Issues
- 1
Wrong sentiments for common sentences.
#41 opened by divyanshu123p - 0
Data is missing to run finetune Notebook
#40 opened by richlysakowski - 0
About the sentiment classification
#38 opened by Ausen-Good - 0
how to use pretrained finbert to do embedding?
#37 opened by TianhaoFu - 0
can you share a chinese model?
#36 opened by 154192 - 0
Please include analysttone.csv Finetune
#32 opened by jorgeurzuavaldes - 0
RuntimeError: The size of tensor a (538) must match the size of tensor b (512) at non-singleton dimension 1
#31 opened by j4ffle - 0
using CPU error
#23 opened by YeonGuKang - 0
- 1
- 1
sentiment predictions are not consistent
#25 opened by fanyuyu - 1
- 1
script to finetune finbert for downstream task
#28 opened by luke4u - 1
FinBERT pretrained model in ONNX format
#26 opened by aforoughi1 - 2
For those of us without a CUDA compatible device: Note to use 'cpu' rather than 'cuda:1' as device.
#21 opened by j4ffle - 2
- 0
Missing on requirements.txt
#19 opened by ngobibibnbe - 3
- 3
Migration to transformers
#16 opened by Dhruv26 - 3
- 1
Analyst Tone
#18 opened by maximedb - 1
- 0
Should I have to necessarily train the FinancialPhraseBank-v1.0.zip dataset for sentiment classification or you have provided it as an example to fine tune the pre-trained model?
#11 opened by man0007 - 1
Could you please provide the fine tuned model that has been trained on FinancialPhraseBank-v1.0.zip?
#12 opened by man0007 - 2
What is the max_seq_len on which this model (FinBert_FinVocab_Uncased) has been trained?
#7 opened by man0007 - 1
The FinVocab-Cased.txt and FinVocab-Uncased.txt, names are interchanged, I would request you to check the path provided for downloading it.
#8 opened by man0007 - 1
script to clean and preprocess SEC filings?
#9 opened by vr25 - 1
Is there a prediction script available?
#6 opened by man0007 - 1
Is there a chinese model?
#2 opened by Pydataman