| { |
| "best_metric": 0.8709677419354839, |
| "best_model_checkpoint": "ESMC_plus-finetuned-TP53_201AA/checkpoint-800", |
| "epoch": 36.36363636363637, |
| "eval_steps": 50, |
| "global_step": 800, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 2.2727272727272725, |
| "grad_norm": 3.7824575901031494, |
| "learning_rate": 5.6999999999999996e-05, |
| "loss": 0.6625, |
| "step": 50 |
| }, |
| { |
| "epoch": 2.2727272727272725, |
| "eval_f1_score": 0.7755102040816326, |
| "eval_loss": 0.5577281713485718, |
| "eval_precision": 0.6855670103092784, |
| "eval_recall": 0.8926174496644296, |
| "eval_roc_auc": 0.7809697045725397, |
| "eval_runtime": 0.5094, |
| "eval_samples_per_second": 693.021, |
| "eval_steps_per_second": 5.89, |
| "step": 50 |
| }, |
| { |
| "epoch": 4.545454545454545, |
| "grad_norm": 10.261860847473145, |
| "learning_rate": 5.4000000000000005e-05, |
| "loss": 0.4772, |
| "step": 100 |
| }, |
| { |
| "epoch": 4.545454545454545, |
| "eval_f1_score": 0.7908496732026143, |
| "eval_loss": 0.5206712484359741, |
| "eval_precision": 0.7707006369426752, |
| "eval_recall": 0.8120805369127517, |
| "eval_roc_auc": 0.80794078906103, |
| "eval_runtime": 0.5068, |
| "eval_samples_per_second": 696.586, |
| "eval_steps_per_second": 5.92, |
| "step": 100 |
| }, |
| { |
| "epoch": 6.818181818181818, |
| "grad_norm": 11.708925247192383, |
| "learning_rate": 5.1e-05, |
| "loss": 0.4047, |
| "step": 150 |
| }, |
| { |
| "epoch": 6.818181818181818, |
| "eval_f1_score": 0.7753623188405797, |
| "eval_loss": 0.49258285760879517, |
| "eval_precision": 0.84251968503937, |
| "eval_recall": 0.7181208053691275, |
| "eval_roc_auc": 0.8690334316000753, |
| "eval_runtime": 0.5185, |
| "eval_samples_per_second": 680.81, |
| "eval_steps_per_second": 5.786, |
| "step": 150 |
| }, |
| { |
| "epoch": 9.090909090909092, |
| "grad_norm": 14.289894104003906, |
| "learning_rate": 4.8e-05, |
| "loss": 0.3611, |
| "step": 200 |
| }, |
| { |
| "epoch": 9.090909090909092, |
| "eval_f1_score": 0.7753623188405797, |
| "eval_loss": 0.46306541562080383, |
| "eval_precision": 0.84251968503937, |
| "eval_recall": 0.7181208053691275, |
| "eval_roc_auc": 0.8886658721696042, |
| "eval_runtime": 0.487, |
| "eval_samples_per_second": 724.818, |
| "eval_steps_per_second": 6.16, |
| "step": 200 |
| }, |
| { |
| "epoch": 11.363636363636363, |
| "grad_norm": 2.303349494934082, |
| "learning_rate": 4.5e-05, |
| "loss": 0.3402, |
| "step": 250 |
| }, |
| { |
| "epoch": 11.363636363636363, |
| "eval_f1_score": 0.8417508417508418, |
| "eval_loss": 0.39569616317749023, |
| "eval_precision": 0.8445945945945946, |
| "eval_recall": 0.8389261744966443, |
| "eval_roc_auc": 0.8988270714420122, |
| "eval_runtime": 0.4881, |
| "eval_samples_per_second": 723.205, |
| "eval_steps_per_second": 6.146, |
| "step": 250 |
| }, |
| { |
| "epoch": 13.636363636363637, |
| "grad_norm": 4.852221488952637, |
| "learning_rate": 4.2e-05, |
| "loss": 0.3342, |
| "step": 300 |
| }, |
| { |
| "epoch": 13.636363636363637, |
| "eval_f1_score": 0.8617363344051447, |
| "eval_loss": 0.42518067359924316, |
| "eval_precision": 0.8271604938271605, |
| "eval_recall": 0.8993288590604027, |
| "eval_roc_auc": 0.8945618766856928, |
| "eval_runtime": 0.4865, |
| "eval_samples_per_second": 725.541, |
| "eval_steps_per_second": 6.166, |
| "step": 300 |
| }, |
| { |
| "epoch": 15.909090909090908, |
| "grad_norm": 5.0347747802734375, |
| "learning_rate": 3.9e-05, |
| "loss": 0.2885, |
| "step": 350 |
| }, |
| { |
| "epoch": 15.909090909090908, |
| "eval_f1_score": 0.8571428571428571, |
| "eval_loss": 0.40493202209472656, |
| "eval_precision": 0.8486842105263158, |
| "eval_recall": 0.8657718120805369, |
| "eval_roc_auc": 0.9029668192937339, |
| "eval_runtime": 0.4878, |
| "eval_samples_per_second": 723.589, |
| "eval_steps_per_second": 6.149, |
| "step": 350 |
| }, |
| { |
| "epoch": 18.181818181818183, |
| "grad_norm": 1.1147843599319458, |
| "learning_rate": 3.6e-05, |
| "loss": 0.2654, |
| "step": 400 |
| }, |
| { |
| "epoch": 18.181818181818183, |
| "eval_f1_score": 0.8304498269896193, |
| "eval_loss": 0.4450823664665222, |
| "eval_precision": 0.8571428571428571, |
| "eval_recall": 0.8053691275167785, |
| "eval_roc_auc": 0.9034058834598256, |
| "eval_runtime": 0.4878, |
| "eval_samples_per_second": 723.718, |
| "eval_steps_per_second": 6.151, |
| "step": 400 |
| }, |
| { |
| "epoch": 20.454545454545453, |
| "grad_norm": 7.004922866821289, |
| "learning_rate": 3.3e-05, |
| "loss": 0.2596, |
| "step": 450 |
| }, |
| { |
| "epoch": 20.454545454545453, |
| "eval_f1_score": 0.8395904436860068, |
| "eval_loss": 0.4173749089241028, |
| "eval_precision": 0.8541666666666666, |
| "eval_recall": 0.825503355704698, |
| "eval_roc_auc": 0.9070438436931568, |
| "eval_runtime": 0.4865, |
| "eval_samples_per_second": 725.609, |
| "eval_steps_per_second": 6.167, |
| "step": 450 |
| }, |
| { |
| "epoch": 22.727272727272727, |
| "grad_norm": 2.1273648738861084, |
| "learning_rate": 3e-05, |
| "loss": 0.2366, |
| "step": 500 |
| }, |
| { |
| "epoch": 22.727272727272727, |
| "eval_f1_score": 0.8142857142857143, |
| "eval_loss": 0.4525018334388733, |
| "eval_precision": 0.8702290076335878, |
| "eval_recall": 0.7651006711409396, |
| "eval_roc_auc": 0.9105563570218905, |
| "eval_runtime": 0.4875, |
| "eval_samples_per_second": 724.141, |
| "eval_steps_per_second": 6.154, |
| "step": 500 |
| }, |
| { |
| "epoch": 25.0, |
| "grad_norm": 4.955398082733154, |
| "learning_rate": 2.7000000000000002e-05, |
| "loss": 0.2306, |
| "step": 550 |
| }, |
| { |
| "epoch": 25.0, |
| "eval_f1_score": 0.8350877192982457, |
| "eval_loss": 0.4550461769104004, |
| "eval_precision": 0.875, |
| "eval_recall": 0.7986577181208053, |
| "eval_roc_auc": 0.9146333814213135, |
| "eval_runtime": 0.487, |
| "eval_samples_per_second": 724.913, |
| "eval_steps_per_second": 6.161, |
| "step": 550 |
| }, |
| { |
| "epoch": 27.272727272727273, |
| "grad_norm": 1.5066548585891724, |
| "learning_rate": 2.4e-05, |
| "loss": 0.2214, |
| "step": 600 |
| }, |
| { |
| "epoch": 27.272727272727273, |
| "eval_f1_score": 0.8542372881355932, |
| "eval_loss": 0.4234406054019928, |
| "eval_precision": 0.863013698630137, |
| "eval_recall": 0.8456375838926175, |
| "eval_roc_auc": 0.9131280185661419, |
| "eval_runtime": 0.487, |
| "eval_samples_per_second": 724.849, |
| "eval_steps_per_second": 6.16, |
| "step": 600 |
| }, |
| { |
| "epoch": 29.545454545454547, |
| "grad_norm": 2.199934482574463, |
| "learning_rate": 2.1e-05, |
| "loss": 0.2007, |
| "step": 650 |
| }, |
| { |
| "epoch": 29.545454545454547, |
| "eval_f1_score": 0.8406779661016949, |
| "eval_loss": 0.4141705632209778, |
| "eval_precision": 0.8493150684931506, |
| "eval_recall": 0.8322147651006712, |
| "eval_roc_auc": 0.9175186602270589, |
| "eval_runtime": 0.4861, |
| "eval_samples_per_second": 726.128, |
| "eval_steps_per_second": 6.171, |
| "step": 650 |
| }, |
| { |
| "epoch": 31.818181818181817, |
| "grad_norm": 3.5876011848449707, |
| "learning_rate": 1.8e-05, |
| "loss": 0.1869, |
| "step": 700 |
| }, |
| { |
| "epoch": 31.818181818181817, |
| "eval_f1_score": 0.8533333333333334, |
| "eval_loss": 0.42080163955688477, |
| "eval_precision": 0.847682119205298, |
| "eval_recall": 0.8590604026845637, |
| "eval_roc_auc": 0.9163896380856803, |
| "eval_runtime": 0.486, |
| "eval_samples_per_second": 726.361, |
| "eval_steps_per_second": 6.173, |
| "step": 700 |
| }, |
| { |
| "epoch": 34.09090909090909, |
| "grad_norm": 2.6010570526123047, |
| "learning_rate": 1.5e-05, |
| "loss": 0.1791, |
| "step": 750 |
| }, |
| { |
| "epoch": 34.09090909090909, |
| "eval_f1_score": 0.8655737704918033, |
| "eval_loss": 0.405379056930542, |
| "eval_precision": 0.8461538461538461, |
| "eval_recall": 0.8859060402684564, |
| "eval_roc_auc": 0.9218465784356771, |
| "eval_runtime": 0.4871, |
| "eval_samples_per_second": 724.696, |
| "eval_steps_per_second": 6.159, |
| "step": 750 |
| }, |
| { |
| "epoch": 36.36363636363637, |
| "grad_norm": 4.041784286499023, |
| "learning_rate": 1.2e-05, |
| "loss": 0.1666, |
| "step": 800 |
| }, |
| { |
| "epoch": 36.36363636363637, |
| "eval_f1_score": 0.8709677419354839, |
| "eval_loss": 0.4173583388328552, |
| "eval_precision": 0.8385093167701864, |
| "eval_recall": 0.9060402684563759, |
| "eval_roc_auc": 0.9189612996299317, |
| "eval_runtime": 0.4862, |
| "eval_samples_per_second": 725.969, |
| "eval_steps_per_second": 6.17, |
| "step": 800 |
| } |
| ], |
| "logging_steps": 50, |
| "max_steps": 1000, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 46, |
| "save_steps": 50, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 1.9066711283712e+16, |
| "train_batch_size": 128, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|