File size: 36,317 Bytes
84c1492
 
 
 
 
 
f2d0675
84c1492
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
---
license: apache-2.0
base_model: sentence-transformers/paraphrase-MiniLM-L3-v2
tags:
- generated_from_trainer
datasets:
- napsternxg/nyt_ingredients
model-index:
- name: nyt_ingredients-tagger-paraphrase-MiniLM-L3-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nyt_ingredients-tagger-paraphrase-MiniLM-L3-v2

This model is a fine-tuned version of [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) on the nyt_ingredients dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4826
- Comment: {'precision': 0.641354292623942, 'recall': 0.7546955036994878, 'f1': 0.6934239769904563, 'number': 7028}
- Name: {'precision': 0.7884535655058044, 'recall': 0.8198965294244449, 'f1': 0.8038676952340695, 'number': 9278}
- Qty: {'precision': 0.9891548736939558, 'recall': 0.9878483687755911, 'f1': 0.9885011895321174, 'number': 7571}
- Range End: {'precision': 0.813953488372093, 'recall': 0.7526881720430108, 'f1': 0.782122905027933, 'number': 93}
- Unit: {'precision': 0.9268482490272374, 'recall': 0.9833223249669749, 'f1': 0.9542504607002644, 'number': 6056}
- Overall Precision: 0.8257
- Overall Recall: 0.8797
- Overall F1: 0.8519
- Overall Accuracy: 0.8289

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Comment                                                                                                   | Name                                                                                                      | Qty                                                                                                       | Range End                                                                                                | Unit                                                                                                      | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.7174        | 0.2   | 1000  | 0.6566          | {'precision': 0.5088729580444236, 'recall': 0.6345252051582649, 'f1': 0.5647948868453662, 'number': 6824} | {'precision': 0.7654784240150094, 'recall': 0.7879132114052028, 'f1': 0.7765338110165697, 'number': 8803} | {'precision': 0.9619699042407661, 'recall': 0.9810267857142857, 'f1': 0.9714048901782015, 'number': 7168} | {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 82}                                               | {'precision': 0.9151633349585568, 'recall': 0.9784535186794092, 'f1': 0.945750755794424, 'number': 5755}  | 0.7711            | 0.8357         | 0.8021     | 0.7841           |
| 0.6076        | 0.4   | 2000  | 0.5845          | {'precision': 0.5363414634146342, 'recall': 0.6444900351699883, 'f1': 0.5854632587859425, 'number': 6824} | {'precision': 0.7547189819724284, 'recall': 0.8084743837328183, 'f1': 0.7806724071738058, 'number': 8803} | {'precision': 0.974110480409802, 'recall': 0.9815848214285714, 'f1': 0.9778333680772705, 'number': 7168}  | {'precision': 0.6, 'recall': 0.14634146341463414, 'f1': 0.23529411764705882, 'number': 82}               | {'precision': 0.9114658925979681, 'recall': 0.9821025195482189, 'f1': 0.9454667112746737, 'number': 5755} | 0.7793            | 0.8457         | 0.8111     | 0.7988           |
| 0.5777        | 0.59  | 3000  | 0.5503          | {'precision': 0.55049786628734, 'recall': 0.6805392731535757, 'f1': 0.6086500655307995, 'number': 6824}   | {'precision': 0.7717766278568349, 'recall': 0.8132454844939225, 'f1': 0.7919685823330935, 'number': 8803} | {'precision': 0.9715620277510647, 'recall': 0.9866071428571429, 'f1': 0.9790267875683533, 'number': 7168} | {'precision': 0.45714285714285713, 'recall': 0.5853658536585366, 'f1': 0.5133689839572192, 'number': 82} | {'precision': 0.9229885057471264, 'recall': 0.9767158992180712, 'f1': 0.9490924440692275, 'number': 5755} | 0.7870            | 0.8572         | 0.8206     | 0.8056           |
| 0.553         | 0.79  | 4000  | 0.5343          | {'precision': 0.5713428537141486, 'recall': 0.6976846424384525, 'f1': 0.6282245827010623, 'number': 6824} | {'precision': 0.7823947512301804, 'recall': 0.812791093945246, 'f1': 0.7973033207042568, 'number': 8803}  | {'precision': 0.9756500206355757, 'recall': 0.9893973214285714, 'f1': 0.9824755835699939, 'number': 7168} | {'precision': 0.5465116279069767, 'recall': 0.573170731707317, 'f1': 0.5595238095238095, 'number': 82}   | {'precision': 0.9150137074665377, 'recall': 0.9859252823631625, 'f1': 0.9491468718634996, 'number': 5755} | 0.7968            | 0.8637         | 0.8289     | 0.8122           |
| 0.5407        | 0.99  | 5000  | 0.5183          | {'precision': 0.5958625785001848, 'recall': 0.7091148886283705, 'f1': 0.6475744396119103, 'number': 6824} | {'precision': 0.787269129287599, 'recall': 0.8134726797682609, 'f1': 0.8001564333202973, 'number': 8803}  | {'precision': 0.9823488533703961, 'recall': 0.9860491071428571, 'f1': 0.9841955023323818, 'number': 7168} | {'precision': 0.5294117647058824, 'recall': 0.7682926829268293, 'f1': 0.626865671641791, 'number': 82}   | {'precision': 0.9231271421576628, 'recall': 0.9827975673327541, 'f1': 0.9520282780676653, 'number': 5755} | 0.8085            | 0.8657         | 0.8361     | 0.8186           |
| 0.5109        | 1.19  | 6000  | 0.5210          | {'precision': 0.611145206824598, 'recall': 0.729630715123095, 'f1': 0.6651526284149355, 'number': 6824}   | {'precision': 0.788943623426382, 'recall': 0.8186981710780415, 'f1': 0.803545545768759, 'number': 8803}   | {'precision': 0.9822370247016375, 'recall': 0.9874441964285714, 'f1': 0.9848337275636566, 'number': 7168} | {'precision': 0.5614035087719298, 'recall': 0.7804878048780488, 'f1': 0.653061224489796, 'number': 82}   | {'precision': 0.924762839385018, 'recall': 0.9824500434404866, 'f1': 0.9527340129749768, 'number': 5755}  | 0.8133            | 0.8725         | 0.8419     | 0.8201           |
| 0.5125        | 1.39  | 7000  | 0.5072          | {'precision': 0.607906114885732, 'recall': 0.7211313012895663, 'f1': 0.6596956900596554, 'number': 6824}  | {'precision': 0.7913407513495648, 'recall': 0.8159718277859821, 'f1': 0.8034675615212529, 'number': 8803} | {'precision': 0.983300862788756, 'recall': 0.9857700892857143, 'f1': 0.9845339278249966, 'number': 7168}  | {'precision': 0.5714285714285714, 'recall': 0.7317073170731707, 'f1': 0.641711229946524, 'number': 82}   | {'precision': 0.9279947273026857, 'recall': 0.978627280625543, 'f1': 0.952638700947226, 'number': 5755}   | 0.8143            | 0.8683         | 0.8404     | 0.8215           |
| 0.4967        | 1.58  | 8000  | 0.5088          | {'precision': 0.6126803996546195, 'recall': 0.7278722157092614, 'f1': 0.6653271716562856, 'number': 6824} | {'precision': 0.7949600355239786, 'recall': 0.8134726797682609, 'f1': 0.8041098197742967, 'number': 8803} | {'precision': 0.9813148788927336, 'recall': 0.9891183035714286, 'f1': 0.9852011394427846, 'number': 7168} | {'precision': 0.503448275862069, 'recall': 0.8902439024390244, 'f1': 0.6431718061674009, 'number': 82}   | {'precision': 0.9266295447101212, 'recall': 0.9831450912250217, 'f1': 0.9540510918135063, 'number': 5755} | 0.8156            | 0.8714         | 0.8425     | 0.8218           |
| 0.5121        | 1.78  | 9000  | 0.5022          | {'precision': 0.6241911398705824, 'recall': 0.735052754982415, 'f1': 0.6751009421265142, 'number': 6824}  | {'precision': 0.7883291443558081, 'recall': 0.8194933545382256, 'f1': 0.803609223571349, 'number': 8803}  | {'precision': 0.9850642099385818, 'recall': 0.9845145089285714, 'f1': 0.9847892827239743, 'number': 7168} | {'precision': 0.5238095238095238, 'recall': 0.8048780487804879, 'f1': 0.6346153846153846, 'number': 82}  | {'precision': 0.9253999347045381, 'recall': 0.9850564726324935, 'f1': 0.9542967763656258, 'number': 5755} | 0.8176            | 0.8739         | 0.8448     | 0.8248           |
| 0.5008        | 1.98  | 10000 | 0.4998          | {'precision': 0.6337506387327542, 'recall': 0.7269929660023446, 'f1': 0.6771771771771772, 'number': 6824} | {'precision': 0.7910726036411494, 'recall': 0.8193797569010565, 'f1': 0.8049774008146867, 'number': 8803} | {'precision': 0.9698246567894522, 'recall': 0.9953962053571429, 'f1': 0.9824440619621343, 'number': 7168} | {'precision': 0.47468354430379744, 'recall': 0.9146341463414634, 'f1': 0.625, 'number': 82}              | {'precision': 0.9263984298331698, 'recall': 0.9841876629018245, 'f1': 0.9544190749010025, 'number': 5755} | 0.8192            | 0.8748         | 0.8461     | 0.8250           |
| 0.4863        | 2.18  | 11000 | 0.4954          | {'precision': 0.6343217665615142, 'recall': 0.736664712778429, 'f1': 0.6816733337853415, 'number': 6824}  | {'precision': 0.7913881888901063, 'recall': 0.820515733272748, 'f1': 0.8056887897378694, 'number': 8803}  | {'precision': 0.9850787895690978, 'recall': 0.9854910714285714, 'f1': 0.9852848873701096, 'number': 7168} | {'precision': 0.6122448979591837, 'recall': 0.7317073170731707, 'f1': 0.6666666666666666, 'number': 82}  | {'precision': 0.9250367466927977, 'recall': 0.9841876629018245, 'f1': 0.9536959084020878, 'number': 5755} | 0.8224            | 0.8745         | 0.8477     | 0.8273           |
| 0.4893        | 2.38  | 12000 | 0.4947          | {'precision': 0.6325136612021858, 'recall': 0.7463364595545134, 'f1': 0.6847270771712826, 'number': 6824} | {'precision': 0.7868191721132898, 'recall': 0.820515733272748, 'f1': 0.8033142412278262, 'number': 8803}  | {'precision': 0.9809207797594359, 'recall': 0.9898158482142857, 'f1': 0.9853482397055761, 'number': 7168} | {'precision': 0.5068493150684932, 'recall': 0.9024390243902439, 'f1': 0.6491228070175438, 'number': 82}  | {'precision': 0.9245928338762215, 'recall': 0.9864465682015638, 'f1': 0.9545187053383775, 'number': 5755} | 0.8182            | 0.8788         | 0.8474     | 0.8257           |
| 0.489         | 2.57  | 13000 | 0.4869          | {'precision': 0.635054931178179, 'recall': 0.736957796014068, 'f1': 0.6822220714915552, 'number': 6824}   | {'precision': 0.7892552959161389, 'recall': 0.8210837214585937, 'f1': 0.8048549635320973, 'number': 8803} | {'precision': 0.9829498197948433, 'recall': 0.9892578125, 'f1': 0.9860937282714505, 'number': 7168}       | {'precision': 0.5298507462686567, 'recall': 0.8658536585365854, 'f1': 0.6574074074074074, 'number': 82}  | {'precision': 0.9235896602178507, 'recall': 0.9871416159860991, 'f1': 0.9543087518898035, 'number': 5755} | 0.8209            | 0.8766         | 0.8479     | 0.8272           |
| 0.4691        | 2.77  | 14000 | 0.4905          | {'precision': 0.6450718427022939, 'recall': 0.75, 'f1': 0.6935899173329719, 'number': 6824}               | {'precision': 0.7925502692011867, 'recall': 0.8193797569010565, 'f1': 0.8057417336907953, 'number': 8803} | {'precision': 0.9818584683561834, 'recall': 0.9891183035714286, 'f1': 0.9854750156369451, 'number': 7168} | {'precision': 0.5481481481481482, 'recall': 0.9024390243902439, 'f1': 0.6820276497695853, 'number': 82}  | {'precision': 0.9296515450361604, 'recall': 0.9827975673327541, 'f1': 0.9554861052453754, 'number': 5755} | 0.8253            | 0.8784         | 0.8510     | 0.8283           |
| 0.4781        | 2.97  | 15000 | 0.4878          | {'precision': 0.6444919517102615, 'recall': 0.7510257913247362, 'f1': 0.6936924742826204, 'number': 6824} | {'precision': 0.7942146942366916, 'recall': 0.8202885379984096, 'f1': 0.8070410729253981, 'number': 8803} | {'precision': 0.98375, 'recall': 0.9881417410714286, 'f1': 0.9859409799554566, 'number': 7168}            | {'precision': 0.5433070866141733, 'recall': 0.8414634146341463, 'f1': 0.6602870813397129, 'number': 82}  | {'precision': 0.9268651832460733, 'recall': 0.9843614248479583, 'f1': 0.9547484621218505, 'number': 5755} | 0.8255            | 0.8788         | 0.8513     | 0.8293           |
| 0.4599        | 3.17  | 16000 | 0.4852          | {'precision': 0.6450299096347206, 'recall': 0.742672919109027, 'f1': 0.6904161841836387, 'number': 6824}  | {'precision': 0.7944048272078991, 'recall': 0.8225604907417926, 'f1': 0.8082375265096551, 'number': 8803} | {'precision': 0.983072013320383, 'recall': 0.9884207589285714, 'f1': 0.9857391304347826, 'number': 7168}  | {'precision': 0.5289855072463768, 'recall': 0.8902439024390244, 'f1': 0.6636363636363637, 'number': 82}  | {'precision': 0.9331015068719987, 'recall': 0.9791485664639444, 'f1': 0.9555706291334577, 'number': 5755} | 0.8269            | 0.8767         | 0.8511     | 0.8306           |
| 0.4636        | 3.37  | 17000 | 0.4889          | {'precision': 0.6520854526958291, 'recall': 0.7514654161781946, 'f1': 0.6982570806100218, 'number': 6824} | {'precision': 0.7879774305555556, 'recall': 0.8249460411223447, 'f1': 0.8060380709251347, 'number': 8803} | {'precision': 0.9818785447503112, 'recall': 0.990234375, 'f1': 0.9860387580745988, 'number': 7168}        | {'precision': 0.46875, 'recall': 0.9146341463414634, 'f1': 0.6198347107438017, 'number': 82}             | {'precision': 0.9251711770459733, 'recall': 0.9860990443092963, 'f1': 0.9546639751030365, 'number': 5755} | 0.8247            | 0.8815         | 0.8521     | 0.8303           |
| 0.4688        | 3.56  | 18000 | 0.4901          | {'precision': 0.6491074772188241, 'recall': 0.7620164126611958, 'f1': 0.7010448264239973, 'number': 6824} | {'precision': 0.7955320787938813, 'recall': 0.8211973190957628, 'f1': 0.8081609837898266, 'number': 8803} | {'precision': 0.9829474559822543, 'recall': 0.9891183035714286, 'f1': 0.9860232250886588, 'number': 7168} | {'precision': 0.5526315789473685, 'recall': 0.7682926829268293, 'f1': 0.6428571428571429, 'number': 82}  | {'precision': 0.9250325945241199, 'recall': 0.98627280625543, 'f1': 0.9546716003700276, 'number': 5755}   | 0.8265            | 0.8822         | 0.8534     | 0.8319           |
| 0.4584        | 3.76  | 19000 | 0.4824          | {'precision': 0.65155342258146, 'recall': 0.7560082063305978, 'f1': 0.6999050332383666, 'number': 6824}   | {'precision': 0.7932665859830564, 'recall': 0.819038963989549, 'f1': 0.8059467918622849, 'number': 8803}  | {'precision': 0.981740213030848, 'recall': 0.9900948660714286, 'f1': 0.9858998402444954, 'number': 7168}  | {'precision': 0.5289855072463768, 'recall': 0.8902439024390244, 'f1': 0.6636363636363637, 'number': 82}  | {'precision': 0.9315113598946329, 'recall': 0.9831450912250217, 'f1': 0.956632006086736, 'number': 5755}  | 0.8275            | 0.8800         | 0.8530     | 0.8307           |
| 0.4701        | 3.96  | 20000 | 0.4806          | {'precision': 0.6606470053267507, 'recall': 0.7451641266119577, 'f1': 0.7003649886371462, 'number': 6824} | {'precision': 0.7948661693725319, 'recall': 0.8231284789276383, 'f1': 0.8087504883084994, 'number': 8803} | {'precision': 0.9844357976653697, 'recall': 0.98828125, 'f1': 0.98635477582846, 'number': 7168}           | {'precision': 0.5384615384615384, 'recall': 0.8536585365853658, 'f1': 0.660377358490566, 'number': 82}   | {'precision': 0.9314549349151425, 'recall': 0.9822762814943528, 'f1': 0.956190798376184, 'number': 5755}  | 0.8322            | 0.8780         | 0.8545     | 0.8329           |
| 0.4441        | 4.16  | 21000 | 0.4863          | {'precision': 0.6520674996779595, 'recall': 0.7417936694021102, 'f1': 0.6940426407074792, 'number': 6824} | {'precision': 0.7900534409423056, 'recall': 0.8229012836533001, 'f1': 0.8061428889383486, 'number': 8803} | {'precision': 0.9831851028349082, 'recall': 0.9870256696428571, 'f1': 0.9851016429963798, 'number': 7168} | {'precision': 0.5882352941176471, 'recall': 0.7317073170731707, 'f1': 0.6521739130434783, 'number': 82}  | {'precision': 0.9332010582010583, 'recall': 0.9807124239791486, 'f1': 0.9563670253325427, 'number': 5755} | 0.8285            | 0.8761         | 0.8516     | 0.8310           |
| 0.4375        | 4.36  | 22000 | 0.4853          | {'precision': 0.6539783577339274, 'recall': 0.7527842907385698, 'f1': 0.699911438108863, 'number': 6824}  | {'precision': 0.7924075488164066, 'recall': 0.8251732363966829, 'f1': 0.8084585420144685, 'number': 8803} | {'precision': 0.9818735298187353, 'recall': 0.9899553571428571, 'f1': 0.985897881208753, 'number': 7168}  | {'precision': 0.5103448275862069, 'recall': 0.9024390243902439, 'f1': 0.6519823788546256, 'number': 82}  | {'precision': 0.9296490652673007, 'recall': 0.9850564726324935, 'f1': 0.9565510841137266, 'number': 5755} | 0.8278            | 0.8815         | 0.8538     | 0.8326           |
| 0.4566        | 4.55  | 23000 | 0.4807          | {'precision': 0.6580237358101135, 'recall': 0.7475087924970691, 'f1': 0.6999176728869374, 'number': 6824} | {'precision': 0.7963125548726954, 'recall': 0.8242644552993298, 'f1': 0.8100474462740721, 'number': 8803} | {'precision': 0.9836270292770917, 'recall': 0.9889787946428571, 'f1': 0.9862956521739129, 'number': 7168} | {'precision': 0.6090909090909091, 'recall': 0.8170731707317073, 'f1': 0.6979166666666666, 'number': 82}  | {'precision': 0.9343936381709742, 'recall': 0.9800173761946134, 'f1': 0.9566618607412434, 'number': 5755} | 0.8324            | 0.8785         | 0.8548     | 0.8325           |
| 0.4546        | 4.75  | 24000 | 0.4797          | {'precision': 0.6631361405321622, 'recall': 0.7523446658851114, 'f1': 0.7049292873815736, 'number': 6824} | {'precision': 0.7910382513661203, 'recall': 0.8222196978302851, 'f1': 0.8063276332646355, 'number': 8803} | {'precision': 0.985369931726348, 'recall': 0.9866071428571429, 'f1': 0.9859881491808993, 'number': 7168}  | {'precision': 0.651685393258427, 'recall': 0.7073170731707317, 'f1': 0.6783625730994152, 'number': 82}   | {'precision': 0.9321222130470685, 'recall': 0.9807124239791486, 'f1': 0.9558001693480102, 'number': 5755} | 0.8323            | 0.8782         | 0.8547     | 0.8324           |
| 0.4462        | 4.95  | 25000 | 0.4855          | {'precision': 0.6583979328165375, 'recall': 0.7467760844079718, 'f1': 0.6998077451249656, 'number': 6824} | {'precision': 0.7887430864331417, 'recall': 0.8261956151312053, 'f1': 0.8070350643586329, 'number': 8803} | {'precision': 0.9822788315104527, 'recall': 0.9898158482142857, 'f1': 0.9860329372524493, 'number': 7168} | {'precision': 0.5390625, 'recall': 0.8414634146341463, 'f1': 0.6571428571428573, 'number': 82}           | {'precision': 0.9290873276428102, 'recall': 0.9834926151172894, 'f1': 0.9555161644298135, 'number': 5755} | 0.8286            | 0.8799         | 0.8535     | 0.8325           |
| 0.433         | 5.15  | 26000 | 0.4934          | {'precision': 0.656934306569343, 'recall': 0.7517584994138335, 'f1': 0.7011549238023645, 'number': 6824}  | {'precision': 0.7907638432917488, 'recall': 0.8208565261842554, 'f1': 0.805529234713784, 'number': 8803}  | {'precision': 0.9852367688022284, 'recall': 0.9868861607142857, 'f1': 0.9860607750209088, 'number': 7168} | {'precision': 0.5172413793103449, 'recall': 0.9146341463414634, 'f1': 0.6607929515418502, 'number': 82}  | {'precision': 0.935024034477043, 'recall': 0.9801911381407472, 'f1': 0.9570749915167968, 'number': 5755}  | 0.8298            | 0.8782         | 0.8533     | 0.8298           |
| 0.442         | 5.35  | 27000 | 0.4850          | {'precision': 0.6560364464692483, 'recall': 0.7596717467760844, 'f1': 0.7040608447643624, 'number': 6824} | {'precision': 0.7970520294797052, 'recall': 0.8231284789276383, 'f1': 0.8098804068402817, 'number': 8803} | {'precision': 0.9842902822188239, 'recall': 0.9877232142857143, 'f1': 0.9860037601838312, 'number': 7168} | {'precision': 0.5407407407407407, 'recall': 0.8902439024390244, 'f1': 0.6728110599078342, 'number': 82}  | {'precision': 0.9294735115630638, 'recall': 0.9847089487402259, 'f1': 0.956294296321296, 'number': 5755}  | 0.8301            | 0.8819         | 0.8552     | 0.8333           |
| 0.4348        | 5.54  | 28000 | 0.4909          | {'precision': 0.6646636185499674, 'recall': 0.7456037514654161, 'f1': 0.7028109676082602, 'number': 6824} | {'precision': 0.7959763831183031, 'recall': 0.8269907985913894, 'f1': 0.8111872527717422, 'number': 8803} | {'precision': 0.982281284606866, 'recall': 0.9899553571428571, 'f1': 0.9861033907726514, 'number': 7168}  | {'precision': 0.5867768595041323, 'recall': 0.8658536585365854, 'f1': 0.6995073891625616, 'number': 82}  | {'precision': 0.9282555282555283, 'recall': 0.9847089487402259, 'f1': 0.9556492411467116, 'number': 5755} | 0.8331            | 0.8802         | 0.8560     | 0.8320           |
| 0.4324        | 5.74  | 29000 | 0.4822          | {'precision': 0.6659320715582059, 'recall': 0.7527842907385698, 'f1': 0.7066996835878389, 'number': 6824} | {'precision': 0.7957977675640184, 'recall': 0.8260820174940361, 'f1': 0.8106571540047935, 'number': 8803} | {'precision': 0.9828278631768453, 'recall': 0.9900948660714286, 'f1': 0.9864479810966712, 'number': 7168} | {'precision': 0.5982905982905983, 'recall': 0.8536585365853658, 'f1': 0.7035175879396985, 'number': 82}  | {'precision': 0.9346850589995014, 'recall': 0.9772371850564726, 'f1': 0.9554875976894326, 'number': 5755} | 0.8342            | 0.8801         | 0.8566     | 0.8341           |
| 0.4375        | 5.94  | 30000 | 0.4843          | {'precision': 0.6641568220173958, 'recall': 0.7497069167643611, 'f1': 0.70434363598816, 'number': 6824}   | {'precision': 0.7948914711686034, 'recall': 0.823696467113484, 'f1': 0.8090376569037656, 'number': 8803}  | {'precision': 0.9834836918806384, 'recall': 0.9885602678571429, 'f1': 0.9860154456272177, 'number': 7168} | {'precision': 0.5352112676056338, 'recall': 0.926829268292683, 'f1': 0.6785714285714285, 'number': 82}   | {'precision': 0.9328703703703703, 'recall': 0.9803649000868809, 'f1': 0.9560281284419215, 'number': 5755} | 0.8329            | 0.8791         | 0.8554     | 0.8328           |
| 0.4226        | 6.14  | 31000 | 0.4878          | {'precision': 0.6603463531791177, 'recall': 0.7655334114888629, 'f1': 0.7090600610790635, 'number': 6824} | {'precision': 0.7907611663208475, 'recall': 0.8225604907417926, 'f1': 0.806347438752784, 'number': 8803}  | {'precision': 0.9829356270810211, 'recall': 0.9884207589285714, 'f1': 0.9856705620478576, 'number': 7168} | {'precision': 0.5241379310344828, 'recall': 0.926829268292683, 'f1': 0.669603524229075, 'number': 82}    | {'precision': 0.9298015417418403, 'recall': 0.9850564726324935, 'f1': 0.9566317921025986, 'number': 5755} | 0.8289            | 0.8835         | 0.8553     | 0.8336           |
| 0.4305        | 6.34  | 32000 | 0.4837          | {'precision': 0.6565505182964906, 'recall': 0.770369284876905, 'f1': 0.7089205043489988, 'number': 6824}  | {'precision': 0.8005732554293904, 'recall': 0.8249460411223447, 'f1': 0.8125769273805529, 'number': 8803} | {'precision': 0.985369931726348, 'recall': 0.9866071428571429, 'f1': 0.9859881491808993, 'number': 7168}  | {'precision': 0.5528455284552846, 'recall': 0.8292682926829268, 'f1': 0.6634146341463415, 'number': 82}  | {'precision': 0.9309437684972048, 'recall': 0.9838401390095569, 'f1': 0.956661316211878, 'number': 5755}  | 0.8313            | 0.8844         | 0.8570     | 0.8342           |
| 0.4142        | 6.53  | 33000 | 0.4862          | {'precision': 0.6611656843483955, 'recall': 0.7397420867526378, 'f1': 0.6982502247734974, 'number': 6824} | {'precision': 0.7957059918939643, 'recall': 0.8251732363966829, 'f1': 0.8101717599821548, 'number': 8803} | {'precision': 0.9761611179613646, 'recall': 0.9940011160714286, 'f1': 0.9850003456141564, 'number': 7168} | {'precision': 0.5323741007194245, 'recall': 0.9024390243902439, 'f1': 0.669683257918552, 'number': 82}   | {'precision': 0.9326843755155915, 'recall': 0.9822762814943528, 'f1': 0.9568381855111713, 'number': 5755} | 0.8315            | 0.8789         | 0.8545     | 0.8332           |
| 0.4327        | 6.73  | 34000 | 0.4835          | {'precision': 0.6665352260778128, 'recall': 0.7431125439624854, 'f1': 0.7027439024390244, 'number': 6824} | {'precision': 0.7882020026121027, 'recall': 0.8226740883789617, 'f1': 0.8050692012673003, 'number': 8803} | {'precision': 0.9820317899101589, 'recall': 0.9912109375, 'f1': 0.9866000138859959, 'number': 7168}       | {'precision': 0.5833333333333334, 'recall': 0.8536585365853658, 'f1': 0.6930693069306931, 'number': 82}  | {'precision': 0.9306035191580332, 'recall': 0.9833188531711555, 'f1': 0.9562352145995269, 'number': 5755} | 0.8318            | 0.8783         | 0.8544     | 0.8330           |
| 0.4299        | 6.93  | 35000 | 0.4833          | {'precision': 0.660639246147969, 'recall': 0.7602579132473622, 'f1': 0.706956462492335, 'number': 6824}   | {'precision': 0.7949644225506295, 'recall': 0.8249460411223447, 'f1': 0.8096777790166128, 'number': 8803} | {'precision': 0.9836133870295792, 'recall': 0.9881417410714286, 'f1': 0.9858723641171967, 'number': 7168} | {'precision': 0.5401459854014599, 'recall': 0.9024390243902439, 'f1': 0.6757990867579909, 'number': 82}  | {'precision': 0.9348582794629537, 'recall': 0.9800173761946134, 'f1': 0.9569053274516457, 'number': 5755} | 0.8316            | 0.8818         | 0.8560     | 0.8333           |
| 0.4165        | 7.13  | 36000 | 0.4871          | {'precision': 0.6667525441195414, 'recall': 0.7584994138335287, 'f1': 0.7096729965037363, 'number': 6824} | {'precision': 0.7905082536924414, 'recall': 0.8268772009542201, 'f1': 0.8082838265504414, 'number': 8803} | {'precision': 0.9828278631768453, 'recall': 0.9900948660714286, 'f1': 0.9864479810966712, 'number': 7168} | {'precision': 0.5303030303030303, 'recall': 0.8536585365853658, 'f1': 0.6542056074766355, 'number': 82}  | {'precision': 0.930909689093601, 'recall': 0.9833188531711555, 'f1': 0.9563968227142133, 'number': 5755}  | 0.8315            | 0.8830         | 0.8565     | 0.8348           |
| 0.4213        | 7.33  | 37000 | 0.4882          | {'precision': 0.667705088265836, 'recall': 0.753810082063306, 'f1': 0.7081497797356828, 'number': 6824}   | {'precision': 0.7934001306904814, 'recall': 0.827558786777235, 'f1': 0.8101195440644984, 'number': 8803}  | {'precision': 0.983754512635379, 'recall': 0.9884207589285714, 'f1': 0.9860821155184412, 'number': 7168}  | {'precision': 0.5333333333333333, 'recall': 0.8780487804878049, 'f1': 0.663594470046083, 'number': 82}   | {'precision': 0.9285831285831286, 'recall': 0.9850564726324935, 'f1': 0.9559865092748736, 'number': 5755} | 0.8327            | 0.8821         | 0.8567     | 0.8333           |
| 0.4122        | 7.52  | 38000 | 0.4914          | {'precision': 0.660262119862578, 'recall': 0.7604044548651817, 'f1': 0.7068037866920929, 'number': 6824}  | {'precision': 0.7921752397558849, 'recall': 0.8257412245825286, 'f1': 0.8086100450525612, 'number': 8803} | {'precision': 0.9839090026355944, 'recall': 0.9895368303571429, 'f1': 0.9867148918411351, 'number': 7168} | {'precision': 0.5714285714285714, 'recall': 0.8292682926829268, 'f1': 0.6766169154228855, 'number': 82}  | {'precision': 0.9313693219223174, 'recall': 0.9833188531711555, 'f1': 0.9566393373341222, 'number': 5755} | 0.8304            | 0.8829         | 0.8559     | 0.8337           |
| 0.4034        | 7.72  | 39000 | 0.4884          | {'precision': 0.6667092815136794, 'recall': 0.7642145369284877, 'f1': 0.7121398334016114, 'number': 6824} | {'precision': 0.7976099111939481, 'recall': 0.8264228104055436, 'f1': 0.8117607676857844, 'number': 8803} | {'precision': 0.984309913912802, 'recall': 0.9889787946428571, 'f1': 0.9866388308977034, 'number': 7168}  | {'precision': 0.568, 'recall': 0.8658536585365854, 'f1': 0.6859903381642511, 'number': 82}               | {'precision': 0.9304733727810651, 'recall': 0.9836663770634231, 'f1': 0.9563307711799983, 'number': 5755} | 0.8339            | 0.8840         | 0.8582     | 0.8344           |
| 0.4209        | 7.92  | 40000 | 0.4910          | {'precision': 0.6634454322896534, 'recall': 0.7545427901524033, 'f1': 0.706067877956805, 'number': 6824}  | {'precision': 0.7984163642362256, 'recall': 0.8247188458480064, 'f1': 0.81135449262405, 'number': 8803}   | {'precision': 0.9832317073170732, 'recall': 0.9898158482142857, 'f1': 0.9865127919911012, 'number': 7168} | {'precision': 0.5413533834586466, 'recall': 0.8780487804878049, 'f1': 0.6697674418604651, 'number': 82}  | {'precision': 0.9315789473684211, 'recall': 0.9841876629018245, 'f1': 0.9571609632446134, 'number': 5755} | 0.8335            | 0.8815         | 0.8568     | 0.8327           |
| 0.4078        | 8.12  | 41000 | 0.4923          | {'precision': 0.6621812123542228, 'recall': 0.7571805392731535, 'f1': 0.7065016749846176, 'number': 6824} | {'precision': 0.7941208611080757, 'recall': 0.8255140293081904, 'f1': 0.8095132004010249, 'number': 8803} | {'precision': 0.9834882752879145, 'recall': 0.9888392857142857, 'f1': 0.9861565217391305, 'number': 7168} | {'precision': 0.5581395348837209, 'recall': 0.8780487804878049, 'f1': 0.6824644549763034, 'number': 82}  | {'precision': 0.9316534914361001, 'recall': 0.982971329278888, 'f1': 0.9566246723598546, 'number': 5755}  | 0.8317            | 0.8819         | 0.8561     | 0.8335           |
| 0.4098        | 8.32  | 42000 | 0.4903          | {'precision': 0.6613067891781521, 'recall': 0.7593786635404455, 'f1': 0.7069577080491133, 'number': 6824} | {'precision': 0.7961356899769458, 'recall': 0.8238100647506532, 'f1': 0.8097364895042429, 'number': 8803} | {'precision': 0.9838888888888889, 'recall': 0.98828125, 'f1': 0.9860801781737194, 'number': 7168}         | {'precision': 0.5669291338582677, 'recall': 0.8780487804878049, 'f1': 0.6889952153110047, 'number': 82}  | {'precision': 0.9302478253733792, 'recall': 0.9848827106863597, 'f1': 0.9567859554355165, 'number': 5755} | 0.8318            | 0.8822         | 0.8562     | 0.8344           |
| 0.4009        | 8.51  | 43000 | 0.4936          | {'precision': 0.6647553516819572, 'recall': 0.7645076201641267, 'f1': 0.7111504907306434, 'number': 6824} | {'precision': 0.7969554265688314, 'recall': 0.8266500056798819, 'f1': 0.8115311698449873, 'number': 8803} | {'precision': 0.9840366463076069, 'recall': 0.9889787946428571, 'f1': 0.9865015307542444, 'number': 7168} | {'precision': 0.5689655172413793, 'recall': 0.8048780487804879, 'f1': 0.6666666666666667, 'number': 82}  | {'precision': 0.9306605323693723, 'recall': 0.9841876629018245, 'f1': 0.9566759564225994, 'number': 5755} | 0.8331            | 0.8841         | 0.8578     | 0.8348           |
| 0.41          | 8.71  | 44000 | 0.4894          | {'precision': 0.6659480025364616, 'recall': 0.7694900351699883, 'f1': 0.7139846352573254, 'number': 6824} | {'precision': 0.8019158775600088, 'recall': 0.8273315915028967, 'f1': 0.8144254962258876, 'number': 8803} | {'precision': 0.9834974344751075, 'recall': 0.9893973214285714, 'f1': 0.9864385562278323, 'number': 7168} | {'precision': 0.5407407407407407, 'recall': 0.8902439024390244, 'f1': 0.6728110599078342, 'number': 82}  | {'precision': 0.9306946953522746, 'recall': 0.9847089487402259, 'f1': 0.9569402228976698, 'number': 5755} | 0.8344            | 0.8859         | 0.8594     | 0.8359           |
| 0.4177        | 8.91  | 45000 | 0.4894          | {'precision': 0.6695323694151362, 'recall': 0.7532239155920282, 'f1': 0.7089166264395559, 'number': 6824} | {'precision': 0.7959273045763083, 'recall': 0.8258548222196979, 'f1': 0.810614930032893, 'number': 8803}  | {'precision': 0.9836270292770917, 'recall': 0.9889787946428571, 'f1': 0.9862956521739129, 'number': 7168} | {'precision': 0.5772357723577236, 'recall': 0.8658536585365854, 'f1': 0.6926829268292684, 'number': 82}  | {'precision': 0.9314370272936534, 'recall': 0.9843614248479583, 'f1': 0.9571682014023823, 'number': 5755} | 0.8350            | 0.8814         | 0.8575     | 0.8339           |
| 0.399         | 9.11  | 46000 | 0.4909          | {'precision': 0.6659901052898642, 'recall': 0.7693434935521688, 'f1': 0.7139457401237506, 'number': 6824} | {'precision': 0.7953452797202797, 'recall': 0.8268772009542201, 'f1': 0.8108047897521581, 'number': 8803} | {'precision': 0.9826725810923205, 'recall': 0.9889787946428571, 'f1': 0.9858156028368794, 'number': 7168} | {'precision': 0.5488721804511278, 'recall': 0.8902439024390244, 'f1': 0.6790697674418604, 'number': 82}  | {'precision': 0.9298820445609436, 'recall': 0.98627280625543, 'f1': 0.9572476600050595, 'number': 5755}   | 0.8321            | 0.8860         | 0.8582     | 0.8356           |
| 0.4066        | 9.31  | 47000 | 0.4892          | {'precision': 0.6655544147843943, 'recall': 0.7599648300117233, 'f1': 0.7096332785987959, 'number': 6824} | {'precision': 0.7964563053702286, 'recall': 0.8272179938657276, 'f1': 0.8115457483561797, 'number': 8803} | {'precision': 0.9824075356697604, 'recall': 0.9893973214285714, 'f1': 0.9858900396191006, 'number': 7168} | {'precision': 0.5538461538461539, 'recall': 0.8780487804878049, 'f1': 0.6792452830188679, 'number': 82}  | {'precision': 0.9298475659727914, 'recall': 0.9857515204170286, 'f1': 0.9569838056680162, 'number': 5755} | 0.8328            | 0.8838         | 0.8575     | 0.8340           |
| 0.397         | 9.5   | 48000 | 0.4918          | {'precision': 0.6680455015511892, 'recall': 0.757327080890973, 'f1': 0.7098901098901098, 'number': 6824}  | {'precision': 0.7944098700731521, 'recall': 0.8265364080427127, 'f1': 0.8101547711836098, 'number': 8803} | {'precision': 0.9830884391461048, 'recall': 0.9893973214285714, 'f1': 0.9862327909887358, 'number': 7168} | {'precision': 0.5625, 'recall': 0.8780487804878049, 'f1': 0.6857142857142857, 'number': 82}              | {'precision': 0.9305304647725406, 'recall': 0.9845351867940921, 'f1': 0.9567713610266801, 'number': 5755} | 0.8334            | 0.8827         | 0.8574     | 0.8347           |
| 0.3987        | 9.7   | 49000 | 0.4936          | {'precision': 0.6657629744384198, 'recall': 0.7557151230949589, 'f1': 0.7078929306794783, 'number': 6824} | {'precision': 0.7955613862468569, 'recall': 0.8266500056798819, 'f1': 0.8108077994428969, 'number': 8803} | {'precision': 0.9829474559822543, 'recall': 0.9891183035714286, 'f1': 0.9860232250886588, 'number': 7168} | {'precision': 0.5625, 'recall': 0.8780487804878049, 'f1': 0.6857142857142857, 'number': 82}              | {'precision': 0.9306605323693723, 'recall': 0.9841876629018245, 'f1': 0.9566759564225994, 'number': 5755} | 0.8331            | 0.8822         | 0.8570     | 0.8339           |
| 0.4109        | 9.9   | 50000 | 0.4929          | {'precision': 0.6672281974860698, 'recall': 0.7545427901524033, 'f1': 0.7082043875937006, 'number': 6824} | {'precision': 0.794249480704056, 'recall': 0.8252868340338521, 'f1': 0.8094707520891365, 'number': 8803}  | {'precision': 0.983222407099279, 'recall': 0.9892578125, 'f1': 0.986230876216968, 'number': 7168}         | {'precision': 0.5669291338582677, 'recall': 0.8780487804878049, 'f1': 0.6889952153110047, 'number': 82}  | {'precision': 0.9305076392311483, 'recall': 0.9841876629018245, 'f1': 0.956595169734842, 'number': 5755}  | 0.8333            | 0.8816         | 0.8568     | 0.8339           |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1