|
{ |
|
"best_metric": 0.9315621256828308, |
|
"best_model_checkpoint": "data/Mistral-7B_task-1_60-samples_config-2_full/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": 2.7660365104675293, |
|
"learning_rate": 1e-05, |
|
"loss": 2.1412, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.6956521739130435, |
|
"grad_norm": 2.761305332183838, |
|
"learning_rate": 2e-05, |
|
"loss": 2.1677, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.6956521739130435, |
|
"eval_loss": 1.9772213697433472, |
|
"eval_runtime": 4.8565, |
|
"eval_samples_per_second": 2.471, |
|
"eval_steps_per_second": 2.471, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.391304347826087, |
|
"grad_norm": 2.450890064239502, |
|
"learning_rate": 4e-05, |
|
"loss": 2.0588, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 1.7391304347826086, |
|
"eval_loss": 1.7097864151000977, |
|
"eval_runtime": 4.8552, |
|
"eval_samples_per_second": 2.472, |
|
"eval_steps_per_second": 2.472, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 2.0869565217391304, |
|
"grad_norm": 1.6053310632705688, |
|
"learning_rate": 6e-05, |
|
"loss": 1.862, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.782608695652174, |
|
"grad_norm": 1.1415278911590576, |
|
"learning_rate": 8e-05, |
|
"loss": 1.6144, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 2.782608695652174, |
|
"eval_loss": 1.4225901365280151, |
|
"eval_runtime": 4.8447, |
|
"eval_samples_per_second": 2.477, |
|
"eval_steps_per_second": 2.477, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 3.4782608695652173, |
|
"grad_norm": 1.6181377172470093, |
|
"learning_rate": 0.0001, |
|
"loss": 1.3861, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 3.8260869565217392, |
|
"eval_loss": 1.1334022283554077, |
|
"eval_runtime": 4.8621, |
|
"eval_samples_per_second": 2.468, |
|
"eval_steps_per_second": 2.468, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 4.173913043478261, |
|
"grad_norm": 1.2450289726257324, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 1.1643, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"grad_norm": 0.8130146265029907, |
|
"learning_rate": 9.951340343707852e-05, |
|
"loss": 1.0181, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"eval_loss": 0.9961085915565491, |
|
"eval_runtime": 4.854, |
|
"eval_samples_per_second": 2.472, |
|
"eval_steps_per_second": 2.472, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 5.565217391304348, |
|
"grad_norm": 0.6594259738922119, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.9301, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 5.913043478260869, |
|
"eval_loss": 0.9633287787437439, |
|
"eval_runtime": 4.8357, |
|
"eval_samples_per_second": 2.482, |
|
"eval_steps_per_second": 2.482, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 6.260869565217392, |
|
"grad_norm": 0.6981428861618042, |
|
"learning_rate": 9.806308479691595e-05, |
|
"loss": 0.8321, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"grad_norm": 0.6706119179725647, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.8066, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"eval_loss": 0.9347649216651917, |
|
"eval_runtime": 4.8358, |
|
"eval_samples_per_second": 2.482, |
|
"eval_steps_per_second": 2.482, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 7.6521739130434785, |
|
"grad_norm": 0.5864876508712769, |
|
"learning_rate": 9.567727288213005e-05, |
|
"loss": 0.7473, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.9315621256828308, |
|
"eval_runtime": 4.8328, |
|
"eval_samples_per_second": 2.483, |
|
"eval_steps_per_second": 2.483, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 8.347826086956522, |
|
"grad_norm": 0.634713888168335, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.6909, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 8.695652173913043, |
|
"eval_loss": 0.9585385322570801, |
|
"eval_runtime": 4.8356, |
|
"eval_samples_per_second": 2.482, |
|
"eval_steps_per_second": 2.482, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 9.043478260869565, |
|
"grad_norm": 0.8111370801925659, |
|
"learning_rate": 9.24024048078213e-05, |
|
"loss": 0.6233, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 9.73913043478261, |
|
"grad_norm": 0.8550280332565308, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.5525, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 9.73913043478261, |
|
"eval_loss": 0.9742663502693176, |
|
"eval_runtime": 4.8332, |
|
"eval_samples_per_second": 2.483, |
|
"eval_steps_per_second": 2.483, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 10.434782608695652, |
|
"grad_norm": 0.790436863899231, |
|
"learning_rate": 8.83022221559489e-05, |
|
"loss": 0.49, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 10.782608695652174, |
|
"eval_loss": 1.0670939683914185, |
|
"eval_runtime": 4.834, |
|
"eval_samples_per_second": 2.482, |
|
"eval_steps_per_second": 2.482, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 11.130434782608695, |
|
"grad_norm": 1.2715283632278442, |
|
"learning_rate": 8.596699001693255e-05, |
|
"loss": 0.4556, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 11.826086956521738, |
|
"grad_norm": 0.8485116362571716, |
|
"learning_rate": 8.345653031794292e-05, |
|
"loss": 0.3604, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 11.826086956521738, |
|
"eval_loss": 1.0999555587768555, |
|
"eval_runtime": 4.8347, |
|
"eval_samples_per_second": 2.482, |
|
"eval_steps_per_second": 2.482, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 12.521739130434783, |
|
"grad_norm": 0.8741176724433899, |
|
"learning_rate": 8.07830737662829e-05, |
|
"loss": 0.3096, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 12.869565217391305, |
|
"eval_loss": 1.275596022605896, |
|
"eval_runtime": 4.8346, |
|
"eval_samples_per_second": 2.482, |
|
"eval_steps_per_second": 2.482, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 13.217391304347826, |
|
"grad_norm": 1.3192121982574463, |
|
"learning_rate": 7.795964517353735e-05, |
|
"loss": 0.2648, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 13.91304347826087, |
|
"grad_norm": 1.0160993337631226, |
|
"learning_rate": 7.500000000000001e-05, |
|
"loss": 0.2231, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 13.91304347826087, |
|
"eval_loss": 1.302903175354004, |
|
"eval_runtime": 4.8323, |
|
"eval_samples_per_second": 2.483, |
|
"eval_steps_per_second": 2.483, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 14.608695652173914, |
|
"grad_norm": 0.6346321105957031, |
|
"learning_rate": 7.191855733945387e-05, |
|
"loss": 0.1846, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 14.956521739130435, |
|
"eval_loss": 1.4380816221237183, |
|
"eval_runtime": 4.8324, |
|
"eval_samples_per_second": 2.483, |
|
"eval_steps_per_second": 2.483, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 14.956521739130435, |
|
"step": 43, |
|
"total_flos": 1.009626071957504e+16, |
|
"train_loss": 0.8760424204343973, |
|
"train_runtime": 806.7681, |
|
"train_samples_per_second": 2.851, |
|
"train_steps_per_second": 0.124 |
|
} |
|
], |
|
"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": 1.009626071957504e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|