| { | |
| "best_metric": 82.213, | |
| "best_model_checkpoint": "/uoa/home/s02sd1/Desktop/Project data/pytorch_project/facebook_26.04/checkpoint-5000", | |
| "epoch": 95.23809523809524, | |
| "global_step": 8000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 5.95, | |
| "learning_rate": 2.8214285714285713e-06, | |
| "loss": 0.1312, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 11.9, | |
| "learning_rate": 2.642857142857143e-06, | |
| "loss": 0.046, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 11.9, | |
| "eval_gen_len": 189.9754, | |
| "eval_loss": 0.0635865107178688, | |
| "eval_rouge1": 81.7351, | |
| "eval_rouge2": 74.9502, | |
| "eval_rougeL": 65.0568, | |
| "eval_rougeLsum": 65.0619, | |
| "eval_runtime": 20480.7032, | |
| "eval_samples_per_second": 0.01, | |
| "eval_steps_per_second": 0.001, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 17.86, | |
| "learning_rate": 2.4642857142857143e-06, | |
| "loss": 0.0227, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 23.81, | |
| "learning_rate": 2.2857142857142856e-06, | |
| "loss": 0.0126, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 23.81, | |
| "eval_gen_len": 208.1773, | |
| "eval_loss": 0.061119239777326584, | |
| "eval_rouge1": 82.8965, | |
| "eval_rouge2": 76.972, | |
| "eval_rougeL": 70.043, | |
| "eval_rougeLsum": 70.3743, | |
| "eval_runtime": 2676.3375, | |
| "eval_samples_per_second": 0.076, | |
| "eval_steps_per_second": 0.004, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 29.76, | |
| "learning_rate": 2.1071428571428572e-06, | |
| "loss": 0.0072, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 35.71, | |
| "learning_rate": 1.928571428571429e-06, | |
| "loss": 0.0048, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 35.71, | |
| "eval_gen_len": 206.1478, | |
| "eval_loss": 0.07027211785316467, | |
| "eval_rouge1": 84.3357, | |
| "eval_rouge2": 79.2414, | |
| "eval_rougeL": 72.9218, | |
| "eval_rougeLsum": 73.2212, | |
| "eval_runtime": 2713.1894, | |
| "eval_samples_per_second": 0.075, | |
| "eval_steps_per_second": 0.004, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 41.67, | |
| "learning_rate": 1.7500000000000002e-06, | |
| "loss": 0.0033, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 47.62, | |
| "learning_rate": 1.5714285714285714e-06, | |
| "loss": 0.0025, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 47.62, | |
| "eval_gen_len": 210.4483, | |
| "eval_loss": 0.06871643662452698, | |
| "eval_rouge1": 83.8269, | |
| "eval_rouge2": 78.3266, | |
| "eval_rougeL": 72.7844, | |
| "eval_rougeLsum": 73.1385, | |
| "eval_runtime": 3070.1132, | |
| "eval_samples_per_second": 0.066, | |
| "eval_steps_per_second": 0.004, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 53.57, | |
| "learning_rate": 1.392857142857143e-06, | |
| "loss": 0.0018, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 59.52, | |
| "learning_rate": 1.2142857142857144e-06, | |
| "loss": 0.0016, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 59.52, | |
| "eval_gen_len": 199.7389, | |
| "eval_loss": 0.07927948236465454, | |
| "eval_rouge1": 86.8825, | |
| "eval_rouge2": 82.213, | |
| "eval_rougeL": 77.2112, | |
| "eval_rougeLsum": 77.4106, | |
| "eval_runtime": 2247.4623, | |
| "eval_samples_per_second": 0.09, | |
| "eval_steps_per_second": 0.005, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 65.48, | |
| "learning_rate": 1.0357142857142857e-06, | |
| "loss": 0.0012, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 71.43, | |
| "learning_rate": 8.571428571428571e-07, | |
| "loss": 0.001, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 71.43, | |
| "eval_gen_len": 202.665, | |
| "eval_loss": 0.08206681907176971, | |
| "eval_rouge1": 86.0452, | |
| "eval_rouge2": 81.3296, | |
| "eval_rougeL": 75.9829, | |
| "eval_rougeLsum": 76.3571, | |
| "eval_runtime": 2123.8856, | |
| "eval_samples_per_second": 0.096, | |
| "eval_steps_per_second": 0.005, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 77.38, | |
| "learning_rate": 6.785714285714286e-07, | |
| "loss": 0.0009, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 83.33, | |
| "learning_rate": 5e-07, | |
| "loss": 0.0008, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 83.33, | |
| "eval_gen_len": 205.0788, | |
| "eval_loss": 0.08218137919902802, | |
| "eval_rouge1": 85.9623, | |
| "eval_rouge2": 81.1543, | |
| "eval_rougeL": 76.8811, | |
| "eval_rougeLsum": 77.0526, | |
| "eval_runtime": 2090.4257, | |
| "eval_samples_per_second": 0.097, | |
| "eval_steps_per_second": 0.005, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 89.29, | |
| "learning_rate": 3.214285714285714e-07, | |
| "loss": 0.0007, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 95.24, | |
| "learning_rate": 1.4285714285714285e-07, | |
| "loss": 0.0006, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 95.24, | |
| "eval_gen_len": 206.7488, | |
| "eval_loss": 0.07930376380681992, | |
| "eval_rouge1": 85.5313, | |
| "eval_rouge2": 80.6524, | |
| "eval_rougeL": 75.6534, | |
| "eval_rougeLsum": 75.8372, | |
| "eval_runtime": 2147.6107, | |
| "eval_samples_per_second": 0.095, | |
| "eval_steps_per_second": 0.005, | |
| "step": 8000 | |
| } | |
| ], | |
| "max_steps": 8400, | |
| "num_train_epochs": 100, | |
| "total_flos": 1.1606068796537242e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |