| { |
| "best_metric": 0.8408, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0491/checkpoints/checkpoint-2664", |
| "epoch": 8.0, |
| "eval_steps": 500, |
| "global_step": 2664, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 94.95722961425781, |
| "learning_rate": 2.625e-05, |
| "loss": 3.844, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.40586666666666665, |
| "eval_loss": 3.703624963760376, |
| "eval_runtime": 9.2348, |
| "eval_samples_per_second": 406.074, |
| "eval_steps_per_second": 6.389, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 207.0720672607422, |
| "learning_rate": 2.25e-05, |
| "loss": 3.2745, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.5757333333333333, |
| "eval_loss": 2.7443695068359375, |
| "eval_runtime": 7.2796, |
| "eval_samples_per_second": 515.14, |
| "eval_steps_per_second": 8.105, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 187.76119995117188, |
| "learning_rate": 1.8750000000000002e-05, |
| "loss": 2.0933, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.7173333333333334, |
| "eval_loss": 1.5060018301010132, |
| "eval_runtime": 7.3931, |
| "eval_samples_per_second": 507.23, |
| "eval_steps_per_second": 7.98, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 224.58616638183594, |
| "learning_rate": 1.5e-05, |
| "loss": 1.2274, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.7837333333333333, |
| "eval_loss": 0.9947818517684937, |
| "eval_runtime": 7.3759, |
| "eval_samples_per_second": 508.41, |
| "eval_steps_per_second": 7.999, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 104.12053680419922, |
| "learning_rate": 1.125e-05, |
| "loss": 0.8696, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.812, |
| "eval_loss": 0.8177639245986938, |
| "eval_runtime": 7.6995, |
| "eval_samples_per_second": 487.048, |
| "eval_steps_per_second": 7.663, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 252.95147705078125, |
| "learning_rate": 7.5e-06, |
| "loss": 0.7181, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8306666666666667, |
| "eval_loss": 0.6887484192848206, |
| "eval_runtime": 7.4783, |
| "eval_samples_per_second": 501.452, |
| "eval_steps_per_second": 7.89, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 97.23067474365234, |
| "learning_rate": 3.75e-06, |
| "loss": 0.6425, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8389333333333333, |
| "eval_loss": 0.6621872782707214, |
| "eval_runtime": 7.401, |
| "eval_samples_per_second": 506.685, |
| "eval_steps_per_second": 7.972, |
| "step": 2331 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 136.90359497070312, |
| "learning_rate": 0.0, |
| "loss": 0.6038, |
| "step": 2664 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.8408, |
| "eval_loss": 0.6270493268966675, |
| "eval_runtime": 7.5651, |
| "eval_samples_per_second": 495.698, |
| "eval_steps_per_second": 7.799, |
| "step": 2664 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2664, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 8, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 6.5411433916416e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|