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* paper : https://arxiv.org/abs/1810.04805
* good post - 이해가 잘안가 아래 포스트도 함께..
* [Attention 개념정리 부제 : 게임의 구조로 해석한 attention](http://www.modulabs.co.kr/?module=file&act=procFileDownload&file_srl=20…
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`run_classifier.R` is mostly about fine-tuning BERT with a classifier head. RBERT is not quite working at this level yet. There are almost certainly bugs that would prevent this from working in the pr…
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I trained BERT on MNLI and evaluated it on HANS data. I got some results which are different from what was given in the paper. I am getting all the predictions as non entailment. I tried both fine-tun…
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I fine tune bert in some classification task and get better result, but I have some confuse.
1. I found the fine tuning is unstable. The f1 has 2% diff when fine-tuning with the same hyperparameters.…
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Hello. I'm looking to Fine-Tune BERT MultiLingual on a specific closed-domain context in one of the languages that already exists in the multi-lingual-language set. (Romanian) My task will be to :
1)…
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Hello,
- I am currently working on NLP: Semantic Search proof of concept.
- as per our research, BERT and XLNet are better performing model for Semantic Search (any other suggestion are welcome)
…
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Blog: https://www.exxactcorp.com/blog/Benchmarks/nvidia-rtx-a5000-bert-large-fine-tuning-benchmarks-in-tensorflow
Code base: https://github.com/krai/NvidiaDeepLearningExamples/tree/master/TensorFlow2/…
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I had a bug where the reg strength would be 1 if the reg strength was not 0.
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Add a support for deberta model "MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33". This model is heavily used for text classification.
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Hi All:
MMDetection supports Grounding-DINO inference and fine-tuning for now. The mAP we achieved in our reproduction is higher than the official results. We also provide the results of retraining …