Comments (1)
Hi,
Thanks for your suggestions for the experiments! We haven't tried SimCSE in pre-training yet, but it is promising to try it out as a pre-training objective or combine it with other pre-training methods.
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Related Issues (20)
- why mlp_only_train=True during unsupervised training? HOT 2
- [question] Pretrined sentence embeddings model fine tuning HOT 2
- 关于simcse build_index 的速度问题 HOT 6
- Difference in models between train and evaluation scripts. HOT 4
- TypeError: object of type 'IndexFlatIP' has no len() HOT 4
- model = SimCSE("princeton-nlp/sup-simcse-bert-base-uncased")调用 HOT 3
- Can I load saved index to GPU? HOT 2
- Can I replace the base model with longformer? Is it a simple replacement or does the code also need to be changed? Thank you for your answer. HOT 4
- Why divide by temp when calculating cosine similarity HOT 1
- ValueError: Mixed precision training with AMP or APEX (`--fp16`) can only be used on CUDA devices.
- 关于两次前向传播 HOT 2
- AttributeError: 'OurTrainingArguments' object has no attribute 'distributed_state' HOT 2
- setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (750,) + inhomogeneous part. HOT 2
- 关于 Supervised SimCSE 的 GPU Memory Usage HOT 2
- An error when max_seq_length is set too long HOT 1
- drpout HOT 2
- couldn't install cimcse HOT 7
- Question about the comparison of data augmentations's reproduce HOT 2
- The function ‘search’ only returns one result HOT 2
- when I run evaluation.py, the spearman is unusually low HOT 4
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