|
{ |
|
"best_metric": 1.5946060419082642, |
|
"best_model_checkpoint": "./outputs/checkpoint-1900", |
|
"epoch": 1.3846994535519126, |
|
"eval_steps": 100, |
|
"global_step": 1900, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 2.315, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"eval_loss": 2.160651922225952, |
|
"eval_runtime": 144.1197, |
|
"eval_samples_per_second": 43.533, |
|
"eval_steps_per_second": 5.447, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0002, |
|
"loss": 2.1091, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"eval_loss": 2.0636215209960938, |
|
"eval_runtime": 143.9553, |
|
"eval_samples_per_second": 43.583, |
|
"eval_steps_per_second": 5.453, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.0002, |
|
"loss": 2.0344, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"eval_loss": 2.0027897357940674, |
|
"eval_runtime": 144.1134, |
|
"eval_samples_per_second": 43.535, |
|
"eval_steps_per_second": 5.447, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.0002, |
|
"loss": 1.9806, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"eval_loss": 1.9537049531936646, |
|
"eval_runtime": 144.1171, |
|
"eval_samples_per_second": 43.534, |
|
"eval_steps_per_second": 5.447, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.0002, |
|
"loss": 1.9262, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"eval_loss": 1.9101046323776245, |
|
"eval_runtime": 143.9719, |
|
"eval_samples_per_second": 43.578, |
|
"eval_steps_per_second": 5.452, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0002, |
|
"loss": 1.8971, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"eval_loss": 1.8801190853118896, |
|
"eval_runtime": 143.9079, |
|
"eval_samples_per_second": 43.597, |
|
"eval_steps_per_second": 5.455, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.0002, |
|
"loss": 1.8565, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"eval_loss": 1.8463259935379028, |
|
"eval_runtime": 143.8032, |
|
"eval_samples_per_second": 43.629, |
|
"eval_steps_per_second": 5.459, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.0002, |
|
"loss": 1.8327, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"eval_loss": 1.8173062801361084, |
|
"eval_runtime": 143.9045, |
|
"eval_samples_per_second": 43.598, |
|
"eval_steps_per_second": 5.455, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7952, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"eval_loss": 1.7927803993225098, |
|
"eval_runtime": 143.8647, |
|
"eval_samples_per_second": 43.61, |
|
"eval_steps_per_second": 5.457, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7792, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"eval_loss": 1.7664344310760498, |
|
"eval_runtime": 143.816, |
|
"eval_samples_per_second": 43.625, |
|
"eval_steps_per_second": 5.458, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7588, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"eval_loss": 1.7422090768814087, |
|
"eval_runtime": 143.8688, |
|
"eval_samples_per_second": 43.609, |
|
"eval_steps_per_second": 5.456, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7204, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"eval_loss": 1.72101891040802, |
|
"eval_runtime": 143.8632, |
|
"eval_samples_per_second": 43.611, |
|
"eval_steps_per_second": 5.457, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7282, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"eval_loss": 1.6993989944458008, |
|
"eval_runtime": 143.9159, |
|
"eval_samples_per_second": 43.595, |
|
"eval_steps_per_second": 5.455, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7077, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"eval_loss": 1.6939107179641724, |
|
"eval_runtime": 132.967, |
|
"eval_samples_per_second": 47.185, |
|
"eval_steps_per_second": 5.904, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6649, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"eval_loss": 1.6719050407409668, |
|
"eval_runtime": 132.9346, |
|
"eval_samples_per_second": 47.196, |
|
"eval_steps_per_second": 5.905, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6428, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"eval_loss": 1.649336576461792, |
|
"eval_runtime": 132.9323, |
|
"eval_samples_per_second": 47.197, |
|
"eval_steps_per_second": 5.905, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6362, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"eval_loss": 1.629374623298645, |
|
"eval_runtime": 132.9442, |
|
"eval_samples_per_second": 47.193, |
|
"eval_steps_per_second": 5.905, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6043, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"eval_loss": 1.6119710206985474, |
|
"eval_runtime": 132.947, |
|
"eval_samples_per_second": 47.192, |
|
"eval_steps_per_second": 5.905, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"learning_rate": 0.0002, |
|
"loss": 1.57, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"eval_loss": 1.5946060419082642, |
|
"eval_runtime": 133.2291, |
|
"eval_samples_per_second": 47.092, |
|
"eval_steps_per_second": 5.892, |
|
"step": 1900 |
|
} |
|
], |
|
"logging_steps": 100, |
|
"max_steps": 4116, |
|
"num_train_epochs": 3, |
|
"save_steps": 100, |
|
"total_flos": 1.131308551955497e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|