|
{ |
|
"best_metric": 1.515953540802002, |
|
"best_model_checkpoint": "./outputs/checkpoint-1600", |
|
"epoch": 1.1657559198542806, |
|
"eval_steps": 100, |
|
"global_step": 1600, |
|
"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": 2.182, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"eval_loss": 2.0125839710235596, |
|
"eval_runtime": 144.1418, |
|
"eval_samples_per_second": 43.527, |
|
"eval_steps_per_second": 5.446, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0002, |
|
"loss": 1.9626, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"eval_loss": 1.9195271730422974, |
|
"eval_runtime": 144.2253, |
|
"eval_samples_per_second": 43.501, |
|
"eval_steps_per_second": 5.443, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.0002, |
|
"loss": 1.8881, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"eval_loss": 1.858821988105774, |
|
"eval_runtime": 144.0313, |
|
"eval_samples_per_second": 43.56, |
|
"eval_steps_per_second": 5.45, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.0002, |
|
"loss": 1.8367, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"eval_loss": 1.8125503063201904, |
|
"eval_runtime": 143.9861, |
|
"eval_samples_per_second": 43.574, |
|
"eval_steps_per_second": 5.452, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.0002, |
|
"loss": 1.785, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"eval_loss": 1.7720445394515991, |
|
"eval_runtime": 144.0061, |
|
"eval_samples_per_second": 43.568, |
|
"eval_steps_per_second": 5.451, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7562, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"eval_loss": 1.7424511909484863, |
|
"eval_runtime": 144.0245, |
|
"eval_samples_per_second": 43.562, |
|
"eval_steps_per_second": 5.45, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.0002, |
|
"loss": 1.7176, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"eval_loss": 1.7112771272659302, |
|
"eval_runtime": 144.2204, |
|
"eval_samples_per_second": 43.503, |
|
"eval_steps_per_second": 5.443, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6969, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"eval_loss": 1.6823335886001587, |
|
"eval_runtime": 144.0134, |
|
"eval_samples_per_second": 43.565, |
|
"eval_steps_per_second": 5.451, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6619, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"eval_loss": 1.6567240953445435, |
|
"eval_runtime": 144.0655, |
|
"eval_samples_per_second": 43.55, |
|
"eval_steps_per_second": 5.449, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6469, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"eval_loss": 1.6352009773254395, |
|
"eval_runtime": 144.0664, |
|
"eval_samples_per_second": 43.549, |
|
"eval_steps_per_second": 5.449, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6461, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"eval_loss": 1.6240431070327759, |
|
"eval_runtime": 293.5989, |
|
"eval_samples_per_second": 21.369, |
|
"eval_steps_per_second": 2.674, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.0002, |
|
"loss": 1.5992, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"eval_loss": 1.5974311828613281, |
|
"eval_runtime": 291.7, |
|
"eval_samples_per_second": 21.508, |
|
"eval_steps_per_second": 2.691, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.0002, |
|
"loss": 1.6021, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"eval_loss": 1.5751127004623413, |
|
"eval_runtime": 289.9524, |
|
"eval_samples_per_second": 21.638, |
|
"eval_steps_per_second": 2.707, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.0002, |
|
"loss": 1.5538, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"eval_loss": 1.5539450645446777, |
|
"eval_runtime": 287.8748, |
|
"eval_samples_per_second": 21.794, |
|
"eval_steps_per_second": 2.727, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0002, |
|
"loss": 1.5249, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"eval_loss": 1.5348094701766968, |
|
"eval_runtime": 287.891, |
|
"eval_samples_per_second": 21.793, |
|
"eval_steps_per_second": 2.727, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002, |
|
"loss": 1.506, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"eval_loss": 1.515953540802002, |
|
"eval_runtime": 289.836, |
|
"eval_samples_per_second": 21.647, |
|
"eval_steps_per_second": 2.708, |
|
"step": 1600 |
|
} |
|
], |
|
"logging_steps": 100, |
|
"max_steps": 4116, |
|
"num_train_epochs": 3, |
|
"save_steps": 100, |
|
"total_flos": 9.539236838063309e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|