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README.md CHANGED
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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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  base_model: Hartunka/bert_base_km_50_v1
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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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  - matthews_correlation
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  - accuracy
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  model-index:
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  - name: bert_base_km_50_v1_cola
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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 COLA
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- type: glue
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- args: cola
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- metrics:
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- - name: Matthews Correlation
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- type: matthews_correlation
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- value: 0.0
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- - name: Accuracy
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- type: accuracy
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- value: 0.6912751793861389
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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
@@ -34,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert_base_km_50_v1_cola
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- This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on the GLUE COLA dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6189
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- - Matthews Correlation: 0.0
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- - Accuracy: 0.6913
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  ## Model description
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  ---
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  library_name: transformers
 
 
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  base_model: Hartunka/bert_base_km_50_v1
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - matthews_correlation
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  - accuracy
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  model-index:
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  - name: bert_base_km_50_v1_cola
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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
 
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  # bert_base_km_50_v1_cola
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+ This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8469
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+ - Matthews Correlation: 0.0852
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+ - Accuracy: 0.6424
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  ## Model description
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