| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.9992831541218639, | |
| "eval_steps": 1000, | |
| "global_step": 5576, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0003586800573888092, | |
| "grad_norm": 5.261780738830566, | |
| "learning_rate": 0.0, | |
| "loss": 1.248, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.3586800573888092, | |
| "grad_norm": 6.529983043670654, | |
| "learning_rate": 4.562574730968513e-05, | |
| "loss": 1.223, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.3586800573888092, | |
| "eval_cosine_accuracy": 0.9625617861747742, | |
| "eval_loss": 0.4690546989440918, | |
| "eval_runtime": 59.1908, | |
| "eval_samples_per_second": 160.65, | |
| "eval_steps_per_second": 0.642, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.7173601147776184, | |
| "grad_norm": 5.523382186889648, | |
| "learning_rate": 3.5661618174571546e-05, | |
| "loss": 0.8193, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.7173601147776184, | |
| "eval_cosine_accuracy": 0.9603533744812012, | |
| "eval_loss": 0.44776350259780884, | |
| "eval_runtime": 56.9539, | |
| "eval_samples_per_second": 166.959, | |
| "eval_steps_per_second": 0.667, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.0759856630824374, | |
| "grad_norm": 4.964259147644043, | |
| "learning_rate": 2.569748903945795e-05, | |
| "loss": 0.6847, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.0759856630824374, | |
| "eval_cosine_accuracy": 0.9650856852531433, | |
| "eval_loss": 0.44899600744247437, | |
| "eval_runtime": 57.5082, | |
| "eval_samples_per_second": 165.35, | |
| "eval_steps_per_second": 0.661, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.4344086021505376, | |
| "grad_norm": 4.930419445037842, | |
| "learning_rate": 1.5743324033479476e-05, | |
| "loss": 0.7661, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.4344086021505376, | |
| "eval_cosine_accuracy": 0.9645599126815796, | |
| "eval_loss": 0.4399823844432831, | |
| "eval_runtime": 57.6844, | |
| "eval_samples_per_second": 164.845, | |
| "eval_steps_per_second": 0.659, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.792831541218638, | |
| "grad_norm": 5.024491310119629, | |
| "learning_rate": 5.779194898365883e-06, | |
| "loss": 0.7319, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.792831541218638, | |
| "eval_cosine_accuracy": 0.9647701978683472, | |
| "eval_loss": 0.4436001181602478, | |
| "eval_runtime": 59.2822, | |
| "eval_samples_per_second": 160.402, | |
| "eval_steps_per_second": 0.641, | |
| "step": 5000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 5576, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |