m3hrdadfi's picture
Initial model
810ce8b
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 7.0,
"global_step": 15596,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.22,
"learning_rate": 1e-05,
"loss": 2.9595,
"step": 500
},
{
"epoch": 0.45,
"learning_rate": 1.9980000000000002e-05,
"loss": 2.8349,
"step": 1000
},
{
"epoch": 0.67,
"learning_rate": 2.9959999999999998e-05,
"loss": 2.5062,
"step": 1500
},
{
"epoch": 0.67,
"eval_accuracy": 0.24551166594028473,
"eval_loss": 2.527085304260254,
"eval_runtime": 249.1452,
"eval_samples_per_second": 8.943,
"eval_steps_per_second": 4.471,
"step": 1500
},
{
"epoch": 0.9,
"learning_rate": 3.9960000000000004e-05,
"loss": 2.325,
"step": 2000
},
{
"epoch": 0.9,
"eval_accuracy": 0.2921903133392334,
"eval_loss": 2.155109405517578,
"eval_runtime": 248.6187,
"eval_samples_per_second": 8.962,
"eval_steps_per_second": 4.481,
"step": 2000
},
{
"epoch": 1.12,
"learning_rate": 4.996e-05,
"loss": 2.0841,
"step": 2500
},
{
"epoch": 1.12,
"eval_accuracy": 0.37836626172065735,
"eval_loss": 1.9377281665802002,
"eval_runtime": 248.5683,
"eval_samples_per_second": 8.963,
"eval_steps_per_second": 4.482,
"step": 2500
},
{
"epoch": 1.35,
"learning_rate": 5.9940000000000005e-05,
"loss": 1.8918,
"step": 3000
},
{
"epoch": 1.35,
"eval_accuracy": 0.44120287895202637,
"eval_loss": 1.7982349395751953,
"eval_runtime": 248.5588,
"eval_samples_per_second": 8.964,
"eval_steps_per_second": 4.482,
"step": 3000
},
{
"epoch": 1.57,
"learning_rate": 6.994000000000001e-05,
"loss": 1.7864,
"step": 3500
},
{
"epoch": 1.57,
"eval_accuracy": 0.4039497375488281,
"eval_loss": 1.8799262046813965,
"eval_runtime": 248.6043,
"eval_samples_per_second": 8.962,
"eval_steps_per_second": 4.481,
"step": 3500
},
{
"epoch": 1.8,
"learning_rate": 7.994000000000001e-05,
"loss": 1.6033,
"step": 4000
},
{
"epoch": 1.8,
"eval_accuracy": 0.4923698306083679,
"eval_loss": 1.6540141105651855,
"eval_runtime": 248.311,
"eval_samples_per_second": 8.973,
"eval_steps_per_second": 4.486,
"step": 4000
},
{
"epoch": 2.02,
"learning_rate": 8.994e-05,
"loss": 1.4896,
"step": 4500
},
{
"epoch": 2.02,
"eval_accuracy": 0.4865350127220154,
"eval_loss": 1.8671057224273682,
"eval_runtime": 248.1758,
"eval_samples_per_second": 8.978,
"eval_steps_per_second": 4.489,
"step": 4500
},
{
"epoch": 2.24,
"learning_rate": 9.992e-05,
"loss": 1.4354,
"step": 5000
},
{
"epoch": 2.24,
"eval_accuracy": 0.6077199578285217,
"eval_loss": 1.2887369394302368,
"eval_runtime": 285.3825,
"eval_samples_per_second": 7.807,
"eval_steps_per_second": 3.904,
"step": 5000
},
{
"epoch": 2.47,
"learning_rate": 9.531898829747074e-05,
"loss": 1.2833,
"step": 5500
},
{
"epoch": 2.47,
"eval_accuracy": 0.5520646572113037,
"eval_loss": 1.6005043983459473,
"eval_runtime": 244.6199,
"eval_samples_per_second": 9.108,
"eval_steps_per_second": 4.554,
"step": 5500
},
{
"epoch": 2.69,
"learning_rate": 9.060022650056625e-05,
"loss": 1.2117,
"step": 6000
},
{
"epoch": 2.69,
"eval_accuracy": 0.6261220574378967,
"eval_loss": 1.3362298011779785,
"eval_runtime": 243.551,
"eval_samples_per_second": 9.148,
"eval_steps_per_second": 4.574,
"step": 6000
},
{
"epoch": 2.92,
"learning_rate": 8.588146470366177e-05,
"loss": 1.1316,
"step": 6500
},
{
"epoch": 2.92,
"eval_accuracy": 0.6337522268295288,
"eval_loss": 1.2837433815002441,
"eval_runtime": 243.5454,
"eval_samples_per_second": 9.148,
"eval_steps_per_second": 4.574,
"step": 6500
},
{
"epoch": 3.14,
"learning_rate": 8.116270290675727e-05,
"loss": 1.0295,
"step": 7000
},
{
"epoch": 3.14,
"eval_accuracy": 0.7369838356971741,
"eval_loss": 0.9227874875068665,
"eval_runtime": 245.7687,
"eval_samples_per_second": 9.065,
"eval_steps_per_second": 4.533,
"step": 7000
},
{
"epoch": 3.37,
"learning_rate": 7.646281615704039e-05,
"loss": 0.9247,
"step": 7500
},
{
"epoch": 3.37,
"eval_accuracy": 0.71499103307724,
"eval_loss": 1.092219352722168,
"eval_runtime": 245.4882,
"eval_samples_per_second": 9.076,
"eval_steps_per_second": 4.538,
"step": 7500
},
{
"epoch": 3.59,
"learning_rate": 7.174405436013591e-05,
"loss": 0.89,
"step": 8000
},
{
"epoch": 3.59,
"eval_accuracy": 0.708707332611084,
"eval_loss": 1.2390897274017334,
"eval_runtime": 245.0893,
"eval_samples_per_second": 9.091,
"eval_steps_per_second": 4.545,
"step": 8000
},
{
"epoch": 3.82,
"learning_rate": 6.702529256323142e-05,
"loss": 0.8384,
"step": 8500
},
{
"epoch": 3.82,
"eval_accuracy": 0.8002693057060242,
"eval_loss": 0.8005222082138062,
"eval_runtime": 245.3523,
"eval_samples_per_second": 9.081,
"eval_steps_per_second": 4.54,
"step": 8500
},
{
"epoch": 4.04,
"learning_rate": 6.230653076632692e-05,
"loss": 0.7628,
"step": 9000
},
{
"epoch": 4.04,
"eval_accuracy": 0.7881507873535156,
"eval_loss": 0.8995262980461121,
"eval_runtime": 245.5663,
"eval_samples_per_second": 9.073,
"eval_steps_per_second": 4.536,
"step": 9000
},
{
"epoch": 4.26,
"learning_rate": 5.758776896942243e-05,
"loss": 0.6186,
"step": 9500
},
{
"epoch": 4.26,
"eval_accuracy": 0.7675045132637024,
"eval_loss": 1.215416431427002,
"eval_runtime": 245.7222,
"eval_samples_per_second": 9.067,
"eval_steps_per_second": 4.534,
"step": 9500
},
{
"epoch": 4.49,
"learning_rate": 5.287844469611174e-05,
"loss": 0.6508,
"step": 10000
},
{
"epoch": 4.49,
"eval_accuracy": 0.7975763082504272,
"eval_loss": 1.0451174974441528,
"eval_runtime": 245.3759,
"eval_samples_per_second": 9.08,
"eval_steps_per_second": 4.54,
"step": 10000
},
{
"epoch": 4.71,
"learning_rate": 4.8159682899207246e-05,
"loss": 0.6042,
"step": 10500
},
{
"epoch": 4.71,
"eval_accuracy": 0.7939856648445129,
"eval_loss": 1.1320722103118896,
"eval_runtime": 246.1024,
"eval_samples_per_second": 9.053,
"eval_steps_per_second": 4.527,
"step": 10500
},
{
"epoch": 4.94,
"learning_rate": 4.344092110230276e-05,
"loss": 0.4819,
"step": 11000
},
{
"epoch": 4.94,
"eval_accuracy": 0.8177737593650818,
"eval_loss": 0.9788008332252502,
"eval_runtime": 244.8325,
"eval_samples_per_second": 9.1,
"eval_steps_per_second": 4.55,
"step": 11000
},
{
"epoch": 5.16,
"learning_rate": 3.8722159305398266e-05,
"loss": 0.4216,
"step": 11500
},
{
"epoch": 5.16,
"eval_accuracy": 0.8482944369316101,
"eval_loss": 0.8459686040878296,
"eval_runtime": 245.8866,
"eval_samples_per_second": 9.061,
"eval_steps_per_second": 4.531,
"step": 11500
},
{
"epoch": 5.39,
"learning_rate": 3.401283503208758e-05,
"loss": 0.3622,
"step": 12000
},
{
"epoch": 5.39,
"eval_accuracy": 0.8357270956039429,
"eval_loss": 0.9635916948318481,
"eval_runtime": 244.3222,
"eval_samples_per_second": 9.119,
"eval_steps_per_second": 4.56,
"step": 12000
},
{
"epoch": 5.61,
"learning_rate": 2.929407323518309e-05,
"loss": 0.3374,
"step": 12500
},
{
"epoch": 5.61,
"eval_accuracy": 0.8563734292984009,
"eval_loss": 0.8446475267410278,
"eval_runtime": 244.1364,
"eval_samples_per_second": 9.126,
"eval_steps_per_second": 4.563,
"step": 12500
},
{
"epoch": 5.83,
"learning_rate": 2.4575311438278596e-05,
"loss": 0.3742,
"step": 13000
},
{
"epoch": 5.83,
"eval_accuracy": 0.884649932384491,
"eval_loss": 0.6776938438415527,
"eval_runtime": 245.0189,
"eval_samples_per_second": 9.093,
"eval_steps_per_second": 4.547,
"step": 13000
},
{
"epoch": 6.06,
"learning_rate": 1.9856549641374103e-05,
"loss": 0.3117,
"step": 13500
},
{
"epoch": 6.06,
"eval_accuracy": 0.8675942420959473,
"eval_loss": 0.8386155366897583,
"eval_runtime": 246.3484,
"eval_samples_per_second": 9.044,
"eval_steps_per_second": 4.522,
"step": 13500
},
{
"epoch": 6.28,
"learning_rate": 1.513778784446961e-05,
"loss": 0.2345,
"step": 14000
},
{
"epoch": 6.28,
"eval_accuracy": 0.8725314140319824,
"eval_loss": 0.8390255570411682,
"eval_runtime": 255.0557,
"eval_samples_per_second": 8.735,
"eval_steps_per_second": 4.368,
"step": 14000
},
{
"epoch": 6.51,
"learning_rate": 1.0419026047565119e-05,
"loss": 0.1739,
"step": 14500
},
{
"epoch": 6.51,
"eval_accuracy": 0.8994613885879517,
"eval_loss": 0.6298801302909851,
"eval_runtime": 257.8872,
"eval_samples_per_second": 8.639,
"eval_steps_per_second": 4.32,
"step": 14500
},
{
"epoch": 6.73,
"learning_rate": 5.700264250660626e-06,
"loss": 0.1661,
"step": 15000
},
{
"epoch": 6.73,
"eval_accuracy": 0.9026032090187073,
"eval_loss": 0.6533035635948181,
"eval_runtime": 256.0539,
"eval_samples_per_second": 8.701,
"eval_steps_per_second": 4.351,
"step": 15000
},
{
"epoch": 6.96,
"learning_rate": 9.909399773499434e-07,
"loss": 0.1712,
"step": 15500
},
{
"epoch": 6.96,
"eval_accuracy": 0.8940753936767578,
"eval_loss": 0.7215341925621033,
"eval_runtime": 252.7573,
"eval_samples_per_second": 8.815,
"eval_steps_per_second": 4.407,
"step": 15500
},
{
"epoch": 7.0,
"step": 15596,
"total_flos": 3.102819690448767e+18,
"train_runtime": 390.3998,
"train_samples_per_second": 159.795,
"train_steps_per_second": 39.949
}
],
"max_steps": 15596,
"num_train_epochs": 7,
"total_flos": 3.102819690448767e+18,
"trial_name": null,
"trial_params": null
}