|
{ |
|
"best_metric": 0.9199500679969788, |
|
"best_model_checkpoint": "data/Llama-31-8B_task-1_60-samples_config-2_auto/checkpoint-23", |
|
"epoch": 14.956521739130435, |
|
"eval_steps": 500, |
|
"global_step": 43, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.34782608695652173, |
|
"grad_norm": 0.8502998352050781, |
|
"learning_rate": 1e-05, |
|
"loss": 1.1831, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.6956521739130435, |
|
"grad_norm": 0.7293677926063538, |
|
"learning_rate": 2e-05, |
|
"loss": 1.1077, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.6956521739130435, |
|
"eval_loss": 1.222472071647644, |
|
"eval_runtime": 5.0432, |
|
"eval_samples_per_second": 2.379, |
|
"eval_steps_per_second": 2.379, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.391304347826087, |
|
"grad_norm": 0.8206527829170227, |
|
"learning_rate": 4e-05, |
|
"loss": 1.1089, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 1.7391304347826086, |
|
"eval_loss": 1.133432149887085, |
|
"eval_runtime": 5.0503, |
|
"eval_samples_per_second": 2.376, |
|
"eval_steps_per_second": 2.376, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 2.0869565217391304, |
|
"grad_norm": 0.6687086820602417, |
|
"learning_rate": 6e-05, |
|
"loss": 1.1241, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.782608695652174, |
|
"grad_norm": 0.3683761656284332, |
|
"learning_rate": 8e-05, |
|
"loss": 0.954, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 2.782608695652174, |
|
"eval_loss": 1.0065932273864746, |
|
"eval_runtime": 5.0556, |
|
"eval_samples_per_second": 2.374, |
|
"eval_steps_per_second": 2.374, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 3.4782608695652173, |
|
"grad_norm": 0.6216813921928406, |
|
"learning_rate": 0.0001, |
|
"loss": 0.9473, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 3.8260869565217392, |
|
"eval_loss": 0.9689114689826965, |
|
"eval_runtime": 5.0503, |
|
"eval_samples_per_second": 2.376, |
|
"eval_steps_per_second": 2.376, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 4.173913043478261, |
|
"grad_norm": 0.6966493725776672, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.9514, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"grad_norm": 0.46004796028137207, |
|
"learning_rate": 9.951340343707852e-05, |
|
"loss": 0.7929, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"eval_loss": 0.9280648231506348, |
|
"eval_runtime": 5.0284, |
|
"eval_samples_per_second": 2.386, |
|
"eval_steps_per_second": 2.386, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 5.565217391304348, |
|
"grad_norm": 0.3988930583000183, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.7943, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 5.913043478260869, |
|
"eval_loss": 0.9351689219474792, |
|
"eval_runtime": 5.0318, |
|
"eval_samples_per_second": 2.385, |
|
"eval_steps_per_second": 2.385, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 6.260869565217392, |
|
"grad_norm": 0.45152226090431213, |
|
"learning_rate": 9.806308479691595e-05, |
|
"loss": 0.7135, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"grad_norm": 0.4465623199939728, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.6696, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"eval_loss": 0.9295620322227478, |
|
"eval_runtime": 5.0285, |
|
"eval_samples_per_second": 2.386, |
|
"eval_steps_per_second": 2.386, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 7.6521739130434785, |
|
"grad_norm": 0.41258516907691956, |
|
"learning_rate": 9.567727288213005e-05, |
|
"loss": 0.5976, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.9199500679969788, |
|
"eval_runtime": 5.0244, |
|
"eval_samples_per_second": 2.388, |
|
"eval_steps_per_second": 2.388, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 8.347826086956522, |
|
"grad_norm": 0.4886399507522583, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.5767, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 8.695652173913043, |
|
"eval_loss": 0.9290821552276611, |
|
"eval_runtime": 5.0292, |
|
"eval_samples_per_second": 2.386, |
|
"eval_steps_per_second": 2.386, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 9.043478260869565, |
|
"grad_norm": 0.5453073978424072, |
|
"learning_rate": 9.24024048078213e-05, |
|
"loss": 0.5473, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 9.73913043478261, |
|
"grad_norm": 0.5217234492301941, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.4423, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 9.73913043478261, |
|
"eval_loss": 0.9619866013526917, |
|
"eval_runtime": 5.0273, |
|
"eval_samples_per_second": 2.387, |
|
"eval_steps_per_second": 2.387, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 10.434782608695652, |
|
"grad_norm": 0.49829018115997314, |
|
"learning_rate": 8.83022221559489e-05, |
|
"loss": 0.4059, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 10.782608695652174, |
|
"eval_loss": 1.0431071519851685, |
|
"eval_runtime": 5.0284, |
|
"eval_samples_per_second": 2.386, |
|
"eval_steps_per_second": 2.386, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 11.130434782608695, |
|
"grad_norm": 0.641713559627533, |
|
"learning_rate": 8.596699001693255e-05, |
|
"loss": 0.3642, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 11.826086956521738, |
|
"grad_norm": 0.609914243221283, |
|
"learning_rate": 8.345653031794292e-05, |
|
"loss": 0.2734, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 11.826086956521738, |
|
"eval_loss": 1.1927047967910767, |
|
"eval_runtime": 5.0322, |
|
"eval_samples_per_second": 2.385, |
|
"eval_steps_per_second": 2.385, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 12.521739130434783, |
|
"grad_norm": 0.5773984789848328, |
|
"learning_rate": 8.07830737662829e-05, |
|
"loss": 0.2387, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 12.869565217391305, |
|
"eval_loss": 1.3013005256652832, |
|
"eval_runtime": 5.0321, |
|
"eval_samples_per_second": 2.385, |
|
"eval_steps_per_second": 2.385, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 13.217391304347826, |
|
"grad_norm": 0.75190269947052, |
|
"learning_rate": 7.795964517353735e-05, |
|
"loss": 0.1781, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 13.91304347826087, |
|
"grad_norm": 0.7618876099586487, |
|
"learning_rate": 7.500000000000001e-05, |
|
"loss": 0.1347, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 13.91304347826087, |
|
"eval_loss": 1.4095535278320312, |
|
"eval_runtime": 5.0317, |
|
"eval_samples_per_second": 2.385, |
|
"eval_steps_per_second": 2.385, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 14.608695652173914, |
|
"grad_norm": 0.5433855652809143, |
|
"learning_rate": 7.191855733945387e-05, |
|
"loss": 0.0897, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 14.956521739130435, |
|
"eval_loss": 1.5471285581588745, |
|
"eval_runtime": 5.0278, |
|
"eval_samples_per_second": 2.387, |
|
"eval_steps_per_second": 2.387, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 14.956521739130435, |
|
"step": 43, |
|
"total_flos": 1.1330036980252672e+16, |
|
"train_loss": 0.6092795010569484, |
|
"train_runtime": 834.6765, |
|
"train_samples_per_second": 2.756, |
|
"train_steps_per_second": 0.12 |
|
} |
|
], |
|
"logging_steps": 2, |
|
"max_steps": 100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 7, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 0 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.1330036980252672e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|