Retrain with spaCy v3.7

README.md

@@ -4,7 +4,6 @@ tags:
 - token-classification
 language:
 - grc
-license: mit
 model-index:
 - name: grc_odycy_joint_trf
   results:
@@ -14,80 +13,61 @@ model-index:
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9418372337
+      value: 0.9415167095
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9732169053
+      value: 0.9720856153
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9409003269
+      value: 0.9415709615
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9388661536
+      value: 0.938530944
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.813958352
+      value: 0.8192166353
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7641839204
+      value: 0.768564301
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.8301282051
+      value: 0.8352455255
 ---
-<p align="center">
-  <img width="200" src="https://github.com/centre-for-humanities-computing/odyCy/raw/main/docs/_static/logo_with_text_below.svg">
-  <div align="center" style="color: #2c5882; font-weight: bold; font-size: 18px; margin-top: -20px;">
-    A general-purpose NLP pipeline for Ancient-Greek.
-  </div>
-</p>
-
-[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/centre-for-humanities-computing/odyCy/blob/main/tutorials/01_odycy_getting_started.ipynb#&offline=true&sandboxMode=true)
-Check out our Documentation on [Basic Usage](https://centre-for-humanities-computing.github.io/odyCy/getting_started.html).
-
-
-## Performance
-
-odyCy achieves state of the art performance on multiple tasks on unseen test data from the Universal Dependencies Perseus treebank,
-and performs second best on the PROIEL treebank’s test set on even more tasks.
-In addition performance also seems relatively stable across the two evaluation datasets in comparison with other NLP pipelines.
-
-For plots and tables on OdyCy's performance, check out the Documentation page on [Performance](https://centre-for-humanities-computing.github.io/odyCy/performance.html)
-
 | Feature | Description |
 | --- | --- |
 | **Name** | `grc_odycy_joint_trf` |
-| **Version** | `0.6.0` |
-| **spaCy** | `>=3.5.0,<3.6.0` |
+| **Version** | `0.7.0` |
+| **spaCy** | `>=3.7.4,<3.8.0` |
 | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `frequency_lemmatizer` |
 | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `frequency_lemmatizer` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | **Sources** | n/a |
-| **License** | `MIT` |
-| **Author** | [{Jan Kostkan, Márton Kardos}](https://github.com/centre-for-humanities-computing/odyCy) |
+| **License** | n/a |
+| **Author** | [n/a]() |
 
 ### Label Scheme
 
@@ -107,17 +87,17 @@ For plots and tables on OdyCy's performance, check out the Documentation page on
 
 | Type | Score |
 | --- | --- |
-| `TAG_ACC` | 94.18 |
-| `POS_ACC` | 97.32 |
-| `MORPH_ACC` | 94.09 |
-| `DEP_UAS` | 81.40 |
-| `DEP_LAS` | 76.42 |
-| `SENTS_P` | 81.96 |
-| `SENTS_R` | 84.09 |
-| `SENTS_F` | 83.01 |
-| `LEMMA_ACC` | 93.89 |
-| `TRANSFORMER_LOSS` | 2030746.62 |
-| `TAGGER_LOSS` | 27277.06 |
-| `MORPHOLOGIZER_LOSS` | 66640.79 |
-| `PARSER_LOSS` | 2650835.48 |
-| `TRAINABLE_LEMMATIZER_LOSS` | 170902.76 |
+| `TAG_ACC` | 94.15 |
+| `POS_ACC` | 97.21 |
+| `MORPH_ACC` | 94.16 |
+| `DEP_UAS` | 81.92 |
+| `DEP_LAS` | 76.86 |
+| `SENTS_P` | 82.65 |
+| `SENTS_R` | 84.42 |
+| `SENTS_F` | 83.52 |
+| `LEMMA_ACC` | 93.85 |
+| `TRANSFORMER_LOSS` | 875117.52 |
+| `TAGGER_LOSS` | 8013.69 |
+| `MORPHOLOGIZER_LOSS` | 18489.32 |
+| `PARSER_LOSS` | 2193434.41 |
+| `TRAINABLE_LEMMATIZER_LOSS` | 34833.09 |

config.cfg

@@ -18,6 +18,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [components]
 
@@ -29,6 +30,7 @@ overwrite = true
 [components.morphologizer]
 factory = "morphologizer"
 extend = false
+label_smoothing = 0.0
 overwrite = true
 scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 
@@ -68,6 +70,7 @@ upstream = "*"
 
 [components.tagger]
 factory = "tagger"
+label_smoothing = 0.0
 neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}

grc_odycy_joint_trf-any-py3-none-any.whl

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+size 497296758

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"grc",
   "name":"odycy_joint_trf",
-  "version":"0.6.0",
-  "description":"Ancient Greek transformer pipeline (based on pranaydeeps/Ancient-Greek-BERT)",
-  "author":"{Jan Kostkan, M\u00e1rton Kardos}",
+  "version":"0.7.0",
+  "description":"",
+  "author":"",
   "email":"",
-  "url":"https://github.com/centre-for-humanities-computing/odyCy",
-  "license":"MIT",
-  "spacy_version":">=3.5.0,<3.6.0",
-  "spacy_git_version":"Unknown",
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+  "license":"",
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   "vectors":{
     "width":0,
     "vectors":0,
@@ -2348,74 +2348,74 @@
 
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   ]
 }

morphologizer/cfg

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 {
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     "Case=Gen|Gender=Masc|Number=Sing|POS=NOUN":"Case=Gen|Gender=Masc|Number=Sing",

morphologizer/model

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parser/model

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tagger/cfg

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tagger/model

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tokenizer

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