Comments (3)
Sorry for the late reply!
Please see this link for the updated dataset.
I have updated the README accordingly. Thanks for indicating this.
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could you also please provide the hyperparameter details used for their finetuning? I could reproduce the results on GUE but not GUE+, with hyperparameters used in the paper
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could you also please provide the hyperparameter details used for their finetuning? I could reproduce the results on GUE but not GUE+, with hyperparameters used in the paper
could you also please provide the hyperparameter details used for their finetuning? I could reproduce the results on GUE but not GUE+, with hyperparameters used in the paper
could you also please provide the hyperparameter details used for their finetuning? I could reproduce the results on GUE but not GUE+, with hyperparameters used in the paper
could you also please provide the hyperparameter details used for their finetuning? I could reproduce the results on GUE but not GUE+, with hyperparameters used in the paper
could you also please provide the hyperparameter details used for their finetuning? I could reproduce the results on GUE but not GUE+, with hyperparameters used in the paper
Hi @fma231 ,
Could I know how you conducted the experiment regarding enhancer interaction? There are two input sequences, but the paper does not specify the exact approach.
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Related Issues (20)
- About the pretrain data HOT 1
- Data distribution in pretraining dataset HOT 1
- Instability in reproducing GUE dataset result HOT 1
- Unable to reproduce covid results HOT 1
- Is there a way to turn off the setting to use flash attention/triton library? HOT 2
- How to specifically implement the task of Enhancer promoter interaction? HOT 1
- Whether huggingface released model has been further pretrained on GUE benchmark HOT 1
- Is it possible to publish the detailed requirement file?
- Where are your Species Classification datasets?
- How to use fine tuned model for prediction?
- CUDA out of memory HOT 8
- About random factor in the embedding/tokenization process HOT 7
- TypeError: __init__() got an unexpected keyword argument 'token' HOT 1
- GUE labels
- About the motif prediction function HOT 3
- Random issues still come up in use HOT 1
- Attention error HOT 1
- Got negative train loss when do pretrain process HOT 3
- What is the loss of pre-training of the published model? HOT 2
- EPI datasets, not getting published results HOT 3
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