| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0080645161290323, | |
| "eval_steps": 100, | |
| "global_step": 1000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.10080645161290322, | |
| "eval_accuracy": 0.08417928653841922, | |
| "eval_loss": 5.752899646759033, | |
| "eval_runtime": 62.0962, | |
| "eval_samples_per_second": 24.993, | |
| "eval_steps_per_second": 0.789, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.20161290322580644, | |
| "eval_accuracy": 0.08268329015442163, | |
| "eval_loss": 5.443298816680908, | |
| "eval_runtime": 62.0622, | |
| "eval_samples_per_second": 25.007, | |
| "eval_steps_per_second": 0.79, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.3024193548387097, | |
| "eval_accuracy": 0.07856146899875044, | |
| "eval_loss": 5.327319622039795, | |
| "eval_runtime": 62.0439, | |
| "eval_samples_per_second": 25.015, | |
| "eval_steps_per_second": 0.79, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.4032258064516129, | |
| "eval_accuracy": 0.07751066609990712, | |
| "eval_loss": 5.258698463439941, | |
| "eval_runtime": 62.0664, | |
| "eval_samples_per_second": 25.005, | |
| "eval_steps_per_second": 0.789, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.5040322580645161, | |
| "grad_norm": 1.46875, | |
| "learning_rate": 4.1599462365591404e-05, | |
| "loss": 5.571, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.5040322580645161, | |
| "eval_accuracy": 0.07672025056131017, | |
| "eval_loss": 5.229703426361084, | |
| "eval_runtime": 62.0987, | |
| "eval_samples_per_second": 24.992, | |
| "eval_steps_per_second": 0.789, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.6048387096774194, | |
| "eval_accuracy": 0.0763650434369539, | |
| "eval_loss": 5.196520805358887, | |
| "eval_runtime": 62.0653, | |
| "eval_samples_per_second": 25.006, | |
| "eval_steps_per_second": 0.789, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.7056451612903226, | |
| "eval_accuracy": 0.077187363334036, | |
| "eval_loss": 5.175901889801025, | |
| "eval_runtime": 62.0756, | |
| "eval_samples_per_second": 25.002, | |
| "eval_steps_per_second": 0.789, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.8064516129032258, | |
| "eval_accuracy": 0.07545865092754048, | |
| "eval_loss": 5.157538890838623, | |
| "eval_runtime": 62.0379, | |
| "eval_samples_per_second": 25.017, | |
| "eval_steps_per_second": 0.79, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.907258064516129, | |
| "eval_accuracy": 0.07520929443264239, | |
| "eval_loss": 5.153995037078857, | |
| "eval_runtime": 62.0048, | |
| "eval_samples_per_second": 25.03, | |
| "eval_steps_per_second": 0.79, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.0080645161290323, | |
| "grad_norm": 1.546875, | |
| "learning_rate": 3.31989247311828e-05, | |
| "loss": 5.1997, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.0080645161290323, | |
| "eval_accuracy": 0.07693396983438175, | |
| "eval_loss": 5.134342670440674, | |
| "eval_runtime": 62.0173, | |
| "eval_samples_per_second": 25.025, | |
| "eval_steps_per_second": 0.79, | |
| "step": 1000 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2976, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 200, | |
| "total_flos": 3.010369166298317e+16, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |