|
{ |
|
"best_metric": 0.5998861789703369, |
|
"best_model_checkpoint": "data/Llama-31-8B_task-2_60-samples_config-1_auto/checkpoint-34", |
|
"epoch": 12.869565217391305, |
|
"eval_steps": 500, |
|
"global_step": 74, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.17391304347826086, |
|
"grad_norm": 0.42300620675086975, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 0.824, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.34782608695652173, |
|
"grad_norm": 0.4288937449455261, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 0.9683, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.6956521739130435, |
|
"grad_norm": 0.3874884247779846, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 0.8547, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.8695652173913043, |
|
"eval_loss": 0.8787198066711426, |
|
"eval_runtime": 13.3407, |
|
"eval_samples_per_second": 0.9, |
|
"eval_steps_per_second": 0.9, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 1.0434782608695652, |
|
"grad_norm": 0.4130929708480835, |
|
"learning_rate": 2.4e-05, |
|
"loss": 0.873, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 1.391304347826087, |
|
"grad_norm": 0.416022926568985, |
|
"learning_rate": 3.2000000000000005e-05, |
|
"loss": 0.8494, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 1.7391304347826086, |
|
"grad_norm": 0.36378711462020874, |
|
"learning_rate": 4e-05, |
|
"loss": 0.8316, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.9130434782608696, |
|
"eval_loss": 0.7977904677391052, |
|
"eval_runtime": 13.3416, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 2.0869565217391304, |
|
"grad_norm": 0.3718477785587311, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.8102, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 2.4347826086956523, |
|
"grad_norm": 0.3050856292247772, |
|
"learning_rate": 5.6000000000000006e-05, |
|
"loss": 0.7164, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 2.782608695652174, |
|
"grad_norm": 0.3262587785720825, |
|
"learning_rate": 6.400000000000001e-05, |
|
"loss": 0.7352, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 2.9565217391304346, |
|
"eval_loss": 0.7124518752098083, |
|
"eval_runtime": 13.3427, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 3.130434782608696, |
|
"grad_norm": 0.3741619288921356, |
|
"learning_rate": 7.2e-05, |
|
"loss": 0.6842, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 3.4782608695652173, |
|
"grad_norm": 0.3369562029838562, |
|
"learning_rate": 8e-05, |
|
"loss": 0.6401, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 3.8260869565217392, |
|
"grad_norm": 0.30441024899482727, |
|
"learning_rate": 8.800000000000001e-05, |
|
"loss": 0.6096, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.6426070332527161, |
|
"eval_runtime": 13.3438, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 4.173913043478261, |
|
"grad_norm": 0.33171817660331726, |
|
"learning_rate": 9.6e-05, |
|
"loss": 0.6115, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 4.521739130434782, |
|
"grad_norm": 0.39163708686828613, |
|
"learning_rate": 9.999512620046522e-05, |
|
"loss": 0.5717, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"grad_norm": 0.38159558176994324, |
|
"learning_rate": 9.995614150494293e-05, |
|
"loss": 0.5369, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 4.869565217391305, |
|
"eval_loss": 0.6109557747840881, |
|
"eval_runtime": 13.3464, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 5.217391304347826, |
|
"grad_norm": 0.37450674176216125, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.4848, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 5.565217391304348, |
|
"grad_norm": 0.3854338824748993, |
|
"learning_rate": 9.976136999909156e-05, |
|
"loss": 0.5116, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 5.913043478260869, |
|
"grad_norm": 0.3476805090904236, |
|
"learning_rate": 9.96057350657239e-05, |
|
"loss": 0.4624, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 5.913043478260869, |
|
"eval_loss": 0.5998861789703369, |
|
"eval_runtime": 13.3403, |
|
"eval_samples_per_second": 0.9, |
|
"eval_steps_per_second": 0.9, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 6.260869565217392, |
|
"grad_norm": 0.3531424403190613, |
|
"learning_rate": 9.941141907232765e-05, |
|
"loss": 0.4299, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 6.608695652173913, |
|
"grad_norm": 0.4284851551055908, |
|
"learning_rate": 9.917857354066931e-05, |
|
"loss": 0.4254, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"grad_norm": 0.43844202160835266, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.3577, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 6.956521739130435, |
|
"eval_loss": 0.631374180316925, |
|
"eval_runtime": 13.3436, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 7.304347826086957, |
|
"grad_norm": 0.4331451654434204, |
|
"learning_rate": 9.859805002892732e-05, |
|
"loss": 0.3568, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 7.6521739130434785, |
|
"grad_norm": 0.5172120332717896, |
|
"learning_rate": 9.825082472361557e-05, |
|
"loss": 0.2935, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 0.5505191087722778, |
|
"learning_rate": 9.786597487660337e-05, |
|
"loss": 0.3027, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.6915586590766907, |
|
"eval_runtime": 13.3429, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 8.347826086956522, |
|
"grad_norm": 0.5537309050559998, |
|
"learning_rate": 9.744380058222483e-05, |
|
"loss": 0.2301, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 8.695652173913043, |
|
"grad_norm": 0.6507230401039124, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.2146, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 8.869565217391305, |
|
"eval_loss": 0.7508694529533386, |
|
"eval_runtime": 13.3407, |
|
"eval_samples_per_second": 0.9, |
|
"eval_steps_per_second": 0.9, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 9.043478260869565, |
|
"grad_norm": 0.6203398108482361, |
|
"learning_rate": 9.648882429441257e-05, |
|
"loss": 0.1959, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 9.391304347826088, |
|
"grad_norm": 0.562064528465271, |
|
"learning_rate": 9.595676696276172e-05, |
|
"loss": 0.1165, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 9.73913043478261, |
|
"grad_norm": 0.6549424529075623, |
|
"learning_rate": 9.538887392664544e-05, |
|
"loss": 0.1132, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 9.91304347826087, |
|
"eval_loss": 0.9555017948150635, |
|
"eval_runtime": 13.3405, |
|
"eval_samples_per_second": 0.9, |
|
"eval_steps_per_second": 0.9, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 10.08695652173913, |
|
"grad_norm": 0.798380970954895, |
|
"learning_rate": 9.478558801197065e-05, |
|
"loss": 0.1154, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 10.434782608695652, |
|
"grad_norm": 0.5680138468742371, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.0512, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 10.782608695652174, |
|
"grad_norm": 0.665852963924408, |
|
"learning_rate": 9.347474647526095e-05, |
|
"loss": 0.0626, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 10.956521739130435, |
|
"eval_loss": 1.0439895391464233, |
|
"eval_runtime": 13.3424, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 11.130434782608695, |
|
"grad_norm": 0.5211048126220703, |
|
"learning_rate": 9.276821300802534e-05, |
|
"loss": 0.0456, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 11.478260869565217, |
|
"grad_norm": 0.5096816420555115, |
|
"learning_rate": 9.202833017478422e-05, |
|
"loss": 0.0349, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 11.826086956521738, |
|
"grad_norm": 0.9088841080665588, |
|
"learning_rate": 9.125567491391476e-05, |
|
"loss": 0.0376, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_loss": 1.1408032178878784, |
|
"eval_runtime": 13.3441, |
|
"eval_samples_per_second": 0.899, |
|
"eval_steps_per_second": 0.899, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 12.173913043478262, |
|
"grad_norm": 0.2537411153316498, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.0219, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 12.521739130434783, |
|
"grad_norm": 0.5168859362602234, |
|
"learning_rate": 8.961448216775954e-05, |
|
"loss": 0.0166, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 12.869565217391305, |
|
"grad_norm": 0.6679970026016235, |
|
"learning_rate": 8.874722443520899e-05, |
|
"loss": 0.0262, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 12.869565217391305, |
|
"eval_loss": 1.1577156782150269, |
|
"eval_runtime": 13.3402, |
|
"eval_samples_per_second": 0.9, |
|
"eval_steps_per_second": 0.9, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 12.869565217391305, |
|
"step": 74, |
|
"total_flos": 6.016355399001702e+16, |
|
"train_loss": 0.40909132293450673, |
|
"train_runtime": 2152.0328, |
|
"train_samples_per_second": 1.069, |
|
"train_steps_per_second": 0.116 |
|
} |
|
], |
|
"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": 6.016355399001702e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|