| { | |
| "best_metric": 3.7397849559783936, | |
| "best_model_checkpoint": "card_type_image_detection/checkpoint-1270", | |
| "epoch": 10.0, | |
| "eval_steps": 500, | |
| "global_step": 1270, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.02617283950617284, | |
| "eval_loss": 3.9544386863708496, | |
| "eval_runtime": 16.4035, | |
| "eval_samples_per_second": 123.449, | |
| "eval_steps_per_second": 3.902, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.05037037037037037, | |
| "eval_loss": 3.9198195934295654, | |
| "eval_runtime": 16.4873, | |
| "eval_samples_per_second": 122.822, | |
| "eval_steps_per_second": 3.882, | |
| "step": 254 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.08, | |
| "eval_loss": 3.8833959102630615, | |
| "eval_runtime": 16.841, | |
| "eval_samples_per_second": 120.243, | |
| "eval_steps_per_second": 3.8, | |
| "step": 381 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 1.2622950819672132e-06, | |
| "loss": 3.9008, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.10716049382716049, | |
| "eval_loss": 3.848644495010376, | |
| "eval_runtime": 16.6962, | |
| "eval_samples_per_second": 121.285, | |
| "eval_steps_per_second": 3.833, | |
| "step": 508 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.12691358024691357, | |
| "eval_loss": 3.8167531490325928, | |
| "eval_runtime": 16.6107, | |
| "eval_samples_per_second": 121.909, | |
| "eval_steps_per_second": 3.853, | |
| "step": 635 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.1437037037037037, | |
| "eval_loss": 3.789693832397461, | |
| "eval_runtime": 16.721, | |
| "eval_samples_per_second": 121.105, | |
| "eval_steps_per_second": 3.828, | |
| "step": 762 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.15308641975308643, | |
| "eval_loss": 3.7682993412017822, | |
| "eval_runtime": 16.39, | |
| "eval_samples_per_second": 123.551, | |
| "eval_steps_per_second": 3.905, | |
| "step": 889 | |
| }, | |
| { | |
| "epoch": 7.87, | |
| "learning_rate": 4.426229508196721e-07, | |
| "loss": 3.7535, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.15703703703703703, | |
| "eval_loss": 3.752377986907959, | |
| "eval_runtime": 16.5903, | |
| "eval_samples_per_second": 122.059, | |
| "eval_steps_per_second": 3.858, | |
| "step": 1016 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.16098765432098766, | |
| "eval_loss": 3.7429299354553223, | |
| "eval_runtime": 16.4779, | |
| "eval_samples_per_second": 122.892, | |
| "eval_steps_per_second": 3.884, | |
| "step": 1143 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.16197530864197532, | |
| "eval_loss": 3.7397849559783936, | |
| "eval_runtime": 16.3956, | |
| "eval_samples_per_second": 123.509, | |
| "eval_steps_per_second": 3.903, | |
| "step": 1270 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1270, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 6.278169739571896e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |