Comments (4)
TheRainInSpain
commented on May 30, 2024
I generated the csv files using the python csv library by writing each sequence and label into one row. But when I ran the code, error happened (described in #42 ). I wonder whether this is the right way to generate the csv files.
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smruti241
commented on May 30, 2024
but how did you label the sequence, based on which parameter? or randomly assigning 1 or 0? because randomly assigning wont make any sense.
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smruti241
commented on May 30, 2024
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smruti241
commented on May 30, 2024
I have covid data and DNABERT-2 has already covid data for finetuning. I just want to know how did you know each sequence should be given 1,2,3,4 , etc upto 9 as label? Please let me know @Zhihan1996
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Related Issues (20)
- When will the pretraining code be available?
- .
- environment about torch version HOT 1
- problem stll in environment HOT 6
- hidden_states = model(inputs)[0] # [1, sequence_length, 768]-- Is the second dimension really the sequence length? HOT 1
- Discuss a question about k-mer HOT 1
- When will the code for pre-training model and training BPE tokenizer be available? HOT 1
- Quickstart Does not work and Embedding Dim is not 768 HOT 1
- Pretraining, Pretraining, Pretraining!!! HOT 2
- I always encounter this error during the fine-tuning evaluation phase HOT 1
- Fine-tune for continuous labels HOT 3
- How do I output the attention from the model? HOT 1
- Special token treatment. HOT 1
- splice site predictions
- Unable to Retrieve ' hidden_states ' Despite ' Setting return_dict=True ' and ' output_hidden_states=True ' HOT 3
- Cannot Reproduce DNA-BERT2‘s Result HOT 1
- GUE+ datasets? HOT 1
- Is it neccessary to train a specific BPE tokenizer on own datasets? HOT 1
- Getting embedding of a sequence HOT 2
- CUDA out of memory HOT 2
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