config changes
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@ -1,7 +1,8 @@
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pretrained_processor_path: "Zombely/plwiki-proto-fine-tuned-v2"
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pretrained_processor_path: "naver-clova-ix/donut-proto"
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pretrained_model_path: "Zombely/plwiki-proto-fine-tuned-v2"
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pretrained_model_path: "naver-clova-ix/donut-proto"
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validation_dataset_path: "Zombely/diachronia-ocr"
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validation_dataset_path: "Zombely/diachronia-ocr"
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validation_dataset_split: "train"
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validation_dataset_split: "train"
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has_metadata: False
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has_metadata: False
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print_output: True
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print_output: True
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output_file_dir: "../../gonito-outs"
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output_file_dir: "../../gonito-outs"
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test_name: "proto-test"
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@ -63,7 +63,7 @@ def main(config):
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output_list.append(seq)
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output_list.append(seq)
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if config.output_file_dir:
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if config.output_file_dir:
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df = pd.DataFrame(map(lambda x: x.get('text_sequence', ''), output_list))
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df = pd.DataFrame(map(lambda x: x.get('text_sequence', ''), output_list))
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df.to_csv(f'{config.output_file_dir}/{config.pretrained_processor_path}-out.tsv', sep='\t', header=False, index=False)
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df.to_csv(f'{config.output_file_dir}/{config.test_name}-out.tsv', sep='\t', header=False, index=False)
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if config.has_metadata:
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if config.has_metadata:
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scores = {"accuracies": accs, "mean_accuracy": np.mean(accs)}
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scores = {"accuracies": accs, "mean_accuracy": np.mean(accs)}
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