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End of training

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README.md CHANGED
@@ -1,15 +1,33 @@
1
  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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  base_model: google/bert_uncased_L-2_H-128_A-2
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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  - name: bert_uncased_L-2_H-128_A-2_mrpc
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,12 +35,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert_uncased_L-2_H-128_A-2_mrpc
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- This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5587
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- - Accuracy: 0.7377
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- - F1: 0.8283
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- - Combined Score: 0.7830
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  ## Model description
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  ---
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  library_name: transformers
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+ language:
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+ - en
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  license: apache-2.0
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  base_model: google/bert_uncased_L-2_H-128_A-2
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - glue
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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  - name: bert_uncased_L-2_H-128_A-2_mrpc
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: GLUE MRPC
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+ type: glue
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+ args: mrpc
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ - name: F1
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+ type: f1
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # bert_uncased_L-2_H-128_A-2_mrpc
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+ This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the GLUE MRPC dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5352
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+ - Accuracy: 0.7328
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+ - F1: 0.8233
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+ - Combined Score: 0.7781
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  ## Model description
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