| { | |
| "best_metric": 74.34789884230815, | |
| "best_model_checkpoint": "/data/jcanete/all_results/mlqa/albeto_xxlarge/epochs_2_bs_16_lr_5e-6/checkpoint-7800", | |
| "epoch": 1.9999025056059276, | |
| "global_step": 10256, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.06, | |
| "eval_exact_match": 38.4, | |
| "eval_f1": 63.6410695647597, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 4.757702808112325e-06, | |
| "loss": 2.4731, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_exact_match": 38.4, | |
| "eval_f1": 64.544213013251, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_exact_match": 40.8, | |
| "eval_f1": 67.22901394580703, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 4.51443057722309e-06, | |
| "loss": 1.948, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_exact_match": 43.8, | |
| "eval_f1": 68.61469074139023, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 4.270670826833074e-06, | |
| "loss": 1.8, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_exact_match": 41.4, | |
| "eval_f1": 67.90524053632915, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "eval_exact_match": 44.0, | |
| "eval_f1": 70.24463093067978, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 4.0273985959438385e-06, | |
| "loss": 1.7607, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_exact_match": 44.8, | |
| "eval_f1": 69.83718821214595, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "eval_exact_match": 44.4, | |
| "eval_f1": 70.77459313733458, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.7836388455538226e-06, | |
| "loss": 1.7102, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_exact_match": 45.6, | |
| "eval_f1": 71.38763960651633, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 3.5398790951638067e-06, | |
| "loss": 1.7394, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_exact_match": 44.0, | |
| "eval_f1": 69.412900377769, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "eval_exact_match": 47.0, | |
| "eval_f1": 72.19159641530743, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 3.2961193447737912e-06, | |
| "loss": 1.6818, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "eval_exact_match": 44.6, | |
| "eval_f1": 70.72571293515003, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "eval_exact_match": 46.0, | |
| "eval_f1": 71.9410006201964, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 3.0523595943837758e-06, | |
| "loss": 1.6872, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "eval_exact_match": 44.6, | |
| "eval_f1": 71.3955318328154, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 2.80859984399376e-06, | |
| "loss": 1.6612, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_exact_match": 46.8, | |
| "eval_f1": 71.87883155952227, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_exact_match": 48.0, | |
| "eval_f1": 72.41927545450808, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 2.5653276131045246e-06, | |
| "loss": 1.6439, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_exact_match": 46.6, | |
| "eval_f1": 73.06916789937951, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "eval_exact_match": 48.4, | |
| "eval_f1": 73.98548384439948, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 2.3215678627145087e-06, | |
| "loss": 1.4243, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "eval_exact_match": 47.2, | |
| "eval_f1": 72.57079556834765, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 2.0778081123244933e-06, | |
| "loss": 1.3584, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "eval_exact_match": 48.8, | |
| "eval_f1": 73.08780082573215, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "eval_exact_match": 46.4, | |
| "eval_f1": 71.91085486551921, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "learning_rate": 1.8340483619344776e-06, | |
| "loss": 1.3542, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "eval_exact_match": 47.2, | |
| "eval_f1": 72.44435482394755, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "eval_exact_match": 48.0, | |
| "eval_f1": 72.41674068329031, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "learning_rate": 1.590288611544462e-06, | |
| "loss": 1.327, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "eval_exact_match": 47.8, | |
| "eval_f1": 72.90594893687623, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 1.3465288611544464e-06, | |
| "loss": 1.3348, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "eval_exact_match": 48.4, | |
| "eval_f1": 72.90760899561369, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "eval_exact_match": 50.6, | |
| "eval_f1": 74.34789884230815, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 1.1027691107644305e-06, | |
| "loss": 1.3464, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "eval_exact_match": 48.6, | |
| "eval_f1": 72.45736285926266, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "eval_exact_match": 49.2, | |
| "eval_f1": 72.37190764197561, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 8.59009360374415e-07, | |
| "loss": 1.3301, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "eval_exact_match": 48.8, | |
| "eval_f1": 73.07938587006336, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 6.152496099843995e-07, | |
| "loss": 1.3533, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_exact_match": 48.2, | |
| "eval_f1": 73.30312499533368, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "eval_exact_match": 48.6, | |
| "eval_f1": 73.24347351849956, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 3.7197737909516383e-07, | |
| "loss": 1.3472, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "eval_exact_match": 48.4, | |
| "eval_f1": 73.49200531066305, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "eval_exact_match": 48.8, | |
| "eval_f1": 73.5158314844892, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 1.2870514820592826e-07, | |
| "loss": 1.3221, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "eval_exact_match": 48.8, | |
| "eval_f1": 73.76578660183563, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 10256, | |
| "total_flos": 6.233158034379648e+16, | |
| "train_loss": 1.573529590124645, | |
| "train_runtime": 24730.4391, | |
| "train_samples_per_second": 6.636, | |
| "train_steps_per_second": 0.415 | |
| } | |
| ], | |
| "max_steps": 10256, | |
| "num_train_epochs": 2, | |
| "total_flos": 6.233158034379648e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |