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Hey If I just pass a tf-record with one example with features inputs and targets. Evaluate execution has happened and then after finishing just text_metrics-2-.dev.txt file is created and the predicti…
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Hi Li Dong
Thanks a lot for your code and the S2S-FT example.
You gave us in the README abstractive summarization usage, could you please also give Question Generation usage example ?
Thanks in adv…
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Thank you so much for this code.
I am facing an error while executing it.
I tried to change model to remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization but still faced errors.
`
T…
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Hi!
I have tried to run the pre-trained model to test it on my dataset which consists of paragraphs as inputs and one line sentence as targets. The problem was when I saw the prediction it was extrac…
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# 🐛 Bug
## Information
Model I am using: Bertabs (https://github.com/huggingface/transformers/tree/master/examples/seq2seq/bertabs)
Language I am using the model on: English
The problem …
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# 🌟 New model addition
## Model description
Transformer has become ubiquitous in natural language processing (e.g., machine translation, question answering); however, it requires enormous amount o…
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## 概要
- 文章要約では、BERT等MLMで事前学習したモデルを使うより、別の方法で事前学習したモデルの方が強いのでは?という話
- 単語単位に加え、文単位でマスクする事前学習手法を提案
- 文章要約のほぼすべてのタスクにおいてMLMと比べて改善が見られた
## 投稿年/会議
2019年/ArXiv
- https://arxiv.org/abs/1912.08777
#…
reo11 updated
4 years ago
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# 🌟 New model addition
## Model description
Part of the abstract :
> In this paper, we present an efficient mobile NLP architecture, Lite Transformer to
facilitate deploying mobile NLP appli…
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ValueError: Dimensions must be equal, but are 768 and 512 for 'bert/transformer_encoder_1/layer_0/add' (op: 'AddV2') with input shapes:
[?,?,768], [?,?,512].
Can you please help me resolve this d…
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Hi @donglixp and @WenhuiWang0824,
Thanks a lot for releasing Cross Lingual MiniLM. As being french, I'm highly interested in such coss-lingual models.
You gave us XNLI & MLQA examples. Could you ple…