Upload BertForSequenceClassification

README.md

@@ -12,49 +12,49 @@ tags:
 license: apache-2.0
 library_name: transformers
 pipeline_tag: text-classification
+base_model:
+- google-bert/bert-base-multilingual-cased
+datasets:
+- michsethowusu/english-chichewa_sentence-pairs_mt560
+- michsethowusu/Code-170k-bemba
+- Beijuka/BEMBA_big_c
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+- confusion_matrix
+- validation_loss
 model-index:
 - name: LusakaLang
   results:
   - task:
-      name: Sentiment Analysis
       type: text-classification
+      name: Sentiment Analysis
     dataset:
       name: LusakaLang Training Data
       type: lusakalang
       config: default
       split: test
     metrics:
-    - name: accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9322
-    - name: f1_macro
-      type: f1
+      name: accuracy
+    - type: f1
       value: 0.9216
-    - name: f1_negative
-      type: f1
+      name: f1_macro
+    - type: f1
       value: 0.8649
-    - name: f1_neutral
-      type: f1
+      name: f1_negative
+    - type: f1
       value: 0.95
-    - name: f1_positive
-      type: f1
+      name: f1_neutral
+    - type: f1
       value: 0.95
-    - name: test_loss
-      type: loss
+      name: f1_positive
+    - type: loss
       value: 0.4025
-base_model:
-- google-bert/bert-base-multilingual-cased
-datasets:
-- michsethowusu/english-chichewa_sentence-pairs_mt560
-- michsethowusu/Code-170k-bemba
-- Beijuka/BEMBA_big_c
-metrics:
-- accuracy
-- precision
-- recall
-- f1
-- confusion_matrix
-- validation_loss
+      name: test_loss
 ---
 
 # **LusakaLang — Multilingual Sentiment Classification Model (English, Bemba, Nyanja)**

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6eea4f00f8dac369b24593bbb5e7a1d51b362e17b0e77244c79b7c1888709e5a
 size 711446532