| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 10.0, | |
| "eval_steps": 500, | |
| "global_step": 9040, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.19850963531373816, | |
| "eval_loss": 5.1191253662109375, | |
| "eval_runtime": 4.3448, | |
| "eval_samples_per_second": 46.723, | |
| "eval_steps_per_second": 1.611, | |
| "step": 904 | |
| }, | |
| { | |
| "epoch": 1.1061946902654867, | |
| "grad_norm": 12336.87109375, | |
| "learning_rate": 0.0005993999999999999, | |
| "loss": 1.2803, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.21601611830372205, | |
| "eval_loss": 4.903479099273682, | |
| "eval_runtime": 3.919, | |
| "eval_samples_per_second": 51.798, | |
| "eval_steps_per_second": 1.786, | |
| "step": 1808 | |
| }, | |
| { | |
| "epoch": 2.2123893805309733, | |
| "grad_norm": 17902.7421875, | |
| "learning_rate": 0.0005254477611940299, | |
| "loss": 1.1443, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.21898527951567967, | |
| "eval_loss": 4.8314008712768555, | |
| "eval_runtime": 3.9099, | |
| "eval_samples_per_second": 51.919, | |
| "eval_steps_per_second": 1.79, | |
| "step": 2712 | |
| }, | |
| { | |
| "epoch": 3.3185840707964602, | |
| "grad_norm": 28265.408203125, | |
| "learning_rate": 0.00045082089552238807, | |
| "loss": 1.1125, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.2254923698340933, | |
| "eval_loss": 4.771282196044922, | |
| "eval_runtime": 3.9059, | |
| "eval_samples_per_second": 51.973, | |
| "eval_steps_per_second": 1.792, | |
| "step": 3616 | |
| }, | |
| { | |
| "epoch": 4.424778761061947, | |
| "grad_norm": 25827.923828125, | |
| "learning_rate": 0.0003761940298507462, | |
| "loss": 1.099, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.23474689828694822, | |
| "eval_loss": 4.695719242095947, | |
| "eval_runtime": 3.9271, | |
| "eval_samples_per_second": 51.692, | |
| "eval_steps_per_second": 1.782, | |
| "step": 4520 | |
| }, | |
| { | |
| "epoch": 5.530973451327434, | |
| "grad_norm": 29887.09765625, | |
| "learning_rate": 0.00030156716417910443, | |
| "loss": 1.0789, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.24265180800709513, | |
| "eval_loss": 4.621862888336182, | |
| "eval_runtime": 3.9341, | |
| "eval_samples_per_second": 51.6, | |
| "eval_steps_per_second": 1.779, | |
| "step": 5424 | |
| }, | |
| { | |
| "epoch": 6.6371681415929205, | |
| "grad_norm": 21937.826171875, | |
| "learning_rate": 0.0002269402985074627, | |
| "loss": 1.0579, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.250710959868123, | |
| "eval_loss": 4.546590805053711, | |
| "eval_runtime": 3.9246, | |
| "eval_samples_per_second": 51.725, | |
| "eval_steps_per_second": 1.784, | |
| "step": 6328 | |
| }, | |
| { | |
| "epoch": 7.743362831858407, | |
| "grad_norm": 15053.748046875, | |
| "learning_rate": 0.00015231343283582087, | |
| "loss": 1.0332, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.2598980073843425, | |
| "eval_loss": 4.459190845489502, | |
| "eval_runtime": 3.9202, | |
| "eval_samples_per_second": 51.784, | |
| "eval_steps_per_second": 1.786, | |
| "step": 7232 | |
| }, | |
| { | |
| "epoch": 8.849557522123893, | |
| "grad_norm": 13792.96484375, | |
| "learning_rate": 7.76865671641791e-05, | |
| "loss": 1.0096, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.2669931458648646, | |
| "eval_loss": 4.392664909362793, | |
| "eval_runtime": 3.9151, | |
| "eval_samples_per_second": 51.851, | |
| "eval_steps_per_second": 1.788, | |
| "step": 8136 | |
| }, | |
| { | |
| "epoch": 9.955752212389381, | |
| "grad_norm": 12945.439453125, | |
| "learning_rate": 3.0597014925373133e-06, | |
| "loss": 0.9929, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.2705117947037105, | |
| "eval_loss": 4.354263782501221, | |
| "eval_runtime": 3.9272, | |
| "eval_samples_per_second": 51.691, | |
| "eval_steps_per_second": 1.782, | |
| "step": 9040 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 9040, | |
| "total_flos": 7.55264618496e+16, | |
| "train_loss": 1.0894328868494625, | |
| "train_runtime": 8807.3219, | |
| "train_samples_per_second": 32.819, | |
| "train_steps_per_second": 1.026 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 9040, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "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": 7.55264618496e+16, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |