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README.md
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---
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license: apache-2.0
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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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name: Text Classification
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type: text-classification
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dataset:
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name:
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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.
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- name: F1
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type: f1
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value: 0.
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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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# julio-distilroberta-base-mrpc-test
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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---
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license: apache-2.0
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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: 0.8063725490196079
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- name: F1
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type: f1
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value: 0.8566243194192378
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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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# julio-distilroberta-base-mrpc-test
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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: 0.4958
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- Accuracy: 0.8064
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- F1: 0.8566
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## Model description
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