|
{ |
|
"best_metric": 0.7000991106033325, |
|
"best_model_checkpoint": "bert_tiny_lda_5_v1_book_wnli/checkpoint-6", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 21, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.3964866399765015, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.7081, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.4225352112676056, |
|
"eval_loss": 0.7032899260520935, |
|
"eval_runtime": 0.0287, |
|
"eval_samples_per_second": 2474.701, |
|
"eval_steps_per_second": 34.855, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.9558442234992981, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.7026, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.7000991106033325, |
|
"eval_runtime": 0.0298, |
|
"eval_samples_per_second": 2383.852, |
|
"eval_steps_per_second": 33.575, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.478176474571228, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.6963, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.29577464788732394, |
|
"eval_loss": 0.716989278793335, |
|
"eval_runtime": 0.0321, |
|
"eval_samples_per_second": 2209.789, |
|
"eval_steps_per_second": 31.124, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.4897487759590149, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.6918, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.36619718309859156, |
|
"eval_loss": 0.7249119281768799, |
|
"eval_runtime": 0.0286, |
|
"eval_samples_per_second": 2486.541, |
|
"eval_steps_per_second": 35.022, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.6434975862503052, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.6921, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.28169014084507044, |
|
"eval_loss": 0.7210608720779419, |
|
"eval_runtime": 0.0283, |
|
"eval_samples_per_second": 2513.17, |
|
"eval_steps_per_second": 35.397, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.5997876524925232, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.6919, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.30985915492957744, |
|
"eval_loss": 0.724141538143158, |
|
"eval_runtime": 0.0288, |
|
"eval_samples_per_second": 2465.767, |
|
"eval_steps_per_second": 34.729, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.5266169309616089, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.6883, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.3380281690140845, |
|
"eval_loss": 0.7300835847854614, |
|
"eval_runtime": 0.0289, |
|
"eval_samples_per_second": 2458.459, |
|
"eval_steps_per_second": 34.626, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"step": 21, |
|
"total_flos": 116563804707840.0, |
|
"train_loss": 0.6958753835587275, |
|
"train_runtime": 8.7747, |
|
"train_samples_per_second": 3618.346, |
|
"train_steps_per_second": 17.095 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 150, |
|
"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": 116563804707840.0, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|