|
{ |
|
"best_metric": 0.48605167865753174, |
|
"best_model_checkpoint": "data/Mistral-7B_task-2_60-samples_config-1_auto/checkpoint-28", |
|
"epoch": 12.0, |
|
"eval_steps": 500, |
|
"global_step": 69, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.17391304347826086, |
|
"grad_norm": 1.5140224695205688, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 0.7126, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.34782608695652173, |
|
"grad_norm": 1.6478224992752075, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 0.8549, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.6956521739130435, |
|
"grad_norm": 1.4883278608322144, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 0.7334, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.8695652173913043, |
|
"eval_loss": 0.7062659859657288, |
|
"eval_runtime": 16.5385, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 1.0434782608695652, |
|
"grad_norm": 1.2950339317321777, |
|
"learning_rate": 2.4e-05, |
|
"loss": 0.7356, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 1.391304347826087, |
|
"grad_norm": 1.0016504526138306, |
|
"learning_rate": 3.2000000000000005e-05, |
|
"loss": 0.655, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 1.7391304347826086, |
|
"grad_norm": 0.7504082322120667, |
|
"learning_rate": 4e-05, |
|
"loss": 0.6319, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.9130434782608696, |
|
"eval_loss": 0.5730427503585815, |
|
"eval_runtime": 16.5383, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 2.0869565217391304, |
|
"grad_norm": 0.7791630029678345, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.5786, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 2.4347826086956523, |
|
"grad_norm": 0.6501785516738892, |
|
"learning_rate": 5.6000000000000006e-05, |
|
"loss": 0.5012, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 2.782608695652174, |
|
"grad_norm": 0.7398867011070251, |
|
"learning_rate": 6.400000000000001e-05, |
|
"loss": 0.5266, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 2.9565217391304346, |
|
"eval_loss": 0.5148289799690247, |
|
"eval_runtime": 16.5377, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 3.130434782608696, |
|
"grad_norm": 0.6889784336090088, |
|
"learning_rate": 7.2e-05, |
|
"loss": 0.4804, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 3.4782608695652173, |
|
"grad_norm": 0.7188368439674377, |
|
"learning_rate": 8e-05, |
|
"loss": 0.4278, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 3.8260869565217392, |
|
"grad_norm": 0.6705220341682434, |
|
"learning_rate": 8.800000000000001e-05, |
|
"loss": 0.4086, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.48897695541381836, |
|
"eval_runtime": 16.5378, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 4.173913043478261, |
|
"grad_norm": 0.7117646336555481, |
|
"learning_rate": 9.6e-05, |
|
"loss": 0.3999, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 4.521739130434782, |
|
"grad_norm": 0.6636248826980591, |
|
"learning_rate": 9.999512620046522e-05, |
|
"loss": 0.3644, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"grad_norm": 0.7620681524276733, |
|
"learning_rate": 9.995614150494293e-05, |
|
"loss": 0.307, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"eval_loss": 0.48605167865753174, |
|
"eval_runtime": 16.5364, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 5.217391304347826, |
|
"grad_norm": 0.6405394673347473, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.2639, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 5.565217391304348, |
|
"grad_norm": 0.7212449312210083, |
|
"learning_rate": 9.976136999909156e-05, |
|
"loss": 0.2559, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 5.913043478260869, |
|
"grad_norm": 0.7872556447982788, |
|
"learning_rate": 9.96057350657239e-05, |
|
"loss": 0.2061, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 5.913043478260869, |
|
"eval_loss": 0.5479660034179688, |
|
"eval_runtime": 16.5381, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 6.260869565217392, |
|
"grad_norm": 0.7487961053848267, |
|
"learning_rate": 9.941141907232765e-05, |
|
"loss": 0.1666, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 6.608695652173913, |
|
"grad_norm": 0.7282887697219849, |
|
"learning_rate": 9.917857354066931e-05, |
|
"loss": 0.1278, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"grad_norm": 0.8547887802124023, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.1025, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"eval_loss": 0.6543639898300171, |
|
"eval_runtime": 16.5393, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 7.304347826086957, |
|
"grad_norm": 1.0089316368103027, |
|
"learning_rate": 9.859805002892732e-05, |
|
"loss": 0.0678, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 7.6521739130434785, |
|
"grad_norm": 0.7182652950286865, |
|
"learning_rate": 9.825082472361557e-05, |
|
"loss": 0.0501, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 0.8632131218910217, |
|
"learning_rate": 9.786597487660337e-05, |
|
"loss": 0.0474, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.7596723437309265, |
|
"eval_runtime": 16.5398, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 8.347826086956522, |
|
"grad_norm": 0.6312950253486633, |
|
"learning_rate": 9.744380058222483e-05, |
|
"loss": 0.0269, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 8.695652173913043, |
|
"grad_norm": 0.7501206994056702, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.0255, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 8.869565217391305, |
|
"eval_loss": 0.7984176278114319, |
|
"eval_runtime": 16.5415, |
|
"eval_samples_per_second": 0.725, |
|
"eval_steps_per_second": 0.725, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 9.043478260869565, |
|
"grad_norm": 0.8554216623306274, |
|
"learning_rate": 9.648882429441257e-05, |
|
"loss": 0.0291, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 9.391304347826088, |
|
"grad_norm": 0.8836772441864014, |
|
"learning_rate": 9.595676696276172e-05, |
|
"loss": 0.0191, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 9.73913043478261, |
|
"grad_norm": 0.7133678197860718, |
|
"learning_rate": 9.538887392664544e-05, |
|
"loss": 0.0223, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 9.91304347826087, |
|
"eval_loss": 0.7588582634925842, |
|
"eval_runtime": 16.5401, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 10.08695652173913, |
|
"grad_norm": 0.5711161494255066, |
|
"learning_rate": 9.478558801197065e-05, |
|
"loss": 0.0205, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 10.434782608695652, |
|
"grad_norm": 0.44387462735176086, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.0113, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 10.782608695652174, |
|
"grad_norm": 0.6449446678161621, |
|
"learning_rate": 9.347474647526095e-05, |
|
"loss": 0.0134, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 10.956521739130435, |
|
"eval_loss": 0.8148854374885559, |
|
"eval_runtime": 16.5379, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 11.130434782608695, |
|
"grad_norm": 0.5001112818717957, |
|
"learning_rate": 9.276821300802534e-05, |
|
"loss": 0.0129, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 11.478260869565217, |
|
"grad_norm": 0.38408565521240234, |
|
"learning_rate": 9.202833017478422e-05, |
|
"loss": 0.0085, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 11.826086956521738, |
|
"grad_norm": 0.4452236592769623, |
|
"learning_rate": 9.125567491391476e-05, |
|
"loss": 0.0068, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_loss": 0.8506963849067688, |
|
"eval_runtime": 16.5373, |
|
"eval_samples_per_second": 0.726, |
|
"eval_steps_per_second": 0.726, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"step": 69, |
|
"total_flos": 6.846832342309274e+16, |
|
"train_loss": 0.26155890712001617, |
|
"train_runtime": 2487.0101, |
|
"train_samples_per_second": 0.925, |
|
"train_steps_per_second": 0.101 |
|
} |
|
], |
|
"logging_steps": 2, |
|
"max_steps": 250, |
|
"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": 6.846832342309274e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|