| { | |
| "best_metric": 0.8735294117647059, | |
| "best_model_checkpoint": "beit-base-patch16-384-finetuned-style-cafe/checkpoint-30", | |
| "epoch": 4.0, | |
| "global_step": 32, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.25, | |
| "eval_accuracy": 0.5764705882352941, | |
| "eval_loss": 1.2258567810058594, | |
| "eval_runtime": 10.8099, | |
| "eval_samples_per_second": 31.453, | |
| "eval_steps_per_second": 0.185, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_accuracy": 0.6852941176470588, | |
| "eval_loss": 0.8997119069099426, | |
| "eval_runtime": 10.9229, | |
| "eval_samples_per_second": 31.127, | |
| "eval_steps_per_second": 0.183, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_accuracy": 0.7735294117647059, | |
| "eval_loss": 0.6791498064994812, | |
| "eval_runtime": 10.7919, | |
| "eval_samples_per_second": 31.505, | |
| "eval_steps_per_second": 0.185, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8441176470588235, | |
| "eval_loss": 0.5481722950935364, | |
| "eval_runtime": 10.7067, | |
| "eval_samples_per_second": 31.756, | |
| "eval_steps_per_second": 0.187, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 3.928571428571429e-05, | |
| "loss": 1.0539, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_accuracy": 0.8588235294117647, | |
| "eval_loss": 0.46222972869873047, | |
| "eval_runtime": 10.7269, | |
| "eval_samples_per_second": 31.696, | |
| "eval_steps_per_second": 0.186, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "eval_accuracy": 0.8529411764705882, | |
| "eval_loss": 0.43965184688568115, | |
| "eval_runtime": 10.7273, | |
| "eval_samples_per_second": 31.695, | |
| "eval_steps_per_second": 0.186, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.8441176470588235, | |
| "eval_loss": 0.41807717084884644, | |
| "eval_runtime": 10.7319, | |
| "eval_samples_per_second": 31.681, | |
| "eval_steps_per_second": 0.186, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8470588235294118, | |
| "eval_loss": 0.38893890380859375, | |
| "eval_runtime": 10.6958, | |
| "eval_samples_per_second": 31.788, | |
| "eval_steps_per_second": 0.187, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "eval_accuracy": 0.8588235294117647, | |
| "eval_loss": 0.3727969527244568, | |
| "eval_runtime": 10.7111, | |
| "eval_samples_per_second": 31.743, | |
| "eval_steps_per_second": 0.187, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 2.1428571428571428e-05, | |
| "loss": 0.4523, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "eval_accuracy": 0.8588235294117647, | |
| "eval_loss": 0.3681255578994751, | |
| "eval_runtime": 10.6816, | |
| "eval_samples_per_second": 31.83, | |
| "eval_steps_per_second": 0.187, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "eval_accuracy": 0.8676470588235294, | |
| "eval_loss": 0.3621581792831421, | |
| "eval_runtime": 10.7596, | |
| "eval_samples_per_second": 31.6, | |
| "eval_steps_per_second": 0.186, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8676470588235294, | |
| "eval_loss": 0.36003121733665466, | |
| "eval_runtime": 10.933, | |
| "eval_samples_per_second": 31.098, | |
| "eval_steps_per_second": 0.183, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "eval_accuracy": 0.8647058823529412, | |
| "eval_loss": 0.3558030426502228, | |
| "eval_runtime": 10.6994, | |
| "eval_samples_per_second": 31.777, | |
| "eval_steps_per_second": 0.187, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "eval_accuracy": 0.8676470588235294, | |
| "eval_loss": 0.34111377596855164, | |
| "eval_runtime": 10.7517, | |
| "eval_samples_per_second": 31.623, | |
| "eval_steps_per_second": 0.186, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 3.5714285714285714e-06, | |
| "loss": 0.3439, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "eval_accuracy": 0.8735294117647059, | |
| "eval_loss": 0.33768245577812195, | |
| "eval_runtime": 10.7509, | |
| "eval_samples_per_second": 31.625, | |
| "eval_steps_per_second": 0.186, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8735294117647059, | |
| "eval_loss": 0.33675017952919006, | |
| "eval_runtime": 10.835, | |
| "eval_samples_per_second": 31.38, | |
| "eval_steps_per_second": 0.185, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "step": 32, | |
| "total_flos": 2.7877646702904607e+18, | |
| "train_loss": 0.5977009888738394, | |
| "train_runtime": 725.9122, | |
| "train_samples_per_second": 16.828, | |
| "train_steps_per_second": 0.044 | |
| } | |
| ], | |
| "max_steps": 32, | |
| "num_train_epochs": 4, | |
| "total_flos": 2.7877646702904607e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |