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Update run_trainier_seq2seq_huggingface.py #19

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Update run_trainier_seq2seq_huggingface.py #19

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5 changes: 3 additions & 2 deletions examples/run_trainier_seq2seq_huggingface.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,8 @@

import nltk # Here to have a nice missing dependency error message early on
import numpy as np
from datasets import load_dataset, load_metric
from datasets import load_dataset
import evaluate
from sklearn.metrics import accuracy_score, f1_score, recall_score, precision_score, classification_report, confusion_matrix

import transformers
Expand Down Expand Up @@ -562,7 +563,7 @@ def preprocess_function(examples):
metric_name = regex.sub("eval_","",training_args.metric_for_best_model)
# metric_name = "f1" #"rouge" if data_args.task.startswith("summarization") else "sacrebleu"
print ("[INFO] evlaute using ", metric_name, "score", "task name:", data_args.task)
# metric = load_metric("f1", cache_dir=cache_dir)
# metric = evaluate.Metric("f1", cache_dir=cache_dir)

def postprocess_text(preds, labels):
preds = [pred.strip() for pred in preds]
Expand Down