Grogros's picture
Training in progress, step 4000, checkpoint
c858a42 verified
raw
history blame
7.64 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.12254714235382423,
"eval_steps": 500,
"global_step": 4000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.003063678558845606,
"grad_norm": 2.5270798206329346,
"learning_rate": 1.0000000000000002e-06,
"loss": 3.1564,
"step": 100
},
{
"epoch": 0.006127357117691212,
"grad_norm": 2.604092597961426,
"learning_rate": 2.0000000000000003e-06,
"loss": 3.1166,
"step": 200
},
{
"epoch": 0.009191035676536818,
"grad_norm": 2.5005924701690674,
"learning_rate": 3e-06,
"loss": 3.0905,
"step": 300
},
{
"epoch": 0.012254714235382424,
"grad_norm": 2.7525177001953125,
"learning_rate": 4.000000000000001e-06,
"loss": 3.0652,
"step": 400
},
{
"epoch": 0.015318392794228029,
"grad_norm": 2.5251283645629883,
"learning_rate": 5e-06,
"loss": 3.0351,
"step": 500
},
{
"epoch": 0.018382071353073636,
"grad_norm": 2.6771860122680664,
"learning_rate": 6e-06,
"loss": 3.0028,
"step": 600
},
{
"epoch": 0.02144574991191924,
"grad_norm": 2.4799458980560303,
"learning_rate": 7e-06,
"loss": 3.0007,
"step": 700
},
{
"epoch": 0.024509428470764847,
"grad_norm": 2.8402369022369385,
"learning_rate": 8.000000000000001e-06,
"loss": 2.9753,
"step": 800
},
{
"epoch": 0.027573107029610452,
"grad_norm": 2.446842908859253,
"learning_rate": 9e-06,
"loss": 2.9737,
"step": 900
},
{
"epoch": 0.030636785588456058,
"grad_norm": 2.3989391326904297,
"learning_rate": 1e-05,
"loss": 2.9618,
"step": 1000
},
{
"epoch": 0.03370046414730166,
"grad_norm": 2.469160795211792,
"learning_rate": 9.99695413509548e-06,
"loss": 2.928,
"step": 1100
},
{
"epoch": 0.03676414270614727,
"grad_norm": 2.4107494354248047,
"learning_rate": 9.987820251299121e-06,
"loss": 2.9214,
"step": 1200
},
{
"epoch": 0.039827821264992874,
"grad_norm": 2.540278911590576,
"learning_rate": 9.972609476841368e-06,
"loss": 2.9198,
"step": 1300
},
{
"epoch": 0.04289149982383848,
"grad_norm": 2.4398670196533203,
"learning_rate": 9.951340343707852e-06,
"loss": 2.9182,
"step": 1400
},
{
"epoch": 0.04595517838268409,
"grad_norm": 2.49687123298645,
"learning_rate": 9.924038765061042e-06,
"loss": 2.8994,
"step": 1500
},
{
"epoch": 0.049018856941529694,
"grad_norm": 2.4655182361602783,
"learning_rate": 9.890738003669029e-06,
"loss": 2.8805,
"step": 1600
},
{
"epoch": 0.0520825355003753,
"grad_norm": 2.4170656204223633,
"learning_rate": 9.851478631379982e-06,
"loss": 2.8829,
"step": 1700
},
{
"epoch": 0.055146214059220905,
"grad_norm": 2.362334966659546,
"learning_rate": 9.806308479691595e-06,
"loss": 2.8891,
"step": 1800
},
{
"epoch": 0.058209892618066514,
"grad_norm": 2.426173210144043,
"learning_rate": 9.755282581475769e-06,
"loss": 2.875,
"step": 1900
},
{
"epoch": 0.061273571176912116,
"grad_norm": 2.6380629539489746,
"learning_rate": 9.698463103929542e-06,
"loss": 2.879,
"step": 2000
},
{
"epoch": 0.06433724973575772,
"grad_norm": 2.5123095512390137,
"learning_rate": 9.635919272833938e-06,
"loss": 2.8622,
"step": 2100
},
{
"epoch": 0.06740092829460333,
"grad_norm": 2.3789472579956055,
"learning_rate": 9.567727288213005e-06,
"loss": 2.8669,
"step": 2200
},
{
"epoch": 0.07046460685344894,
"grad_norm": 2.387221336364746,
"learning_rate": 9.493970231495836e-06,
"loss": 2.8641,
"step": 2300
},
{
"epoch": 0.07352828541229454,
"grad_norm": 2.4947221279144287,
"learning_rate": 9.414737964294636e-06,
"loss": 2.8525,
"step": 2400
},
{
"epoch": 0.07659196397114015,
"grad_norm": 2.390381097793579,
"learning_rate": 9.330127018922195e-06,
"loss": 2.8497,
"step": 2500
},
{
"epoch": 0.07965564252998575,
"grad_norm": 2.451345682144165,
"learning_rate": 9.24024048078213e-06,
"loss": 2.8482,
"step": 2600
},
{
"epoch": 0.08271932108883136,
"grad_norm": 2.317512035369873,
"learning_rate": 9.145187862775208e-06,
"loss": 2.8486,
"step": 2700
},
{
"epoch": 0.08578299964767697,
"grad_norm": 2.620295524597168,
"learning_rate": 9.045084971874738e-06,
"loss": 2.8474,
"step": 2800
},
{
"epoch": 0.08884667820652258,
"grad_norm": 2.3616020679473877,
"learning_rate": 8.94005376803361e-06,
"loss": 2.8283,
"step": 2900
},
{
"epoch": 0.09191035676536818,
"grad_norm": 2.517153263092041,
"learning_rate": 8.83022221559489e-06,
"loss": 2.8451,
"step": 3000
},
{
"epoch": 0.09497403532421378,
"grad_norm": 2.6935179233551025,
"learning_rate": 8.715724127386971e-06,
"loss": 2.8472,
"step": 3100
},
{
"epoch": 0.09803771388305939,
"grad_norm": 2.4080545902252197,
"learning_rate": 8.596699001693257e-06,
"loss": 2.8428,
"step": 3200
},
{
"epoch": 0.101101392441905,
"grad_norm": 2.369750499725342,
"learning_rate": 8.473291852294986e-06,
"loss": 2.829,
"step": 3300
},
{
"epoch": 0.1041650710007506,
"grad_norm": 2.3385934829711914,
"learning_rate": 8.345653031794292e-06,
"loss": 2.8349,
"step": 3400
},
{
"epoch": 0.1072287495595962,
"grad_norm": 2.2659566402435303,
"learning_rate": 8.213938048432697e-06,
"loss": 2.8306,
"step": 3500
},
{
"epoch": 0.11029242811844181,
"grad_norm": 2.508164882659912,
"learning_rate": 8.078307376628292e-06,
"loss": 2.8225,
"step": 3600
},
{
"epoch": 0.11335610667728742,
"grad_norm": 2.302351713180542,
"learning_rate": 7.938926261462366e-06,
"loss": 2.808,
"step": 3700
},
{
"epoch": 0.11641978523613303,
"grad_norm": 2.3972647190093994,
"learning_rate": 7.795964517353734e-06,
"loss": 2.8214,
"step": 3800
},
{
"epoch": 0.11948346379497864,
"grad_norm": 2.4006614685058594,
"learning_rate": 7.649596321166024e-06,
"loss": 2.8198,
"step": 3900
},
{
"epoch": 0.12254714235382423,
"grad_norm": 2.271172285079956,
"learning_rate": 7.500000000000001e-06,
"loss": 2.8186,
"step": 4000
}
],
"logging_steps": 100,
"max_steps": 10000,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 3.82656621576192e+17,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}