English
jinjieyuan's picture
Upload model
1960aa4
raw
history blame
26 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"best_supernet_model_checkpoint": null,
"epoch": 20.0,
"global_step": 2300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 1.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8490469358475097,
"eval_f1": 0.8745644599303136,
"eval_loss": 0.46352434158325195,
"eval_runtime": 0.5288,
"eval_samples_per_second": 771.53,
"eval_steps_per_second": 7.564,
"step": 115
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 1.0,
"eval_accuracy": 0.8357843137254902,
"eval_combined_score": 0.8596312872975278,
"eval_f1": 0.8834782608695653,
"eval_loss": 0.40375280380249023,
"eval_runtime": 0.6306,
"eval_samples_per_second": 647.039,
"eval_steps_per_second": 6.344,
"step": 115
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 2.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8492647058823529,
"eval_f1": 0.875,
"eval_loss": 0.4734054207801819,
"eval_runtime": 0.4906,
"eval_samples_per_second": 831.692,
"eval_steps_per_second": 8.154,
"step": 230
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 2.0,
"eval_accuracy": 0.8480392156862745,
"eval_combined_score": 0.8712985194077632,
"eval_f1": 0.8945578231292517,
"eval_loss": 0.3588949739933014,
"eval_runtime": 0.628,
"eval_samples_per_second": 649.705,
"eval_steps_per_second": 6.37,
"step": 230
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 3.0,
"eval_accuracy": 0.803921568627451,
"eval_combined_score": 0.8359541836536595,
"eval_f1": 0.867986798679868,
"eval_loss": 0.9021703004837036,
"eval_runtime": 0.5062,
"eval_samples_per_second": 806.001,
"eval_steps_per_second": 7.902,
"step": 345
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 3.0,
"eval_accuracy": 0.8504901960784313,
"eval_combined_score": 0.8743269010442241,
"eval_f1": 0.8981636060100167,
"eval_loss": 0.6408894658088684,
"eval_runtime": 0.6431,
"eval_samples_per_second": 634.428,
"eval_steps_per_second": 6.22,
"step": 345
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 4.0,
"eval_accuracy": 0.8406862745098039,
"eval_combined_score": 0.8645969966031009,
"eval_f1": 0.8885077186963979,
"eval_loss": 0.733981728553772,
"eval_runtime": 0.5322,
"eval_samples_per_second": 766.697,
"eval_steps_per_second": 7.517,
"step": 460
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 4.0,
"eval_accuracy": 0.8578431372549019,
"eval_combined_score": 0.8797690262545697,
"eval_f1": 0.9016949152542373,
"eval_loss": 0.6668654680252075,
"eval_runtime": 0.664,
"eval_samples_per_second": 614.462,
"eval_steps_per_second": 6.024,
"step": 460
},
{
"compression_loss": 0.0,
"epoch": 4.35,
"learning_rate": 2.6738413736593183e-05,
"loss": 0.6907,
"step": 500
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 5.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8511586452762923,
"eval_f1": 0.8787878787878788,
"eval_loss": 0.839835524559021,
"eval_runtime": 0.4417,
"eval_samples_per_second": 923.667,
"eval_steps_per_second": 9.056,
"step": 575
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 5.0,
"eval_accuracy": 0.8799019607843137,
"eval_combined_score": 0.8976366453317077,
"eval_f1": 0.9153713298791019,
"eval_loss": 0.6096086502075195,
"eval_runtime": 0.5485,
"eval_samples_per_second": 743.792,
"eval_steps_per_second": 7.292,
"step": 575
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 6.0,
"eval_accuracy": 0.8186274509803921,
"eval_combined_score": 0.8459575611066344,
"eval_f1": 0.8732876712328768,
"eval_loss": 1.0232644081115723,
"eval_runtime": 0.4729,
"eval_samples_per_second": 862.676,
"eval_steps_per_second": 8.458,
"step": 690
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 6.0,
"eval_accuracy": 0.8406862745098039,
"eval_combined_score": 0.8645969966031009,
"eval_f1": 0.8885077186963979,
"eval_loss": 0.8277555108070374,
"eval_runtime": 0.6413,
"eval_samples_per_second": 636.161,
"eval_steps_per_second": 6.237,
"step": 690
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 7.0,
"eval_accuracy": 0.8137254901960784,
"eval_combined_score": 0.8382706873363064,
"eval_f1": 0.8628158844765343,
"eval_loss": 0.9062389135360718,
"eval_runtime": 0.5264,
"eval_samples_per_second": 775.021,
"eval_steps_per_second": 7.598,
"step": 805
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 7.0,
"eval_accuracy": 0.8455882352941176,
"eval_combined_score": 0.8670419052576783,
"eval_f1": 0.8884955752212389,
"eval_loss": 0.696999728679657,
"eval_runtime": 0.6178,
"eval_samples_per_second": 660.427,
"eval_steps_per_second": 6.475,
"step": 805
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 8.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8499090357792601,
"eval_f1": 0.8762886597938144,
"eval_loss": 0.9299286603927612,
"eval_runtime": 0.5047,
"eval_samples_per_second": 808.406,
"eval_steps_per_second": 7.926,
"step": 920
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 8.0,
"eval_accuracy": 0.8455882352941176,
"eval_combined_score": 0.8700302985515815,
"eval_f1": 0.8944723618090453,
"eval_loss": 0.7925681471824646,
"eval_runtime": 0.6718,
"eval_samples_per_second": 607.307,
"eval_steps_per_second": 5.954,
"step": 920
},
{
"compression_loss": 0.0,
"epoch": 8.7,
"learning_rate": 1.829214077705104e-05,
"loss": 0.0889,
"step": 1000
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 9.0,
"eval_accuracy": 0.821078431372549,
"eval_combined_score": 0.8487794864138549,
"eval_f1": 0.8764805414551609,
"eval_loss": 0.9827358722686768,
"eval_runtime": 0.4726,
"eval_samples_per_second": 863.398,
"eval_steps_per_second": 8.465,
"step": 1035
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 9.0,
"eval_accuracy": 0.8529411764705882,
"eval_combined_score": 0.8754501800720287,
"eval_f1": 0.8979591836734693,
"eval_loss": 0.7438695430755615,
"eval_runtime": 0.6707,
"eval_samples_per_second": 608.321,
"eval_steps_per_second": 5.964,
"step": 1035
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 10.0,
"eval_accuracy": 0.8284313725490197,
"eval_combined_score": 0.8546918767507002,
"eval_f1": 0.8809523809523808,
"eval_loss": 0.8921936750411987,
"eval_runtime": 0.4539,
"eval_samples_per_second": 898.928,
"eval_steps_per_second": 8.813,
"step": 1150
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 10.0,
"eval_accuracy": 0.8602941176470589,
"eval_combined_score": 0.8807536446120909,
"eval_f1": 0.9012131715771231,
"eval_loss": 0.6455641984939575,
"eval_runtime": 0.6908,
"eval_samples_per_second": 590.661,
"eval_steps_per_second": 5.791,
"step": 1150
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 11.0,
"eval_accuracy": 0.821078431372549,
"eval_combined_score": 0.8491946778711483,
"eval_f1": 0.8773109243697478,
"eval_loss": 0.9563024044036865,
"eval_runtime": 0.5754,
"eval_samples_per_second": 709.094,
"eval_steps_per_second": 6.952,
"step": 1265
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 11.0,
"eval_accuracy": 0.8553921568627451,
"eval_combined_score": 0.877611188787909,
"eval_f1": 0.8998302207130731,
"eval_loss": 0.6870017051696777,
"eval_runtime": 0.6557,
"eval_samples_per_second": 622.197,
"eval_steps_per_second": 6.1,
"step": 1265
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 12.0,
"eval_accuracy": 0.8259803921568627,
"eval_combined_score": 0.8525131943748538,
"eval_f1": 0.8790459965928449,
"eval_loss": 0.9068766832351685,
"eval_runtime": 0.5352,
"eval_samples_per_second": 762.351,
"eval_steps_per_second": 7.474,
"step": 1380
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 12.0,
"eval_accuracy": 0.8676470588235294,
"eval_combined_score": 0.8866207322089674,
"eval_f1": 0.9055944055944055,
"eval_loss": 0.5972063541412354,
"eval_runtime": 0.6204,
"eval_samples_per_second": 657.677,
"eval_steps_per_second": 6.448,
"step": 1380
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 13.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8515640369860318,
"eval_f1": 0.8795986622073578,
"eval_loss": 0.9531628489494324,
"eval_runtime": 0.4389,
"eval_samples_per_second": 929.512,
"eval_steps_per_second": 9.113,
"step": 1495
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 13.0,
"eval_accuracy": 0.8651960784313726,
"eval_combined_score": 0.8849377272572807,
"eval_f1": 0.9046793760831888,
"eval_loss": 0.641593337059021,
"eval_runtime": 0.5799,
"eval_samples_per_second": 703.627,
"eval_steps_per_second": 6.898,
"step": 1495
},
{
"compression_loss": 0.0,
"epoch": 13.04,
"learning_rate": 8.410113675774417e-06,
"loss": 0.0339,
"step": 1500
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 14.0,
"eval_accuracy": 0.8259803921568627,
"eval_combined_score": 0.8523064353946708,
"eval_f1": 0.8786324786324787,
"eval_loss": 0.9255245327949524,
"eval_runtime": 0.5277,
"eval_samples_per_second": 773.205,
"eval_steps_per_second": 7.58,
"step": 1610
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 14.0,
"eval_accuracy": 0.8578431372549019,
"eval_combined_score": 0.8796018407362944,
"eval_f1": 0.901360544217687,
"eval_loss": 0.7534880042076111,
"eval_runtime": 0.6535,
"eval_samples_per_second": 624.357,
"eval_steps_per_second": 6.121,
"step": 1610
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 15.0,
"eval_accuracy": 0.821078431372549,
"eval_combined_score": 0.8479320115696364,
"eval_f1": 0.8747855917667238,
"eval_loss": 0.9056081771850586,
"eval_runtime": 0.3636,
"eval_samples_per_second": 1122.037,
"eval_steps_per_second": 11.0,
"step": 1725
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 15.0,
"eval_accuracy": 0.8602941176470589,
"eval_combined_score": 0.8802346244977852,
"eval_f1": 0.9001751313485115,
"eval_loss": 0.6561837196350098,
"eval_runtime": 0.492,
"eval_samples_per_second": 829.301,
"eval_steps_per_second": 8.13,
"step": 1725
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 16.0,
"eval_accuracy": 0.8088235294117647,
"eval_combined_score": 0.8396277115497361,
"eval_f1": 0.8704318936877077,
"eval_loss": 0.9581977725028992,
"eval_runtime": 0.3672,
"eval_samples_per_second": 1111.013,
"eval_steps_per_second": 10.892,
"step": 1840
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 16.0,
"eval_accuracy": 0.8553921568627451,
"eval_combined_score": 0.877440541804456,
"eval_f1": 0.899488926746167,
"eval_loss": 0.7179605960845947,
"eval_runtime": 0.4744,
"eval_samples_per_second": 860.007,
"eval_steps_per_second": 8.431,
"step": 1840
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 17.0,
"eval_accuracy": 0.8308823529411765,
"eval_combined_score": 0.856867322480775,
"eval_f1": 0.8828522920203735,
"eval_loss": 0.9101623892784119,
"eval_runtime": 0.3973,
"eval_samples_per_second": 1026.915,
"eval_steps_per_second": 10.068,
"step": 1955
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 17.0,
"eval_accuracy": 0.8627450980392157,
"eval_combined_score": 0.883262583383869,
"eval_f1": 0.9037800687285222,
"eval_loss": 0.6792478561401367,
"eval_runtime": 0.4894,
"eval_samples_per_second": 833.646,
"eval_steps_per_second": 8.173,
"step": 1955
},
{
"compression_loss": 0.0,
"epoch": 17.39,
"learning_rate": 1.41888323488484e-06,
"loss": 0.0195,
"step": 2000
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 18.0,
"eval_accuracy": 0.8284313725490197,
"eval_combined_score": 0.8546918767507002,
"eval_f1": 0.8809523809523808,
"eval_loss": 0.8795027136802673,
"eval_runtime": 0.4269,
"eval_samples_per_second": 955.795,
"eval_steps_per_second": 9.371,
"step": 2070
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 18.0,
"eval_accuracy": 0.8651960784313726,
"eval_combined_score": 0.8851023570049782,
"eval_f1": 0.9050086355785838,
"eval_loss": 0.6670258641242981,
"eval_runtime": 0.488,
"eval_samples_per_second": 836.011,
"eval_steps_per_second": 8.196,
"step": 2070
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 19.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8509538950715421,
"eval_f1": 0.8783783783783784,
"eval_loss": 0.9087016582489014,
"eval_runtime": 0.4014,
"eval_samples_per_second": 1016.504,
"eval_steps_per_second": 9.966,
"step": 2185
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 19.0,
"eval_accuracy": 0.8627450980392157,
"eval_combined_score": 0.883262583383869,
"eval_f1": 0.9037800687285222,
"eval_loss": 0.6763139367103577,
"eval_runtime": 0.5343,
"eval_samples_per_second": 763.583,
"eval_steps_per_second": 7.486,
"step": 2185
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 704, 2: 768, 3: 768, 4: 768, 5: 640, 6: 640, 7: 512, 8: 512, 9: 320, 10: 192, 11: 192, 12: 995, 13: 930, 14: 928, 15: 931, 16: 872, 17: 787, 18: 672, 19: 579, 20: 409, 21: 291, 22: 300, 23: 308})])",
"epoch": 20.0,
"eval_accuracy": 0.8235294117647058,
"eval_combined_score": 0.8509538950715421,
"eval_f1": 0.8783783783783784,
"eval_loss": 0.9081816673278809,
"eval_runtime": 0.4205,
"eval_samples_per_second": 970.314,
"eval_steps_per_second": 9.513,
"step": 2300
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 768, 1: 768, 2: 768, 3: 768, 4: 768, 5: 768, 6: 768, 7: 768, 8: 768, 9: 768, 10: 768, 11: 768, 12: 3072, 13: 3072, 14: 3072, 15: 3072, 16: 3072, 17: 3072, 18: 3072, 19: 3072, 20: 3072, 21: 3072, 22: 3072, 23: 3072})])",
"epoch": 20.0,
"eval_accuracy": 0.8627450980392157,
"eval_combined_score": 0.883262583383869,
"eval_f1": 0.9037800687285222,
"eval_loss": 0.6761664748191833,
"eval_runtime": 0.4936,
"eval_samples_per_second": 826.651,
"eval_steps_per_second": 8.104,
"step": 2300
},
{
"epoch": 20.0,
"step": 2300,
"total_flos": 4825456755302400.0,
"train_loss": 0.18312535887179168,
"train_runtime": 4630.0259,
"train_samples_per_second": 15.844,
"train_steps_per_second": 0.497
}
],
"max_steps": 2300,
"min_subnet_acc": null,
"min_subnet_best_acc": null,
"num_train_epochs": 20,
"supernet_acc": null,
"supernet_best_acc": null,
"total_flos": 4825456755302400.0,
"trial_name": null,
"trial_params": null
}