| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 5.0, |
| "eval_steps": 1000, |
| "global_step": 12653, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.00039541320680110717, |
| "grad_norm": 6.574801445007324, |
| "learning_rate": 0.0, |
| "loss": 4.3129, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.39541320680110714, |
| "grad_norm": 6.2015180587768555, |
| "learning_rate": 9.871541501976284e-06, |
| "loss": 3.298, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.39541320680110714, |
| "eval_cosine_accuracy": 0.9471027255058289, |
| "eval_loss": 0.5520303249359131, |
| "eval_runtime": 36.3857, |
| "eval_samples_per_second": 261.339, |
| "eval_steps_per_second": 1.044, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.7908264136022143, |
| "grad_norm": 8.382867813110352, |
| "learning_rate": 1.9752964426877474e-05, |
| "loss": 1.9673, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.7908264136022143, |
| "eval_cosine_accuracy": 0.953938364982605, |
| "eval_loss": 0.4995275139808655, |
| "eval_runtime": 34.9654, |
| "eval_samples_per_second": 271.955, |
| "eval_steps_per_second": 1.087, |
| "step": 2000 |
| }, |
| { |
| "epoch": 1.1860924535756618, |
| "grad_norm": 6.899052619934082, |
| "learning_rate": 1.8930140597539545e-05, |
| "loss": 1.5646, |
| "step": 3000 |
| }, |
| { |
| "epoch": 1.1860924535756618, |
| "eval_cosine_accuracy": 0.9593017101287842, |
| "eval_loss": 0.4840952455997467, |
| "eval_runtime": 34.4403, |
| "eval_samples_per_second": 276.101, |
| "eval_steps_per_second": 1.103, |
| "step": 3000 |
| }, |
| { |
| "epoch": 1.581193204267088, |
| "grad_norm": 6.6706132888793945, |
| "learning_rate": 1.7831722319859405e-05, |
| "loss": 1.5836, |
| "step": 4000 |
| }, |
| { |
| "epoch": 1.581193204267088, |
| "eval_cosine_accuracy": 0.962666928768158, |
| "eval_loss": 0.4643610715866089, |
| "eval_runtime": 34.4996, |
| "eval_samples_per_second": 275.627, |
| "eval_steps_per_second": 1.101, |
| "step": 4000 |
| }, |
| { |
| "epoch": 1.9762939549585146, |
| "grad_norm": 6.573458194732666, |
| "learning_rate": 1.6733304042179265e-05, |
| "loss": 1.4401, |
| "step": 5000 |
| }, |
| { |
| "epoch": 1.9762939549585146, |
| "eval_cosine_accuracy": 0.9638237357139587, |
| "eval_loss": 0.44956663250923157, |
| "eval_runtime": 34.8836, |
| "eval_samples_per_second": 272.593, |
| "eval_steps_per_second": 1.089, |
| "step": 5000 |
| }, |
| { |
| "epoch": 2.3713947056499407, |
| "grad_norm": 5.309902191162109, |
| "learning_rate": 1.5634885764499125e-05, |
| "loss": 1.2966, |
| "step": 6000 |
| }, |
| { |
| "epoch": 2.3713947056499407, |
| "eval_cosine_accuracy": 0.9671889543533325, |
| "eval_loss": 0.4553391933441162, |
| "eval_runtime": 34.4231, |
| "eval_samples_per_second": 276.239, |
| "eval_steps_per_second": 1.104, |
| "step": 6000 |
| }, |
| { |
| "epoch": 2.7664954563413673, |
| "grad_norm": 5.066314220428467, |
| "learning_rate": 1.4538664323374343e-05, |
| "loss": 1.2287, |
| "step": 7000 |
| }, |
| { |
| "epoch": 2.7664954563413673, |
| "eval_cosine_accuracy": 0.9656115174293518, |
| "eval_loss": 0.443572074174881, |
| "eval_runtime": 34.6972, |
| "eval_samples_per_second": 274.057, |
| "eval_steps_per_second": 1.095, |
| "step": 7000 |
| }, |
| { |
| "epoch": 3.1615962070327934, |
| "grad_norm": 5.241501331329346, |
| "learning_rate": 1.34402460456942e-05, |
| "loss": 1.1559, |
| "step": 8000 |
| }, |
| { |
| "epoch": 3.1615962070327934, |
| "eval_cosine_accuracy": 0.9663476943969727, |
| "eval_loss": 0.44341471791267395, |
| "eval_runtime": 34.4306, |
| "eval_samples_per_second": 276.179, |
| "eval_steps_per_second": 1.104, |
| "step": 8000 |
| }, |
| { |
| "epoch": 3.5566969577242196, |
| "grad_norm": 4.690669059753418, |
| "learning_rate": 1.234182776801406e-05, |
| "loss": 1.1011, |
| "step": 9000 |
| }, |
| { |
| "epoch": 3.5566969577242196, |
| "eval_cosine_accuracy": 0.9673992991447449, |
| "eval_loss": 0.4327247738838196, |
| "eval_runtime": 34.3296, |
| "eval_samples_per_second": 276.991, |
| "eval_steps_per_second": 1.107, |
| "step": 9000 |
| }, |
| { |
| "epoch": 3.951797708415646, |
| "grad_norm": 8.417939186096191, |
| "learning_rate": 1.124340949033392e-05, |
| "loss": 1.0585, |
| "step": 10000 |
| }, |
| { |
| "epoch": 3.951797708415646, |
| "eval_cosine_accuracy": 0.9675044417381287, |
| "eval_loss": 0.43402087688446045, |
| "eval_runtime": 34.3458, |
| "eval_samples_per_second": 276.86, |
| "eval_steps_per_second": 1.106, |
| "step": 10000 |
| }, |
| { |
| "epoch": 4.346898459107072, |
| "grad_norm": 5.533106327056885, |
| "learning_rate": 1.014608963093146e-05, |
| "loss": 1.0006, |
| "step": 11000 |
| }, |
| { |
| "epoch": 4.346898459107072, |
| "eval_cosine_accuracy": 0.9684509634971619, |
| "eval_loss": 0.42998796701431274, |
| "eval_runtime": 35.621, |
| "eval_samples_per_second": 266.95, |
| "eval_steps_per_second": 1.067, |
| "step": 11000 |
| }, |
| { |
| "epoch": 4.741999209798498, |
| "grad_norm": 5.348298072814941, |
| "learning_rate": 9.047671353251318e-06, |
| "loss": 0.9839, |
| "step": 12000 |
| }, |
| { |
| "epoch": 4.741999209798498, |
| "eval_cosine_accuracy": 0.9686612486839294, |
| "eval_loss": 0.42643481492996216, |
| "eval_runtime": 34.294, |
| "eval_samples_per_second": 277.279, |
| "eval_steps_per_second": 1.108, |
| "step": 12000 |
| } |
| ], |
| "logging_steps": 1000, |
| "max_steps": 20232, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 8, |
| "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": 256, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
