|
{ |
|
"best_metric": 0.6903626918792725, |
|
"best_model_checkpoint": "tinybert_train_book_v2_rte/checkpoint-20", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 70, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.6140649914741516, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.7078, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5415162454873647, |
|
"eval_loss": 0.6915190815925598, |
|
"eval_runtime": 0.0896, |
|
"eval_samples_per_second": 3092.148, |
|
"eval_steps_per_second": 22.326, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.6355451941490173, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.6876, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.51985559566787, |
|
"eval_loss": 0.6903626918792725, |
|
"eval_runtime": 0.1038, |
|
"eval_samples_per_second": 2669.849, |
|
"eval_steps_per_second": 19.277, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.6491702198982239, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.6673, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5487364620938628, |
|
"eval_loss": 0.690405011177063, |
|
"eval_runtime": 0.1021, |
|
"eval_samples_per_second": 2714.24, |
|
"eval_steps_per_second": 19.597, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 1.069286584854126, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.6411, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5595667870036101, |
|
"eval_loss": 0.7111313939094543, |
|
"eval_runtime": 0.1056, |
|
"eval_samples_per_second": 2623.085, |
|
"eval_steps_per_second": 18.939, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 2.2234373092651367, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.6054, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5451263537906137, |
|
"eval_loss": 0.7582637667655945, |
|
"eval_runtime": 0.0872, |
|
"eval_samples_per_second": 3176.99, |
|
"eval_steps_per_second": 22.939, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 2.08807110786438, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.5666, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.5306859205776173, |
|
"eval_loss": 0.7696317434310913, |
|
"eval_runtime": 0.0892, |
|
"eval_samples_per_second": 3103.895, |
|
"eval_steps_per_second": 22.411, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 4.4657697677612305, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.4955, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.5126353790613718, |
|
"eval_loss": 0.8306052088737488, |
|
"eval_runtime": 0.0891, |
|
"eval_samples_per_second": 3108.829, |
|
"eval_steps_per_second": 22.446, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"step": 70, |
|
"total_flos": 457076966492160.0, |
|
"train_loss": 0.6244595663888114, |
|
"train_runtime": 15.0091, |
|
"train_samples_per_second": 8294.994, |
|
"train_steps_per_second": 33.313 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 500, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 5, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 5 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 457076966492160.0, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|