| { | |
| "best_global_step": 7670, | |
| "best_metric": 0.8055477738380432, | |
| "best_model_checkpoint": "bert_base_rand_20_v2_mnli/checkpoint-7670", | |
| "epoch": 10.0, | |
| "eval_steps": 500, | |
| "global_step": 15340, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.2353837490081787, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.9776, | |
| "step": 1534 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5755476311767702, | |
| "eval_loss": 0.9095600843429565, | |
| "eval_runtime": 6.2444, | |
| "eval_samples_per_second": 1571.82, | |
| "eval_steps_per_second": 6.246, | |
| "step": 1534 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.7086997032165527, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.8756, | |
| "step": 3068 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6042791645440652, | |
| "eval_loss": 0.8629811406135559, | |
| "eval_runtime": 6.2245, | |
| "eval_samples_per_second": 1576.83, | |
| "eval_steps_per_second": 6.266, | |
| "step": 3068 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.6689685583114624, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.7956, | |
| "step": 4602 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6348446255731024, | |
| "eval_loss": 0.8167165517807007, | |
| "eval_runtime": 6.2259, | |
| "eval_samples_per_second": 1576.472, | |
| "eval_steps_per_second": 6.264, | |
| "step": 4602 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.151376962661743, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.7175, | |
| "step": 6136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6471726948548141, | |
| "eval_loss": 0.8117183446884155, | |
| "eval_runtime": 6.2292, | |
| "eval_samples_per_second": 1575.652, | |
| "eval_steps_per_second": 6.261, | |
| "step": 6136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.3178389072418213, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.6438, | |
| "step": 7670 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.658889454915945, | |
| "eval_loss": 0.8055477738380432, | |
| "eval_runtime": 6.2237, | |
| "eval_samples_per_second": 1577.032, | |
| "eval_steps_per_second": 6.266, | |
| "step": 7670 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 2.5540552139282227, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.5715, | |
| "step": 9204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6651044319918492, | |
| "eval_loss": 0.8539048433303833, | |
| "eval_runtime": 6.2171, | |
| "eval_samples_per_second": 1578.707, | |
| "eval_steps_per_second": 6.273, | |
| "step": 9204 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 2.5792064666748047, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.4957, | |
| "step": 10738 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6585838003056547, | |
| "eval_loss": 0.9527242183685303, | |
| "eval_runtime": 6.205, | |
| "eval_samples_per_second": 1581.777, | |
| "eval_steps_per_second": 6.285, | |
| "step": 10738 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 3.162525177001953, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.4267, | |
| "step": 12272 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6547121752419766, | |
| "eval_loss": 0.9706308841705322, | |
| "eval_runtime": 6.2206, | |
| "eval_samples_per_second": 1577.826, | |
| "eval_steps_per_second": 6.27, | |
| "step": 12272 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 4.91460657119751, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.362, | |
| "step": 13806 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6468670402445237, | |
| "eval_loss": 1.1230700016021729, | |
| "eval_runtime": 6.2048, | |
| "eval_samples_per_second": 1581.841, | |
| "eval_steps_per_second": 6.285, | |
| "step": 13806 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 4.130703926086426, | |
| "learning_rate": 4e-05, | |
| "loss": 0.3054, | |
| "step": 15340 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6572592969943963, | |
| "eval_loss": 1.1829255819320679, | |
| "eval_runtime": 6.2212, | |
| "eval_samples_per_second": 1577.676, | |
| "eval_steps_per_second": 6.269, | |
| "step": 15340 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 15340, | |
| "total_flos": 5.166258268431053e+17, | |
| "train_loss": 0.6171293813215551, | |
| "train_runtime": 6430.1974, | |
| "train_samples_per_second": 3053.577, | |
| "train_steps_per_second": 11.928 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 76700, | |
| "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": 5.166258268431053e+17, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |