| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 0.14201183431952663, |
| "eval_steps": 20, |
| "global_step": 120, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.001183431952662722, |
| "eval_loss": 10.566378593444824, |
| "eval_runtime": 1.9917, |
| "eval_samples_per_second": 754.145, |
| "eval_steps_per_second": 47.197, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.011834319526627219, |
| "grad_norm": 6.460504531860352, |
| "learning_rate": 1.6000000000000003e-05, |
| "loss": 10.5689, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.023668639053254437, |
| "grad_norm": 4.217194557189941, |
| "learning_rate": 3.2000000000000005e-05, |
| "loss": 10.5293, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.023668639053254437, |
| "eval_loss": 10.470946311950684, |
| "eval_runtime": 1.962, |
| "eval_samples_per_second": 765.537, |
| "eval_steps_per_second": 47.91, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.03550295857988166, |
| "grad_norm": 7.088407039642334, |
| "learning_rate": 4.8e-05, |
| "loss": 10.3793, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.047337278106508875, |
| "grad_norm": 4.761963844299316, |
| "learning_rate": 6.400000000000001e-05, |
| "loss": 9.924, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.047337278106508875, |
| "eval_loss": 9.448060035705566, |
| "eval_runtime": 2.0352, |
| "eval_samples_per_second": 738.016, |
| "eval_steps_per_second": 46.187, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.05917159763313609, |
| "grad_norm": 5.449029922485352, |
| "learning_rate": 8e-05, |
| "loss": 8.9682, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.07100591715976332, |
| "grad_norm": 2.087066173553467, |
| "learning_rate": 9.6e-05, |
| "loss": 8.2576, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.07100591715976332, |
| "eval_loss": 7.836277961730957, |
| "eval_runtime": 2.012, |
| "eval_samples_per_second": 746.529, |
| "eval_steps_per_second": 46.72, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.08284023668639054, |
| "grad_norm": 1.812099575996399, |
| "learning_rate": 0.00011200000000000001, |
| "loss": 7.6596, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.09467455621301775, |
| "grad_norm": 2.425971269607544, |
| "learning_rate": 0.00012800000000000002, |
| "loss": 7.4757, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.09467455621301775, |
| "eval_loss": 7.445075988769531, |
| "eval_runtime": 2.0477, |
| "eval_samples_per_second": 733.507, |
| "eval_steps_per_second": 45.905, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.10650887573964497, |
| "grad_norm": 1.7427077293395996, |
| "learning_rate": 0.000144, |
| "loss": 7.4227, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.11834319526627218, |
| "grad_norm": 5.246922492980957, |
| "learning_rate": 0.00016, |
| "loss": 7.2513, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.11834319526627218, |
| "eval_loss": 7.342855930328369, |
| "eval_runtime": 1.997, |
| "eval_samples_per_second": 752.143, |
| "eval_steps_per_second": 47.072, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.1301775147928994, |
| "grad_norm": 2.3408617973327637, |
| "learning_rate": 0.00017600000000000002, |
| "loss": 7.3941, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.14201183431952663, |
| "grad_norm": 2.138099431991577, |
| "learning_rate": 0.000192, |
| "loss": 7.1604, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.14201183431952663, |
| "eval_loss": 7.194538593292236, |
| "eval_runtime": 1.9979, |
| "eval_samples_per_second": 751.783, |
| "eval_steps_per_second": 47.049, |
| "step": 120 |
| } |
| ], |
| "logging_steps": 10, |
| "max_steps": 2500, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "save_steps": 40, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 5058714486702080.0, |
| "train_batch_size": 2, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|