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README.md CHANGED
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  license: apache-2.0
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  base_model: distilroberta-base
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - glue
@@ -15,7 +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
@@ -23,10 +24,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8382352941176471
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  - name: F1
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  type: f1
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- value: 0.8838028169014085
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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 +35,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilroberta-base-mrpc-glue
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- This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7787
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- - Accuracy: 0.8382
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- - F1: 0.8838
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  ## Model description
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  license: apache-2.0
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  base_model: distilroberta-base
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  tags:
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+ - text-classification
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  - generated_from_trainer
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  datasets:
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  - glue
 
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  name: Text Classification
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  type: text-classification
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  dataset:
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+ name: datasetX
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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: 0.8480392156862745
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  - name: F1
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  type: f1
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+ value: 0.8923611111111109
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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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  # distilroberta-base-mrpc-glue
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+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3912
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+ - Accuracy: 0.8480
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+ - F1: 0.8924
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  ## Model description
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all_results.json ADDED
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eval_results.json ADDED
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train_results.json ADDED
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