math-llama3-instruct-MWP2K / trainer_state.json
cterdam's picture
Upload folder using huggingface_hub
f417736 verified
raw
history blame contribute delete
No virus
3.84 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.4336917562724014,
"eval_steps": 2000,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07,
"grad_norm": 2.5333876609802246,
"learning_rate": 9.9e-07,
"loss": 0.9981,
"step": 100
},
{
"epoch": 0.14,
"grad_norm": 2.1556735038757324,
"learning_rate": 9.9e-07,
"loss": 0.7461,
"step": 200
},
{
"epoch": 0.22,
"grad_norm": 2.5188281536102295,
"learning_rate": 9.7989898989899e-07,
"loss": 0.6707,
"step": 300
},
{
"epoch": 0.29,
"grad_norm": 2.559631824493408,
"learning_rate": 9.697979797979798e-07,
"loss": 0.6281,
"step": 400
},
{
"epoch": 0.36,
"grad_norm": 3.3940675258636475,
"learning_rate": 9.596969696969696e-07,
"loss": 0.6437,
"step": 500
},
{
"epoch": 0.43,
"grad_norm": 2.0749378204345703,
"learning_rate": 9.495959595959595e-07,
"loss": 0.6319,
"step": 600
},
{
"epoch": 0.5,
"grad_norm": 2.3027114868164062,
"learning_rate": 9.394949494949495e-07,
"loss": 0.6477,
"step": 700
},
{
"epoch": 0.57,
"grad_norm": 1.6429717540740967,
"learning_rate": 9.293939393939394e-07,
"loss": 0.6564,
"step": 800
},
{
"epoch": 0.65,
"grad_norm": 2.391716718673706,
"learning_rate": 9.192929292929292e-07,
"loss": 0.6263,
"step": 900
},
{
"epoch": 0.72,
"grad_norm": 2.9794795513153076,
"learning_rate": 9.091919191919192e-07,
"loss": 0.6422,
"step": 1000
},
{
"epoch": 0.79,
"grad_norm": 2.853337049484253,
"learning_rate": 8.99090909090909e-07,
"loss": 0.6043,
"step": 1100
},
{
"epoch": 0.86,
"grad_norm": 2.453305244445801,
"learning_rate": 8.88989898989899e-07,
"loss": 0.5914,
"step": 1200
},
{
"epoch": 0.93,
"grad_norm": 2.768860340118408,
"learning_rate": 8.788888888888889e-07,
"loss": 0.6194,
"step": 1300
},
{
"epoch": 1.0,
"grad_norm": 4.065279483795166,
"learning_rate": 8.687878787878787e-07,
"loss": 0.6038,
"step": 1400
},
{
"epoch": 1.08,
"grad_norm": 3.8275232315063477,
"learning_rate": 8.586868686868687e-07,
"loss": 0.6038,
"step": 1500
},
{
"epoch": 1.15,
"grad_norm": 2.6090586185455322,
"learning_rate": 8.485858585858586e-07,
"loss": 0.592,
"step": 1600
},
{
"epoch": 1.22,
"grad_norm": 1.9870526790618896,
"learning_rate": 8.384848484848484e-07,
"loss": 0.5885,
"step": 1700
},
{
"epoch": 1.29,
"grad_norm": 2.2942471504211426,
"learning_rate": 8.283838383838383e-07,
"loss": 0.622,
"step": 1800
},
{
"epoch": 1.36,
"grad_norm": 2.0904691219329834,
"learning_rate": 8.182828282828283e-07,
"loss": 0.5857,
"step": 1900
},
{
"epoch": 1.43,
"grad_norm": 2.909604072570801,
"learning_rate": 8.081818181818182e-07,
"loss": 0.5841,
"step": 2000
},
{
"epoch": 1.43,
"eval_loss": 0.7236512303352356,
"eval_runtime": 192.8239,
"eval_samples_per_second": 5.186,
"eval_steps_per_second": 0.648,
"step": 2000
}
],
"logging_steps": 100,
"max_steps": 10000,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 2000,
"total_flos": 3.769869715384566e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}