| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 18.0, | |
| "eval_steps": 500, | |
| "global_step": 18, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 4.865087985992432, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.5553, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_Macro F1": 0.0, | |
| "eval_Macro Precision": 0.0, | |
| "eval_Macro Recall": 0.0, | |
| "eval_Micro F1": 0.0, | |
| "eval_Micro Precision": 0.0, | |
| "eval_Micro Recall": 0.0, | |
| "eval_Weighted F1": 0.0, | |
| "eval_Weighted Precision": 0.0, | |
| "eval_Weighted Recall": 0.0, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 2.791379451751709, | |
| "eval_runtime": 3.111, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_Macro F1": 0.0, | |
| "eval_Macro Precision": 0.0, | |
| "eval_Macro Recall": 0.0, | |
| "eval_Micro F1": 0.0, | |
| "eval_Micro Precision": 0.0, | |
| "eval_Micro Recall": 0.0, | |
| "eval_Weighted F1": 0.0, | |
| "eval_Weighted Precision": 0.0, | |
| "eval_Weighted Recall": 0.0, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 2.4681010246276855, | |
| "eval_runtime": 2.3459, | |
| "eval_samples_per_second": 0.426, | |
| "eval_steps_per_second": 0.426, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_Macro F1": 0.0, | |
| "eval_Macro Precision": 0.0, | |
| "eval_Macro Recall": 0.0, | |
| "eval_Micro F1": 0.0, | |
| "eval_Micro Precision": 0.0, | |
| "eval_Micro Recall": 0.0, | |
| "eval_Weighted F1": 0.0, | |
| "eval_Weighted Precision": 0.0, | |
| "eval_Weighted Recall": 0.0, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 1.868812084197998, | |
| "eval_runtime": 2.4851, | |
| "eval_samples_per_second": 0.402, | |
| "eval_steps_per_second": 0.402, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 1.3606051206588745, | |
| "eval_runtime": 2.664, | |
| "eval_samples_per_second": 0.375, | |
| "eval_steps_per_second": 0.375, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.9826632142066956, | |
| "eval_runtime": 2.3833, | |
| "eval_samples_per_second": 0.42, | |
| "eval_steps_per_second": 0.42, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.7991973757743835, | |
| "eval_runtime": 2.3865, | |
| "eval_samples_per_second": 0.419, | |
| "eval_steps_per_second": 0.419, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.5434778332710266, | |
| "eval_runtime": 2.4197, | |
| "eval_samples_per_second": 0.413, | |
| "eval_steps_per_second": 0.413, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 2.9049506187438965, | |
| "learning_rate": 3.125e-05, | |
| "loss": 0.3458, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.34662869572639465, | |
| "eval_runtime": 2.5941, | |
| "eval_samples_per_second": 0.385, | |
| "eval_steps_per_second": 0.385, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.2157200425863266, | |
| "eval_runtime": 2.3657, | |
| "eval_samples_per_second": 0.423, | |
| "eval_steps_per_second": 0.423, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.15205366909503937, | |
| "eval_runtime": 2.4557, | |
| "eval_samples_per_second": 0.407, | |
| "eval_steps_per_second": 0.407, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.12508539855480194, | |
| "eval_runtime": 3.5047, | |
| "eval_samples_per_second": 0.285, | |
| "eval_steps_per_second": 0.285, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.10588796436786652, | |
| "eval_runtime": 2.5523, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.392, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.09097960591316223, | |
| "eval_runtime": 2.7254, | |
| "eval_samples_per_second": 0.367, | |
| "eval_steps_per_second": 0.367, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.08067251741886139, | |
| "eval_runtime": 3.1629, | |
| "eval_samples_per_second": 0.316, | |
| "eval_steps_per_second": 0.316, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.07393598556518555, | |
| "eval_runtime": 2.2691, | |
| "eval_samples_per_second": 0.441, | |
| "eval_steps_per_second": 0.441, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 4.167747974395752, | |
| "learning_rate": 6.25e-06, | |
| "loss": 0.1206, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.06927751749753952, | |
| "eval_runtime": 2.4236, | |
| "eval_samples_per_second": 0.413, | |
| "eval_steps_per_second": 0.413, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0666036382317543, | |
| "eval_runtime": 2.3816, | |
| "eval_samples_per_second": 0.42, | |
| "eval_steps_per_second": 0.42, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_Macro F1": 1.0, | |
| "eval_Macro Precision": 1.0, | |
| "eval_Macro Recall": 1.0, | |
| "eval_Micro F1": 1.0, | |
| "eval_Micro Precision": 1.0, | |
| "eval_Micro Recall": 1.0, | |
| "eval_Weighted F1": 1.0, | |
| "eval_Weighted Precision": 1.0, | |
| "eval_Weighted Recall": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.06531175971031189, | |
| "eval_runtime": 2.6334, | |
| "eval_samples_per_second": 0.38, | |
| "eval_steps_per_second": 0.38, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "step": 18, | |
| "total_flos": 4185579438931968.0, | |
| "train_loss": 0.22384852460689014, | |
| "train_runtime": 209.9511, | |
| "train_samples_per_second": 0.257, | |
| "train_steps_per_second": 0.086 | |
| } | |
| ], | |
| "logging_steps": 8, | |
| "max_steps": 18, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 18, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4185579438931968.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |