Model save

README.md

@@ -3,23 +3,11 @@ license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- datasets/all_binary_and_xe_ey_fae_counterfactual
 metrics:
 - accuracy
 model-index:
 - name: testing
-  results:
-  - task:
-      name: Masked Language Modeling
-      type: fill-mask
-    dataset:
-      name: datasets/all_binary_and_xe_ey_fae_counterfactual
-      type: datasets/all_binary_and_xe_ey_fae_counterfactual
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6740440005371309
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # testing
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the datasets/all_binary_and_xe_ey_fae_counterfactual 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: 1.7135
-- Accuracy: 0.6740
+- Loss: 1.7192
+- Accuracy: 0.6736
 
 ## Model description
 

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:f965bf055c5f3861319e33b66017476def604ebeeea54121c60465299b390a86
 size 4792