Row 7220

Row ID: 7220 | Dataset Entry | Axioma AXP Content Repository

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Hey! as part of my thesis I have seen good results on using AutoModelForSequenceClassification for large texts with llm's (mistral) instead of bert but I have some questions I am trying to figure out:

1. is there a point for having a coherent, understandable prompt with task definition and targets while using AutoModelForSequenceClassification? 2. I have seen an improvement for the model using cot (chain of thought) prompting, when I asked him to: "write out your reasoning step-by-step to be sure you get the right answers!", is there any explanation why it does help? we are using a classification head instead of the decoder one so it's not auto regressive.

FieldValue
text Hey! as part of my thesis I have seen good results on using AutoModelForSequenceClassification for large texts with llm's (mistral) instead of bert but I have some questions I am trying to figure out: 1. is there a point for having a coherent, understandable prompt with task definition and targets while using AutoModelForSequenceClassification? 2. I have seen an improvement for the model using cot (chain of thought) prompting, when I asked him to: "write out your reasoning step-by-step to be su…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-15
username_encoded Z0FBQUFBQm5LakwzR0ZfU1pNYk80dHU2TVJPX0lGY21VNkpaM01fNHdYUkxxMTRwN1dMR0RLaHN2X21QSTJOLUJlQmZtblRXQlBGTVBwdHBUeENJalZiQWpfY01rVW9idXc9PQ==
url_encoded Z0FBQUFBQm5Lak9IUHNqQ0ZMZEhERGVqNW4xb20xNnR0czdDZ3pzazM5VURZYUFTZ3gzTzctWktickpRVE5oOUdZcWxzNFNuQS1JVzVzMU1DUllxYVhncExKbWdlMkhPZXpHWmJxTHBxeEFNS3BRbWFyRm9LUGMwekg5YTFCSTFETUdMcmdpbExGSTlRdEZ2SWs4WVlkQ2x6MElYTXFxZjkwZ0RKYjJlQUxvYUhjamZGQWs4VERieW1uQ1BrQmQ0SEd4N1VtQ1RHTUJ4

Raw Record

{
  "text": "  \nHey! as part of my thesis I have seen good results on using AutoModelForSequenceClassification for large texts with llm's (mistral) instead of bert but I have some questions I am trying to figure out:\n\n1. is there a point for having a coherent, understandable prompt with task definition and targets while using AutoModelForSequenceClassification?\n2. I have seen an improvement for the model using cot (chain of thought) prompting, when I asked him to: \"write out your reasoning step-by-step to be sure you get the right answers!\", is there any explanation why it does help? we are using a classification head instead of the decoder one so it's not auto regressive.",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-15",
  "username_encoded": "Z0FBQUFBQm5LakwzR0ZfU1pNYk80dHU2TVJPX0lGY21VNkpaM01fNHdYUkxxMTRwN1dMR0RLaHN2X21QSTJOLUJlQmZtblRXQlBGTVBwdHBUeENJalZiQWpfY01rVW9idXc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9IUHNqQ0ZMZEhERGVqNW4xb20xNnR0czdDZ3pzazM5VURZYUFTZ3gzTzctWktickpRVE5oOUdZcWxzNFNuQS1JVzVzMU1DUllxYVhncExKbWdlMkhPZXpHWmJxTHBxeEFNS3BRbWFyRm9LUGMwekg5YTFCSTFETUdMcmdpbExGSTlRdEZ2SWs4WVlkQ2x6MElYTXFxZjkwZ0RKYjJlQUxvYUhjamZGQWs4VERieW1uQ1BrQmQ0SEd4N1VtQ1RHTUJ4"
}
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