |
| }, |
| { |
| "epoch": 1.97, |
| "eval_accuracy": 0.8165137614678899, |
| "eval_f1": 0.8131755577433994, |
| "eval_loss": 0.5157326459884644, |
| "eval_precision": 0.819457058574903, |
| "eval_recall": 0.8165137614678899, |
| "eval_runtime": 4.6435, |
| "eval_samples_per_second": 23.473, |
| "eval_steps_per_second": 0.431, |
| "step": 16 |
| }, |
| { |
| "epoch": 2.48, |
| "learning_rate": 0.0001, |
| "loss": 0.4438, |
| "step": 20 |
| }, |
| { |
| "epoch": 2.97, |
| "eval_accuracy": 0.8440366972477065, |
| "eval_f1": 0.8446079913969823, |
| "eval_loss": 0.3870726525783539, |
| "eval_precision": 0.8516382699868937, |
| "eval_recall": 0.8440366972477065, |
| "eval_runtime": 4.4313, |
| "eval_samples_per_second": 24.598, |
| "eval_steps_per_second": 0.451, |
| "step": 24 |
| }, |
| { |
| "epoch": 3.73, |
| "learning_rate": 8.333333333333333e-05, |
| "loss": 0.1768, |
| "step": 30 |
| }, |
| { |
| "epoch": 3.97, |
| "eval_accuracy": 0.8623853211009175, |
| "eval_f1": 0.8585073146382761, |
| "eval_loss": 0.353137731552124, |
| "eval_precision": 0.865271038673443, |
| "eval_recall": 0.8623853211009175, |
| "eval_runtime": 6.7356, |
| "eval_samples_per_second": 16.183, |
| "eval_steps_per_second": 0.297, |
| "step": 32 |
| }, |
| { |
| "epoch": 4.97, |
| "learning_rate": 6.666666666666667e-05, |
| "loss": 0.0661, |
| "step": 40 |
| }, |
| { |
| "epoch": 4.97, |
| "eval_accuracy": 0.8715596330275229, |
| "eval_f1": 0.8673695820239424, |
| "eval_loss": 0.3780345022678375, |
| "eval_precision": 0.8693191511585397, |
| "eval_recall": 0.8715596330275229, |
| "eval_runtime": 4.3244, |
| "eval_samples_per_second": 25.206, |
| "eval_steps_per_second": 0.462, |
| "step": 40 |
| }, |
| { |
| "epoch": 5.97, |
| "eval_accuracy": 0.8623853211009175, |
| "eval_f1": 0.8631844663686221, |
| "eval_loss": 0.374713659286499, |
| "eval_precision": 0.864939209175348, |
| "eval_recall": 0.8623853211009175, |
| "eval_runtime": 4.479, |
| "eval_samples_per_second": 24.336, |
| "eval_steps_per_second": 0.447, |
| "step": 48 |
| }, |
| { |
| "epoch": 6.24, |
| "learning_rate": 5e-05, |
| "loss": 0.0375, |
| "step": 50 |
| }, |
| { |
| "epoch": 6.97, |
| "eval_accuracy": 0.8990825688073395, |
| "eval_f1": 0.8970800861485594, |
| "eval_loss": 0.37597015500068665, |
| "eval_precision": 0.8961258037611989, |
| "eval_recall": 0.8990825688073395, |
| "eval_runtime": 4.4765, |
| "eval_samples_per_second": 24.349, |
| "eval_steps_per_second": 0.447, |
| "step": 56 |
| }, |
| { |
| "epoch": 7.48, |
| "learning_rate": 3.3333333333333335e-05, |
| "loss": 0.0362, |
| "step": 60 |
| }, |
| { |
| "epoch": 7.97, |
| "eval_accuracy": 0.8715596330275229, |
| "eval_f1": 0.8680866720523425, |
| "eval_loss": 0.4092080295085907, |
| "eval_precision": 0.8684143462632116, |
| "eval_recall": 0.8715596330275229, |
| "eval_runtime": 4.3876, |
| "eval_samples_per_second": 24.843, |
| "eval_steps_per_second": 0.456, |
| "step": 64 |
| }, |
| { |
| "epoch": 8.73, |
| "learning_rate": 1.6666666666666667e-05, |
| "loss": 0.0322, |
| "step": 70 |
| }, |
| { |
| "epoch": 8.97, |
| "eval_accuracy": 0.8899082568807339, |
| "eval_f1": 0.8888099976565806, |
| "eval_loss": 0.3499366044998169, |
| "eval_precision": 0.8880198424442283, |
| "eval_recall": 0.8899082568807339, |
| "eval_runtime": 5.3381, |
| "eval_samples_per_second": 20.419, |
| "eval_steps_per_second": 0.375, |
| "step": 72 |
| }, |
| { |
| "epoch": 9.97, |
| "learning_rate": 0.0, |
| "loss": 0.029, |
| "step": 80 |
| }, |
| { |
| "epoch": 9.97, |
| "eval_accuracy": 0.8807339449541285, |
| "eval_f1": 0.8782945902988435, |
| "eval_loss": 0.37059423327445984, |
| "eval_precision": 0.8768597487153273, |
| "eval_recall": 0.8807339449541285, |
| "eval_runtime": 4.4763, |
| "eval_samples_per_second": 24.35, |
| "eval_steps_per_second": 0.447, |
| "step": 80 |
| }, |
| { |
| "epoch": 9.97, |
| "step": 80, |
| "total_flos": 1.6024080844892897e+18, |
| "train_loss": 0.2579587835818529, |
| "train_runtime": 415.4218, |
| "train_samples_per_second": 49.829, |
| "train_steps_per_second": 0.193 |
| } |
| ], |
| "max_steps": 80, |
| "num_train_epochs": 10, |
| "total_flos": 1.6024080844892897e+18, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|