English
jinjieyuan's picture
Upload model
e785a97
raw
history blame
11.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"best_supernet_model_checkpoint": null,
"epoch": 4.0,
"global_step": 22132,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"compression_loss": 0.0,
"epoch": 0.09,
"learning_rate": 2.998341292195967e-05,
"loss": 4.6579,
"step": 500
},
{
"compression_loss": 0.0,
"epoch": 0.18,
"learning_rate": 2.9933287793976817e-05,
"loss": 2.3167,
"step": 1000
},
{
"compression_loss": 0.0,
"epoch": 0.27,
"learning_rate": 2.9849736210934906e-05,
"loss": 1.85,
"step": 1500
},
{
"compression_loss": 0.0,
"epoch": 0.36,
"learning_rate": 2.9732945193487002e-05,
"loss": 1.6287,
"step": 2000
},
{
"compression_loss": 0.0,
"epoch": 0.45,
"learning_rate": 2.9583176164954607e-05,
"loss": 1.4613,
"step": 2500
},
{
"compression_loss": 0.0,
"epoch": 0.54,
"learning_rate": 2.9401161507934368e-05,
"loss": 1.3555,
"step": 3000
},
{
"compression_loss": 0.0,
"epoch": 0.63,
"learning_rate": 2.9186579260115404e-05,
"loss": 1.2711,
"step": 3500
},
{
"compression_loss": 0.0,
"epoch": 0.72,
"learning_rate": 2.8940241978801994e-05,
"loss": 1.23,
"step": 4000
},
{
"compression_loss": 0.0,
"epoch": 0.81,
"learning_rate": 2.8662701061795924e-05,
"loss": 1.1722,
"step": 4500
},
{
"compression_loss": 0.0,
"epoch": 0.9,
"learning_rate": 2.8355224073338655e-05,
"loss": 1.0992,
"step": 5000
},
{
"compression_loss": 0.0,
"epoch": 0.99,
"learning_rate": 2.8017267123155836e-05,
"loss": 1.102,
"step": 5500
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 320, 1: 128, 2: 384, 3: 384, 4: 512, 5: 384, 6: 320, 7: 384, 8: 734, 9: 721, 10: 785, 11: 669, 12: 672, 13: 625, 14: 637, 15: 412})])",
"epoch": 1.0,
"eval_exact_match": 74.08703878902554,
"eval_f1": 82.68222981097581,
"eval_runtime": 15.4387,
"eval_samples_per_second": 698.503,
"eval_steps_per_second": 5.506,
"step": 5533
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 512, 1: 512, 2: 512, 3: 512, 4: 512, 5: 512, 6: 512, 7: 512, 8: 2048, 9: 2048, 10: 2048, 11: 2048, 12: 2048, 13: 2048, 14: 2048, 15: 2048})])",
"epoch": 1.0,
"eval_exact_match": 77.8240302743614,
"eval_f1": 85.45764678262142,
"eval_runtime": 17.4036,
"eval_samples_per_second": 619.64,
"eval_steps_per_second": 4.884,
"step": 5533
},
{
"compression_loss": 0.0,
"epoch": 1.08,
"learning_rate": 2.7650935243960826e-05,
"loss": 0.8759,
"step": 6000
},
{
"compression_loss": 0.0,
"epoch": 1.17,
"learning_rate": 2.7255580438167598e-05,
"loss": 0.8374,
"step": 6500
},
{
"compression_loss": 0.0,
"epoch": 1.27,
"learning_rate": 2.6832792918668526e-05,
"loss": 0.8171,
"step": 7000
},
{
"compression_loss": 0.0,
"epoch": 1.36,
"learning_rate": 2.6384443369274024e-05,
"loss": 0.8208,
"step": 7500
},
{
"compression_loss": 0.0,
"epoch": 1.45,
"learning_rate": 2.5909738712880504e-05,
"loss": 0.8126,
"step": 8000
},
{
"compression_loss": 0.0,
"epoch": 1.54,
"learning_rate": 2.5410613855401778e-05,
"loss": 0.8021,
"step": 8500
},
{
"compression_loss": 0.0,
"epoch": 1.63,
"learning_rate": 2.4888186030687985e-05,
"loss": 0.7983,
"step": 9000
},
{
"compression_loss": 0.0,
"epoch": 1.72,
"learning_rate": 2.434473504350374e-05,
"loss": 0.7963,
"step": 9500
},
{
"compression_loss": 0.0,
"epoch": 1.81,
"learning_rate": 2.3779299593596958e-05,
"loss": 0.787,
"step": 10000
},
{
"compression_loss": 0.0,
"epoch": 1.9,
"learning_rate": 2.3194212686665838e-05,
"loss": 0.7865,
"step": 10500
},
{
"compression_loss": 0.0,
"epoch": 1.99,
"learning_rate": 2.259078397276668e-05,
"loss": 0.7539,
"step": 11000
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 320, 1: 128, 2: 384, 3: 384, 4: 512, 5: 384, 6: 320, 7: 384, 8: 734, 9: 721, 10: 785, 11: 669, 12: 672, 13: 625, 14: 637, 15: 412})])",
"epoch": 2.0,
"eval_exact_match": 76.00756859035005,
"eval_f1": 84.32391737009917,
"eval_runtime": 15.8101,
"eval_samples_per_second": 682.096,
"eval_steps_per_second": 5.376,
"step": 11066
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 512, 1: 512, 2: 512, 3: 512, 4: 512, 5: 512, 6: 512, 7: 512, 8: 2048, 9: 2048, 10: 2048, 11: 2048, 12: 2048, 13: 2048, 14: 2048, 15: 2048})])",
"epoch": 2.0,
"eval_exact_match": 78.63765373699148,
"eval_f1": 86.26458598190044,
"eval_runtime": 17.107,
"eval_samples_per_second": 630.386,
"eval_steps_per_second": 4.969,
"step": 11066
},
{
"compression_loss": 0.0,
"epoch": 2.08,
"learning_rate": 2.1971621037713612e-05,
"loss": 0.6107,
"step": 11500
},
{
"compression_loss": 0.0,
"epoch": 2.17,
"learning_rate": 2.1335628655810864e-05,
"loss": 0.5949,
"step": 12000
},
{
"compression_loss": 0.0,
"epoch": 2.26,
"learning_rate": 2.0686768233292663e-05,
"loss": 0.5874,
"step": 12500
},
{
"compression_loss": 0.0,
"epoch": 2.35,
"learning_rate": 2.0023892013135002e-05,
"loss": 0.595,
"step": 13000
},
{
"compression_loss": 0.0,
"epoch": 2.44,
"learning_rate": 1.934977038587642e-05,
"loss": 0.5811,
"step": 13500
},
{
"compression_loss": 0.0,
"epoch": 2.53,
"learning_rate": 1.866591229560134e-05,
"loss": 0.587,
"step": 14000
},
{
"compression_loss": 0.0,
"epoch": 2.62,
"learning_rate": 1.797384848035196e-05,
"loss": 0.5865,
"step": 14500
},
{
"compression_loss": 0.0,
"epoch": 2.71,
"learning_rate": 1.7275128045746396e-05,
"loss": 0.58,
"step": 15000
},
{
"compression_loss": 0.0,
"epoch": 2.8,
"learning_rate": 1.657131499748308e-05,
"loss": 0.5749,
"step": 15500
},
{
"compression_loss": 0.0,
"epoch": 2.89,
"learning_rate": 1.5863984740493084e-05,
"loss": 0.5778,
"step": 16000
},
{
"compression_loss": 0.0,
"epoch": 2.98,
"learning_rate": 1.5156139956150232e-05,
"loss": 0.578,
"step": 16500
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 320, 1: 128, 2: 384, 3: 384, 4: 512, 5: 384, 6: 320, 7: 384, 8: 734, 9: 721, 10: 785, 11: 669, 12: 672, 13: 625, 14: 637, 15: 412})])",
"epoch": 3.0,
"eval_exact_match": 77.12393566698202,
"eval_f1": 85.18935202750461,
"eval_runtime": 15.5394,
"eval_samples_per_second": 693.978,
"eval_steps_per_second": 5.47,
"step": 16599
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 512, 1: 512, 2: 512, 3: 512, 4: 512, 5: 512, 6: 512, 7: 512, 8: 2048, 9: 2048, 10: 2048, 11: 2048, 12: 2048, 13: 2048, 14: 2048, 15: 2048})])",
"epoch": 3.0,
"eval_exact_match": 79.72563859981078,
"eval_f1": 87.10479444519025,
"eval_runtime": 28.4742,
"eval_samples_per_second": 378.728,
"eval_steps_per_second": 2.985,
"step": 16599
},
{
"compression_loss": 0.0,
"epoch": 3.07,
"learning_rate": 1.4447947066739665e-05,
"loss": 0.5046,
"step": 17000
},
{
"compression_loss": 0.0,
"epoch": 3.16,
"learning_rate": 1.3739570482441875e-05,
"loss": 0.4814,
"step": 17500
},
{
"compression_loss": 0.0,
"epoch": 3.25,
"learning_rate": 1.303401522531631e-05,
"loss": 0.4852,
"step": 18000
},
{
"compression_loss": 0.0,
"epoch": 3.34,
"learning_rate": 1.2332860600029118e-05,
"loss": 0.4817,
"step": 18500
},
{
"compression_loss": 0.0,
"epoch": 3.43,
"learning_rate": 1.163767606093589e-05,
"loss": 0.4739,
"step": 19000
},
{
"compression_loss": 0.0,
"epoch": 3.52,
"learning_rate": 1.0950017699037782e-05,
"loss": 0.476,
"step": 19500
},
{
"compression_loss": 0.0,
"epoch": 3.61,
"learning_rate": 1.0271424758849935e-05,
"loss": 0.4713,
"step": 20000
},
{
"compression_loss": 0.0,
"epoch": 3.71,
"learning_rate": 9.603416192978867e-06,
"loss": 0.4699,
"step": 20500
},
{
"compression_loss": 0.0,
"epoch": 3.8,
"learning_rate": 8.94748726212097e-06,
"loss": 0.484,
"step": 21000
},
{
"compression_loss": 0.0,
"epoch": 3.89,
"learning_rate": 8.305106188092613e-06,
"loss": 0.4669,
"step": 21500
},
{
"compression_loss": 0.0,
"epoch": 3.98,
"learning_rate": 7.677710867383705e-06,
"loss": 0.4711,
"step": 22000
},
{
"Minimum SubNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 320, 1: 128, 2: 384, 3: 384, 4: 512, 5: 384, 6: 320, 7: 384, 8: 734, 9: 721, 10: 785, 11: 669, 12: 672, 13: 625, 14: 637, 15: 412})])",
"epoch": 4.0,
"eval_exact_match": 77.52128666035951,
"eval_f1": 85.45904836346396,
"eval_runtime": 24.1677,
"eval_samples_per_second": 446.215,
"eval_steps_per_second": 3.517,
"step": 22132
},
{
"SuperNet": "OrderedDict([(<ElasticityDim.WIDTH: 'width'>, {0: 512, 1: 512, 2: 512, 3: 512, 4: 512, 5: 512, 6: 512, 7: 512, 8: 2048, 9: 2048, 10: 2048, 11: 2048, 12: 2048, 13: 2048, 14: 2048, 15: 2048})])",
"epoch": 4.0,
"eval_exact_match": 80.12298959318827,
"eval_f1": 87.32509460850044,
"eval_runtime": 29.2081,
"eval_samples_per_second": 369.212,
"eval_steps_per_second": 2.91,
"step": 22132
},
{
"epoch": 4.0,
"step": 22132,
"total_flos": 2.057632914980045e+16,
"train_loss": 0.9007888646059434,
"train_runtime": 22370.0869,
"train_samples_per_second": 15.829,
"train_steps_per_second": 0.989
}
],
"max_steps": 22132,
"min_subnet_acc": null,
"min_subnet_best_acc": null,
"num_train_epochs": 4,
"supernet_acc": null,
"supernet_best_acc": null,
"total_flos": 2.057632914980045e+16,
"trial_name": null,
"trial_params": null
}