Donut-Epochs3-Data2

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+base_model: naver-clova-ix/donut-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: donut-3epochs-Data2
+  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. -->
+
+# donut-3epochs-Data2
+
+This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9544
+
+## 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: 1
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9082        | 1.0   | 400  | 1.2407          |
+| 1.2139        | 2.0   | 800  | 1.0075          |
+| 0.9291        | 3.0   | 1200 | 0.9544          |
+
+
+### 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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config.json

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+  "architectures": [
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+  ],
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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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+    "<s_Consignor>",
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+    "<s_Consignee>",
+    "</s_Consignee>",
+    "<s_Notify>",
+    "</s_Notify>",
+    "<s_Second_Notify>",
+    "</s_Second_Notify>",
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+    "<s_Total_Packages>",
+    "</s_Total_Packages>",
+    "<s_Total_Weight>",
+    "</s_Total_Weight>",
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+    "</s_Total_Volume>",
+    "<s_Consignor_Country>",
+    "</s_Consignor_Country>",
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+    "<s_Second_Notify_Country>",
+    "</s_Second_Notify_Country>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "processor_class": "DonutProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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