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End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
@@ -14,7 +16,7 @@ model-index:
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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
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  type: glue
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  config: mrpc
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  split: validation
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.6862745098039216
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  - name: F1
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  type: f1
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- value: 0.7808219178082192
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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
@@ -33,12 +35,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert_add_GLUE_Experiment_mrpc_256
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7583
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- - Accuracy: 0.6863
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- - F1: 0.7808
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- - Combined Score: 0.7335
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  ## Model description
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1
  ---
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+ language:
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+ - en
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
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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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  config: mrpc
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  split: validation
 
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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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+ value: 0.8233532934131738
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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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  # distilbert_add_GLUE_Experiment_mrpc_256
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE MRPC dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5932
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+ - Accuracy: 0.7108
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+ - F1: 0.8234
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+ - Combined Score: 0.7671
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  ## Model description
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