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- [ ] Sentiment - underlying counts histogram, sentiment score histogram, sentiment score by rating
- [ ] Tone - dictionary words counts histogram, 2d scatterplot (reduce dimension further if necessa…
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Hello, thank you for releasing your code. However, I have a question.
When I tried to reproduce the result of FinBERT on CF1, the test F1 score was not the same as in your paper.
Paper: 45.1
Re…
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Error: Failed to install 'unknown package' from GitHub:
HTTP error 404.
Not Found
Did you spell the repo owner (`yiyanghkust`) and repo name (`FinBERT`) correctly?
- If spelling is corre…
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Thanks for sharing this great work.
The current FinBert from the Huggingface is further fine-tuned for financial sentiment classification.
Just wondering how can I get FinBert which is pre-trai…
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**Is your feature request related to a problem? Please describe.**
I would like to focus on HF models.
**Describe the solution you'd like**
https://huggingface.co/models has models categorize…
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See FinBERT [paper](https://arxiv.org/pdf/1908.10063.pdf) and [code](https://github.com/ProsusAI/finBERT) for details.
Different LR per layer
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**Describe the bug**
`RegisterModel` fail when not provided with `image_uri`, even when `HuggingFaceModel` has all the given specified version needed to query for HuggingFace AWS ECR Inference Contai…
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I have a fine-tuned BERT model for binary classification. Is it possible to apply Lime to the model for explanations on BERT's predictions?
Thank you!
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```
model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
```
returns this warning message:
```
Some weights of the model checkpoint at bert-base-uncased were not used…
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Hello @MaartenGr,
I've been loving this package so far! It's been extremely useful.
I have an inquiry regarding unexpected behavior in output from topics_over_time(). I've included code and output…