config eval and donut eval better params
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@ -6,3 +6,6 @@ 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: "fine-tuned-test"
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test_name: "fine-tuned-test"
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image_size: [1920, 2560]
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use_enc_dec_config: False
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max_dec_length: 768
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@ -15,15 +15,15 @@ from sconf import Config
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def main(config):
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def main(config):
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# image_size = [1920, 2560]
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if config.use_enc_dec_config:
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# config_vision = VisionEncoderDecoderConfig.from_pretrained(config.pretrained_model_path)
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config_vision = VisionEncoderDecoderConfig.from_pretrained(config.pretrained_model_path)
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# config_vision.encoder.image_size = image_size # (height, width)
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config_vision.encoder.image_size = config.image_size # (height, width)
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# config_vision.decoder.max_length = 768
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config_vision.decoder.max_length = config.max_dec_length
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processor = DonutProcessor.from_pretrained(config.pretrained_processor_path)
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processor = DonutProcessor.from_pretrained(config.pretrained_processor_path)
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model = VisionEncoderDecoderModel.from_pretrained(config.pretrained_model_path)
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model = VisionEncoderDecoderModel.from_pretrained(config.pretrained_model_path)
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# processor.image_processor.size = image_size[::-1] # should be (width, height)
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processor.image_processor.size = config.image_size[::-1] # should be (width, height)
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processor.image_processor.do_align_long_axis = False
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processor.image_processor.do_align_long_axis = False
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dataset = load_dataset(config.validation_dataset_path, split=config.validation_dataset_split)
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dataset = load_dataset(config.validation_dataset_path, split=config.validation_dataset_split)
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