Model save

README.md

@@ -1,33 +1,15 @@
 ---
 library_name: transformers
-language:
-- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert-base-cased-finetuned-qqp
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QQP
-      type: glue
-      args: qqp
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9102646549591887
-    - name: F1
-      type: f1
-      value: 0.8810257755624057
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-cased-finetuned-qqp
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE QQP dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3416
-- Accuracy: 0.9103
-- F1: 0.8810
-- Combined Score: 0.8956
+- Accuracy: 0.9109
+- Combined Score: 0.8957
+- F1: 0.8805
+- Loss: 0.3568
 
 ## Model description
 

config.json

@@ -23,7 +23,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.45.0.dev0",
   "type_vocab_size": 2,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:674c741e8616b868ab11b59c52e7c567c27bab9e3988a7b21985efa4901773d6
 size 5176