|
{ |
|
"best_metric": 0.6814756989479065, |
|
"best_model_checkpoint": "bert_base_lda_20_v1_wnli/checkpoint-24", |
|
"epoch": 13.0, |
|
"eval_steps": 500, |
|
"global_step": 39, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 2.379216432571411, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.8433, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.733467161655426, |
|
"eval_runtime": 0.0534, |
|
"eval_samples_per_second": 1329.611, |
|
"eval_steps_per_second": 18.727, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 5.9057841300964355, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.7419, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.43661971830985913, |
|
"eval_loss": 0.7789943218231201, |
|
"eval_runtime": 0.0547, |
|
"eval_samples_per_second": 1298.937, |
|
"eval_steps_per_second": 18.295, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 3.7641913890838623, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.7237, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6985859870910645, |
|
"eval_runtime": 0.0566, |
|
"eval_samples_per_second": 1254.04, |
|
"eval_steps_per_second": 17.663, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 1.4714839458465576, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.7156, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.4507042253521127, |
|
"eval_loss": 0.7405645847320557, |
|
"eval_runtime": 0.0626, |
|
"eval_samples_per_second": 1134.494, |
|
"eval_steps_per_second": 15.979, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.7439093589782715, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.7143, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6858494281768799, |
|
"eval_runtime": 0.0533, |
|
"eval_samples_per_second": 1330.936, |
|
"eval_steps_per_second": 18.746, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.680374264717102, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.6989, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6855193376541138, |
|
"eval_runtime": 0.0533, |
|
"eval_samples_per_second": 1332.037, |
|
"eval_steps_per_second": 18.761, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.9396877884864807, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.6949, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.5070422535211268, |
|
"eval_loss": 0.693166971206665, |
|
"eval_runtime": 0.0529, |
|
"eval_samples_per_second": 1343.406, |
|
"eval_steps_per_second": 18.921, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 2.6080543994903564, |
|
"learning_rate": 4.2e-05, |
|
"loss": 0.6949, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6814756989479065, |
|
"eval_runtime": 0.0551, |
|
"eval_samples_per_second": 1288.171, |
|
"eval_steps_per_second": 18.143, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"grad_norm": 0.7388402223587036, |
|
"learning_rate": 4.1e-05, |
|
"loss": 0.6963, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.49295774647887325, |
|
"eval_loss": 0.696027934551239, |
|
"eval_runtime": 0.0535, |
|
"eval_samples_per_second": 1327.027, |
|
"eval_steps_per_second": 18.691, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 0.8557111620903015, |
|
"learning_rate": 4e-05, |
|
"loss": 0.6932, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.5352112676056338, |
|
"eval_loss": 0.6830435991287231, |
|
"eval_runtime": 0.0551, |
|
"eval_samples_per_second": 1288.116, |
|
"eval_steps_per_second": 18.142, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"grad_norm": 1.1222957372665405, |
|
"learning_rate": 3.9000000000000006e-05, |
|
"loss": 0.6989, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.5352112676056338, |
|
"eval_loss": 0.6837586760520935, |
|
"eval_runtime": 0.0534, |
|
"eval_samples_per_second": 1330.448, |
|
"eval_steps_per_second": 18.739, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 1.9935102462768555, |
|
"learning_rate": 3.8e-05, |
|
"loss": 0.6969, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.49295774647887325, |
|
"eval_loss": 0.7047203779220581, |
|
"eval_runtime": 0.0537, |
|
"eval_samples_per_second": 1321.152, |
|
"eval_steps_per_second": 18.608, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"grad_norm": 1.0254613161087036, |
|
"learning_rate": 3.7e-05, |
|
"loss": 0.7032, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.5070422535211268, |
|
"eval_loss": 0.6938820481300354, |
|
"eval_runtime": 0.0538, |
|
"eval_samples_per_second": 1319.104, |
|
"eval_steps_per_second": 18.579, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"step": 39, |
|
"total_flos": 1085990880998400.0, |
|
"train_loss": 0.7166132437877166, |
|
"train_runtime": 48.6385, |
|
"train_samples_per_second": 652.775, |
|
"train_steps_per_second": 3.084 |
|
} |
|
], |
|
"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": 1085990880998400.0, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|