Update spaCy pipeline

README.md

@@ -13,40 +13,35 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7636566332
+      value: 0.7375565611
     - name: NER Recall
       type: recall
-      value: 0.6975560081
+      value: 0.6848739496
     - name: NER F Score
       type: f_score
-      value: 0.7291112294
-widget:
-  - text: Golden statue of a victorious warrior raising his sword to the sky, heroic, glorious, in the style of artgerm, gerald brom, atey ghailan and mike mignola, vibrant colors and hard shadows and strong rim light, plain background, comic cover art, trending on artstation
-  - text: Italian renaissance dragon statue castle gallery highly detailed artstation concept art sharp focus illustration briclot rutkowski mucha
-  - text: Quetzalcoatl in an epic battle with garuda, fantasy, stained glass, d & d, intricate, elegant, highly detailed, digital painting, artstation, concept art, matte, sharp focus, illustration, art by john collier and albert aublet and krenz cushart and artem demura and alphonse mucha
-license: mit
+      value: 0.7102396514
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `en_ner_prompting` |
-| **Version** | `0.0.1` |
+| **Version** | `0.0.2` |
 | **spaCy** | `>=3.4.3,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `ner` |
 | **Components** | `tok2vec`, `ner` |
 | **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
 | **Sources** | n/a |
-| **License** | MIT |
-| **Author** | [Selas](https://www.selas.ai/) |
+| **License** | n/a |
+| **Author** | [n/a]() |
 
 ### Label Scheme
 
 <details>
 
-<summary>View label scheme (18 labels for 1 components)</summary>
+<summary>View label scheme (1 labels for 1 components)</summary>
 
 | Component | Labels |
 | --- | --- |
-| **`ner`** | `color`, `composition/scale`, `composition/view`, `context/emotion`, `context/era`, `context/weather`, `detail`, `influence/artist`, `influence/artwork`, `influence/genre`, `influence/repository`, `light`, `medium/illustration`, `medium/painting`, `medium/photography`, `medium/rendering`, `other`, `subject` |
+| **`ner`** | `FASHION_BRAND` |
 
 </details>
 
@@ -54,8 +49,8 @@ license: mit
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 72.91 |
-| `ENTS_P` | 76.37 |
-| `ENTS_R` | 69.76 |
-| `TOK2VEC_LOSS` | 25220.55 |
-| `NER_LOSS` | 221026.23 |
+| `ENTS_F` | 71.02 |
+| `ENTS_P` | 73.76 |
+| `ENTS_R` | 68.49 |
+| `TOK2VEC_LOSS` | 2670.31 |
+| `NER_LOSS` | 913.14 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-train = null
-dev = null
+train = "corpus/ner_prompting_training.spacy"
+dev = "corpus/ner_prompting_eval.spacy"
 vectors = "en_core_web_lg"
-init_tok2vec = "/root/prompting-practices/models/ner_model/ner_training/pretrained_model/model50.bin"
+init_tok2vec = "training/pretrain_embedding/model50.bin"
 
 [system]
 gpu_allocator = "pytorch"
@@ -62,22 +62,22 @@ window_size = 1
 maxout_pieces = 3
 
 [corpora]
-@readers = "prodigy.MergedCorpus.v1"
-eval_split = 0.2
-sample_size = 1.0
-textcat = null
-textcat_multilabel = null
-parser = null
-tagger = null
-senter = null
-spancat = null
-
-[corpora.ner]
-@readers = "prodigy.NERCorpus.v1"
-datasets = ["prompt_ner_data"]
-eval_datasets = []
-default_fill = "outside"
-incorrect_key = "incorrect_spans"
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
 
 [training]
 dev_corpus = "corpora.dev"

en_ner_prompting-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 606719222
+oid sha256:4d0ba1229d80c28417ea0769fbb97a5e08d3e82084ec1946f16a203c88d8ebb6
+size 606771499

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"en",
   "name":"ner_prompting",
-  "version":"0.0.1",
+  "version":"0.0.2",
   "description":"",
   "author":"",
   "email":"",
   "url":"",
   "license":"",
   "spacy_version":">=3.4.3,<3.5.0",
-  "spacy_git_version":"Unknown",
+  "spacy_git_version":"63673a792",
   "vectors":{
     "width":300,
     "vectors":514157,
@@ -20,24 +20,7 @@
 
     ],
     "ner":[
-      "color",
-      "composition/scale",
-      "composition/view",
-      "context/emotion",
-      "context/era",
-      "context/weather",
-      "detail",
-      "influence/artist",
-      "influence/artwork",
-      "influence/genre",
-      "influence/repository",
-      "light",
-      "medium/illustration",
-      "medium/painting",
-      "medium/photography",
-      "medium/rendering",
-      "other",
-      "subject"
+      "FASHION_BRAND"
     ]
   },
   "pipeline":[
@@ -52,98 +35,18 @@
 
   ],
   "performance":{
-    "ents_f":0.7291112294,
-    "ents_p":0.7636566332,
-    "ents_r":0.6975560081,
+    "ents_f":0.7102396514,
+    "ents_p":0.7375565611,
+    "ents_r":0.6848739496,
     "ents_per_type":{
-      "context/emotion":{
-        "p":0.8620689655,
-        "r":0.7246376812,
-        "f":0.7874015748
-      },
-      "detail":{
-        "p":0.9142857143,
-        "r":0.9056603774,
-        "f":0.9099526066
-      },
-      "medium/illustration":{
-        "p":0.8813559322,
-        "r":0.8387096774,
-        "f":0.8595041322
-      },
-      "influence/genre":{
-        "p":0.8070175439,
-        "r":0.6764705882,
-        "f":0.736
-      },
-      "subject":{
-        "p":0.5555555556,
-        "r":0.5043859649,
-        "f":0.5287356322
-      },
-      "influence/artist":{
-        "p":0.8217054264,
-        "r":0.8091603053,
-        "f":0.8153846154
-      },
-      "influence/artwork":{
-        "p":0.64,
-        "r":0.4705882353,
-        "f":0.5423728814
-      },
-      "influence/repository":{
-        "p":0.9090909091,
-        "r":0.8888888889,
-        "f":0.8988764045
-      },
-      "medium/photography":{
-        "p":0.7215189873,
-        "r":0.7808219178,
-        "f":0.75
-      },
-      "color":{
-        "p":0.7941176471,
-        "r":0.7941176471,
-        "f":0.7941176471
-      },
-      "context/era":{
-        "p":0.6666666667,
-        "r":0.5454545455,
-        "f":0.6
-      },
-      "composition/view":{
-        "p":0.8947368421,
-        "r":0.5862068966,
-        "f":0.7083333333
-      },
-      "medium/rendering":{
-        "p":0.9230769231,
-        "r":0.5,
-        "f":0.6486486486
-      },
-      "context/weather":{
-        "p":0.5,
-        "r":0.7272727273,
-        "f":0.5925925926
-      },
-      "light":{
-        "p":0.8636363636,
-        "r":0.7916666667,
-        "f":0.8260869565
-      },
-      "medium/painting":{
-        "p":0.8235294118,
-        "r":0.56,
-        "f":0.6666666667
-      },
-      "composition/scale":{
-        "p":1.0,
-        "r":0.5,
-        "f":0.6666666667
+      "FASHION_BRAND":{
+        "p":0.7375565611,
+        "r":0.6848739496,
+        "f":0.7102396514
       }
     },
-    "tok2vec_loss":252.2055473672,
-    "ner_loss":2210.2623216551
+    "tok2vec_loss":26.7030918702,
+    "ner_loss":9.1313796143
   },
   "requirements":[
 

ner/moves

@@ -1 +1 @@
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+��movesـ{"0":{},"1":{"FASHION_BRAND":728},"2":{"FASHION_BRAND":728},"3":{"FASHION_BRAND":728},"4":{"FASHION_BRAND":728,"":1},"5":{"":1}}�cfg��neg_key�

tok2vec/model

@@ -1,3 +1,3 @@
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 size 34434008