|
{ |
|
"best_metric": 0.703677773475647, |
|
"best_model_checkpoint": "./qlora-out/checkpoint-7000", |
|
"epoch": 0.260989523134857, |
|
"global_step": 7000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.00019999938245325715, |
|
"loss": 0.9023, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.00019999724773356797, |
|
"loss": 0.8027, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0001999935882494411, |
|
"loss": 0.8041, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.00019998840405667672, |
|
"loss": 0.7944, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.00019998169523432365, |
|
"loss": 0.81, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0001999734618846785, |
|
"loss": 0.7855, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.00019996370413328385, |
|
"loss": 0.7849, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.00019995242212892653, |
|
"loss": 0.7564, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.00019993961604363532, |
|
"loss": 0.7724, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.00019992528607267815, |
|
"loss": 0.7308, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_loss": 0.7677998542785645, |
|
"eval_runtime": 1774.3517, |
|
"eval_samples_per_second": 0.305, |
|
"eval_steps_per_second": 0.305, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0001999094324345594, |
|
"loss": 0.7844, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.00019989205537101633, |
|
"loss": 0.7668, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.00019987315514701553, |
|
"loss": 0.7727, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.00019985273205074878, |
|
"loss": 0.7467, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.00019983078639362883, |
|
"loss": 0.7516, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.00019980731851028445, |
|
"loss": 0.7267, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0001997823287585554, |
|
"loss": 0.7632, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.000199755817519487, |
|
"loss": 0.7392, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.00019972778519732436, |
|
"loss": 0.7528, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0001996982322195061, |
|
"loss": 0.725, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"eval_loss": 0.7452704310417175, |
|
"eval_runtime": 1787.7554, |
|
"eval_samples_per_second": 0.303, |
|
"eval_steps_per_second": 0.303, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.00019966715903665795, |
|
"loss": 0.7234, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.00019963456612258576, |
|
"loss": 0.754, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00019960045397426841, |
|
"loss": 0.7856, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00019956482311185006, |
|
"loss": 0.7387, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00019952767407863245, |
|
"loss": 0.7309, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.00019948900744106633, |
|
"loss": 0.7232, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.00019944882378874316, |
|
"loss": 0.7406, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0001994071237343858, |
|
"loss": 0.7166, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00019936390791383936, |
|
"loss": 0.7308, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00019931917698606143, |
|
"loss": 0.7288, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"eval_loss": 0.7343490123748779, |
|
"eval_runtime": 1770.9966, |
|
"eval_samples_per_second": 0.306, |
|
"eval_steps_per_second": 0.306, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00019927293163311206, |
|
"loss": 0.7236, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00019922517256014337, |
|
"loss": 0.716, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00019917590049538874, |
|
"loss": 0.7564, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.00019912511619015177, |
|
"loss": 0.7082, |
|
"step": 3400 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.00019907282041879484, |
|
"loss": 0.7103, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.00019901901397872715, |
|
"loss": 0.7457, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.0001989636976903928, |
|
"loss": 0.7076, |
|
"step": 3700 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.0001989068723972581, |
|
"loss": 0.7217, |
|
"step": 3800 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00019884853896579873, |
|
"loss": 0.7175, |
|
"step": 3900 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0001987886982854866, |
|
"loss": 0.7083, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"eval_loss": 0.726176917552948, |
|
"eval_runtime": 1765.3933, |
|
"eval_samples_per_second": 0.307, |
|
"eval_steps_per_second": 0.307, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00019872735126877622, |
|
"loss": 0.7228, |
|
"step": 4100 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.0001986644988510909, |
|
"loss": 0.7133, |
|
"step": 4200 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.00019860014199080822, |
|
"loss": 0.7243, |
|
"step": 4300 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.00019853428166924576, |
|
"loss": 0.6929, |
|
"step": 4400 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 0.00019846691889064593, |
|
"loss": 0.7392, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 0.0001983980546821607, |
|
"loss": 0.7247, |
|
"step": 4600 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.0001983276900938359, |
|
"loss": 0.7258, |
|
"step": 4700 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.00019825582619859532, |
|
"loss": 0.7197, |
|
"step": 4800 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.0001981824640922242, |
|
"loss": 0.6906, |
|
"step": 4900 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.00019810760489335266, |
|
"loss": 0.7274, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"eval_loss": 0.7171670794487, |
|
"eval_runtime": 1812.7597, |
|
"eval_samples_per_second": 0.299, |
|
"eval_steps_per_second": 0.299, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.0001980312497434385, |
|
"loss": 0.7105, |
|
"step": 5100 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.00019795339980675002, |
|
"loss": 0.7091, |
|
"step": 5200 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.00019787405627034804, |
|
"loss": 0.7102, |
|
"step": 5300 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.0001977932203440678, |
|
"loss": 0.7314, |
|
"step": 5400 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00019771089326050075, |
|
"loss": 0.6945, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.0001976270762749755, |
|
"loss": 0.7048, |
|
"step": 5600 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00019754177066553882, |
|
"loss": 0.6963, |
|
"step": 5700 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.00019745497773293613, |
|
"loss": 0.711, |
|
"step": 5800 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.0001973666988005916, |
|
"loss": 0.7017, |
|
"step": 5900 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.00019727693521458806, |
|
"loss": 0.7287, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"eval_loss": 0.710155725479126, |
|
"eval_runtime": 1786.7467, |
|
"eval_samples_per_second": 0.303, |
|
"eval_steps_per_second": 0.303, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.00019718568834364638, |
|
"loss": 0.6894, |
|
"step": 6100 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.00019709295957910476, |
|
"loss": 0.7061, |
|
"step": 6200 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.00019699875033489728, |
|
"loss": 0.7063, |
|
"step": 6300 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00019690306204753254, |
|
"loss": 0.6872, |
|
"step": 6400 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.0001968058961760717, |
|
"loss": 0.7095, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.00019670725420210618, |
|
"loss": 0.695, |
|
"step": 6600 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.0001966071376297351, |
|
"loss": 0.674, |
|
"step": 6700 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.00019650554798554236, |
|
"loss": 0.7225, |
|
"step": 6800 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.00019640248681857342, |
|
"loss": 0.6845, |
|
"step": 6900 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.00019629795570031149, |
|
"loss": 0.6891, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"eval_loss": 0.703677773475647, |
|
"eval_runtime": 1767.3593, |
|
"eval_samples_per_second": 0.307, |
|
"eval_steps_per_second": 0.307, |
|
"step": 7000 |
|
} |
|
], |
|
"max_steps": 80463, |
|
"num_train_epochs": 3, |
|
"total_flos": 1.962228951137157e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|