asrulsibaoel commited on
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End of training

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README.md ADDED
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+ ---
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+ base_model: squantumengine/donut-base-stnk-no-address-v2
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - imagefolder
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+ model-index:
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+ - name: donut-base-stnk-no-address-v3
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # donut-base-stnk-no-address-v3
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+
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+ This model is a fine-tuned version of [squantumengine/donut-base-stnk-no-address-v2](https://huggingface.co/squantumengine/donut-base-stnk-no-address-v2) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2116
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.4954 | 1.0 | 3253 | 0.3898 |
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+ | 0.3524 | 2.0 | 6506 | 0.2783 |
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+ | 0.2498 | 3.0 | 9759 | 0.2342 |
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+ | 0.1684 | 4.0 | 13012 | 0.2177 |
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+ | 0.1442 | 5.0 | 16265 | 0.2116 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.14.0
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+ - Tokenizers 0.13.3
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.31.0"
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+ }
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+ {
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+ "do_align_long_axis": false,
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+ "do_normalize": true,
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+ "do_pad": true,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "do_thumbnail": true,
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_processor_type": "DonutImageProcessor",
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "processor_class": "DonutProcessor",
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+ "resample": 2,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "height": 960,
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+ "width": 720
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+ }
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+ }
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+ "additional_special_tokens": [
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+ "<s_vehicle_ownership_document_number>",
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+ "<s_registration_number>",
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+ "</s_registration_number>",
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+ "<s_name>",
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+ "<s_manufacture_year>",
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+ "</s_manufacture_year>",
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+ "<s_location_code>",
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+ "</s_location_code>",
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+ "<s_license_plate_color>",
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+ "</s_license_plate_color>",
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+ "<s_engine_number>",
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+ "</s_engine_number>",
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+ "<s_date_of_expire>",
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+ "</s_date_of_expire>",
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+ "<s_cylinder_capacity>",
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+ "<s_color>",
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+ "<s_category>",
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