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End of training

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README.md CHANGED
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  ---
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  library_name: transformers
 
 
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  base_model: Hartunka/tiny_bert_km_100_v2
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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: tiny_bert_km_100_v2_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
@@ -16,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # tiny_bert_km_100_v2_cola
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- This model is a fine-tuned version of [Hartunka/tiny_bert_km_100_v2](https://huggingface.co/Hartunka/tiny_bert_km_100_v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6809
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- - Matthews Correlation: -0.0023
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- - Accuracy: 0.6174
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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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  base_model: Hartunka/tiny_bert_km_100_v2
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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: tiny_bert_km_100_v2_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
 
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  # tiny_bert_km_100_v2_cola
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+ This model is a fine-tuned version of [Hartunka/tiny_bert_km_100_v2](https://huggingface.co/Hartunka/tiny_bert_km_100_v2) on the GLUE COLA dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6171
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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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