GaetanMichelet's picture
Model save
a4a0675 verified
{
"best_metric": 0.42271220684051514,
"best_model_checkpoint": "data/Gemma-2-2B_task-3_60-samples_config-1/checkpoint-40",
"epoch": 13.91304347826087,
"eval_steps": 500,
"global_step": 80,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17391304347826086,
"grad_norm": 10.146446228027344,
"learning_rate": 4.000000000000001e-06,
"loss": 4.3607,
"step": 1
},
{
"epoch": 0.34782608695652173,
"grad_norm": 3.9102349281311035,
"learning_rate": 8.000000000000001e-06,
"loss": 2.5129,
"step": 2
},
{
"epoch": 0.6956521739130435,
"grad_norm": 4.964460849761963,
"learning_rate": 1.6000000000000003e-05,
"loss": 3.2369,
"step": 4
},
{
"epoch": 0.8695652173913043,
"eval_loss": 3.1359078884124756,
"eval_runtime": 4.3268,
"eval_samples_per_second": 2.773,
"eval_steps_per_second": 2.773,
"step": 5
},
{
"epoch": 1.0434782608695652,
"grad_norm": 6.353696823120117,
"learning_rate": 2.4e-05,
"loss": 3.1786,
"step": 6
},
{
"epoch": 1.391304347826087,
"grad_norm": 7.290201663970947,
"learning_rate": 3.2000000000000005e-05,
"loss": 2.9415,
"step": 8
},
{
"epoch": 1.7391304347826086,
"grad_norm": 6.413881778717041,
"learning_rate": 4e-05,
"loss": 2.5226,
"step": 10
},
{
"epoch": 1.9130434782608696,
"eval_loss": 1.7106043100357056,
"eval_runtime": 4.1466,
"eval_samples_per_second": 2.894,
"eval_steps_per_second": 2.894,
"step": 11
},
{
"epoch": 2.0869565217391304,
"grad_norm": 2.802180051803589,
"learning_rate": 4.8e-05,
"loss": 1.8672,
"step": 12
},
{
"epoch": 2.4347826086956523,
"grad_norm": 4.53109073638916,
"learning_rate": 5.6000000000000006e-05,
"loss": 1.4697,
"step": 14
},
{
"epoch": 2.782608695652174,
"grad_norm": 2.7835044860839844,
"learning_rate": 6.400000000000001e-05,
"loss": 1.1016,
"step": 16
},
{
"epoch": 2.9565217391304346,
"eval_loss": 0.7912492156028748,
"eval_runtime": 4.1534,
"eval_samples_per_second": 2.889,
"eval_steps_per_second": 2.889,
"step": 17
},
{
"epoch": 3.130434782608696,
"grad_norm": 1.4576541185379028,
"learning_rate": 7.2e-05,
"loss": 1.0054,
"step": 18
},
{
"epoch": 3.4782608695652173,
"grad_norm": 1.0580472946166992,
"learning_rate": 8e-05,
"loss": 0.7351,
"step": 20
},
{
"epoch": 3.8260869565217392,
"grad_norm": 1.0042097568511963,
"learning_rate": 8.800000000000001e-05,
"loss": 0.45,
"step": 22
},
{
"epoch": 4.0,
"eval_loss": 0.5231990218162537,
"eval_runtime": 4.1455,
"eval_samples_per_second": 2.895,
"eval_steps_per_second": 2.895,
"step": 23
},
{
"epoch": 4.173913043478261,
"grad_norm": 0.7644234299659729,
"learning_rate": 9.6e-05,
"loss": 0.4357,
"step": 24
},
{
"epoch": 4.521739130434782,
"grad_norm": 0.7768363952636719,
"learning_rate": 9.999512620046522e-05,
"loss": 0.5259,
"step": 26
},
{
"epoch": 4.869565217391305,
"grad_norm": 0.6981846690177917,
"learning_rate": 9.995614150494293e-05,
"loss": 0.3492,
"step": 28
},
{
"epoch": 4.869565217391305,
"eval_loss": 0.4661372900009155,
"eval_runtime": 4.1458,
"eval_samples_per_second": 2.894,
"eval_steps_per_second": 2.894,
"step": 28
},
{
"epoch": 5.217391304347826,
"grad_norm": 0.6776373982429504,
"learning_rate": 9.987820251299122e-05,
"loss": 0.4199,
"step": 30
},
{
"epoch": 5.565217391304348,
"grad_norm": 0.5079626441001892,
"learning_rate": 9.976136999909156e-05,
"loss": 0.3505,
"step": 32
},
{
"epoch": 5.913043478260869,
"grad_norm": 0.4722975194454193,
"learning_rate": 9.96057350657239e-05,
"loss": 0.2407,
"step": 34
},
{
"epoch": 5.913043478260869,
"eval_loss": 0.42708635330200195,
"eval_runtime": 4.1456,
"eval_samples_per_second": 2.895,
"eval_steps_per_second": 2.895,
"step": 34
},
{
"epoch": 6.260869565217392,
"grad_norm": 0.4819077253341675,
"learning_rate": 9.941141907232765e-05,
"loss": 0.2277,
"step": 36
},
{
"epoch": 6.608695652173913,
"grad_norm": 0.6771033406257629,
"learning_rate": 9.917857354066931e-05,
"loss": 0.3285,
"step": 38
},
{
"epoch": 6.956521739130435,
"grad_norm": 0.5343215465545654,
"learning_rate": 9.890738003669029e-05,
"loss": 0.2032,
"step": 40
},
{
"epoch": 6.956521739130435,
"eval_loss": 0.42271220684051514,
"eval_runtime": 4.1435,
"eval_samples_per_second": 2.896,
"eval_steps_per_second": 2.896,
"step": 40
},
{
"epoch": 7.304347826086957,
"grad_norm": 1.0948623418807983,
"learning_rate": 9.859805002892732e-05,
"loss": 0.17,
"step": 42
},
{
"epoch": 7.6521739130434785,
"grad_norm": 0.5120678544044495,
"learning_rate": 9.825082472361557e-05,
"loss": 0.1442,
"step": 44
},
{
"epoch": 8.0,
"grad_norm": 0.6902849078178406,
"learning_rate": 9.786597487660337e-05,
"loss": 0.2575,
"step": 46
},
{
"epoch": 8.0,
"eval_loss": 0.4339255392551422,
"eval_runtime": 4.1392,
"eval_samples_per_second": 2.899,
"eval_steps_per_second": 2.899,
"step": 46
},
{
"epoch": 8.347826086956522,
"grad_norm": 0.5653378367424011,
"learning_rate": 9.744380058222483e-05,
"loss": 0.1162,
"step": 48
},
{
"epoch": 8.695652173913043,
"grad_norm": 0.5017738342285156,
"learning_rate": 9.698463103929542e-05,
"loss": 0.1486,
"step": 50
},
{
"epoch": 8.869565217391305,
"eval_loss": 0.48427414894104004,
"eval_runtime": 4.1461,
"eval_samples_per_second": 2.894,
"eval_steps_per_second": 2.894,
"step": 51
},
{
"epoch": 9.043478260869565,
"grad_norm": 1.150048851966858,
"learning_rate": 9.648882429441257e-05,
"loss": 0.1247,
"step": 52
},
{
"epoch": 9.391304347826088,
"grad_norm": 0.5316926836967468,
"learning_rate": 9.595676696276172e-05,
"loss": 0.0568,
"step": 54
},
{
"epoch": 9.73913043478261,
"grad_norm": 0.6746953725814819,
"learning_rate": 9.538887392664544e-05,
"loss": 0.0961,
"step": 56
},
{
"epoch": 9.91304347826087,
"eval_loss": 0.5847387313842773,
"eval_runtime": 4.1449,
"eval_samples_per_second": 2.895,
"eval_steps_per_second": 2.895,
"step": 57
},
{
"epoch": 10.08695652173913,
"grad_norm": 0.5914088487625122,
"learning_rate": 9.478558801197065e-05,
"loss": 0.074,
"step": 58
},
{
"epoch": 10.434782608695652,
"grad_norm": 0.5299249887466431,
"learning_rate": 9.414737964294636e-05,
"loss": 0.0294,
"step": 60
},
{
"epoch": 10.782608695652174,
"grad_norm": 0.919384777545929,
"learning_rate": 9.347474647526095e-05,
"loss": 0.0285,
"step": 62
},
{
"epoch": 10.956521739130435,
"eval_loss": 0.7613394856452942,
"eval_runtime": 4.144,
"eval_samples_per_second": 2.896,
"eval_steps_per_second": 2.896,
"step": 63
},
{
"epoch": 11.130434782608695,
"grad_norm": 0.4312540888786316,
"learning_rate": 9.276821300802534e-05,
"loss": 0.0218,
"step": 64
},
{
"epoch": 11.478260869565217,
"grad_norm": 0.10152506828308105,
"learning_rate": 9.202833017478422e-05,
"loss": 0.0079,
"step": 66
},
{
"epoch": 11.826086956521738,
"grad_norm": 1.1622179746627808,
"learning_rate": 9.125567491391476e-05,
"loss": 0.0231,
"step": 68
},
{
"epoch": 12.0,
"eval_loss": 0.8746951222419739,
"eval_runtime": 4.1414,
"eval_samples_per_second": 2.898,
"eval_steps_per_second": 2.898,
"step": 69
},
{
"epoch": 12.173913043478262,
"grad_norm": 0.28440412878990173,
"learning_rate": 9.045084971874738e-05,
"loss": 0.0052,
"step": 70
},
{
"epoch": 12.521739130434783,
"grad_norm": 0.2543913424015045,
"learning_rate": 8.961448216775954e-05,
"loss": 0.0042,
"step": 72
},
{
"epoch": 12.869565217391305,
"grad_norm": 1.0935192108154297,
"learning_rate": 8.874722443520899e-05,
"loss": 0.0118,
"step": 74
},
{
"epoch": 12.869565217391305,
"eval_loss": 0.9378873705863953,
"eval_runtime": 4.145,
"eval_samples_per_second": 2.895,
"eval_steps_per_second": 2.895,
"step": 74
},
{
"epoch": 13.217391304347826,
"grad_norm": 0.28088173270225525,
"learning_rate": 8.784975278258783e-05,
"loss": 0.0044,
"step": 76
},
{
"epoch": 13.565217391304348,
"grad_norm": 0.14173804223537445,
"learning_rate": 8.692276703129421e-05,
"loss": 0.0027,
"step": 78
},
{
"epoch": 13.91304347826087,
"grad_norm": 1.3909518718719482,
"learning_rate": 8.596699001693255e-05,
"loss": 0.0095,
"step": 80
},
{
"epoch": 13.91304347826087,
"eval_loss": 1.0328662395477295,
"eval_runtime": 4.1433,
"eval_samples_per_second": 2.896,
"eval_steps_per_second": 2.896,
"step": 80
},
{
"epoch": 13.91304347826087,
"step": 80,
"total_flos": 1.7573306278346752e+16,
"train_loss": 0.6591164629440754,
"train_runtime": 754.5401,
"train_samples_per_second": 3.048,
"train_steps_per_second": 0.331
}
],
"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": 1.7573306278346752e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}