|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 9.84251968503937, |
|
"global_step": 17500, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 1.943757030371204e-05, |
|
"loss": 2.7683, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 1.8875140607424075e-05, |
|
"loss": 2.7344, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 1.831271091113611e-05, |
|
"loss": 2.7195, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 2.712266206741333, |
|
"eval_runtime": 91.7259, |
|
"eval_samples_per_second": 174.433, |
|
"eval_steps_per_second": 10.902, |
|
"step": 1778 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 1.7750281214848145e-05, |
|
"loss": 2.6796, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 1.7187851518560182e-05, |
|
"loss": 2.6488, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 1.6625421822272215e-05, |
|
"loss": 2.6372, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.97, |
|
"learning_rate": 1.6062992125984255e-05, |
|
"loss": 2.6415, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 2.652708053588867, |
|
"eval_runtime": 91.7276, |
|
"eval_samples_per_second": 174.43, |
|
"eval_steps_per_second": 10.902, |
|
"step": 3556 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"learning_rate": 1.550056242969629e-05, |
|
"loss": 2.5601, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 1.4938132733408325e-05, |
|
"loss": 2.5407, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 1.437570303712036e-05, |
|
"loss": 2.5308, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 2.6422665119171143, |
|
"eval_runtime": 91.7218, |
|
"eval_samples_per_second": 174.441, |
|
"eval_steps_per_second": 10.903, |
|
"step": 5334 |
|
}, |
|
{ |
|
"epoch": 3.09, |
|
"learning_rate": 1.3813273340832395e-05, |
|
"loss": 2.4873, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 3.37, |
|
"learning_rate": 1.3250843644544434e-05, |
|
"loss": 2.3694, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 3.66, |
|
"learning_rate": 1.2688413948256469e-05, |
|
"loss": 2.3697, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 3.94, |
|
"learning_rate": 1.2125984251968505e-05, |
|
"loss": 2.3628, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 2.685481548309326, |
|
"eval_runtime": 91.7025, |
|
"eval_samples_per_second": 174.477, |
|
"eval_steps_per_second": 10.905, |
|
"step": 7112 |
|
}, |
|
{ |
|
"epoch": 4.22, |
|
"learning_rate": 1.156355455568054e-05, |
|
"loss": 2.1747, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 1.1001124859392579e-05, |
|
"loss": 2.1037, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 4.78, |
|
"learning_rate": 1.0438695163104614e-05, |
|
"loss": 2.1293, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 2.817112445831299, |
|
"eval_runtime": 91.7137, |
|
"eval_samples_per_second": 174.456, |
|
"eval_steps_per_second": 10.904, |
|
"step": 8890 |
|
}, |
|
{ |
|
"epoch": 5.06, |
|
"learning_rate": 9.876265466816649e-06, |
|
"loss": 2.0307, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 5.34, |
|
"learning_rate": 9.313835770528684e-06, |
|
"loss": 1.7546, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 5.62, |
|
"learning_rate": 8.75140607424072e-06, |
|
"loss": 1.752, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 5.91, |
|
"learning_rate": 8.188976377952757e-06, |
|
"loss": 1.7463, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_loss": 3.0516531467437744, |
|
"eval_runtime": 91.7177, |
|
"eval_samples_per_second": 174.448, |
|
"eval_steps_per_second": 10.903, |
|
"step": 10668 |
|
}, |
|
{ |
|
"epoch": 6.19, |
|
"learning_rate": 7.626546681664793e-06, |
|
"loss": 1.4932, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 6.47, |
|
"learning_rate": 7.064116985376829e-06, |
|
"loss": 1.3659, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 6.75, |
|
"learning_rate": 6.501687289088865e-06, |
|
"loss": 1.3485, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_loss": 3.350566864013672, |
|
"eval_runtime": 91.704, |
|
"eval_samples_per_second": 174.474, |
|
"eval_steps_per_second": 10.905, |
|
"step": 12446 |
|
}, |
|
{ |
|
"epoch": 7.03, |
|
"learning_rate": 5.9392575928009e-06, |
|
"loss": 1.3203, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 7.31, |
|
"learning_rate": 5.376827896512936e-06, |
|
"loss": 1.0176, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 7.59, |
|
"learning_rate": 4.814398200224972e-06, |
|
"loss": 0.9999, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 7.87, |
|
"learning_rate": 4.251968503937008e-06, |
|
"loss": 0.9889, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 3.6804659366607666, |
|
"eval_runtime": 91.7068, |
|
"eval_samples_per_second": 174.469, |
|
"eval_steps_per_second": 10.904, |
|
"step": 14224 |
|
}, |
|
{ |
|
"epoch": 8.16, |
|
"learning_rate": 3.689538807649044e-06, |
|
"loss": 0.8533, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 8.44, |
|
"learning_rate": 3.12710911136108e-06, |
|
"loss": 0.7315, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 8.72, |
|
"learning_rate": 2.5646794150731156e-06, |
|
"loss": 0.7194, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 2.002249718785152e-06, |
|
"loss": 0.7069, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_loss": 3.918808698654175, |
|
"eval_runtime": 91.7922, |
|
"eval_samples_per_second": 174.307, |
|
"eval_steps_per_second": 10.894, |
|
"step": 16002 |
|
}, |
|
{ |
|
"epoch": 9.28, |
|
"learning_rate": 1.4398200224971882e-06, |
|
"loss": 0.5375, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 9.56, |
|
"learning_rate": 8.77390326209224e-07, |
|
"loss": 0.533, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 9.84, |
|
"learning_rate": 3.149606299212599e-07, |
|
"loss": 0.5276, |
|
"step": 17500 |
|
} |
|
], |
|
"max_steps": 17780, |
|
"num_train_epochs": 10, |
|
"total_flos": 9948470041336704.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|