| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 5695, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.000877963125548727, | |
| "grad_norm": 9.281822204589844, | |
| "learning_rate": 0.0, | |
| "loss": 5.8495, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 8.733197212219238, | |
| "learning_rate": 5e-05, | |
| "loss": 3.0136, | |
| "step": 1139 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_cosine_accuracy": 0.9113098382949829, | |
| "eval_loss": 0.8482398986816406, | |
| "eval_runtime": 34.6129, | |
| "eval_samples_per_second": 274.608, | |
| "eval_steps_per_second": 1.098, | |
| "step": 1139 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 8.863326072692871, | |
| "learning_rate": 2.5010969723562967e-05, | |
| "loss": 2.2096, | |
| "step": 2278 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_cosine_accuracy": 0.9241451621055603, | |
| "eval_loss": 0.7464810013771057, | |
| "eval_runtime": 34.2459, | |
| "eval_samples_per_second": 277.551, | |
| "eval_steps_per_second": 1.11, | |
| "step": 2278 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 10.734906196594238, | |
| "learning_rate": 2.1939447125932427e-08, | |
| "loss": 1.966, | |
| "step": 3417 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_cosine_accuracy": 0.9337190985679626, | |
| "eval_loss": 0.6979679465293884, | |
| "eval_runtime": 34.569, | |
| "eval_samples_per_second": 274.957, | |
| "eval_steps_per_second": 1.099, | |
| "step": 3417 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 9.933394432067871, | |
| "learning_rate": 1.251920122887865e-05, | |
| "loss": 1.8731, | |
| "step": 4556 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_cosine_accuracy": 0.9330878257751465, | |
| "eval_loss": 0.700294554233551, | |
| "eval_runtime": 33.7886, | |
| "eval_samples_per_second": 281.308, | |
| "eval_steps_per_second": 1.125, | |
| "step": 4556 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 8.708077430725098, | |
| "learning_rate": 2.1944261575597982e-08, | |
| "loss": 1.7998, | |
| "step": 5695 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_cosine_accuracy": 0.9403471946716309, | |
| "eval_loss": 0.6516265273094177, | |
| "eval_runtime": 33.9685, | |
| "eval_samples_per_second": 279.818, | |
| "eval_steps_per_second": 1.119, | |
| "step": 5695 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 5695, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "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 | |
| } | |