| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.037257824143070044, | |
| "eval_steps": 9, | |
| "global_step": 25, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0014903129657228018, | |
| "grad_norm": 2.0342986583709717, | |
| "learning_rate": 1e-05, | |
| "loss": 3.4859, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0014903129657228018, | |
| "eval_loss": 3.4842216968536377, | |
| "eval_runtime": 3.0911, | |
| "eval_samples_per_second": 182.782, | |
| "eval_steps_per_second": 22.969, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0029806259314456036, | |
| "grad_norm": 1.7465375661849976, | |
| "learning_rate": 2e-05, | |
| "loss": 3.4165, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.004470938897168405, | |
| "grad_norm": 1.9989283084869385, | |
| "learning_rate": 3e-05, | |
| "loss": 3.4885, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.005961251862891207, | |
| "grad_norm": 1.7901273965835571, | |
| "learning_rate": 4e-05, | |
| "loss": 3.388, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.007451564828614009, | |
| "grad_norm": 1.8343313932418823, | |
| "learning_rate": 5e-05, | |
| "loss": 3.4413, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.00894187779433681, | |
| "grad_norm": 1.9110901355743408, | |
| "learning_rate": 6e-05, | |
| "loss": 3.4883, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.010432190760059613, | |
| "grad_norm": 1.8050709962844849, | |
| "learning_rate": 7e-05, | |
| "loss": 3.4939, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.011922503725782414, | |
| "grad_norm": 1.8594285249710083, | |
| "learning_rate": 8e-05, | |
| "loss": 3.3683, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.013412816691505217, | |
| "grad_norm": 2.0457093715667725, | |
| "learning_rate": 9e-05, | |
| "loss": 3.4379, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.013412816691505217, | |
| "eval_loss": 3.1294145584106445, | |
| "eval_runtime": 2.6674, | |
| "eval_samples_per_second": 211.814, | |
| "eval_steps_per_second": 26.617, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.014903129657228018, | |
| "grad_norm": 1.7745529413223267, | |
| "learning_rate": 0.0001, | |
| "loss": 3.1102, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.01639344262295082, | |
| "grad_norm": 1.6581326723098755, | |
| "learning_rate": 9.99695413509548e-05, | |
| "loss": 2.9326, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.01788375558867362, | |
| "grad_norm": 1.645290732383728, | |
| "learning_rate": 9.987820251299122e-05, | |
| "loss": 2.813, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.019374068554396422, | |
| "grad_norm": 1.6816961765289307, | |
| "learning_rate": 9.972609476841367e-05, | |
| "loss": 2.6876, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.020864381520119227, | |
| "grad_norm": 1.6662911176681519, | |
| "learning_rate": 9.951340343707852e-05, | |
| "loss": 2.6106, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.022354694485842028, | |
| "grad_norm": 1.542525053024292, | |
| "learning_rate": 9.924038765061042e-05, | |
| "loss": 2.5321, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.02384500745156483, | |
| "grad_norm": 1.4631415605545044, | |
| "learning_rate": 9.890738003669029e-05, | |
| "loss": 2.3101, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.02533532041728763, | |
| "grad_norm": 1.5643318891525269, | |
| "learning_rate": 9.851478631379982e-05, | |
| "loss": 2.2768, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.026825633383010434, | |
| "grad_norm": 1.6115552186965942, | |
| "learning_rate": 9.806308479691595e-05, | |
| "loss": 2.1149, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.026825633383010434, | |
| "eval_loss": 2.07175612449646, | |
| "eval_runtime": 2.6646, | |
| "eval_samples_per_second": 212.036, | |
| "eval_steps_per_second": 26.645, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.028315946348733235, | |
| "grad_norm": 1.5824073553085327, | |
| "learning_rate": 9.755282581475769e-05, | |
| "loss": 2.0145, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.029806259314456036, | |
| "grad_norm": 1.674318790435791, | |
| "learning_rate": 9.698463103929542e-05, | |
| "loss": 2.047, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.03129657228017884, | |
| "grad_norm": 1.6824314594268799, | |
| "learning_rate": 9.635919272833938e-05, | |
| "loss": 1.8464, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.03278688524590164, | |
| "grad_norm": 1.9013198614120483, | |
| "learning_rate": 9.567727288213005e-05, | |
| "loss": 1.7421, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.03427719821162444, | |
| "grad_norm": 1.8643028736114502, | |
| "learning_rate": 9.493970231495835e-05, | |
| "loss": 1.7526, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.03576751117734724, | |
| "grad_norm": 1.9997265338897705, | |
| "learning_rate": 9.414737964294636e-05, | |
| "loss": 1.6996, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.037257824143070044, | |
| "grad_norm": 2.215336322784424, | |
| "learning_rate": 9.330127018922194e-05, | |
| "loss": 1.6416, | |
| "step": 25 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 347093965209600.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |