| { |
| "best_metric": 0.6832635402679443, |
| "best_model_checkpoint": "hBERTv2_wnli/checkpoint-6", |
| "epoch": 7.0, |
| "global_step": 21, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "learning_rate": 4.9e-05, |
| "loss": 0.7351, |
| "step": 3 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.5211267605633803, |
| "eval_loss": 0.7259640693664551, |
| "eval_runtime": 0.0924, |
| "eval_samples_per_second": 768.523, |
| "eval_steps_per_second": 10.824, |
| "step": 3 |
| }, |
| { |
| "epoch": 2.0, |
| "learning_rate": 4.8e-05, |
| "loss": 0.7223, |
| "step": 6 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.5633802816901409, |
| "eval_loss": 0.6832635402679443, |
| "eval_runtime": 0.0917, |
| "eval_samples_per_second": 774.537, |
| "eval_steps_per_second": 10.909, |
| "step": 6 |
| }, |
| { |
| "epoch": 3.0, |
| "learning_rate": 4.7e-05, |
| "loss": 0.7189, |
| "step": 9 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.4507042253521127, |
| "eval_loss": 0.711009681224823, |
| "eval_runtime": 0.0911, |
| "eval_samples_per_second": 778.974, |
| "eval_steps_per_second": 10.971, |
| "step": 9 |
| }, |
| { |
| "epoch": 4.0, |
| "learning_rate": 4.633333333333333e-05, |
| "loss": 0.708, |
| "step": 12 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.5352112676056338, |
| "eval_loss": 0.7058689594268799, |
| "eval_runtime": 0.0936, |
| "eval_samples_per_second": 758.69, |
| "eval_steps_per_second": 10.686, |
| "step": 12 |
| }, |
| { |
| "epoch": 5.0, |
| "learning_rate": 4.566666666666667e-05, |
| "loss": 0.7032, |
| "step": 15 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.5352112676056338, |
| "eval_loss": 0.6924964189529419, |
| "eval_runtime": 0.0934, |
| "eval_samples_per_second": 759.999, |
| "eval_steps_per_second": 10.704, |
| "step": 15 |
| }, |
| { |
| "epoch": 6.0, |
| "learning_rate": 4.466666666666667e-05, |
| "loss": 0.6987, |
| "step": 18 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.4225352112676056, |
| "eval_loss": 0.712141215801239, |
| "eval_runtime": 0.09, |
| "eval_samples_per_second": 788.982, |
| "eval_steps_per_second": 11.112, |
| "step": 18 |
| }, |
| { |
| "epoch": 7.0, |
| "learning_rate": 4.3666666666666666e-05, |
| "loss": 0.7109, |
| "step": 21 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.5352112676056338, |
| "eval_loss": 0.692805826663971, |
| "eval_runtime": 0.093, |
| "eval_samples_per_second": 763.541, |
| "eval_steps_per_second": 10.754, |
| "step": 21 |
| }, |
| { |
| "epoch": 7.0, |
| "step": 21, |
| "total_flos": 553639999438848.0, |
| "train_loss": 0.7138732274373373, |
| "train_runtime": 38.2187, |
| "train_samples_per_second": 830.744, |
| "train_steps_per_second": 3.925 |
| } |
| ], |
| "max_steps": 150, |
| "num_train_epochs": 50, |
| "total_flos": 553639999438848.0, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
