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Model save
Browse files- README.md +2 -26
- pytorch_model.bin +1 -1
- tokenizer.json +1 -6
- training_args.bin +1 -1
README.md
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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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metrics:
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- accuracy
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- f1
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model-index:
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- name: platzi-distilroberta-base-mrpc-glue-eloi-campeny
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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
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type: glue
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config: mrpc
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split: validation
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args: mrpc
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.803921568627451
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- name: F1
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type: f1
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value: 0.8576512455516014
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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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# platzi-distilroberta-base-mrpc-glue-eloi-campeny
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue
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It achieves the following results on the evaluation set:
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- Loss: 0.4051
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- Accuracy: 0.8039
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- F1: 0.8577
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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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- generated_from_trainer
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datasets:
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- glue
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model-index:
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- name: platzi-distilroberta-base-mrpc-glue-eloi-campeny
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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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# platzi-distilroberta-base-mrpc-glue-eloi-campeny
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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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## Model description
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pytorch_model.bin
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tokenizer.json
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{
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training_args.bin
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