| { | |
| "best_metric": 1.2424818277359009, | |
| "best_model_checkpoint": "/content/pubmedbert-abstract-cord19/checkpoint-5000", | |
| "epoch": 4.0, | |
| "global_step": 37788, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 2.4970000000000003e-05, | |
| "loss": 1.27, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.7236279677533664, | |
| "eval_loss": 1.2424818277359009, | |
| "eval_runtime": 183.46, | |
| "eval_samples_per_second": 44.206, | |
| "eval_steps_per_second": 2.764, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 4.9965e-05, | |
| "loss": 1.2634, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.7140570760001546, | |
| "eval_loss": 1.312286138534546, | |
| "eval_runtime": 183.3534, | |
| "eval_samples_per_second": 44.232, | |
| "eval_steps_per_second": 2.765, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 4.1024902835756445e-05, | |
| "loss": 1.3041, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.7072068247593172, | |
| "eval_loss": 1.3583375215530396, | |
| "eval_runtime": 183.3479, | |
| "eval_samples_per_second": 44.233, | |
| "eval_steps_per_second": 2.765, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 3.2033611630919824e-05, | |
| "loss": 1.3829, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "eval_accuracy": 0.7120832508972437, | |
| "eval_loss": 1.3589657545089722, | |
| "eval_runtime": 183.3751, | |
| "eval_samples_per_second": 44.226, | |
| "eval_steps_per_second": 2.765, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 2.303692241255218e-05, | |
| "loss": 1.3069, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "eval_accuracy": 0.7153998687867195, | |
| "eval_loss": 1.3505500555038452, | |
| "eval_runtime": 183.3915, | |
| "eval_samples_per_second": 44.222, | |
| "eval_steps_per_second": 2.765, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 1.4040233194184541e-05, | |
| "loss": 1.2921, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "eval_accuracy": 0.7159658967235916, | |
| "eval_loss": 1.3447710275650024, | |
| "eval_runtime": 183.3443, | |
| "eval_samples_per_second": 44.234, | |
| "eval_steps_per_second": 2.765, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "learning_rate": 5.0471426515042465e-06, | |
| "loss": 1.2731, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "eval_accuracy": 0.7177905274023574, | |
| "eval_loss": 1.3374903202056885, | |
| "eval_runtime": 183.3182, | |
| "eval_samples_per_second": 44.24, | |
| "eval_steps_per_second": 2.766, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "step": 37788, | |
| "total_flos": 1.3985984051532e+17, | |
| "train_loss": 1.2965481223991413, | |
| "train_runtime": 37723.3327, | |
| "train_samples_per_second": 16.027, | |
| "train_steps_per_second": 1.002 | |
| } | |
| ], | |
| "max_steps": 37788, | |
| "num_train_epochs": 4, | |
| "total_flos": 1.3985984051532e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |