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Update README.md

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@@ -14,27 +14,36 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.9709923664
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  - name: NER Recall
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  type: recall
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- value: 0.9822393822
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  - name: NER F Score
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  type: f_score
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- value: 0.9765834933
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  ---
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- filler, we have a model card
 
 
 
 
 
 
 
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `en_Coff_Ev1` |
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- | **Version** | `1.3.3` |
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  | **spaCy** | `>=3.4.3,<3.5.0` |
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  | **Default Pipeline** | `tok2vec`, `ner` |
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  | **Components** | `tok2vec`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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  | **Sources** | n/a |
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  | **License** | `cc-by-nc-sa-3.0` |
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- | **Author** | [n/a]() |
 
 
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  ### Label Scheme
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@@ -52,8 +61,8 @@ filler, we have a model card
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  | Type | Score |
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  | --- | --- |
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- | `ENTS_F` | 97.66 |
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- | `ENTS_P` | 97.10 |
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- | `ENTS_R` | 98.22 |
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- | `TOK2VEC_LOSS` | 69830.68 |
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- | `NER_LOSS` | 465674.12 |
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 0.9673151751
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  - name: NER Recall
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  type: recall
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+ value: 0.9872915012
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  - name: NER F Score
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  type: f_score
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+ value: 0.9772012579
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  ---
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+ Your Coffee Ordered at the Speed of Sound
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+
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+ For citations please use the included ```refs.bib``` this project was a collaboration between five students with a common goal of simplifying the ordering process.
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+
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+ You *are permitted* to use this software for any projects, however this is *not permitted* for use in any commerical instances under our ```cc-by-nc-sa-3.0``` <br>
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+ license without explicit permissions from the author(s).
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+
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+
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `en_Coff_Ev1` |
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+ | **Version** | `1.3.2` |
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  | **spaCy** | `>=3.4.3,<3.5.0` |
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  | **Default Pipeline** | `tok2vec`, `ner` |
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  | **Components** | `tok2vec`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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  | **Sources** | n/a |
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  | **License** | `cc-by-nc-sa-3.0` |
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+ | **Author** | [C.Bruinsma,I.Chi,J.Feliciano,J.Li,D.Paden]() |
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+
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+ *THIS SOFTWARE IS PROVIDED AS IS BY ITS AUTHORS UNDER NO WARRANTY OF ITS FUNCTION.*
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  ### Label Scheme
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  | Type | Score |
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  | --- | --- |
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+ | `ENTS_F` | 97.72 |
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+ | `ENTS_P` | 96.73 |
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+ | `ENTS_R` | 98.73 |
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+ | `TOK2VEC_LOSS` | 54858.85 |
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+ | `NER_LOSS` | 427986.33 |