Zhangyuxuan's picture
Upload 26 files
cb2e05d
{
"best_metric": NaN,
"best_model_checkpoint": "japanese-lora-alpaca/checkpoint-200",
"epoch": 2.051195904327654,
"global_step": 800,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05,
"learning_rate": 0.0,
"loss": 1.9688795594149578e+30,
"step": 20
},
{
"epoch": 0.1,
"learning_rate": 0.0,
"loss": 1.317319656026326e+31,
"step": 40
},
{
"epoch": 0.15,
"learning_rate": 0.0,
"loss": 1.431492931568305e+30,
"step": 60
},
{
"epoch": 0.2,
"learning_rate": 0.0,
"loss": 1.2596809078781474e+29,
"step": 80
},
{
"epoch": 0.26,
"learning_rate": 0.0,
"loss": 7.78457860626805e+29,
"step": 100
},
{
"epoch": 0.31,
"learning_rate": 0.0,
"loss": 4.3205824045723626e+29,
"step": 120
},
{
"epoch": 0.36,
"learning_rate": 0.0,
"loss": 4.2652842037741146e+26,
"step": 140
},
{
"epoch": 0.41,
"learning_rate": 0.0,
"loss": 1.2042161347636073e+31,
"step": 160
},
{
"epoch": 0.46,
"learning_rate": 4.2e-05,
"loss": 5.4732492073607035e+32,
"step": 180
},
{
"epoch": 0.51,
"learning_rate": 0.000102,
"loss": 5.026698446384883e+28,
"step": 200
},
{
"epoch": 0.51,
"eval_loss": NaN,
"eval_runtime": 104.6208,
"eval_samples_per_second": 19.117,
"eval_steps_per_second": 2.39,
"step": 200
},
{
"epoch": 0.56,
"learning_rate": 0.000162,
"loss": 3.527059212612975e+30,
"step": 220
},
{
"epoch": 0.61,
"learning_rate": 0.00022199999999999998,
"loss": 3.552828977615335e+29,
"step": 240
},
{
"epoch": 0.67,
"learning_rate": 0.00028199999999999997,
"loss": 1.9742319651445058e+28,
"step": 260
},
{
"epoch": 0.72,
"learning_rate": 0.00029607476635514017,
"loss": 2.2754181268717054e+31,
"step": 280
},
{
"epoch": 0.77,
"learning_rate": 0.00029046728971962615,
"loss": 2.8977228958522534e+30,
"step": 300
},
{
"epoch": 0.82,
"learning_rate": 0.00028485981308411213,
"loss": 9.199314224149786e+28,
"step": 320
},
{
"epoch": 0.87,
"learning_rate": 0.0002792523364485981,
"loss": 4.467849818908903e+28,
"step": 340
},
{
"epoch": 0.92,
"learning_rate": 0.0002736448598130841,
"loss": 7.683142355554883e+30,
"step": 360
},
{
"epoch": 0.97,
"learning_rate": 0.00026803738317757007,
"loss": 8.47695762399229e+28,
"step": 380
},
{
"epoch": 1.03,
"learning_rate": 0.00026242990654205605,
"loss": 5.750158191352777e+28,
"step": 400
},
{
"epoch": 1.03,
"eval_loss": NaN,
"eval_runtime": 104.8725,
"eval_samples_per_second": 19.071,
"eval_steps_per_second": 2.384,
"step": 400
},
{
"epoch": 1.08,
"learning_rate": 0.00025682242990654204,
"loss": 1.511076131417274e+31,
"step": 420
},
{
"epoch": 1.13,
"learning_rate": 0.000251214953271028,
"loss": 8.163499842142527e+30,
"step": 440
},
{
"epoch": 1.18,
"learning_rate": 0.000245607476635514,
"loss": 8.08162943624534e+27,
"step": 460
},
{
"epoch": 1.23,
"learning_rate": 0.00023999999999999998,
"loss": 7.625678726356304e+30,
"step": 480
},
{
"epoch": 1.28,
"learning_rate": 0.00023439252336448596,
"loss": 1.6030343069905966e+30,
"step": 500
},
{
"epoch": 1.33,
"learning_rate": 0.00022878504672897194,
"loss": 1.5262935093501894e+30,
"step": 520
},
{
"epoch": 1.38,
"learning_rate": 0.00022317757009345792,
"loss": 7.634831987306935e+28,
"step": 540
},
{
"epoch": 1.44,
"learning_rate": 0.0002175700934579439,
"loss": 3.5534372486414743e+31,
"step": 560
},
{
"epoch": 1.49,
"learning_rate": 0.00021196261682242989,
"loss": 2.4269485037904036e+29,
"step": 580
},
{
"epoch": 1.54,
"learning_rate": 0.00020635514018691587,
"loss": 5.4389742841217565e+31,
"step": 600
},
{
"epoch": 1.54,
"eval_loss": NaN,
"eval_runtime": 104.2474,
"eval_samples_per_second": 19.185,
"eval_steps_per_second": 2.398,
"step": 600
},
{
"epoch": 1.59,
"learning_rate": 0.00020074766355140185,
"loss": 1.1437688736199055e+28,
"step": 620
},
{
"epoch": 1.64,
"learning_rate": 0.00019514018691588783,
"loss": 3.8293792591118507e+27,
"step": 640
},
{
"epoch": 1.69,
"learning_rate": 0.0001895327102803738,
"loss": 6.2081077458410555e+32,
"step": 660
},
{
"epoch": 1.74,
"learning_rate": 0.0001839252336448598,
"loss": 8.158099328721144e+30,
"step": 680
},
{
"epoch": 1.79,
"learning_rate": 0.00017831775700934577,
"loss": 1.3757688257315705e+30,
"step": 700
},
{
"epoch": 1.84,
"learning_rate": 0.00017271028037383175,
"loss": 1.0185220430876456e+29,
"step": 720
},
{
"epoch": 1.9,
"learning_rate": 0.00016710280373831774,
"loss": 1.7034122942644185e+29,
"step": 740
},
{
"epoch": 1.95,
"learning_rate": 0.00016149532710280372,
"loss": 2.744296367142522e+28,
"step": 760
},
{
"epoch": 2.0,
"learning_rate": 0.0001558878504672897,
"loss": 2.237018774278122e+31,
"step": 780
},
{
"epoch": 2.05,
"learning_rate": 0.00015028037383177568,
"loss": 6.440347599779466e+34,
"step": 800
},
{
"epoch": 2.05,
"eval_loss": NaN,
"eval_runtime": 104.6953,
"eval_samples_per_second": 19.103,
"eval_steps_per_second": 2.388,
"step": 800
}
],
"max_steps": 1170,
"num_train_epochs": 3,
"total_flos": 1.0415704707484877e+18,
"trial_name": null,
"trial_params": null
}