HuggingFaceM4
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idefics-80b

Text Generation

image-text-to-text

text-generation-inference

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HugoLaurencon commited on Aug 6, 2023

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@@ -239,7 +239,7 @@ We perform checkpoint selection based on validation sets of VQAv2, TextVQA, OKVQ
 As opposed to Flamingo, we did not train IDEFICS on video-text pairs datasets, and as such, we did not evaluate the model on video-text benchmarks like Flamingo did. We leave that evaluation for a future iteration.
-![Evals of IDEFICS](assets/Figure_Evals_IDEFIX.png)
 We note that since IDEFICS was trained on PMD (which contains COCO), the evaluation numbers on COCO are not directly comparable with Flamingo and OpenFlamingo since they did not explicitely have this dataset in the training mixture. Additionally, Flamingo is trained with images of resolution 320 x 320 while IDEFICS and OpenFlamingo were trained with images of 224 x 224 resolution.

 As opposed to Flamingo, we did not train IDEFICS on video-text pairs datasets, and as such, we did not evaluate the model on video-text benchmarks like Flamingo did. We leave that evaluation for a future iteration.
+![Evals of IDEFICS](assets/Figure_Evals_IDEFICS.png)
 We note that since IDEFICS was trained on PMD (which contains COCO), the evaluation numbers on COCO are not directly comparable with Flamingo and OpenFlamingo since they did not explicitely have this dataset in the training mixture. Additionally, Flamingo is trained with images of resolution 320 x 320 while IDEFICS and OpenFlamingo were trained with images of 224 x 224 resolution.