| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 2.0, |
| "eval_steps": 500, |
| "global_step": 280, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.03571428571428571, |
| "grad_norm": 19.5, |
| "learning_rate": 1.5838110992819075e-05, |
| "loss": 4.4082, |
| "step": 5 |
| }, |
| { |
| "epoch": 0.07142857142857142, |
| "grad_norm": 11.6875, |
| "learning_rate": 3.5635749733842914e-05, |
| "loss": 3.2859, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.10714285714285714, |
| "grad_norm": 8.1875, |
| "learning_rate": 5.5433388474866766e-05, |
| "loss": 2.8128, |
| "step": 15 |
| }, |
| { |
| "epoch": 0.14285714285714285, |
| "grad_norm": 6.3125, |
| "learning_rate": 7.52310272158906e-05, |
| "loss": 2.6378, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.17857142857142858, |
| "grad_norm": 5.3125, |
| "learning_rate": 9.502866595691445e-05, |
| "loss": 2.4924, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.21428571428571427, |
| "grad_norm": 5.84375, |
| "learning_rate": 0.0001148263046979383, |
| "loss": 2.4994, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.25, |
| "grad_norm": 5.125, |
| "learning_rate": 0.00013462394343896213, |
| "loss": 2.4877, |
| "step": 35 |
| }, |
| { |
| "epoch": 0.2857142857142857, |
| "grad_norm": 5.3125, |
| "learning_rate": 0.00013855579078350677, |
| "loss": 2.5123, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.32142857142857145, |
| "grad_norm": 4.03125, |
| "learning_rate": 0.0001384433896787117, |
| "loss": 2.453, |
| "step": 45 |
| }, |
| { |
| "epoch": 0.35714285714285715, |
| "grad_norm": 4.5625, |
| "learning_rate": 0.00013824472478409896, |
| "loss": 2.4429, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.39285714285714285, |
| "grad_norm": 3.75, |
| "learning_rate": 0.00013796012675777958, |
| "loss": 2.4012, |
| "step": 55 |
| }, |
| { |
| "epoch": 0.42857142857142855, |
| "grad_norm": 3.234375, |
| "learning_rate": 0.00013759006928508162, |
| "loss": 2.351, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.4642857142857143, |
| "grad_norm": 3.71875, |
| "learning_rate": 0.00013713516829014772, |
| "loss": 2.3272, |
| "step": 65 |
| }, |
| { |
| "epoch": 0.5, |
| "grad_norm": 3.875, |
| "learning_rate": 0.00013659618091079015, |
| "loss": 2.3015, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.5357142857142857, |
| "grad_norm": 3.171875, |
| "learning_rate": 0.00013597400423830962, |
| "loss": 2.2773, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.5714285714285714, |
| "grad_norm": 3.359375, |
| "learning_rate": 0.00013526967382437543, |
| "loss": 2.2415, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.6071428571428571, |
| "grad_norm": 2.9375, |
| "learning_rate": 0.00013448436195745173, |
| "loss": 2.1806, |
| "step": 85 |
| }, |
| { |
| "epoch": 0.6428571428571429, |
| "grad_norm": 2.8125, |
| "learning_rate": 0.00013361937571163926, |
| "loss": 2.1731, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.6785714285714286, |
| "grad_norm": 3.015625, |
| "learning_rate": 0.00013267615477117944, |
| "loss": 2.2264, |
| "step": 95 |
| }, |
| { |
| "epoch": 0.7142857142857143, |
| "grad_norm": 2.75, |
| "learning_rate": 0.0001316562690342419, |
| "loss": 2.1964, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.75, |
| "grad_norm": 2.71875, |
| "learning_rate": 0.00013056141599998415, |
| "loss": 2.2052, |
| "step": 105 |
| }, |
| { |
| "epoch": 0.7857142857142857, |
| "grad_norm": 3.21875, |
| "learning_rate": 0.00012939341794323162, |
| "loss": 2.1698, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.8214285714285714, |
| "grad_norm": 2.734375, |
| "learning_rate": 0.00012815421888148093, |
| "loss": 2.1723, |
| "step": 115 |
| }, |
| { |
| "epoch": 0.8571428571428571, |
| "grad_norm": 2.515625, |
| "learning_rate": 0.0001268458813392749, |
| "loss": 2.1478, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.8928571428571429, |
| "grad_norm": 2.546875, |
| "learning_rate": 0.00012547058291533382, |
| "loss": 2.0849, |
| "step": 125 |
| }, |
| { |
| "epoch": 0.9285714285714286, |
| "grad_norm": 2.640625, |
| "learning_rate": 0.00012403061265815721, |
| "loss": 2.1297, |
| "step": 130 |
| }, |
| { |
| "epoch": 0.9642857142857143, |
| "grad_norm": 2.5, |
| "learning_rate": 0.00012252836725612872, |
| "loss": 2.0767, |
| "step": 135 |
| }, |
| { |
| "epoch": 1.0, |
| "grad_norm": 2.34375, |
| "learning_rate": 0.00012096634704846468, |
| "loss": 2.1226, |
| "step": 140 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_loss": 2.0443668365478516, |
| "eval_runtime": 0.4691, |
| "eval_samples_per_second": 10.658, |
| "eval_steps_per_second": 10.658, |
| "step": 140 |
| }, |
| { |
| "epoch": 1.0357142857142858, |
| "grad_norm": 2.5625, |
| "learning_rate": 0.00011934715186364626, |
| "loss": 1.7431, |
| "step": 145 |
| }, |
| { |
| "epoch": 1.0714285714285714, |
| "grad_norm": 2.390625, |
| "learning_rate": 0.00011767347669226159, |
| "loss": 1.6931, |
| "step": 150 |
| }, |
| { |
| "epoch": 1.1071428571428572, |
| "grad_norm": 2.40625, |
| "learning_rate": 0.00011594810720145982, |
| "loss": 1.6984, |
| "step": 155 |
| }, |
| { |
| "epoch": 1.1428571428571428, |
| "grad_norm": 2.46875, |
| "learning_rate": 0.00011417391509848311, |
| "loss": 1.7018, |
| "step": 160 |
| }, |
| { |
| "epoch": 1.1785714285714286, |
| "grad_norm": 2.140625, |
| "learning_rate": 0.00011235385335099333, |
| "loss": 1.7014, |
| "step": 165 |
| }, |
| { |
| "epoch": 1.2142857142857142, |
| "grad_norm": 2.65625, |
| "learning_rate": 0.00011049095127214879, |
| "loss": 1.7539, |
| "step": 170 |
| }, |
| { |
| "epoch": 1.25, |
| "grad_norm": 2.65625, |
| "learning_rate": 0.00010858830947861153, |
| "loss": 1.7273, |
| "step": 175 |
| }, |
| { |
| "epoch": 1.2857142857142856, |
| "grad_norm": 2.375, |
| "learning_rate": 0.00010664909472987668, |
| "loss": 1.7267, |
| "step": 180 |
| }, |
| { |
| "epoch": 1.3214285714285714, |
| "grad_norm": 2.484375, |
| "learning_rate": 0.00010467653465751409, |
| "loss": 1.7098, |
| "step": 185 |
| }, |
| { |
| "epoch": 1.3571428571428572, |
| "grad_norm": 2.359375, |
| "learning_rate": 0.00010267391239309385, |
| "loss": 1.7123, |
| "step": 190 |
| }, |
| { |
| "epoch": 1.3928571428571428, |
| "grad_norm": 2.25, |
| "learning_rate": 0.00010064456110373801, |
| "loss": 1.7539, |
| "step": 195 |
| }, |
| { |
| "epoch": 1.4285714285714286, |
| "grad_norm": 2.34375, |
| "learning_rate": 9.859185844439268e-05, |
| "loss": 1.7102, |
| "step": 200 |
| }, |
| { |
| "epoch": 1.4642857142857144, |
| "grad_norm": 2.203125, |
| "learning_rate": 9.651922093605485e-05, |
| "loss": 1.6981, |
| "step": 205 |
| }, |
| { |
| "epoch": 1.5, |
| "grad_norm": 2.171875, |
| "learning_rate": 9.443009827931028e-05, |
| "loss": 1.7112, |
| "step": 210 |
| }, |
| { |
| "epoch": 1.5357142857142856, |
| "grad_norm": 2.234375, |
| "learning_rate": 9.232796761264735e-05, |
| "loss": 1.7439, |
| "step": 215 |
| }, |
| { |
| "epoch": 1.5714285714285714, |
| "grad_norm": 2.21875, |
| "learning_rate": 9.021632772510318e-05, |
| "loss": 1.7149, |
| "step": 220 |
| }, |
| { |
| "epoch": 1.6071428571428572, |
| "grad_norm": 2.109375, |
| "learning_rate": 8.809869323287461e-05, |
| "loss": 1.6947, |
| "step": 225 |
| }, |
| { |
| "epoch": 1.6428571428571428, |
| "grad_norm": 2.296875, |
| "learning_rate": 8.597858872958643e-05, |
| "loss": 1.6722, |
| "step": 230 |
| }, |
| { |
| "epoch": 1.6785714285714286, |
| "grad_norm": 2.140625, |
| "learning_rate": 8.385954291995294e-05, |
| "loss": 1.6419, |
| "step": 235 |
| }, |
| { |
| "epoch": 1.7142857142857144, |
| "grad_norm": 2.0, |
| "learning_rate": 8.174508274659743e-05, |
| "loss": 1.6508, |
| "step": 240 |
| }, |
| { |
| "epoch": 1.75, |
| "grad_norm": 2.03125, |
| "learning_rate": 7.963872751980418e-05, |
| "loss": 1.6213, |
| "step": 245 |
| }, |
| { |
| "epoch": 1.7857142857142856, |
| "grad_norm": 2.109375, |
| "learning_rate": 7.754398305997372e-05, |
| "loss": 1.6257, |
| "step": 250 |
| }, |
| { |
| "epoch": 1.8214285714285714, |
| "grad_norm": 2.109375, |
| "learning_rate": 7.546433586253086e-05, |
| "loss": 1.5915, |
| "step": 255 |
| }, |
| { |
| "epoch": 1.8571428571428572, |
| "grad_norm": 1.890625, |
| "learning_rate": 7.340324729499708e-05, |
| "loss": 1.6334, |
| "step": 260 |
| }, |
| { |
| "epoch": 1.8928571428571428, |
| "grad_norm": 1.96875, |
| "learning_rate": 7.136414783588594e-05, |
| "loss": 1.6345, |
| "step": 265 |
| }, |
| { |
| "epoch": 1.9285714285714286, |
| "grad_norm": 2.015625, |
| "learning_rate": 6.935043136501011e-05, |
| "loss": 1.6109, |
| "step": 270 |
| }, |
| { |
| "epoch": 1.9642857142857144, |
| "grad_norm": 2.09375, |
| "learning_rate": 6.736544951470336e-05, |
| "loss": 1.6274, |
| "step": 275 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 2.109375, |
| "learning_rate": 6.541250609135935e-05, |
| "loss": 1.6177, |
| "step": 280 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_loss": 1.8396857976913452, |
| "eval_runtime": 0.3556, |
| "eval_samples_per_second": 14.061, |
| "eval_steps_per_second": 14.061, |
| "step": 280 |
| } |
| ], |
| "logging_steps": 5, |
| "max_steps": 420, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 4.6551816128692224e+17, |
| "train_batch_size": 48, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
