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MedGENIE-fid-flan-t5-base-medqa

Question Answering
Transformers
PyTorch
English
t5
text2text-generation
medical
fusion-in-decoder
text-generation-inference
Inference Endpoints
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@@ -51,7 +51,7 @@ At the time of release (February 2024), **MedGENIE-fid-flan-t5-base-medqa** is a
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  | Model | Ground (Source) | Learning | Params | Accuracy (↓) |
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  |----------------------------------|--------------------|---------------------------|-----------------|-------------------------------|
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- | **MedGENIE-FID-Flan-T5** | G (PMC-LLaMA) | Fine-tuned | 250M | **53.1** |
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  | Codex <small>([Liévin et al.](https://arxiv.org/abs/2207.08143))</small> | &empty; | 0-zhot | 175B | 52.5 |
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  | Codex <small>([Liévin et al.](https://arxiv.org/abs/2207.08143))</small> | R (Wikipedia) | 0-shot | 175B | 52.5 |
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  | GPT-3.5-Turbo <small>([Yang et al.](https://arxiv.org/abs/2309.02233))</small> | R (Wikipedia) | k-shot | -- | 52.3 |
 
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  | Model | Ground (Source) | Learning | Params | Accuracy (&darr;) |
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  |----------------------------------|--------------------|---------------------------|-----------------|-------------------------------|
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+ | **MedGENIE-FID-Flan-T5** | **G (PMC-LLaMA)** | **Fine-tuned** | **250M** | **53.1** |
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  | Codex <small>([Liévin et al.](https://arxiv.org/abs/2207.08143))</small> | &empty; | 0-zhot | 175B | 52.5 |
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  | Codex <small>([Liévin et al.](https://arxiv.org/abs/2207.08143))</small> | R (Wikipedia) | 0-shot | 175B | 52.5 |
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  | GPT-3.5-Turbo <small>([Yang et al.](https://arxiv.org/abs/2309.02233))</small> | R (Wikipedia) | k-shot | -- | 52.3 |