Zaid's picture
first commit
0e08250
raw
history blame
7.55 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.412280701754386,
"global_step": 2200,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.11,
"learning_rate": 2.973626373626374e-05,
"loss": 1.622,
"step": 100
},
{
"epoch": 0.11,
"eval_accuracy": 0.24010217113665389,
"eval_loss": 1.6581733226776123,
"eval_runtime": 381.1384,
"eval_samples_per_second": 4.109,
"step": 100
},
{
"epoch": 0.22,
"learning_rate": 2.9406593406593407e-05,
"loss": 1.3721,
"step": 200
},
{
"epoch": 0.22,
"eval_accuracy": 0.2835249042145594,
"eval_loss": 1.9170576333999634,
"eval_runtime": 378.5115,
"eval_samples_per_second": 4.137,
"step": 200
},
{
"epoch": 0.33,
"learning_rate": 2.907692307692308e-05,
"loss": 1.1269,
"step": 300
},
{
"epoch": 0.33,
"eval_accuracy": 0.36845466155810985,
"eval_loss": 1.7032861709594727,
"eval_runtime": 385.3173,
"eval_samples_per_second": 4.064,
"step": 300
},
{
"epoch": 0.44,
"learning_rate": 2.8747252747252748e-05,
"loss": 0.9152,
"step": 400
},
{
"epoch": 0.44,
"eval_accuracy": 0.388250319284802,
"eval_loss": 1.7423878908157349,
"eval_runtime": 388.0594,
"eval_samples_per_second": 4.035,
"step": 400
},
{
"epoch": 0.55,
"learning_rate": 2.8417582417582416e-05,
"loss": 0.732,
"step": 500
},
{
"epoch": 0.55,
"eval_accuracy": 0.4616858237547893,
"eval_loss": 1.5253428220748901,
"eval_runtime": 386.9842,
"eval_samples_per_second": 4.047,
"step": 500
},
{
"epoch": 0.66,
"learning_rate": 2.8087912087912088e-05,
"loss": 0.684,
"step": 600
},
{
"epoch": 0.66,
"eval_accuracy": 0.4367816091954023,
"eval_loss": 1.6441736221313477,
"eval_runtime": 388.1257,
"eval_samples_per_second": 4.035,
"step": 600
},
{
"epoch": 0.77,
"learning_rate": 2.775824175824176e-05,
"loss": 0.5538,
"step": 700
},
{
"epoch": 0.77,
"eval_accuracy": 0.5108556832694764,
"eval_loss": 1.450364351272583,
"eval_runtime": 389.4611,
"eval_samples_per_second": 4.021,
"step": 700
},
{
"epoch": 0.88,
"learning_rate": 2.7428571428571428e-05,
"loss": 0.5425,
"step": 800
},
{
"epoch": 0.88,
"eval_accuracy": 0.49936143039591313,
"eval_loss": 1.4108269214630127,
"eval_runtime": 389.7612,
"eval_samples_per_second": 4.018,
"step": 800
},
{
"epoch": 0.99,
"learning_rate": 2.70989010989011e-05,
"loss": 0.514,
"step": 900
},
{
"epoch": 0.99,
"eval_accuracy": 0.5057471264367817,
"eval_loss": 1.4206087589263916,
"eval_runtime": 396.4756,
"eval_samples_per_second": 3.95,
"step": 900
},
{
"epoch": 1.1,
"learning_rate": 2.6769230769230772e-05,
"loss": 0.3068,
"step": 1000
},
{
"epoch": 1.1,
"eval_accuracy": 0.5159642401021711,
"eval_loss": 1.6294729709625244,
"eval_runtime": 394.6782,
"eval_samples_per_second": 3.968,
"step": 1000
},
{
"epoch": 1.21,
"learning_rate": 2.643956043956044e-05,
"loss": 0.2865,
"step": 1100
},
{
"epoch": 1.21,
"eval_accuracy": 0.5076628352490421,
"eval_loss": 1.733625888824463,
"eval_runtime": 393.6145,
"eval_samples_per_second": 3.979,
"step": 1100
},
{
"epoch": 1.32,
"learning_rate": 2.6109890109890112e-05,
"loss": 0.301,
"step": 1200
},
{
"epoch": 1.32,
"eval_accuracy": 0.6277139208173691,
"eval_loss": 1.2089332342147827,
"eval_runtime": 389.8374,
"eval_samples_per_second": 4.017,
"step": 1200
},
{
"epoch": 1.43,
"learning_rate": 2.578021978021978e-05,
"loss": 0.2517,
"step": 1300
},
{
"epoch": 1.43,
"eval_accuracy": 0.5983397190293742,
"eval_loss": 1.3427765369415283,
"eval_runtime": 388.9975,
"eval_samples_per_second": 4.026,
"step": 1300
},
{
"epoch": 1.54,
"learning_rate": 2.545054945054945e-05,
"loss": 0.2819,
"step": 1400
},
{
"epoch": 1.54,
"eval_accuracy": 0.5600255427841635,
"eval_loss": 1.5083413124084473,
"eval_runtime": 390.3746,
"eval_samples_per_second": 4.012,
"step": 1400
},
{
"epoch": 1.64,
"learning_rate": 2.512087912087912e-05,
"loss": 0.2706,
"step": 1500
},
{
"epoch": 1.64,
"eval_accuracy": 0.6047254150702427,
"eval_loss": 1.5413047075271606,
"eval_runtime": 389.1952,
"eval_samples_per_second": 4.024,
"step": 1500
},
{
"epoch": 1.75,
"learning_rate": 2.479120879120879e-05,
"loss": 0.1991,
"step": 1600
},
{
"epoch": 1.75,
"eval_accuracy": 0.598978288633461,
"eval_loss": 1.5572402477264404,
"eval_runtime": 389.1243,
"eval_samples_per_second": 4.024,
"step": 1600
},
{
"epoch": 1.86,
"learning_rate": 2.446153846153846e-05,
"loss": 0.2726,
"step": 1700
},
{
"epoch": 1.86,
"eval_accuracy": 0.6021711366538953,
"eval_loss": 1.4013671875,
"eval_runtime": 392.7301,
"eval_samples_per_second": 3.987,
"step": 1700
},
{
"epoch": 1.97,
"learning_rate": 2.4131868131868133e-05,
"loss": 0.2015,
"step": 1800
},
{
"epoch": 1.97,
"eval_accuracy": 0.5676883780332056,
"eval_loss": 2.248255729675293,
"eval_runtime": 389.7999,
"eval_samples_per_second": 4.017,
"step": 1800
},
{
"epoch": 2.08,
"learning_rate": 2.38021978021978e-05,
"loss": 0.173,
"step": 1900
},
{
"epoch": 2.08,
"eval_accuracy": 0.644316730523627,
"eval_loss": 1.5393086671829224,
"eval_runtime": 390.3149,
"eval_samples_per_second": 4.012,
"step": 1900
},
{
"epoch": 2.19,
"learning_rate": 2.3472527472527474e-05,
"loss": 0.1177,
"step": 2000
},
{
"epoch": 2.19,
"eval_accuracy": 0.6028097062579821,
"eval_loss": 1.9018601179122925,
"eval_runtime": 390.5708,
"eval_samples_per_second": 4.01,
"step": 2000
},
{
"epoch": 2.3,
"learning_rate": 2.3142857142857145e-05,
"loss": 0.0907,
"step": 2100
},
{
"epoch": 2.3,
"eval_accuracy": 0.6194125159642401,
"eval_loss": 1.8655920028686523,
"eval_runtime": 392.1244,
"eval_samples_per_second": 3.994,
"step": 2100
},
{
"epoch": 2.41,
"learning_rate": 2.2813186813186814e-05,
"loss": 0.1878,
"step": 2200
},
{
"epoch": 2.41,
"eval_accuracy": 0.6296296296296297,
"eval_loss": 1.998379111289978,
"eval_runtime": 390.0846,
"eval_samples_per_second": 4.015,
"step": 2200
}
],
"max_steps": 9120,
"num_train_epochs": 10,
"total_flos": 2.137068831744e+19,
"trial_name": null,
"trial_params": null
}