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lauraparra28
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Roberta-base-finetuned-SQuAD2.0

Question Answering
Transformers
PyTorch
English
roberta
Generated from Trainer
Eval Results (legacy)
Model card Files
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@@ -7,29 +7,46 @@ datasets:
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  - squad_v2
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  model-index:
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  - name: roberta-base-finetuned-squad
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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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  should probably proofread and complete it, then remove this comment. -->
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- # roberta-base-finetuned-squad
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the squad_v2 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2340
 
 
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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  ## Training procedure
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@@ -60,4 +77,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.34.0
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  - Pytorch 1.12.1
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  - Datasets 2.14.5
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- - Tokenizers 0.14.1
 
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  - squad_v2
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  model-index:
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  - name: roberta-base-finetuned-squad
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+ results:
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+ - task:
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+ type: question-answering
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+ name: Question Answering
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+ dataset:
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+ name: squad_v2
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+ type: squad_v2
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+ config: squad_v2
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+ split: validation
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+ metrics:
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+ - type: exact_match
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+ value: 83.159
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+ name: Exact Match
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+ - type: f1
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+ value: 79.684
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+ name: F1
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+ language:
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+ - en
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+ metrics:
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+ - exact_match
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+ - f1
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # roberta-base-finetuned-squad_v2
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the [SQuAD2.0](https://huggingface.co/datasets/squad_v2).
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2340
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+ - Exact Match: 79.684
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+ - F1-score: 83.159
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+ ## Overview
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+ **Language model:** roberta-base
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+ **Language:** English
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+ **Downstream-task:** Extractive QA
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+ **Training data:** SQuAD 2.0
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+ **Eval data:** SQuAD 2.0
 
 
 
 
 
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  ## Training procedure
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  - Transformers 4.34.0
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  - Pytorch 1.12.1
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1