Model save

README.md

@@ -1,47 +1,21 @@
 ---
-language:
-- en
 license: apache-2.0
 base_model: bert-base-cased
 tags:
 - generated_from_trainer
 datasets:
 - glue
-metrics:
-- accuracy
-- f1
 model-index:
-- name: push-to-hub-test
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      config: mrpc
-      split: validation
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8676470588235294
-    - name: F1
-      type: f1
-      value: 0.9078498293515359
+- name: push-to-hub-test-2
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# push-to-hub-test
+# push-to-hub-test-2
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE MRPC dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6255
-- Accuracy: 0.8676
-- F1: 0.9078
-- Combined Score: 0.8877
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue dataset.
 
 ## Model description
 

emissions.csv

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pytorch_model.bin

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