bill-wurtz / trainer_state.json
AlekseyKorshuk's picture
huggingartists
4dede35
{
"best_metric": 2.6812992095947266,
"best_model_checkpoint": "output/bill-wurtz/checkpoint-140",
"epoch": 5.0,
"global_step": 140,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.19,
"learning_rate": 0.00012591446386292745,
"loss": 3.5789,
"step": 5
},
{
"epoch": 0.37,
"learning_rate": 9.577107195028616e-05,
"loss": 3.3728,
"step": 10
},
{
"epoch": 0.56,
"learning_rate": 5.668773501204858e-05,
"loss": 3.2429,
"step": 15
},
{
"epoch": 0.74,
"learning_rate": 2.152382364220488e-05,
"loss": 3.2491,
"step": 20
},
{
"epoch": 0.93,
"learning_rate": 1.849121878224087e-06,
"loss": 3.1415,
"step": 25
},
{
"epoch": 1.0,
"eval_loss": 3.1433706283569336,
"eval_runtime": 0.6351,
"eval_samples_per_second": 42.515,
"eval_steps_per_second": 6.299,
"step": 27
},
{
"epoch": 1.11,
"learning_rate": 4.137086214086682e-06,
"loss": 2.9586,
"step": 30
},
{
"epoch": 1.3,
"learning_rate": 2.7634920609188867e-05,
"loss": 3.0624,
"step": 35
},
{
"epoch": 1.48,
"learning_rate": 6.461126473674133e-05,
"loss": 2.9663,
"step": 40
},
{
"epoch": 1.67,
"learning_rate": 0.00010290000000000001,
"loss": 2.8978,
"step": 45
},
{
"epoch": 1.85,
"learning_rate": 0.0001299031991261861,
"loss": 2.9441,
"step": 50
},
{
"epoch": 2.0,
"eval_loss": 3.056016445159912,
"eval_runtime": 0.6316,
"eval_samples_per_second": 42.746,
"eval_steps_per_second": 6.333,
"step": 54
},
{
"epoch": 1.96,
"learning_rate": 0.00013676865759867644,
"loss": 2.5878,
"step": 55
},
{
"epoch": 2.0,
"eval_loss": 2.762599468231201,
"eval_runtime": 0.5151,
"eval_samples_per_second": 40.769,
"eval_steps_per_second": 5.824,
"step": 56
},
{
"epoch": 2.14,
"learning_rate": 0.00013040646433810595,
"loss": 2.8115,
"step": 60
},
{
"epoch": 2.32,
"learning_rate": 0.00010509740044895205,
"loss": 2.5949,
"step": 65
},
{
"epoch": 2.5,
"learning_rate": 6.860000000000001e-05,
"loss": 2.6643,
"step": 70
},
{
"epoch": 2.68,
"learning_rate": 3.210259955104798e-05,
"loss": 2.5837,
"step": 75
},
{
"epoch": 2.86,
"learning_rate": 6.793535661894062e-06,
"loss": 2.7461,
"step": 80
},
{
"epoch": 3.0,
"eval_loss": 2.6894850730895996,
"eval_runtime": 0.5306,
"eval_samples_per_second": 39.579,
"eval_steps_per_second": 5.654,
"step": 84
},
{
"epoch": 3.04,
"learning_rate": 4.313424013235498e-07,
"loss": 2.4693,
"step": 85
},
{
"epoch": 3.21,
"learning_rate": 1.496636030269314e-05,
"loss": 2.4734,
"step": 90
},
{
"epoch": 3.39,
"learning_rate": 4.594285634987545e-05,
"loss": 2.5555,
"step": 95
},
{
"epoch": 3.57,
"learning_rate": 8.386493606940314e-05,
"loss": 2.498,
"step": 100
},
{
"epoch": 3.75,
"learning_rate": 0.0001171075251893971,
"loss": 2.3626,
"step": 105
},
{
"epoch": 3.93,
"learning_rate": 0.0001354800547756731,
"loss": 2.4603,
"step": 110
},
{
"epoch": 4.0,
"eval_loss": 2.6920154094696045,
"eval_runtime": 0.5456,
"eval_samples_per_second": 38.49,
"eval_steps_per_second": 5.499,
"step": 112
},
{
"epoch": 4.11,
"learning_rate": 0.00013335039645915404,
"loss": 2.3237,
"step": 115
},
{
"epoch": 4.29,
"learning_rate": 0.00011137140040750914,
"loss": 2.2052,
"step": 120
},
{
"epoch": 4.46,
"learning_rate": 7.62807630606869e-05,
"loss": 2.2121,
"step": 125
},
{
"epoch": 4.64,
"learning_rate": 3.883557549653544e-05,
"loss": 2.2551,
"step": 130
},
{
"epoch": 4.82,
"learning_rate": 1.0514719932939762e-05,
"loss": 2.2849,
"step": 135
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 2.2654,
"step": 140
},
{
"epoch": 5.0,
"eval_loss": 2.6812992095947266,
"eval_runtime": 0.5264,
"eval_samples_per_second": 39.891,
"eval_steps_per_second": 5.699,
"step": 140
}
],
"max_steps": 616,
"num_train_epochs": 22,
"total_flos": 145278369792000.0,
"trial_name": null,
"trial_params": null
}