| { |
| "best_metric": 0.6493010279892045, |
| "best_model_checkpoint": "./models/as_TrA50_XLM/checkpoint-4986", |
| "epoch": 6.0, |
| "eval_steps": 500, |
| "global_step": 4986, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.9987966305655837, |
| "grad_norm": 4.042017936706543, |
| "learning_rate": 4.1676694745286805e-05, |
| "loss": 0.7179, |
| "step": 830 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_f1": 0.5016971754152019, |
| "eval_loss": 0.3967933654785156, |
| "eval_precision": 0.48018796774380695, |
| "eval_recall": 0.525223681705692, |
| "eval_runtime": 36.5565, |
| "eval_samples_per_second": 303.339, |
| "eval_steps_per_second": 4.76, |
| "step": 831 |
| }, |
| { |
| "epoch": 1.9975932611311673, |
| "grad_norm": 3.9885966777801514, |
| "learning_rate": 3.335338949057361e-05, |
| "loss": 0.4331, |
| "step": 1660 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_f1": 0.5287363073037502, |
| "eval_loss": 0.36940571665763855, |
| "eval_precision": 0.4921277061010278, |
| "eval_recall": 0.5712291389047528, |
| "eval_runtime": 36.6256, |
| "eval_samples_per_second": 302.766, |
| "eval_steps_per_second": 4.751, |
| "step": 1662 |
| }, |
| { |
| "epoch": 2.996389891696751, |
| "grad_norm": 3.235121250152588, |
| "learning_rate": 2.5030084235860413e-05, |
| "loss": 0.3391, |
| "step": 2490 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_f1": 0.607596501529808, |
| "eval_loss": 0.289639949798584, |
| "eval_precision": 0.5922400289191468, |
| "eval_recall": 0.623770543816232, |
| "eval_runtime": 36.3105, |
| "eval_samples_per_second": 305.393, |
| "eval_steps_per_second": 4.792, |
| "step": 2493 |
| }, |
| { |
| "epoch": 3.9951865222623346, |
| "grad_norm": 5.095285415649414, |
| "learning_rate": 1.6706778981147215e-05, |
| "loss": 0.2637, |
| "step": 3320 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_f1": 0.6188354585957905, |
| "eval_loss": 0.2840094566345215, |
| "eval_precision": 0.5999046824734898, |
| "eval_recall": 0.638999936544197, |
| "eval_runtime": 36.309, |
| "eval_samples_per_second": 305.407, |
| "eval_steps_per_second": 4.792, |
| "step": 3324 |
| }, |
| { |
| "epoch": 4.993983152827918, |
| "grad_norm": 3.0477702617645264, |
| "learning_rate": 8.383473726434016e-06, |
| "loss": 0.2006, |
| "step": 4150 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_f1": 0.6398084151812781, |
| "eval_loss": 0.2787846028804779, |
| "eval_precision": 0.6125137848975565, |
| "eval_recall": 0.6696490894092265, |
| "eval_runtime": 36.4904, |
| "eval_samples_per_second": 303.888, |
| "eval_steps_per_second": 4.768, |
| "step": 4155 |
| }, |
| { |
| "epoch": 5.992779783393502, |
| "grad_norm": 3.478201150894165, |
| "learning_rate": 6.01684717208183e-08, |
| "loss": 0.1535, |
| "step": 4980 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_f1": 0.6493010279892045, |
| "eval_loss": 0.27660489082336426, |
| "eval_precision": 0.6217911487977698, |
| "eval_recall": 0.6793578272733042, |
| "eval_runtime": 36.2487, |
| "eval_samples_per_second": 305.914, |
| "eval_steps_per_second": 4.8, |
| "step": 4986 |
| } |
| ], |
| "logging_steps": 830, |
| "max_steps": 4986, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 6, |
| "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": 4.58906727159972e+16, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|