|
{ |
|
"best_metric": 0.6226160526275635, |
|
"best_model_checkpoint": "bert_base_lda_50_v1_mrpc/checkpoint-150", |
|
"epoch": 15.0, |
|
"eval_steps": 500, |
|
"global_step": 225, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 22.977022171020508, |
|
"learning_rate": 0.00098, |
|
"loss": 1.9018, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.3161764705882353, |
|
"eval_combined_score": 0.15808823529411764, |
|
"eval_f1": 0.0, |
|
"eval_loss": 1.746949315071106, |
|
"eval_runtime": 0.2773, |
|
"eval_samples_per_second": 1471.484, |
|
"eval_steps_per_second": 7.213, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 5.6883745193481445, |
|
"learning_rate": 0.00096, |
|
"loss": 0.7758, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.713627815246582, |
|
"eval_runtime": 0.2735, |
|
"eval_samples_per_second": 1491.747, |
|
"eval_steps_per_second": 7.312, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 2.137789249420166, |
|
"learning_rate": 0.00094, |
|
"loss": 0.6464, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6401654481887817, |
|
"eval_runtime": 0.3133, |
|
"eval_samples_per_second": 1302.407, |
|
"eval_steps_per_second": 6.384, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.9102729558944702, |
|
"learning_rate": 0.00092, |
|
"loss": 0.6412, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6260914206504822, |
|
"eval_runtime": 0.2816, |
|
"eval_samples_per_second": 1449.033, |
|
"eval_steps_per_second": 7.103, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.8048895001411438, |
|
"learning_rate": 0.0009000000000000001, |
|
"loss": 0.6318, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6250861883163452, |
|
"eval_runtime": 0.2775, |
|
"eval_samples_per_second": 1470.21, |
|
"eval_steps_per_second": 7.207, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.975186288356781, |
|
"learning_rate": 0.00088, |
|
"loss": 0.6352, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6246122717857361, |
|
"eval_runtime": 0.2709, |
|
"eval_samples_per_second": 1506.067, |
|
"eval_steps_per_second": 7.383, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.4961640536785126, |
|
"learning_rate": 0.00086, |
|
"loss": 0.635, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6256270408630371, |
|
"eval_runtime": 0.2693, |
|
"eval_samples_per_second": 1515.101, |
|
"eval_steps_per_second": 7.427, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 0.3314763903617859, |
|
"learning_rate": 0.00084, |
|
"loss": 0.634, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6243536472320557, |
|
"eval_runtime": 0.2744, |
|
"eval_samples_per_second": 1487.06, |
|
"eval_steps_per_second": 7.29, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"grad_norm": 0.5980406403541565, |
|
"learning_rate": 0.00082, |
|
"loss": 0.6297, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.634880542755127, |
|
"eval_runtime": 0.2751, |
|
"eval_samples_per_second": 1482.984, |
|
"eval_steps_per_second": 7.27, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 0.4592650532722473, |
|
"learning_rate": 0.0008, |
|
"loss": 0.6357, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6226160526275635, |
|
"eval_runtime": 0.2684, |
|
"eval_samples_per_second": 1520.307, |
|
"eval_steps_per_second": 7.452, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"grad_norm": 0.7528880834579468, |
|
"learning_rate": 0.0007800000000000001, |
|
"loss": 0.6341, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6255601048469543, |
|
"eval_runtime": 0.2722, |
|
"eval_samples_per_second": 1499.113, |
|
"eval_steps_per_second": 7.349, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 0.380775511264801, |
|
"learning_rate": 0.00076, |
|
"loss": 0.6333, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6249569058418274, |
|
"eval_runtime": 0.2722, |
|
"eval_samples_per_second": 1498.681, |
|
"eval_steps_per_second": 7.346, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"grad_norm": 0.6090389490127563, |
|
"learning_rate": 0.00074, |
|
"loss": 0.6309, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6240330338478088, |
|
"eval_runtime": 0.2747, |
|
"eval_samples_per_second": 1485.187, |
|
"eval_steps_per_second": 7.28, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"grad_norm": 1.031883716583252, |
|
"learning_rate": 0.0007199999999999999, |
|
"loss": 0.6343, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6258903741836548, |
|
"eval_runtime": 0.2733, |
|
"eval_samples_per_second": 1492.679, |
|
"eval_steps_per_second": 7.317, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"grad_norm": 0.6238628029823303, |
|
"learning_rate": 0.0007, |
|
"loss": 0.6328, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6254164576530457, |
|
"eval_runtime": 0.2698, |
|
"eval_samples_per_second": 1512.061, |
|
"eval_steps_per_second": 7.412, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"step": 225, |
|
"total_flos": 7238185132953600.0, |
|
"train_loss": 0.7287869644165039, |
|
"train_runtime": 125.4342, |
|
"train_samples_per_second": 1462.121, |
|
"train_steps_per_second": 5.979 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 750, |
|
"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": 7238185132953600.0, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|