Instructions to use Deehan1866/PR-pass-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deehan1866/PR-pass-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Deehan1866/PR-pass-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Deehan1866/PR-pass-roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("Deehan1866/PR-pass-roberta-large") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 95.33333333333333, | |
| "best_model_checkpoint": "../results/phrase_retrieval/PR-pass/qa/mpsDistillbert/finetuned/checkpoint-4500", | |
| "epoch": 2.0, | |
| "eval_steps": 100, | |
| "global_step": 5068, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03946329913180742, | |
| "grad_norm": 67.25347137451172, | |
| "learning_rate": 2.940805051302289e-05, | |
| "loss": 2.8412, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.03946329913180742, | |
| "eval_exact_match": 69.43333333333334, | |
| "eval_f1": 73.48511445732589, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.07892659826361484, | |
| "grad_norm": 28.299945831298828, | |
| "learning_rate": 2.8816101026045778e-05, | |
| "loss": 0.7987, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.07892659826361484, | |
| "eval_exact_match": 85.1, | |
| "eval_f1": 88.92439170564563, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.11838989739542226, | |
| "grad_norm": 35.28098678588867, | |
| "learning_rate": 2.8224151539068667e-05, | |
| "loss": 0.6134, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.11838989739542226, | |
| "eval_exact_match": 89.56666666666666, | |
| "eval_f1": 92.56194565862985, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.15785319652722968, | |
| "grad_norm": 28.96463966369629, | |
| "learning_rate": 2.7632202052091556e-05, | |
| "loss": 0.4986, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.15785319652722968, | |
| "eval_exact_match": 89.2, | |
| "eval_f1": 91.95230270592397, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.19731649565903708, | |
| "grad_norm": 59.035316467285156, | |
| "learning_rate": 2.7040252565114444e-05, | |
| "loss": 0.5004, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.19731649565903708, | |
| "eval_exact_match": 89.96666666666667, | |
| "eval_f1": 92.31457766489807, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.23677979479084452, | |
| "grad_norm": 21.016122817993164, | |
| "learning_rate": 2.6448303078137333e-05, | |
| "loss": 0.4413, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.23677979479084452, | |
| "eval_exact_match": 91.33333333333333, | |
| "eval_f1": 93.73205210366977, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.27624309392265195, | |
| "grad_norm": 50.69818878173828, | |
| "learning_rate": 2.585635359116022e-05, | |
| "loss": 0.3997, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.27624309392265195, | |
| "eval_exact_match": 92.1, | |
| "eval_f1": 94.01741907702439, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.31570639305445936, | |
| "grad_norm": 103.70169067382812, | |
| "learning_rate": 2.5264404104183114e-05, | |
| "loss": 0.3915, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.31570639305445936, | |
| "eval_exact_match": 91.03333333333333, | |
| "eval_f1": 93.42441436925648, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.35516969218626676, | |
| "grad_norm": 10.776900291442871, | |
| "learning_rate": 2.4672454617206e-05, | |
| "loss": 0.3936, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.35516969218626676, | |
| "eval_exact_match": 92.6, | |
| "eval_f1": 94.21299117549118, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.39463299131807417, | |
| "grad_norm": 70.64266204833984, | |
| "learning_rate": 2.4080505130228888e-05, | |
| "loss": 0.4522, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.39463299131807417, | |
| "eval_exact_match": 92.0, | |
| "eval_f1": 93.84013468013471, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.4340962904498816, | |
| "grad_norm": 122.04886627197266, | |
| "learning_rate": 2.3488555643251776e-05, | |
| "loss": 0.5036, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.4340962904498816, | |
| "eval_exact_match": 92.3, | |
| "eval_f1": 94.030187928014, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.47355958958168903, | |
| "grad_norm": 44.26261901855469, | |
| "learning_rate": 2.2896606156274665e-05, | |
| "loss": 0.4178, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.47355958958168903, | |
| "eval_exact_match": 93.2, | |
| "eval_f1": 95.1092140822141, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.5130228887134964, | |
| "grad_norm": 50.030704498291016, | |
| "learning_rate": 2.2304656669297554e-05, | |
| "loss": 0.4134, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.5130228887134964, | |
| "eval_exact_match": 92.93333333333334, | |
| "eval_f1": 94.6116678691679, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.5524861878453039, | |
| "grad_norm": 6.0724310874938965, | |
| "learning_rate": 2.1712707182320442e-05, | |
| "loss": 0.2996, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.5524861878453039, | |
| "eval_exact_match": 92.43333333333334, | |
| "eval_f1": 94.43055409989623, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.5919494869771112, | |
| "grad_norm": 138.5492706298828, | |
| "learning_rate": 2.112075769534333e-05, | |
| "loss": 0.3272, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.5919494869771112, | |
| "eval_exact_match": 92.66666666666667, | |
| "eval_f1": 94.70460317460318, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.6314127861089187, | |
| "grad_norm": 10.509523391723633, | |
| "learning_rate": 2.052880820836622e-05, | |
| "loss": 0.435, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.6314127861089187, | |
| "eval_exact_match": 93.63333333333334, | |
| "eval_f1": 95.12072967772967, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.6708760852407262, | |
| "grad_norm": 63.85009765625, | |
| "learning_rate": 1.993685872138911e-05, | |
| "loss": 0.3181, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.6708760852407262, | |
| "eval_exact_match": 93.76666666666667, | |
| "eval_f1": 95.14681913116127, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.7103393843725335, | |
| "grad_norm": 75.05247497558594, | |
| "learning_rate": 1.9344909234411997e-05, | |
| "loss": 0.2922, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.7103393843725335, | |
| "eval_exact_match": 94.23333333333333, | |
| "eval_f1": 95.71164746364745, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.749802683504341, | |
| "grad_norm": 63.5960693359375, | |
| "learning_rate": 1.8752959747434886e-05, | |
| "loss": 0.2787, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.749802683504341, | |
| "eval_exact_match": 94.06666666666666, | |
| "eval_f1": 95.59337810337813, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.7892659826361483, | |
| "grad_norm": 153.86695861816406, | |
| "learning_rate": 1.8161010260457775e-05, | |
| "loss": 0.3093, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.7892659826361483, | |
| "eval_exact_match": 93.43333333333334, | |
| "eval_f1": 95.11906084656084, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.8287292817679558, | |
| "grad_norm": 88.632080078125, | |
| "learning_rate": 1.7569060773480663e-05, | |
| "loss": 0.3384, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.8287292817679558, | |
| "eval_exact_match": 94.06666666666666, | |
| "eval_f1": 95.70005291005292, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.8681925808997633, | |
| "grad_norm": 17.5891056060791, | |
| "learning_rate": 1.6977111286503552e-05, | |
| "loss": 0.351, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.8681925808997633, | |
| "eval_exact_match": 94.66666666666667, | |
| "eval_f1": 96.17507936507938, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.9076558800315706, | |
| "grad_norm": 324.85894775390625, | |
| "learning_rate": 1.638516179952644e-05, | |
| "loss": 0.3736, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.9076558800315706, | |
| "eval_exact_match": 94.33333333333333, | |
| "eval_f1": 95.90269841269844, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.9471191791633781, | |
| "grad_norm": 53.7849006652832, | |
| "learning_rate": 1.5793212312549333e-05, | |
| "loss": 0.2718, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.9471191791633781, | |
| "eval_exact_match": 94.43333333333334, | |
| "eval_f1": 95.9603174603175, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.9865824782951855, | |
| "grad_norm": 9.57298469543457, | |
| "learning_rate": 1.5201262825572218e-05, | |
| "loss": 0.296, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.9865824782951855, | |
| "eval_exact_match": 94.7, | |
| "eval_f1": 95.994126984127, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.0260457774269929, | |
| "grad_norm": 3.4919021129608154, | |
| "learning_rate": 1.4609313338595107e-05, | |
| "loss": 0.1504, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.0260457774269929, | |
| "eval_exact_match": 94.7, | |
| "eval_f1": 96.06396825396828, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.0655090765588002, | |
| "grad_norm": 0.06277454644441605, | |
| "learning_rate": 1.4017363851617995e-05, | |
| "loss": 0.151, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.0655090765588002, | |
| "eval_exact_match": 94.4, | |
| "eval_f1": 95.89519140989731, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.1049723756906078, | |
| "grad_norm": 0.00011412293679313734, | |
| "learning_rate": 1.3425414364640886e-05, | |
| "loss": 0.1005, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.1049723756906078, | |
| "eval_exact_match": 94.9, | |
| "eval_f1": 96.31682539682541, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.1444356748224151, | |
| "grad_norm": 19.318458557128906, | |
| "learning_rate": 1.2833464877663773e-05, | |
| "loss": 0.1291, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 1.1444356748224151, | |
| "eval_exact_match": 93.93333333333334, | |
| "eval_f1": 95.529126984127, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 1.1838989739542225, | |
| "grad_norm": 4.399935245513916, | |
| "learning_rate": 1.2241515390686661e-05, | |
| "loss": 0.1054, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.1838989739542225, | |
| "eval_exact_match": 93.86666666666666, | |
| "eval_f1": 95.59808897243109, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.22336227308603, | |
| "grad_norm": 40.74488830566406, | |
| "learning_rate": 1.164956590370955e-05, | |
| "loss": 0.1713, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 1.22336227308603, | |
| "eval_exact_match": 94.43333333333334, | |
| "eval_f1": 96.00482804232804, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 1.2628255722178374, | |
| "grad_norm": 0.04602056369185448, | |
| "learning_rate": 1.1057616416732439e-05, | |
| "loss": 0.0881, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.2628255722178374, | |
| "eval_exact_match": 94.46666666666667, | |
| "eval_f1": 96.07236772486773, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.3022888713496448, | |
| "grad_norm": 78.22419738769531, | |
| "learning_rate": 1.0465666929755327e-05, | |
| "loss": 0.1207, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.3022888713496448, | |
| "eval_exact_match": 94.7, | |
| "eval_f1": 96.0661904761905, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.3417521704814521, | |
| "grad_norm": 0.2205381691455841, | |
| "learning_rate": 9.873717442778216e-06, | |
| "loss": 0.1689, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.3417521704814521, | |
| "eval_exact_match": 95.2, | |
| "eval_f1": 96.48216304650515, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.3812154696132597, | |
| "grad_norm": 46.83411407470703, | |
| "learning_rate": 9.281767955801105e-06, | |
| "loss": 0.0989, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.3812154696132597, | |
| "eval_exact_match": 94.36666666666666, | |
| "eval_f1": 95.95884920634923, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.420678768745067, | |
| "grad_norm": 0.009372607804834843, | |
| "learning_rate": 8.689818468823995e-06, | |
| "loss": 0.0866, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.420678768745067, | |
| "eval_exact_match": 94.56666666666666, | |
| "eval_f1": 96.29847883597886, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.4601420678768746, | |
| "grad_norm": 58.012062072753906, | |
| "learning_rate": 8.097868981846882e-06, | |
| "loss": 0.1983, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.4601420678768746, | |
| "eval_exact_match": 94.6, | |
| "eval_f1": 96.33773809523815, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.499605367008682, | |
| "grad_norm": 0.0017438705544918776, | |
| "learning_rate": 7.505919494869771e-06, | |
| "loss": 0.1228, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.499605367008682, | |
| "eval_exact_match": 95.1, | |
| "eval_f1": 96.49228021978023, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.5390686661404893, | |
| "grad_norm": 0.00036309007555246353, | |
| "learning_rate": 6.91397000789266e-06, | |
| "loss": 0.0761, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.5390686661404893, | |
| "eval_exact_match": 94.83333333333333, | |
| "eval_f1": 96.32456349206349, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.5785319652722967, | |
| "grad_norm": 0.058913152664899826, | |
| "learning_rate": 6.322020520915548e-06, | |
| "loss": 0.1332, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.5785319652722967, | |
| "eval_exact_match": 94.76666666666667, | |
| "eval_f1": 96.26157647907651, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.617995264404104, | |
| "grad_norm": 8.819950016913936e-05, | |
| "learning_rate": 5.730071033938438e-06, | |
| "loss": 0.1538, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.617995264404104, | |
| "eval_exact_match": 95.33333333333333, | |
| "eval_f1": 96.71250000000002, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.6574585635359116, | |
| "grad_norm": 0.2561735510826111, | |
| "learning_rate": 5.1381215469613265e-06, | |
| "loss": 0.0977, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 1.6574585635359116, | |
| "eval_exact_match": 94.83333333333333, | |
| "eval_f1": 96.35535714285714, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 1.6969218626677192, | |
| "grad_norm": 0.0023131032940000296, | |
| "learning_rate": 4.546172059984215e-06, | |
| "loss": 0.1299, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 1.6969218626677192, | |
| "eval_exact_match": 94.66666666666667, | |
| "eval_f1": 96.20515873015874, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 1.7363851617995265, | |
| "grad_norm": 0.04482404515147209, | |
| "learning_rate": 3.954222573007103e-06, | |
| "loss": 0.0895, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 1.7363851617995265, | |
| "eval_exact_match": 95.26666666666667, | |
| "eval_f1": 96.61154761904761, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 1.7758484609313339, | |
| "grad_norm": 11.488630294799805, | |
| "learning_rate": 3.362273086029992e-06, | |
| "loss": 0.1245, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.7758484609313339, | |
| "eval_exact_match": 95.33333333333333, | |
| "eval_f1": 96.5898015873016, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.8153117600631412, | |
| "grad_norm": 0.000506121723446995, | |
| "learning_rate": 2.7703235990528812e-06, | |
| "loss": 0.1046, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 1.8153117600631412, | |
| "eval_exact_match": 95.3, | |
| "eval_f1": 96.55313492063492, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 1.8547750591949486, | |
| "grad_norm": 12.496238708496094, | |
| "learning_rate": 2.1783741120757695e-06, | |
| "loss": 0.0985, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 1.8547750591949486, | |
| "eval_exact_match": 95.1, | |
| "eval_f1": 96.48452380952381, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 1.8942383583267561, | |
| "grad_norm": 97.22492218017578, | |
| "learning_rate": 1.5864246250986582e-06, | |
| "loss": 0.1193, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 1.8942383583267561, | |
| "eval_exact_match": 95.26666666666667, | |
| "eval_f1": 96.62202380952381, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 1.9337016574585635, | |
| "grad_norm": 0.0009776244405657053, | |
| "learning_rate": 9.944751381215469e-07, | |
| "loss": 0.0811, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 1.9337016574585635, | |
| "eval_exact_match": 95.1, | |
| "eval_f1": 96.48424603174604, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 1.973164956590371, | |
| "grad_norm": 0.05864416062831879, | |
| "learning_rate": 4.025256511444357e-07, | |
| "loss": 0.0894, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.973164956590371, | |
| "eval_exact_match": 95.2, | |
| "eval_f1": 96.51480158730159, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 5068, | |
| "total_flos": 3.764792404688486e+16, | |
| "train_loss": 0.30838469322403306, | |
| "train_runtime": 8673.587, | |
| "train_samples_per_second": 4.674, | |
| "train_steps_per_second": 0.584 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 5068, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.764792404688486e+16, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |