| { | |
| "best_metric": 1.0, | |
| "best_model_checkpoint": "vit-base-patch16-224-in21k-shiba-inu-detector/checkpoint-24", | |
| "epoch": 19.941176470588236, | |
| "global_step": 80, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.16666666666666666, | |
| "eval_loss": 1.3874683380126953, | |
| "eval_runtime": 0.6379, | |
| "eval_samples_per_second": 94.065, | |
| "eval_steps_per_second": 3.136, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "eval_accuracy": 0.7833333333333333, | |
| "eval_loss": 1.2712124586105347, | |
| "eval_runtime": 0.6386, | |
| "eval_samples_per_second": 93.961, | |
| "eval_steps_per_second": 3.132, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 4.8611111111111115e-05, | |
| "loss": 1.4176, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "eval_accuracy": 0.9, | |
| "eval_loss": 1.0971676111221313, | |
| "eval_runtime": 0.634, | |
| "eval_samples_per_second": 94.631, | |
| "eval_steps_per_second": 3.154, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "eval_accuracy": 0.95, | |
| "eval_loss": 0.9365110397338867, | |
| "eval_runtime": 0.6359, | |
| "eval_samples_per_second": 94.351, | |
| "eval_steps_per_second": 3.145, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 1.0144, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "eval_accuracy": 0.9833333333333333, | |
| "eval_loss": 0.7836101055145264, | |
| "eval_runtime": 0.665, | |
| "eval_samples_per_second": 90.221, | |
| "eval_steps_per_second": 3.007, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.6510943174362183, | |
| "eval_runtime": 0.6349, | |
| "eval_samples_per_second": 94.502, | |
| "eval_steps_per_second": 3.15, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.5329036116600037, | |
| "eval_runtime": 0.6351, | |
| "eval_samples_per_second": 94.467, | |
| "eval_steps_per_second": 3.149, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 7.47, | |
| "learning_rate": 3.472222222222222e-05, | |
| "loss": 0.6329, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 7.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.44028139114379883, | |
| "eval_runtime": 0.6343, | |
| "eval_samples_per_second": 94.586, | |
| "eval_steps_per_second": 3.153, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.37774336338043213, | |
| "eval_runtime": 0.6492, | |
| "eval_samples_per_second": 92.424, | |
| "eval_steps_per_second": 3.081, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.3821, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.3272607922554016, | |
| "eval_runtime": 0.6458, | |
| "eval_samples_per_second": 92.908, | |
| "eval_steps_per_second": 3.097, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 10.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.288595587015152, | |
| "eval_runtime": 0.6455, | |
| "eval_samples_per_second": 92.955, | |
| "eval_steps_per_second": 3.098, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 11.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.2622089684009552, | |
| "eval_runtime": 0.6488, | |
| "eval_samples_per_second": 92.482, | |
| "eval_steps_per_second": 3.083, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 12.47, | |
| "learning_rate": 2.0833333333333336e-05, | |
| "loss": 0.2655, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 12.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.2396974414587021, | |
| "eval_runtime": 0.6621, | |
| "eval_samples_per_second": 90.624, | |
| "eval_steps_per_second": 3.021, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 13.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.2249792218208313, | |
| "eval_runtime": 0.6354, | |
| "eval_samples_per_second": 94.43, | |
| "eval_steps_per_second": 3.148, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 14.94, | |
| "learning_rate": 1.388888888888889e-05, | |
| "loss": 0.202, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 14.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.2151898890733719, | |
| "eval_runtime": 0.6574, | |
| "eval_samples_per_second": 91.275, | |
| "eval_steps_per_second": 3.043, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 15.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.207356259226799, | |
| "eval_runtime": 0.6702, | |
| "eval_samples_per_second": 89.52, | |
| "eval_steps_per_second": 2.984, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 16.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.20027826726436615, | |
| "eval_runtime": 0.6695, | |
| "eval_samples_per_second": 89.625, | |
| "eval_steps_per_second": 2.987, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 17.47, | |
| "learning_rate": 6.944444444444445e-06, | |
| "loss": 0.1785, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 17.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.1959574967622757, | |
| "eval_runtime": 0.6341, | |
| "eval_samples_per_second": 94.622, | |
| "eval_steps_per_second": 3.154, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 18.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.1935936063528061, | |
| "eval_runtime": 0.6338, | |
| "eval_samples_per_second": 94.661, | |
| "eval_steps_per_second": 3.155, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 19.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.1618, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 19.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.19295135140419006, | |
| "eval_runtime": 0.7396, | |
| "eval_samples_per_second": 81.128, | |
| "eval_steps_per_second": 2.704, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 19.94, | |
| "step": 80, | |
| "total_flos": 8.288691784358953e+17, | |
| "train_loss": 0.5318649023771286, | |
| "train_runtime": 312.5066, | |
| "train_samples_per_second": 34.303, | |
| "train_steps_per_second": 0.256 | |
| } | |
| ], | |
| "max_steps": 80, | |
| "num_train_epochs": 20, | |
| "total_flos": 8.288691784358953e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |