2024-01-30 08:36:23 +00:00
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import evaluate
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import numpy as np
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from transformers import EvalPrediction, RobertaTokenizer
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from typing import Dict
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def bleu_metric(eval_preds:EvalPrediction, tokenizer:RobertaTokenizer) -> Dict:
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2024-03-25 11:46:43 +00:00
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metric = evaluate.load('/home/lhy/code/TexTeller/src/models/ocr_model/train/google_bleu') # 这里需要联网，所以会卡住
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2024-01-30 08:36:23 +00:00
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logits, labels = eval_preds.predictions, eval_preds.label_ids
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preds = logits
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# preds = np.argmax(logits, axis=1) # 把logits转成对应的预测标签
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labels = np.where(labels == -100, 1, labels)
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preds = tokenizer.batch_decode(preds, skip_special_tokens=True)
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labels = tokenizer.batch_decode(labels, skip_special_tokens=True)
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return metric.compute(predictions=preds, references=labels)
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