|
{ |
|
"best_metric": 0.8307240704500979, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-5/checkpoint-864", |
|
"epoch": 9.0, |
|
"eval_steps": 500, |
|
"global_step": 864, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 4.850555896759033, |
|
"learning_rate": 0.00013535007385325417, |
|
"loss": 0.604, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7485322896281801, |
|
"eval_f1": 0.7925746569814367, |
|
"eval_loss": 0.5116264820098877, |
|
"eval_precision": 0.6744505494505495, |
|
"eval_recall": 0.9608610567514677, |
|
"eval_runtime": 25.4927, |
|
"eval_samples_per_second": 40.09, |
|
"eval_steps_per_second": 1.255, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 2.2508227825164795, |
|
"learning_rate": 0.0001184313146215974, |
|
"loss": 0.4897, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7984344422700587, |
|
"eval_f1": 0.8214904679376083, |
|
"eval_loss": 0.4436704218387604, |
|
"eval_precision": 0.7371695178849145, |
|
"eval_recall": 0.9275929549902152, |
|
"eval_runtime": 26.2196, |
|
"eval_samples_per_second": 38.979, |
|
"eval_steps_per_second": 1.22, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 4.221353530883789, |
|
"learning_rate": 0.00010151255538994063, |
|
"loss": 0.4449, |
|
"step": 288 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.812133072407045, |
|
"eval_f1": 0.8181818181818181, |
|
"eval_loss": 0.43934348225593567, |
|
"eval_precision": 0.7926605504587156, |
|
"eval_recall": 0.8454011741682974, |
|
"eval_runtime": 25.7442, |
|
"eval_samples_per_second": 39.698, |
|
"eval_steps_per_second": 1.243, |
|
"step": 288 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 8.505247116088867, |
|
"learning_rate": 8.459379615828387e-05, |
|
"loss": 0.4275, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8170254403131115, |
|
"eval_f1": 0.8257222739981361, |
|
"eval_loss": 0.41963326930999756, |
|
"eval_precision": 0.7882562277580071, |
|
"eval_recall": 0.8669275929549902, |
|
"eval_runtime": 25.8902, |
|
"eval_samples_per_second": 39.474, |
|
"eval_steps_per_second": 1.236, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 2.8876335620880127, |
|
"learning_rate": 6.767503692662709e-05, |
|
"loss": 0.4125, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.821917808219178, |
|
"eval_f1": 0.8372093023255814, |
|
"eval_loss": 0.41102567315101624, |
|
"eval_precision": 0.771004942339374, |
|
"eval_recall": 0.9158512720156555, |
|
"eval_runtime": 26.546, |
|
"eval_samples_per_second": 38.499, |
|
"eval_steps_per_second": 1.205, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 3.6481876373291016, |
|
"learning_rate": 5.075627769497032e-05, |
|
"loss": 0.4037, |
|
"step": 576 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.8199608610567515, |
|
"eval_f1": 0.8371681415929204, |
|
"eval_loss": 0.4179791808128357, |
|
"eval_precision": 0.7641357027463651, |
|
"eval_recall": 0.9256360078277887, |
|
"eval_runtime": 25.6553, |
|
"eval_samples_per_second": 39.836, |
|
"eval_steps_per_second": 1.247, |
|
"step": 576 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 4.620311260223389, |
|
"learning_rate": 3.383751846331354e-05, |
|
"loss": 0.3929, |
|
"step": 672 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.8268101761252447, |
|
"eval_f1": 0.8426666666666667, |
|
"eval_loss": 0.4127921462059021, |
|
"eval_precision": 0.7719869706840391, |
|
"eval_recall": 0.9275929549902152, |
|
"eval_runtime": 26.1034, |
|
"eval_samples_per_second": 39.152, |
|
"eval_steps_per_second": 1.226, |
|
"step": 672 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 4.286402225494385, |
|
"learning_rate": 1.691875923165677e-05, |
|
"loss": 0.3895, |
|
"step": 768 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8277886497064579, |
|
"eval_f1": 0.842857142857143, |
|
"eval_loss": 0.4042445123195648, |
|
"eval_precision": 0.7750410509031199, |
|
"eval_recall": 0.923679060665362, |
|
"eval_runtime": 26.1296, |
|
"eval_samples_per_second": 39.113, |
|
"eval_steps_per_second": 1.225, |
|
"step": 768 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"grad_norm": 2.3019790649414062, |
|
"learning_rate": 0.0, |
|
"loss": 0.3874, |
|
"step": 864 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.8307240704500979, |
|
"eval_f1": 0.843155031731641, |
|
"eval_loss": 0.4016450047492981, |
|
"eval_precision": 0.785472972972973, |
|
"eval_recall": 0.9099804305283757, |
|
"eval_runtime": 25.5652, |
|
"eval_samples_per_second": 39.976, |
|
"eval_steps_per_second": 1.252, |
|
"step": 864 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 864, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 2121256775520.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9725110110091697, |
|
"learning_rate": 0.00015226883308491095, |
|
"num_train_epochs": 9, |
|
"temperature": 30 |
|
} |
|
} |
|
|