Row 6786

Row ID: 6786 | Dataset Entry | Axioma AXP Content Repository

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Hi, I am currently using bert-base-uncased finetuned with custom data on "phrases" - "intent" pairs for Multi-Class classification problem. I have sepearately finetuned the same bert-base-uncased pretrained model for NER using IOB tagging. So, now I have 2 finetuned bert-base-uncased models doing different tasks. Is it possible to merge them or train them in a way that it only requires 1 bert-base-uncased to perfrom both tasks ?

PS- my first post and new to NLP, please be kind.

FieldValue
text Hi, I am currently using bert-base-uncased finetuned with custom data on "phrases" - "intent" pairs for Multi-Class classification problem. I have sepearately finetuned the same bert-base-uncased pretrained model for NER using IOB tagging. So, now I have 2 finetuned bert-base-uncased models doing different tasks. Is it possible to merge them or train them in a way that it only requires 1 bert-base-uncased to perfrom both tasks ? PS- my first post and new to NLP, please be kind.
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-13
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Raw Record

{
  "text": "Hi, I am currently using bert-base-uncased finetuned with custom data on \"phrases\" - \"intent\" pairs for Multi-Class classification problem. I have sepearately finetuned the same bert-base-uncased pretrained model for NER using IOB tagging. So, now I have 2 finetuned bert-base-uncased models doing different tasks. Is it possible to merge them or train them in a way that it only requires 1 bert-base-uncased to perfrom both tasks ?\n\nPS- my first post and new to NLP, please be kind. ",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-13",
  "username_encoded": "Z0FBQUFBQm5LakwzeEhRX1RYR1pnRThvbDJBT3Z6YllvUU5yd09jSnZ0YzFrYmJQckkzTTNLd2tHVXBjSjhzZllKRXpoREVHU2NFUzdhNzltOHpMWTJ3VEg5UzNwOWtsRHBWQnJqNUprNlA2TS1MbjFmaXZJVmM9",
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}
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