| { |
| "best_metric": 0.8802666666666666, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0530/checkpoints/checkpoint-1998", |
| "epoch": 6.0, |
| "eval_steps": 500, |
| "global_step": 1998, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 304.3556823730469, |
| "learning_rate": 7.714285714285714e-05, |
| "loss": 2.9684, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.6989333333333333, |
| "eval_loss": 1.1684645414352417, |
| "eval_runtime": 5.4454, |
| "eval_samples_per_second": 688.651, |
| "eval_steps_per_second": 10.835, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 77.52046966552734, |
| "learning_rate": 6.428571428571429e-05, |
| "loss": 0.8187, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8216, |
| "eval_loss": 0.5993229150772095, |
| "eval_runtime": 5.5251, |
| "eval_samples_per_second": 678.715, |
| "eval_steps_per_second": 10.678, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 92.13040161132812, |
| "learning_rate": 5.142857142857143e-05, |
| "loss": 0.5334, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8472, |
| "eval_loss": 0.48329269886016846, |
| "eval_runtime": 5.4263, |
| "eval_samples_per_second": 691.083, |
| "eval_steps_per_second": 10.873, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 124.91905975341797, |
| "learning_rate": 3.857142857142857e-05, |
| "loss": 0.4036, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8642666666666666, |
| "eval_loss": 0.4417882561683655, |
| "eval_runtime": 8.0689, |
| "eval_samples_per_second": 464.745, |
| "eval_steps_per_second": 7.312, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 44.56376266479492, |
| "learning_rate": 2.5714285714285714e-05, |
| "loss": 0.3273, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8768, |
| "eval_loss": 0.3942687213420868, |
| "eval_runtime": 5.4344, |
| "eval_samples_per_second": 690.054, |
| "eval_steps_per_second": 10.857, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 91.54936981201172, |
| "learning_rate": 1.2857142857142857e-05, |
| "loss": 0.2957, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8802666666666666, |
| "eval_loss": 0.3845222294330597, |
| "eval_runtime": 5.4396, |
| "eval_samples_per_second": 689.391, |
| "eval_steps_per_second": 10.846, |
| "step": 1998 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2331, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 7, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 4.9058575437312e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|