|
{ |
|
"best_metric": 0.7326732673267327, |
|
"best_model_checkpoint": "distilhubert-finetuned-not-a-word2/run-1/checkpoint-16", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 112, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.31, |
|
"grad_norm": 0.8568354845046997, |
|
"learning_rate": 2.8711716200450114e-06, |
|
"loss": 0.6977, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"grad_norm": 0.7982807755470276, |
|
"learning_rate": 5.742343240090023e-06, |
|
"loss": 0.6961, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"grad_norm": 0.32968151569366455, |
|
"learning_rate": 8.613514860135034e-06, |
|
"loss": 0.6801, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.6840133666992188, |
|
"eval_runtime": 1.3445, |
|
"eval_samples_per_second": 47.602, |
|
"eval_steps_per_second": 5.95, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"grad_norm": 1.6010539531707764, |
|
"learning_rate": 8.932533929028925e-06, |
|
"loss": 0.6633, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"grad_norm": 0.5679539442062378, |
|
"learning_rate": 8.613514860135034e-06, |
|
"loss": 0.6444, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"grad_norm": 0.4244280755519867, |
|
"learning_rate": 8.294495791241145e-06, |
|
"loss": 0.6419, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.6817398071289062, |
|
"eval_runtime": 1.3677, |
|
"eval_samples_per_second": 46.795, |
|
"eval_steps_per_second": 5.849, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"grad_norm": 1.0901663303375244, |
|
"learning_rate": 7.975476722347254e-06, |
|
"loss": 0.6205, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"grad_norm": 0.7114349603652954, |
|
"learning_rate": 7.656457653453365e-06, |
|
"loss": 0.6425, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"grad_norm": 1.0210336446762085, |
|
"learning_rate": 7.337438584559474e-06, |
|
"loss": 0.5994, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.6920928955078125, |
|
"eval_runtime": 1.3659, |
|
"eval_samples_per_second": 46.855, |
|
"eval_steps_per_second": 5.857, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"grad_norm": 0.5598271489143372, |
|
"learning_rate": 7.018419515665583e-06, |
|
"loss": 0.5898, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 3.44, |
|
"grad_norm": 0.8800140023231506, |
|
"learning_rate": 6.6994004467716935e-06, |
|
"loss": 0.5947, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"grad_norm": 0.5016202330589294, |
|
"learning_rate": 6.3803813778778036e-06, |
|
"loss": 0.599, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.7060089111328125, |
|
"eval_runtime": 1.3676, |
|
"eval_samples_per_second": 46.796, |
|
"eval_steps_per_second": 5.849, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 4.06, |
|
"grad_norm": 0.6695349812507629, |
|
"learning_rate": 6.061362308983913e-06, |
|
"loss": 0.6271, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 4.38, |
|
"grad_norm": 0.7742494344711304, |
|
"learning_rate": 5.742343240090023e-06, |
|
"loss": 0.5761, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 4.69, |
|
"grad_norm": 0.8342304229736328, |
|
"learning_rate": 5.423324171196133e-06, |
|
"loss": 0.5882, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.9266335964202881, |
|
"learning_rate": 5.104305102302243e-06, |
|
"loss": 0.6051, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.7071685791015625, |
|
"eval_runtime": 1.3778, |
|
"eval_samples_per_second": 46.45, |
|
"eval_steps_per_second": 5.806, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 5.31, |
|
"grad_norm": 0.7613723874092102, |
|
"learning_rate": 4.785286033408353e-06, |
|
"loss": 0.604, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 5.62, |
|
"grad_norm": 0.4511677920818329, |
|
"learning_rate": 4.466266964514462e-06, |
|
"loss": 0.5968, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 5.94, |
|
"grad_norm": 0.5487041473388672, |
|
"learning_rate": 4.147247895620572e-06, |
|
"loss": 0.5792, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.7030601501464844, |
|
"eval_runtime": 1.3948, |
|
"eval_samples_per_second": 45.886, |
|
"eval_steps_per_second": 5.736, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"grad_norm": 0.8304491639137268, |
|
"learning_rate": 3.8282288267266825e-06, |
|
"loss": 0.5467, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 6.56, |
|
"grad_norm": 0.4213624894618988, |
|
"learning_rate": 3.5092097578327917e-06, |
|
"loss": 0.6636, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 6.88, |
|
"grad_norm": 0.8720755577087402, |
|
"learning_rate": 3.1901906889389018e-06, |
|
"loss": 0.5839, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_f1": 0.7326732673267327, |
|
"eval_loss": 0.70111083984375, |
|
"eval_runtime": 1.3628, |
|
"eval_samples_per_second": 46.964, |
|
"eval_steps_per_second": 5.87, |
|
"step": 112 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 160, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 6207811312717728.0, |
|
"train_batch_size": 12, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 9.187749184144037e-06, |
|
"per_device_train_batch_size": 12 |
|
} |
|
} |
|
|