| { |
| "best_global_step": 6, |
| "best_metric": 0.6948724985122681, |
| "best_model_checkpoint": "tiny_bert_rand_10_v2_wnli/checkpoint-6", |
| "epoch": 7.0, |
| "eval_steps": 500, |
| "global_step": 21, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 1.6399606466293335, |
| "learning_rate": 4.9e-05, |
| "loss": 0.7086, |
| "step": 3 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.43661971830985913, |
| "eval_loss": 0.710277259349823, |
| "eval_runtime": 0.0333, |
| "eval_samples_per_second": 2129.576, |
| "eval_steps_per_second": 29.994, |
| "step": 3 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 0.49827128648757935, |
| "learning_rate": 4.8e-05, |
| "loss": 0.6975, |
| "step": 6 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.5633802816901409, |
| "eval_loss": 0.6948724985122681, |
| "eval_runtime": 0.0315, |
| "eval_samples_per_second": 2252.819, |
| "eval_steps_per_second": 31.73, |
| "step": 6 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.573650598526001, |
| "learning_rate": 4.7e-05, |
| "loss": 0.6997, |
| "step": 9 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.4788732394366197, |
| "eval_loss": 0.7018594145774841, |
| "eval_runtime": 0.0336, |
| "eval_samples_per_second": 2111.097, |
| "eval_steps_per_second": 29.734, |
| "step": 9 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 0.6902194023132324, |
| "learning_rate": 4.600000000000001e-05, |
| "loss": 0.696, |
| "step": 12 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.323943661971831, |
| "eval_loss": 0.7099470496177673, |
| "eval_runtime": 0.0321, |
| "eval_samples_per_second": 2213.221, |
| "eval_steps_per_second": 31.172, |
| "step": 12 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 0.6926400065422058, |
| "learning_rate": 4.5e-05, |
| "loss": 0.6961, |
| "step": 15 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.352112676056338, |
| "eval_loss": 0.7143486142158508, |
| "eval_runtime": 0.0319, |
| "eval_samples_per_second": 2225.112, |
| "eval_steps_per_second": 31.34, |
| "step": 15 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 0.8389093279838562, |
| "learning_rate": 4.4000000000000006e-05, |
| "loss": 0.6925, |
| "step": 18 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.352112676056338, |
| "eval_loss": 0.7172093987464905, |
| "eval_runtime": 0.0311, |
| "eval_samples_per_second": 2282.326, |
| "eval_steps_per_second": 32.145, |
| "step": 18 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 0.4832870364189148, |
| "learning_rate": 4.3e-05, |
| "loss": 0.695, |
| "step": 21 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.4507042253521127, |
| "eval_loss": 0.7171546220779419, |
| "eval_runtime": 0.0309, |
| "eval_samples_per_second": 2301.072, |
| "eval_steps_per_second": 32.409, |
| "step": 21 |
| }, |
| { |
| "epoch": 7.0, |
| "step": 21, |
| "total_flos": 116563804707840.0, |
| "train_loss": 0.6979138510567802, |
| "train_runtime": 7.8489, |
| "train_samples_per_second": 4045.176, |
| "train_steps_per_second": 19.111 |
| } |
| ], |
| "logging_steps": 1, |
| "max_steps": 150, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 50, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "EarlyStoppingCallback": { |
| "args": { |
| "early_stopping_patience": 5, |
| "early_stopping_threshold": 0.0 |
| }, |
| "attributes": { |
| "early_stopping_patience_counter": 5 |
| } |
| }, |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 116563804707840.0, |
| "train_batch_size": 256, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
