trainer: training complete at 2024-03-02 15:45:08.282408.

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README.md +31 -31
meta_data/README_s42_e16.md +31 -31
meta_data/meta_s42_e16_cvi2.json +1 -1
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok_full_labels
-      split: train[20%:40%]
       args: sep_tok_full_labels
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9077361788243952
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,17 +32,17 @@ should probably proofread and complete it, then remove this comment. -->
 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: 0.4608
-- B-claim: {'precision': 0.6925795053003534, 'recall': 0.6644067796610169, 'f1-score': 0.6782006920415224, 'support': 295.0}
-- B-majorclaim: {'precision': 0.8695652173913043, 'recall': 0.8974358974358975, 'f1-score': 0.8832807570977917, 'support': 156.0}
-- B-premise: {'precision': 0.8910081743869209, 'recall': 0.8995873452544704, 'f1-score': 0.8952772073921971, 'support': 727.0}
-- I-claim: {'precision': 0.676610348468849, 'recall': 0.6186338402124064, 'f1-score': 0.6463245492371706, 'support': 4143.0}
-- I-majorclaim: {'precision': 0.8776665215498476, 'recall': 0.9192886456908345, 'f1-score': 0.8979955456570156, 'support': 2193.0}
-- I-premise: {'precision': 0.8973858759266484, 'recall': 0.9153864522805063, 'f1-score': 0.9062967924974388, 'support': 12563.0}
-- O: {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}
-- Accuracy: 0.9077
-- Macro avg: {'precision': 0.8435450918605606, 'recall': 0.8449513128962123, 'f1-score': 0.8439050938859181, 'support': 32613.0}
-- Weighted avg: {'precision': 0.905329291555137, 'recall': 0.9077361788243952, 'f1-score': 0.9062969047726682, 'support': 32613.0}
 ## Model description
@@ -71,24 +71,24 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                             | B-majorclaim                                                                                                        | B-premise                                                                                                         | I-claim                                                                                                              | I-majorclaim                                                                                                         | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 41   | 0.3923          | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 295.0}                                                | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 156.0}                                                | {'precision': 0.6495726495726496, 'recall': 0.9408528198074277, 'f1-score': 0.7685393258426967, 'support': 727.0} | {'precision': 0.44782608695652176, 'recall': 0.44750181028240404, 'f1-score': 0.4476638898949656, 'support': 4143.0} | {'precision': 0.7828638497652582, 'recall': 0.30414956680346555, 'f1-score': 0.43809523809523815, 'support': 2193.0} | {'precision': 0.8367610175564314, 'recall': 0.9294754437634323, 'f1-score': 0.880684817859567, 'support': 12563.0}  | {'precision': 0.9927852215967652, 'recall': 0.9988832163369495, 'f1-score': 0.9958248836931884, 'support': 12536.0} | 0.8403   | {'precision': 0.5299726893496609, 'recall': 0.5172661224276685, 'f1-score': 0.5044011650550937, 'support': 32613.0} | {'precision': 0.8279577904067057, 'recall': 0.8402784165823445, 'f1-score': 0.8254943289980343, 'support': 32613.0} |
-| No log        | 2.0   | 82   | 0.2783          | {'precision': 0.41228070175438597, 'recall': 0.31864406779661014, 'f1-score': 0.3594646271510516, 'support': 295.0} | {'precision': 0.8235294117647058, 'recall': 0.08974358974358974, 'f1-score': 0.16184971098265896, 'support': 156.0} | {'precision': 0.7775330396475771, 'recall': 0.9711141678129298, 'f1-score': 0.8636085626911314, 'support': 727.0} | {'precision': 0.6230799527372981, 'recall': 0.3818489017620082, 'f1-score': 0.4735109248727926, 'support': 4143.0}   | {'precision': 0.723336853220697, 'recall': 0.9370725034199726, 'f1-score': 0.8164481525625746, 'support': 2193.0}    | {'precision': 0.8617099822799764, 'recall': 0.9289978508318076, 'f1-score': 0.8940897077412188, 'support': 12563.0} | {'precision': 0.9996809189534142, 'recall': 0.9996809189534142, 'f1-score': 0.9996809189534142, 'support': 12536.0} | 0.8786   | {'precision': 0.7458786943368649, 'recall': 0.6610145714743332, 'f1-score': 0.6526646578506917, 'support': 32613.0} | {'precision': 0.8690007170687635, 'recall': 0.8786066905835096, 'f1-score': 0.8670103824753915, 'support': 32613.0} |
-| No log        | 3.0   | 123  | 0.2602          | {'precision': 0.6495726495726496, 'recall': 0.5152542372881356, 'f1-score': 0.5746691871455576, 'support': 295.0}   | {'precision': 0.8731343283582089, 'recall': 0.75, 'f1-score': 0.8068965517241379, 'support': 156.0}                 | {'precision': 0.8384710234278668, 'recall': 0.9353507565337001, 'f1-score': 0.8842652795838752, 'support': 727.0} | {'precision': 0.574010152284264, 'recall': 0.6823557808351436, 'f1-score': 0.6235112483458314, 'support': 4143.0}    | {'precision': 0.9165293794618341, 'recall': 0.7610579115367077, 'f1-score': 0.831589436970603, 'support': 2193.0}    | {'precision': 0.902880658436214, 'recall': 0.8731990766536655, 'f1-score': 0.8877918504430866, 'support': 12563.0}  | {'precision': 0.9998404849258254, 'recall': 1.0, 'f1-score': 0.9999202361011406, 'support': 12536.0}                | 0.8877   | {'precision': 0.8220626680666946, 'recall': 0.7881739661210503, 'f1-score': 0.8012348271877475, 'support': 32613.0} | {'precision': 0.8954209775831015, 'recall': 0.8877134884861865, 'f1-score': 0.8902424175815807, 'support': 32613.0} |
-| No log        | 4.0   | 164  | 0.2385          | {'precision': 0.6535714285714286, 'recall': 0.6203389830508474, 'f1-score': 0.6365217391304347, 'support': 295.0}   | {'precision': 0.8819444444444444, 'recall': 0.8141025641025641, 'f1-score': 0.8466666666666667, 'support': 156.0}   | {'precision': 0.8711819389110226, 'recall': 0.9023383768913342, 'f1-score': 0.8864864864864865, 'support': 727.0} | {'precision': 0.6465724193118165, 'recall': 0.5850832729905865, 'f1-score': 0.614292954891029, 'support': 4143.0}    | {'precision': 0.8839368616527391, 'recall': 0.8682170542635659, 'f1-score': 0.8760064412238326, 'support': 2193.0}   | {'precision': 0.8857428637377857, 'recall': 0.9163416381437555, 'f1-score': 0.9007824726134586, 'support': 12563.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | 0.8997   | {'precision': 0.8318499938041767, 'recall': 0.8152031270632362, 'f1-score': 0.8229652515731297, 'support': 32613.0} | {'precision': 0.8967144035293082, 'recall': 0.899702572593751, 'f1-score': 0.8978921788820236, 'support': 32613.0}  |
-| No log        | 5.0   | 205  | 0.2593          | {'precision': 0.6802973977695167, 'recall': 0.6203389830508474, 'f1-score': 0.648936170212766, 'support': 295.0}    | {'precision': 0.8580246913580247, 'recall': 0.8910256410256411, 'f1-score': 0.8742138364779874, 'support': 156.0}   | {'precision': 0.8780160857908847, 'recall': 0.9009628610729024, 'f1-score': 0.8893414799728445, 'support': 727.0} | {'precision': 0.649321893163576, 'recall': 0.5662563359884142, 'f1-score': 0.6049510056730274, 'support': 4143.0}    | {'precision': 0.86965904186448, 'recall': 0.9188326493388053, 'f1-score': 0.8935698447893569, 'support': 2193.0}     | {'precision': 0.8828835774865074, 'recall': 0.9114861100055719, 'f1-score': 0.8969568793326284, 'support': 12563.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | 0.8992   | {'precision': 0.831171812490427, 'recall': 0.8298432257831688, 'f1-score': 0.8297098880655158, 'support': 32613.0}  | {'precision': 0.8952818368353824, 'recall': 0.8991813080673351, 'f1-score': 0.8967204717697179, 'support': 32613.0} |
-| No log        | 6.0   | 246  | 0.2990          | {'precision': 0.7, 'recall': 0.49830508474576274, 'f1-score': 0.5821782178217821, 'support': 295.0}                 | {'precision': 0.881578947368421, 'recall': 0.8589743589743589, 'f1-score': 0.8701298701298701, 'support': 156.0}    | {'precision': 0.8372093023255814, 'recall': 0.9408528198074277, 'f1-score': 0.8860103626943006, 'support': 727.0} | {'precision': 0.7083027185892726, 'recall': 0.46536326333574707, 'f1-score': 0.5616897305171158, 'support': 4143.0}  | {'precision': 0.8856209150326797, 'recall': 0.8650250797993616, 'f1-score': 0.8752018454440601, 'support': 2193.0}   | {'precision': 0.8575295626157572, 'recall': 0.9582106184828465, 'f1-score': 0.905078756437728, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9996809189534142, 'f1-score': 0.9998404340194671, 'support': 12536.0}                | 0.9003   | {'precision': 0.8386059208473874, 'recall': 0.798058877728417, 'f1-score': 0.8114470310091891, 'support': 32613.0}  | {'precision': 0.8934623065496566, 'recall': 0.9002544997393678, 'f1-score': 0.8923593250011618, 'support': 32613.0} |
-| No log        | 7.0   | 287  | 0.3003          | {'precision': 0.721030042918455, 'recall': 0.5694915254237288, 'f1-score': 0.6363636363636365, 'support': 295.0}    | {'precision': 0.8305084745762712, 'recall': 0.9423076923076923, 'f1-score': 0.8828828828828829, 'support': 156.0}   | {'precision': 0.8709256844850065, 'recall': 0.9188445667125172, 'f1-score': 0.894243641231593, 'support': 727.0}  | {'precision': 0.7183427998663549, 'recall': 0.518947622495776, 'f1-score': 0.6025784753363229, 'support': 4143.0}    | {'precision': 0.8473282442748091, 'recall': 0.9616963064295485, 'f1-score': 0.9008970525416488, 'support': 2193.0}   | {'precision': 0.8777761216276644, 'recall': 0.9375149247791132, 'f1-score': 0.906662561102344, 'support': 12563.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | 0.9063   | {'precision': 0.8379873382497944, 'recall': 0.8355432340211966, 'f1-score': 0.8319468927797755, 'support': 32613.0} | {'precision': 0.9006596336695415, 'recall': 0.9062643731027504, 'f1-score': 0.9006875707326324, 'support': 32613.0} |
-| No log        | 8.0   | 328  | 0.3180          | {'precision': 0.6771929824561403, 'recall': 0.6542372881355932, 'f1-score': 0.6655172413793103, 'support': 295.0}   | {'precision': 0.8597560975609756, 'recall': 0.9038461538461539, 'f1-score': 0.8812500000000001, 'support': 156.0}   | {'precision': 0.887517146776406, 'recall': 0.889958734525447, 'f1-score': 0.8887362637362637, 'support': 727.0}   | {'precision': 0.6617380025940337, 'recall': 0.6157373883659184, 'f1-score': 0.6379094773693423, 'support': 4143.0}   | {'precision': 0.8641025641025641, 'recall': 0.9220246238030095, 'f1-score': 0.8921244209133025, 'support': 2193.0}   | {'precision': 0.8975206611570248, 'recall': 0.907665366552575, 'f1-score': 0.90256450846921, 'support': 12563.0}    | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9043   | {'precision': 0.8354039220924492, 'recall': 0.8419128264238643, 'f1-score': 0.838294575020817, 'support': 32613.0}  | {'precision': 0.9023158979759675, 'recall': 0.9043019654738907, 'f1-score': 0.9031251209549119, 'support': 32613.0} |
-| No log        | 9.0   | 369  | 0.3129          | {'precision': 0.6677524429967426, 'recall': 0.6949152542372882, 'f1-score': 0.6810631229235881, 'support': 295.0}   | {'precision': 0.8633540372670807, 'recall': 0.8910256410256411, 'f1-score': 0.8769716088328077, 'support': 156.0}   | {'precision': 0.90014064697609, 'recall': 0.8803301237964236, 'f1-score': 0.890125173852573, 'support': 727.0}    | {'precision': 0.6657534246575343, 'recall': 0.6451846488052136, 'f1-score': 0.6553076734493749, 'support': 4143.0}   | {'precision': 0.8847682119205298, 'recall': 0.9138166894664843, 'f1-score': 0.8990578734858681, 'support': 2193.0}   | {'precision': 0.9023926477578831, 'recall': 0.9066305818673883, 'f1-score': 0.9045066507841969, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9996809189534142, 'f1-score': 0.9998404340194671, 'support': 12536.0}                | 0.9071   | {'precision': 0.84059448736798, 'recall': 0.8473691225931219, 'f1-score': 0.8438389339068395, 'support': 32613.0}   | {'precision': 0.9063055962876612, 'recall': 0.9070922638211756, 'f1-score': 0.9066547860042428, 'support': 32613.0} |
-| No log        | 10.0  | 410  | 0.3630          | {'precision': 0.7007575757575758, 'recall': 0.6271186440677966, 'f1-score': 0.6618962432915921, 'support': 295.0}   | {'precision': 0.8734177215189873, 'recall': 0.8846153846153846, 'f1-score': 0.8789808917197452, 'support': 156.0}   | {'precision': 0.8758256274768824, 'recall': 0.9119669876203577, 'f1-score': 0.8935309973045822, 'support': 727.0} | {'precision': 0.6893039049235993, 'recall': 0.5879797248370746, 'f1-score': 0.6346228995701445, 'support': 4143.0}   | {'precision': 0.9015801354401806, 'recall': 0.9106247150022799, 'f1-score': 0.9060798548094374, 'support': 2193.0}   | {'precision': 0.8848669201520912, 'recall': 0.9262118920639975, 'f1-score': 0.905067475596002, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9073   | {'precision': 0.8465359836099023, 'recall': 0.8354910825636063, 'f1-score': 0.8400197822242561, 'support': 32613.0} | {'precision': 0.9034813207484944, 'recall': 0.9073069021555822, 'f1-score': 0.9046734712048922, 'support': 32613.0} |
-| No log        | 11.0  | 451  | 0.3973          | {'precision': 0.6968503937007874, 'recall': 0.6, 'f1-score': 0.644808743169399, 'support': 295.0}                   | {'precision': 0.8774193548387097, 'recall': 0.8717948717948718, 'f1-score': 0.8745980707395499, 'support': 156.0}   | {'precision': 0.8686605981794538, 'recall': 0.9188445667125172, 'f1-score': 0.893048128342246, 'support': 727.0}  | {'precision': 0.6898395721925134, 'recall': 0.560463432295438, 'f1-score': 0.6184578505793047, 'support': 4143.0}    | {'precision': 0.8931159420289855, 'recall': 0.8992248062015504, 'f1-score': 0.8961599636446262, 'support': 2193.0}   | {'precision': 0.8803091700435239, 'recall': 0.9337737801480538, 'f1-score': 0.9062536212290934, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9058   | {'precision': 0.8437421472834249, 'recall': 0.8262888124129694, 'f1-score': 0.8333266415689298, 'support': 32613.0} | {'precision': 0.9010485773186452, 'recall': 0.9058044338147364, 'f1-score': 0.9022235233298261, 'support': 32613.0} |
-| No log        | 12.0  | 492  | 0.4515          | {'precision': 0.684, 'recall': 0.5796610169491525, 'f1-score': 0.6275229357798164, 'support': 295.0}                | {'precision': 0.8986486486486487, 'recall': 0.8525641025641025, 'f1-score': 0.875, 'support': 156.0}                | {'precision': 0.8576923076923076, 'recall': 0.9202200825309491, 'f1-score': 0.8878566688785666, 'support': 727.0} | {'precision': 0.6694711538461539, 'recall': 0.5377745594979484, 'f1-score': 0.596439566323116, 'support': 4143.0}    | {'precision': 0.9144385026737968, 'recall': 0.8577291381668947, 'f1-score': 0.8851764705882353, 'support': 2193.0}   | {'precision': 0.8705882352941177, 'recall': 0.9365597389158641, 'f1-score': 0.9023698136360152, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9010   | {'precision': 0.8421198354507179, 'recall': 0.812061266909038, 'f1-score': 0.8249036526405771, 'support': 32613.0}  | {'precision': 0.8958910288421719, 'recall': 0.9009597399809892, 'f1-score': 0.896921599864236, 'support': 32613.0}  |
-| 0.2012        | 13.0  | 533  | 0.4265          | {'precision': 0.6790540540540541, 'recall': 0.6813559322033899, 'f1-score': 0.6802030456852792, 'support': 295.0}   | {'precision': 0.8580246913580247, 'recall': 0.8910256410256411, 'f1-score': 0.8742138364779874, 'support': 156.0}   | {'precision': 0.8972222222222223, 'recall': 0.8885832187070152, 'f1-score': 0.8928818244644092, 'support': 727.0} | {'precision': 0.6771552826809926, 'recall': 0.6389090031378228, 'f1-score': 0.6574764033780427, 'support': 4143.0}   | {'precision': 0.8695652173913043, 'recall': 0.9211126310989513, 'f1-score': 0.8945969884853854, 'support': 2193.0}   | {'precision': 0.9036154089043259, 'recall': 0.9111677147178222, 'f1-score': 0.9073758471721296, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9087   | {'precision': 0.8406624109444177, 'recall': 0.8474391958041423, 'f1-score': 0.8438154369916461, 'support': 32613.0} | {'precision': 0.9072144418883538, 'recall': 0.908686720019624, 'f1-score': 0.9078220656295689, 'support': 32613.0}  |
-| 0.2012        | 14.0  | 574  | 0.4540          | {'precision': 0.6824817518248175, 'recall': 0.6338983050847458, 'f1-score': 0.657293497363796, 'support': 295.0}    | {'precision': 0.8717948717948718, 'recall': 0.8717948717948718, 'f1-score': 0.8717948717948718, 'support': 156.0}   | {'precision': 0.8796791443850267, 'recall': 0.9050894085281981, 'f1-score': 0.8922033898305085, 'support': 727.0} | {'precision': 0.6663084363245567, 'recall': 0.5986000482741974, 'f1-score': 0.6306420851875397, 'support': 4143.0}   | {'precision': 0.8915939366100137, 'recall': 0.8850889192886456, 'f1-score': 0.8883295194508009, 'support': 2193.0}   | {'precision': 0.8894700407660949, 'recall': 0.9204807768845021, 'f1-score': 0.904709748083242, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9046   | {'precision': 0.8401897402436259, 'recall': 0.8306960799419306, 'f1-score': 0.8349904607127213, 'support': 32613.0} | {'precision': 0.9015745969882895, 'recall': 0.9045779290466992, 'f1-score': 0.9027307756552017, 'support': 32613.0} |
-| 0.2012        | 15.0  | 615  | 0.4659          | {'precision': 0.6966292134831461, 'recall': 0.6305084745762712, 'f1-score': 0.6619217081850534, 'support': 295.0}   | {'precision': 0.879746835443038, 'recall': 0.8910256410256411, 'f1-score': 0.8853503184713376, 'support': 156.0}    | {'precision': 0.8779840848806366, 'recall': 0.9105914718019257, 'f1-score': 0.8939905469277516, 'support': 727.0} | {'precision': 0.679945054945055, 'recall': 0.5973931933381608, 'f1-score': 0.6360015418219197, 'support': 4143.0}    | {'precision': 0.8921480144404332, 'recall': 0.9015047879616963, 'f1-score': 0.8968019959174417, 'support': 2193.0}   | {'precision': 0.8896810794234897, 'recall': 0.923744328583937, 'f1-score': 0.9063927832233375, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9998404594767071, 'f1-score': 0.9999202233745512, 'support': 12536.0}                | 0.9069   | {'precision': 0.8451620403736856, 'recall': 0.8363726223949056, 'f1-score': 0.8400541597030561, 'support': 32613.0} | {'precision': 0.9035537029134824, 'recall': 0.906938950725171, 'f1-score': 0.9047608714894649, 'support': 32613.0}  |
-| 0.2012        | 16.0  | 656  | 0.4608          | {'precision': 0.6925795053003534, 'recall': 0.6644067796610169, 'f1-score': 0.6782006920415224, 'support': 295.0}   | {'precision': 0.8695652173913043, 'recall': 0.8974358974358975, 'f1-score': 0.8832807570977917, 'support': 156.0}   | {'precision': 0.8910081743869209, 'recall': 0.8995873452544704, 'f1-score': 0.8952772073921971, 'support': 727.0} | {'precision': 0.676610348468849, 'recall': 0.6186338402124064, 'f1-score': 0.6463245492371706, 'support': 4143.0}    | {'precision': 0.8776665215498476, 'recall': 0.9192886456908345, 'f1-score': 0.8979955456570156, 'support': 2193.0}   | {'precision': 0.8973858759266484, 'recall': 0.9153864522805063, 'f1-score': 0.9062967924974388, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9077   | {'precision': 0.8435450918605606, 'recall': 0.8449513128962123, 'f1-score': 0.8439050938859181, 'support': 32613.0} | {'precision': 0.905329291555137, 'recall': 0.9077361788243952, 'f1-score': 0.9062969047726682, 'support': 32613.0}  |
 ### Framework versions

       name: essays_su_g
       type: essays_su_g
       config: sep_tok_full_labels
+      split: train[40%:60%]
       args: sep_tok_full_labels
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9046282877493756
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 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: 0.4607
+- B-claim: {'precision': 0.6819672131147541, 'recall': 0.6561514195583596, 'f1-score': 0.6688102893890675, 'support': 317.0}
+- B-majorclaim: {'precision': 0.8853503184713376, 'recall': 0.896774193548387, 'f1-score': 0.8910256410256411, 'support': 155.0}
+- B-premise: {'precision': 0.8817204301075269, 'recall': 0.8967193195625759, 'f1-score': 0.8891566265060241, 'support': 823.0}
+- I-claim: {'precision': 0.6920813924981614, 'recall': 0.6498618784530387, 'f1-score': 0.6703074913926155, 'support': 4344.0}
+- I-majorclaim: {'precision': 0.8773408239700374, 'recall': 0.8864711447492905, 'f1-score': 0.8818823529411765, 'support': 2114.0}
+- I-premise: {'precision': 0.9018829810259, 'recall': 0.9187183067538767, 'f1-score': 0.9102228047182176, 'support': 13607.0}
+- O: {'precision': 0.9999095513748191, 'recall': 0.9985547827657845, 'f1-score': 0.9992317078682154, 'support': 11071.0}
+- Accuracy: 0.9046
+- Macro avg: {'precision': 0.8457503872232196, 'recall': 0.8433215779130447, 'f1-score': 0.8443767019772797, 'support': 32431.0}
+- Weighted avg: {'precision': 0.9029042970267227, 'recall': 0.9046282877493756, 'f1-score': 0.9036387628518002, 'support': 32431.0}
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                           | B-majorclaim                                                                                                       | B-premise                                                                                                         | I-claim                                                                                                             | I-majorclaim                                                                                                        | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 41   | 0.4118          | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 317.0}                                              | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 155.0}                                               | {'precision': 0.6759259259259259, 'recall': 0.9756986634264885, 'f1-score': 0.798607657881651, 'support': 823.0}  | {'precision': 0.5029573299535277, 'recall': 0.5481123388581952, 'f1-score': 0.5245648821326283, 'support': 4344.0}  | {'precision': 0.6704953338119167, 'recall': 0.44181646168401134, 'f1-score': 0.5326489877388081, 'support': 2114.0} | {'precision': 0.8756645636917842, 'recall': 0.9078415521422797, 'f1-score': 0.8914627985855524, 'support': 13607.0} | {'precision': 0.9967299482241803, 'recall': 0.9911480444404299, 'f1-score': 0.9939311594202898, 'support': 11071.0} | 0.8462   | {'precision': 0.5316818716581907, 'recall': 0.5520881515073436, 'f1-score': 0.5344593551084185, 'support': 32431.0} | {'precision': 0.835883129998383, 'recall': 0.8462273750423978, 'f1-score': 0.8385782145723601, 'support': 32431.0}  |
+| No log        | 2.0   | 82   | 0.3001          | {'precision': 0.43, 'recall': 0.27129337539432175, 'f1-score': 0.3326885880077369, 'support': 317.0}              | {'precision': 0.896551724137931, 'recall': 0.16774193548387098, 'f1-score': 0.28260869565217395, 'support': 155.0} | {'precision': 0.76981852913085, 'recall': 0.9793438639125152, 'f1-score': 0.8620320855614974, 'support': 823.0}   | {'precision': 0.6927835051546392, 'recall': 0.46408839779005523, 'f1-score': 0.5558312655086849, 'support': 4344.0} | {'precision': 0.7640091116173121, 'recall': 0.793282876064333, 'f1-score': 0.7783708517057322, 'support': 2114.0}   | {'precision': 0.8649596400688103, 'recall': 0.9607554934959948, 'f1-score': 0.9103443473416662, 'support': 13607.0} | {'precision': 0.9998171177761521, 'recall': 0.9876253274320296, 'f1-score': 0.9936838278729495, 'support': 11071.0} | 0.8824   | {'precision': 0.773991375412242, 'recall': 0.6605901813675886, 'f1-score': 0.6736513802357773, 'support': 32431.0}  | {'precision': 0.8748383987044155, 'recall': 0.8824273072060683, 'f1-score': 0.8728332529732901, 'support': 32431.0} |
+| No log        | 3.0   | 123  | 0.2602          | {'precision': 0.6417322834645669, 'recall': 0.5141955835962145, 'f1-score': 0.5709281961471102, 'support': 317.0} | {'precision': 0.8357142857142857, 'recall': 0.7548387096774194, 'f1-score': 0.7932203389830508, 'support': 155.0}  | {'precision': 0.8512304250559284, 'recall': 0.9246658566221142, 'f1-score': 0.8864298194525335, 'support': 823.0} | {'precision': 0.669375175119081, 'recall': 0.5499539594843462, 'f1-score': 0.6038165044862884, 'support': 4344.0}   | {'precision': 0.7790169351507642, 'recall': 0.8921475875118259, 'f1-score': 0.831753031973539, 'support': 2114.0}   | {'precision': 0.890888479523877, 'recall': 0.9240831924744617, 'f1-score': 0.9071822805815085, 'support': 13607.0}  | {'precision': 0.9996376483377117, 'recall': 0.9967482612230151, 'f1-score': 0.9981908638625057, 'support': 11071.0} | 0.8919   | {'precision': 0.8096564617666021, 'recall': 0.7938047357984852, 'f1-score': 0.7987887193552196, 'support': 32431.0} | {'precision': 0.8873436833652745, 'recall': 0.8918935586321729, 'f1-score': 0.8883404854276872, 'support': 32431.0} |
+| No log        | 4.0   | 164  | 0.2530          | {'precision': 0.6433333333333333, 'recall': 0.6088328075709779, 'f1-score': 0.6256077795786061, 'support': 317.0} | {'precision': 0.8284023668639053, 'recall': 0.9032258064516129, 'f1-score': 0.8641975308641976, 'support': 155.0}  | {'precision': 0.8792270531400966, 'recall': 0.8845686512758202, 'f1-score': 0.8818897637795277, 'support': 823.0} | {'precision': 0.6606835505286452, 'recall': 0.6185543278084714, 'f1-score': 0.6389252169777673, 'support': 4344.0}  | {'precision': 0.8184976118106817, 'recall': 0.8916745506149479, 'f1-score': 0.8535204890196967, 'support': 2114.0}  | {'precision': 0.9034563220067084, 'recall': 0.9105607407951789, 'f1-score': 0.9069946195234434, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9981031523800922, 'f1-score': 0.9990506758283985, 'support': 11071.0}                | 0.8965   | {'precision': 0.8190857482404815, 'recall': 0.830788576699586, 'f1-score': 0.8243122965102339, 'support': 32431.0}  | {'precision': 0.8948409351137605, 'recall': 0.8964570935216305, 'f1-score': 0.8954353191480889, 'support': 32431.0} |
+| No log        | 5.0   | 205  | 0.2600          | {'precision': 0.7109375, 'recall': 0.5741324921135647, 'f1-score': 0.6352530541012217, 'support': 317.0}          | {'precision': 0.8896103896103896, 'recall': 0.8838709677419355, 'f1-score': 0.8867313915857605, 'support': 155.0}  | {'precision': 0.863431151241535, 'recall': 0.9295261239368166, 'f1-score': 0.8952603861907549, 'support': 823.0}  | {'precision': 0.7121212121212122, 'recall': 0.6275322283609577, 'f1-score': 0.667156142927068, 'support': 4344.0}   | {'precision': 0.8813799621928167, 'recall': 0.8822138126773889, 'f1-score': 0.8817966903073287, 'support': 2114.0}  | {'precision': 0.8983086830372939, 'recall': 0.9329021827000809, 'f1-score': 0.9152786790684261, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | 0.9074   | {'precision': 0.8508269854576067, 'recall': 0.8327406029546031, 'f1-score': 0.8401399005471315, 'support': 32431.0} | {'precision': 0.90422246218063, 'recall': 0.907434245012488, 'f1-score': 0.9052313102348954, 'support': 32431.0}    |
+| No log        | 6.0   | 246  | 0.2758          | {'precision': 0.7026022304832714, 'recall': 0.5962145110410094, 'f1-score': 0.6450511945392492, 'support': 317.0} | {'precision': 0.9047619047619048, 'recall': 0.8580645161290322, 'f1-score': 0.880794701986755, 'support': 155.0}   | {'precision': 0.8660612939841089, 'recall': 0.9270959902794653, 'f1-score': 0.8955399061032863, 'support': 823.0} | {'precision': 0.7183248866364363, 'recall': 0.6199355432780848, 'f1-score': 0.6655134066477203, 'support': 4344.0}  | {'precision': 0.8960591133004926, 'recall': 0.8604541154210028, 'f1-score': 0.8778957528957528, 'support': 2114.0}  | {'precision': 0.8941776752638568, 'recall': 0.9401778496362166, 'f1-score': 0.9166009887511642, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9979225002258152, 'f1-score': 0.9989601699896017, 'support': 11071.0}                | 0.9077   | {'precision': 0.8545695863471529, 'recall': 0.8285521465729466, 'f1-score': 0.8400508744162184, 'support': 32431.0} | {'precision': 0.904334721335495, 'recall': 0.9077117572692794, 'f1-score': 0.9052009899846191, 'support': 32431.0}  |
+| No log        | 7.0   | 287  | 0.2923          | {'precision': 0.6936619718309859, 'recall': 0.6214511041009464, 'f1-score': 0.6555740432612313, 'support': 317.0} | {'precision': 0.910958904109589, 'recall': 0.8580645161290322, 'f1-score': 0.883720930232558, 'support': 155.0}    | {'precision': 0.8688147295742232, 'recall': 0.9173754556500607, 'f1-score': 0.892434988179669, 'support': 823.0}  | {'precision': 0.6873800383877159, 'recall': 0.6595303867403315, 'f1-score': 0.6731672932330828, 'support': 4344.0}  | {'precision': 0.9308342133051742, 'recall': 0.8339640491958372, 'f1-score': 0.8797405189620758, 'support': 2114.0}  | {'precision': 0.8992862241256245, 'recall': 0.925920482104799, 'f1-score': 0.912409023427599, 'support': 13607.0}   | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | 0.9057   | {'precision': 0.8558480116190447, 'recall': 0.8307589152960692, 'f1-score': 0.8423642509922252, 'support': 32431.0} | {'precision': 0.9046120706425255, 'recall': 0.9056766673861429, 'f1-score': 0.9048109752434238, 'support': 32431.0} |
+| No log        | 8.0   | 328  | 0.3232          | {'precision': 0.7061224489795919, 'recall': 0.5457413249211357, 'f1-score': 0.6156583629893239, 'support': 317.0} | {'precision': 0.9084967320261438, 'recall': 0.896774193548387, 'f1-score': 0.9025974025974025, 'support': 155.0}   | {'precision': 0.8496659242761693, 'recall': 0.9270959902794653, 'f1-score': 0.8866937826844857, 'support': 823.0} | {'precision': 0.7257503949447077, 'recall': 0.5287753222836096, 'f1-score': 0.6117991743241443, 'support': 4344.0}  | {'precision': 0.8606143970655663, 'recall': 0.8878902554399243, 'f1-score': 0.8740395809080327, 'support': 2114.0}  | {'precision': 0.8743462609522515, 'recall': 0.9460571764532961, 'f1-score': 0.9087892693258031, 'support': 13607.0} | {'precision': 0.9999096331104284, 'recall': 0.9994580435371692, 'f1-score': 0.999683787324389, 'support': 11071.0}  | 0.9000   | {'precision': 0.8464151130506943, 'recall': 0.8188274723518553, 'f1-score': 0.8284659085933688, 'support': 32431.0} | {'precision': 0.8943036149810097, 'recall': 0.8999722487743209, 'f1-score': 0.8943167144432094, 'support': 32431.0} |
+| No log        | 9.0   | 369  | 0.3633          | {'precision': 0.7035573122529645, 'recall': 0.5615141955835962, 'f1-score': 0.6245614035087719, 'support': 317.0} | {'precision': 0.9060402684563759, 'recall': 0.8709677419354839, 'f1-score': 0.8881578947368421, 'support': 155.0}  | {'precision': 0.8547486033519553, 'recall': 0.9295261239368166, 'f1-score': 0.890570430733411, 'support': 823.0}  | {'precision': 0.7197630922693267, 'recall': 0.5315377532228361, 'f1-score': 0.6114936440677966, 'support': 4344.0}  | {'precision': 0.8848780487804878, 'recall': 0.8580889309366131, 'f1-score': 0.8712776176753123, 'support': 2114.0}  | {'precision': 0.8723188992310805, 'recall': 0.9504666715661056, 'f1-score': 0.9097175816832553, 'support': 13607.0} | {'precision': 0.9999095022624435, 'recall': 0.9980128263029536, 'f1-score': 0.9989602640025315, 'support': 11071.0} | 0.8998   | {'precision': 0.8487451038006621, 'recall': 0.8143020347834865, 'f1-score': 0.8278198337725601, 'support': 32431.0} | {'precision': 0.8943247645610162, 'recall': 0.8998489099935247, 'f1-score': 0.8943546419605405, 'support': 32431.0} |
+| No log        | 10.0  | 410  | 0.3689          | {'precision': 0.6383561643835617, 'recall': 0.7350157728706624, 'f1-score': 0.6832844574780059, 'support': 317.0} | {'precision': 0.879746835443038, 'recall': 0.896774193548387, 'f1-score': 0.8881789137380192, 'support': 155.0}    | {'precision': 0.9108527131782945, 'recall': 0.8566221142162819, 'f1-score': 0.8829054477144646, 'support': 823.0} | {'precision': 0.6362704918032787, 'recall': 0.7147790055248618, 'f1-score': 0.6732437120555073, 'support': 4344.0}  | {'precision': 0.8423403305046896, 'recall': 0.8921475875118259, 'f1-score': 0.8665288306914771, 'support': 2114.0}  | {'precision': 0.9262117937635073, 'recall': 0.8818990225619167, 'f1-score': 0.9035124044723865, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9989160870743383, 'f1-score': 0.9994577496610935, 'support': 11071.0}                | 0.8981   | {'precision': 0.8333969041537671, 'recall': 0.8537362547583249, 'f1-score': 0.8424445022587078, 'support': 32431.0} | {'precision': 0.9036718509873083, 'recall': 0.8981221670623786, 'f1-score': 0.9002621798749209, 'support': 32431.0} |
+| No log        | 11.0  | 451  | 0.4103          | {'precision': 0.7154150197628458, 'recall': 0.5709779179810726, 'f1-score': 0.6350877192982457, 'support': 317.0} | {'precision': 0.896774193548387, 'recall': 0.896774193548387, 'f1-score': 0.896774193548387, 'support': 155.0}     | {'precision': 0.8592342342342343, 'recall': 0.9270959902794653, 'f1-score': 0.8918760958503799, 'support': 823.0} | {'precision': 0.706850926198177, 'recall': 0.5534069981583793, 'f1-score': 0.6207876049063913, 'support': 4344.0}   | {'precision': 0.8774740810556079, 'recall': 0.8807947019867549, 'f1-score': 0.8791312559017942, 'support': 2114.0}  | {'precision': 0.8783570300157978, 'recall': 0.9398103917101492, 'f1-score': 0.9080451608322092, 'support': 13607.0} | {'precision': 0.9999095268252963, 'recall': 0.998283804534369, 'f1-score': 0.9990960043391791, 'support': 11071.0}  | 0.9000   | {'precision': 0.8477164302343352, 'recall': 0.8238777140283682, 'f1-score': 0.832971147810941, 'support': 32431.0}  | {'precision': 0.8948314712991845, 'recall': 0.9000339181647189, 'f1-score': 0.8956333147937184, 'support': 32431.0} |
+| No log        | 12.0  | 492  | 0.3971          | {'precision': 0.6933333333333334, 'recall': 0.6561514195583596, 'f1-score': 0.674230145867099, 'support': 317.0}  | {'precision': 0.8805031446540881, 'recall': 0.9032258064516129, 'f1-score': 0.89171974522293, 'support': 155.0}    | {'precision': 0.8843861740166865, 'recall': 0.9015795868772782, 'f1-score': 0.8929001203369434, 'support': 823.0} | {'precision': 0.6998045920859794, 'recall': 0.6595303867403315, 'f1-score': 0.6790708698743778, 'support': 4344.0}  | {'precision': 0.8721144967682364, 'recall': 0.8935666982024598, 'f1-score': 0.8827102803738317, 'support': 2114.0}  | {'precision': 0.9050408620814349, 'recall': 0.919673697361652, 'f1-score': 0.9122986075672522, 'support': 13607.0}  | {'precision': 0.9999094694912185, 'recall': 0.9976515219943998, 'f1-score': 0.9987792196048288, 'support': 11071.0} | 0.9066   | {'precision': 0.8478702960615683, 'recall': 0.8473398738837278, 'f1-score': 0.8473869984067518, 'support': 32431.0} | {'precision': 0.9050786104829543, 'recall': 0.9066325429373131, 'f1-score': 0.9057343159521435, 'support': 32431.0} |
+| 0.1957        | 13.0  | 533  | 0.4370          | {'precision': 0.675, 'recall': 0.6813880126182965, 'f1-score': 0.6781789638932496, 'support': 317.0}              | {'precision': 0.8421052631578947, 'recall': 0.9290322580645162, 'f1-score': 0.8834355828220859, 'support': 155.0}  | {'precision': 0.895910780669145, 'recall': 0.8784933171324423, 'f1-score': 0.8871165644171779, 'support': 823.0}  | {'precision': 0.6602881584871679, 'recall': 0.6751841620626151, 'f1-score': 0.6676530844525382, 'support': 4344.0}  | {'precision': 0.8328358208955224, 'recall': 0.9238410596026491, 'f1-score': 0.8759811616954475, 'support': 2114.0}  | {'precision': 0.9138385130559109, 'recall': 0.8924818108326596, 'f1-score': 0.9030339083878643, 'support': 13607.0} | {'precision': 0.999909559555033, 'recall': 0.9986451088429229, 'f1-score': 0.9992769342010123, 'support': 11071.0}  | 0.8994   | {'precision': 0.8314125851172391, 'recall': 0.8541522470223003, 'f1-score': 0.8420965999813396, 'support': 32431.0} | {'precision': 0.9008461643213939, 'recall': 0.8994172242607382, 'f1-score': 0.8999012883989392, 'support': 32431.0} |
+| 0.1957        | 14.0  | 574  | 0.4532          | {'precision': 0.6666666666666666, 'recall': 0.694006309148265, 'f1-score': 0.6800618238021638, 'support': 317.0}  | {'precision': 0.8875, 'recall': 0.9161290322580645, 'f1-score': 0.9015873015873015, 'support': 155.0}              | {'precision': 0.8948019801980198, 'recall': 0.8784933171324423, 'f1-score': 0.8865726548129982, 'support': 823.0} | {'precision': 0.660063034669068, 'recall': 0.6749539594843462, 'f1-score': 0.6674254495788755, 'support': 4344.0}   | {'precision': 0.8716998610467809, 'recall': 0.8902554399243141, 'f1-score': 0.8808799438333722, 'support': 2114.0}  | {'precision': 0.9096036811637227, 'recall': 0.9007128683765708, 'f1-score': 0.905136442524279, 'support': 13607.0}  | {'precision': 0.9999095677337674, 'recall': 0.9987354349200614, 'f1-score': 0.9993221564462921, 'support': 11071.0} | 0.9007   | {'precision': 0.8414635416397179, 'recall': 0.8504694801777236, 'f1-score': 0.845855110369326, 'support': 32431.0}  | {'precision': 0.9016799144604528, 'recall': 0.9007431161542968, 'f1-score': 0.9011790708421438, 'support': 32431.0} |
+| 0.1957        | 15.0  | 615  | 0.4669          | {'precision': 0.6872964169381107, 'recall': 0.6656151419558359, 'f1-score': 0.6762820512820512, 'support': 317.0} | {'precision': 0.8650306748466258, 'recall': 0.9096774193548387, 'f1-score': 0.8867924528301888, 'support': 155.0}  | {'precision': 0.8890229191797346, 'recall': 0.8955042527339003, 'f1-score': 0.8922518159806295, 'support': 823.0} | {'precision': 0.6812977099236641, 'recall': 0.6574585635359116, 'f1-score': 0.669165885660731, 'support': 4344.0}   | {'precision': 0.8544961590600995, 'recall': 0.8945127719962157, 'f1-score': 0.8740466836145135, 'support': 2114.0}  | {'precision': 0.9068645368813509, 'recall': 0.9116631145733813, 'f1-score': 0.9092574946859194, 'support': 13607.0} | {'precision': 0.9999094858797972, 'recall': 0.9978321741486768, 'f1-score': 0.9988697499886975, 'support': 11071.0} | 0.9031   | {'precision': 0.8405597003870547, 'recall': 0.8474662054712514, 'f1-score': 0.8438094477203901, 'support': 32431.0} | {'precision': 0.9022011157514956, 'recall': 0.9030865529894238, 'f1-score': 0.9025778580304222, 'support': 32431.0} |
+| 0.1957        | 16.0  | 656  | 0.4607          | {'precision': 0.6819672131147541, 'recall': 0.6561514195583596, 'f1-score': 0.6688102893890675, 'support': 317.0} | {'precision': 0.8853503184713376, 'recall': 0.896774193548387, 'f1-score': 0.8910256410256411, 'support': 155.0}   | {'precision': 0.8817204301075269, 'recall': 0.8967193195625759, 'f1-score': 0.8891566265060241, 'support': 823.0} | {'precision': 0.6920813924981614, 'recall': 0.6498618784530387, 'f1-score': 0.6703074913926155, 'support': 4344.0}  | {'precision': 0.8773408239700374, 'recall': 0.8864711447492905, 'f1-score': 0.8818823529411765, 'support': 2114.0}  | {'precision': 0.9018829810259, 'recall': 0.9187183067538767, 'f1-score': 0.9102228047182176, 'support': 13607.0}    | {'precision': 0.9999095513748191, 'recall': 0.9985547827657845, 'f1-score': 0.9992317078682154, 'support': 11071.0} | 0.9046   | {'precision': 0.8457503872232196, 'recall': 0.8433215779130447, 'f1-score': 0.8443767019772797, 'support': 32431.0} | {'precision': 0.9029042970267227, 'recall': 0.9046282877493756, 'f1-score': 0.9036387628518002, 'support': 32431.0} |
 ### Framework versions

meta_data/README_s42_e16.md CHANGED Viewed

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok_full_labels
-      split: train[20%:40%]
       args: sep_tok_full_labels
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9077361788243952
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,17 +32,17 @@ should probably proofread and complete it, then remove this comment. -->
 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: 0.4608
-- B-claim: {'precision': 0.6925795053003534, 'recall': 0.6644067796610169, 'f1-score': 0.6782006920415224, 'support': 295.0}
-- B-majorclaim: {'precision': 0.8695652173913043, 'recall': 0.8974358974358975, 'f1-score': 0.8832807570977917, 'support': 156.0}
-- B-premise: {'precision': 0.8910081743869209, 'recall': 0.8995873452544704, 'f1-score': 0.8952772073921971, 'support': 727.0}
-- I-claim: {'precision': 0.676610348468849, 'recall': 0.6186338402124064, 'f1-score': 0.6463245492371706, 'support': 4143.0}
-- I-majorclaim: {'precision': 0.8776665215498476, 'recall': 0.9192886456908345, 'f1-score': 0.8979955456570156, 'support': 2193.0}
-- I-premise: {'precision': 0.8973858759266484, 'recall': 0.9153864522805063, 'f1-score': 0.9062967924974388, 'support': 12563.0}
-- O: {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}
-- Accuracy: 0.9077
-- Macro avg: {'precision': 0.8435450918605606, 'recall': 0.8449513128962123, 'f1-score': 0.8439050938859181, 'support': 32613.0}
-- Weighted avg: {'precision': 0.905329291555137, 'recall': 0.9077361788243952, 'f1-score': 0.9062969047726682, 'support': 32613.0}
 ## Model description
@@ -71,24 +71,24 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                             | B-majorclaim                                                                                                        | B-premise                                                                                                         | I-claim                                                                                                              | I-majorclaim                                                                                                         | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 41   | 0.3923          | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 295.0}                                                | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 156.0}                                                | {'precision': 0.6495726495726496, 'recall': 0.9408528198074277, 'f1-score': 0.7685393258426967, 'support': 727.0} | {'precision': 0.44782608695652176, 'recall': 0.44750181028240404, 'f1-score': 0.4476638898949656, 'support': 4143.0} | {'precision': 0.7828638497652582, 'recall': 0.30414956680346555, 'f1-score': 0.43809523809523815, 'support': 2193.0} | {'precision': 0.8367610175564314, 'recall': 0.9294754437634323, 'f1-score': 0.880684817859567, 'support': 12563.0}  | {'precision': 0.9927852215967652, 'recall': 0.9988832163369495, 'f1-score': 0.9958248836931884, 'support': 12536.0} | 0.8403   | {'precision': 0.5299726893496609, 'recall': 0.5172661224276685, 'f1-score': 0.5044011650550937, 'support': 32613.0} | {'precision': 0.8279577904067057, 'recall': 0.8402784165823445, 'f1-score': 0.8254943289980343, 'support': 32613.0} |
-| No log        | 2.0   | 82   | 0.2783          | {'precision': 0.41228070175438597, 'recall': 0.31864406779661014, 'f1-score': 0.3594646271510516, 'support': 295.0} | {'precision': 0.8235294117647058, 'recall': 0.08974358974358974, 'f1-score': 0.16184971098265896, 'support': 156.0} | {'precision': 0.7775330396475771, 'recall': 0.9711141678129298, 'f1-score': 0.8636085626911314, 'support': 727.0} | {'precision': 0.6230799527372981, 'recall': 0.3818489017620082, 'f1-score': 0.4735109248727926, 'support': 4143.0}   | {'precision': 0.723336853220697, 'recall': 0.9370725034199726, 'f1-score': 0.8164481525625746, 'support': 2193.0}    | {'precision': 0.8617099822799764, 'recall': 0.9289978508318076, 'f1-score': 0.8940897077412188, 'support': 12563.0} | {'precision': 0.9996809189534142, 'recall': 0.9996809189534142, 'f1-score': 0.9996809189534142, 'support': 12536.0} | 0.8786   | {'precision': 0.7458786943368649, 'recall': 0.6610145714743332, 'f1-score': 0.6526646578506917, 'support': 32613.0} | {'precision': 0.8690007170687635, 'recall': 0.8786066905835096, 'f1-score': 0.8670103824753915, 'support': 32613.0} |
-| No log        | 3.0   | 123  | 0.2602          | {'precision': 0.6495726495726496, 'recall': 0.5152542372881356, 'f1-score': 0.5746691871455576, 'support': 295.0}   | {'precision': 0.8731343283582089, 'recall': 0.75, 'f1-score': 0.8068965517241379, 'support': 156.0}                 | {'precision': 0.8384710234278668, 'recall': 0.9353507565337001, 'f1-score': 0.8842652795838752, 'support': 727.0} | {'precision': 0.574010152284264, 'recall': 0.6823557808351436, 'f1-score': 0.6235112483458314, 'support': 4143.0}    | {'precision': 0.9165293794618341, 'recall': 0.7610579115367077, 'f1-score': 0.831589436970603, 'support': 2193.0}    | {'precision': 0.902880658436214, 'recall': 0.8731990766536655, 'f1-score': 0.8877918504430866, 'support': 12563.0}  | {'precision': 0.9998404849258254, 'recall': 1.0, 'f1-score': 0.9999202361011406, 'support': 12536.0}                | 0.8877   | {'precision': 0.8220626680666946, 'recall': 0.7881739661210503, 'f1-score': 0.8012348271877475, 'support': 32613.0} | {'precision': 0.8954209775831015, 'recall': 0.8877134884861865, 'f1-score': 0.8902424175815807, 'support': 32613.0} |
-| No log        | 4.0   | 164  | 0.2385          | {'precision': 0.6535714285714286, 'recall': 0.6203389830508474, 'f1-score': 0.6365217391304347, 'support': 295.0}   | {'precision': 0.8819444444444444, 'recall': 0.8141025641025641, 'f1-score': 0.8466666666666667, 'support': 156.0}   | {'precision': 0.8711819389110226, 'recall': 0.9023383768913342, 'f1-score': 0.8864864864864865, 'support': 727.0} | {'precision': 0.6465724193118165, 'recall': 0.5850832729905865, 'f1-score': 0.614292954891029, 'support': 4143.0}    | {'precision': 0.8839368616527391, 'recall': 0.8682170542635659, 'f1-score': 0.8760064412238326, 'support': 2193.0}   | {'precision': 0.8857428637377857, 'recall': 0.9163416381437555, 'f1-score': 0.9007824726134586, 'support': 12563.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | 0.8997   | {'precision': 0.8318499938041767, 'recall': 0.8152031270632362, 'f1-score': 0.8229652515731297, 'support': 32613.0} | {'precision': 0.8967144035293082, 'recall': 0.899702572593751, 'f1-score': 0.8978921788820236, 'support': 32613.0}  |
-| No log        | 5.0   | 205  | 0.2593          | {'precision': 0.6802973977695167, 'recall': 0.6203389830508474, 'f1-score': 0.648936170212766, 'support': 295.0}    | {'precision': 0.8580246913580247, 'recall': 0.8910256410256411, 'f1-score': 0.8742138364779874, 'support': 156.0}   | {'precision': 0.8780160857908847, 'recall': 0.9009628610729024, 'f1-score': 0.8893414799728445, 'support': 727.0} | {'precision': 0.649321893163576, 'recall': 0.5662563359884142, 'f1-score': 0.6049510056730274, 'support': 4143.0}    | {'precision': 0.86965904186448, 'recall': 0.9188326493388053, 'f1-score': 0.8935698447893569, 'support': 2193.0}     | {'precision': 0.8828835774865074, 'recall': 0.9114861100055719, 'f1-score': 0.8969568793326284, 'support': 12563.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | 0.8992   | {'precision': 0.831171812490427, 'recall': 0.8298432257831688, 'f1-score': 0.8297098880655158, 'support': 32613.0}  | {'precision': 0.8952818368353824, 'recall': 0.8991813080673351, 'f1-score': 0.8967204717697179, 'support': 32613.0} |
-| No log        | 6.0   | 246  | 0.2990          | {'precision': 0.7, 'recall': 0.49830508474576274, 'f1-score': 0.5821782178217821, 'support': 295.0}                 | {'precision': 0.881578947368421, 'recall': 0.8589743589743589, 'f1-score': 0.8701298701298701, 'support': 156.0}    | {'precision': 0.8372093023255814, 'recall': 0.9408528198074277, 'f1-score': 0.8860103626943006, 'support': 727.0} | {'precision': 0.7083027185892726, 'recall': 0.46536326333574707, 'f1-score': 0.5616897305171158, 'support': 4143.0}  | {'precision': 0.8856209150326797, 'recall': 0.8650250797993616, 'f1-score': 0.8752018454440601, 'support': 2193.0}   | {'precision': 0.8575295626157572, 'recall': 0.9582106184828465, 'f1-score': 0.905078756437728, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9996809189534142, 'f1-score': 0.9998404340194671, 'support': 12536.0}                | 0.9003   | {'precision': 0.8386059208473874, 'recall': 0.798058877728417, 'f1-score': 0.8114470310091891, 'support': 32613.0}  | {'precision': 0.8934623065496566, 'recall': 0.9002544997393678, 'f1-score': 0.8923593250011618, 'support': 32613.0} |
-| No log        | 7.0   | 287  | 0.3003          | {'precision': 0.721030042918455, 'recall': 0.5694915254237288, 'f1-score': 0.6363636363636365, 'support': 295.0}    | {'precision': 0.8305084745762712, 'recall': 0.9423076923076923, 'f1-score': 0.8828828828828829, 'support': 156.0}   | {'precision': 0.8709256844850065, 'recall': 0.9188445667125172, 'f1-score': 0.894243641231593, 'support': 727.0}  | {'precision': 0.7183427998663549, 'recall': 0.518947622495776, 'f1-score': 0.6025784753363229, 'support': 4143.0}    | {'precision': 0.8473282442748091, 'recall': 0.9616963064295485, 'f1-score': 0.9008970525416488, 'support': 2193.0}   | {'precision': 0.8777761216276644, 'recall': 0.9375149247791132, 'f1-score': 0.906662561102344, 'support': 12563.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | 0.9063   | {'precision': 0.8379873382497944, 'recall': 0.8355432340211966, 'f1-score': 0.8319468927797755, 'support': 32613.0} | {'precision': 0.9006596336695415, 'recall': 0.9062643731027504, 'f1-score': 0.9006875707326324, 'support': 32613.0} |
-| No log        | 8.0   | 328  | 0.3180          | {'precision': 0.6771929824561403, 'recall': 0.6542372881355932, 'f1-score': 0.6655172413793103, 'support': 295.0}   | {'precision': 0.8597560975609756, 'recall': 0.9038461538461539, 'f1-score': 0.8812500000000001, 'support': 156.0}   | {'precision': 0.887517146776406, 'recall': 0.889958734525447, 'f1-score': 0.8887362637362637, 'support': 727.0}   | {'precision': 0.6617380025940337, 'recall': 0.6157373883659184, 'f1-score': 0.6379094773693423, 'support': 4143.0}   | {'precision': 0.8641025641025641, 'recall': 0.9220246238030095, 'f1-score': 0.8921244209133025, 'support': 2193.0}   | {'precision': 0.8975206611570248, 'recall': 0.907665366552575, 'f1-score': 0.90256450846921, 'support': 12563.0}    | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9043   | {'precision': 0.8354039220924492, 'recall': 0.8419128264238643, 'f1-score': 0.838294575020817, 'support': 32613.0}  | {'precision': 0.9023158979759675, 'recall': 0.9043019654738907, 'f1-score': 0.9031251209549119, 'support': 32613.0} |
-| No log        | 9.0   | 369  | 0.3129          | {'precision': 0.6677524429967426, 'recall': 0.6949152542372882, 'f1-score': 0.6810631229235881, 'support': 295.0}   | {'precision': 0.8633540372670807, 'recall': 0.8910256410256411, 'f1-score': 0.8769716088328077, 'support': 156.0}   | {'precision': 0.90014064697609, 'recall': 0.8803301237964236, 'f1-score': 0.890125173852573, 'support': 727.0}    | {'precision': 0.6657534246575343, 'recall': 0.6451846488052136, 'f1-score': 0.6553076734493749, 'support': 4143.0}   | {'precision': 0.8847682119205298, 'recall': 0.9138166894664843, 'f1-score': 0.8990578734858681, 'support': 2193.0}   | {'precision': 0.9023926477578831, 'recall': 0.9066305818673883, 'f1-score': 0.9045066507841969, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9996809189534142, 'f1-score': 0.9998404340194671, 'support': 12536.0}                | 0.9071   | {'precision': 0.84059448736798, 'recall': 0.8473691225931219, 'f1-score': 0.8438389339068395, 'support': 32613.0}   | {'precision': 0.9063055962876612, 'recall': 0.9070922638211756, 'f1-score': 0.9066547860042428, 'support': 32613.0} |
-| No log        | 10.0  | 410  | 0.3630          | {'precision': 0.7007575757575758, 'recall': 0.6271186440677966, 'f1-score': 0.6618962432915921, 'support': 295.0}   | {'precision': 0.8734177215189873, 'recall': 0.8846153846153846, 'f1-score': 0.8789808917197452, 'support': 156.0}   | {'precision': 0.8758256274768824, 'recall': 0.9119669876203577, 'f1-score': 0.8935309973045822, 'support': 727.0} | {'precision': 0.6893039049235993, 'recall': 0.5879797248370746, 'f1-score': 0.6346228995701445, 'support': 4143.0}   | {'precision': 0.9015801354401806, 'recall': 0.9106247150022799, 'f1-score': 0.9060798548094374, 'support': 2193.0}   | {'precision': 0.8848669201520912, 'recall': 0.9262118920639975, 'f1-score': 0.905067475596002, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9073   | {'precision': 0.8465359836099023, 'recall': 0.8354910825636063, 'f1-score': 0.8400197822242561, 'support': 32613.0} | {'precision': 0.9034813207484944, 'recall': 0.9073069021555822, 'f1-score': 0.9046734712048922, 'support': 32613.0} |
-| No log        | 11.0  | 451  | 0.3973          | {'precision': 0.6968503937007874, 'recall': 0.6, 'f1-score': 0.644808743169399, 'support': 295.0}                   | {'precision': 0.8774193548387097, 'recall': 0.8717948717948718, 'f1-score': 0.8745980707395499, 'support': 156.0}   | {'precision': 0.8686605981794538, 'recall': 0.9188445667125172, 'f1-score': 0.893048128342246, 'support': 727.0}  | {'precision': 0.6898395721925134, 'recall': 0.560463432295438, 'f1-score': 0.6184578505793047, 'support': 4143.0}    | {'precision': 0.8931159420289855, 'recall': 0.8992248062015504, 'f1-score': 0.8961599636446262, 'support': 2193.0}   | {'precision': 0.8803091700435239, 'recall': 0.9337737801480538, 'f1-score': 0.9062536212290934, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9058   | {'precision': 0.8437421472834249, 'recall': 0.8262888124129694, 'f1-score': 0.8333266415689298, 'support': 32613.0} | {'precision': 0.9010485773186452, 'recall': 0.9058044338147364, 'f1-score': 0.9022235233298261, 'support': 32613.0} |
-| No log        | 12.0  | 492  | 0.4515          | {'precision': 0.684, 'recall': 0.5796610169491525, 'f1-score': 0.6275229357798164, 'support': 295.0}                | {'precision': 0.8986486486486487, 'recall': 0.8525641025641025, 'f1-score': 0.875, 'support': 156.0}                | {'precision': 0.8576923076923076, 'recall': 0.9202200825309491, 'f1-score': 0.8878566688785666, 'support': 727.0} | {'precision': 0.6694711538461539, 'recall': 0.5377745594979484, 'f1-score': 0.596439566323116, 'support': 4143.0}    | {'precision': 0.9144385026737968, 'recall': 0.8577291381668947, 'f1-score': 0.8851764705882353, 'support': 2193.0}   | {'precision': 0.8705882352941177, 'recall': 0.9365597389158641, 'f1-score': 0.9023698136360152, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9010   | {'precision': 0.8421198354507179, 'recall': 0.812061266909038, 'f1-score': 0.8249036526405771, 'support': 32613.0}  | {'precision': 0.8958910288421719, 'recall': 0.9009597399809892, 'f1-score': 0.896921599864236, 'support': 32613.0}  |
-| 0.2012        | 13.0  | 533  | 0.4265          | {'precision': 0.6790540540540541, 'recall': 0.6813559322033899, 'f1-score': 0.6802030456852792, 'support': 295.0}   | {'precision': 0.8580246913580247, 'recall': 0.8910256410256411, 'f1-score': 0.8742138364779874, 'support': 156.0}   | {'precision': 0.8972222222222223, 'recall': 0.8885832187070152, 'f1-score': 0.8928818244644092, 'support': 727.0} | {'precision': 0.6771552826809926, 'recall': 0.6389090031378228, 'f1-score': 0.6574764033780427, 'support': 4143.0}   | {'precision': 0.8695652173913043, 'recall': 0.9211126310989513, 'f1-score': 0.8945969884853854, 'support': 2193.0}   | {'precision': 0.9036154089043259, 'recall': 0.9111677147178222, 'f1-score': 0.9073758471721296, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9087   | {'precision': 0.8406624109444177, 'recall': 0.8474391958041423, 'f1-score': 0.8438154369916461, 'support': 32613.0} | {'precision': 0.9072144418883538, 'recall': 0.908686720019624, 'f1-score': 0.9078220656295689, 'support': 32613.0}  |
-| 0.2012        | 14.0  | 574  | 0.4540          | {'precision': 0.6824817518248175, 'recall': 0.6338983050847458, 'f1-score': 0.657293497363796, 'support': 295.0}    | {'precision': 0.8717948717948718, 'recall': 0.8717948717948718, 'f1-score': 0.8717948717948718, 'support': 156.0}   | {'precision': 0.8796791443850267, 'recall': 0.9050894085281981, 'f1-score': 0.8922033898305085, 'support': 727.0} | {'precision': 0.6663084363245567, 'recall': 0.5986000482741974, 'f1-score': 0.6306420851875397, 'support': 4143.0}   | {'precision': 0.8915939366100137, 'recall': 0.8850889192886456, 'f1-score': 0.8883295194508009, 'support': 2193.0}   | {'precision': 0.8894700407660949, 'recall': 0.9204807768845021, 'f1-score': 0.904709748083242, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9046   | {'precision': 0.8401897402436259, 'recall': 0.8306960799419306, 'f1-score': 0.8349904607127213, 'support': 32613.0} | {'precision': 0.9015745969882895, 'recall': 0.9045779290466992, 'f1-score': 0.9027307756552017, 'support': 32613.0} |
-| 0.2012        | 15.0  | 615  | 0.4659          | {'precision': 0.6966292134831461, 'recall': 0.6305084745762712, 'f1-score': 0.6619217081850534, 'support': 295.0}   | {'precision': 0.879746835443038, 'recall': 0.8910256410256411, 'f1-score': 0.8853503184713376, 'support': 156.0}    | {'precision': 0.8779840848806366, 'recall': 0.9105914718019257, 'f1-score': 0.8939905469277516, 'support': 727.0} | {'precision': 0.679945054945055, 'recall': 0.5973931933381608, 'f1-score': 0.6360015418219197, 'support': 4143.0}    | {'precision': 0.8921480144404332, 'recall': 0.9015047879616963, 'f1-score': 0.8968019959174417, 'support': 2193.0}   | {'precision': 0.8896810794234897, 'recall': 0.923744328583937, 'f1-score': 0.9063927832233375, 'support': 12563.0}  | {'precision': 1.0, 'recall': 0.9998404594767071, 'f1-score': 0.9999202233745512, 'support': 12536.0}                | 0.9069   | {'precision': 0.8451620403736856, 'recall': 0.8363726223949056, 'f1-score': 0.8400541597030561, 'support': 32613.0} | {'precision': 0.9035537029134824, 'recall': 0.906938950725171, 'f1-score': 0.9047608714894649, 'support': 32613.0}  |
-| 0.2012        | 16.0  | 656  | 0.4608          | {'precision': 0.6925795053003534, 'recall': 0.6644067796610169, 'f1-score': 0.6782006920415224, 'support': 295.0}   | {'precision': 0.8695652173913043, 'recall': 0.8974358974358975, 'f1-score': 0.8832807570977917, 'support': 156.0}   | {'precision': 0.8910081743869209, 'recall': 0.8995873452544704, 'f1-score': 0.8952772073921971, 'support': 727.0} | {'precision': 0.676610348468849, 'recall': 0.6186338402124064, 'f1-score': 0.6463245492371706, 'support': 4143.0}    | {'precision': 0.8776665215498476, 'recall': 0.9192886456908345, 'f1-score': 0.8979955456570156, 'support': 2193.0}   | {'precision': 0.8973858759266484, 'recall': 0.9153864522805063, 'f1-score': 0.9062967924974388, 'support': 12563.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | 0.9077   | {'precision': 0.8435450918605606, 'recall': 0.8449513128962123, 'f1-score': 0.8439050938859181, 'support': 32613.0} | {'precision': 0.905329291555137, 'recall': 0.9077361788243952, 'f1-score': 0.9062969047726682, 'support': 32613.0}  |
 ### Framework versions

       name: essays_su_g
       type: essays_su_g
       config: sep_tok_full_labels
+      split: train[40%:60%]
       args: sep_tok_full_labels
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9046282877493756
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 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: 0.4607
+- B-claim: {'precision': 0.6819672131147541, 'recall': 0.6561514195583596, 'f1-score': 0.6688102893890675, 'support': 317.0}
+- B-majorclaim: {'precision': 0.8853503184713376, 'recall': 0.896774193548387, 'f1-score': 0.8910256410256411, 'support': 155.0}
+- B-premise: {'precision': 0.8817204301075269, 'recall': 0.8967193195625759, 'f1-score': 0.8891566265060241, 'support': 823.0}
+- I-claim: {'precision': 0.6920813924981614, 'recall': 0.6498618784530387, 'f1-score': 0.6703074913926155, 'support': 4344.0}
+- I-majorclaim: {'precision': 0.8773408239700374, 'recall': 0.8864711447492905, 'f1-score': 0.8818823529411765, 'support': 2114.0}
+- I-premise: {'precision': 0.9018829810259, 'recall': 0.9187183067538767, 'f1-score': 0.9102228047182176, 'support': 13607.0}
+- O: {'precision': 0.9999095513748191, 'recall': 0.9985547827657845, 'f1-score': 0.9992317078682154, 'support': 11071.0}
+- Accuracy: 0.9046
+- Macro avg: {'precision': 0.8457503872232196, 'recall': 0.8433215779130447, 'f1-score': 0.8443767019772797, 'support': 32431.0}
+- Weighted avg: {'precision': 0.9029042970267227, 'recall': 0.9046282877493756, 'f1-score': 0.9036387628518002, 'support': 32431.0}
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                           | B-majorclaim                                                                                                       | B-premise                                                                                                         | I-claim                                                                                                             | I-majorclaim                                                                                                        | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 41   | 0.4118          | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 317.0}                                              | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 155.0}                                               | {'precision': 0.6759259259259259, 'recall': 0.9756986634264885, 'f1-score': 0.798607657881651, 'support': 823.0}  | {'precision': 0.5029573299535277, 'recall': 0.5481123388581952, 'f1-score': 0.5245648821326283, 'support': 4344.0}  | {'precision': 0.6704953338119167, 'recall': 0.44181646168401134, 'f1-score': 0.5326489877388081, 'support': 2114.0} | {'precision': 0.8756645636917842, 'recall': 0.9078415521422797, 'f1-score': 0.8914627985855524, 'support': 13607.0} | {'precision': 0.9967299482241803, 'recall': 0.9911480444404299, 'f1-score': 0.9939311594202898, 'support': 11071.0} | 0.8462   | {'precision': 0.5316818716581907, 'recall': 0.5520881515073436, 'f1-score': 0.5344593551084185, 'support': 32431.0} | {'precision': 0.835883129998383, 'recall': 0.8462273750423978, 'f1-score': 0.8385782145723601, 'support': 32431.0}  |
+| No log        | 2.0   | 82   | 0.3001          | {'precision': 0.43, 'recall': 0.27129337539432175, 'f1-score': 0.3326885880077369, 'support': 317.0}              | {'precision': 0.896551724137931, 'recall': 0.16774193548387098, 'f1-score': 0.28260869565217395, 'support': 155.0} | {'precision': 0.76981852913085, 'recall': 0.9793438639125152, 'f1-score': 0.8620320855614974, 'support': 823.0}   | {'precision': 0.6927835051546392, 'recall': 0.46408839779005523, 'f1-score': 0.5558312655086849, 'support': 4344.0} | {'precision': 0.7640091116173121, 'recall': 0.793282876064333, 'f1-score': 0.7783708517057322, 'support': 2114.0}   | {'precision': 0.8649596400688103, 'recall': 0.9607554934959948, 'f1-score': 0.9103443473416662, 'support': 13607.0} | {'precision': 0.9998171177761521, 'recall': 0.9876253274320296, 'f1-score': 0.9936838278729495, 'support': 11071.0} | 0.8824   | {'precision': 0.773991375412242, 'recall': 0.6605901813675886, 'f1-score': 0.6736513802357773, 'support': 32431.0}  | {'precision': 0.8748383987044155, 'recall': 0.8824273072060683, 'f1-score': 0.8728332529732901, 'support': 32431.0} |
+| No log        | 3.0   | 123  | 0.2602          | {'precision': 0.6417322834645669, 'recall': 0.5141955835962145, 'f1-score': 0.5709281961471102, 'support': 317.0} | {'precision': 0.8357142857142857, 'recall': 0.7548387096774194, 'f1-score': 0.7932203389830508, 'support': 155.0}  | {'precision': 0.8512304250559284, 'recall': 0.9246658566221142, 'f1-score': 0.8864298194525335, 'support': 823.0} | {'precision': 0.669375175119081, 'recall': 0.5499539594843462, 'f1-score': 0.6038165044862884, 'support': 4344.0}   | {'precision': 0.7790169351507642, 'recall': 0.8921475875118259, 'f1-score': 0.831753031973539, 'support': 2114.0}   | {'precision': 0.890888479523877, 'recall': 0.9240831924744617, 'f1-score': 0.9071822805815085, 'support': 13607.0}  | {'precision': 0.9996376483377117, 'recall': 0.9967482612230151, 'f1-score': 0.9981908638625057, 'support': 11071.0} | 0.8919   | {'precision': 0.8096564617666021, 'recall': 0.7938047357984852, 'f1-score': 0.7987887193552196, 'support': 32431.0} | {'precision': 0.8873436833652745, 'recall': 0.8918935586321729, 'f1-score': 0.8883404854276872, 'support': 32431.0} |
+| No log        | 4.0   | 164  | 0.2530          | {'precision': 0.6433333333333333, 'recall': 0.6088328075709779, 'f1-score': 0.6256077795786061, 'support': 317.0} | {'precision': 0.8284023668639053, 'recall': 0.9032258064516129, 'f1-score': 0.8641975308641976, 'support': 155.0}  | {'precision': 0.8792270531400966, 'recall': 0.8845686512758202, 'f1-score': 0.8818897637795277, 'support': 823.0} | {'precision': 0.6606835505286452, 'recall': 0.6185543278084714, 'f1-score': 0.6389252169777673, 'support': 4344.0}  | {'precision': 0.8184976118106817, 'recall': 0.8916745506149479, 'f1-score': 0.8535204890196967, 'support': 2114.0}  | {'precision': 0.9034563220067084, 'recall': 0.9105607407951789, 'f1-score': 0.9069946195234434, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9981031523800922, 'f1-score': 0.9990506758283985, 'support': 11071.0}                | 0.8965   | {'precision': 0.8190857482404815, 'recall': 0.830788576699586, 'f1-score': 0.8243122965102339, 'support': 32431.0}  | {'precision': 0.8948409351137605, 'recall': 0.8964570935216305, 'f1-score': 0.8954353191480889, 'support': 32431.0} |
+| No log        | 5.0   | 205  | 0.2600          | {'precision': 0.7109375, 'recall': 0.5741324921135647, 'f1-score': 0.6352530541012217, 'support': 317.0}          | {'precision': 0.8896103896103896, 'recall': 0.8838709677419355, 'f1-score': 0.8867313915857605, 'support': 155.0}  | {'precision': 0.863431151241535, 'recall': 0.9295261239368166, 'f1-score': 0.8952603861907549, 'support': 823.0}  | {'precision': 0.7121212121212122, 'recall': 0.6275322283609577, 'f1-score': 0.667156142927068, 'support': 4344.0}   | {'precision': 0.8813799621928167, 'recall': 0.8822138126773889, 'f1-score': 0.8817966903073287, 'support': 2114.0}  | {'precision': 0.8983086830372939, 'recall': 0.9329021827000809, 'f1-score': 0.9152786790684261, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | 0.9074   | {'precision': 0.8508269854576067, 'recall': 0.8327406029546031, 'f1-score': 0.8401399005471315, 'support': 32431.0} | {'precision': 0.90422246218063, 'recall': 0.907434245012488, 'f1-score': 0.9052313102348954, 'support': 32431.0}    |
+| No log        | 6.0   | 246  | 0.2758          | {'precision': 0.7026022304832714, 'recall': 0.5962145110410094, 'f1-score': 0.6450511945392492, 'support': 317.0} | {'precision': 0.9047619047619048, 'recall': 0.8580645161290322, 'f1-score': 0.880794701986755, 'support': 155.0}   | {'precision': 0.8660612939841089, 'recall': 0.9270959902794653, 'f1-score': 0.8955399061032863, 'support': 823.0} | {'precision': 0.7183248866364363, 'recall': 0.6199355432780848, 'f1-score': 0.6655134066477203, 'support': 4344.0}  | {'precision': 0.8960591133004926, 'recall': 0.8604541154210028, 'f1-score': 0.8778957528957528, 'support': 2114.0}  | {'precision': 0.8941776752638568, 'recall': 0.9401778496362166, 'f1-score': 0.9166009887511642, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9979225002258152, 'f1-score': 0.9989601699896017, 'support': 11071.0}                | 0.9077   | {'precision': 0.8545695863471529, 'recall': 0.8285521465729466, 'f1-score': 0.8400508744162184, 'support': 32431.0} | {'precision': 0.904334721335495, 'recall': 0.9077117572692794, 'f1-score': 0.9052009899846191, 'support': 32431.0}  |
+| No log        | 7.0   | 287  | 0.2923          | {'precision': 0.6936619718309859, 'recall': 0.6214511041009464, 'f1-score': 0.6555740432612313, 'support': 317.0} | {'precision': 0.910958904109589, 'recall': 0.8580645161290322, 'f1-score': 0.883720930232558, 'support': 155.0}    | {'precision': 0.8688147295742232, 'recall': 0.9173754556500607, 'f1-score': 0.892434988179669, 'support': 823.0}  | {'precision': 0.6873800383877159, 'recall': 0.6595303867403315, 'f1-score': 0.6731672932330828, 'support': 4344.0}  | {'precision': 0.9308342133051742, 'recall': 0.8339640491958372, 'f1-score': 0.8797405189620758, 'support': 2114.0}  | {'precision': 0.8992862241256245, 'recall': 0.925920482104799, 'f1-score': 0.912409023427599, 'support': 13607.0}   | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | 0.9057   | {'precision': 0.8558480116190447, 'recall': 0.8307589152960692, 'f1-score': 0.8423642509922252, 'support': 32431.0} | {'precision': 0.9046120706425255, 'recall': 0.9056766673861429, 'f1-score': 0.9048109752434238, 'support': 32431.0} |
+| No log        | 8.0   | 328  | 0.3232          | {'precision': 0.7061224489795919, 'recall': 0.5457413249211357, 'f1-score': 0.6156583629893239, 'support': 317.0} | {'precision': 0.9084967320261438, 'recall': 0.896774193548387, 'f1-score': 0.9025974025974025, 'support': 155.0}   | {'precision': 0.8496659242761693, 'recall': 0.9270959902794653, 'f1-score': 0.8866937826844857, 'support': 823.0} | {'precision': 0.7257503949447077, 'recall': 0.5287753222836096, 'f1-score': 0.6117991743241443, 'support': 4344.0}  | {'precision': 0.8606143970655663, 'recall': 0.8878902554399243, 'f1-score': 0.8740395809080327, 'support': 2114.0}  | {'precision': 0.8743462609522515, 'recall': 0.9460571764532961, 'f1-score': 0.9087892693258031, 'support': 13607.0} | {'precision': 0.9999096331104284, 'recall': 0.9994580435371692, 'f1-score': 0.999683787324389, 'support': 11071.0}  | 0.9000   | {'precision': 0.8464151130506943, 'recall': 0.8188274723518553, 'f1-score': 0.8284659085933688, 'support': 32431.0} | {'precision': 0.8943036149810097, 'recall': 0.8999722487743209, 'f1-score': 0.8943167144432094, 'support': 32431.0} |
+| No log        | 9.0   | 369  | 0.3633          | {'precision': 0.7035573122529645, 'recall': 0.5615141955835962, 'f1-score': 0.6245614035087719, 'support': 317.0} | {'precision': 0.9060402684563759, 'recall': 0.8709677419354839, 'f1-score': 0.8881578947368421, 'support': 155.0}  | {'precision': 0.8547486033519553, 'recall': 0.9295261239368166, 'f1-score': 0.890570430733411, 'support': 823.0}  | {'precision': 0.7197630922693267, 'recall': 0.5315377532228361, 'f1-score': 0.6114936440677966, 'support': 4344.0}  | {'precision': 0.8848780487804878, 'recall': 0.8580889309366131, 'f1-score': 0.8712776176753123, 'support': 2114.0}  | {'precision': 0.8723188992310805, 'recall': 0.9504666715661056, 'f1-score': 0.9097175816832553, 'support': 13607.0} | {'precision': 0.9999095022624435, 'recall': 0.9980128263029536, 'f1-score': 0.9989602640025315, 'support': 11071.0} | 0.8998   | {'precision': 0.8487451038006621, 'recall': 0.8143020347834865, 'f1-score': 0.8278198337725601, 'support': 32431.0} | {'precision': 0.8943247645610162, 'recall': 0.8998489099935247, 'f1-score': 0.8943546419605405, 'support': 32431.0} |
+| No log        | 10.0  | 410  | 0.3689          | {'precision': 0.6383561643835617, 'recall': 0.7350157728706624, 'f1-score': 0.6832844574780059, 'support': 317.0} | {'precision': 0.879746835443038, 'recall': 0.896774193548387, 'f1-score': 0.8881789137380192, 'support': 155.0}    | {'precision': 0.9108527131782945, 'recall': 0.8566221142162819, 'f1-score': 0.8829054477144646, 'support': 823.0} | {'precision': 0.6362704918032787, 'recall': 0.7147790055248618, 'f1-score': 0.6732437120555073, 'support': 4344.0}  | {'precision': 0.8423403305046896, 'recall': 0.8921475875118259, 'f1-score': 0.8665288306914771, 'support': 2114.0}  | {'precision': 0.9262117937635073, 'recall': 0.8818990225619167, 'f1-score': 0.9035124044723865, 'support': 13607.0} | {'precision': 1.0, 'recall': 0.9989160870743383, 'f1-score': 0.9994577496610935, 'support': 11071.0}                | 0.8981   | {'precision': 0.8333969041537671, 'recall': 0.8537362547583249, 'f1-score': 0.8424445022587078, 'support': 32431.0} | {'precision': 0.9036718509873083, 'recall': 0.8981221670623786, 'f1-score': 0.9002621798749209, 'support': 32431.0} |
+| No log        | 11.0  | 451  | 0.4103          | {'precision': 0.7154150197628458, 'recall': 0.5709779179810726, 'f1-score': 0.6350877192982457, 'support': 317.0} | {'precision': 0.896774193548387, 'recall': 0.896774193548387, 'f1-score': 0.896774193548387, 'support': 155.0}     | {'precision': 0.8592342342342343, 'recall': 0.9270959902794653, 'f1-score': 0.8918760958503799, 'support': 823.0} | {'precision': 0.706850926198177, 'recall': 0.5534069981583793, 'f1-score': 0.6207876049063913, 'support': 4344.0}   | {'precision': 0.8774740810556079, 'recall': 0.8807947019867549, 'f1-score': 0.8791312559017942, 'support': 2114.0}  | {'precision': 0.8783570300157978, 'recall': 0.9398103917101492, 'f1-score': 0.9080451608322092, 'support': 13607.0} | {'precision': 0.9999095268252963, 'recall': 0.998283804534369, 'f1-score': 0.9990960043391791, 'support': 11071.0}  | 0.9000   | {'precision': 0.8477164302343352, 'recall': 0.8238777140283682, 'f1-score': 0.832971147810941, 'support': 32431.0}  | {'precision': 0.8948314712991845, 'recall': 0.9000339181647189, 'f1-score': 0.8956333147937184, 'support': 32431.0} |
+| No log        | 12.0  | 492  | 0.3971          | {'precision': 0.6933333333333334, 'recall': 0.6561514195583596, 'f1-score': 0.674230145867099, 'support': 317.0}  | {'precision': 0.8805031446540881, 'recall': 0.9032258064516129, 'f1-score': 0.89171974522293, 'support': 155.0}    | {'precision': 0.8843861740166865, 'recall': 0.9015795868772782, 'f1-score': 0.8929001203369434, 'support': 823.0} | {'precision': 0.6998045920859794, 'recall': 0.6595303867403315, 'f1-score': 0.6790708698743778, 'support': 4344.0}  | {'precision': 0.8721144967682364, 'recall': 0.8935666982024598, 'f1-score': 0.8827102803738317, 'support': 2114.0}  | {'precision': 0.9050408620814349, 'recall': 0.919673697361652, 'f1-score': 0.9122986075672522, 'support': 13607.0}  | {'precision': 0.9999094694912185, 'recall': 0.9976515219943998, 'f1-score': 0.9987792196048288, 'support': 11071.0} | 0.9066   | {'precision': 0.8478702960615683, 'recall': 0.8473398738837278, 'f1-score': 0.8473869984067518, 'support': 32431.0} | {'precision': 0.9050786104829543, 'recall': 0.9066325429373131, 'f1-score': 0.9057343159521435, 'support': 32431.0} |
+| 0.1957        | 13.0  | 533  | 0.4370          | {'precision': 0.675, 'recall': 0.6813880126182965, 'f1-score': 0.6781789638932496, 'support': 317.0}              | {'precision': 0.8421052631578947, 'recall': 0.9290322580645162, 'f1-score': 0.8834355828220859, 'support': 155.0}  | {'precision': 0.895910780669145, 'recall': 0.8784933171324423, 'f1-score': 0.8871165644171779, 'support': 823.0}  | {'precision': 0.6602881584871679, 'recall': 0.6751841620626151, 'f1-score': 0.6676530844525382, 'support': 4344.0}  | {'precision': 0.8328358208955224, 'recall': 0.9238410596026491, 'f1-score': 0.8759811616954475, 'support': 2114.0}  | {'precision': 0.9138385130559109, 'recall': 0.8924818108326596, 'f1-score': 0.9030339083878643, 'support': 13607.0} | {'precision': 0.999909559555033, 'recall': 0.9986451088429229, 'f1-score': 0.9992769342010123, 'support': 11071.0}  | 0.8994   | {'precision': 0.8314125851172391, 'recall': 0.8541522470223003, 'f1-score': 0.8420965999813396, 'support': 32431.0} | {'precision': 0.9008461643213939, 'recall': 0.8994172242607382, 'f1-score': 0.8999012883989392, 'support': 32431.0} |
+| 0.1957        | 14.0  | 574  | 0.4532          | {'precision': 0.6666666666666666, 'recall': 0.694006309148265, 'f1-score': 0.6800618238021638, 'support': 317.0}  | {'precision': 0.8875, 'recall': 0.9161290322580645, 'f1-score': 0.9015873015873015, 'support': 155.0}              | {'precision': 0.8948019801980198, 'recall': 0.8784933171324423, 'f1-score': 0.8865726548129982, 'support': 823.0} | {'precision': 0.660063034669068, 'recall': 0.6749539594843462, 'f1-score': 0.6674254495788755, 'support': 4344.0}   | {'precision': 0.8716998610467809, 'recall': 0.8902554399243141, 'f1-score': 0.8808799438333722, 'support': 2114.0}  | {'precision': 0.9096036811637227, 'recall': 0.9007128683765708, 'f1-score': 0.905136442524279, 'support': 13607.0}  | {'precision': 0.9999095677337674, 'recall': 0.9987354349200614, 'f1-score': 0.9993221564462921, 'support': 11071.0} | 0.9007   | {'precision': 0.8414635416397179, 'recall': 0.8504694801777236, 'f1-score': 0.845855110369326, 'support': 32431.0}  | {'precision': 0.9016799144604528, 'recall': 0.9007431161542968, 'f1-score': 0.9011790708421438, 'support': 32431.0} |
+| 0.1957        | 15.0  | 615  | 0.4669          | {'precision': 0.6872964169381107, 'recall': 0.6656151419558359, 'f1-score': 0.6762820512820512, 'support': 317.0} | {'precision': 0.8650306748466258, 'recall': 0.9096774193548387, 'f1-score': 0.8867924528301888, 'support': 155.0}  | {'precision': 0.8890229191797346, 'recall': 0.8955042527339003, 'f1-score': 0.8922518159806295, 'support': 823.0} | {'precision': 0.6812977099236641, 'recall': 0.6574585635359116, 'f1-score': 0.669165885660731, 'support': 4344.0}   | {'precision': 0.8544961590600995, 'recall': 0.8945127719962157, 'f1-score': 0.8740466836145135, 'support': 2114.0}  | {'precision': 0.9068645368813509, 'recall': 0.9116631145733813, 'f1-score': 0.9092574946859194, 'support': 13607.0} | {'precision': 0.9999094858797972, 'recall': 0.9978321741486768, 'f1-score': 0.9988697499886975, 'support': 11071.0} | 0.9031   | {'precision': 0.8405597003870547, 'recall': 0.8474662054712514, 'f1-score': 0.8438094477203901, 'support': 32431.0} | {'precision': 0.9022011157514956, 'recall': 0.9030865529894238, 'f1-score': 0.9025778580304222, 'support': 32431.0} |
+| 0.1957        | 16.0  | 656  | 0.4607          | {'precision': 0.6819672131147541, 'recall': 0.6561514195583596, 'f1-score': 0.6688102893890675, 'support': 317.0} | {'precision': 0.8853503184713376, 'recall': 0.896774193548387, 'f1-score': 0.8910256410256411, 'support': 155.0}   | {'precision': 0.8817204301075269, 'recall': 0.8967193195625759, 'f1-score': 0.8891566265060241, 'support': 823.0} | {'precision': 0.6920813924981614, 'recall': 0.6498618784530387, 'f1-score': 0.6703074913926155, 'support': 4344.0}  | {'precision': 0.8773408239700374, 'recall': 0.8864711447492905, 'f1-score': 0.8818823529411765, 'support': 2114.0}  | {'precision': 0.9018829810259, 'recall': 0.9187183067538767, 'f1-score': 0.9102228047182176, 'support': 13607.0}    | {'precision': 0.9999095513748191, 'recall': 0.9985547827657845, 'f1-score': 0.9992317078682154, 'support': 11071.0} | 0.9046   | {'precision': 0.8457503872232196, 'recall': 0.8433215779130447, 'f1-score': 0.8443767019772797, 'support': 32431.0} | {'precision': 0.9029042970267227, 'recall': 0.9046282877493756, 'f1-score': 0.9036387628518002, 'support': 32431.0} |
 ### Framework versions

meta_data/meta_s42_e16_cvi2.json CHANGED Viewed

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