{ | |
"best_metric": null, | |
"best_model_checkpoint": null, | |
"epoch": 0.9990680335507922, | |
"eval_steps": 500, | |
"global_step": 67, | |
"is_hyper_param_search": false, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 0.03, | |
"learning_rate": 0.0002, | |
"loss": 2.4703, | |
"step": 2 | |
}, | |
{ | |
"epoch": 0.06, | |
"learning_rate": 0.0002, | |
"loss": 2.1197, | |
"step": 4 | |
}, | |
{ | |
"epoch": 0.09, | |
"learning_rate": 0.0002, | |
"loss": 1.7723, | |
"step": 6 | |
}, | |
{ | |
"epoch": 0.12, | |
"learning_rate": 0.0002, | |
"loss": 1.7626, | |
"step": 8 | |
}, | |
{ | |
"epoch": 0.15, | |
"learning_rate": 0.0002, | |
"loss": 1.852, | |
"step": 10 | |
}, | |
{ | |
"epoch": 0.18, | |
"learning_rate": 0.0002, | |
"loss": 1.8027, | |
"step": 12 | |
}, | |
{ | |
"epoch": 0.21, | |
"learning_rate": 0.0002, | |
"loss": 1.9243, | |
"step": 14 | |
}, | |
{ | |
"epoch": 0.24, | |
"learning_rate": 0.0002, | |
"loss": 2.0395, | |
"step": 16 | |
}, | |
{ | |
"epoch": 0.27, | |
"learning_rate": 0.0002, | |
"loss": 2.0185, | |
"step": 18 | |
}, | |
{ | |
"epoch": 0.3, | |
"learning_rate": 0.0002, | |
"loss": 1.7649, | |
"step": 20 | |
}, | |
{ | |
"epoch": 0.33, | |
"learning_rate": 0.0002, | |
"loss": 1.884, | |
"step": 22 | |
}, | |
{ | |
"epoch": 0.36, | |
"learning_rate": 0.0002, | |
"loss": 1.7038, | |
"step": 24 | |
}, | |
{ | |
"epoch": 0.39, | |
"learning_rate": 0.0002, | |
"loss": 1.4675, | |
"step": 26 | |
}, | |
{ | |
"epoch": 0.42, | |
"learning_rate": 0.0002, | |
"loss": 1.6643, | |
"step": 28 | |
}, | |
{ | |
"epoch": 0.45, | |
"learning_rate": 0.0002, | |
"loss": 1.8479, | |
"step": 30 | |
}, | |
{ | |
"epoch": 0.48, | |
"learning_rate": 0.0002, | |
"loss": 1.7631, | |
"step": 32 | |
}, | |
{ | |
"epoch": 0.51, | |
"learning_rate": 0.0002, | |
"loss": 2.289, | |
"step": 34 | |
}, | |
{ | |
"epoch": 0.54, | |
"learning_rate": 0.0002, | |
"loss": 1.7244, | |
"step": 36 | |
}, | |
{ | |
"epoch": 0.57, | |
"learning_rate": 0.0002, | |
"loss": 1.6199, | |
"step": 38 | |
}, | |
{ | |
"epoch": 0.6, | |
"learning_rate": 0.0002, | |
"loss": 1.8003, | |
"step": 40 | |
}, | |
{ | |
"epoch": 0.63, | |
"learning_rate": 0.0002, | |
"loss": 1.3866, | |
"step": 42 | |
}, | |
{ | |
"epoch": 0.66, | |
"learning_rate": 0.0002, | |
"loss": 1.5901, | |
"step": 44 | |
}, | |
{ | |
"epoch": 0.69, | |
"learning_rate": 0.0002, | |
"loss": 1.7516, | |
"step": 46 | |
}, | |
{ | |
"epoch": 0.72, | |
"learning_rate": 0.0002, | |
"loss": 1.5123, | |
"step": 48 | |
}, | |
{ | |
"epoch": 0.75, | |
"learning_rate": 0.0002, | |
"loss": 2.5375, | |
"step": 50 | |
}, | |
{ | |
"epoch": 0.78, | |
"learning_rate": 0.0002, | |
"loss": 1.8782, | |
"step": 52 | |
}, | |
{ | |
"epoch": 0.81, | |
"learning_rate": 0.0002, | |
"loss": 1.7455, | |
"step": 54 | |
}, | |
{ | |
"epoch": 0.84, | |
"learning_rate": 0.0002, | |
"loss": 1.7001, | |
"step": 56 | |
}, | |
{ | |
"epoch": 0.86, | |
"learning_rate": 0.0002, | |
"loss": 1.345, | |
"step": 58 | |
}, | |
{ | |
"epoch": 0.89, | |
"learning_rate": 0.0002, | |
"loss": 1.5965, | |
"step": 60 | |
}, | |
{ | |
"epoch": 0.92, | |
"learning_rate": 0.0002, | |
"loss": 1.7818, | |
"step": 62 | |
}, | |
{ | |
"epoch": 0.95, | |
"learning_rate": 0.0002, | |
"loss": 1.5499, | |
"step": 64 | |
}, | |
{ | |
"epoch": 0.98, | |
"learning_rate": 0.0002, | |
"loss": 1.9485, | |
"step": 66 | |
} | |
], | |
"logging_steps": 2, | |
"max_steps": 67, | |
"num_input_tokens_seen": 0, | |
"num_train_epochs": 1, | |
"save_steps": 500, | |
"total_flos": 2968886748168192.0, | |
"train_batch_size": 1, | |
"trial_name": null, | |
"trial_params": null | |
} | |