| { | |
| "best_metric": 0.5547226386806596, | |
| "best_model_checkpoint": "outputs/bert-base-multilingual-cased-reddit-indonesia-sarcastic/checkpoint-618", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 1545, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 9.997596258989254e-06, | |
| "loss": 0.4935, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7710843373493976, | |
| "eval_f1": 0.518628912071535, | |
| "eval_loss": 0.4739145338535309, | |
| "eval_precision": 0.5471698113207547, | |
| "eval_recall": 0.49291784702549574, | |
| "eval_runtime": 5.5595, | |
| "eval_samples_per_second": 253.799, | |
| "eval_steps_per_second": 4.137, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 9.99026090730682e-06, | |
| "loss": 0.4203, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7895109851169383, | |
| "eval_f1": 0.5547226386806596, | |
| "eval_loss": 0.45271238684654236, | |
| "eval_precision": 0.589171974522293, | |
| "eval_recall": 0.5240793201133145, | |
| "eval_runtime": 5.5644, | |
| "eval_samples_per_second": 253.578, | |
| "eval_steps_per_second": 4.133, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 9.978000770590375e-06, | |
| "loss": 0.3469, | |
| "step": 927 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7923458540042523, | |
| "eval_f1": 0.49569707401032703, | |
| "eval_loss": 0.5104795694351196, | |
| "eval_precision": 0.631578947368421, | |
| "eval_recall": 0.40793201133144474, | |
| "eval_runtime": 5.5628, | |
| "eval_samples_per_second": 253.651, | |
| "eval_steps_per_second": 4.135, | |
| "step": 927 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 9.960827948114673e-06, | |
| "loss": 0.2754, | |
| "step": 1236 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.77462792345854, | |
| "eval_f1": 0.5253731343283581, | |
| "eval_loss": 0.5125688910484314, | |
| "eval_precision": 0.555205047318612, | |
| "eval_recall": 0.4985835694050991, | |
| "eval_runtime": 5.5704, | |
| "eval_samples_per_second": 253.302, | |
| "eval_steps_per_second": 4.129, | |
| "step": 1236 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 9.9387593873822e-06, | |
| "loss": 0.2208, | |
| "step": 1545 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.780297661233168, | |
| "eval_f1": 0.5063694267515924, | |
| "eval_loss": 0.6012129187583923, | |
| "eval_precision": 0.5781818181818181, | |
| "eval_recall": 0.45042492917847027, | |
| "eval_runtime": 5.5644, | |
| "eval_samples_per_second": 253.575, | |
| "eval_steps_per_second": 4.133, | |
| "step": 1545 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "step": 1545, | |
| "total_flos": 3249750422515200.0, | |
| "train_loss": 0.3513797155090134, | |
| "train_runtime": 654.2316, | |
| "train_samples_per_second": 1510.321, | |
| "train_steps_per_second": 47.231 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 30900, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 100, | |
| "save_steps": 500, | |
| "total_flos": 3249750422515200.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |