Upload TFBertForSequenceClassification

README.md

@@ -2,14 +2,8 @@
 tags:
 - generated_from_keras_callback
 model-index:
-- name: adult-content-classifier-text
+- name: adult-content-identify-text
   results: []
-pipeline_tag: text-classification
-widget:
-- text: "情趣睡衣 性感睡衣 角色扮演 惹火 緊身連身 漆皮膠衣 黑 L"
-  example_title: "adult_成人商品標題"
-- text: "男平織運動外套-立領外套 慢跑 路跑 藍黑螢光黃 L"
-  example_title: "regular_一般商品標題"
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -17,26 +11,37 @@ probably proofread and complete it, then remove this comment. -->
 
 # adult-content-identify-text
 
-Determine whether online sales products are adult content. Input: product title or description, Output results: 0 Unknown, 1 Adult Content, 2 General Merchandise.
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
 
-判斷網路銷售商品是否屬於成人內容。輸入: 商品名稱文字，輸出結果: 0 未知, 1 成人內容, 2 一般商品。
 
-# use transformers pipeline
-```python
-from transformers import pipeline
-pipe = pipeline("text-classification", model="jiechau/adult-content-classifier")
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float32
+
+### Training results
 
-q = '男平織運動外套-立領外套 慢跑 路跑 藍黑螢光黃 L'
-q = '情趣睡衣 性感睡衣 角色扮演 惹火 緊身連身 漆皮膠衣 黑 L'
 
-result = pipe(q)
-print(result)
-# [{'label': 'adult_成人商品', 'score': 0.9994813799858093}]
-```
 
 ### Framework versions
 
 - Transformers 4.37.1
 - TensorFlow 2.15.0
 - Datasets 2.17.0
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/home/jie/model",
+  "_name_or_path": "/home/rundeck/_ai_bulk_files/Colab_Notebooks/_saved_model/_saved_model_friDay/friDay_adult_sexy/FacebookAI-xlm-roberta-base-tf-keras",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -12,15 +12,15 @@
   "hidden_size": 768,
   "id2label": {
     "0": "unknown",
-    "1": "adult_成人商品",
-    "2": "regular_一般商品"
+    "1": "adult_\u6210\u4eba\u5546\u54c1",
+    "2": "regular_\u4e00\u822c\u5546\u54c1"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "unknown": 0,
-    "adult_成人商品": 1,
-    "regular_一般商品": 2
+    "adult_\u6210\u4eba\u5546\u54c1": 1,
+    "regular_\u4e00\u822c\u5546\u54c1": 2,
+    "unknown": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d11fc48bb5c516da55c0b6560548ed8ca62b9212dc43bbfed71e41fa36ef681
+oid sha256:a461b2d560dde6bec8706a1ac9da1412397c0e3bf8aa3c3aef90457a06c161f1
 size 1112471836