| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 59.922928709055874, |
| "eval_steps": 1866, |
| "global_step": 18660, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 5.992292870905588, |
| "grad_norm": 2.7764830589294434, |
| "learning_rate": 9.001607717041802e-06, |
| "loss": 2.4298, |
| "step": 1866 |
| }, |
| { |
| "epoch": 5.992292870905588, |
| "eval_accuracy": 0.043435941112057425, |
| "eval_loss": 3.7282466888427734, |
| "eval_runtime": 31.9019, |
| "eval_samples_per_second": 257.634, |
| "eval_steps_per_second": 6.457, |
| "step": 1866 |
| }, |
| { |
| "epoch": 11.984585741811175, |
| "grad_norm": 4.700397491455078, |
| "learning_rate": 8.001607717041802e-06, |
| "loss": 2.246, |
| "step": 3732 |
| }, |
| { |
| "epoch": 11.984585741811175, |
| "eval_accuracy": 0.037899987833069713, |
| "eval_loss": 3.9666006565093994, |
| "eval_runtime": 31.9111, |
| "eval_samples_per_second": 257.559, |
| "eval_steps_per_second": 6.455, |
| "step": 3732 |
| }, |
| { |
| "epoch": 17.976878612716764, |
| "grad_norm": 11.175146102905273, |
| "learning_rate": 7.002143622722402e-06, |
| "loss": 2.1293, |
| "step": 5598 |
| }, |
| { |
| "epoch": 17.976878612716764, |
| "eval_accuracy": 0.03601411363912885, |
| "eval_loss": 4.101926326751709, |
| "eval_runtime": 31.9673, |
| "eval_samples_per_second": 257.106, |
| "eval_steps_per_second": 6.444, |
| "step": 5598 |
| }, |
| { |
| "epoch": 23.96917148362235, |
| "grad_norm": 4.427066802978516, |
| "learning_rate": 6.002143622722402e-06, |
| "loss": 2.0539, |
| "step": 7464 |
| }, |
| { |
| "epoch": 23.96917148362235, |
| "eval_accuracy": 0.03516242851928458, |
| "eval_loss": 4.282138824462891, |
| "eval_runtime": 31.8094, |
| "eval_samples_per_second": 258.383, |
| "eval_steps_per_second": 6.476, |
| "step": 7464 |
| }, |
| { |
| "epoch": 29.961464354527937, |
| "grad_norm": 9.087589263916016, |
| "learning_rate": 5.002679528403002e-06, |
| "loss": 2.0135, |
| "step": 9330 |
| }, |
| { |
| "epoch": 29.961464354527937, |
| "eval_accuracy": 0.03452974814454313, |
| "eval_loss": 4.331849575042725, |
| "eval_runtime": 31.6904, |
| "eval_samples_per_second": 259.353, |
| "eval_steps_per_second": 6.5, |
| "step": 9330 |
| }, |
| { |
| "epoch": 35.95375722543353, |
| "grad_norm": 5.957192420959473, |
| "learning_rate": 4.003215434083601e-06, |
| "loss": 1.9879, |
| "step": 11196 |
| }, |
| { |
| "epoch": 35.95375722543353, |
| "eval_accuracy": 0.03414851766232713, |
| "eval_loss": 4.370044708251953, |
| "eval_runtime": 31.7505, |
| "eval_samples_per_second": 258.862, |
| "eval_steps_per_second": 6.488, |
| "step": 11196 |
| }, |
| { |
| "epoch": 41.946050096339114, |
| "grad_norm": 3.3914530277252197, |
| "learning_rate": 3.003215434083602e-06, |
| "loss": 1.9648, |
| "step": 13062 |
| }, |
| { |
| "epoch": 41.946050096339114, |
| "eval_accuracy": 0.03413693010967619, |
| "eval_loss": 4.461861610412598, |
| "eval_runtime": 31.7169, |
| "eval_samples_per_second": 259.137, |
| "eval_steps_per_second": 6.495, |
| "step": 13062 |
| }, |
| { |
| "epoch": 47.9383429672447, |
| "grad_norm": 5.636336326599121, |
| "learning_rate": 2.0037513397642016e-06, |
| "loss": 1.9495, |
| "step": 14928 |
| }, |
| { |
| "epoch": 47.9383429672447, |
| "eval_accuracy": 0.03411303078233362, |
| "eval_loss": 4.5998759269714355, |
| "eval_runtime": 31.8541, |
| "eval_samples_per_second": 258.02, |
| "eval_steps_per_second": 6.467, |
| "step": 14928 |
| }, |
| { |
| "epoch": 53.93063583815029, |
| "grad_norm": 1.326487421989441, |
| "learning_rate": 1.0042872454448018e-06, |
| "loss": 1.9391, |
| "step": 16794 |
| }, |
| { |
| "epoch": 53.93063583815029, |
| "eval_accuracy": 0.03390517905665734, |
| "eval_loss": 4.680637359619141, |
| "eval_runtime": 32.1441, |
| "eval_samples_per_second": 255.692, |
| "eval_steps_per_second": 6.409, |
| "step": 16794 |
| }, |
| { |
| "epoch": 59.922928709055874, |
| "grad_norm": 2.050564765930176, |
| "learning_rate": 4.82315112540193e-09, |
| "loss": 1.9372, |
| "step": 18660 |
| }, |
| { |
| "epoch": 59.922928709055874, |
| "eval_accuracy": 0.03361722837328142, |
| "eval_loss": 4.748708724975586, |
| "eval_runtime": 31.9078, |
| "eval_samples_per_second": 257.586, |
| "eval_steps_per_second": 6.456, |
| "step": 18660 |
| }, |
| { |
| "epoch": 59.922928709055874, |
| "step": 18660, |
| "total_flos": 1.4737892295759744e+18, |
| "train_loss": 2.065115170003517, |
| "train_runtime": 33403.3218, |
| "train_samples_per_second": 111.824, |
| "train_steps_per_second": 0.559 |
| } |
| ], |
| "logging_steps": 1866, |
| "max_steps": 18660, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 60, |
| "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": 1.4737892295759744e+18, |
| "train_batch_size": 40, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
