| { | |
| "best_global_step": 1024, | |
| "best_metric": 0.8984, | |
| "best_model_checkpoint": "models/flan-t5-email-v2/checkpoint-1024", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 1280, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1953125, | |
| "grad_norm": 3.140934467315674, | |
| "learning_rate": 0.000288515625, | |
| "loss": 2.7681, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.390625, | |
| "grad_norm": 3.5862669944763184, | |
| "learning_rate": 0.00027679687499999997, | |
| "loss": 2.0029, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.5859375, | |
| "grad_norm": 3.535059928894043, | |
| "learning_rate": 0.00026507812499999996, | |
| "loss": 1.8103, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.78125, | |
| "grad_norm": 3.164299964904785, | |
| "learning_rate": 0.00025335937499999995, | |
| "loss": 1.7036, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.9765625, | |
| "grad_norm": 3.8106772899627686, | |
| "learning_rate": 0.00024164062499999997, | |
| "loss": 1.5879, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_action_accuracy": 0.8516, | |
| "eval_category_accuracy": 0.8164, | |
| "eval_gen_len": 21.1094, | |
| "eval_loss": 1.4673562049865723, | |
| "eval_rouge1": 0.5852, | |
| "eval_rouge2": 0.3857, | |
| "eval_rougeL": 0.5541, | |
| "eval_rougeLsum": 0.5549, | |
| "eval_runtime": 49.7378, | |
| "eval_samples_per_second": 5.147, | |
| "eval_steps_per_second": 0.643, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 1.171875, | |
| "grad_norm": 3.2147984504699707, | |
| "learning_rate": 0.00022992187499999996, | |
| "loss": 1.4613, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.3671875, | |
| "grad_norm": 3.4544200897216797, | |
| "learning_rate": 0.00021820312499999997, | |
| "loss": 1.34, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.5625, | |
| "grad_norm": 2.983030319213867, | |
| "learning_rate": 0.00020648437499999996, | |
| "loss": 1.3194, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.7578125, | |
| "grad_norm": 3.9024441242218018, | |
| "learning_rate": 0.00019476562499999998, | |
| "loss": 1.26, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.953125, | |
| "grad_norm": 3.664095878601074, | |
| "learning_rate": 0.00018304687499999997, | |
| "loss": 1.2268, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_action_accuracy": 0.8438, | |
| "eval_category_accuracy": 0.8633, | |
| "eval_gen_len": 21.5078, | |
| "eval_loss": 1.353543996810913, | |
| "eval_rouge1": 0.6192, | |
| "eval_rouge2": 0.4239, | |
| "eval_rougeL": 0.5915, | |
| "eval_rougeLsum": 0.5911, | |
| "eval_runtime": 19.3119, | |
| "eval_samples_per_second": 13.256, | |
| "eval_steps_per_second": 1.657, | |
| "step": 512 | |
| }, | |
| { | |
| "epoch": 2.1484375, | |
| "grad_norm": 3.5792407989501953, | |
| "learning_rate": 0.00017132812499999999, | |
| "loss": 1.1758, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 2.34375, | |
| "grad_norm": 4.2944464683532715, | |
| "learning_rate": 0.00015960937499999997, | |
| "loss": 1.171, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 2.5390625, | |
| "grad_norm": 3.5692195892333984, | |
| "learning_rate": 0.000147890625, | |
| "loss": 1.0639, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 2.734375, | |
| "grad_norm": 2.5475616455078125, | |
| "learning_rate": 0.00013617187499999998, | |
| "loss": 1.049, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.9296875, | |
| "grad_norm": 4.432695388793945, | |
| "learning_rate": 0.000124453125, | |
| "loss": 1.018, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_action_accuracy": 0.8438, | |
| "eval_category_accuracy": 0.875, | |
| "eval_gen_len": 21.1055, | |
| "eval_loss": 1.3012762069702148, | |
| "eval_rouge1": 0.6324, | |
| "eval_rouge2": 0.4473, | |
| "eval_rougeL": 0.604, | |
| "eval_rougeLsum": 0.6037, | |
| "eval_runtime": 18.596, | |
| "eval_samples_per_second": 13.766, | |
| "eval_steps_per_second": 1.721, | |
| "step": 768 | |
| }, | |
| { | |
| "epoch": 3.125, | |
| "grad_norm": 3.5918500423431396, | |
| "learning_rate": 0.00011273437499999999, | |
| "loss": 0.9856, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 3.3203125, | |
| "grad_norm": 2.998674154281616, | |
| "learning_rate": 0.00010101562499999999, | |
| "loss": 0.9834, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 3.515625, | |
| "grad_norm": 3.258812427520752, | |
| "learning_rate": 8.9296875e-05, | |
| "loss": 0.9978, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 3.7109375, | |
| "grad_norm": 2.94854474067688, | |
| "learning_rate": 7.7578125e-05, | |
| "loss": 0.91, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 3.90625, | |
| "grad_norm": 4.353010654449463, | |
| "learning_rate": 6.5859375e-05, | |
| "loss": 0.9243, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_action_accuracy": 0.875, | |
| "eval_category_accuracy": 0.8984, | |
| "eval_gen_len": 21.3203, | |
| "eval_loss": 1.279372215270996, | |
| "eval_rouge1": 0.6502, | |
| "eval_rouge2": 0.4636, | |
| "eval_rougeL": 0.62, | |
| "eval_rougeLsum": 0.6192, | |
| "eval_runtime": 18.4054, | |
| "eval_samples_per_second": 13.909, | |
| "eval_steps_per_second": 1.739, | |
| "step": 1024 | |
| }, | |
| { | |
| "epoch": 4.1015625, | |
| "grad_norm": 3.5545711517333984, | |
| "learning_rate": 5.4140624999999996e-05, | |
| "loss": 0.9124, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 4.296875, | |
| "grad_norm": 3.492295265197754, | |
| "learning_rate": 4.2421875e-05, | |
| "loss": 0.9327, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 4.4921875, | |
| "grad_norm": 3.1080660820007324, | |
| "learning_rate": 3.0703124999999996e-05, | |
| "loss": 0.8831, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 4.6875, | |
| "grad_norm": 3.5448036193847656, | |
| "learning_rate": 1.8984375e-05, | |
| "loss": 0.928, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 4.8828125, | |
| "grad_norm": 3.536097526550293, | |
| "learning_rate": 7.2656249999999996e-06, | |
| "loss": 0.8882, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_action_accuracy": 0.8633, | |
| "eval_category_accuracy": 0.8984, | |
| "eval_gen_len": 21.332, | |
| "eval_loss": 1.2812094688415527, | |
| "eval_rouge1": 0.6443, | |
| "eval_rouge2": 0.455, | |
| "eval_rougeL": 0.6129, | |
| "eval_rougeLsum": 0.6129, | |
| "eval_runtime": 18.3186, | |
| "eval_samples_per_second": 13.975, | |
| "eval_steps_per_second": 1.747, | |
| "step": 1280 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 1280, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "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": 1860604565501952.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |