Model Trained Using AutoTrain
- Problem type: Extractive Question Answering
Validation Metrics
loss: 5.707379341125488
exact_match: 0.0
f1: 0.0
runtime: 13.0624
samples_per_second: 0.766
steps_per_second: 0.077
: 3.0
Usage
import torch
from transformers import AutoModelForQuestionAnswering, AutoTokenizer
model = AutoModelForQuestionAnswering.from_pretrained(...)
tokenizer = AutoTokenizer.from_pretrained(...)
from transformers import BertTokenizer, BertForQuestionAnswering
question, text = "Who loves AutoTrain?", "Everyone loves AutoTrain"
inputs = tokenizer(question, text, return_tensors='pt')
start_positions = torch.tensor([1])
end_positions = torch.tensor([3])
outputs = model(**inputs, start_positions=start_positions, end_positions=end_positions)
loss = outputs.loss
start_scores = outputs.start_logits
end_scores = outputs.end_logits
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sentence-transformers/all-mpnet-base-v2