End of training

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: donut-base-ocr2
+  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-base-ocr2
+
+This model is a fine-tuned version of [BadreddineHug/donut-base-ocr1](https://huggingface.co/BadreddineHug/donut-base-ocr1) on the imagefolder dataset.
+
+## 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: 0.001
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

added_tokens.json

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+{
+  "</s_DOMAIN>": 57538,
+  "</s_HT_amount>": 57536,
+  "</s_ICE>": 57534,
+  "</s_TAX>": 57532,
+  "</s_Total_amount>": 57530,
+  "</s_client>": 57528,
+  "</s_invoice_no>": 57526,
+  "<s_DOMAIN>": 57537,
+  "<s_HT_amount>": 57535,
+  "<s_ICE>": 57533,
+  "<s_TAX>": 57531,
+  "<s_Total_amount>": 57529,
+  "<s_client>": 57527,
+  "<s_iitcdip>": 57523,
+  "<s_invoice_no>": 57525,
+  "<s_synthdog>": 57524,
+  "<sep/>": 57522
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 512,
+  "pad_token_id": 1,
+  "transformers_version": "4.29.2"
+}

preprocessor_config.json

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+{
+  "do_align_long_axis": false,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_thumbnail": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "DonutImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 960,
+    "width": 720
+  }
+}

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sentencepiece.bpe.model

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<s_invoice_no>",
+    "</s_invoice_no>",
+    "<s_client>",
+    "</s_client>",
+    "<s_Total_amount>",
+    "</s_Total_amount>",
+    "<s_TAX>",
+    "</s_TAX>",
+    "<s_ICE>",
+    "</s_ICE>",
+    "<s_HT_amount>",
+    "</s_HT_amount>",
+    "<s_DOMAIN>",
+    "</s_DOMAIN>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "processor_class": "DonutProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}