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I just fine-tuning bert with a classification task, and i noticed that a classifier is append after bert's output when fine-tuning.
#### create_model(...) in run_classifier.py
```python
...
with …
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#### Specific Task:
For this project, your main challenge is improving phishing detection by developing a real-time, multimodal system based on transformers and other features like URLs and metadata.…
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In the documentation here : https://github.com/dmlc/gluon-nlp/blob/master/docs/examples/sentence_embedding/bert.md in the "Conclusion" points to this broken link ( https://github.com/dmlc/gluon-nlp/bl…
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![Screen Shot from awesomescreenshot.com](https://www.awesomescreenshot.com/api/v1/destination/image/show?ImageKey=tm-12284-44299-c032a954489dc4e41f5d98e137a434ad)
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**Source URL**:
[https://chatg…
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reference:
1. Zhou Y, Srikumar V. A closer look at how fine-tuning changes bert[J]. arXiv preprint arXiv:2106.14282, 2021.
2. paper[源码地址](https://github.com/utahnlp/BERT-fine-tuning-analysis#bert-fi…
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Once the fine-tuning data generation is completed, the multi-task fine-tuning is raising the following error
![image](https://user-images.githubusercontent.com/47290456/174716839-99d44614-c6ce-4679-a…
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As described in BERT paper Section 5.4, it gives some experiment results of not fine tuning BERT parameters but use BERT as a feature extractor followed by 2 Bi-LSTMs.
Wondering have you tried this s…
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I want to fine tune bert on my custom dataset but i don't know how to tag sentences and do fine tuning if anyone knows please suggest me.
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I tried to fine-tune the BERT model as an embedding model, which maps sentences to a space where the `cosine` similarity between two sentence embedding vectors can be interpreted as the sentence simil…
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Hi all, the Bert paper discusses how to adopt this model for Question Answering/Reading Comprehension tasks like SQUAD where you just combine the passage and question into a single packed sequence and…