|
{ |
|
"best_metric": 1.7788236141204834, |
|
"best_model_checkpoint": "./Sustainability_model/checkpoint-2000", |
|
"epoch": 0.9765625, |
|
"eval_steps": 100, |
|
"global_step": 2000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.01220703125, |
|
"grad_norm": 1.6068687438964844, |
|
"learning_rate": 2e-05, |
|
"loss": 2.3822, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.0244140625, |
|
"grad_norm": 2.9462766647338867, |
|
"learning_rate": 2e-05, |
|
"loss": 2.2692, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.03662109375, |
|
"grad_norm": 1.7852909564971924, |
|
"learning_rate": 2e-05, |
|
"loss": 2.1006, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.048828125, |
|
"grad_norm": 7.235644817352295, |
|
"learning_rate": 2e-05, |
|
"loss": 2.0278, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.048828125, |
|
"eval_loss": 1.9972734451293945, |
|
"eval_runtime": 558.7385, |
|
"eval_samples_per_second": 3.667, |
|
"eval_steps_per_second": 0.46, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.06103515625, |
|
"grad_norm": 2.125588893890381, |
|
"learning_rate": 2e-05, |
|
"loss": 2.022, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.0732421875, |
|
"grad_norm": 4.054937362670898, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8849, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.08544921875, |
|
"grad_norm": 2.199298858642578, |
|
"learning_rate": 2e-05, |
|
"loss": 1.9177, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.09765625, |
|
"grad_norm": 3.9646759033203125, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8583, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.09765625, |
|
"eval_loss": 1.8928931951522827, |
|
"eval_runtime": 556.4849, |
|
"eval_samples_per_second": 3.682, |
|
"eval_steps_per_second": 0.462, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.10986328125, |
|
"grad_norm": 2.1288766860961914, |
|
"learning_rate": 2e-05, |
|
"loss": 1.833, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 0.1220703125, |
|
"grad_norm": 3.614868640899658, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8706, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.13427734375, |
|
"grad_norm": 1.9845377206802368, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8807, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 0.146484375, |
|
"grad_norm": 3.452430009841919, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8816, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.146484375, |
|
"eval_loss": 1.8663687705993652, |
|
"eval_runtime": 559.6385, |
|
"eval_samples_per_second": 3.661, |
|
"eval_steps_per_second": 0.459, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.15869140625, |
|
"grad_norm": 2.014082908630371, |
|
"learning_rate": 2e-05, |
|
"loss": 1.9114, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 0.1708984375, |
|
"grad_norm": 3.840735673904419, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7894, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.18310546875, |
|
"grad_norm": 1.8957724571228027, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8793, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 0.1953125, |
|
"grad_norm": 2.8154468536376953, |
|
"learning_rate": 2e-05, |
|
"loss": 1.825, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.1953125, |
|
"eval_loss": 1.8505265712738037, |
|
"eval_runtime": 561.2097, |
|
"eval_samples_per_second": 3.651, |
|
"eval_steps_per_second": 0.458, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.20751953125, |
|
"grad_norm": 1.919839859008789, |
|
"learning_rate": 2e-05, |
|
"loss": 1.859, |
|
"step": 425 |
|
}, |
|
{ |
|
"epoch": 0.2197265625, |
|
"grad_norm": 4.224733829498291, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7288, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.23193359375, |
|
"grad_norm": 2.011308431625366, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8153, |
|
"step": 475 |
|
}, |
|
{ |
|
"epoch": 0.244140625, |
|
"grad_norm": 2.4386088848114014, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7606, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.244140625, |
|
"eval_loss": 1.8400288820266724, |
|
"eval_runtime": 556.9, |
|
"eval_samples_per_second": 3.679, |
|
"eval_steps_per_second": 0.461, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.25634765625, |
|
"grad_norm": 1.661309003829956, |
|
"learning_rate": 2e-05, |
|
"loss": 1.9004, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 0.2685546875, |
|
"grad_norm": 3.9414749145507812, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8056, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.28076171875, |
|
"grad_norm": 1.7469593286514282, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7967, |
|
"step": 575 |
|
}, |
|
{ |
|
"epoch": 0.29296875, |
|
"grad_norm": 2.9050376415252686, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8635, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.29296875, |
|
"eval_loss": 1.8328964710235596, |
|
"eval_runtime": 557.6609, |
|
"eval_samples_per_second": 3.674, |
|
"eval_steps_per_second": 0.461, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.30517578125, |
|
"grad_norm": 2.3050591945648193, |
|
"learning_rate": 2e-05, |
|
"loss": 1.879, |
|
"step": 625 |
|
}, |
|
{ |
|
"epoch": 0.3173828125, |
|
"grad_norm": 3.167156219482422, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8708, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.32958984375, |
|
"grad_norm": 1.6256564855575562, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8206, |
|
"step": 675 |
|
}, |
|
{ |
|
"epoch": 0.341796875, |
|
"grad_norm": 2.5053651332855225, |
|
"learning_rate": 2e-05, |
|
"loss": 1.773, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.341796875, |
|
"eval_loss": 1.8295789957046509, |
|
"eval_runtime": 559.9778, |
|
"eval_samples_per_second": 3.659, |
|
"eval_steps_per_second": 0.459, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.35400390625, |
|
"grad_norm": 1.832867980003357, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8656, |
|
"step": 725 |
|
}, |
|
{ |
|
"epoch": 0.3662109375, |
|
"grad_norm": 3.687462568283081, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8182, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.37841796875, |
|
"grad_norm": 1.7461413145065308, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8164, |
|
"step": 775 |
|
}, |
|
{ |
|
"epoch": 0.390625, |
|
"grad_norm": 3.033299684524536, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7928, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.390625, |
|
"eval_loss": 1.8239413499832153, |
|
"eval_runtime": 556.8543, |
|
"eval_samples_per_second": 3.68, |
|
"eval_steps_per_second": 0.462, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.40283203125, |
|
"grad_norm": 1.7098289728164673, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8807, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 0.4150390625, |
|
"grad_norm": 2.885392665863037, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7988, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.42724609375, |
|
"grad_norm": 1.851592779159546, |
|
"learning_rate": 2e-05, |
|
"loss": 1.9545, |
|
"step": 875 |
|
}, |
|
{ |
|
"epoch": 0.439453125, |
|
"grad_norm": 3.0471203327178955, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7525, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.439453125, |
|
"eval_loss": 1.8138561248779297, |
|
"eval_runtime": 555.766, |
|
"eval_samples_per_second": 3.687, |
|
"eval_steps_per_second": 0.462, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.45166015625, |
|
"grad_norm": 1.6414488554000854, |
|
"learning_rate": 2e-05, |
|
"loss": 1.811, |
|
"step": 925 |
|
}, |
|
{ |
|
"epoch": 0.4638671875, |
|
"grad_norm": 2.5925180912017822, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7496, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 0.47607421875, |
|
"grad_norm": 1.6050211191177368, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7312, |
|
"step": 975 |
|
}, |
|
{ |
|
"epoch": 0.48828125, |
|
"grad_norm": 2.859921932220459, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8117, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.48828125, |
|
"eval_loss": 1.8138936758041382, |
|
"eval_runtime": 558.8348, |
|
"eval_samples_per_second": 3.667, |
|
"eval_steps_per_second": 0.46, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.50048828125, |
|
"grad_norm": 1.8070147037506104, |
|
"learning_rate": 2e-05, |
|
"loss": 1.784, |
|
"step": 1025 |
|
}, |
|
{ |
|
"epoch": 0.5126953125, |
|
"grad_norm": 3.1732072830200195, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8634, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 0.52490234375, |
|
"grad_norm": 1.788548231124878, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8776, |
|
"step": 1075 |
|
}, |
|
{ |
|
"epoch": 0.537109375, |
|
"grad_norm": 3.278043031692505, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7439, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.537109375, |
|
"eval_loss": 1.8076274394989014, |
|
"eval_runtime": 558.6938, |
|
"eval_samples_per_second": 3.667, |
|
"eval_steps_per_second": 0.46, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.54931640625, |
|
"grad_norm": 1.5899131298065186, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7778, |
|
"step": 1125 |
|
}, |
|
{ |
|
"epoch": 0.5615234375, |
|
"grad_norm": 2.8870561122894287, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7076, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 0.57373046875, |
|
"grad_norm": 1.869402527809143, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8059, |
|
"step": 1175 |
|
}, |
|
{ |
|
"epoch": 0.5859375, |
|
"grad_norm": 3.1489057540893555, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7877, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.5859375, |
|
"eval_loss": 1.8044580221176147, |
|
"eval_runtime": 558.1822, |
|
"eval_samples_per_second": 3.671, |
|
"eval_steps_per_second": 0.46, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.59814453125, |
|
"grad_norm": 1.7333471775054932, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8707, |
|
"step": 1225 |
|
}, |
|
{ |
|
"epoch": 0.6103515625, |
|
"grad_norm": 2.4759361743927, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8181, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 0.62255859375, |
|
"grad_norm": 1.5844708681106567, |
|
"learning_rate": 2e-05, |
|
"loss": 1.75, |
|
"step": 1275 |
|
}, |
|
{ |
|
"epoch": 0.634765625, |
|
"grad_norm": 3.089168071746826, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7684, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.634765625, |
|
"eval_loss": 1.799038052558899, |
|
"eval_runtime": 560.26, |
|
"eval_samples_per_second": 3.657, |
|
"eval_steps_per_second": 0.459, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.64697265625, |
|
"grad_norm": 1.7920058965682983, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8733, |
|
"step": 1325 |
|
}, |
|
{ |
|
"epoch": 0.6591796875, |
|
"grad_norm": 2.8308629989624023, |
|
"learning_rate": 2e-05, |
|
"loss": 1.796, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 0.67138671875, |
|
"grad_norm": 1.7894172668457031, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8136, |
|
"step": 1375 |
|
}, |
|
{ |
|
"epoch": 0.68359375, |
|
"grad_norm": 2.4572231769561768, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7446, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.68359375, |
|
"eval_loss": 1.7971055507659912, |
|
"eval_runtime": 557.4223, |
|
"eval_samples_per_second": 3.676, |
|
"eval_steps_per_second": 0.461, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.69580078125, |
|
"grad_norm": 1.9371016025543213, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8745, |
|
"step": 1425 |
|
}, |
|
{ |
|
"epoch": 0.7080078125, |
|
"grad_norm": 2.6103124618530273, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8161, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 0.72021484375, |
|
"grad_norm": 1.9414174556732178, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7821, |
|
"step": 1475 |
|
}, |
|
{ |
|
"epoch": 0.732421875, |
|
"grad_norm": 2.5814948081970215, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7906, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.732421875, |
|
"eval_loss": 1.7981668710708618, |
|
"eval_runtime": 558.1699, |
|
"eval_samples_per_second": 3.671, |
|
"eval_steps_per_second": 0.46, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.74462890625, |
|
"grad_norm": 1.8409160375595093, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8324, |
|
"step": 1525 |
|
}, |
|
{ |
|
"epoch": 0.7568359375, |
|
"grad_norm": 3.2258872985839844, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7808, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 0.76904296875, |
|
"grad_norm": 1.7108904123306274, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8532, |
|
"step": 1575 |
|
}, |
|
{ |
|
"epoch": 0.78125, |
|
"grad_norm": 2.734626531600952, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7532, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.78125, |
|
"eval_loss": 1.7900142669677734, |
|
"eval_runtime": 556.0078, |
|
"eval_samples_per_second": 3.685, |
|
"eval_steps_per_second": 0.462, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.79345703125, |
|
"grad_norm": 1.509756326675415, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8452, |
|
"step": 1625 |
|
}, |
|
{ |
|
"epoch": 0.8056640625, |
|
"grad_norm": 2.925522804260254, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7518, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 0.81787109375, |
|
"grad_norm": 1.6526622772216797, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8258, |
|
"step": 1675 |
|
}, |
|
{ |
|
"epoch": 0.830078125, |
|
"grad_norm": 2.6019341945648193, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7076, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 0.830078125, |
|
"eval_loss": 1.788050889968872, |
|
"eval_runtime": 559.141, |
|
"eval_samples_per_second": 3.665, |
|
"eval_steps_per_second": 0.46, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 0.84228515625, |
|
"grad_norm": 1.7243990898132324, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8014, |
|
"step": 1725 |
|
}, |
|
{ |
|
"epoch": 0.8544921875, |
|
"grad_norm": 2.976571559906006, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7137, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 0.86669921875, |
|
"grad_norm": 1.5606143474578857, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8229, |
|
"step": 1775 |
|
}, |
|
{ |
|
"epoch": 0.87890625, |
|
"grad_norm": 2.303173780441284, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8016, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 0.87890625, |
|
"eval_loss": 1.784562110900879, |
|
"eval_runtime": 558.6515, |
|
"eval_samples_per_second": 3.668, |
|
"eval_steps_per_second": 0.46, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 0.89111328125, |
|
"grad_norm": 1.7488081455230713, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7196, |
|
"step": 1825 |
|
}, |
|
{ |
|
"epoch": 0.9033203125, |
|
"grad_norm": 2.4788448810577393, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7941, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 0.91552734375, |
|
"grad_norm": 1.5106720924377441, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8584, |
|
"step": 1875 |
|
}, |
|
{ |
|
"epoch": 0.927734375, |
|
"grad_norm": 2.238421678543091, |
|
"learning_rate": 2e-05, |
|
"loss": 1.6856, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 0.927734375, |
|
"eval_loss": 1.7807437181472778, |
|
"eval_runtime": 557.7297, |
|
"eval_samples_per_second": 3.674, |
|
"eval_steps_per_second": 0.461, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 0.93994140625, |
|
"grad_norm": 1.5449031591415405, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7737, |
|
"step": 1925 |
|
}, |
|
{ |
|
"epoch": 0.9521484375, |
|
"grad_norm": 2.7735748291015625, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7397, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 0.96435546875, |
|
"grad_norm": 1.6932679414749146, |
|
"learning_rate": 2e-05, |
|
"loss": 1.8728, |
|
"step": 1975 |
|
}, |
|
{ |
|
"epoch": 0.9765625, |
|
"grad_norm": 2.5551226139068604, |
|
"learning_rate": 2e-05, |
|
"loss": 1.7274, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.9765625, |
|
"eval_loss": 1.7788236141204834, |
|
"eval_runtime": 559.018, |
|
"eval_samples_per_second": 3.665, |
|
"eval_steps_per_second": 0.46, |
|
"step": 2000 |
|
} |
|
], |
|
"logging_steps": 25, |
|
"max_steps": 2048, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 6, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 0 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 6.806352400986931e+16, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|