GaetanMichelet's picture
Model save
5c9fb34 verified
raw
history blame contribute delete
No virus
12.1 kB
{
"best_metric": 0.4301711618900299,
"best_model_checkpoint": "data/Llama-31-8B_task-3_120-samples_config-2/checkpoint-49",
"epoch": 16.0,
"eval_steps": 500,
"global_step": 88,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18181818181818182,
"grad_norm": 3.1685640811920166,
"learning_rate": 4.000000000000001e-06,
"loss": 2.8174,
"step": 1
},
{
"epoch": 0.36363636363636365,
"grad_norm": 2.785682201385498,
"learning_rate": 8.000000000000001e-06,
"loss": 2.5884,
"step": 2
},
{
"epoch": 0.7272727272727273,
"grad_norm": 2.4684979915618896,
"learning_rate": 1.6000000000000003e-05,
"loss": 2.4469,
"step": 4
},
{
"epoch": 0.9090909090909091,
"eval_loss": 2.3539235591888428,
"eval_runtime": 21.0038,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 5
},
{
"epoch": 1.0909090909090908,
"grad_norm": 2.485983371734619,
"learning_rate": 2.4e-05,
"loss": 2.2775,
"step": 6
},
{
"epoch": 1.4545454545454546,
"grad_norm": 3.0354607105255127,
"learning_rate": 3.2000000000000005e-05,
"loss": 2.253,
"step": 8
},
{
"epoch": 1.8181818181818183,
"grad_norm": 2.2072792053222656,
"learning_rate": 4e-05,
"loss": 1.8346,
"step": 10
},
{
"epoch": 2.0,
"eval_loss": 1.4921633005142212,
"eval_runtime": 21.0005,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 11
},
{
"epoch": 2.1818181818181817,
"grad_norm": 2.2485885620117188,
"learning_rate": 4.8e-05,
"loss": 1.5834,
"step": 12
},
{
"epoch": 2.5454545454545454,
"grad_norm": 1.686313509941101,
"learning_rate": 5.6000000000000006e-05,
"loss": 1.2001,
"step": 14
},
{
"epoch": 2.909090909090909,
"grad_norm": 1.5054450035095215,
"learning_rate": 6.400000000000001e-05,
"loss": 0.7576,
"step": 16
},
{
"epoch": 2.909090909090909,
"eval_loss": 0.7652478218078613,
"eval_runtime": 20.9987,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 16
},
{
"epoch": 3.2727272727272725,
"grad_norm": 0.7856181263923645,
"learning_rate": 7.2e-05,
"loss": 0.53,
"step": 18
},
{
"epoch": 3.6363636363636362,
"grad_norm": 1.1085258722305298,
"learning_rate": 8e-05,
"loss": 0.6365,
"step": 20
},
{
"epoch": 4.0,
"grad_norm": 1.0253838300704956,
"learning_rate": 8.800000000000001e-05,
"loss": 0.6409,
"step": 22
},
{
"epoch": 4.0,
"eval_loss": 0.5626702308654785,
"eval_runtime": 21.0032,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 22
},
{
"epoch": 4.363636363636363,
"grad_norm": 1.1476973295211792,
"learning_rate": 9.6e-05,
"loss": 0.4895,
"step": 24
},
{
"epoch": 4.7272727272727275,
"grad_norm": 0.519312858581543,
"learning_rate": 9.999512620046522e-05,
"loss": 0.4304,
"step": 26
},
{
"epoch": 4.909090909090909,
"eval_loss": 0.5238025784492493,
"eval_runtime": 21.0026,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 27
},
{
"epoch": 5.090909090909091,
"grad_norm": 2.1630260944366455,
"learning_rate": 9.995614150494293e-05,
"loss": 0.4678,
"step": 28
},
{
"epoch": 5.454545454545454,
"grad_norm": 0.2825535237789154,
"learning_rate": 9.987820251299122e-05,
"loss": 0.3661,
"step": 30
},
{
"epoch": 5.818181818181818,
"grad_norm": 0.2835836708545685,
"learning_rate": 9.976136999909156e-05,
"loss": 0.3624,
"step": 32
},
{
"epoch": 6.0,
"eval_loss": 0.470536470413208,
"eval_runtime": 20.9986,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 33
},
{
"epoch": 6.181818181818182,
"grad_norm": 1.6048427820205688,
"learning_rate": 9.96057350657239e-05,
"loss": 0.3769,
"step": 34
},
{
"epoch": 6.545454545454545,
"grad_norm": 0.4334805905818939,
"learning_rate": 9.941141907232765e-05,
"loss": 0.4372,
"step": 36
},
{
"epoch": 6.909090909090909,
"grad_norm": 0.33416426181793213,
"learning_rate": 9.917857354066931e-05,
"loss": 0.3967,
"step": 38
},
{
"epoch": 6.909090909090909,
"eval_loss": 0.4451916515827179,
"eval_runtime": 20.9951,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 38
},
{
"epoch": 7.2727272727272725,
"grad_norm": 0.2907244861125946,
"learning_rate": 9.890738003669029e-05,
"loss": 0.3551,
"step": 40
},
{
"epoch": 7.636363636363637,
"grad_norm": 0.22854046523571014,
"learning_rate": 9.859805002892732e-05,
"loss": 0.2277,
"step": 42
},
{
"epoch": 8.0,
"grad_norm": 0.2439097911119461,
"learning_rate": 9.825082472361557e-05,
"loss": 0.3293,
"step": 44
},
{
"epoch": 8.0,
"eval_loss": 0.4328186511993408,
"eval_runtime": 20.9972,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 44
},
{
"epoch": 8.363636363636363,
"grad_norm": 0.2829444110393524,
"learning_rate": 9.786597487660337e-05,
"loss": 0.3193,
"step": 46
},
{
"epoch": 8.727272727272727,
"grad_norm": 0.5520598292350769,
"learning_rate": 9.744380058222483e-05,
"loss": 0.2432,
"step": 48
},
{
"epoch": 8.909090909090908,
"eval_loss": 0.4301711618900299,
"eval_runtime": 21.2227,
"eval_samples_per_second": 1.131,
"eval_steps_per_second": 1.131,
"step": 49
},
{
"epoch": 9.090909090909092,
"grad_norm": 0.37884312868118286,
"learning_rate": 9.698463103929542e-05,
"loss": 0.3439,
"step": 50
},
{
"epoch": 9.454545454545455,
"grad_norm": 0.4332423508167267,
"learning_rate": 9.648882429441257e-05,
"loss": 0.283,
"step": 52
},
{
"epoch": 9.818181818181818,
"grad_norm": 0.306794673204422,
"learning_rate": 9.595676696276172e-05,
"loss": 0.2102,
"step": 54
},
{
"epoch": 10.0,
"eval_loss": 0.43588265776634216,
"eval_runtime": 21.2262,
"eval_samples_per_second": 1.131,
"eval_steps_per_second": 1.131,
"step": 55
},
{
"epoch": 10.181818181818182,
"grad_norm": 0.4354619085788727,
"learning_rate": 9.538887392664544e-05,
"loss": 0.184,
"step": 56
},
{
"epoch": 10.545454545454545,
"grad_norm": 0.3915146291255951,
"learning_rate": 9.478558801197065e-05,
"loss": 0.2344,
"step": 58
},
{
"epoch": 10.909090909090908,
"grad_norm": 0.35923001170158386,
"learning_rate": 9.414737964294636e-05,
"loss": 0.2004,
"step": 60
},
{
"epoch": 10.909090909090908,
"eval_loss": 0.4582943022251129,
"eval_runtime": 21.2266,
"eval_samples_per_second": 1.131,
"eval_steps_per_second": 1.131,
"step": 60
},
{
"epoch": 11.272727272727273,
"grad_norm": 0.5079478621482849,
"learning_rate": 9.347474647526095e-05,
"loss": 0.149,
"step": 62
},
{
"epoch": 11.636363636363637,
"grad_norm": 0.5917227864265442,
"learning_rate": 9.276821300802534e-05,
"loss": 0.1587,
"step": 64
},
{
"epoch": 12.0,
"grad_norm": 0.5818120837211609,
"learning_rate": 9.202833017478422e-05,
"loss": 0.1634,
"step": 66
},
{
"epoch": 12.0,
"eval_loss": 0.47242483496665955,
"eval_runtime": 20.9934,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 66
},
{
"epoch": 12.363636363636363,
"grad_norm": 0.4436568319797516,
"learning_rate": 9.125567491391476e-05,
"loss": 0.0713,
"step": 68
},
{
"epoch": 12.727272727272727,
"grad_norm": 1.2484676837921143,
"learning_rate": 9.045084971874738e-05,
"loss": 0.1177,
"step": 70
},
{
"epoch": 12.909090909090908,
"eval_loss": 0.5530457496643066,
"eval_runtime": 21.002,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 71
},
{
"epoch": 13.090909090909092,
"grad_norm": 0.6471790671348572,
"learning_rate": 8.961448216775954e-05,
"loss": 0.0837,
"step": 72
},
{
"epoch": 13.454545454545455,
"grad_norm": 0.5037362575531006,
"learning_rate": 8.874722443520899e-05,
"loss": 0.0458,
"step": 74
},
{
"epoch": 13.818181818181818,
"grad_norm": 1.0372614860534668,
"learning_rate": 8.784975278258783e-05,
"loss": 0.0376,
"step": 76
},
{
"epoch": 14.0,
"eval_loss": 0.7361419796943665,
"eval_runtime": 20.9955,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 77
},
{
"epoch": 14.181818181818182,
"grad_norm": 0.38053688406944275,
"learning_rate": 8.692276703129421e-05,
"loss": 0.0366,
"step": 78
},
{
"epoch": 14.545454545454545,
"grad_norm": 0.38170501589775085,
"learning_rate": 8.596699001693255e-05,
"loss": 0.0225,
"step": 80
},
{
"epoch": 14.909090909090908,
"grad_norm": 0.6007455587387085,
"learning_rate": 8.498316702566828e-05,
"loss": 0.0204,
"step": 82
},
{
"epoch": 14.909090909090908,
"eval_loss": 0.7768494486808777,
"eval_runtime": 21.0007,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 82
},
{
"epoch": 15.272727272727273,
"grad_norm": 0.11449413001537323,
"learning_rate": 8.397206521307584e-05,
"loss": 0.01,
"step": 84
},
{
"epoch": 15.636363636363637,
"grad_norm": 0.4309659004211426,
"learning_rate": 8.293447300593402e-05,
"loss": 0.0103,
"step": 86
},
{
"epoch": 16.0,
"grad_norm": 0.4790915250778198,
"learning_rate": 8.18711994874345e-05,
"loss": 0.0118,
"step": 88
},
{
"epoch": 16.0,
"eval_loss": 0.8608195185661316,
"eval_runtime": 21.0029,
"eval_samples_per_second": 1.143,
"eval_steps_per_second": 1.143,
"step": 88
},
{
"epoch": 16.0,
"step": 88,
"total_flos": 1.098992984302551e+17,
"train_loss": 0.54680911203931,
"train_runtime": 4057.6932,
"train_samples_per_second": 1.084,
"train_steps_per_second": 0.062
}
],
"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": 1.098992984302551e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}