{ "best_metric": null, "best_model_checkpoint": null, "epoch": 10.0, "eval_steps": 200, "global_step": 280, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.35714285714285715, "grad_norm": 33.699462890625, "learning_rate": 2.0000000000000003e-06, "loss": 12.5831, "step": 10 }, { "epoch": 0.7142857142857143, "grad_norm": 32.89402770996094, "learning_rate": 4.000000000000001e-06, "loss": 12.2228, "step": 20 }, { "epoch": 1.0714285714285714, "grad_norm": 29.5042781829834, "learning_rate": 6e-06, "loss": 11.3684, "step": 30 }, { "epoch": 1.4285714285714286, "grad_norm": 29.208715438842773, "learning_rate": 8.000000000000001e-06, "loss": 9.8704, "step": 40 }, { "epoch": 1.7857142857142856, "grad_norm": 27.723134994506836, "learning_rate": 1e-05, "loss": 7.6666, "step": 50 }, { "epoch": 2.142857142857143, "grad_norm": 18.65027618408203, "learning_rate": 1.2e-05, "loss": 5.3314, "step": 60 }, { "epoch": 2.5, "grad_norm": 6.373291015625, "learning_rate": 1.4000000000000001e-05, "loss": 3.1671, "step": 70 }, { "epoch": 2.857142857142857, "grad_norm": 2.784041404724121, "learning_rate": 1.6000000000000003e-05, "loss": 2.0792, "step": 80 }, { "epoch": 3.2142857142857144, "grad_norm": 1.8078209161758423, "learning_rate": 1.8e-05, "loss": 1.4497, "step": 90 }, { "epoch": 3.571428571428571, "grad_norm": 1.2121152877807617, "learning_rate": 2e-05, "loss": 0.9399, "step": 100 }, { "epoch": 3.928571428571429, "grad_norm": 0.5274812579154968, "learning_rate": 2.2000000000000003e-05, "loss": 0.6974, "step": 110 }, { "epoch": 4.285714285714286, "grad_norm": 0.44586724042892456, "learning_rate": 2.4e-05, "loss": 0.5473, "step": 120 }, { "epoch": 4.642857142857143, "grad_norm": 0.3544086813926697, "learning_rate": 2.6000000000000002e-05, "loss": 0.5048, "step": 130 }, { "epoch": 5.0, "grad_norm": 0.2498295158147812, "learning_rate": 2.8000000000000003e-05, "loss": 0.4708, "step": 140 }, { "epoch": 5.357142857142857, "grad_norm": 0.31819191575050354, "learning_rate": 3e-05, "loss": 0.4269, "step": 150 }, { "epoch": 5.714285714285714, "grad_norm": 0.19436120986938477, "learning_rate": 3.2000000000000005e-05, "loss": 0.4093, "step": 160 }, { "epoch": 6.071428571428571, "grad_norm": 0.19919425249099731, "learning_rate": 3.4000000000000007e-05, "loss": 0.4568, "step": 170 }, { "epoch": 6.428571428571429, "grad_norm": 0.19824030995368958, "learning_rate": 3.6e-05, "loss": 0.3915, "step": 180 }, { "epoch": 6.785714285714286, "grad_norm": 0.19597011804580688, "learning_rate": 3.8e-05, "loss": 0.4281, "step": 190 }, { "epoch": 7.142857142857143, "grad_norm": 0.19348232448101044, "learning_rate": 4e-05, "loss": 0.3779, "step": 200 }, { "epoch": 7.142857142857143, "eval_gen_len": 234.1551, "eval_loss": 0.38291501998901367, "eval_rouge1": 0.9021, "eval_rouge2": 0.8305, "eval_rougeL": 0.8829, "eval_runtime": 46.7129, "eval_samples_per_second": 9.526, "eval_steps_per_second": 0.15, "step": 200 }, { "epoch": 7.5, "grad_norm": 0.14055049419403076, "learning_rate": 4.2e-05, "loss": 0.362, "step": 210 }, { "epoch": 7.857142857142857, "grad_norm": 0.15631766617298126, "learning_rate": 4.4000000000000006e-05, "loss": 0.4151, "step": 220 }, { "epoch": 8.214285714285714, "grad_norm": 0.15075279772281647, "learning_rate": 4.600000000000001e-05, "loss": 0.3821, "step": 230 }, { "epoch": 8.571428571428571, "grad_norm": 0.1391923427581787, "learning_rate": 4.8e-05, "loss": 0.3422, "step": 240 }, { "epoch": 8.928571428571429, "grad_norm": 0.15504033863544464, "learning_rate": 5e-05, "loss": 0.3775, "step": 250 }, { "epoch": 9.285714285714286, "grad_norm": 0.14940936863422394, "learning_rate": 5.2000000000000004e-05, "loss": 0.3694, "step": 260 }, { "epoch": 9.642857142857142, "grad_norm": 0.12456735968589783, "learning_rate": 5.4000000000000005e-05, "loss": 0.3817, "step": 270 }, { "epoch": 10.0, "grad_norm": 0.16763611137866974, "learning_rate": 5.6000000000000006e-05, "loss": 0.3245, "step": 280 } ], "logging_steps": 10, "max_steps": 280, "num_input_tokens_seen": 0, "num_train_epochs": 10, "save_steps": 500, "total_flos": 1.08333608730624e+16, "train_batch_size": 64, "trial_name": null, "trial_params": null }