Comments (2)
We have provided the checkpoints for the MCAN models on OK-VQA and A-OKVQA. You can use the corresponding ckpt to perform stage-2 (the GPT-3 stage does not have ckpt and is run online) to obtain the final predictions.
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Thank you very much!
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Related Issues (20)
- pretrain.py的代码,当RESUME的时候,start_epoch = self.__C.CKPT_EPOCH是不是有问题呢? HOT 1
- 请问你们跑这几个数据集花了多少钱调用api... 我才刚开始跑一小会就花了5美元。。太贵了 HOT 1
- mcan_530_okvqa.json HOT 1
- mcan_530_okvqa.json HOT 4
- The process of image caption HOT 1
- The process of image caption
- assets HOT 1
- Replacing GPT-3 with other academic LLMs HOT 7
- KeyError: 179520 ?? HOT 13
- 当我运行bash scripts/extract_img_feats.sh时显示下面内容,但并没有生成coco2014_feats HOT 7
- The first candidate answer of your provided candidates_okvqa.json in assets.zip HOT 3
- 当我在训练stage1时预训练、微调和生成候选答案时报了一样的错OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the HOT 4
- 当我运行stage2的命令时,显示错误连接openAI,这个是什么原因呢? HOT 1
- 当我在训练stage1时预训练、微调和生成候选答案时报了一样的错 TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType 请问该怎么解决呢 HOT 1
- Trained model HOT 1
- okvqa-stage1-pretrain HOT 3
- OpenAI-Api Cost HOT 1
- skip step 1 and go directly to step 2 HOT 1
- How can I run this model in my custom dataset? HOT 1
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