adapters-llama2-bf16-QLORA-super_glue-wsc / trainer_state-llama2-bf16-QLORA-super_glue-wsc-sequence_classification.json
RMHalak's picture
Task: SequenceClassification
486dfba verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 10.0,
"eval_steps": 1,
"global_step": 70,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.14285714285714285,
"grad_norm": 4.84375,
"learning_rate": 2.5e-05,
"loss": 0.7521,
"step": 1
},
{
"epoch": 0.14285714285714285,
"eval_accuracy": 0.4772727272727273,
"eval_loss": 0.7755075097084045,
"eval_runtime": 1.5538,
"eval_samples_per_second": 84.955,
"eval_steps_per_second": 2.574,
"step": 1
},
{
"epoch": 0.2857142857142857,
"grad_norm": 4.5,
"learning_rate": 5e-05,
"loss": 0.7634,
"step": 2
},
{
"epoch": 0.2857142857142857,
"eval_accuracy": 0.44696969696969696,
"eval_loss": 0.780468761920929,
"eval_runtime": 1.5472,
"eval_samples_per_second": 85.314,
"eval_steps_per_second": 2.585,
"step": 2
},
{
"epoch": 0.42857142857142855,
"grad_norm": 8.5,
"learning_rate": 4.9264705882352944e-05,
"loss": 0.7984,
"step": 3
},
{
"epoch": 0.42857142857142855,
"eval_accuracy": 0.49242424242424243,
"eval_loss": 0.7474180459976196,
"eval_runtime": 1.5385,
"eval_samples_per_second": 85.797,
"eval_steps_per_second": 2.6,
"step": 3
},
{
"epoch": 0.5714285714285714,
"grad_norm": 2.03125,
"learning_rate": 4.8529411764705885e-05,
"loss": 0.693,
"step": 4
},
{
"epoch": 0.5714285714285714,
"eval_accuracy": 0.5606060606060606,
"eval_loss": 0.7217329740524292,
"eval_runtime": 1.5493,
"eval_samples_per_second": 85.202,
"eval_steps_per_second": 2.582,
"step": 4
},
{
"epoch": 0.7142857142857143,
"grad_norm": 29.75,
"learning_rate": 4.7794117647058826e-05,
"loss": 0.7846,
"step": 5
},
{
"epoch": 0.7142857142857143,
"eval_accuracy": 0.5606060606060606,
"eval_loss": 0.7153113484382629,
"eval_runtime": 1.5441,
"eval_samples_per_second": 85.484,
"eval_steps_per_second": 2.59,
"step": 5
},
{
"epoch": 0.8571428571428571,
"grad_norm": 17.625,
"learning_rate": 4.705882352941177e-05,
"loss": 0.7596,
"step": 6
},
{
"epoch": 0.8571428571428571,
"eval_accuracy": 0.5757575757575758,
"eval_loss": 0.7194039821624756,
"eval_runtime": 1.5001,
"eval_samples_per_second": 87.995,
"eval_steps_per_second": 2.667,
"step": 6
},
{
"epoch": 1.0,
"grad_norm": 21.375,
"learning_rate": 4.632352941176471e-05,
"loss": 0.7446,
"step": 7
},
{
"epoch": 1.0,
"eval_accuracy": 0.4393939393939394,
"eval_loss": 0.7496892809867859,
"eval_runtime": 1.5456,
"eval_samples_per_second": 85.405,
"eval_steps_per_second": 2.588,
"step": 7
},
{
"epoch": 1.1428571428571428,
"grad_norm": 23.25,
"learning_rate": 4.558823529411765e-05,
"loss": 0.7586,
"step": 8
},
{
"epoch": 1.1428571428571428,
"eval_accuracy": 0.3484848484848485,
"eval_loss": 0.8451675176620483,
"eval_runtime": 1.5464,
"eval_samples_per_second": 85.362,
"eval_steps_per_second": 2.587,
"step": 8
},
{
"epoch": 1.2857142857142856,
"grad_norm": 15.8125,
"learning_rate": 4.485294117647059e-05,
"loss": 0.7477,
"step": 9
},
{
"epoch": 1.2857142857142856,
"eval_accuracy": 0.38636363636363635,
"eval_loss": 0.8977465033531189,
"eval_runtime": 1.4985,
"eval_samples_per_second": 88.087,
"eval_steps_per_second": 2.669,
"step": 9
},
{
"epoch": 1.4285714285714286,
"grad_norm": 37.5,
"learning_rate": 4.411764705882353e-05,
"loss": 0.7741,
"step": 10
},
{
"epoch": 1.4285714285714286,
"eval_accuracy": 0.38636363636363635,
"eval_loss": 0.9048103094100952,
"eval_runtime": 1.4975,
"eval_samples_per_second": 88.149,
"eval_steps_per_second": 2.671,
"step": 10
},
{
"epoch": 1.5714285714285714,
"grad_norm": 42.75,
"learning_rate": 4.3382352941176474e-05,
"loss": 0.8717,
"step": 11
},
{
"epoch": 1.5714285714285714,
"eval_accuracy": 0.3712121212121212,
"eval_loss": 0.8705492615699768,
"eval_runtime": 1.4992,
"eval_samples_per_second": 88.05,
"eval_steps_per_second": 2.668,
"step": 11
},
{
"epoch": 1.7142857142857144,
"grad_norm": 31.375,
"learning_rate": 4.2647058823529415e-05,
"loss": 0.7632,
"step": 12
},
{
"epoch": 1.7142857142857144,
"eval_accuracy": 0.3484848484848485,
"eval_loss": 0.8101148009300232,
"eval_runtime": 1.5025,
"eval_samples_per_second": 87.855,
"eval_steps_per_second": 2.662,
"step": 12
},
{
"epoch": 1.8571428571428572,
"grad_norm": 25.375,
"learning_rate": 4.1911764705882356e-05,
"loss": 0.7274,
"step": 13
},
{
"epoch": 1.8571428571428572,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 0.7472152709960938,
"eval_runtime": 1.5592,
"eval_samples_per_second": 84.66,
"eval_steps_per_second": 2.565,
"step": 13
},
{
"epoch": 2.0,
"grad_norm": 2.28125,
"learning_rate": 4.11764705882353e-05,
"loss": 0.7485,
"step": 14
},
{
"epoch": 2.0,
"eval_accuracy": 0.5227272727272727,
"eval_loss": 0.7126479744911194,
"eval_runtime": 1.5453,
"eval_samples_per_second": 85.419,
"eval_steps_per_second": 2.588,
"step": 14
},
{
"epoch": 2.142857142857143,
"grad_norm": 4.21875,
"learning_rate": 4.044117647058824e-05,
"loss": 0.7405,
"step": 15
},
{
"epoch": 2.142857142857143,
"eval_accuracy": 0.6060606060606061,
"eval_loss": 0.6938949227333069,
"eval_runtime": 1.4934,
"eval_samples_per_second": 88.387,
"eval_steps_per_second": 2.678,
"step": 15
},
{
"epoch": 2.2857142857142856,
"grad_norm": 9.25,
"learning_rate": 3.970588235294117e-05,
"loss": 0.6494,
"step": 16
},
{
"epoch": 2.2857142857142856,
"eval_accuracy": 0.6060606060606061,
"eval_loss": 0.6936286687850952,
"eval_runtime": 1.4983,
"eval_samples_per_second": 88.098,
"eval_steps_per_second": 2.67,
"step": 16
},
{
"epoch": 2.4285714285714284,
"grad_norm": 41.75,
"learning_rate": 3.897058823529412e-05,
"loss": 0.8244,
"step": 17
},
{
"epoch": 2.4285714285714284,
"eval_accuracy": 0.6136363636363636,
"eval_loss": 0.6947872042655945,
"eval_runtime": 1.621,
"eval_samples_per_second": 81.432,
"eval_steps_per_second": 2.468,
"step": 17
},
{
"epoch": 2.571428571428571,
"grad_norm": 35.75,
"learning_rate": 3.8235294117647055e-05,
"loss": 0.8132,
"step": 18
},
{
"epoch": 2.571428571428571,
"eval_accuracy": 0.6136363636363636,
"eval_loss": 0.693770706653595,
"eval_runtime": 1.549,
"eval_samples_per_second": 85.214,
"eval_steps_per_second": 2.582,
"step": 18
},
{
"epoch": 2.7142857142857144,
"grad_norm": 13.25,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.6802,
"step": 19
},
{
"epoch": 2.7142857142857144,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 0.6894235610961914,
"eval_runtime": 1.5446,
"eval_samples_per_second": 85.458,
"eval_steps_per_second": 2.59,
"step": 19
},
{
"epoch": 2.857142857142857,
"grad_norm": 22.0,
"learning_rate": 3.6764705882352945e-05,
"loss": 0.7468,
"step": 20
},
{
"epoch": 2.857142857142857,
"eval_accuracy": 0.5909090909090909,
"eval_loss": 0.6930723190307617,
"eval_runtime": 1.5465,
"eval_samples_per_second": 85.352,
"eval_steps_per_second": 2.586,
"step": 20
},
{
"epoch": 3.0,
"grad_norm": 16.875,
"learning_rate": 3.6029411764705886e-05,
"loss": 0.7489,
"step": 21
},
{
"epoch": 3.0,
"eval_accuracy": 0.5151515151515151,
"eval_loss": 0.7048709988594055,
"eval_runtime": 1.5504,
"eval_samples_per_second": 85.14,
"eval_steps_per_second": 2.58,
"step": 21
},
{
"epoch": 3.142857142857143,
"grad_norm": 1.578125,
"learning_rate": 3.529411764705883e-05,
"loss": 0.7081,
"step": 22
},
{
"epoch": 3.142857142857143,
"eval_accuracy": 0.4696969696969697,
"eval_loss": 0.7239050269126892,
"eval_runtime": 1.5375,
"eval_samples_per_second": 85.853,
"eval_steps_per_second": 2.602,
"step": 22
},
{
"epoch": 3.2857142857142856,
"grad_norm": 3.46875,
"learning_rate": 3.455882352941177e-05,
"loss": 0.7186,
"step": 23
},
{
"epoch": 3.2857142857142856,
"eval_accuracy": 0.4318181818181818,
"eval_loss": 0.7504349946975708,
"eval_runtime": 1.5395,
"eval_samples_per_second": 85.744,
"eval_steps_per_second": 2.598,
"step": 23
},
{
"epoch": 3.4285714285714284,
"grad_norm": 15.9375,
"learning_rate": 3.382352941176471e-05,
"loss": 0.7119,
"step": 24
},
{
"epoch": 3.4285714285714284,
"eval_accuracy": 0.4090909090909091,
"eval_loss": 0.7637221813201904,
"eval_runtime": 1.4882,
"eval_samples_per_second": 88.699,
"eval_steps_per_second": 2.688,
"step": 24
},
{
"epoch": 3.571428571428571,
"grad_norm": 22.5,
"learning_rate": 3.308823529411765e-05,
"loss": 0.76,
"step": 25
},
{
"epoch": 3.571428571428571,
"eval_accuracy": 0.3939393939393939,
"eval_loss": 0.7662701606750488,
"eval_runtime": 1.5414,
"eval_samples_per_second": 85.634,
"eval_steps_per_second": 2.595,
"step": 25
},
{
"epoch": 3.7142857142857144,
"grad_norm": 5.34375,
"learning_rate": 3.235294117647059e-05,
"loss": 0.6997,
"step": 26
},
{
"epoch": 3.7142857142857144,
"eval_accuracy": 0.4015151515151515,
"eval_loss": 0.7559452056884766,
"eval_runtime": 1.4899,
"eval_samples_per_second": 88.598,
"eval_steps_per_second": 2.685,
"step": 26
},
{
"epoch": 3.857142857142857,
"grad_norm": 19.0,
"learning_rate": 3.161764705882353e-05,
"loss": 0.682,
"step": 27
},
{
"epoch": 3.857142857142857,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 0.7377100586891174,
"eval_runtime": 1.5417,
"eval_samples_per_second": 85.62,
"eval_steps_per_second": 2.595,
"step": 27
},
{
"epoch": 4.0,
"grad_norm": 16.875,
"learning_rate": 3.0882352941176475e-05,
"loss": 0.7146,
"step": 28
},
{
"epoch": 4.0,
"eval_accuracy": 0.4772727272727273,
"eval_loss": 0.7146986722946167,
"eval_runtime": 1.5411,
"eval_samples_per_second": 85.651,
"eval_steps_per_second": 2.595,
"step": 28
},
{
"epoch": 4.142857142857143,
"grad_norm": 9.3125,
"learning_rate": 3.0147058823529413e-05,
"loss": 0.6812,
"step": 29
},
{
"epoch": 4.142857142857143,
"eval_accuracy": 0.5984848484848485,
"eval_loss": 0.6949219107627869,
"eval_runtime": 1.5427,
"eval_samples_per_second": 85.566,
"eval_steps_per_second": 2.593,
"step": 29
},
{
"epoch": 4.285714285714286,
"grad_norm": 9.6875,
"learning_rate": 2.9411764705882354e-05,
"loss": 0.6863,
"step": 30
},
{
"epoch": 4.285714285714286,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 0.6819572448730469,
"eval_runtime": 1.5428,
"eval_samples_per_second": 85.56,
"eval_steps_per_second": 2.593,
"step": 30
},
{
"epoch": 4.428571428571429,
"grad_norm": 19.375,
"learning_rate": 2.8676470588235295e-05,
"loss": 0.7525,
"step": 31
},
{
"epoch": 4.428571428571429,
"eval_accuracy": 0.6136363636363636,
"eval_loss": 0.6823641657829285,
"eval_runtime": 1.542,
"eval_samples_per_second": 85.606,
"eval_steps_per_second": 2.594,
"step": 31
},
{
"epoch": 4.571428571428571,
"grad_norm": 19.75,
"learning_rate": 2.7941176470588236e-05,
"loss": 0.7368,
"step": 32
},
{
"epoch": 4.571428571428571,
"eval_accuracy": 0.6136363636363636,
"eval_loss": 0.6805161237716675,
"eval_runtime": 1.5383,
"eval_samples_per_second": 85.811,
"eval_steps_per_second": 2.6,
"step": 32
},
{
"epoch": 4.714285714285714,
"grad_norm": 22.375,
"learning_rate": 2.7205882352941174e-05,
"loss": 0.7341,
"step": 33
},
{
"epoch": 4.714285714285714,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 0.678117573261261,
"eval_runtime": 1.5397,
"eval_samples_per_second": 85.729,
"eval_steps_per_second": 2.598,
"step": 33
},
{
"epoch": 4.857142857142857,
"grad_norm": 30.0,
"learning_rate": 2.647058823529412e-05,
"loss": 0.7484,
"step": 34
},
{
"epoch": 4.857142857142857,
"eval_accuracy": 0.6060606060606061,
"eval_loss": 0.6792346835136414,
"eval_runtime": 1.5404,
"eval_samples_per_second": 85.689,
"eval_steps_per_second": 2.597,
"step": 34
},
{
"epoch": 5.0,
"grad_norm": 12.8125,
"learning_rate": 2.5735294117647057e-05,
"loss": 0.6807,
"step": 35
},
{
"epoch": 5.0,
"eval_accuracy": 0.6060606060606061,
"eval_loss": 0.6793352961540222,
"eval_runtime": 1.5392,
"eval_samples_per_second": 85.758,
"eval_steps_per_second": 2.599,
"step": 35
},
{
"epoch": 5.142857142857143,
"grad_norm": 14.5,
"learning_rate": 2.5e-05,
"loss": 0.7071,
"step": 36
},
{
"epoch": 5.142857142857143,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 0.683883786201477,
"eval_runtime": 1.5387,
"eval_samples_per_second": 85.787,
"eval_steps_per_second": 2.6,
"step": 36
},
{
"epoch": 5.285714285714286,
"grad_norm": 19.875,
"learning_rate": 2.4264705882352942e-05,
"loss": 0.749,
"step": 37
},
{
"epoch": 5.285714285714286,
"eval_accuracy": 0.5681818181818182,
"eval_loss": 0.6915483474731445,
"eval_runtime": 1.5438,
"eval_samples_per_second": 85.504,
"eval_steps_per_second": 2.591,
"step": 37
},
{
"epoch": 5.428571428571429,
"grad_norm": 6.0,
"learning_rate": 2.3529411764705884e-05,
"loss": 0.6873,
"step": 38
},
{
"epoch": 5.428571428571429,
"eval_accuracy": 0.5151515151515151,
"eval_loss": 0.7027018070220947,
"eval_runtime": 1.5427,
"eval_samples_per_second": 85.565,
"eval_steps_per_second": 2.593,
"step": 38
},
{
"epoch": 5.571428571428571,
"grad_norm": 2.484375,
"learning_rate": 2.2794117647058825e-05,
"loss": 0.6637,
"step": 39
},
{
"epoch": 5.571428571428571,
"eval_accuracy": 0.45454545454545453,
"eval_loss": 0.7172613739967346,
"eval_runtime": 1.5421,
"eval_samples_per_second": 85.598,
"eval_steps_per_second": 2.594,
"step": 39
},
{
"epoch": 5.714285714285714,
"grad_norm": 7.21875,
"learning_rate": 2.2058823529411766e-05,
"loss": 0.7068,
"step": 40
},
{
"epoch": 5.714285714285714,
"eval_accuracy": 0.42424242424242425,
"eval_loss": 0.7289565205574036,
"eval_runtime": 1.54,
"eval_samples_per_second": 85.717,
"eval_steps_per_second": 2.597,
"step": 40
},
{
"epoch": 5.857142857142857,
"grad_norm": 11.5625,
"learning_rate": 2.1323529411764707e-05,
"loss": 0.6884,
"step": 41
},
{
"epoch": 5.857142857142857,
"eval_accuracy": 0.4166666666666667,
"eval_loss": 0.7307764887809753,
"eval_runtime": 1.4931,
"eval_samples_per_second": 88.406,
"eval_steps_per_second": 2.679,
"step": 41
},
{
"epoch": 6.0,
"grad_norm": 15.9375,
"learning_rate": 2.058823529411765e-05,
"loss": 0.7043,
"step": 42
},
{
"epoch": 6.0,
"eval_accuracy": 0.4318181818181818,
"eval_loss": 0.7282403707504272,
"eval_runtime": 1.541,
"eval_samples_per_second": 85.658,
"eval_steps_per_second": 2.596,
"step": 42
},
{
"epoch": 6.142857142857143,
"grad_norm": 16.375,
"learning_rate": 1.9852941176470586e-05,
"loss": 0.7056,
"step": 43
},
{
"epoch": 6.142857142857143,
"eval_accuracy": 0.4318181818181818,
"eval_loss": 0.7240825891494751,
"eval_runtime": 1.5424,
"eval_samples_per_second": 85.58,
"eval_steps_per_second": 2.593,
"step": 43
},
{
"epoch": 6.285714285714286,
"grad_norm": 3.203125,
"learning_rate": 1.9117647058823528e-05,
"loss": 0.6781,
"step": 44
},
{
"epoch": 6.285714285714286,
"eval_accuracy": 0.44696969696969696,
"eval_loss": 0.7201615571975708,
"eval_runtime": 1.543,
"eval_samples_per_second": 85.55,
"eval_steps_per_second": 2.592,
"step": 44
},
{
"epoch": 6.428571428571429,
"grad_norm": 6.59375,
"learning_rate": 1.8382352941176472e-05,
"loss": 0.6747,
"step": 45
},
{
"epoch": 6.428571428571429,
"eval_accuracy": 0.5075757575757576,
"eval_loss": 0.7129350304603577,
"eval_runtime": 1.541,
"eval_samples_per_second": 85.659,
"eval_steps_per_second": 2.596,
"step": 45
},
{
"epoch": 6.571428571428571,
"grad_norm": 15.125,
"learning_rate": 1.7647058823529414e-05,
"loss": 0.7016,
"step": 46
},
{
"epoch": 6.571428571428571,
"eval_accuracy": 0.5227272727272727,
"eval_loss": 0.7054362297058105,
"eval_runtime": 1.5441,
"eval_samples_per_second": 85.488,
"eval_steps_per_second": 2.591,
"step": 46
},
{
"epoch": 6.714285714285714,
"grad_norm": 14.0625,
"learning_rate": 1.6911764705882355e-05,
"loss": 0.6824,
"step": 47
},
{
"epoch": 6.714285714285714,
"eval_accuracy": 0.5227272727272727,
"eval_loss": 0.7024768590927124,
"eval_runtime": 1.5404,
"eval_samples_per_second": 85.69,
"eval_steps_per_second": 2.597,
"step": 47
},
{
"epoch": 6.857142857142857,
"grad_norm": 8.625,
"learning_rate": 1.6176470588235296e-05,
"loss": 0.6925,
"step": 48
},
{
"epoch": 6.857142857142857,
"eval_accuracy": 0.5681818181818182,
"eval_loss": 0.6972271203994751,
"eval_runtime": 1.5424,
"eval_samples_per_second": 85.581,
"eval_steps_per_second": 2.593,
"step": 48
},
{
"epoch": 7.0,
"grad_norm": 4.78125,
"learning_rate": 1.5441176470588237e-05,
"loss": 0.7089,
"step": 49
},
{
"epoch": 7.0,
"eval_accuracy": 0.5909090909090909,
"eval_loss": 0.6955847144126892,
"eval_runtime": 1.5433,
"eval_samples_per_second": 85.533,
"eval_steps_per_second": 2.592,
"step": 49
},
{
"epoch": 7.142857142857143,
"grad_norm": 11.125,
"learning_rate": 1.4705882352941177e-05,
"loss": 0.6984,
"step": 50
},
{
"epoch": 7.142857142857143,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.6915394067764282,
"eval_runtime": 1.5436,
"eval_samples_per_second": 85.513,
"eval_steps_per_second": 2.591,
"step": 50
},
{
"epoch": 7.285714285714286,
"grad_norm": 5.8125,
"learning_rate": 1.3970588235294118e-05,
"loss": 0.6837,
"step": 51
},
{
"epoch": 7.285714285714286,
"eval_accuracy": 0.5984848484848485,
"eval_loss": 0.6907078623771667,
"eval_runtime": 1.5416,
"eval_samples_per_second": 85.628,
"eval_steps_per_second": 2.595,
"step": 51
},
{
"epoch": 7.428571428571429,
"grad_norm": 11.0,
"learning_rate": 1.323529411764706e-05,
"loss": 0.6988,
"step": 52
},
{
"epoch": 7.428571428571429,
"eval_accuracy": 0.5984848484848485,
"eval_loss": 0.6940903067588806,
"eval_runtime": 1.5431,
"eval_samples_per_second": 85.541,
"eval_steps_per_second": 2.592,
"step": 52
},
{
"epoch": 7.571428571428571,
"grad_norm": 9.375,
"learning_rate": 1.25e-05,
"loss": 0.6552,
"step": 53
},
{
"epoch": 7.571428571428571,
"eval_accuracy": 0.6136363636363636,
"eval_loss": 0.6946229934692383,
"eval_runtime": 1.5448,
"eval_samples_per_second": 85.448,
"eval_steps_per_second": 2.589,
"step": 53
},
{
"epoch": 7.714285714285714,
"grad_norm": 5.5625,
"learning_rate": 1.1764705882352942e-05,
"loss": 0.6895,
"step": 54
},
{
"epoch": 7.714285714285714,
"eval_accuracy": 0.5909090909090909,
"eval_loss": 0.6917613744735718,
"eval_runtime": 1.5421,
"eval_samples_per_second": 85.596,
"eval_steps_per_second": 2.594,
"step": 54
},
{
"epoch": 7.857142857142857,
"grad_norm": 9.875,
"learning_rate": 1.1029411764705883e-05,
"loss": 0.7006,
"step": 55
},
{
"epoch": 7.857142857142857,
"eval_accuracy": 0.6060606060606061,
"eval_loss": 0.6935369372367859,
"eval_runtime": 1.5407,
"eval_samples_per_second": 85.674,
"eval_steps_per_second": 2.596,
"step": 55
},
{
"epoch": 8.0,
"grad_norm": 11.5,
"learning_rate": 1.0294117647058824e-05,
"loss": 0.726,
"step": 56
},
{
"epoch": 8.0,
"eval_accuracy": 0.6060606060606061,
"eval_loss": 0.694398045539856,
"eval_runtime": 1.5405,
"eval_samples_per_second": 85.685,
"eval_steps_per_second": 2.597,
"step": 56
},
{
"epoch": 8.142857142857142,
"grad_norm": 9.0,
"learning_rate": 9.558823529411764e-06,
"loss": 0.7174,
"step": 57
},
{
"epoch": 8.142857142857142,
"eval_accuracy": 0.5757575757575758,
"eval_loss": 0.69677734375,
"eval_runtime": 1.5413,
"eval_samples_per_second": 85.64,
"eval_steps_per_second": 2.595,
"step": 57
},
{
"epoch": 8.285714285714286,
"grad_norm": 4.59375,
"learning_rate": 8.823529411764707e-06,
"loss": 0.66,
"step": 58
},
{
"epoch": 8.285714285714286,
"eval_accuracy": 0.5757575757575758,
"eval_loss": 0.6959073543548584,
"eval_runtime": 1.5403,
"eval_samples_per_second": 85.697,
"eval_steps_per_second": 2.597,
"step": 58
},
{
"epoch": 8.428571428571429,
"grad_norm": 5.125,
"learning_rate": 8.088235294117648e-06,
"loss": 0.6728,
"step": 59
},
{
"epoch": 8.428571428571429,
"eval_accuracy": 0.553030303030303,
"eval_loss": 0.6988636255264282,
"eval_runtime": 1.5407,
"eval_samples_per_second": 85.675,
"eval_steps_per_second": 2.596,
"step": 59
},
{
"epoch": 8.571428571428571,
"grad_norm": 5.40625,
"learning_rate": 7.3529411764705884e-06,
"loss": 0.6641,
"step": 60
},
{
"epoch": 8.571428571428571,
"eval_accuracy": 0.5454545454545454,
"eval_loss": 0.6989879012107849,
"eval_runtime": 1.5379,
"eval_samples_per_second": 85.831,
"eval_steps_per_second": 2.601,
"step": 60
},
{
"epoch": 8.714285714285714,
"grad_norm": 15.8125,
"learning_rate": 6.61764705882353e-06,
"loss": 0.7048,
"step": 61
},
{
"epoch": 8.714285714285714,
"eval_accuracy": 0.553030303030303,
"eval_loss": 0.6997276544570923,
"eval_runtime": 1.5397,
"eval_samples_per_second": 85.73,
"eval_steps_per_second": 2.598,
"step": 61
},
{
"epoch": 8.857142857142858,
"grad_norm": 17.375,
"learning_rate": 5.882352941176471e-06,
"loss": 0.71,
"step": 62
},
{
"epoch": 8.857142857142858,
"eval_accuracy": 0.5757575757575758,
"eval_loss": 0.6996092796325684,
"eval_runtime": 1.5434,
"eval_samples_per_second": 85.525,
"eval_steps_per_second": 2.592,
"step": 62
},
{
"epoch": 9.0,
"grad_norm": 21.125,
"learning_rate": 5.147058823529412e-06,
"loss": 0.7085,
"step": 63
},
{
"epoch": 9.0,
"eval_accuracy": 0.553030303030303,
"eval_loss": 0.7001480460166931,
"eval_runtime": 1.5439,
"eval_samples_per_second": 85.499,
"eval_steps_per_second": 2.591,
"step": 63
},
{
"epoch": 9.142857142857142,
"grad_norm": 13.625,
"learning_rate": 4.411764705882353e-06,
"loss": 0.6871,
"step": 64
},
{
"epoch": 9.142857142857142,
"eval_accuracy": 0.5151515151515151,
"eval_loss": 0.7034357190132141,
"eval_runtime": 1.5419,
"eval_samples_per_second": 85.609,
"eval_steps_per_second": 2.594,
"step": 64
},
{
"epoch": 9.285714285714286,
"grad_norm": 8.6875,
"learning_rate": 3.6764705882352942e-06,
"loss": 0.7011,
"step": 65
},
{
"epoch": 9.285714285714286,
"eval_accuracy": 0.5378787878787878,
"eval_loss": 0.702935516834259,
"eval_runtime": 1.5408,
"eval_samples_per_second": 85.67,
"eval_steps_per_second": 2.596,
"step": 65
},
{
"epoch": 9.428571428571429,
"grad_norm": 1.546875,
"learning_rate": 2.9411764705882355e-06,
"loss": 0.6376,
"step": 66
},
{
"epoch": 9.428571428571429,
"eval_accuracy": 0.5303030303030303,
"eval_loss": 0.7021484375,
"eval_runtime": 1.5437,
"eval_samples_per_second": 85.509,
"eval_steps_per_second": 2.591,
"step": 66
},
{
"epoch": 9.571428571428571,
"grad_norm": 4.0,
"learning_rate": 2.2058823529411767e-06,
"loss": 0.6903,
"step": 67
},
{
"epoch": 9.571428571428571,
"eval_accuracy": 0.5378787878787878,
"eval_loss": 0.7026574015617371,
"eval_runtime": 1.5418,
"eval_samples_per_second": 85.612,
"eval_steps_per_second": 2.594,
"step": 67
},
{
"epoch": 9.714285714285714,
"grad_norm": 8.1875,
"learning_rate": 1.4705882352941177e-06,
"loss": 0.6794,
"step": 68
},
{
"epoch": 9.714285714285714,
"eval_accuracy": 0.5454545454545454,
"eval_loss": 0.7024709582328796,
"eval_runtime": 1.5407,
"eval_samples_per_second": 85.675,
"eval_steps_per_second": 2.596,
"step": 68
},
{
"epoch": 9.857142857142858,
"grad_norm": 6.15625,
"learning_rate": 7.352941176470589e-07,
"loss": 0.6925,
"step": 69
},
{
"epoch": 9.857142857142858,
"eval_accuracy": 0.5227272727272727,
"eval_loss": 0.702207624912262,
"eval_runtime": 1.6313,
"eval_samples_per_second": 80.919,
"eval_steps_per_second": 2.452,
"step": 69
},
{
"epoch": 10.0,
"grad_norm": 11.375,
"learning_rate": 0.0,
"loss": 0.6948,
"step": 70
},
{
"epoch": 10.0,
"eval_accuracy": 0.5378787878787878,
"eval_loss": 0.7023614645004272,
"eval_runtime": 1.6551,
"eval_samples_per_second": 79.753,
"eval_steps_per_second": 2.417,
"step": 70
},
{
"epoch": 10.0,
"step": 70,
"total_flos": 2.236538086961971e+16,
"train_loss": 0.7161136295114244,
"train_runtime": 300.8345,
"train_samples_per_second": 17.485,
"train_steps_per_second": 0.233
}
],
"logging_steps": 1,
"max_steps": 70,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": false,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 2.236538086961971e+16,
"train_batch_size": 10,
"trial_name": null,
"trial_params": null
}