End of training

Browse files

Files changed (3) hide show

README.md +26 -61
logs/events.out.tfevents.1739237865.7bb0d3a186ea.31.0 +2 -2
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the funsd dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1469
-- Answer: {'precision': 0.7396788990825688, 'recall': 0.7972805933250927, 'f1': 0.7674003569303985, 'number': 809}
-- Header: {'precision': 0.45323741007194246, 'recall': 0.5294117647058824, 'f1': 0.48837209302325585, 'number': 119}
-- Question: {'precision': 0.8115279048490394, 'recall': 0.8328638497652582, 'f1': 0.8220574606116775, 'number': 1065}
-- Overall Precision: 0.7581
-- Overall Recall: 0.8003
-- Overall F1: 0.7786
-- Overall Accuracy: 0.8101
 ## Model description
@@ -50,63 +50,28 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 50
 - mixed_precision_training: Native AMP
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Answer                                                                                                   | Header                                                                                                      | Question                                                                                                  | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| 0.5224        | 1.0   | 5    | 0.7102          | {'precision': 0.6642636457260556, 'recall': 0.7972805933250927, 'f1': 0.7247191011235956, 'number': 809} | {'precision': 0.22988505747126436, 'recall': 0.16806722689075632, 'f1': 0.19417475728155342, 'number': 119} | {'precision': 0.7172470978441128, 'recall': 0.812206572769953, 'f1': 0.7617789520035227, 'number': 1065}  | 0.6758            | 0.7677         | 0.7188     | 0.7819           |
-| 0.4555        | 2.0   | 10   | 0.7199          | {'precision': 0.7081930415263749, 'recall': 0.7799752781211372, 'f1': 0.7423529411764707, 'number': 809} | {'precision': 0.2302158273381295, 'recall': 0.2689075630252101, 'f1': 0.248062015503876, 'number': 119}     | {'precision': 0.7556719022687609, 'recall': 0.8131455399061033, 'f1': 0.7833559475350521, 'number': 1065} | 0.7027            | 0.7672         | 0.7335     | 0.7984           |
-| 0.3981        | 3.0   | 15   | 0.7216          | {'precision': 0.7238204833141542, 'recall': 0.7775030902348579, 'f1': 0.7497020262216926, 'number': 809} | {'precision': 0.27586206896551724, 'recall': 0.2689075630252101, 'f1': 0.27234042553191484, 'number': 119}  | {'precision': 0.7587681779298546, 'recall': 0.8328638497652582, 'f1': 0.7940913160250672, 'number': 1065} | 0.7187            | 0.7767         | 0.7466     | 0.7924           |
-| 0.351         | 4.0   | 20   | 0.7183          | {'precision': 0.7116022099447514, 'recall': 0.796044499381953, 'f1': 0.751458576429405, 'number': 809}   | {'precision': 0.2890625, 'recall': 0.31092436974789917, 'f1': 0.29959514170040485, 'number': 119}           | {'precision': 0.7548770144189991, 'recall': 0.8356807511737089, 'f1': 0.7932263814616756, 'number': 1065} | 0.7102            | 0.7883         | 0.7472     | 0.8015           |
-| 0.3156        | 5.0   | 25   | 0.7208          | {'precision': 0.7142857142857143, 'recall': 0.7911001236093943, 'f1': 0.750733137829912, 'number': 809}  | {'precision': 0.29931972789115646, 'recall': 0.3697478991596639, 'f1': 0.33082706766917297, 'number': 119}  | {'precision': 0.7864864864864864, 'recall': 0.819718309859155, 'f1': 0.8027586206896551, 'number': 1065}  | 0.7232            | 0.7812         | 0.7511     | 0.8021           |
-| 0.2762        | 6.0   | 30   | 0.7310          | {'precision': 0.7130434782608696, 'recall': 0.8108776266996292, 'f1': 0.7588201272411799, 'number': 809} | {'precision': 0.3178294573643411, 'recall': 0.3445378151260504, 'f1': 0.33064516129032256, 'number': 119}   | {'precision': 0.7694300518134715, 'recall': 0.8366197183098592, 'f1': 0.8016194331983806, 'number': 1065} | 0.7195            | 0.7968         | 0.7562     | 0.8042           |
-| 0.2511        | 7.0   | 35   | 0.7689          | {'precision': 0.7245370370370371, 'recall': 0.7737948084054388, 'f1': 0.7483562462641961, 'number': 809} | {'precision': 0.33116883116883117, 'recall': 0.42857142857142855, 'f1': 0.37362637362637363, 'number': 119} | {'precision': 0.7825311942959001, 'recall': 0.8244131455399061, 'f1': 0.8029263831732967, 'number': 1065} | 0.7266            | 0.7802         | 0.7525     | 0.8036           |
-| 0.227         | 8.0   | 40   | 0.7812          | {'precision': 0.7216721672167217, 'recall': 0.8108776266996292, 'f1': 0.7636786961583235, 'number': 809} | {'precision': 0.34459459459459457, 'recall': 0.42857142857142855, 'f1': 0.38202247191011235, 'number': 119} | {'precision': 0.7940913160250671, 'recall': 0.8328638497652582, 'f1': 0.8130155820348305, 'number': 1065} | 0.7332            | 0.7998         | 0.7651     | 0.8069           |
-| 0.1976        | 9.0   | 45   | 0.7855          | {'precision': 0.7257142857142858, 'recall': 0.7849196538936959, 'f1': 0.7541567695961995, 'number': 809} | {'precision': 0.3691275167785235, 'recall': 0.46218487394957986, 'f1': 0.41044776119402987, 'number': 119}  | {'precision': 0.7937219730941704, 'recall': 0.8309859154929577, 'f1': 0.8119266055045871, 'number': 1065} | 0.7363            | 0.7903         | 0.7623     | 0.8118           |
-| 0.1824        | 10.0  | 50   | 0.7943          | {'precision': 0.7175824175824176, 'recall': 0.8071693448702101, 'f1': 0.7597440372309483, 'number': 809} | {'precision': 0.34868421052631576, 'recall': 0.44537815126050423, 'f1': 0.3911439114391144, 'number': 119}  | {'precision': 0.7878245299910475, 'recall': 0.8262910798122066, 'f1': 0.8065994500458296, 'number': 1065} | 0.7279            | 0.7958         | 0.7603     | 0.8116           |
-| 0.165         | 11.0  | 55   | 0.8219          | {'precision': 0.7301587301587301, 'recall': 0.796044499381953, 'f1': 0.7616794795978711, 'number': 809}  | {'precision': 0.3793103448275862, 'recall': 0.46218487394957986, 'f1': 0.41666666666666663, 'number': 119}  | {'precision': 0.789908256880734, 'recall': 0.8084507042253521, 'f1': 0.7990719257540604, 'number': 1065}  | 0.7369            | 0.7827         | 0.7591     | 0.8095           |
-| 0.148         | 12.0  | 60   | 0.8420          | {'precision': 0.7286821705426356, 'recall': 0.8133498145859085, 'f1': 0.7686915887850466, 'number': 809} | {'precision': 0.4263565891472868, 'recall': 0.46218487394957986, 'f1': 0.4435483870967742, 'number': 119}   | {'precision': 0.7931034482758621, 'recall': 0.8422535211267606, 'f1': 0.8169398907103825, 'number': 1065} | 0.7443            | 0.8078         | 0.7748     | 0.8068           |
-| 0.1358        | 13.0  | 65   | 0.8636          | {'precision': 0.7441037735849056, 'recall': 0.7799752781211372, 'f1': 0.7616173808086903, 'number': 809} | {'precision': 0.3475609756097561, 'recall': 0.4789915966386555, 'f1': 0.40282685512367494, 'number': 119}   | {'precision': 0.7939560439560439, 'recall': 0.8140845070422535, 'f1': 0.8038942976356049, 'number': 1065} | 0.7391            | 0.7802         | 0.7591     | 0.8052           |
-| 0.1179        | 14.0  | 70   | 0.8502          | {'precision': 0.7305122494432071, 'recall': 0.8108776266996292, 'f1': 0.7685998828353838, 'number': 809} | {'precision': 0.41044776119402987, 'recall': 0.46218487394957986, 'f1': 0.43478260869565216, 'number': 119} | {'precision': 0.8116469517743403, 'recall': 0.8375586854460094, 'f1': 0.8243992606284658, 'number': 1065} | 0.7522            | 0.8043         | 0.7774     | 0.8109           |
-| 0.1103        | 15.0  | 75   | 0.8866          | {'precision': 0.7446555819477435, 'recall': 0.7750309023485785, 'f1': 0.7595396729254997, 'number': 809} | {'precision': 0.38461538461538464, 'recall': 0.5042016806722689, 'f1': 0.4363636363636364, 'number': 119}   | {'precision': 0.7989130434782609, 'recall': 0.828169014084507, 'f1': 0.8132780082987551, 'number': 1065}  | 0.7464            | 0.7873         | 0.7663     | 0.8050           |
-| 0.1011        | 16.0  | 80   | 0.9099          | {'precision': 0.7299670691547749, 'recall': 0.8220024721878862, 'f1': 0.7732558139534884, 'number': 809} | {'precision': 0.427536231884058, 'recall': 0.4957983193277311, 'f1': 0.4591439688715953, 'number': 119}     | {'precision': 0.8219944082013048, 'recall': 0.828169014084507, 'f1': 0.8250701590271282, 'number': 1065}  | 0.7568            | 0.8058         | 0.7806     | 0.8090           |
-| 0.0958        | 17.0  | 85   | 0.9277          | {'precision': 0.7565320665083135, 'recall': 0.7873918417799752, 'f1': 0.7716535433070866, 'number': 809} | {'precision': 0.41216216216216217, 'recall': 0.5126050420168067, 'f1': 0.4569288389513108, 'number': 119}   | {'precision': 0.7994604316546763, 'recall': 0.8347417840375587, 'f1': 0.8167202572347267, 'number': 1065} | 0.7550            | 0.7963         | 0.7751     | 0.8064           |
-| 0.0854        | 18.0  | 90   | 0.9437          | {'precision': 0.7286202964652223, 'recall': 0.7898640296662547, 'f1': 0.7580071174377224, 'number': 809} | {'precision': 0.427536231884058, 'recall': 0.4957983193277311, 'f1': 0.4591439688715953, 'number': 119}     | {'precision': 0.8096980786825252, 'recall': 0.8309859154929577, 'f1': 0.8202038924930491, 'number': 1065} | 0.7509            | 0.7943         | 0.7720     | 0.8091           |
-| 0.0776        | 19.0  | 95   | 0.9501          | {'precision': 0.7412587412587412, 'recall': 0.7861557478368356, 'f1': 0.7630473905218957, 'number': 809} | {'precision': 0.42207792207792205, 'recall': 0.5462184873949579, 'f1': 0.47619047619047616, 'number': 119}  | {'precision': 0.8167441860465117, 'recall': 0.8244131455399061, 'f1': 0.8205607476635515, 'number': 1065} | 0.7566            | 0.7923         | 0.7740     | 0.8106           |
-| 0.0691        | 20.0  | 100  | 0.9436          | {'precision': 0.7252502780867631, 'recall': 0.8059332509270705, 'f1': 0.7634660421545667, 'number': 809} | {'precision': 0.4225352112676056, 'recall': 0.5042016806722689, 'f1': 0.45977011494252873, 'number': 119}   | {'precision': 0.812327506899724, 'recall': 0.8291079812206573, 'f1': 0.8206319702602229, 'number': 1065}  | 0.7495            | 0.8003         | 0.7741     | 0.8155           |
-| 0.0661        | 21.0  | 105  | 0.9569          | {'precision': 0.7306397306397306, 'recall': 0.8046971569839307, 'f1': 0.7658823529411766, 'number': 809} | {'precision': 0.4482758620689655, 'recall': 0.5462184873949579, 'f1': 0.49242424242424243, 'number': 119}   | {'precision': 0.8191881918819188, 'recall': 0.8338028169014085, 'f1': 0.8264308980921358, 'number': 1065} | 0.7566            | 0.8048         | 0.7800     | 0.8154           |
-| 0.0607        | 22.0  | 110  | 0.9847          | {'precision': 0.7453703703703703, 'recall': 0.796044499381953, 'f1': 0.7698744769874476, 'number': 809}  | {'precision': 0.4, 'recall': 0.5210084033613446, 'f1': 0.4525547445255475, 'number': 119}                   | {'precision': 0.8136067101584343, 'recall': 0.819718309859155, 'f1': 0.8166510757717493, 'number': 1065}  | 0.7548            | 0.7923         | 0.7731     | 0.8064           |
-| 0.0555        | 23.0  | 115  | 1.0145          | {'precision': 0.7329545454545454, 'recall': 0.7972805933250927, 'f1': 0.7637655417406749, 'number': 809} | {'precision': 0.41007194244604317, 'recall': 0.4789915966386555, 'f1': 0.4418604651162791, 'number': 119}   | {'precision': 0.8061874431301183, 'recall': 0.831924882629108, 'f1': 0.8188539741219962, 'number': 1065}  | 0.7498            | 0.7968         | 0.7726     | 0.8103           |
-| 0.0529        | 24.0  | 120  | 1.0352          | {'precision': 0.7352601156069364, 'recall': 0.7861557478368356, 'f1': 0.7598566308243728, 'number': 809} | {'precision': 0.4013605442176871, 'recall': 0.4957983193277311, 'f1': 0.443609022556391, 'number': 119}     | {'precision': 0.8099630996309963, 'recall': 0.8244131455399061, 'f1': 0.8171242438343416, 'number': 1065} | 0.7505            | 0.7893         | 0.7694     | 0.8062           |
-| 0.0476        | 25.0  | 125  | 1.0199          | {'precision': 0.7428896473265074, 'recall': 0.8071693448702101, 'f1': 0.7736966824644549, 'number': 809} | {'precision': 0.4166666666666667, 'recall': 0.46218487394957986, 'f1': 0.4382470119521913, 'number': 119}   | {'precision': 0.8068902991840435, 'recall': 0.8356807511737089, 'f1': 0.8210332103321034, 'number': 1065} | 0.7559            | 0.8018         | 0.7782     | 0.8138           |
-| 0.0458        | 26.0  | 130  | 1.0451          | {'precision': 0.735632183908046, 'recall': 0.7911001236093943, 'f1': 0.7623585467540203, 'number': 809}  | {'precision': 0.42857142857142855, 'recall': 0.5546218487394958, 'f1': 0.48351648351648346, 'number': 119}  | {'precision': 0.8176691729323309, 'recall': 0.8169014084507042, 'f1': 0.8172851103804604, 'number': 1065} | 0.7548            | 0.7908         | 0.7724     | 0.8089           |
-| 0.0465        | 27.0  | 135  | 1.0510          | {'precision': 0.7526132404181185, 'recall': 0.8009888751545118, 'f1': 0.7760479041916167, 'number': 809} | {'precision': 0.4326241134751773, 'recall': 0.5126050420168067, 'f1': 0.4692307692307692, 'number': 119}    | {'precision': 0.8059836808703535, 'recall': 0.8347417840375587, 'f1': 0.820110701107011, 'number': 1065}  | 0.7591            | 0.8018         | 0.7799     | 0.8069           |
-| 0.0417        | 28.0  | 140  | 1.0477          | {'precision': 0.7445589919816724, 'recall': 0.8034610630407911, 'f1': 0.7728894173602853, 'number': 809} | {'precision': 0.42657342657342656, 'recall': 0.5126050420168067, 'f1': 0.46564885496183206, 'number': 119}  | {'precision': 0.8207985143918292, 'recall': 0.8300469483568075, 'f1': 0.8253968253968254, 'number': 1065} | 0.7621            | 0.8003         | 0.7807     | 0.8090           |
-| 0.0385        | 29.0  | 145  | 1.0789          | {'precision': 0.7428243398392652, 'recall': 0.799752781211372, 'f1': 0.7702380952380953, 'number': 809}  | {'precision': 0.42567567567567566, 'recall': 0.5294117647058824, 'f1': 0.47191011235955055, 'number': 119}  | {'precision': 0.8073059360730593, 'recall': 0.8300469483568075, 'f1': 0.8185185185185184, 'number': 1065} | 0.7540            | 0.7998         | 0.7762     | 0.8054           |
-| 0.0362        | 30.0  | 150  | 1.0647          | {'precision': 0.7347876004592423, 'recall': 0.7911001236093943, 'f1': 0.761904761904762, 'number': 809}  | {'precision': 0.43795620437956206, 'recall': 0.5042016806722689, 'f1': 0.46875, 'number': 119}              | {'precision': 0.8098271155595996, 'recall': 0.8356807511737089, 'f1': 0.822550831792976, 'number': 1065}  | 0.7546            | 0.7978         | 0.7756     | 0.8080           |
-| 0.0336        | 31.0  | 155  | 1.0769          | {'precision': 0.7395715896279594, 'recall': 0.8108776266996292, 'f1': 0.7735849056603773, 'number': 809} | {'precision': 0.46258503401360546, 'recall': 0.5714285714285714, 'f1': 0.5112781954887218, 'number': 119}   | {'precision': 0.8120437956204379, 'recall': 0.8356807511737089, 'f1': 0.8236927348449792, 'number': 1065} | 0.7577            | 0.8098         | 0.7829     | 0.8092           |
-| 0.0305        | 32.0  | 160  | 1.1055          | {'precision': 0.7505800464037123, 'recall': 0.799752781211372, 'f1': 0.7743865948533811, 'number': 809}  | {'precision': 0.4513888888888889, 'recall': 0.5462184873949579, 'f1': 0.494296577946768, 'number': 119}     | {'precision': 0.8072727272727273, 'recall': 0.8338028169014085, 'f1': 0.8203233256351038, 'number': 1065} | 0.7597            | 0.8028         | 0.7807     | 0.8055           |
-| 0.0316        | 33.0  | 165  | 1.0967          | {'precision': 0.7470449172576832, 'recall': 0.7812113720642769, 'f1': 0.7637462235649547, 'number': 809} | {'precision': 0.42857142857142855, 'recall': 0.5546218487394958, 'f1': 0.48351648351648346, 'number': 119}  | {'precision': 0.8098330241187384, 'recall': 0.819718309859155, 'f1': 0.8147456836210919, 'number': 1065}  | 0.7560            | 0.7883         | 0.7718     | 0.8028           |
-| 0.0304        | 34.0  | 170  | 1.1063          | {'precision': 0.7412823397075365, 'recall': 0.8145859085290482, 'f1': 0.7762073027090693, 'number': 809} | {'precision': 0.4397163120567376, 'recall': 0.5210084033613446, 'f1': 0.47692307692307695, 'number': 119}   | {'precision': 0.805956678700361, 'recall': 0.8384976525821596, 'f1': 0.8219052001840772, 'number': 1065}  | 0.7549            | 0.8098         | 0.7814     | 0.8080           |
-| 0.0293        | 35.0  | 175  | 1.1122          | {'precision': 0.7351290684624018, 'recall': 0.8096415327564895, 'f1': 0.7705882352941176, 'number': 809} | {'precision': 0.44370860927152317, 'recall': 0.5630252100840336, 'f1': 0.49629629629629624, 'number': 119}  | {'precision': 0.8063063063063063, 'recall': 0.8403755868544601, 'f1': 0.8229885057471265, 'number': 1065} | 0.7514            | 0.8113         | 0.7802     | 0.8076           |
-| 0.0262        | 36.0  | 180  | 1.0936          | {'precision': 0.7395348837209302, 'recall': 0.7861557478368356, 'f1': 0.762133013780707, 'number': 809}  | {'precision': 0.45454545454545453, 'recall': 0.5462184873949579, 'f1': 0.4961832061068702, 'number': 119}   | {'precision': 0.8188539741219963, 'recall': 0.831924882629108, 'f1': 0.8253376804843968, 'number': 1065}  | 0.7612            | 0.7963         | 0.7783     | 0.8125           |
-| 0.0261        | 37.0  | 185  | 1.1048          | {'precision': 0.740909090909091, 'recall': 0.8059332509270705, 'f1': 0.7720544701006513, 'number': 809}  | {'precision': 0.4621212121212121, 'recall': 0.5126050420168067, 'f1': 0.4860557768924302, 'number': 119}    | {'precision': 0.8023360287511231, 'recall': 0.8384976525821596, 'f1': 0.8200183654729108, 'number': 1065} | 0.7558            | 0.8058         | 0.7800     | 0.8097           |
-| 0.0268        | 38.0  | 190  | 1.1161          | {'precision': 0.7428243398392652, 'recall': 0.799752781211372, 'f1': 0.7702380952380953, 'number': 809}  | {'precision': 0.4482758620689655, 'recall': 0.5462184873949579, 'f1': 0.49242424242424243, 'number': 119}   | {'precision': 0.8114075436982521, 'recall': 0.828169014084507, 'f1': 0.8197026022304833, 'number': 1065}  | 0.7580            | 0.7998         | 0.7783     | 0.8092           |
-| 0.0237        | 39.0  | 195  | 1.1251          | {'precision': 0.7439724454649828, 'recall': 0.8009888751545118, 'f1': 0.7714285714285715, 'number': 809} | {'precision': 0.47368421052631576, 'recall': 0.5294117647058824, 'f1': 0.5, 'number': 119}                  | {'precision': 0.8094804010938924, 'recall': 0.8338028169014085, 'f1': 0.8214616096207216, 'number': 1065} | 0.7611            | 0.8023         | 0.7811     | 0.8088           |
-| 0.022         | 40.0  | 200  | 1.1322          | {'precision': 0.7372593431483578, 'recall': 0.8046971569839307, 'f1': 0.7695035460992907, 'number': 809} | {'precision': 0.4444444444444444, 'recall': 0.5378151260504201, 'f1': 0.4866920152091255, 'number': 119}    | {'precision': 0.8041704442429737, 'recall': 0.8328638497652582, 'f1': 0.8182656826568265, 'number': 1065} | 0.7521            | 0.8038         | 0.7771     | 0.8070           |
-| 0.0229        | 41.0  | 205  | 1.1349          | {'precision': 0.7433831990794016, 'recall': 0.7985166872682324, 'f1': 0.7699642431466032, 'number': 809} | {'precision': 0.44966442953020136, 'recall': 0.5630252100840336, 'f1': 0.5000000000000001, 'number': 119}   | {'precision': 0.8139963167587477, 'recall': 0.8300469483568075, 'f1': 0.8219432821943281, 'number': 1065} | 0.7590            | 0.8013         | 0.7796     | 0.8076           |
-| 0.0208        | 42.0  | 210  | 1.1341          | {'precision': 0.7436194895591647, 'recall': 0.792336217552534, 'f1': 0.7672052663076003, 'number': 809}  | {'precision': 0.4370860927152318, 'recall': 0.5546218487394958, 'f1': 0.48888888888888893, 'number': 119}   | {'precision': 0.8170844939647168, 'recall': 0.8262910798122066, 'f1': 0.8216619981325864, 'number': 1065} | 0.7593            | 0.7963         | 0.7774     | 0.8091           |
-| 0.0202        | 43.0  | 215  | 1.1439          | {'precision': 0.7344632768361582, 'recall': 0.8034610630407911, 'f1': 0.7674144037780402, 'number': 809} | {'precision': 0.45255474452554745, 'recall': 0.5210084033613446, 'f1': 0.484375, 'number': 119}             | {'precision': 0.8127853881278538, 'recall': 0.8356807511737089, 'f1': 0.824074074074074, 'number': 1065}  | 0.7567            | 0.8038         | 0.7796     | 0.8081           |
-| 0.0199        | 44.0  | 220  | 1.1490          | {'precision': 0.7342342342342343, 'recall': 0.8059332509270705, 'f1': 0.7684148497348262, 'number': 809} | {'precision': 0.45255474452554745, 'recall': 0.5210084033613446, 'f1': 0.484375, 'number': 119}             | {'precision': 0.8126142595978062, 'recall': 0.8347417840375587, 'f1': 0.823529411764706, 'number': 1065}  | 0.7565            | 0.8043         | 0.7797     | 0.8075           |
-| 0.0209        | 45.0  | 225  | 1.1480          | {'precision': 0.7400228050171037, 'recall': 0.8022249690976514, 'f1': 0.7698695136417556, 'number': 809} | {'precision': 0.43448275862068964, 'recall': 0.5294117647058824, 'f1': 0.47727272727272724, 'number': 119}  | {'precision': 0.8106617647058824, 'recall': 0.828169014084507, 'f1': 0.819321876451463, 'number': 1065}   | 0.7555            | 0.7998         | 0.7770     | 0.8082           |
-| 0.02          | 46.0  | 230  | 1.1426          | {'precision': 0.7396788990825688, 'recall': 0.7972805933250927, 'f1': 0.7674003569303985, 'number': 809} | {'precision': 0.4405594405594406, 'recall': 0.5294117647058824, 'f1': 0.48091603053435117, 'number': 119}   | {'precision': 0.8108356290174472, 'recall': 0.8291079812206573, 'f1': 0.819870009285051, 'number': 1065}  | 0.7562            | 0.7983         | 0.7767     | 0.8085           |
-| 0.0186        | 47.0  | 235  | 1.1439          | {'precision': 0.738831615120275, 'recall': 0.7972805933250927, 'f1': 0.7669441141498216, 'number': 809}  | {'precision': 0.4405594405594406, 'recall': 0.5294117647058824, 'f1': 0.48091603053435117, 'number': 119}   | {'precision': 0.8110091743119267, 'recall': 0.8300469483568075, 'f1': 0.8204176334106729, 'number': 1065} | 0.7559            | 0.7988         | 0.7768     | 0.8090           |
-| 0.0212        | 48.0  | 240  | 1.1467          | {'precision': 0.736540664375716, 'recall': 0.7948084054388134, 'f1': 0.7645659928656362, 'number': 809}  | {'precision': 0.45323741007194246, 'recall': 0.5294117647058824, 'f1': 0.48837209302325585, 'number': 119}  | {'precision': 0.8115279048490394, 'recall': 0.8328638497652582, 'f1': 0.8220574606116775, 'number': 1065} | 0.7568            | 0.7993         | 0.7775     | 0.8092           |
-| 0.0212        | 49.0  | 245  | 1.1469          | {'precision': 0.7405281285878301, 'recall': 0.7972805933250927, 'f1': 0.7678571428571428, 'number': 809} | {'precision': 0.45323741007194246, 'recall': 0.5294117647058824, 'f1': 0.48837209302325585, 'number': 119}  | {'precision': 0.8115279048490394, 'recall': 0.8328638497652582, 'f1': 0.8220574606116775, 'number': 1065} | 0.7584            | 0.8003         | 0.7788     | 0.8098           |
-| 0.0179        | 50.0  | 250  | 1.1469          | {'precision': 0.7396788990825688, 'recall': 0.7972805933250927, 'f1': 0.7674003569303985, 'number': 809} | {'precision': 0.45323741007194246, 'recall': 0.5294117647058824, 'f1': 0.48837209302325585, 'number': 119}  | {'precision': 0.8115279048490394, 'recall': 0.8328638497652582, 'f1': 0.8220574606116775, 'number': 1065} | 0.7581            | 0.8003         | 0.7786     | 0.8101           |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the funsd dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6791
+- Answer: {'precision': 0.6752411575562701, 'recall': 0.7787391841779975, 'f1': 0.7233065442020666, 'number': 809}
+- Header: {'precision': 0.25742574257425743, 'recall': 0.2184873949579832, 'f1': 0.23636363636363636, 'number': 119}
+- Question: {'precision': 0.7172995780590717, 'recall': 0.7981220657276995, 'f1': 0.7555555555555554, 'number': 1065}
+- Overall Precision: 0.6787
+- Overall Recall: 0.7556
+- Overall F1: 0.7151
+- Overall Accuracy: 0.7962
 ## Model description
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Answer                                                                                                         | Header                                                                                                      | Question                                                                                                     | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 1.8311        | 1.0   | 5    | 1.7018          | {'precision': 0.015086206896551725, 'recall': 0.02595797280593325, 'f1': 0.01908223534756929, 'number': 809}   | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}                                                 | {'precision': 0.09192692987625221, 'recall': 0.14647887323943662, 'f1': 0.11296162201303404, 'number': 1065} | 0.0573            | 0.0888         | 0.0696     | 0.3364           |
+| 1.6261        | 2.0   | 10   | 1.5278          | {'precision': 0.018244013683010263, 'recall': 0.019777503090234856, 'f1': 0.018979833926453145, 'number': 809} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}                                                 | {'precision': 0.24725943970767356, 'recall': 0.19061032863849764, 'f1': 0.21527041357370094, 'number': 1065} | 0.1290            | 0.1099         | 0.1187     | 0.4110           |
+| 1.4654        | 3.0   | 15   | 1.3491          | {'precision': 0.07093023255813953, 'recall': 0.0754017305315204, 'f1': 0.07309766327142002, 'number': 809}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}                                                 | {'precision': 0.3611111111111111, 'recall': 0.3539906103286385, 'f1': 0.35751541014698907, 'number': 1065}   | 0.2300            | 0.2198         | 0.2248     | 0.5293           |
+| 1.2722        | 4.0   | 20   | 1.1745          | {'precision': 0.2922222222222222, 'recall': 0.32509270704573545, 'f1': 0.30778232884727913, 'number': 809}     | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}                                                 | {'precision': 0.4624, 'recall': 0.5427230046948357, 'f1': 0.49935205183585313, 'number': 1065}               | 0.3901            | 0.4220         | 0.4054     | 0.6268           |
+| 1.0874        | 5.0   | 25   | 1.0226          | {'precision': 0.4374331550802139, 'recall': 0.5055624227441285, 'f1': 0.4690366972477064, 'number': 809}       | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}                                                 | {'precision': 0.5391849529780565, 'recall': 0.6460093896713615, 'f1': 0.5877829987184965, 'number': 1065}    | 0.4897            | 0.5504         | 0.5183     | 0.6874           |
+| 0.9491        | 6.0   | 30   | 0.8969          | {'precision': 0.5340022296544036, 'recall': 0.5920889987639061, 'f1': 0.5615474794841734, 'number': 809}       | {'precision': 0.07317073170731707, 'recall': 0.025210084033613446, 'f1': 0.0375, 'number': 119}             | {'precision': 0.6014376996805112, 'recall': 0.7070422535211267, 'f1': 0.6499784203711697, 'number': 1065}    | 0.5639            | 0.6197         | 0.5905     | 0.7330           |
+| 0.8302        | 7.0   | 35   | 0.8232          | {'precision': 0.5977482088024565, 'recall': 0.7218788627935723, 'f1': 0.6539753639417694, 'number': 809}       | {'precision': 0.1568627450980392, 'recall': 0.06722689075630252, 'f1': 0.09411764705882353, 'number': 119}  | {'precision': 0.6558669001751314, 'recall': 0.7032863849765258, 'f1': 0.678749433620299, 'number': 1065}     | 0.6180            | 0.6729         | 0.6442     | 0.7457           |
+| 0.7414        | 8.0   | 40   | 0.7707          | {'precision': 0.6148300720906282, 'recall': 0.7379480840543882, 'f1': 0.6707865168539326, 'number': 809}       | {'precision': 0.18333333333333332, 'recall': 0.09243697478991597, 'f1': 0.12290502793296088, 'number': 119} | {'precision': 0.6633825944170771, 'recall': 0.7586854460093897, 'f1': 0.7078405606657906, 'number': 1065}    | 0.6296            | 0.7105         | 0.6676     | 0.7665           |
+| 0.671         | 9.0   | 45   | 0.7335          | {'precision': 0.6334012219959266, 'recall': 0.7688504326328801, 'f1': 0.6945840312674483, 'number': 809}       | {'precision': 0.2159090909090909, 'recall': 0.15966386554621848, 'f1': 0.18357487922705312, 'number': 119}  | {'precision': 0.6922413793103448, 'recall': 0.7539906103286385, 'f1': 0.7217977528089887, 'number': 1065}    | 0.6475            | 0.7245         | 0.6839     | 0.7742           |
+| 0.6278        | 10.0  | 50   | 0.7206          | {'precision': 0.649364406779661, 'recall': 0.757725587144623, 'f1': 0.6993725042783799, 'number': 809}         | {'precision': 0.21212121212121213, 'recall': 0.17647058823529413, 'f1': 0.1926605504587156, 'number': 119}  | {'precision': 0.6996587030716723, 'recall': 0.7699530516431925, 'f1': 0.7331247206079572, 'number': 1065}    | 0.6564            | 0.7296         | 0.6911     | 0.7847           |
+| 0.5974        | 11.0  | 55   | 0.7095          | {'precision': 0.653276955602537, 'recall': 0.7639060568603214, 'f1': 0.7042735042735042, 'number': 809}        | {'precision': 0.21505376344086022, 'recall': 0.16806722689075632, 'f1': 0.18867924528301888, 'number': 119} | {'precision': 0.7091531223267751, 'recall': 0.7784037558685446, 'f1': 0.7421665174574755, 'number': 1065}    | 0.6644            | 0.7361         | 0.6984     | 0.7852           |
+| 0.5594        | 12.0  | 60   | 0.6868          | {'precision': 0.6523076923076923, 'recall': 0.7861557478368356, 'f1': 0.7130044843049326, 'number': 809}       | {'precision': 0.2619047619047619, 'recall': 0.18487394957983194, 'f1': 0.21674876847290642, 'number': 119}  | {'precision': 0.7068376068376069, 'recall': 0.7765258215962442, 'f1': 0.7400447427293065, 'number': 1065}    | 0.6662            | 0.7451         | 0.7035     | 0.7909           |
+| 0.5374        | 13.0  | 65   | 0.6797          | {'precision': 0.655958549222798, 'recall': 0.7824474660074165, 'f1': 0.7136414881623451, 'number': 809}        | {'precision': 0.25842696629213485, 'recall': 0.19327731092436976, 'f1': 0.22115384615384615, 'number': 119} | {'precision': 0.7089678510998308, 'recall': 0.7868544600938967, 'f1': 0.7458834000890076, 'number': 1065}    | 0.6682            | 0.7496         | 0.7066     | 0.7926           |
+| 0.5196        | 14.0  | 70   | 0.6794          | {'precision': 0.673469387755102, 'recall': 0.7750309023485785, 'f1': 0.7206896551724138, 'number': 809}        | {'precision': 0.2631578947368421, 'recall': 0.21008403361344538, 'f1': 0.23364485981308414, 'number': 119}  | {'precision': 0.7148864592094197, 'recall': 0.7981220657276995, 'f1': 0.7542147293700088, 'number': 1065}    | 0.6781            | 0.7536         | 0.7139     | 0.7954           |
+| 0.5065        | 15.0  | 75   | 0.6791          | {'precision': 0.6752411575562701, 'recall': 0.7787391841779975, 'f1': 0.7233065442020666, 'number': 809}       | {'precision': 0.25742574257425743, 'recall': 0.2184873949579832, 'f1': 0.23636363636363636, 'number': 119}  | {'precision': 0.7172995780590717, 'recall': 0.7981220657276995, 'f1': 0.7555555555555554, 'number': 1065}    | 0.6787            | 0.7556         | 0.7151     | 0.7962           |
 ### Framework versions

logs/events.out.tfevents.1739237865.7bb0d3a186ea.31.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc013e96438e542db614bbd7ae6c1148cfd7fd01cd181d5051a00fd00862f327
-size 14422

 version https://git-lfs.github.com/spec/v1
+oid sha256:387ac00b9e475925e2a8c87f72a12634cb8eb3df329ae6adb90b387b2c13ea09
+size 16174

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f87fb4bc5ce4be51a137c52dc19a0287ef09377d482180da8326d3a50d94c50c
 size 450558212

 version https://git-lfs.github.com/spec/v1
+oid sha256:989c178bfc1c5b1c738b12b456b7dd43af8ce022886f551088ca4f9a6641bc56
 size 450558212