| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 500, | |
| "global_step": 8592, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.00011638733705772812, | |
| "grad_norm": 8.116299629211426, | |
| "learning_rate": 0.0, | |
| "loss": 2.7266, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.05819366852886406, | |
| "grad_norm": 57.76313781738281, | |
| "learning_rate": 1.732045163543243e-06, | |
| "loss": 3.7373, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.05819366852886406, | |
| "eval_cosine_accuracy": 0.9404736757278442, | |
| "eval_loss": 2.536726713180542, | |
| "eval_runtime": 26.2292, | |
| "eval_samples_per_second": 360.59, | |
| "eval_steps_per_second": 1.411, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.11638733705772812, | |
| "grad_norm": 5.569820880889893, | |
| "learning_rate": 3.4780584332440925e-06, | |
| "loss": 2.8655, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.11638733705772812, | |
| "eval_cosine_accuracy": 0.9364559054374695, | |
| "eval_loss": 2.6046745777130127, | |
| "eval_runtime": 26.7465, | |
| "eval_samples_per_second": 353.617, | |
| "eval_steps_per_second": 1.383, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.17458100558659218, | |
| "grad_norm": 5.892590045928955, | |
| "learning_rate": 5.224071702944943e-06, | |
| "loss": 2.3859, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.17458100558659218, | |
| "eval_cosine_accuracy": 0.9412137866020203, | |
| "eval_loss": 2.540637969970703, | |
| "eval_runtime": 26.8122, | |
| "eval_samples_per_second": 352.75, | |
| "eval_steps_per_second": 1.38, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.23277467411545624, | |
| "grad_norm": 41.33493423461914, | |
| "learning_rate": 6.970084972645793e-06, | |
| "loss": 2.1884, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.23277467411545624, | |
| "eval_cosine_accuracy": 0.9451258182525635, | |
| "eval_loss": 2.5318424701690674, | |
| "eval_runtime": 26.0188, | |
| "eval_samples_per_second": 363.506, | |
| "eval_steps_per_second": 1.422, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.2909683426443203, | |
| "grad_norm": 15.76939582824707, | |
| "learning_rate": 8.71260621580724e-06, | |
| "loss": 1.9576, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.2909683426443203, | |
| "eval_cosine_accuracy": 0.9467117786407471, | |
| "eval_loss": 2.474266767501831, | |
| "eval_runtime": 26.2939, | |
| "eval_samples_per_second": 359.703, | |
| "eval_steps_per_second": 1.407, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.34916201117318435, | |
| "grad_norm": 7.4116950035095215, | |
| "learning_rate": 1.045861948550809e-05, | |
| "loss": 1.8211, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.34916201117318435, | |
| "eval_cosine_accuracy": 0.9435398578643799, | |
| "eval_loss": 2.547072649002075, | |
| "eval_runtime": 26.1008, | |
| "eval_samples_per_second": 362.365, | |
| "eval_steps_per_second": 1.418, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.4073556797020484, | |
| "grad_norm": 25.99747657775879, | |
| "learning_rate": 1.2204632755208939e-05, | |
| "loss": 1.6603, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.4073556797020484, | |
| "eval_cosine_accuracy": 0.9489321112632751, | |
| "eval_loss": 2.472174644470215, | |
| "eval_runtime": 27.1444, | |
| "eval_samples_per_second": 348.433, | |
| "eval_steps_per_second": 1.363, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.4655493482309125, | |
| "grad_norm": 5.763104438781738, | |
| "learning_rate": 1.395064602490979e-05, | |
| "loss": 1.596, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.4655493482309125, | |
| "eval_cosine_accuracy": 0.9438570737838745, | |
| "eval_loss": 2.5426251888275146, | |
| "eval_runtime": 28.2718, | |
| "eval_samples_per_second": 334.538, | |
| "eval_steps_per_second": 1.309, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.5237430167597765, | |
| "grad_norm": 4.893315315246582, | |
| "learning_rate": 1.5693167268071237e-05, | |
| "loss": 1.5379, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.5237430167597765, | |
| "eval_cosine_accuracy": 0.9473461508750916, | |
| "eval_loss": 2.4768149852752686, | |
| "eval_runtime": 28.2378, | |
| "eval_samples_per_second": 334.941, | |
| "eval_steps_per_second": 1.31, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.5819366852886406, | |
| "grad_norm": 43.368614196777344, | |
| "learning_rate": 1.7439180537772086e-05, | |
| "loss": 1.5397, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.5819366852886406, | |
| "eval_cosine_accuracy": 0.9487206339836121, | |
| "eval_loss": 2.4771170616149902, | |
| "eval_runtime": 28.4116, | |
| "eval_samples_per_second": 332.892, | |
| "eval_steps_per_second": 1.302, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.6401303538175046, | |
| "grad_norm": 0.21546457707881927, | |
| "learning_rate": 1.9185193807472936e-05, | |
| "loss": 1.381, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.6401303538175046, | |
| "eval_cosine_accuracy": 0.9412137866020203, | |
| "eval_loss": 2.6126925945281982, | |
| "eval_runtime": 28.5708, | |
| "eval_samples_per_second": 331.037, | |
| "eval_steps_per_second": 1.295, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.6983240223463687, | |
| "grad_norm": 27.70214080810547, | |
| "learning_rate": 2.0931207077173788e-05, | |
| "loss": 1.4407, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.6983240223463687, | |
| "eval_cosine_accuracy": 0.9492493271827698, | |
| "eval_loss": 2.457711935043335, | |
| "eval_runtime": 28.3495, | |
| "eval_samples_per_second": 333.621, | |
| "eval_steps_per_second": 1.305, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.7565176908752328, | |
| "grad_norm": 0.6600456237792969, | |
| "learning_rate": 2.2677220346874637e-05, | |
| "loss": 1.3692, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.7565176908752328, | |
| "eval_cosine_accuracy": 0.9438570737838745, | |
| "eval_loss": 2.48168683052063, | |
| "eval_runtime": 28.3758, | |
| "eval_samples_per_second": 333.313, | |
| "eval_steps_per_second": 1.304, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.8147113594040968, | |
| "grad_norm": 15.486236572265625, | |
| "learning_rate": 2.4419741590036085e-05, | |
| "loss": 1.2731, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.8147113594040968, | |
| "eval_cosine_accuracy": 0.943751335144043, | |
| "eval_loss": 2.5139832496643066, | |
| "eval_runtime": 28.0964, | |
| "eval_samples_per_second": 336.627, | |
| "eval_steps_per_second": 1.317, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.8729050279329609, | |
| "grad_norm": 13.570350646972656, | |
| "learning_rate": 2.6165754859736934e-05, | |
| "loss": 1.223, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.8729050279329609, | |
| "eval_cosine_accuracy": 0.9494607448577881, | |
| "eval_loss": 2.4431588649749756, | |
| "eval_runtime": 28.2933, | |
| "eval_samples_per_second": 334.285, | |
| "eval_steps_per_second": 1.308, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.931098696461825, | |
| "grad_norm": 4.8542633056640625, | |
| "learning_rate": 2.7911768129437783e-05, | |
| "loss": 1.1982, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.931098696461825, | |
| "eval_cosine_accuracy": 0.9420596361160278, | |
| "eval_loss": 2.5187907218933105, | |
| "eval_runtime": 28.0669, | |
| "eval_samples_per_second": 336.98, | |
| "eval_steps_per_second": 1.318, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.9892923649906891, | |
| "grad_norm": 36.649906158447266, | |
| "learning_rate": 2.9657781399138632e-05, | |
| "loss": 1.1693, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.9892923649906891, | |
| "eval_cosine_accuracy": 0.9469232559204102, | |
| "eval_loss": 2.4668424129486084, | |
| "eval_runtime": 28.3845, | |
| "eval_samples_per_second": 333.21, | |
| "eval_steps_per_second": 1.304, | |
| "step": 8500 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 34368, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "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 | |
| } | |