PolizzeDonut-conXLS-3Epochs

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+base_model: tedad09/PolizzeDonut-SoloPDF-3Epochs
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: PolizzeDonut-ConXLS-3Epochs
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# PolizzeDonut-ConXLS-3Epochs
+
+This model is a fine-tuned version of [tedad09/PolizzeDonut-SoloPDF-3Epochs](https://huggingface.co/tedad09/PolizzeDonut-SoloPDF-3Epochs) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2961
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1653        | 1.0   | 26   | 0.3318          |
+| 0.973         | 2.0   | 52   | 0.3121          |
+| 0.7283        | 3.0   | 78   | 0.2961          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

added_tokens.json

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+  "<s_Total_Weight>": 57539,
+  "<s_iitcdip>": 57523,
+  "<s_synthdog>": 57524,
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+}

config.json

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+  "_name_or_path": "tedad09/PolizzeDonut-SoloPDF-3Epochs",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
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+}

generation_config.json

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preprocessor_config.json

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special_tokens_map.json

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tokenizer_config.json

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+    "</s_Consignor>",
+    "<s_Consignee>",
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+    "</s_Notify>",
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+    "<s_Goods_Description>",
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+    "<s_Marks>",
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+    "<s_Total_Packages>",
+    "</s_Total_Packages>",
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+    "</s_Total_Weight>",
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+    "</s_Consignee_Country>",
+    "<s_Notify_Country>",
+    "</s_Notify_Country>",
+    "<s_Second_Notify_Country>",
+    "</s_Second_Notify_Country>",
+    "<s>",
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+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "processor_class": "DonutProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "stride": 0,
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

training_args.bin

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