--- license: apache-2.0 base_model: allenai/longformer-base-4096 tags: - generated_from_trainer datasets: - essays_su_g metrics: - accuracy model-index: - name: longformer-spans results: - task: name: Token Classification type: token-classification dataset: name: essays_su_g type: essays_su_g config: spans split: train[0%:20%] args: spans metrics: - name: Accuracy type: accuracy value: 0.9304561259971365 --- # longformer-spans This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset. It achieves the following results on the evaluation set: - Loss: 0.6554 - B: {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0} - I: {'precision': 0.9360508205399682, 'recall': 0.9644902634593356, 'f1-score': 0.9500577599871047, 'support': 18333.0} - O: {'precision': 0.9292274446245273, 'recall': 0.8715038508309688, 'f1-score': 0.8994404643622863, 'support': 9868.0} - Accuracy: 0.9305 - Macro avg: {'precision': 0.9054712243567663, 'recall': 0.9097326659284835, 'f1-score': 0.907053528127948, 'support': 29334.0} - Weighted avg: {'precision': 0.9304756437468926, 'recall': 0.9304561259971365, 'f1-score': 0.9300020750695325, 'support': 29334.0} ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 50 ### Training results | Training Loss | Epoch | Step | Validation Loss | B | I | O | Accuracy | Macro avg | Weighted avg | |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:| | No log | 1.0 | 81 | 0.2531 | {'precision': 0.7474747474747475, 'recall': 0.9143865842894969, 'f1-score': 0.8225486304088924, 'support': 1133.0} | {'precision': 0.9081643158653351, 'recall': 0.9623084056073746, 'f1-score': 0.9344527132604147, 'support': 18333.0} | {'precision': 0.9300633654071814, 'recall': 0.8032022699635184, 'f1-score': 0.8619902120717781, 'support': 9868.0} | 0.9069 | {'precision': 0.8619008095824213, 'recall': 0.89329908662013, 'f1-score': 0.8729971852470283, 'support': 29334.0} | {'precision': 0.9093246942621582, 'recall': 0.9069339333196973, 'f1-score': 0.9057540261532953, 'support': 29334.0} | | No log | 2.0 | 162 | 0.2078 | {'precision': 0.8297520661157025, 'recall': 0.8861429832303619, 'f1-score': 0.8570209133589416, 'support': 1133.0} | {'precision': 0.9325182597650048, 'recall': 0.9610538373424972, 'f1-score': 0.9465710371504554, 'support': 18333.0} | {'precision': 0.9238353196099675, 'recall': 0.8641062018646128, 'f1-score': 0.8929730861870352, 'support': 9868.0} | 0.9255 | {'precision': 0.8953685484968915, 'recall': 0.9037676741458239, 'f1-score': 0.898855012232144, 'support': 29334.0} | {'precision': 0.9256280521269545, 'recall': 0.9255471466557578, 'f1-score': 0.9250818140522481, 'support': 29334.0} | | No log | 3.0 | 243 | 0.2431 | {'precision': 0.8289473684210527, 'recall': 0.8896734333627537, 'f1-score': 0.8582375478927203, 'support': 1133.0} | {'precision': 0.92943782301445, 'recall': 0.9613265695739922, 'f1-score': 0.9451132859632658, 'support': 18333.0} | {'precision': 0.923219746614242, 'recall': 0.8566072152411837, 'f1-score': 0.8886669470142977, 'support': 9868.0} | 0.9233 | {'precision': 0.8938683126832482, 'recall': 0.9025357393926431, 'f1-score': 0.8973392602900946, 'support': 29334.0} | {'precision': 0.9234646975296347, 'recall': 0.9233312879252744, 'f1-score': 0.9227691568304388, 'support': 29334.0} | | No log | 4.0 | 324 | 0.2805 | {'precision': 0.8503869303525365, 'recall': 0.8729037952338923, 'f1-score': 0.8614982578397212, 'support': 1133.0} | {'precision': 0.9574755315558555, 'recall': 0.9284896089019801, 'f1-score': 0.942759823876381, 'support': 18333.0} | {'precision': 0.8724141248917541, 'recall': 0.9188285366842318, 'f1-score': 0.8950199891417008, 'support': 9868.0} | 0.9231 | {'precision': 0.8934255289333821, 'recall': 0.9067406469400346, 'f1-score': 0.8997593569526009, 'support': 29334.0} | {'precision': 0.9247245481875896, 'recall': 0.9230926569850685, 'f1-score': 0.9235614178123817, 'support': 29334.0} | | No log | 5.0 | 405 | 0.2743 | {'precision': 0.8405063291139241, 'recall': 0.8790820829655781, 'f1-score': 0.8593615185504745, 'support': 1133.0} | {'precision': 0.9325283338629382, 'recall': 0.9604538264332079, 'f1-score': 0.9462851000940481, 'support': 18333.0} | {'precision': 0.921333764972483, 'recall': 0.8652209160924199, 'f1-score': 0.8923961327410503, 'support': 9868.0} | 0.9253 | {'precision': 0.8981228093164484, 'recall': 0.9015856084970686, 'f1-score': 0.899347583795191, 'support': 29334.0} | {'precision': 0.92520819555273, 'recall': 0.9252744255812367, 'f1-score': 0.9247994265504382, 'support': 29334.0} | | No log | 6.0 | 486 | 0.2924 | {'precision': 0.8355481727574751, 'recall': 0.8879082082965578, 'f1-score': 0.8609328198545143, 'support': 1133.0} | {'precision': 0.9304343225942971, 'recall': 0.9593628975072274, 'f1-score': 0.9446771941132237, 'support': 18333.0} | {'precision': 0.9198005852389726, 'recall': 0.8600526955816782, 'f1-score': 0.8889238020424195, 'support': 9868.0} | 0.9232 | {'precision': 0.8952610268635816, 'recall': 0.9024412671284878, 'f1-score': 0.8981779386700525, 'support': 29334.0} | {'precision': 0.923192223733335, 'recall': 0.9231949273880139, 'f1-score': 0.9226871194902669, 'support': 29334.0} | | 0.1596 | 7.0 | 567 | 0.3490 | {'precision': 0.8356729975227085, 'recall': 0.8932038834951457, 'f1-score': 0.863481228668942, 'support': 1133.0} | {'precision': 0.93515484621076, 'recall': 0.9651993672612229, 'f1-score': 0.949939605422091, 'support': 18333.0} | {'precision': 0.930659710900989, 'recall': 0.8677543575192541, 'f1-score': 0.8981068750327758, 'support': 9868.0} | 0.9296 | {'precision': 0.9004958515448193, 'recall': 0.9087192027585408, 'f1-score': 0.9038425697079363, 'support': 29334.0} | {'precision': 0.9298002771168626, 'recall': 0.9296379627735734, 'f1-score': 0.9291636210918572, 'support': 29334.0} | | 0.1596 | 8.0 | 648 | 0.3490 | {'precision': 0.8596491228070176, 'recall': 0.8649602824360106, 'f1-score': 0.8622965244170699, 'support': 1133.0} | {'precision': 0.9429824561403509, 'recall': 0.9499263622974963, 'f1-score': 0.946441672780631, 'support': 18333.0} | {'precision': 0.9021180341353074, 'recall': 0.8891366031617349, 'f1-score': 0.8955802796774524, 'support': 9868.0} | 0.9262 | {'precision': 0.9015832043608919, 'recall': 0.9013410826317473, 'f1-score': 0.9014394922917178, 'support': 29334.0} | {'precision': 0.9260169286632788, 'recall': 0.9261948592077452, 'f1-score': 0.926081794133393, 'support': 29334.0} | | 0.1596 | 9.0 | 729 | 0.4179 | {'precision': 0.8520408163265306, 'recall': 0.884377758164166, 'f1-score': 0.8679081853616285, 'support': 1133.0} | {'precision': 0.9287558623596985, 'recall': 0.9613811160202913, 'f1-score': 0.9447869203966764, 'support': 18333.0} | {'precision': 0.9209236466615837, 'recall': 0.8568098905553304, 'f1-score': 0.887710640978529, 'support': 9868.0} | 0.9232 | {'precision': 0.9005734417826042, 'recall': 0.9008562549132626, 'f1-score': 0.900135248912278, 'support': 29334.0} | {'precision': 0.9231580423670424, 'recall': 0.923229017522329, 'f1-score': 0.9226170038461553, 'support': 29334.0} | | 0.1596 | 10.0 | 810 | 0.5158 | {'precision': 0.822257806244996, 'recall': 0.9064430714916152, 'f1-score': 0.8623005877413936, 'support': 1133.0} | {'precision': 0.9124053998772755, 'recall': 0.9732722413134784, 'f1-score': 0.9418564754942067, 'support': 18333.0} | {'precision': 0.9440731621526557, 'recall': 0.8159708147547629, 'f1-score': 0.8753601130619123, 'support': 9868.0} | 0.9178 | {'precision': 0.8929121227583091, 'recall': 0.8985620425199521, 'f1-score': 0.8931723920991709, 'support': 29334.0} | {'precision': 0.9195766092093843, 'recall': 0.9177745960319084, 'f1-score': 0.9164142267280712, 'support': 29334.0} | | 0.1596 | 11.0 | 891 | 0.4279 | {'precision': 0.8556611927398444, 'recall': 0.8737864077669902, 'f1-score': 0.8646288209606986, 'support': 1133.0} | {'precision': 0.9373558594797533, 'recall': 0.9533082419680358, 'f1-score': 0.9452647520147115, 'support': 18333.0} | {'precision': 0.9077843054972723, 'recall': 0.8768747466558573, 'f1-score': 0.8920618556701031, 'support': 9868.0} | 0.9245 | {'precision': 0.9002671192389567, 'recall': 0.9013231321302945, 'f1-score': 0.9006518095485044, 'support': 29334.0} | {'precision': 0.9242525611871427, 'recall': 0.924524442626304, 'f1-score': 0.9242527287307136, 'support': 29334.0} | | 0.1596 | 12.0 | 972 | 0.4510 | {'precision': 0.842237061769616, 'recall': 0.8905560458958517, 'f1-score': 0.8657228657228657, 'support': 1133.0} | {'precision': 0.9381618860092598, 'recall': 0.9615993018054874, 'f1-score': 0.9497360198254499, 'support': 18333.0} | {'precision': 0.9247726056714821, 'recall': 0.8757600324280502, 'f1-score': 0.8995992296882319, 'support': 9868.0} | 0.9300 | {'precision': 0.9017238511501193, 'recall': 0.9093051267097964, 'f1-score': 0.9050193717455158, 'support': 29334.0} | {'precision': 0.9299527006190401, 'recall': 0.9299788641167246, 'f1-score': 0.9296249968257807, 'support': 29334.0} | | 0.0211 | 13.0 | 1053 | 0.4814 | {'precision': 0.856898029134533, 'recall': 0.8826125330979699, 'f1-score': 0.8695652173913043, 'support': 1133.0} | {'precision': 0.9383210509452099, 'recall': 0.958435607920144, 'f1-score': 0.9482716748967862, 'support': 18333.0} | {'precision': 0.9175934752674505, 'recall': 0.877888123226591, 'f1-score': 0.8973017763737118, 'support': 9868.0} | 0.9284 | {'precision': 0.9042708517823977, 'recall': 0.9063120880815684, 'f1-score': 0.9050462228872674, 'support': 29334.0} | {'precision': 0.9282033717845217, 'recall': 0.9284107179382287, 'f1-score': 0.9280853595296557, 'support': 29334.0} | | 0.0211 | 14.0 | 1134 | 0.4911 | {'precision': 0.8470688190314358, 'recall': 0.8799646954986761, 'f1-score': 0.8632034632034632, 'support': 1133.0} | {'precision': 0.9397603195739015, 'recall': 0.9624174984999727, 'f1-score': 0.9509539721892853, 'support': 18333.0} | {'precision': 0.925708804092944, 'recall': 0.8801175516822051, 'f1-score': 0.9023376623376623, 'support': 9868.0} | 0.9315 | {'precision': 0.9041793142327604, 'recall': 0.9074999152269513, 'f1-score': 0.905498365910137, 'support': 29334.0} | {'precision': 0.9314532416138313, 'recall': 0.9315470102952206, 'f1-score': 0.9312100889037889, 'support': 29334.0} | | 0.0211 | 15.0 | 1215 | 0.4775 | {'precision': 0.8397009966777409, 'recall': 0.8923212709620476, 'f1-score': 0.865211810012837, 'support': 1133.0} | {'precision': 0.9259123897039628, 'recall': 0.9673266786668848, 'f1-score': 0.9461665688523716, 'support': 18333.0} | {'precision': 0.9330511306672608, 'recall': 0.8488042156465343, 'f1-score': 0.8889360573096311, 'support': 9868.0} | 0.9246 | {'precision': 0.8995548390163215, 'recall': 0.9028173884251555, 'f1-score': 0.9001048120582799, 'support': 29334.0} | {'precision': 0.9249840331050372, 'recall': 0.9245585327606191, 'f1-score': 0.9237873355507777, 'support': 29334.0} | | 0.0211 | 16.0 | 1296 | 0.5006 | {'precision': 0.8545611015490534, 'recall': 0.8764342453662842, 'f1-score': 0.865359477124183, 'support': 1133.0} | {'precision': 0.9472161572052402, 'recall': 0.9465444826269569, 'f1-score': 0.9468802008021172, 'support': 18333.0} | {'precision': 0.8979902557856273, 'recall': 0.8965342521280908, 'f1-score': 0.897261663286004, 'support': 9868.0} | 0.9270 | {'precision': 0.8999225048466403, 'recall': 0.9065043267071107, 'f1-score': 0.9031671137374347, 'support': 29334.0} | {'precision': 0.9270777726253262, 'recall': 0.9270130224313083, 'f1-score': 0.9270397866705257, 'support': 29334.0} | | 0.0211 | 17.0 | 1377 | 0.5324 | {'precision': 0.8460891505466779, 'recall': 0.8879082082965578, 'f1-score': 0.8664944013781224, 'support': 1133.0} | {'precision': 0.9300636741567121, 'recall': 0.9640538918889434, 'f1-score': 0.9467538032997642, 'support': 18333.0} | {'precision': 0.9267118792386786, 'recall': 0.8585326307255776, 'f1-score': 0.8913203577064702, 'support': 9868.0} | 0.9256 | {'precision': 0.9009549013140229, 'recall': 0.9034982436370264, 'f1-score': 0.901522854128119, 'support': 29334.0} | {'precision': 0.9256926832416877, 'recall': 0.9256153269243881, 'f1-score': 0.9250059631316369, 'support': 29334.0} | | 0.0211 | 18.0 | 1458 | 0.5886 | {'precision': 0.8499142367066895, 'recall': 0.8746690203000883, 'f1-score': 0.8621139625924314, 'support': 1133.0} | {'precision': 0.9357597135374913, 'recall': 0.9550537282496045, 'f1-score': 0.945308282042976, 'support': 18333.0} | {'precision': 0.910013746431215, 'recall': 0.872111876773409, 'f1-score': 0.8906597671410089, 'support': 9868.0} | 0.9240 | {'precision': 0.8985625655584654, 'recall': 0.9006115417743672, 'f1-score': 0.8993606705921388, 'support': 29334.0} | {'precision': 0.9237830268035296, 'recall': 0.9240471807458921, 'f1-score': 0.9237111350807452, 'support': 29334.0} | | 0.0054 | 19.0 | 1539 | 0.5662 | {'precision': 0.8524871355060034, 'recall': 0.8773168578993822, 'f1-score': 0.8647237929534581, 'support': 1133.0} | {'precision': 0.9394004397490213, 'recall': 0.9554900998199968, 'f1-score': 0.9473769605191995, 'support': 18333.0} | {'precision': 0.9122991282428317, 'recall': 0.8802188893392785, 'f1-score': 0.8959719428541957, 'support': 9868.0} | 0.9271 | {'precision': 0.9013955678326188, 'recall': 0.9043419490195524, 'f1-score': 0.9026908987756178, 'support': 29334.0} | {'precision': 0.9269265693034491, 'recall': 0.9271493829685689, 'f1-score': 0.9268918322322205, 'support': 29334.0} | | 0.0054 | 20.0 | 1620 | 0.5481 | {'precision': 0.8527397260273972, 'recall': 0.8790820829655781, 'f1-score': 0.8657105606258149, 'support': 1133.0} | {'precision': 0.9360140418062869, 'recall': 0.9599083619702177, 'f1-score': 0.9478106317660365, 'support': 18333.0} | {'precision': 0.9194874532835025, 'recall': 0.8726185650587759, 'f1-score': 0.8954401289450424, 'support': 9868.0} | 0.9274 | {'precision': 0.9027470737057288, 'recall': 0.9038696699981905, 'f1-score': 0.902987107112298, 'support': 29334.0} | {'precision': 0.9272380761923127, 'recall': 0.9274221040430899, 'f1-score': 0.9270220757409653, 'support': 29334.0} | | 0.0054 | 21.0 | 1701 | 0.5435 | {'precision': 0.851027397260274, 'recall': 0.8773168578993822, 'f1-score': 0.8639721860060844, 'support': 1133.0} | {'precision': 0.9310981074384522, 'recall': 0.9633993345333551, 'f1-score': 0.9469733526352474, 'support': 18333.0} | {'precision': 0.9250842666086767, 'recall': 0.8621807863802189, 'f1-score': 0.8925255704169944, 'support': 9868.0} | 0.9260 | {'precision': 0.9024032571024675, 'recall': 0.9009656596043186, 'f1-score': 0.9011570363527754, 'support': 29334.0} | {'precision': 0.925982381797895, 'recall': 0.9260244085361696, 'f1-score': 0.9254511927961336, 'support': 29334.0} | | 0.0054 | 22.0 | 1782 | 0.5495 | {'precision': 0.8664323374340949, 'recall': 0.8702559576345984, 'f1-score': 0.8683399383531484, 'support': 1133.0} | {'precision': 0.954357075758413, 'recall': 0.9420716740304369, 'f1-score': 0.9481745813889652, 'support': 18333.0} | {'precision': 0.8916724428161205, 'recall': 0.912545601945683, 'f1-score': 0.9019882806630942, 'support': 9868.0} | 0.9294 | {'precision': 0.9041539520028761, 'recall': 0.9082910778702393, 'f1-score': 0.9061676001350693, 'support': 29334.0} | {'precision': 0.9298738587952988, 'recall': 0.9293652416990523, 'f1-score': 0.9295539000593656, 'support': 29334.0} | | 0.0054 | 23.0 | 1863 | 0.5612 | {'precision': 0.8410981697171381, 'recall': 0.8923212709620476, 'f1-score': 0.8659528907922912, 'support': 1133.0} | {'precision': 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0.9295293537232939, 'recall': 0.9297402331765187, 'f1-score': 0.9295299990681146, 'support': 29334.0} | | 0.003 | 25.0 | 2025 | 0.5901 | {'precision': 0.8486897717666948, 'recall': 0.8861429832303619, 'f1-score': 0.8670120898100172, 'support': 1133.0} | {'precision': 0.9339209373515596, 'recall': 0.9651993672612229, 'f1-score': 0.9493025751072961, 'support': 18333.0} | {'precision': 0.9293785310734464, 'recall': 0.8668423186055938, 'f1-score': 0.8970218120805369, 'support': 9868.0} | 0.9291 | {'precision': 0.9039964133972336, 'recall': 0.9060615563657262, 'f1-score': 0.9044454923326167, 'support': 29334.0} | {'precision': 0.9291008863608976, 'recall': 0.9290584304902161, 'f1-score': 0.9285368530990505, 'support': 29334.0} | | 0.003 | 26.0 | 2106 | 0.5823 | {'precision': 0.8599487617421008, 'recall': 0.8887908208296558, 'f1-score': 0.8741319444444444, 'support': 1133.0} | {'precision': 0.9412236174191825, 'recall': 0.960835651557301, 'f1-score': 0.9509285251565537, 'support': 18333.0} | 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