| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.427584953661639, | |
| "eval_steps": 1000, | |
| "global_step": 9412, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.00018171906232963838, | |
| "grad_norm": 7.298370361328125, | |
| "learning_rate": 0.0, | |
| "loss": 3.0984, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.1817190623296384, | |
| "grad_norm": 6.053193092346191, | |
| "learning_rate": 3.6307468653461755e-06, | |
| "loss": 2.7134, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.1817190623296384, | |
| "eval_cosine_accuracy": 0.9391103386878967, | |
| "eval_loss": 1.3783869743347168, | |
| "eval_runtime": 18.26, | |
| "eval_samples_per_second": 520.755, | |
| "eval_steps_per_second": 4.107, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.3634381246592768, | |
| "grad_norm": 5.73389196395874, | |
| "learning_rate": 7.265128111938943e-06, | |
| "loss": 2.1597, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.3634381246592768, | |
| "eval_cosine_accuracy": 0.9412136077880859, | |
| "eval_loss": 1.2863198518753052, | |
| "eval_runtime": 18.0791, | |
| "eval_samples_per_second": 525.968, | |
| "eval_steps_per_second": 4.148, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.117572233327276, | |
| "grad_norm": 5.810453414916992, | |
| "learning_rate": 1.089950935853171e-05, | |
| "loss": 1.8694, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.117572233327276, | |
| "eval_cosine_accuracy": 0.9422652125358582, | |
| "eval_loss": 1.2363770008087158, | |
| "eval_runtime": 18.2075, | |
| "eval_samples_per_second": 522.257, | |
| "eval_steps_per_second": 4.119, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.2992912956569145, | |
| "grad_norm": 5.974574089050293, | |
| "learning_rate": 1.4533890605124479e-05, | |
| "loss": 1.6564, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.2992912956569145, | |
| "eval_cosine_accuracy": 0.9448943138122559, | |
| "eval_loss": 1.18900728225708, | |
| "eval_runtime": 18.0459, | |
| "eval_samples_per_second": 526.935, | |
| "eval_steps_per_second": 4.156, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.053425404324914, | |
| "grad_norm": 6.072054386138916, | |
| "learning_rate": 1.8164637470470654e-05, | |
| "loss": 1.4993, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.053425404324914, | |
| "eval_cosine_accuracy": 0.9467872381210327, | |
| "eval_loss": 1.1734814643859863, | |
| "eval_runtime": 18.1595, | |
| "eval_samples_per_second": 523.638, | |
| "eval_steps_per_second": 4.13, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.235144466654552, | |
| "grad_norm": 5.4134297370910645, | |
| "learning_rate": 1.9550245320734146e-05, | |
| "loss": 1.3577, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.235144466654552, | |
| "eval_cosine_accuracy": 0.9507834911346436, | |
| "eval_loss": 1.1353392601013184, | |
| "eval_runtime": 19.0833, | |
| "eval_samples_per_second": 498.29, | |
| "eval_steps_per_second": 3.93, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.4168635289841904, | |
| "grad_norm": 5.546666145324707, | |
| "learning_rate": 1.8642558604397603e-05, | |
| "loss": 1.2577, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 2.4168635289841904, | |
| "eval_cosine_accuracy": 0.953517735004425, | |
| "eval_loss": 1.1202903985977173, | |
| "eval_runtime": 18.369, | |
| "eval_samples_per_second": 517.667, | |
| "eval_steps_per_second": 4.083, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.1709976376521896, | |
| "grad_norm": 5.281265735626221, | |
| "learning_rate": 1.773396329274941e-05, | |
| "loss": 1.1667, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.1709976376521896, | |
| "eval_cosine_accuracy": 0.9548848271369934, | |
| "eval_loss": 1.1058506965637207, | |
| "eval_runtime": 18.194, | |
| "eval_samples_per_second": 522.645, | |
| "eval_steps_per_second": 4.122, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.352716699981828, | |
| "grad_norm": 6.0141777992248535, | |
| "learning_rate": 1.682627657641287e-05, | |
| "loss": 1.1052, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 3.352716699981828, | |
| "eval_cosine_accuracy": 0.9570932984352112, | |
| "eval_loss": 1.104658603668213, | |
| "eval_runtime": 18.2305, | |
| "eval_samples_per_second": 521.599, | |
| "eval_steps_per_second": 4.114, | |
| "step": 9000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 27515, | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 128, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |