update dacy pipeline

README.md

@@ -4,6 +4,7 @@ tags:
 - token-classification
 language:
 - da
+license: Apache-2.0-License
 model-index:
 - name: da_dacy_small_trf
   results:
@@ -48,6 +49,8 @@ model-index:
         type: accuracy
         value: 0.1536466438
 ---
+DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines. DaCy's largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish on the DaNE dataset. Check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results. This repository also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
+
 | Feature | Description |
 | --- | --- |
 | **Name** | `da_dacy_small_trf` |
@@ -57,8 +60,8 @@ model-index:
 | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | **Sources** | n/a |
-| **License** | n/a |
-| **Author** | [n/a]() |
+| **License** | `Apache-2.0 License` |
+| **Author** | [Kenneth Enevoldsen](https://centre-for-humanities-computing.github.io/DaCy/) |
 
 ### Label Scheme
 
@@ -89,7 +92,7 @@ model-index:
 | `ENTS_F` | 0.76 |
 | `ENTS_P` | 0.41 |
 | `ENTS_R` | 5.42 |
-| `TRANSFORMER_LOSS` | 81256.29 |
+| `TRANSFORMER_LOSS` | 0.00 |
 | `MORPHOLOGIZER_LOSS` | 27424.22 |
 | `PARSER_LOSS` | 42403.38 |
 | `NER_LOSS` | 26244.95 |

da_dacy_small_trf-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-oid sha256:952ecae9bb03d2652fc01a54b428e5fd2cd516b9c9b19899fe8b44d0d409c007
-size 57357598
+oid sha256:c796398619e050fed60156946e76f7baad193c644f207386c37a0cb91877cdb0
+size 57359229

meta.json

@@ -2,11 +2,11 @@
   "lang":"da",
   "name":"dacy_small_trf",
   "version":"0.1.0",
-  "description":"",
-  "author":"",
-  "email":"",
-  "url":"",
-  "license":"",
+  "description":"DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines. DaCy's largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish on the DaNE dataset. Check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results. This repository also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.",
+  "author":"Kenneth Enevoldsen",
+  "email":"kenneth.enevoldsen@cas.au.dk",
+  "url":"https://centre-for-humanities-computing.github.io/DaCy/",
+  "license":"Apache-2.0 License",
   "spacy_version":">=3.1.0,<3.2.0",
   "spacy_git_version":"530b5d72f",
   "vectors":{
@@ -546,7 +546,7 @@
         "f":0.0
       }
     },
-    "transformer_loss":812.5628509521,
+    "transformer_loss":0.0,
     "morphologizer_loss":274.2421875,
     "parser_loss":424.0338255167,
     "ner_loss":262.4495080709