Model save

README.md

@@ -1,29 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - spearmanr
 model-index:
 - name: bert-base-uncased-finetuned-stsb
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE STSB
-      type: glue
-      args: stsb
-    metrics:
-    - name: Spearmanr
-      type: spearmanr
-      value: 0.8809995769549899
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased-finetuned-stsb
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE STSB 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: 0.5016
-- Pearson: 0.8850
-- Spearmanr: 0.8810
-- Combined Score: 0.8830
+- Combined Score: 0.8836
+- Loss: 0.5010
+- Pearson: 0.8856
+- Spearmanr: 0.8816
 
 ## Model description
 

config.json

@@ -25,7 +25,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "regression",
   "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:b1f6b08ca04dc4702e6c452ada349a0734cf22e7375b4b7f81e66f99a478843f
 size 5240