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Commit 0dbddba6 authored by VictorSanh's avatar VictorSanh
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fix typo in hans example call

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examples/README.md
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...@@ -772,7 +772,7 @@ export HANS_DIR=path-to-hans ...@@ -772,7 +772,7 @@ export HANS_DIR=path-to-hans
export MODEL_TYPE=type-of-the-model-e.g.-bert-roberta-xlnet-etc export MODEL_TYPE=type-of-the-model-e.g.-bert-roberta-xlnet-etc
export MODEL_PATH=path-to-the-model-directory-that-is-trained-on-NLI-e.g.-by-using-run_glue.py export MODEL_PATH=path-to-the-model-directory-that-is-trained-on-NLI-e.g.-by-using-run_glue.py
python examples/test_hans.py \ python examples/hans/test_hans.py \
--task_name hans \ --task_name hans \
--model_type $MODEL_TYPE \ --model_type $MODEL_TYPE \
--do_eval \ --do_eval \
...@@ -780,7 +780,7 @@ python examples/test_hans.py \ ...@@ -780,7 +780,7 @@ python examples/test_hans.py \
--data_dir $HANS_DIR \ --data_dir $HANS_DIR \
--model_name_or_path $MODEL_PATH \ --model_name_or_path $MODEL_PATH \
--max_seq_length 128 \ --max_seq_length 128 \
-output_dir $MODEL_PATH \ --output_dir $MODEL_PATH \
``` ```
This will create the hans_predictions.txt file in MODEL_PATH, which can then be evaluated using hans/evaluate_heur_output.py from the HANS dataset. This will create the hans_predictions.txt file in MODEL_PATH, which can then be evaluated using hans/evaluate_heur_output.py from the HANS dataset.
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