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add args info to evaluate_result.txt
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@ -249,12 +249,18 @@ def evaluate(args, model, tokenizer, prefix=""):
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results.update(result)
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output_eval_file = os.path.join(eval_output_dir, "eval_results.txt")
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with open(output_eval_file, "w") as writer:
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logger.info("***** Eval results {} *****".format(prefix))
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writer.write("model =%s\n" % str(args.model_name_or_path))
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writer.write("total batch size=%d\n" % (args.train_batch_size * args.gradient_accumulation_steps *
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(torch.distributed.get_world_size() if args.local_rank != -1 else 1)))
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writer.write("train num epochs=%d\n" % args.num_train_epochs)
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writer.write("fp16 =%s\n" % args.fp16)
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writer.write("max seq length =%d\n" % args.max_seq_length)
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for key in sorted(result.keys()):
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logger.info(" %s = %s", key, str(result[key]))
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writer.write("%s = %s\n" % (key, str(result[key])))
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return results
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