| { | |
| "best_metric": 1.0610467195510864, | |
| "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_logit_kd_qnli_256/checkpoint-3276", | |
| "epoch": 9.0, | |
| "global_step": 7371, | |
| "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": 1.1396, | |
| "step": 819 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.061155080795288, | |
| "eval_runtime": 11.9927, | |
| "eval_samples_per_second": 455.526, | |
| "eval_steps_per_second": 3.586, | |
| "step": 819 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 4.8e-05, | |
| "loss": 1.1393, | |
| "step": 1638 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0610756874084473, | |
| "eval_runtime": 11.9855, | |
| "eval_samples_per_second": 455.799, | |
| "eval_steps_per_second": 3.588, | |
| "step": 1638 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.7e-05, | |
| "loss": 1.1393, | |
| "step": 2457 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0616600513458252, | |
| "eval_runtime": 12.0036, | |
| "eval_samples_per_second": 455.112, | |
| "eval_steps_per_second": 3.582, | |
| "step": 2457 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 1.1393, | |
| "step": 3276 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0610467195510864, | |
| "eval_runtime": 12.0579, | |
| "eval_samples_per_second": 453.063, | |
| "eval_steps_per_second": 3.566, | |
| "step": 3276 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.5e-05, | |
| "loss": 1.1394, | |
| "step": 4095 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0612071752548218, | |
| "eval_runtime": 12.0792, | |
| "eval_samples_per_second": 452.264, | |
| "eval_steps_per_second": 3.56, | |
| "step": 4095 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 1.1393, | |
| "step": 4914 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0612789392471313, | |
| "eval_runtime": 11.9193, | |
| "eval_samples_per_second": 458.331, | |
| "eval_steps_per_second": 3.608, | |
| "step": 4914 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.3e-05, | |
| "loss": 1.1393, | |
| "step": 5733 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0614013671875, | |
| "eval_runtime": 11.9153, | |
| "eval_samples_per_second": 458.485, | |
| "eval_steps_per_second": 3.609, | |
| "step": 5733 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.2e-05, | |
| "loss": 1.1393, | |
| "step": 6552 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.061530351638794, | |
| "eval_runtime": 11.9396, | |
| "eval_samples_per_second": 457.555, | |
| "eval_steps_per_second": 3.601, | |
| "step": 6552 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.1e-05, | |
| "loss": 1.1392, | |
| "step": 7371 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5053999633900788, | |
| "eval_loss": 1.0610854625701904, | |
| "eval_runtime": 12.0583, | |
| "eval_samples_per_second": 453.047, | |
| "eval_steps_per_second": 3.566, | |
| "step": 7371 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "step": 7371, | |
| "total_flos": 2.4297959017414656e+16, | |
| "train_loss": 1.1393204408137676, | |
| "train_runtime": 5554.7339, | |
| "train_samples_per_second": 942.826, | |
| "train_steps_per_second": 7.372 | |
| } | |
| ], | |
| "max_steps": 40950, | |
| "num_train_epochs": 50, | |
| "total_flos": 2.4297959017414656e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |