| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "global_step": 22500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 1.9555555555555557e-05, | |
| "loss": 2.9226, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "learning_rate": 1.9111111111111113e-05, | |
| "loss": 2.9051, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.866666666666667e-05, | |
| "loss": 2.9092, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 1.8222222222222224e-05, | |
| "loss": 2.915, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 1.7777777777777777e-05, | |
| "loss": 2.9285, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 1.7333333333333336e-05, | |
| "loss": 2.8844, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 1.688888888888889e-05, | |
| "loss": 2.9206, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 1.6444444444444444e-05, | |
| "loss": 2.9069, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 2.9354, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 1.555555555555556e-05, | |
| "loss": 2.9054, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 1.5111111111111112e-05, | |
| "loss": 2.9195, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 1.4666666666666666e-05, | |
| "loss": 2.9421, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 1.4222222222222224e-05, | |
| "loss": 2.9313, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 1.377777777777778e-05, | |
| "loss": 2.9654, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 2.9579, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_gen_len": 19.442, | |
| "eval_loss": 3.445647954940796, | |
| "eval_rouge1": 18.8989, | |
| "eval_rouge2": 5.0689, | |
| "eval_rougeL": 15.4851, | |
| "eval_rougeLsum": 16.3155, | |
| "eval_runtime": 673.7677, | |
| "eval_samples_per_second": 5.937, | |
| "eval_steps_per_second": 0.742, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 1.288888888888889e-05, | |
| "loss": 2.5931, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 1.2444444444444446e-05, | |
| "loss": 2.5813, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "learning_rate": 1.2e-05, | |
| "loss": 2.6225, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "learning_rate": 1.1555555555555556e-05, | |
| "loss": 2.6269, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 1.1111111111111113e-05, | |
| "loss": 2.6208, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 1.0666666666666667e-05, | |
| "loss": 2.6287, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 1.0222222222222223e-05, | |
| "loss": 2.6569, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 9.777777777777779e-06, | |
| "loss": 2.6644, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 9.333333333333334e-06, | |
| "loss": 2.6725, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 8.888888888888888e-06, | |
| "loss": 2.6747, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 8.444444444444446e-06, | |
| "loss": 2.7015, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 2.701, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 7.555555555555556e-06, | |
| "loss": 2.7293, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "learning_rate": 7.111111111111112e-06, | |
| "loss": 2.7086, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 2.7437, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_gen_len": 19.113, | |
| "eval_loss": 3.4790942668914795, | |
| "eval_rouge1": 18.8818, | |
| "eval_rouge2": 4.9775, | |
| "eval_rougeL": 15.4084, | |
| "eval_rougeLsum": 16.2892, | |
| "eval_runtime": 647.6595, | |
| "eval_samples_per_second": 6.176, | |
| "eval_steps_per_second": 0.772, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "learning_rate": 6.222222222222223e-06, | |
| "loss": 2.4254, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "learning_rate": 5.777777777777778e-06, | |
| "loss": 2.5738, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 5.333333333333334e-06, | |
| "loss": 2.5708, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 2.27, | |
| "learning_rate": 4.888888888888889e-06, | |
| "loss": 2.6077, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 4.444444444444444e-06, | |
| "loss": 2.5844, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 2.6059, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 3.555555555555556e-06, | |
| "loss": 2.5876, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 3.1111111111111116e-06, | |
| "loss": 2.6129, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "learning_rate": 2.666666666666667e-06, | |
| "loss": 2.5966, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 2.222222222222222e-06, | |
| "loss": 2.6078, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 1.777777777777778e-06, | |
| "loss": 2.6067, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "learning_rate": 1.3333333333333334e-06, | |
| "loss": 2.5888, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "learning_rate": 8.88888888888889e-07, | |
| "loss": 2.5656, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 4.444444444444445e-07, | |
| "loss": 2.5685, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 0.0, | |
| "loss": 2.5666, | |
| "step": 22500 | |
| } | |
| ], | |
| "max_steps": 22500, | |
| "num_train_epochs": 3, | |
| "total_flos": 1.2837568824213504e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |