starcoder-1b-conti / checkpoint-700 /trainer_state.json
limernyou's picture
Upload folder using huggingface_hub
d309c05 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.35,
"eval_steps": 100,
"global_step": 700,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0125,
"grad_norm": 0.08136817067861557,
"learning_rate": 0.0004,
"loss": 1.158,
"step": 25
},
{
"epoch": 0.025,
"grad_norm": 0.0653829574584961,
"learning_rate": 0.0004998852503731983,
"loss": 1.0957,
"step": 50
},
{
"epoch": 0.0375,
"grad_norm": 0.11592712253332138,
"learning_rate": 0.0004993848168027977,
"loss": 0.9276,
"step": 75
},
{
"epoch": 0.05,
"grad_norm": 0.08926476538181305,
"learning_rate": 0.0004984880506341147,
"loss": 1.0337,
"step": 100
},
{
"epoch": 0.05,
"eval_loss": 0.9111642837524414,
"eval_runtime": 843.8058,
"eval_samples_per_second": 1.3,
"eval_steps_per_second": 0.021,
"step": 100
},
{
"epoch": 0.0625,
"grad_norm": 0.08632034063339233,
"learning_rate": 0.0004971963770447935,
"loss": 1.0219,
"step": 125
},
{
"epoch": 0.075,
"grad_norm": 0.12949417531490326,
"learning_rate": 0.0004955118488155782,
"loss": 0.784,
"step": 150
},
{
"epoch": 0.0875,
"grad_norm": 0.09222520887851715,
"learning_rate": 0.0004934371430679492,
"loss": 1.0,
"step": 175
},
{
"epoch": 0.1,
"grad_norm": 0.10075929015874863,
"learning_rate": 0.0004909755570095319,
"loss": 0.9617,
"step": 200
},
{
"epoch": 0.1,
"eval_loss": 0.9380430579185486,
"eval_runtime": 856.156,
"eval_samples_per_second": 1.281,
"eval_steps_per_second": 0.021,
"step": 200
},
{
"epoch": 0.1125,
"grad_norm": 0.09567111730575562,
"learning_rate": 0.0004881310026940389,
"loss": 0.7051,
"step": 225
},
{
"epoch": 0.125,
"grad_norm": 0.09723825007677078,
"learning_rate": 0.0004849080008040734,
"loss": 0.9906,
"step": 250
},
{
"epoch": 0.1375,
"grad_norm": 0.09430444985628128,
"learning_rate": 0.00048131167346667446,
"loss": 0.9113,
"step": 275
},
{
"epoch": 0.15,
"grad_norm": 0.09439756721258163,
"learning_rate": 0.00047734773611302284,
"loss": 0.674,
"step": 300
},
{
"epoch": 0.15,
"eval_loss": 0.9544369578361511,
"eval_runtime": 850.9461,
"eval_samples_per_second": 1.289,
"eval_steps_per_second": 0.021,
"step": 300
},
{
"epoch": 0.1625,
"grad_norm": 0.10961435735225677,
"learning_rate": 0.0004730224883952422,
"loss": 0.9701,
"step": 325
},
{
"epoch": 0.175,
"grad_norm": 0.09628895670175552,
"learning_rate": 0.0004683428041747334,
"loss": 0.8976,
"step": 350
},
{
"epoch": 0.1875,
"grad_norm": 0.11085063964128494,
"learning_rate": 0.0004633161205979517,
"loss": 0.6683,
"step": 375
},
{
"epoch": 0.2,
"grad_norm": 0.10140710324048996,
"learning_rate": 0.0004579504262769877,
"loss": 0.9373,
"step": 400
},
{
"epoch": 0.2,
"eval_loss": 0.968166172504425,
"eval_runtime": 853.0258,
"eval_samples_per_second": 1.286,
"eval_steps_per_second": 0.021,
"step": 400
},
{
"epoch": 0.2125,
"grad_norm": 0.13868793845176697,
"learning_rate": 0.0004522542485937369,
"loss": 0.8822,
"step": 425
},
{
"epoch": 0.225,
"grad_norm": 0.11853040754795074,
"learning_rate": 0.00044623664014783386,
"loss": 0.6483,
"step": 450
},
{
"epoch": 0.2375,
"grad_norm": 0.11668186634778976,
"learning_rate": 0.00043990716436988924,
"loss": 0.9374,
"step": 475
},
{
"epoch": 0.25,
"grad_norm": 0.11911585181951523,
"learning_rate": 0.0004332758803228925,
"loss": 0.8434,
"step": 500
},
{
"epoch": 0.25,
"eval_loss": 0.9753186702728271,
"eval_runtime": 851.2812,
"eval_samples_per_second": 1.289,
"eval_steps_per_second": 0.021,
"step": 500
},
{
"epoch": 0.2625,
"grad_norm": 0.09807440638542175,
"learning_rate": 0.00042635332671593575,
"loss": 0.6661,
"step": 525
},
{
"epoch": 0.275,
"grad_norm": 0.09675773978233337,
"learning_rate": 0.00041915050515566445,
"loss": 0.8999,
"step": 550
},
{
"epoch": 0.2875,
"grad_norm": 0.0979737937450409,
"learning_rate": 0.00041167886266207167,
"loss": 0.8616,
"step": 575
},
{
"epoch": 0.3,
"grad_norm": 0.08990875631570816,
"learning_rate": 0.0004039502734764241,
"loss": 0.8167,
"step": 600
},
{
"epoch": 0.3,
"eval_loss": 0.9926204681396484,
"eval_runtime": 851.6484,
"eval_samples_per_second": 1.288,
"eval_steps_per_second": 0.021,
"step": 600
},
{
"epoch": 0.3125,
"grad_norm": 0.09505137801170349,
"learning_rate": 0.0003959770201902294,
"loss": 0.8191,
"step": 625
},
{
"epoch": 0.325,
"grad_norm": 0.09105059504508972,
"learning_rate": 0.0003877717742252371,
"loss": 0.7203,
"step": 650
},
{
"epoch": 0.3375,
"grad_norm": 0.09274734556674957,
"learning_rate": 0.00037934757569549495,
"loss": 0.8154,
"step": 675
},
{
"epoch": 0.35,
"grad_norm": 0.10026416182518005,
"learning_rate": 0.00037071781268346345,
"loss": 0.8336,
"step": 700
},
{
"epoch": 0.35,
"eval_loss": 0.9959912896156311,
"eval_runtime": 849.7662,
"eval_samples_per_second": 1.291,
"eval_steps_per_second": 0.021,
"step": 700
}
],
"logging_steps": 25,
"max_steps": 2000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 7.036241769083699e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}